Adding the sqlite sourcecode

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This directory contains an SQLite extension that implements a virtual
table type that allows users to create, query and manipulate r-tree[1]
data structures inside of SQLite databases. Users create, populate
and query r-tree structures using ordinary SQL statements.
1. SQL Interface
1.1 Table Creation
1.2 Data Manipulation
1.3 Data Querying
1.4 Introspection and Analysis
2. Compilation and Deployment
3. References
1. SQL INTERFACE
1.1 Table Creation.
All r-tree virtual tables have an odd number of columns between
3 and 11. Unlike regular SQLite tables, r-tree tables are strongly
typed.
The leftmost column is always the primary key and contains 64-bit
integer values. Each subsequent column contains a 32-bit real
value. For each pair of real values, the first (leftmost) must be
less than or equal to the second. R-tree tables may be
constructed using the following syntax:
CREATE VIRTUAL TABLE <name> USING rtree(<column-names>)
For example:
CREATE VIRTUAL TABLE boxes USING rtree(boxno, xmin, xmax, ymin, ymax);
INSERT INTO boxes VALUES(1, 1.0, 3.0, 2.0, 4.0);
Constructing a virtual r-tree table <name> creates the following three
real tables in the database to store the data structure:
<name>_node
<name>_rowid
<name>_parent
Dropping or modifying the contents of these tables directly will
corrupt the r-tree structure. To delete an r-tree from a database,
use a regular DROP TABLE statement:
DROP TABLE <name>;
Dropping the main r-tree table automatically drops the automatically
created tables.
1.2 Data Manipulation (INSERT, UPDATE, DELETE).
The usual INSERT, UPDATE or DELETE syntax is used to manipulate data
stored in an r-tree table. Please note the following:
* Inserting a NULL value into the primary key column has the
same effect as inserting a NULL into an INTEGER PRIMARY KEY
column of a regular table. The system automatically assigns
an unused integer key value to the new record. Usually, this
is one greater than the largest primary key value currently
present in the table.
* Attempting to insert a duplicate primary key value fails with
an SQLITE_CONSTRAINT error.
* Attempting to insert or modify a record such that the value
stored in the (N*2)th column is greater than that stored in
the (N*2+1)th column fails with an SQLITE_CONSTRAINT error.
* When a record is inserted, values are always converted to
the required type (64-bit integer or 32-bit real) as if they
were part of an SQL CAST expression. Non-numeric strings are
converted to zero.
1.3 Queries.
R-tree tables may be queried using all of the same SQL syntax supported
by regular tables. However, some query patterns are more efficient
than others.
R-trees support fast lookup by primary key value (O(logN), like
regular tables).
Any combination of equality and range (<, <=, >, >=) constraints
on spatial data columns may be used to optimize other queries. This
is the key advantage to using r-tree tables instead of creating
indices on regular tables.
1.4 Introspection and Analysis.
TODO: Describe rtreenode() and rtreedepth() functions.
2. COMPILATION AND USAGE
The easiest way to compile and use the RTREE extension is to build
and use it as a dynamically loadable SQLite extension. To do this
using gcc on *nix:
gcc -shared rtree.c -o libSqliteRtree.so
You may need to add "-I" flags so that gcc can find sqlite3ext.h
and sqlite3.h. The resulting shared lib, libSqliteRtree.so, may be
loaded into sqlite in the same way as any other dynamicly loadable
extension.
3. REFERENCES
[1] Atonin Guttman, "R-trees - A Dynamic Index Structure For Spatial
Searching", University of California Berkeley, 1984.
[2] Norbert Beckmann, Hans-Peter Kriegel, Ralf Schneider, Bernhard Seeger,
"The R*-tree: An Efficient and Robust Access Method for Points and
Rectangles", Universitaet Bremen, 1990.
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/*
** 2008 May 26
**
** The author disclaims copyright to this source code. In place of
** a legal notice, here is a blessing:
**
** May you do good and not evil.
** May you find forgiveness for yourself and forgive others.
** May you share freely, never taking more than you give.
**
******************************************************************************
**
** This header file is used by programs that want to link against the
** RTREE library. All it does is declare the sqlite3RtreeInit() interface.
*/
#include "sqlite3.h"
#ifdef SQLITE_OMIT_VIRTUALTABLE
# undef SQLITE_ENABLE_RTREE
#endif
#ifdef __cplusplus
extern "C" {
#endif /* __cplusplus */
int sqlite3RtreeInit(sqlite3 *db);
#ifdef __cplusplus
} /* extern "C" */
#endif /* __cplusplus */
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# 2008 Feb 19
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing the r-tree extension.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
set testprefix rtree1
# Test plan:
#
# rtree-1.*: Creating/destroying r-tree tables.
# rtree-2.*: Test the implicit constraints - unique rowid and
# (coord[N]<=coord[N+1]) for even values of N. Also
# automatic assigning of rowid values.
# rtree-3.*: Linear scans of r-tree data.
# rtree-4.*: Test INSERT
# rtree-5.*: Test DELETE
# rtree-6.*: Test UPDATE
# rtree-7.*: Test renaming an r-tree table.
# rtree-8.*: Test constrained scans of r-tree data.
#
# rtree-12.*: Test that on-conflict clauses are supported.
# rtree-13.*: Test that bug [d2889096e7bdeac6d] has been fixed.
# rtree-14.*: Test if a non-integer is inserted into the PK column of an
# r-tree table, it is converted to an integer before being
# inserted. Also that if a non-numeric is inserted into one
# of the min/max dimension columns, it is converted to the
# required type before being inserted.
# rtree-15.*: Check that DROP TABLE works within a transaction that
# writes to an r-tree table.
#
ifcapable !rtree {
finish_test
return
}
#----------------------------------------------------------------------------
# Test cases rtree-1.* test CREATE and DROP table statements.
#
# Test creating and dropping an rtree table.
#
do_test rtree-1.1.1 {
execsql { CREATE VIRTUAL TABLE t1 USING rtree(ii, x1, x2, y1, y2) }
} {}
do_test rtree-1.1.2a {
execsql { SELECT name FROM sqlite_master ORDER BY name }
} {t1 t1_node t1_parent t1_rowid}
do_execsql_test rtree-1.1.2b {
SELECT name FROM pragma_table_list WHERE type='shadow' ORDER BY name;
} {t1_node t1_parent t1_rowid}
do_test rtree-1.1.3 {
execsql {
DROP TABLE t1;
SELECT name FROM sqlite_master ORDER BY name;
}
} {}
# Test creating and dropping an rtree table with an odd name in
# an attached database.
#
do_test rtree-1.2.1 {
file delete -force test2.db
execsql {
ATTACH 'test2.db' AS aux;
CREATE VIRTUAL TABLE aux.'a" "b' USING rtree(ii, x1, x2, y1, y2);
}
} {}
do_test rtree-1.2.2 {
execsql { SELECT name FROM sqlite_master ORDER BY name }
} {}
do_test rtree-1.2.3 {
execsql { SELECT name FROM aux.sqlite_master ORDER BY name }
} {{a" "b} {a" "b_node} {a" "b_parent} {a" "b_rowid}}
do_test rtree-1.2.4 {
execsql {
DROP TABLE aux.'a" "b';
SELECT name FROM aux.sqlite_master ORDER BY name;
}
} {}
# Test that the logic for checking the number of columns specified
# for an rtree table. Acceptable values are odd numbers between 3 and
# 11, inclusive.
#
set cols [list i1 i2 i3 i4 i5 i6 i7 i8 i9 iA iB iC iD iE iF iG iH iI iJ iK]
for {set nCol 1} {$nCol<[llength $cols]} {incr nCol} {
set columns [join [lrange $cols 0 [expr {$nCol-1}]] ,]
set X {0 {}}
if {$nCol%2 == 0} { set X {1 {Wrong number of columns for an rtree table}} }
if {$nCol < 3} { set X {1 {Too few columns for an rtree table}} }
if {$nCol > 11} { set X {1 {Too many columns for an rtree table}} }
do_test rtree-1.3.$nCol {
catchsql "
CREATE VIRTUAL TABLE t1 USING rtree($columns);
"
} $X
catchsql { DROP TABLE t1 }
}
do_catchsql_test rtree-1.3.1000 {
CREATE VIRTUAL TABLE t1000 USING rtree;
} {1 {Too few columns for an rtree table}}
# Like execsql except display output as integer where that can be
# done without loss of information.
#
proc execsql_intout {sql} {
set out {}
foreach term [execsql $sql] {
regsub {\.0$} $term {} term
lappend out $term
}
return $out
}
# Test that it is possible to open an existing database that contains
# r-tree tables.
#
do_execsql_test rtree-1.4.1a {
CREATE VIRTUAL TABLE t1 USING rtree(ii, x1, x2);
INSERT INTO t1 VALUES(1, 5.0, 10.0);
SELECT substr(hex(data),1,40) FROM t1_node;
} {00000001000000000000000140A0000041200000}
do_execsql_test rtree-1.4.1b {
INSERT INTO t1 VALUES(2, 15.0, 20.0);
} {}
do_test rtree-1.4.2 {
db close
sqlite3 db test.db
execsql_intout { SELECT * FROM t1 ORDER BY ii }
} {1 5 10 2 15 20}
do_test rtree-1.4.3 {
execsql { DROP TABLE t1 }
} {}
# Test that it is possible to create an r-tree table with ridiculous
# column names.
#
do_test rtree-1.5.1 {
execsql_intout {
CREATE VIRTUAL TABLE t1 USING rtree("the key", "x dim.", "x2'dim");
INSERT INTO t1 VALUES(1, 2, 3);
SELECT "the key", "x dim.", "x2'dim" FROM t1;
}
} {1 2 3}
do_test rtree-1.5.1 {
execsql { DROP TABLE t1 }
} {}
# Force the r-tree constructor to fail.
#
do_test rtree-1.6.1 {
execsql { CREATE TABLE t1_rowid(a); }
catchsql {
CREATE VIRTUAL TABLE t1 USING rtree("the key", "x dim.", "x2'dim");
}
} {1 {table "t1_rowid" already exists}}
do_test rtree-1.6.1 {
execsql { DROP TABLE t1_rowid }
} {}
#----------------------------------------------------------------------------
# Test cases rtree-2.*
#
do_test rtree-2.1.1 {
execsql {
CREATE VIRTUAL TABLE t1 USING rtree(ii, x1, x2, y1, y2);
SELECT * FROM t1;
}
} {}
do_test rtree-2.1.2 {
execsql { INSERT INTO t1 VALUES(NULL, 1, 3, 2, 4) }
execsql_intout { SELECT * FROM t1 }
} {1 1 3 2 4}
do_test rtree-2.1.3 {
execsql { INSERT INTO t1 VALUES(NULL, 1, 3, 2, 4) }
execsql { SELECT rowid FROM t1 ORDER BY rowid }
} {1 2}
do_test rtree-2.1.3 {
execsql { INSERT INTO t1 VALUES(NULL, 1, 3, 2, 4) }
execsql { SELECT ii FROM t1 ORDER BY ii }
} {1 2 3}
do_test rtree-2.2.1 {
catchsql { INSERT INTO t1 VALUES(2, 1, 3, 2, 4) }
} {1 {UNIQUE constraint failed: t1.ii}}
do_test rtree-2.2.2 {
catchsql { INSERT INTO t1 VALUES(4, 1, 3, 4, 2) }
} {1 {rtree constraint failed: t1.(y1<=y2)}}
do_test rtree-2.2.3 {
catchsql { INSERT INTO t1 VALUES(4, 3, 1, 2, 4) }
} {1 {rtree constraint failed: t1.(x1<=x2)}}
do_test rtree-2.2.4 {
execsql { SELECT ii FROM t1 ORDER BY ii }
} {1 2 3}
do_test rtree-2.X {
execsql { DROP TABLE t1 }
} {}
#----------------------------------------------------------------------------
# Test cases rtree-3.* test linear scans of r-tree table data. To test
# this we have to insert some data into an r-tree, but that is not the
# focus of these tests.
#
do_test rtree-3.1.1 {
execsql {
CREATE VIRTUAL TABLE t1 USING rtree(ii, x1, x2, y1, y2);
SELECT * FROM t1;
}
} {}
do_test rtree-3.1.2 {
execsql_intout {
INSERT INTO t1 VALUES(5, 1, 3, 2, 4);
SELECT * FROM t1;
}
} {5 1 3 2 4}
do_test rtree-3.1.3 {
execsql_intout {
INSERT INTO t1 VALUES(6, 2, 6, 4, 8);
SELECT * FROM t1;
}
} {5 1 3 2 4 6 2 6 4 8}
# Test the constraint on the coordinates (c[i]<=c[i+1] where (i%2==0)):
do_test rtree-3.2.1 {
catchsql { INSERT INTO t1 VALUES(7, 2, 6, 4, 3) }
} {1 {rtree constraint failed: t1.(y1<=y2)}}
do_test rtree-3.2.2 {
catchsql { INSERT INTO t1 VALUES(8, 2, 6, 3, 3) }
} {0 {}}
#----------------------------------------------------------------------------
# Test cases rtree-5.* test DELETE operations.
#
do_test rtree-5.1.1 {
execsql { CREATE VIRTUAL TABLE t2 USING rtree(ii, x1, x2) }
} {}
do_test rtree-5.1.2 {
execsql_intout {
INSERT INTO t2 VALUES(1, 10, 20);
INSERT INTO t2 VALUES(2, 30, 40);
INSERT INTO t2 VALUES(3, 50, 60);
SELECT * FROM t2 ORDER BY ii;
}
} {1 10 20 2 30 40 3 50 60}
do_test rtree-5.1.3 {
execsql_intout {
DELETE FROM t2 WHERE ii=2;
SELECT * FROM t2 ORDER BY ii;
}
} {1 10 20 3 50 60}
do_test rtree-5.1.4 {
execsql_intout {
DELETE FROM t2 WHERE ii=1;
SELECT * FROM t2 ORDER BY ii;
}
} {3 50 60}
do_test rtree-5.1.5 {
execsql {
DELETE FROM t2 WHERE ii=3;
SELECT * FROM t2 ORDER BY ii;
}
} {}
do_test rtree-5.1.6 {
execsql { SELECT * FROM t2_rowid }
} {}
#----------------------------------------------------------------------------
# Test cases rtree-5.* test UPDATE operations.
#
do_test rtree-6.1.1 {
execsql { CREATE VIRTUAL TABLE t3 USING rtree(ii, x1, x2, y1, y2) }
} {}
do_test rtree-6.1.2 {
execsql_intout {
INSERT INTO t3 VALUES(1, 2, 3, 4, 5);
UPDATE t3 SET x2=5;
SELECT * FROM t3;
}
} {1 2 5 4 5}
do_test rtree-6.1.3 {
execsql { UPDATE t3 SET ii = 2 }
execsql_intout { SELECT * FROM t3 }
} {2 2 5 4 5}
#----------------------------------------------------------------------------
# Test cases rtree-7.* test rename operations.
#
do_test rtree-7.1.1 {
execsql {
CREATE VIRTUAL TABLE t4 USING rtree(ii, x1, x2, y1, y2, z1, z2);
INSERT INTO t4 VALUES(1, 2, 3, 4, 5, 6, 7);
}
} {}
do_test rtree-7.1.2 {
execsql { ALTER TABLE t4 RENAME TO t5 }
execsql_intout { SELECT * FROM t5 }
} {1 2 3 4 5 6 7}
do_test rtree-7.1.3 {
db close
sqlite3 db test.db
execsql_intout { SELECT * FROM t5 }
} {1 2 3 4 5 6 7}
do_test rtree-7.1.4 {
execsql { ALTER TABLE t5 RENAME TO 'raisara "one"'''}
execsql_intout { SELECT * FROM "raisara ""one""'" }
} {1 2 3 4 5 6 7}
do_test rtree-7.1.5 {
execsql_intout { SELECT * FROM 'raisara "one"''' }
} {1 2 3 4 5 6 7}
do_test rtree-7.1.6 {
execsql { ALTER TABLE "raisara ""one""'" RENAME TO "abc 123" }
execsql_intout { SELECT * FROM "abc 123" }
} {1 2 3 4 5 6 7}
do_test rtree-7.1.7 {
db close
sqlite3 db test.db
execsql_intout { SELECT * FROM "abc 123" }
} {1 2 3 4 5 6 7}
# An error midway through a rename operation.
do_test rtree-7.2.1 {
execsql {
CREATE TABLE t4_node(a);
}
catchsql { ALTER TABLE "abc 123" RENAME TO t4 }
} {1 {SQL logic error}}
do_test rtree-7.2.2 {
execsql_intout { SELECT * FROM "abc 123" }
} {1 2 3 4 5 6 7}
do_test rtree-7.2.3 {
execsql {
DROP TABLE t4_node;
CREATE TABLE t4_rowid(a);
}
catchsql { ALTER TABLE "abc 123" RENAME TO t4 }
} {1 {SQL logic error}}
do_test rtree-7.2.4 {
db close
sqlite3 db test.db
execsql_intout { SELECT * FROM "abc 123" }
} {1 2 3 4 5 6 7}
do_test rtree-7.2.5 {
execsql { DROP TABLE t4_rowid }
execsql { ALTER TABLE "abc 123" RENAME TO t4 }
execsql_intout { SELECT * FROM t4 }
} {1 2 3 4 5 6 7}
#----------------------------------------------------------------------------
# Test cases rtree-8.*
#
# Test that the function to determine if a leaf cell is part of the
# result set works.
do_test rtree-8.1.1 {
execsql {
CREATE VIRTUAL TABLE t6 USING rtree(ii, x1, x2);
INSERT INTO t6 VALUES(1, 3, 7);
INSERT INTO t6 VALUES(2, 4, 6);
}
} {}
do_test rtree-8.1.2 { execsql { SELECT ii FROM t6 WHERE x1>2 } } {1 2}
do_test rtree-8.1.3 { execsql { SELECT ii FROM t6 WHERE x1>3 } } {2}
do_test rtree-8.1.4 { execsql { SELECT ii FROM t6 WHERE x1>4 } } {}
do_test rtree-8.1.5 { execsql { SELECT ii FROM t6 WHERE x1>5 } } {}
do_test rtree-8.1.6 { execsql { SELECT ii FROM t6 WHERE x1>''} } {}
do_test rtree-8.1.7 { execsql { SELECT ii FROM t6 WHERE x1>null}} {}
do_test rtree-8.1.8 { execsql { SELECT ii FROM t6 WHERE x1>'2'} } {1 2}
do_test rtree-8.1.9 { execsql { SELECT ii FROM t6 WHERE x1>'3'} } {2}
do_test rtree-8.2.2 { execsql { SELECT ii FROM t6 WHERE x1>=2 } } {1 2}
do_test rtree-8.2.3 { execsql { SELECT ii FROM t6 WHERE x1>=3 } } {1 2}
do_test rtree-8.2.4 { execsql { SELECT ii FROM t6 WHERE x1>=4 } } {2}
do_test rtree-8.2.5 { execsql { SELECT ii FROM t6 WHERE x1>=5 } } {}
do_test rtree-8.2.6 { execsql { SELECT ii FROM t6 WHERE x1>=''} } {}
do_test rtree-8.2.7 { execsql { SELECT ii FROM t6 WHERE x1>=null}} {}
do_test rtree-8.2.8 { execsql { SELECT ii FROM t6 WHERE x1>='4'} } {2}
do_test rtree-8.2.9 { execsql { SELECT ii FROM t6 WHERE x1>='5'} } {}
do_test rtree-8.3.2 { execsql { SELECT ii FROM t6 WHERE x1<2 } } {}
do_test rtree-8.3.3 { execsql { SELECT ii FROM t6 WHERE x1<3 } } {}
do_test rtree-8.3.4 { execsql { SELECT ii FROM t6 WHERE x1<4 } } {1}
do_test rtree-8.3.5 { execsql { SELECT ii FROM t6 WHERE x1<5 } } {1 2}
do_test rtree-8.3.6 { execsql { SELECT ii FROM t6 WHERE x1<''} } {1 2}
do_test rtree-8.3.7 { execsql { SELECT ii FROM t6 WHERE x1<null}} {}
do_test rtree-8.3.8 { execsql { SELECT ii FROM t6 WHERE x1<'3'} } {}
do_test rtree-8.3.9 { execsql { SELECT ii FROM t6 WHERE x1<'4'} } {1}
do_test rtree-8.4.2 { execsql { SELECT ii FROM t6 WHERE x1<=2 } } {}
do_test rtree-8.4.3 { execsql { SELECT ii FROM t6 WHERE x1<=3 } } {1}
do_test rtree-8.4.4 { execsql { SELECT ii FROM t6 WHERE x1<=4 } } {1 2}
do_test rtree-8.4.5 { execsql { SELECT ii FROM t6 WHERE x1<=5 } } {1 2}
do_test rtree-8.4.6 { execsql { SELECT ii FROM t6 WHERE x1<=''} } {1 2}
do_test rtree-8.4.7 { execsql { SELECT ii FROM t6 WHERE x1<=null}} {}
do_test rtree-8.5.2 { execsql { SELECT ii FROM t6 WHERE x1=2 } } {}
do_test rtree-8.5.3 { execsql { SELECT ii FROM t6 WHERE x1=3 } } {1}
do_test rtree-8.5.4 { execsql { SELECT ii FROM t6 WHERE x1=4 } } {2}
do_test rtree-8.5.5 { execsql { SELECT ii FROM t6 WHERE x1=5 } } {}
do_test rtree-8.5.6 { execsql { SELECT ii FROM t6 WHERE x1=''} } {}
do_test rtree-8.5.7 { execsql { SELECT ii FROM t6 WHERE x1=null}} {}
#----------------------------------------------------------------------------
# Test cases rtree-9.*
#
# Test that ticket #3549 is fixed.
do_test rtree-9.1 {
execsql {
CREATE TABLE foo (id INTEGER PRIMARY KEY);
CREATE VIRTUAL TABLE bar USING rtree (id, minX, maxX, minY, maxY);
INSERT INTO foo VALUES (null);
INSERT INTO foo SELECT null FROM foo;
INSERT INTO foo SELECT null FROM foo;
INSERT INTO foo SELECT null FROM foo;
INSERT INTO foo SELECT null FROM foo;
INSERT INTO foo SELECT null FROM foo;
INSERT INTO foo SELECT null FROM foo;
DELETE FROM foo WHERE id > 40;
INSERT INTO bar SELECT NULL, 0, 0, 0, 0 FROM foo;
}
} {}
# This used to crash.
do_test rtree-9.2 {
execsql {
SELECT count(*) FROM bar b1, bar b2, foo s1 WHERE s1.id = b1.id;
}
} {1600}
do_test rtree-9.3 {
execsql {
SELECT count(*) FROM bar b1, bar b2, foo s1
WHERE b1.minX <= b2.maxX AND s1.id = b1.id;
}
} {1600}
#-------------------------------------------------------------------------
# Ticket #3970: Check that the error message is meaningful when a
# keyword is used as a column name.
#
do_test rtree-10.1 {
catchsql { CREATE VIRTUAL TABLE t7 USING rtree(index, x1, y1, x2, y2) }
} {1 {near "index": syntax error}}
#-------------------------------------------------------------------------
# Test last_insert_rowid().
#
do_test rtree-11.1 {
execsql {
CREATE VIRTUAL TABLE t8 USING rtree(idx, x1, x2, y1, y2);
INSERT INTO t8 VALUES(1, 1.0, 1.0, 2.0, 2.0);
SELECT last_insert_rowid();
}
} {1}
do_test rtree-11.2 {
execsql {
INSERT INTO t8 VALUES(NULL, 1.0, 1.0, 2.0, 2.0);
SELECT last_insert_rowid();
}
} {2}
#-------------------------------------------------------------------------
# Test on-conflict clause handling.
#
db_delete_and_reopen
do_execsql_test 12.0.1 {
CREATE VIRTUAL TABLE t1 USING rtree_i32(idx, x1, x2, y1, y2);
INSERT INTO t1 VALUES(1, 1, 2, 3, 4);
SELECT substr(hex(data),1,56) FROM t1_node;
} {00000001000000000000000100000001000000020000000300000004}
do_execsql_test 12.0.2 {
INSERT INTO t1 VALUES(2, 2, 3, 4, 5);
INSERT INTO t1 VALUES(3, 3, 4, 5, 6);
CREATE TABLE source(idx, x1, x2, y1, y2);
INSERT INTO source VALUES(5, 8, 8, 8, 8);
INSERT INTO source VALUES(2, 7, 7, 7, 7);
}
db_save_and_close
foreach {tn sql_template testdata} {
1 "INSERT %CONF% INTO t1 VALUES(2, 7, 7, 7, 7)" {
ROLLBACK 0 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6}
ABORT 0 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
IGNORE 0 0 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
FAIL 0 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
REPLACE 0 0 {1 1 2 3 4 2 7 7 7 7 3 3 4 5 6 4 4 5 6 7}
}
2 "INSERT %CONF% INTO t1 SELECT * FROM source" {
ROLLBACK 1 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6}
ABORT 1 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
IGNORE 1 0 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7 5 8 8 8 8}
FAIL 1 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7 5 8 8 8 8}
REPLACE 1 0 {1 1 2 3 4 2 7 7 7 7 3 3 4 5 6 4 4 5 6 7 5 8 8 8 8}
}
3 "UPDATE %CONF% t1 SET idx = 2 WHERE idx = 4" {
ROLLBACK 0 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6}
ABORT 0 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
IGNORE 0 0 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
FAIL 0 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
REPLACE 0 0 {1 1 2 3 4 2 4 5 6 7 3 3 4 5 6}
}
3 "UPDATE %CONF% t1 SET idx = ((idx+1)%5)+1 WHERE idx > 2" {
ROLLBACK 1 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6}
ABORT 1 1 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
IGNORE 1 0 {1 1 2 3 4 2 2 3 4 5 4 4 5 6 7 5 3 4 5 6}
FAIL 1 1 {1 1 2 3 4 2 2 3 4 5 4 4 5 6 7 5 3 4 5 6}
REPLACE 1 0 {1 4 5 6 7 2 2 3 4 5 5 3 4 5 6}
}
4 "INSERT %CONF% INTO t1 VALUES(2, 7, 6, 7, 7)" {
ROLLBACK 0 2 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6}
ABORT 0 2 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
IGNORE 0 0 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
FAIL 0 2 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
REPLACE 0 2 {1 1 2 3 4 2 2 3 4 5 3 3 4 5 6 4 4 5 6 7}
}
} {
foreach {mode uses error data} $testdata {
db_restore_and_reopen
set sql [string map [list %CONF% "OR $mode"] $sql_template]
set testname "12.$tn.[string tolower $mode]"
execsql {
BEGIN;
INSERT INTO t1 VALUES(4, 4, 5, 6, 7);
}
set res(0) {0 {}}
set res(1) {1 {UNIQUE constraint failed: t1.idx}}
set res(2) {1 {rtree constraint failed: t1.(x1<=x2)}}
do_catchsql_test $testname.1 $sql $res($error)
do_test $testname.2 [list sql_uses_stmt db $sql] $uses
do_execsql_test $testname.3 { SELECT * FROM t1 ORDER BY idx } $data
do_rtree_integrity_test $testname.4 t1
db close
}
}
#-------------------------------------------------------------------------
# Test that bug [d2889096e7bdeac6d] has been fixed.
#
reset_db
do_execsql_test 13.1 {
CREATE VIRTUAL TABLE t9 USING rtree(id, xmin, xmax);
INSERT INTO t9 VALUES(1,0,0);
INSERT INTO t9 VALUES(2,0,0);
SELECT * FROM t9 WHERE id IN (1, 2);
} {1 0.0 0.0 2 0.0 0.0}
do_execsql_test 13.2 {
WITH r(x) AS (
SELECT 1 UNION ALL
SELECT 2 UNION ALL
SELECT 3
)
SELECT * FROM r CROSS JOIN t9 WHERE id=x;
} {1 1 0.0 0.0 2 2 0.0 0.0}
#-------------------------------------------------------------------------
# Test if a non-integer is inserted into the PK column of an r-tree
# table, it is converted to an integer before being inserted. Also
# that if a non-numeric is inserted into one of the min/max dimension
# columns, it is converted to the required type before being inserted.
#
do_execsql_test 14.1 {
CREATE VIRTUAL TABLE t10 USING rtree(ii, x1, x2);
}
do_execsql_test 14.2 {
INSERT INTO t10 VALUES(NULL, 1, 2);
INSERT INTO t10 VALUES(NULL, 2, 3);
INSERT INTO t10 VALUES('4xxx', 3, 4);
INSERT INTO t10 VALUES(5.0, 4, 5);
INSERT INTO t10 VALUES(6.4, 5, 6);
}
do_execsql_test 14.3 {
SELECT * FROM t10;
} {
1 1.0 2.0 2 2.0 3.0 4 3.0 4.0 5 4.0 5.0 6 5.0 6.0
}
do_execsql_test 14.4 {
DELETE FROM t10;
INSERT INTO t10 VALUES(1, 'one', 'two');
INSERT INTO t10 VALUES(2, '52xyz', '81...');
}
do_execsql_test 14.5 {
SELECT * FROM t10;
} {
1 0.0 0.0
2 52.0 81.0
}
do_execsql_test 14.6 {
INSERT INTO t10 VALUES(0,10,20);
SELECT * FROM t10 WHERE ii=NULL;
} {}
do_execsql_test 14.7 {
SELECT * FROM t10 WHERE ii='xyz';
} {}
do_execsql_test 14.8 {
SELECT * FROM t10 WHERE ii='0.0';
} {0 10.0 20.0}
do_execsql_test 14.9 {
SELECT * FROM t10 WHERE ii=0.0;
} {0 10.0 20.0}
do_execsql_test 14.104 {
DROP TABLE t10;
CREATE VIRTUAL TABLE t10 USING rtree_i32(ii, x1, x2);
INSERT INTO t10 VALUES(1, 'one', 'two');
INSERT INTO t10 VALUES(2, '52xyz', '81...');
INSERT INTO t10 VALUES(3, 42.3, 49.9);
}
do_execsql_test 14.105 {
SELECT * FROM t10;
} {
1 0 0
2 52 81
3 42 49
}
#-------------------------------------------------------------------------
#
do_execsql_test 15.0 {
CREATE VIRTUAL TABLE rt USING rtree(id, x1,x2, y1,y2);
CREATE TEMP TABLE t13(a, b, c);
}
do_execsql_test 15.1 {
BEGIN;
INSERT INTO rt VALUES(1,2,3,4,5);
}
do_execsql_test 15.2 {
DROP TABLE t13;
COMMIT;
}
# Test cases for the new auxiliary columns feature
#
do_catchsql_test 16.100 {
CREATE VIRTUAL TABLE t16 USING rtree(id,x0,x1,y0,+aux1,x1);
} {1 {Auxiliary rtree columns must be last}}
do_test 16.110 {
set sql {
CREATE VIRTUAL TABLE t16 USING rtree(
id, x00, x01, x10, x11, x20, x21, x30, x31, x40, x41
}
for {set i 12} {$i<=100} {incr i} {
append sql ", +a$i"
}
append sql ");"
execsql $sql
} {}
do_test 16.120 {
set sql {
CREATE VIRTUAL TABLE t16b USING rtree(
id, x00, x01, x10, x11, x20, x21, x30, x31, x40, x41
}
for {set i 12} {$i<=101} {incr i} {
append sql ", +a$i"
}
append sql ");"
catchsql $sql
} {1 {Too many columns for an rtree table}}
do_execsql_test 16.130 {
DROP TABLE IF EXISTS rt1;
CREATE VIRTUAL TABLE rt1 USING rtree(id, x1, x2, +aux);
INSERT INTO rt1 VALUES(1, 1, 2, 'aux1');
INSERT INTO rt1 VALUES(2, 2, 3, 'aux2');
INSERT INTO rt1 VALUES(3, 3, 4, 'aux3');
INSERT INTO rt1 VALUES(4, 4, 5, 'aux4');
SELECT * FROM rt1 WHERE id IN (1, 2, 3, 4);
} {1 1.0 2.0 aux1 2 2.0 3.0 aux2 3 3.0 4.0 aux3 4 4.0 5.0 aux4}
reset_db
do_execsql_test 17.0 {
CREATE VIRTUAL TABLE t1 USING rtree(id, x1 PRIMARY KEY, x2, y1, y2);
CREATE VIRTUAL TABLE t2 USING rtree(id, x1, x2, y1, y2 UNIQUE);
}
do_execsql_test 17.1 {
REINDEX t1;
REINDEX t2;
} {}
do_execsql_test 17.2 {
REINDEX;
} {}
reset_db
do_execsql_test 18.0 {
CREATE VIRTUAL TABLE rt0 USING rtree(c0, c1, c2);
INSERT INTO rt0(c0,c1,c2) VALUES(9,2,3);
SELECT c0 FROM rt0 WHERE rt0.c1 > '-1';
SELECT rt0.c1 > '-1' FROM rt0;
} {9 1}
expand_all_sql db
# 2020-02-28 ticket e63b4d1a65546532
reset_db
do_execsql_test 19.0 {
CREATE VIRTUAL TABLE rt0 USING rtree(a,b,c);
INSERT INTO rt0(a,b,c) VALUES(0,0.0,0.0);
CREATE VIEW v0(x) AS SELECT DISTINCT rt0.b FROM rt0;
SELECT v0.x FROM v0, rt0;
} {0.0}
do_execsql_test 19.1 {
SELECT v0.x FROM v0, rt0 WHERE v0.x = rt0.b;
} {0.0}
# 2022-06-20 https://sqlite.org/forum/forumpost/57bdf2217d
#
reset_db
do_execsql_test 20.0 {
CREATE VIRTUAL TABLE rt0 USING rtree(id, x0, x1);
CREATE TABLE t0(a INT);
CREATE TABLE t1(b INT);
INSERT INTO rt0 VALUES(0, 0, 0);
}
do_catchsql_test 20.1 {
SELECT * FROM t1 JOIN t0 ON x0>a RIGHT JOIN rt0 ON true WHERE +x0 = 0;
} {1 {ON clause references tables to its right}}
do_catchsql_test 20.2 {
SELECT * FROM t1 JOIN t0 ON x0>a RIGHT JOIN rt0 ON true WHERE x0 = 0;
} {1 {ON clause references tables to its right}}
db null -
do_execsql_test 20.3 {
SELECT * FROM t1 JOIN t0 ON true RIGHT JOIN rt0 ON x0>a WHERE +x0 = 0;
} {- - 0 0.0 0.0}
do_execsql_test 20.4 {
SELECT * FROM t1 JOIN t0 ON true RIGHT JOIN rt0 ON x0>a WHERE x0 = 0;
} {- - 0 0.0 0.0}
# 2023-05-19 https://sqlite.org/forum/forumpost/da61c4a1b5b4af19
# Do not omit constraints that involve equality comparisons of
# floating-point values.
#
reset_db
do_execsql_test 21.0 {
CREATE VIRTUAL TABLE t1 USING rtree(id, x0, x1);
INSERT INTO t1 VALUES(0, 1, 9223372036854775807);
SELECT count(*) FROM t1 WHERE x1=9223372036854775807;
} {0}
do_execsql_test 21.1 {
SELECT x1=9223372036854775807 FROM t1;
} {0}
# 2023-05-22 https://sqlite.org/forum/forumpost/da70ee0d0d
# Round-off error associated with using large integer constraints on
# a rtree search.
#
if {$tcl_platform(machine)!="i686" || $tcl_platform(os)!="Linux"} {
reset_db
do_execsql_test 22.0 {
CREATE VIRTUAL TABLE t1 USING rtree ( id, x0, x1 );
INSERT INTO t1 VALUES (123, 9223372036854775799, 9223372036854775800);
SELECT id FROM t1 WHERE x0 > 9223372036854775807;
} {123}
do_execsql_test 22.1 {
SELECT id, x0 > 9223372036854775807 AS 'a0' FROM t1;
} {123 1}
}
# 2023-10-14 dbsqlfuzz --sql-fuzz find. rtreecheck() should not call
# BEGIN/COMMIT because that causes problems with statement transactions,
# and it is unnecessary.
#
reset_db
do_test 23.0 {
db eval {CREATE TABLE t1(a,b,c);}
catch {db eval {CREATE TABLE t2 AS SELECT rtreecheck('t1') AS y;}}
db eval {PRAGMA integrity_check;}
} {ok}
reset_db
do_execsql_test 24.0 {
CREATE VIRTUAL TABLE rt1 USING rtree_i32(rid, c1, c2);
INSERT INTO rt1(rid, c1, c2) VALUES (9223372036854775807, 10, 18);
}
do_execsql_test 24.1 {
SELECT (rid = (CAST (9223372036854775807 AS REAL)))
FROM rt1 WHERE
(rid = (CAST (9223372036854775807 AS REAL)));
}
do_execsql_test 24.2 {
DELETE FROM rt1;
INSERT INTO rt1(rid, c1, c2) VALUES(1,2,3);
SELECT * FROM rt1 WHERE rid=1.005;
} {}
finish_test
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# 2008 Feb 19
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing the r-tree extension.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree {
finish_test
return
}
set ::NROW 1000
set ::NDEL 10
set ::NSELECT 100
if {[info exists G(isquick)] && $G(isquick)} {
set ::NROW 100
set ::NSELECT 10
}
foreach module {rtree_i32 rtree} {
if {$module=="rtree_i32"} {set etype INT} {set etype REAL}
for {set nDim 1} {$nDim <= 5} {incr nDim} {
do_test rtree2-$module.$nDim.1 {
set cols [list]
foreach c [list c0 c1 c2 c3 c4 c5 c6 c7 c8 c9] {
lappend cols "$c $etype"
}
set cols [join [lrange $cols 0 [expr {$nDim*2-1}]] ", "]
execsql "
CREATE VIRTUAL TABLE t1 USING ${module}(ii, $cols);
CREATE TABLE t2 (ii, $cols);
"
} {}
do_test rtree2-$module.$nDim.2 {
db transaction {
for {set ii 0} {$ii < $::NROW} {incr ii} {
#puts "Row $ii"
set values [list]
for {set jj 0} {$jj<$nDim*2} {incr jj} {
lappend values [expr int(rand()*1000)]
}
set values [join $values ,]
#puts [rtree_treedump db t1]
#puts "INSERT INTO t2 VALUES($ii, $values)"
set rc [catch {db eval "INSERT INTO t1 VALUES($ii, $values)"}]
if {$rc} {
incr ii -1
} else {
db eval "INSERT INTO t2 VALUES($ii, $values)"
}
#if {[rtree_check db t1]} {
#puts [rtree_treedump db t1]
#exit
#}
}
}
set t1 [execsql {SELECT * FROM t1 ORDER BY ii}]
set t2 [execsql {SELECT * FROM t2 ORDER BY ii}]
set rc [expr {$t1 eq $t2}]
if {$rc != 1} {
puts $t1
puts $t2
}
set rc
} {1}
do_rtree_integrity_test rtree2-$module.$nDim.3 t1
set OPS [list < > <= >= =]
for {set ii 0} {$ii < $::NSELECT} {incr ii} {
do_test rtree2-$module.$nDim.4.$ii.1 {
set where [list]
foreach look_three_dots! {. . .} {
set colidx [expr int(rand()*($nDim*2+1))-1]
if {$colidx<0} {
set col ii
} else {
set col "c$colidx"
}
set op [lindex $OPS [expr int(rand()*[llength $OPS])]]
set val [expr int(rand()*1000)]
lappend where "$col $op $val"
}
set where [join $where " AND "]
set t1 [execsql "SELECT * FROM t1 WHERE $where ORDER BY ii"]
set t2 [execsql "SELECT * FROM t2 WHERE $where ORDER BY ii"]
set rc [expr {$t1 eq $t2}]
if {$rc != 1} {
#puts $where
puts $t1
puts $t2
#puts [rtree_treedump db t1]
#breakpoint
#set t1 [execsql "SELECT * FROM t1 WHERE $where ORDER BY ii"]
#exit
}
set rc
} {1}
}
for {set ii 0} {$ii < $::NROW} {incr ii $::NDEL} {
#puts [rtree_treedump db t1]
do_test rtree2-$module.$nDim.5.$ii.1 {
execsql "DELETE FROM t2 WHERE ii <= $::ii"
execsql "DELETE FROM t1 WHERE ii <= $::ii"
set t1 [execsql {SELECT * FROM t1 ORDER BY ii}]
set t2 [execsql {SELECT * FROM t2 ORDER BY ii}]
set rc [expr {$t1 eq $t2}]
if {$rc != 1} {
puts $t1
puts $t2
}
set rc
} {1}
do_rtree_integrity_test rtree2-$module.$nDim.5.$ii.2 t1
}
do_test rtree2-$module.$nDim.6 {
execsql {
DROP TABLE t1;
DROP TABLE t2;
}
} {}
}
}
finish_test
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# 2008 Feb 19
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing that the r-tree correctly handles
# out-of-memory conditions.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source $testdir/tester.tcl
source $testdir/malloc_common.tcl
ifcapable !rtree {
finish_test
return
}
set ::TMPDBERROR [list 1 \
{unable to open a temporary database file for storing temporary tables}
]
# Test summary:
#
# rtree3-1: Test OOM in simple CREATE TABLE, INSERT, DELETE and SELECT
# commands on an almost empty table.
#
# rtree3-2: Test OOM in a DROP TABLE command.
#
# rtree3-3a: Test OOM during a transaction to insert 100 pseudo-random rows.
#
# rtree3-3b: Test OOM during a transaction deleting all entries in the
# database constructed in [rtree3-3a] in pseudo-random order.
#
# rtree3-4a: OOM during "SELECT count(*) FROM ..." on a big table.
#
# rtree3-4b: OOM while deleting rows from a big table.
#
# rtree3-5: Test OOM while inserting rows into a big table.
#
# rtree3-6: Test OOM while deleting all rows of a table, one at a time.
#
# rtree3-7: OOM during an ALTER TABLE RENAME TABLE command.
#
# rtree3-8: Test OOM while registering the r-tree module with sqlite.
#
# rtree3-11: OOM following a constraint failure
#
do_faultsim_test rtree3-1 -faults oom* -prep {
faultsim_delete_and_reopen
} -body {
execsql {
BEGIN TRANSACTION;
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2);
INSERT INTO rt VALUES(NULL, 3, 5, 7, 9);
INSERT INTO rt VALUES(NULL, 13, 15, 17, 19);
DELETE FROM rt WHERE ii = 1;
SELECT * FROM rt;
SELECT ii FROM rt WHERE ii = 2;
COMMIT;
}
}
do_test rtree3-2.prep {
faultsim_delete_and_reopen
execsql {
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2);
INSERT INTO rt VALUES(NULL, 3, 5, 7, 9);
}
faultsim_save_and_close
} {}
do_faultsim_test rtree3-2 -faults oom* -prep {
faultsim_restore_and_reopen
} -body {
execsql { DROP TABLE rt }
}
do_malloc_test rtree3-3.prep {
faultsim_delete_and_reopen
execsql {
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2, +a1, +a2);
INSERT INTO rt VALUES(NULL, 3, 5, 7, 9);
}
faultsim_save_and_close
} {}
do_faultsim_test rtree3-3a -faults oom* -prep {
faultsim_restore_and_reopen
} -body {
db eval BEGIN
for {set ii 0} {$ii < 100} {incr ii} {
set f [expr rand()]
db eval {INSERT INTO rt VALUES(NULL, $f*10.0, $f*10.0, $f*15.0, $f*15.0)}
}
db eval COMMIT
}
faultsim_save_and_close
do_faultsim_test rtree3-3b -faults oom* -prep {
faultsim_restore_and_reopen
} -body {
db eval BEGIN
for {set ii 0} {$ii < 100} {incr ii} {
set f [expr rand()]
db eval { DELETE FROM rt WHERE x1<($f*10.0) AND x1>($f*10.5) }
}
db eval COMMIT
}
do_test rtree3-4.prep {
faultsim_delete_and_reopen
execsql {
BEGIN;
PRAGMA page_size = 512;
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2);
}
for {set i 0} {$i < 1500} {incr i} {
execsql { INSERT INTO rt VALUES($i, $i, $i+1, $i, $i+1) }
}
execsql { COMMIT }
faultsim_save_and_close
} {}
do_faultsim_test rtree3-4a -faults oom-* -prep {
faultsim_restore_and_reopen
} -body {
db eval { SELECT count(*) FROM rt }
} -test {
faultsim_test_result {0 1500}
}
do_faultsim_test rtree3-4b -faults oom-transient -prep {
faultsim_restore_and_reopen
} -body {
db eval { DELETE FROM rt WHERE ii BETWEEN 1 AND 100 }
} -test {
faultsim_test_result {0 {}}
}
do_test rtree3-5.prep {
faultsim_delete_and_reopen
execsql {
BEGIN;
PRAGMA page_size = 512;
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2);
}
for {set i 0} {$i < 100} {incr i} {
execsql { INSERT INTO rt VALUES($i, $i, $i+1, $i, $i+1) }
}
execsql { COMMIT }
faultsim_save_and_close
} {}
do_faultsim_test rtree3-5 -faults oom-* -prep {
faultsim_restore_and_reopen
} -body {
for {set i 100} {$i < 110} {incr i} {
execsql { INSERT INTO rt VALUES($i, $i, $i+1, $i, $i+1) }
}
} -test {
faultsim_test_result {0 {}}
}
do_test rtree3-6.prep {
faultsim_delete_and_reopen
execsql {
BEGIN;
PRAGMA page_size = 512;
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2);
}
for {set i 0} {$i < 50} {incr i} {
execsql { INSERT INTO rt VALUES($i, $i, $i+1, $i, $i+1) }
}
execsql { COMMIT }
faultsim_save_and_close
} {}
do_faultsim_test rtree3-6 -faults oom-* -prep {
faultsim_restore_and_reopen
} -body {
execsql BEGIN
for {set i 0} {$i < 50} {incr i} {
execsql { DELETE FROM rt WHERE ii=$i }
}
execsql COMMIT
} -test {
faultsim_test_result {0 {}}
}
do_test rtree3-7.prep {
faultsim_delete_and_reopen
execsql { CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2) }
faultsim_save_and_close
} {}
do_faultsim_test rtree3-7 -faults oom-* -prep {
faultsim_restore_and_reopen
} -body {
execsql { ALTER TABLE rt RENAME TO rt2 }
} -test {
faultsim_test_result {0 {}} $::TMPDBERROR
}
do_faultsim_test rtree3-8 -faults oom-* -prep {
catch { db close }
} -body {
sqlite3 db test.db
}
do_faultsim_test rtree3-9 -faults oom-* -prep {
sqlite3 db :memory:
} -body {
set rc [register_cube_geom db]
if {$rc != "SQLITE_OK"} { error $rc }
} -test {
faultsim_test_result {0 {}} {1 SQLITE_NOMEM}
}
do_test rtree3-10.prep {
faultsim_delete_and_reopen
execsql {
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2, z1, z2);
INSERT INTO rt VALUES(1, 10, 10, 10, 11, 11, 11);
INSERT INTO rt VALUES(2, 5, 6, 6, 7, 7, 8);
}
faultsim_save_and_close
} {}
do_faultsim_test rtree3-10 -faults oom-* -prep {
faultsim_restore_and_reopen
register_cube_geom db
execsql { SELECT * FROM rt }
} -body {
execsql { SELECT ii FROM rt WHERE ii MATCH cube(4.5, 5.5, 6.5, 1, 1, 1) }
} -test {
faultsim_test_result {0 2}
}
do_test rtree3-11.prep {
faultsim_delete_and_reopen
execsql {
CREATE VIRTUAL TABLE rt USING rtree(ii, x1, x2, y1, y2);
INSERT INTO rt VALUES(1, 2, 3, 4, 5);
}
faultsim_save_and_close
} {}
do_faultsim_test rtree3-10.1 -faults oom-* -prep {
faultsim_restore_and_reopen
execsql { SELECT * FROM rt }
} -body {
execsql { INSERT INTO rt VALUES(1, 2, 3, 4, 5) }
} -test {
faultsim_test_result {1 {UNIQUE constraint failed: rt.ii}} \
{1 {constraint failed}}
}
do_faultsim_test rtree3-10.2 -faults oom-* -prep {
faultsim_restore_and_reopen
execsql { SELECT * FROM rt }
} -body {
execsql { INSERT INTO rt VALUES(2, 2, 3, 5, 4) }
} -test {
faultsim_test_result {1 {rtree constraint failed: rt.(y1<=y2)}} \
{1 {constraint failed}}
}
finish_test
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# 2008 May 23
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# Randomized test cases for the rtree extension.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree {
finish_test
return
}
set ::NROW 2500
if {[info exists G(isquick)] && $G(isquick)} {
set ::NROW 250
}
ifcapable !rtree_int_only {
# Return a floating point number between -X and X.
#
proc rand {X} {
return [expr {int((rand()-0.5)*1024.0*$X)/512.0}]
}
# Return a positive floating point number less than or equal to X
#
proc randincr {X} {
while 1 {
set r [expr {int(rand()*$X*32.0)/32.0}]
if {$r>0.0} {return $r}
}
}
} else {
# For rtree_int_only, return an number between -X and X.
#
proc rand {X} {
return [expr {int((rand()-0.5)*2*$X)}]
}
# Return a positive integer less than or equal to X
#
proc randincr {X} {
while 1 {
set r [expr {int(rand()*$X)+1}]
if {$r>0} {return $r}
}
}
}
# Scramble the $inlist into a random order.
#
proc scramble {inlist} {
set y {}
foreach x $inlist {
lappend y [list [expr {rand()}] $x]
}
set y [lsort $y]
set outlist {}
foreach x $y {
lappend outlist [lindex $x 1]
}
return $outlist
}
# Always use the same random seed so that the sequence of tests
# is repeatable.
#
expr {srand(1234)}
# Run these tests for all number of dimensions between 1 and 5.
#
for {set nDim 1} {$nDim<=5} {incr nDim} {
# Construct an rtree virtual table and an ordinary btree table
# to mirror it. The ordinary table should be much slower (since
# it has to do a full table scan) but should give the exact same
# answers.
#
do_test rtree4-$nDim.1 {
set clist {}
set cklist {}
for {set i 0} {$i<$nDim} {incr i} {
lappend clist mn$i mx$i
lappend cklist "mn$i<mx$i"
}
db eval "DROP TABLE IF EXISTS rx"
db eval "DROP TABLE IF EXISTS bx"
db eval "CREATE VIRTUAL TABLE rx USING rtree(id, [join $clist ,])"
db eval "CREATE TABLE bx(id INTEGER PRIMARY KEY,\
[join $clist ,], CHECK( [join $cklist { AND }] ))"
} {}
# Do many insertions of small objects. Do both overlapping and
# contained-within queries after each insert to verify that all
# is well.
#
unset -nocomplain where
for {set i 1} {$i<$::NROW} {incr i} {
# Do a random insert
#
do_test rtree4-$nDim.2.$i.1 {
set vlist {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 50]}]
lappend vlist $mn $mx
}
db eval "INSERT INTO rx VALUES(NULL, [join $vlist ,])"
db eval "INSERT INTO bx VALUES(NULL, [join $vlist ,])"
} {}
# Do a contained-in query on all dimensions
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mn$j>=$mn mx$j<=$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.2 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query on all dimensions
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mx$j>=$mn mn$j<=$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.3 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do a contained-in query with surplus contraints at the beginning.
# This should force a full-table scan on the rtree.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
lappend where mn$j>-10000 mx$j<10000
}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mn$j>=$mn mx$j<=$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.3 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query with surplus contraints at the beginning.
# This should force a full-table scan on the rtree.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
lappend where mn$j>=-10000 mx$j<=10000
}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mx$j>$mn mn$j<$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.4 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do a contained-in query with surplus contraints at the end
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mn$j>=$mn mx$j<$mx
}
for {set j [expr {$nDim-1}]} {$j>=0} {incr j -1} {
lappend where mn$j>=-10000 mx$j<10000
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.5 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query with surplus contraints at the end
#
set where {}
for {set j [expr {$nDim-1}]} {$j>=0} {incr j -1} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mx$j>$mn mn$j<=$mx
}
for {set j 0} {$j<$nDim} {incr j} {
lappend where mx$j>-10000 mn$j<=10000
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.6 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do a contained-in query with surplus contraints where the
# constraints appear in a random order.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn1 [rand 10000]
set mn2 [expr {$mn1+[randincr 100]}]
set mx1 [expr {$mn2+[randincr 400]}]
set mx2 [expr {$mx1+[randincr 100]}]
lappend where mn$j>=$mn1 mn$j>$mn2 mx$j<$mx1 mx$j<=$mx2
}
set where "WHERE [join [scramble $where] { AND }]"
do_test rtree4-$nDim.2.$i.7 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query with surplus contraints where the
# constraints appear in a random order.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn1 [rand 10000]
set mn2 [expr {$mn1+[randincr 100]}]
set mx1 [expr {$mn2+[randincr 400]}]
set mx2 [expr {$mx1+[randincr 100]}]
lappend where mx$j>=$mn1 mx$j>$mn2 mn$j<$mx1 mn$j<=$mx2
}
set where "WHERE [join [scramble $where] { AND }]"
do_test rtree4-$nDim.2.$i.8 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
}
do_rtree_integrity_test rtree4-$nDim.3 rx
}
expand_all_sql db
finish_test
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# 2008 Jul 14
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing the r-tree extension when it is
# configured to store values as 32 bit integers.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree {
finish_test
return
}
do_test rtree5-1.0 {
execsql { CREATE VIRTUAL TABLE t1 USING rtree_i32(id, x1, x2, y1, y2) }
} {}
do_test rtree5-1.1 {
execsql { INSERT INTO t1 VALUES(1, 5, 10, 4, 11.2) }
} {}
do_test rtree5-1.2 {
execsql { SELECT * FROM t1 }
} {1 5 10 4 11}
do_test rtree5-1.3 {
execsql { SELECT typeof(x1) FROM t1 }
} {integer}
do_test rtree5-1.4 {
execsql { SELECT x1==5 FROM t1 }
} {1}
do_test rtree5-1.5 {
execsql { SELECT x1==5.2 FROM t1 }
} {0}
do_test rtree5-1.6 {
execsql { SELECT x1==5.0 FROM t1 }
} {1}
do_test rtree5-1.7 {
execsql { SELECT count(*) FROM t1 WHERE x1==5 }
} {1}
ifcapable !rtree_int_only {
do_test rtree5-1.8 {
execsql { SELECT count(*) FROM t1 WHERE x1==5.2 }
} {0}
}
do_test rtree5-1.9 {
execsql { SELECT count(*) FROM t1 WHERE x1==5.0 }
} {1}
do_test rtree5-1.10 {
execsql { SELECT (1<<31)-5, (1<<31)-1, -1*(1<<31), -1*(1<<31)+5 }
} {2147483643 2147483647 -2147483648 -2147483643}
do_test rtree5-1.11 {
execsql {
INSERT INTO t1 VALUES(2, (1<<31)-5, (1<<31)-1, -1*(1<<31), -1*(1<<31)+5)
}
} {}
do_test rtree5-1.12 {
execsql { SELECT * FROM t1 WHERE id=2 }
} {2 2147483643 2147483647 -2147483648 -2147483643}
do_test rtree5-1.13 {
execsql {
SELECT * FROM t1 WHERE
x1=2147483643 AND x2=2147483647 AND
y1=-2147483648 AND y2=-2147483643
}
} {2 2147483643 2147483647 -2147483648 -2147483643}
do_rtree_integrity_test rtree5-1.14 t1
expand_all_sql db
finish_test
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# 2008 Sep 1
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source $testdir/tester.tcl
set testprefix rtree6
ifcapable {!rtree || rtree_int_only} {
finish_test
return
}
# Operator Byte Value
# ----------------------
# = 0x41 ('A')
# <= 0x42 ('B')
# < 0x43 ('C')
# >= 0x44 ('D')
# > 0x45 ('E')
# ----------------------
proc rtree_strategy {sql} {
set ret [list]
db eval "explain $sql" a {
if {$a(opcode) eq "VFilter"} {
lappend ret $a(p4)
}
}
set ret
}
proc query_plan {sql} {
set ret [list]
db eval "explain query plan $sql" a {
lappend ret $a(detail)
}
set ret
}
do_test rtree6-1.1 {
execsql {
CREATE TABLE t2(k INTEGER PRIMARY KEY, v);
CREATE VIRTUAL TABLE t1 USING rtree(ii, x1, x2, y1, y2);
}
} {}
do_test rtree6-1.2 {
rtree_strategy {SELECT * FROM t1 WHERE x1>10}
} {E0}
do_test rtree6-1.2.1 {
rtree_strategy {SELECT * FROM t1 WHERE x1>10 AND x2 LIKE '%x%'}
} {E0}
do_test rtree6-1.3 {
rtree_strategy {SELECT * FROM t1 WHERE x1<10}
} {C0}
do_test rtree6-1.4 {
rtree_strategy {SELECT * FROM t1,t2 WHERE k=ii AND x1<10}
} {C0}
do_test rtree6-1.5 {
rtree_strategy {SELECT * FROM t1,t2 WHERE k=+ii AND x1<10}
} {C0}
do_eqp_test rtree6.2.1 {
SELECT * FROM t1,t2 WHERE k=+ii AND x1<10
} {
QUERY PLAN
|--SCAN t1 VIRTUAL TABLE INDEX 2:C0
`--SEARCH t2 USING INTEGER PRIMARY KEY (rowid=?)
}
do_eqp_test rtree6.2.2 {
SELECT * FROM t1,t2 WHERE k=ii AND x1<10
} {
QUERY PLAN
|--SCAN t1 VIRTUAL TABLE INDEX 2:C0
`--SEARCH t2 USING INTEGER PRIMARY KEY (rowid=?)
}
do_eqp_test rtree6.2.3 {
SELECT * FROM t1,t2 WHERE k=ii
} {
QUERY PLAN
|--SCAN t1 VIRTUAL TABLE INDEX 2:
`--SEARCH t2 USING INTEGER PRIMARY KEY (rowid=?)
}
do_eqp_test rtree6.2.4.1 {
SELECT * FROM t1,t2 WHERE v=+ii and x1<10 and x2>10
} {
QUERY PLAN
|--SCAN t1 VIRTUAL TABLE INDEX 2:C0E1
|--BLOOM FILTER ON t2 (v=?)
`--SEARCH t2 USING AUTOMATIC COVERING INDEX (v=?)
}
do_eqp_test rtree6.2.4.2 {
SELECT * FROM t1,t2 WHERE v=10 and x1<10 and x2>10
} {
QUERY PLAN
|--SCAN t1 VIRTUAL TABLE INDEX 2:C0E1
|--BLOOM FILTER ON t2 (v=?)
`--SEARCH t2 USING AUTOMATIC PARTIAL COVERING INDEX (v=?)
}
do_eqp_test rtree6.2.5 {
SELECT * FROM t1,t2 WHERE k=ii AND x1<v
} {
QUERY PLAN
|--SCAN t1 VIRTUAL TABLE INDEX 2:
`--SEARCH t2 USING INTEGER PRIMARY KEY (rowid=?)
}
do_execsql_test rtree6-3.1 {
CREATE VIRTUAL TABLE t3 USING rtree(id, x1, x2, y1, y2);
INSERT INTO t3 VALUES(NULL, 1, 1, 2, 2);
SELECT * FROM t3 WHERE
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5;
} {1 1.0 1.0 2.0 2.0}
do_test rtree6.3.2 {
rtree_strategy {
SELECT * FROM t3 WHERE
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5
}
} {E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0}
do_test rtree6.3.3 {
rtree_strategy {
SELECT * FROM t3 WHERE
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5
}
} {E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0E0}
do_execsql_test rtree6-3.4 {
SELECT * FROM t3 WHERE x1>0.5 AND x1>0.8 AND x1>1.1
} {}
do_execsql_test rtree6-3.5 {
SELECT * FROM t3 WHERE
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND
x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>0.5 AND x1>1.1
} {}
#-------------------------------------------------------------------------
reset_db
do_execsql_test 4.0 {
CREATE VIRTUAL TABLE t1 USING rtree(id,x0,x1,y0,y1);
}
do_execsql_test 4.1 {
DELETE FROM t1 WHERE x0>1 AND x1<2 OR y0<92;
}
expand_all_sql db
finish_test
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# 2010 February 16
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# Test that nothing goes wrong if an rtree table is created, then the
# database page-size is modified. At one point (3.6.22), this was causing
# malfunctions.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree||!vacuum {
finish_test
return
}
# Like execsql except display output as integer where that can be
# done without loss of information.
#
proc execsql_intout {sql} {
set out {}
foreach term [execsql $sql] {
regsub {\.0$} $term {} term
lappend out $term
}
return $out
}
do_test rtree7-1.1 {
execsql {
PRAGMA page_size = 1024;
CREATE VIRTUAL TABLE rt USING rtree(id, x1, x2, y1, y2);
INSERT INTO rt VALUES(1, 1, 2, 3, 4);
}
} {}
do_test rtree7-1.2 {
execsql_intout { SELECT * FROM rt }
} {1 1 2 3 4}
do_test rtree7-1.3 {
execsql_intout {
PRAGMA page_size = 2048;
VACUUM;
SELECT * FROM rt;
}
} {1 1 2 3 4}
do_test rtree7-1.4 {
for {set i 2} {$i <= 51} {incr i} {
execsql { INSERT INTO rt VALUES($i, 1, 2, 3, 4) }
}
execsql_intout { SELECT sum(x1), sum(x2), sum(y1), sum(y2) FROM rt }
} {51 102 153 204}
do_test rtree7-1.5 {
execsql_intout {
PRAGMA page_size = 512;
VACUUM;
SELECT sum(x1), sum(x2), sum(y1), sum(y2) FROM rt
}
} {51 102 153 204}
do_rtree_integrity_test rtree7-1.6 rt
finish_test
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# 2010 February 16
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
#-------------------------------------------------------------------------
# The following block of tests - rtree8-1.* - feature reading and writing
# an r-tree table while there exist open cursors on it.
#
proc populate_t1 {n} {
execsql { DELETE FROM t1 }
for {set i 1} {$i <= $n} {incr i} {
execsql { INSERT INTO t1 VALUES($i, $i, $i+2) }
}
}
# A DELETE while a cursor is reading the table.
#
do_test rtree8-1.1.1 {
execsql { PRAGMA page_size = 512 }
execsql { CREATE VIRTUAL TABLE t1 USING rtree_i32(id, x1, x2) }
populate_t1 5
} {}
do_test rtree8-1.1.2 {
set res [list]
set rc [catch {
db eval { SELECT * FROM t1 } {
lappend res $x1 $x2
if {$id==3} { db eval { DELETE FROM t1 WHERE id>3 } }
}
} msg];
lappend rc $msg
set rc
} {1 {database table is locked}}
do_test rtree8-1.1.2b {
db eval { SELECT * FROM t1 ORDER BY +id } {
if {$id==3} { db eval { DELETE FROM t1 WHERE id>3 } }
}
db eval {SELECT x1, x2 FROM t1}
} {1 3 2 4 3 5}
do_test rtree8-1.1.3 {
execsql { SELECT * FROM t1 }
} {1 1 3 2 2 4 3 3 5}
# Many SELECTs on the same small table.
#
proc nested_select {n} {
set ::max $n
db eval { SELECT * FROM t1 } {
if {$id == $n} { nested_select [expr $n+1] }
}
return $::max
}
do_test rtree8-1.2.1 { populate_t1 50 } {}
do_test rtree8-1.2.2 { nested_select 1 } {51}
# This test runs many SELECT queries simultaneously against a large
# table, causing a collision in the hash-table used to store r-tree
# nodes internally.
#
populate_t1 1500
do_rtree_integrity_test rtree8-1.3.0 t1
do_execsql_test rtree8-1.3.1 { SELECT max(nodeno) FROM t1_node } {183}
do_test rtree8-1.3.2 {
set rowids [execsql {SELECT min(rowid) FROM t1_rowid GROUP BY nodeno}]
set stmt_list [list]
foreach row $rowids {
set stmt [sqlite3_prepare db "SELECT * FROM t1 WHERE id = $row" -1 tail]
sqlite3_step $stmt
lappend res_list [sqlite3_column_int $stmt 0]
lappend stmt_list $stmt
}
} {}
do_test rtree8-1.3.3 { set res_list } $rowids
do_execsql_test rtree8-1.3.4 { SELECT count(*) FROM t1 } {1500}
do_test rtree8-1.3.5 {
foreach stmt $stmt_list { sqlite3_finalize $stmt }
} {}
#-------------------------------------------------------------------------
# The following block of tests - rtree8-2.* - test a couple of database
# corruption cases. In this case things are not corrupted at the b-tree
# level, but the contents of the various tables used internally by an
# r-tree table are inconsistent.
#
populate_t1 50
do_execsql_test rtree8-2.1.1 { SELECT max(nodeno) FROM t1_node } {5}
sqlite3_db_config db DEFENSIVE 0
do_execsql_test rtree8-2.1.2 { DELETE FROM t1_node } {}
for {set i 1} {$i <= 50} {incr i} {
do_catchsql_test rtree8-2.1.3.$i {
SELECT * FROM t1 WHERE id = $i
} {1 {database disk image is malformed}}
}
do_catchsql_test rtree8-2.1.4 {
SELECT * FROM t1
} {1 {database disk image is malformed}}
do_catchsql_test rtree8-2.1.5 {
DELETE FROM t1
} {1 {database disk image is malformed}}
do_execsql_test rtree8-2.1.6 {
DROP TABLE t1;
CREATE VIRTUAL TABLE t1 USING rtree_i32(id, x1, x2);
} {}
populate_t1 50
sqlite3_db_config db DEFENSIVE 0
do_execsql_test rtree8-2.2.1 {
DELETE FROM t1_parent
} {}
do_catchsql_test rtree8-2.2.2 {
DELETE FROM t1 WHERE id=25
} {1 {database disk image is malformed}}
do_execsql_test rtree8-2.2.3 {
DROP TABLE t1;
CREATE VIRTUAL TABLE t1 USING rtree_i32(id, x1, x2);
} {}
#-------------------------------------------------------------------------
# Test that trying to use the MATCH operator with the r-tree module does
# not confuse it.
#
populate_t1 10
do_catchsql_test rtree8-3.1 {
SELECT * FROM t1 WHERE x1 MATCH '1234'
} {1 {SQL logic error}}
#-------------------------------------------------------------------------
# Test a couple of invalid arguments to rtreedepth().
#
do_catchsql_test rtree8-4.1 {
SELECT rtreedepth('hello world')
} {1 {Invalid argument to rtreedepth()}}
do_catchsql_test rtree8-4.2 {
SELECT rtreedepth(X'00')
} {1 {Invalid argument to rtreedepth()}}
#-------------------------------------------------------------------------
# Delete half of a lopsided tree.
#
do_execsql_test rtree8-5.1 {
CREATE VIRTUAL TABLE t2 USING rtree_i32(id, x1, x2)
} {}
do_test rtree8-5.2 {
execsql BEGIN
for {set i 0} {$i < 100} {incr i} {
execsql { INSERT INTO t2 VALUES($i, 100, 101) }
}
for {set i 100} {$i < 200} {incr i} {
execsql { INSERT INTO t2 VALUES($i, 1000, 1001) }
}
execsql COMMIT
} {}
do_rtree_integrity_test rtree8-5.3 t2
do_test rtree8-5.4 {
execsql BEGIN
for {set i 0} {$i < 200} {incr i} {
execsql { DELETE FROM t2 WHERE id = $i }
}
execsql COMMIT
} {}
do_rtree_integrity_test rtree8-5.5 t2
# 2018-05-24
# The following script caused an assertion fault and/or segfault
# prior to the fix that prevents simultaneous reads and writes on
# the same rtree virtual table.
#
do_test rtree8-6.1 {
db close
sqlite3 db :memory:
db eval {
PRAGMA page_size=512;
CREATE VIRTUAL TABLE t1 USING rtree(id,x1,x2,y1,y2);
WITH RECURSIVE c(x) AS (VALUES(0) UNION ALL SELECT x+1 FROM c WHERE x<49)
INSERT INTO t1 SELECT x, x, x+1, x, x+1 FROM c;
}
set rc [catch {
db eval {SELECT id FROM t1} x {
db eval {DELETE FROM t1 WHERE id=$x(id)}
}
} msg]
lappend rc $msg
} {1 {database table is locked}}
finish_test
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# 2010 August 28
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# This file contains tests for the r-tree module. Specifically, it tests
# that custom r-tree queries (geometry callbacks) work.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
ifcapable rtree_int_only { finish_test; return }
register_cube_geom db
do_execsql_test rtree9-1.1 {
CREATE VIRTUAL TABLE rt USING rtree(id, x1, x2, y1, y2, z1, z2);
INSERT INTO rt VALUES(1, 1, 2, 1, 2, 1, 2);
} {}
do_execsql_test rtree9-1.2 {
SELECT * FROM rt WHERE id MATCH cube(0, 0, 0, 2, 2, 2);
} {1 1.0 2.0 1.0 2.0 1.0 2.0}
do_execsql_test rtree9-1.3 {
SELECT * FROM rt WHERE id MATCH cube(3, 3, 3, 2, 2, 2);
} {}
do_execsql_test rtree9-1.4 {
DELETE FROM rt;
} {}
unset -nocomplain x
for {set i 0} {$i < 1000} {incr i} {
set x [expr $i%10]
set y [expr ($i/10)%10]
set z [expr ($i/100)%10]
execsql { INSERT INTO rt VALUES($i, $x, $x+1, $y, $y+1, $z, $z+1) }
}
do_rtree_integrity_test rtree9-2.0 rt
do_execsql_test rtree9-2.1 {
SELECT id FROM rt WHERE id MATCH cube(2.5, 2.5, 2.5, 1, 1, 1) ORDER BY id;
} {222 223 232 233 322 323 332 333}
do_execsql_test rtree9-2.2 {
SELECT id FROM rt WHERE id MATCH cube(5.5, 5.5, 5.5, 1, 1, 1) ORDER BY id;
} {555 556 565 566 655 656 665 666}
do_execsql_test rtree9-3.0 {
CREATE VIRTUAL TABLE rt32 USING rtree_i32(id, x1, x2, y1, y2, z1, z2);
} {}
for {set i 0} {$i < 1000} {incr i} {
set x [expr $i%10]
set y [expr ($i/10)%10]
set z [expr ($i/100)%10]
execsql { INSERT INTO rt32 VALUES($i, $x, $x+1, $y, $y+1, $z, $z+1) }
}
do_rtree_integrity_test rtree9-3.1 rt32
do_execsql_test rtree9-3.2 {
SELECT id FROM rt32 WHERE id MATCH cube(3, 3, 3, 1, 1, 1) ORDER BY id;
} {222 223 224 232 233 234 242 243 244 322 323 324 332 333 334 342 343 344 422 423 424 432 433 434 442 443 444}
do_execsql_test rtree9-3.3 {
SELECT id FROM rt32 WHERE id MATCH cube(5.5, 5.5, 5.5, 1, 1, 1) ORDER BY id;
} {555 556 565 566 655 656 665 666}
do_catchsql_test rtree9-4.1 {
SELECT id FROM rt32 WHERE id MATCH cube(5.5, 5.5, 1, 1, 1) ORDER BY id;
} {1 {SQL logic error}}
for {set x 2} {$x<200} {incr x 2} {
do_catchsql_test rtree9-4.2.[expr $x/2] {
SELECT id FROM rt WHERE id MATCH randomblob($x)
} {1 {SQL logic error}}
}
do_catchsql_test rtree9-4.3 {
SELECT id FROM rt WHERE id MATCH CAST(
(cube(5.5, 5.5, 5.5, 1, 1, 1) || X'1234567812345678') AS blob
)
} {1 {SQL logic error}}
#-------------------------------------------------------------------------
# Test the example 2d "circle" geometry callback.
#
register_circle_geom db
do_execsql_test rtree9-5.1 {
CREATE VIRTUAL TABLE rt2 USING rtree(id, xmin, xmax, ymin, ymax);
INSERT INTO rt2 VALUES(1, 1, 2, 1, 2);
INSERT INTO rt2 VALUES(2, 1, 2, -2, -1);
INSERT INTO rt2 VALUES(3, -2, -1, -2, -1);
INSERT INTO rt2 VALUES(4, -2, -1, 1, 2);
INSERT INTO rt2 VALUES(5, 2, 3, 2, 3);
INSERT INTO rt2 VALUES(6, 2, 3, -3, -2);
INSERT INTO rt2 VALUES(7, -3, -2, -3, -2);
INSERT INTO rt2 VALUES(8, -3, -2, 2, 3);
INSERT INTO rt2 VALUES(9, 1.8, 3, 1.8, 3);
INSERT INTO rt2 VALUES(10, 1.8, 3, -3, -1.8);
INSERT INTO rt2 VALUES(11, -3, -1.8, -3, -1.8);
INSERT INTO rt2 VALUES(12, -3, -1.8, 1.8, 3);
INSERT INTO rt2 VALUES(13, -15, 15, 1.8, 2.2);
INSERT INTO rt2 VALUES(14, -15, 15, -2.2, -1.8);
INSERT INTO rt2 VALUES(15, 1.8, 2.2, -15, 15);
INSERT INTO rt2 VALUES(16, -2.2, -1.8, -15, 15);
INSERT INTO rt2 VALUES(17, -100, 100, -100, 100);
} {}
do_execsql_test rtree9-5.2 {
SELECT id FROM rt2 WHERE id MATCH circle(0.0, 0.0, 2.0);
} {1 2 3 4 13 14 15 16 17}
do_execsql_test rtree9-5.3 {
UPDATE rt2 SET xmin=xmin+5, ymin=ymin+5, xmax=xmax+5, ymax=ymax+5;
SELECT id FROM rt2 WHERE id MATCH circle(5.0, 5.0, 2.0);
} {1 2 3 4 13 14 15 16 17}
do_rtree_integrity_test rtree9-5.4 rt2
finish_test
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# 2010 September 22
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# This file contains tests for the r-tree module. Specifically, it tests
# that corrupt or inconsistent databases do not cause crashes in the r-tree
# module.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
proc create_t1 {} {
db close
forcedelete test.db
sqlite3 db test.db
execsql {
PRAGMA page_size = 1024;
CREATE VIRTUAL TABLE t1 USING rtree(id, x1, x2, y1, y2);
}
}
proc populate_t1 {} {
execsql BEGIN
for {set i 0} {$i < 500} {incr i} {
set x2 [expr $i+5]
set y2 [expr $i+5]
execsql { INSERT INTO t1 VALUES($i, $i, $x2, $i, $y2) }
}
execsql COMMIT
sqlite3_db_config db DEFENSIVE 0
}
proc truncate_node {nodeno nTrunc} {
set blob [db one {SELECT data FROM t1_node WHERE nodeno=$nodeno}]
if {$nTrunc<0} {set nTrunc "end-$nTrunc"}
set blob [string range $blob 0 $nTrunc]
db eval { UPDATE t1_node SET data = $blob WHERE nodeno=$nodeno }
}
proc set_tree_depth {tbl {newvalue ""}} {
set blob [db one "SELECT data FROM ${tbl}_node WHERE nodeno=1"]
if {$newvalue == ""} {
binary scan $blob Su oldvalue
return $oldvalue
}
set blob [binary format Sua* $newvalue [string range $blob 2 end]]
db eval "UPDATE ${tbl}_node SET data = \$blob WHERE nodeno=1"
return [set_tree_depth $tbl]
}
proc set_entry_count {tbl nodeno {newvalue ""}} {
set blob [db one "SELECT data FROM ${tbl}_node WHERE nodeno=$nodeno"]
if {$newvalue == ""} {
binary scan [string range $blob 2 end] Su oldvalue
return $oldvalue
}
set blob [binary format a*Sua* \
[string range $blob 0 1] $newvalue [string range $blob 4 end]
]
db eval "UPDATE ${tbl}_node SET data = \$blob WHERE nodeno=$nodeno"
return [set_entry_count $tbl $nodeno]
}
proc do_corruption_tests {prefix args} {
set testarray [lindex $args end]
set errormsg {database disk image is malformed}
foreach {z value} [lrange $args 0 end-1] {
set n [string length $z]
if {$n>=2 && [string equal -length $n $z "-error"]} {
set errormsg $value
}
}
foreach {tn sql} $testarray {
do_catchsql_test $prefix.$tn $sql [list 1 $errormsg]
}
}
#-------------------------------------------------------------------------
# Test the libraries response if the %_node table is completely empty
# (i.e. the root node is missing), or has been removed from the database
# entirely.
#
create_t1
populate_t1
do_execsql_test rtreeA-1.0 {
DELETE FROM t1_node;
} {}
do_corruption_tests rtreeA-1.1 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
4 "SELECT * FROM t1 WHERE x1<10 AND x2>12"
}
do_execsql_test rtreeA-1.1.1 {
SELECT rtreecheck('main', 't1')
} {{Node 1 missing from database
Wrong number of entries in %_rowid table - expected 0, actual 500
Wrong number of entries in %_parent table - expected 0, actual 25}}
do_execsql_test rtreeA-1.2.0 { DROP TABLE t1_node } {}
do_corruption_tests rtreeA-1.2 -error "database disk image is malformed" {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
4 "SELECT * FROM t1 WHERE x1<10 AND x2>12"
}
#-------------------------------------------------------------------------
# Test the libraries response if some of the entries in the %_node table
# are the wrong size.
#
create_t1
populate_t1
do_test rtreeA-2.1.0 {
set nodes [db eval {select nodeno FROM t1_node}]
foreach {a b c} $nodes { truncate_node $c 200 }
} {}
do_corruption_tests rtreeA-2.1 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
4 "SELECT * FROM t1 WHERE x1<10 AND x2>12"
}
create_t1
populate_t1
do_test rtreeA-2.2.0 { truncate_node 1 200 } {}
do_corruption_tests rtreeA-2.2 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE +rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
4 "SELECT * FROM t1 WHERE x1<10 AND x2>12"
}
#-------------------------------------------------------------------------
# Set the "depth" of the tree stored on the root node incorrectly. Test
# that this does not cause any problems.
#
create_t1
populate_t1
do_test rtreeA-3.1.0.1 { set_tree_depth t1 } {1}
do_test rtreeA-3.1.0.2 { set_tree_depth t1 3 } {3}
do_corruption_tests rtreeA-3.1 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE +rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
}
do_execsql_test rtreeA-3.1.0.3 {
SELECT rtreecheck('main', 't1')!='ok'
} {1}
do_test rtreeA-3.2.0 { set_tree_depth t1 1000 } {1000}
do_corruption_tests rtreeA-3.2 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE +rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
}
create_t1
populate_t1
do_test rtreeA-3.3.0 {
execsql { DELETE FROM t1 WHERE rowid = 0 }
set_tree_depth t1 65535
} {65535}
do_corruption_tests rtreeA-3.3 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE +rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
}
do_execsql_test rtreeA-3.3.3.4 {
SELECT rtreecheck('main', 't1')
} {{Rtree depth out of range (65535)
Wrong number of entries in %_rowid table - expected 0, actual 499
Wrong number of entries in %_parent table - expected 0, actual 25}}
#-------------------------------------------------------------------------
# Set the "number of entries" field on some nodes incorrectly.
#
create_t1
populate_t1
do_test rtreeA-4.1.0 {
set_entry_count t1 1 4000
} {4000}
do_corruption_tests rtreeA-4.1 {
1 "SELECT * FROM t1"
2 "SELECT * FROM t1 WHERE +rowid=5"
3 "INSERT INTO t1 VALUES(1000, 1, 2, 3, 4)"
4 "SELECT * FROM t1 WHERE x1<10 AND x2>12"
}
#-------------------------------------------------------------------------
# Remove entries from the %_parent table and check that this does not
# cause a crash.
#
create_t1
populate_t1
do_execsql_test rtreeA-5.1.0 { DELETE FROM t1_parent } {}
do_corruption_tests rtreeA-5.1 {
1 "DELETE FROM t1 WHERE +rowid = 5"
2 "DELETE FROM t1"
}
do_execsql_test rtreeA-5.2 {
SELECT rtreecheck('main', 't1')!='ok'
} {1}
#-------------------------------------------------------------------------
# Add some bad entries to the %_parent table.
#
create_t1
populate_t1
do_execsql_test rtreeA-6.1.0 {
UPDATE t1_parent set parentnode = parentnode+1
} {}
do_corruption_tests rtreeA-6.1 {
1 "DELETE FROM t1 WHERE rowid = 5"
2 "UPDATE t1 SET x1=x1+1, x2=x2+1"
}
do_execsql_test rtreeA-6.2 {
SELECT rtreecheck('main', 't1')!='ok'
} {1}
#-------------------------------------------------------------------------
# Truncated blobs in the _node table.
#
create_t1
populate_t1
sqlite3 db test.db
sqlite3_db_config db DEFENSIVE 0
do_execsql_test rtreeA-7.100 {
UPDATE t1_node SET data=x'' WHERE rowid=1;
} {}
do_catchsql_test rtreeA-7.110 {
SELECT * FROM t1 WHERE x1>0 AND x1<100 AND x2>0 AND x2<100;
} {1 {undersize RTree blobs in "t1_node"}}
do_test rtreeA-7.120 {
sqlite3_extended_errcode db
} {SQLITE_CORRUPT_VTAB}
finish_test
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# 2011 March 2
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# Make sure the rtreenode() testing function can handle entries with
# 64-bit rowids.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
ifcapable rtree_int_only {
do_test rtreeB-1.1-intonly {
db eval {
CREATE VIRTUAL TABLE t1 USING rtree(ii, x0, y0, x1, y1);
INSERT INTO t1 VALUES(1073741824, 0.0, 0.0, 100.0, 100.0);
INSERT INTO t1 VALUES(2147483646, 0.0, 0.0, 200.0, 200.0);
INSERT INTO t1 VALUES(4294967296, 0.0, 0.0, 300.0, 300.0);
INSERT INTO t1 VALUES(8589934592, 20.0, 20.0, 150.0, 150.0);
INSERT INTO t1 VALUES(9223372036854775807, 150, 150, 400, 400);
SELECT rtreenode(2, data) FROM t1_node;
}
} {{{1073741824 0 0 100 100} {2147483646 0 0 200 200} {4294967296 0 0 300 300} {8589934592 20 20 150 150} {9223372036854775807 150 150 400 400}}}
} else {
do_test rtreeB-1.1 {
db eval {
CREATE VIRTUAL TABLE t1 USING rtree(ii, x0, y0, x1, y1);
INSERT INTO t1 VALUES(1073741824, 0.0, 0.0, 100.0, 100.0);
INSERT INTO t1 VALUES(2147483646, 0.0, 0.0, 200.0, 200.0);
INSERT INTO t1 VALUES(4294967296, 0.0, 0.0, 300.0, 300.0);
INSERT INTO t1 VALUES(8589934592, 20.0, 20.0, 150.0, 150.0);
INSERT INTO t1 VALUES(9223372036854775807, 150, 150, 400, 400);
SELECT rtreenode(2, data) FROM t1_node;
}
} {{{1073741824 0 0 100 100} {2147483646 0 0 200 200} {4294967296 0 0 300 300} {8589934592 20 20 150 150} {9223372036854775807 150 150 400 400}}}
}
do_rtree_integrity_test rtreeB-1.2 t1
finish_test
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# 2011 March 2
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# Make sure the rtreenode() testing function can handle entries with
# 64-bit rowids.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
set testprefix rtreeC
do_execsql_test 1.0 {
CREATE VIRTUAL TABLE r_tree USING rtree(id, min_x, max_x, min_y, max_y);
CREATE TABLE t(x, y);
}
do_eqp_test 1.1 {
SELECT * FROM r_tree, t
WHERE t.x>=min_x AND t.x<=max_x AND t.y>=min_y AND t.x<=max_y
} {
QUERY PLAN
|--SCAN t
`--SCAN r_tree VIRTUAL TABLE INDEX 2:D3B2D1B0
}
do_eqp_test 1.2 {
SELECT * FROM t, r_tree
WHERE t.x>=min_x AND t.x<=max_x AND t.y>=min_y AND t.x<=max_y
} {
QUERY PLAN
|--SCAN t
`--SCAN r_tree VIRTUAL TABLE INDEX 2:D3B2D1B0
}
do_eqp_test 1.3 {
SELECT * FROM t, r_tree
WHERE t.x>=min_x AND t.x<=max_x AND t.y>=min_y AND ?<=max_y
} {
QUERY PLAN
|--SCAN t
`--SCAN r_tree VIRTUAL TABLE INDEX 2:D3B2D1B0
}
do_eqp_test 1.5 {
SELECT * FROM t, r_tree
} {
QUERY PLAN
|--SCAN r_tree VIRTUAL TABLE INDEX 2:
`--SCAN t
}
do_execsql_test 2.0 {
INSERT INTO t VALUES(0, 0);
INSERT INTO t VALUES(0, 1);
INSERT INTO t VALUES(0, 2);
INSERT INTO t VALUES(0, 3);
INSERT INTO t VALUES(0, 4);
INSERT INTO t VALUES(0, 5);
INSERT INTO t VALUES(0, 6);
INSERT INTO t VALUES(0, 7);
INSERT INTO t VALUES(0, 8);
INSERT INTO t VALUES(0, 9);
INSERT INTO t SELECT x+1, y FROM t;
INSERT INTO t SELECT x+2, y FROM t;
INSERT INTO t SELECT x+4, y FROM t;
INSERT INTO r_tree SELECT NULL, x-1, x+1, y-1, y+1 FROM t;
ANALYZE;
}
db close
sqlite3 db test.db
do_eqp_test 2.1 {
SELECT * FROM r_tree, t
WHERE t.x>=min_x AND t.x<=max_x AND t.y>=min_y AND t.x<=max_y
} {
QUERY PLAN
|--SCAN t
`--SCAN r_tree VIRTUAL TABLE INDEX 2:D3B2D1B0
}
do_eqp_test 2.2 {
SELECT * FROM t, r_tree
WHERE t.x>=min_x AND t.x<=max_x AND t.y>=min_y AND t.x<=max_y
} {
QUERY PLAN
|--SCAN t
`--SCAN r_tree VIRTUAL TABLE INDEX 2:D3B2D1B0
}
do_eqp_test 2.3 {
SELECT * FROM t, r_tree
WHERE t.x>=min_x AND t.x<=max_x AND t.y>=min_y AND ?<=max_y
} {
QUERY PLAN
|--SCAN t
`--SCAN r_tree VIRTUAL TABLE INDEX 2:D3B2D1B0
}
do_eqp_test 2.5 {
SELECT * FROM t, r_tree
} {
QUERY PLAN
|--SCAN r_tree VIRTUAL TABLE INDEX 2:
`--SCAN t
}
#-------------------------------------------------------------------------
# Test that the special CROSS JOIN handling works with rtree tables.
#
do_execsql_test 3.1 {
CREATE TABLE t1(x);
CREATE TABLE t2(y);
CREATE VIRTUAL TABLE t3 USING rtree(z, x1,x2, y1,y2);
}
do_eqp_test 3.2.1 { SELECT * FROM t1 CROSS JOIN t2 } {
QUERY PLAN
|--SCAN t1
`--SCAN t2
}
do_eqp_test 3.2.2 { SELECT * FROM t2 CROSS JOIN t1 } {
QUERY PLAN
|--SCAN t2
`--SCAN t1
}
do_eqp_test 3.3.1 { SELECT * FROM t1 CROSS JOIN t3 } {
QUERY PLAN
|--SCAN t1
`--SCAN t3 VIRTUAL TABLE INDEX 2:
}
do_eqp_test 3.3.2 { SELECT * FROM t3 CROSS JOIN t1 } {
QUERY PLAN
|--SCAN t3 VIRTUAL TABLE INDEX 2:
`--SCAN t1
}
#--------------------------------------------------------------------
# Test that LEFT JOINs are not reordered if the right-hand-side is
# a virtual table.
#
reset_db
do_execsql_test 4.1 {
CREATE TABLE t1(a);
CREATE VIRTUAL TABLE t2 USING rtree(b, x1,x2);
INSERT INTO t1 VALUES(1);
INSERT INTO t1 VALUES(2);
INSERT INTO t2 VALUES(1, 0.0, 0.1);
INSERT INTO t2 VALUES(3, 0.0, 0.1);
}
do_execsql_test 4.2 {
SELECT a, b FROM t1 LEFT JOIN t2 ON (+a = +b);
} {1 1 2 {}}
do_execsql_test 4.3 {
SELECT b, a FROM t2 LEFT JOIN t1 ON (+a = +b);
} {1 1 3 {}}
#--------------------------------------------------------------------
# Test that the sqlite_stat1 data is used correctly.
#
reset_db
do_execsql_test 5.1 {
CREATE TABLE t1(x INT PRIMARY KEY, y);
CREATE VIRTUAL TABLE rt USING rtree(id, x1, x2, +d1);
INSERT INTO t1(x) VALUES(1);
INSERT INTO t1(x) SELECT x+1 FROM t1; -- 2
INSERT INTO t1(x) SELECT x+2 FROM t1; -- 4
INSERT INTO t1(x) SELECT x+4 FROM t1; -- 8
INSERT INTO t1(x) SELECT x+8 FROM t1; -- 16
INSERT INTO t1(x) SELECT x+16 FROM t1; -- 32
INSERT INTO t1(x) SELECT x+32 FROM t1; -- 64
INSERT INTO t1(x) SELECT x+64 FROM t1; -- 128
INSERT INTO t1(x) SELECT x+128 FROM t1; -- 256
INSERT INTO t1(x) SELECT x+256 FROM t1; -- 512
INSERT INTO t1(x) SELECT x+512 FROM t1; --1024
INSERT INTO rt SELECT x, x, x+1, printf('x%04xy',x) FROM t1 WHERE x<=5;
}
do_rtree_integrity_test 5.1.1 rt
# First test a query with no ANALYZE data at all. The outer loop is
# real table "t1".
#
do_eqp_test 5.2 {
SELECT * FROM t1, rt WHERE x==id;
} {
QUERY PLAN
|--SCAN t1
`--SCAN rt VIRTUAL TABLE INDEX 1:
}
# Now create enough ANALYZE data to tell SQLite that virtual table "rt"
# contains very few rows. This causes it to move "rt" to the outer loop.
#
do_execsql_test 5.3 {
ANALYZE;
DELETE FROM sqlite_stat1 WHERE tbl='t1';
}
db close
sqlite3 db test.db
do_eqp_test 5.4 {
SELECT * FROM t1, rt WHERE x==id;
} {
QUERY PLAN
|--SCAN rt VIRTUAL TABLE INDEX 2:
`--SEARCH t1 USING INDEX sqlite_autoindex_t1_1 (x=?)
}
# Delete the ANALYZE data. "t1" should be the outer loop again.
#
do_execsql_test 5.5 { DROP TABLE sqlite_stat1; }
db close
sqlite3 db test.db
do_eqp_test 5.6 {
SELECT * FROM t1, rt WHERE x==id;
} {
QUERY PLAN
|--SCAN t1
`--SCAN rt VIRTUAL TABLE INDEX 1:
}
# This time create and attach a database that contains ANALYZE data for
# tables of the same names as those used internally by virtual table
# "rt". Check that the rtree module is not fooled into using this data.
# Table "t1" should remain the outer loop.
#
do_test 5.7 {
db backup test.db2
sqlite3 db2 test.db2
db2 eval {
ANALYZE;
DELETE FROM sqlite_stat1 WHERE tbl='t1';
}
db2 close
db close
sqlite3 db test.db
execsql { ATTACH 'test.db2' AS aux; }
} {}
do_eqp_test 5.8 {
SELECT * FROM t1, rt WHERE x==id;
} {
QUERY PLAN
|--SCAN t1
`--SCAN rt VIRTUAL TABLE INDEX 1:
}
#--------------------------------------------------------------------
# Test that having a second connection drop the sqlite_stat1 table
# before it is required by rtreeConnect() does not cause problems.
#
ifcapable rtree {
reset_db
do_execsql_test 6.1 {
CREATE TABLE t1(x);
CREATE VIRTUAL TABLE rt USING rtree(id, x1, x2);
INSERT INTO t1 VALUES(1);
INSERT INTO rt VALUES(1,2,3);
ANALYZE;
}
db close
sqlite3 db test.db
do_execsql_test 6.2 { SELECT * FROM t1 } {1}
do_test 6.3 {
sqlite3 db2 test.db
db2 eval { DROP TABLE sqlite_stat1 }
db2 close
execsql { SELECT * FROM rt }
} {1 2.0 3.0}
db close
}
#--------------------------------------------------------------------
# Test that queries featuring LEFT or CROSS JOINS are handled correctly.
# Handled correctly in this case means:
#
# * Terms with prereqs that appear to the left of a LEFT JOIN against
# the virtual table are always available to xBestIndex.
#
# * Terms with prereqs that appear to the right of a LEFT JOIN against
# the virtual table are never available to xBestIndex.
#
# And the same behaviour for CROSS joins.
#
reset_db
do_execsql_test 7.0 {
CREATE TABLE xdir(x1);
CREATE TABLE ydir(y1);
CREATE VIRTUAL TABLE rt USING rtree_i32(id, xmin, xmax, ymin, ymax);
INSERT INTO xdir VALUES(5);
INSERT INTO ydir VALUES(10);
INSERT INTO rt VALUES(1, 2, 7, 12, 14); -- Not a hit
INSERT INTO rt VALUES(2, 2, 7, 8, 12); -- A hit!
INSERT INTO rt VALUES(3, 7, 11, 8, 12); -- Not a hit!
INSERT INTO rt VALUES(4, 5, 5, 10, 10); -- A hit!
}
proc do_eqp_execsql_test {tn sql res1 res2} {
do_eqp_test $tn.1 $sql $res1
do_execsql_test $tn.2 $sql $res2
}
do_eqp_execsql_test 7.1 {
SELECT id FROM xdir, rt, ydir
ON (y1 BETWEEN ymin AND ymax)
WHERE (x1 BETWEEN xmin AND xmax);
} {
QUERY PLAN
|--SCAN xdir
|--SCAN ydir
`--SCAN rt VIRTUAL TABLE INDEX 2:B2D3B0D1
} {
2 4
}
do_eqp_execsql_test 7.2 {
SELECT * FROM xdir, rt LEFT JOIN ydir
ON (y1 BETWEEN ymin AND ymax)
WHERE (x1 BETWEEN xmin AND xmax);
} {
QUERY PLAN
|--SCAN xdir
|--SCAN rt VIRTUAL TABLE INDEX 2:B0D1
`--SCAN ydir LEFT-JOIN
} {
5 1 2 7 12 14 {}
5 2 2 7 8 12 10
5 4 5 5 10 10 10
}
do_eqp_execsql_test 7.3 {
SELECT id FROM xdir, rt CROSS JOIN ydir
ON (y1 BETWEEN ymin AND ymax)
WHERE (x1 BETWEEN xmin AND xmax);
} {
QUERY PLAN
|--SCAN xdir
|--SCAN rt VIRTUAL TABLE INDEX 2:B0D1
`--SCAN ydir
} {
2 4
}
do_eqp_execsql_test 7.4 {
SELECT id FROM rt, xdir CROSS JOIN ydir
ON (y1 BETWEEN ymin AND ymax)
WHERE (x1 BETWEEN xmin AND xmax);
} {
QUERY PLAN
|--SCAN xdir
|--SCAN rt VIRTUAL TABLE INDEX 2:B0D1
`--SCAN ydir
} {
2 4
}
finish_test
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# 2014 March 11
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# Miscellaneous tests for errors in the rtree constructor.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
source $testdir/lock_common.tcl
ifcapable !rtree||!builtin_test {
finish_test
return
}
set testprefix rtreeD
#-------------------------------------------------------------------------
# Test that if an SQLITE_BUSY is encountered within the vtable
# constructor, a relevant error message is returned.
#
do_multiclient_test tn {
do_test 1.$tn.1 {
sql1 {
CREATE TABLE t1(a, b);
INSERT INTO t1 VALUES(1,2);
CREATE VIRTUAL TABLE rt USING rtree(id, minx, maxx, miny, maxy);
INSERT INTO rt VALUES(1,2,3,4,5);
}
} {}
do_test 1.$tn.2 {
sql2 { SELECT * FROM t1; }
} {1 2}
do_test 1.$tn.3 {
sql1 { BEGIN EXCLUSIVE; INSERT INTO t1 VALUES(3, 4); }
} {}
do_test 1.$tn.4 {
list [catch { sql2 { SELECT * FROM rt } } msg] $msg
} {1 {database is locked}}
}
finish_test
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# 2010 August 28
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# This file contains tests for the r-tree module. Specifically, it tests
# that new-style custom r-tree queries (geometry callbacks) work.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
ifcapable rtree_int_only { finish_test; return }
#-------------------------------------------------------------------------
# Test the example 2d "circle" geometry callback.
#
register_circle_geom db
do_execsql_test rtreeE-1.0.0 {
PRAGMA page_size=512;
CREATE VIRTUAL TABLE rt1 USING rtree(id,x0,x1,y0,y1);
/* A tight pattern of small boxes near 0,0 */
WITH RECURSIVE
x(x) AS (VALUES(0) UNION ALL SELECT x+1 FROM x WHERE x<4),
y(y) AS (VALUES(0) UNION ALL SELECT y+1 FROM y WHERE y<4)
INSERT INTO rt1 SELECT x+5*y, x, x+2, y, y+2 FROM x, y;
/* A looser pattern of small boxes near 100, 0 */
WITH RECURSIVE
x(x) AS (VALUES(0) UNION ALL SELECT x+1 FROM x WHERE x<4),
y(y) AS (VALUES(0) UNION ALL SELECT y+1 FROM y WHERE y<4)
INSERT INTO rt1 SELECT 100+x+5*y, x*3+100, x*3+102, y*3, y*3+2 FROM x, y;
/* A looser pattern of larger boxes near 0, 200 */
WITH RECURSIVE
x(x) AS (VALUES(0) UNION ALL SELECT x+1 FROM x WHERE x<4),
y(y) AS (VALUES(0) UNION ALL SELECT y+1 FROM y WHERE y<4)
INSERT INTO rt1 SELECT 200+x+5*y, x*7, x*7+15, y*7+200, y*7+215 FROM x, y;
} {}
do_rtree_integrity_test rtreeE-1.0.1 rt1
# Queries against each of the three clusters */
do_execsql_test rtreeE-1.1 {
SELECT id FROM rt1 WHERE id MATCH Qcircle(0.0, 0.0, 50.0, 3) ORDER BY id;
} {0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24}
do_execsql_test rtreeE-1.1x {
SELECT id FROM rt1 WHERE id MATCH Qcircle('x:0 y:0 r:50.0 e:3') ORDER BY id;
} {0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24}
do_execsql_test rtreeE-1.2 {
SELECT id FROM rt1 WHERE id MATCH Qcircle(100.0, 0.0, 50.0, 3) ORDER BY id;
} {100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124}
do_execsql_test rtreeE-1.3 {
SELECT id FROM rt1 WHERE id MATCH Qcircle(0.0, 200.0, 50.0, 3) ORDER BY id;
} {200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224}
# The Qcircle geometry function gives a lower score to larger leaf-nodes.
# This causes the 200s to sort before the 100s and the 0s to sort before
# last.
#
do_execsql_test rtreeE-1.4 {
SELECT id FROM rt1 WHERE id MATCH Qcircle('r:1000 e:3') AND id%100==0
} {200 100 0}
# Exclude odd rowids on a depth-first search
do_execsql_test rtreeE-1.5 {
SELECT id FROM rt1 WHERE id MATCH Qcircle('r:1000 e:4') ORDER BY +id
} {0 2 4 6 8 10 12 14 16 18 20 22 24 100 102 104 106 108 110 112 114 116 118 120 122 124 200 202 204 206 208 210 212 214 216 218 220 222 224}
# Exclude odd rowids on a breadth-first search.
do_execsql_test rtreeE-1.6 {
SELECT id FROM rt1 WHERE id MATCH Qcircle(0,0,1000,5) ORDER BY +id
} {0 2 4 6 8 10 12 14 16 18 20 22 24 100 102 104 106 108 110 112 114 116 118 120 122 124 200 202 204 206 208 210 212 214 216 218 220 222 224}
# Test that rtree prefers MATCH to lookup-by-rowid.
#
do_execsql_test rtreeE-1.7 {
SELECT id FROM rt1 WHERE id=18 AND id MATCH Qcircle(0,0,1000,5)
} {18}
# Construct a large 2-D RTree with thousands of random entries.
#
do_test rtreeE-2.1 {
db eval {
CREATE TABLE t2(id,x0,x1,y0,y1);
CREATE VIRTUAL TABLE rt2 USING rtree(id,x0,x1,y0,y1);
BEGIN;
}
expr srand(0)
for {set i 1} {$i<=10000} {incr i} {
set dx [expr {int(rand()*40)+1}]
set dy [expr {int(rand()*40)+1}]
set x0 [expr {int(rand()*(10000 - $dx))}]
set x1 [expr {$x0+$dx}]
set y0 [expr {int(rand()*(10000 - $dy))}]
set y1 [expr {$y0+$dy}]
set id [expr {$i+10000}]
db eval {INSERT INTO t2 VALUES($id,$x0,$x1,$y0,$y1)}
}
db eval {
INSERT INTO rt2 SELECT * FROM t2;
COMMIT;
}
} {}
do_rtree_integrity_test rtreeE-2.1.1 rt2
for {set i 1} {$i<=200} {incr i} {
set dx [expr {int(rand()*100)}]
set dy [expr {int(rand()*100)}]
set x0 [expr {int(rand()*(10000 - $dx))}]
set x1 [expr {$x0+$dx}]
set y0 [expr {int(rand()*(10000 - $dy))}]
set y1 [expr {$y0+$dy}]
set ans [db eval {SELECT id FROM t2 WHERE x1>=$x0 AND x0<=$x1 AND y1>=$y0 AND y0<=$y1 ORDER BY id}]
do_execsql_test rtreeE-2.2.$i {
SELECT id FROM rt2 WHERE id MATCH breadthfirstsearch($x0,$x1,$y0,$y1) ORDER BY id
} $ans
}
# Run query that have very deep priority queues
#
set ans [db eval {SELECT id FROM t2 WHERE x1>=0 AND x0<=5000 AND y1>=0 AND y0<=5000 ORDER BY id}]
do_execsql_test rtreeE-2.3 {
SELECT id FROM rt2 WHERE id MATCH breadthfirstsearch(0,5000,0,5000) ORDER BY id
} $ans
set ans [db eval {SELECT id FROM t2 WHERE x1>=0 AND x0<=10000 AND y1>=0 AND y0<=10000 ORDER BY id}]
do_execsql_test rtreeE-2.4 {
SELECT id FROM rt2 WHERE id MATCH breadthfirstsearch(0,10000,0,10000) ORDER BY id
} $ans
finish_test
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# 2014-08-21
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# This file contains tests for the r-tree module.
#
# This file contains test cases for the ticket
# [369d57fb8e5ccdff06f197a37147a88f9de95cda] (2014-08-21)
#
# The following SQL causes an assertion fault while running
# sqlite3_prepare() on the DELETE statement:
#
# CREATE TABLE t1(x);
# CREATE TABLE t2(y);
# CREATE VIRTUAL TABLE t3 USING rtree(a,b,c);
# CREATE TRIGGER t2del AFTER DELETE ON t2 WHEN (SELECT 1 from t1) BEGIN
# DELETE FROM t3 WHERE a=old.y;
# END;
# DELETE FROM t2 WHERE y=1;
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
do_execsql_test rtreeF-1.1 {
CREATE TABLE t1(x);
CREATE TABLE t2(y);
CREATE VIRTUAL TABLE t3 USING rtree(a,b,c);
CREATE TRIGGER t2dwl AFTER DELETE ON t2 WHEN (SELECT 1 from t1) BEGIN
DELETE FROM t3 WHERE a=old.y;
END;
INSERT INTO t1(x) VALUES(999);
INSERT INTO t2(y) VALUES(1),(2),(3),(4),(5);
INSERT INTO t3(a,b,c) VALUES(1,2,3),(2,3,4),(3,4,5),(4,5,6),(5,6,7);
SELECT a FROM t3 ORDER BY a;
SELECT '|';
SELECT y FROM t2 ORDER BY y;
} {1 2 3 4 5 | 1 2 3 4 5}
do_execsql_test rtreeF-1.2 {
DELETE FROM t2 WHERE y=3;
SELECT a FROM t3 ORDER BY a;
SELECT '|';
SELECT y FROM t2 ORDER BY y;
} {1 2 4 5 | 1 2 4 5}
do_execsql_test rtreeF-1.3 {
DELETE FROM t1;
DELETE FROM t2 WHERE y=5;
SELECT a FROM t3 ORDER BY a;
SELECT '|';
SELECT y FROM t2 ORDER BY y;
} {1 2 4 5 | 1 2 4}
do_execsql_test rtreeF-1.4 {
INSERT INTO t1 DEFAULT VALUES;
DELETE FROM t2 WHERE y=5;
SELECT a FROM t3 ORDER BY a;
SELECT '|';
SELECT y FROM t2 ORDER BY y;
} {1 2 4 5 | 1 2 4}
do_execsql_test rtreeF-1.5 {
DELETE FROM t2 WHERE y=2;
SELECT a FROM t3 ORDER BY a;
SELECT '|';
SELECT y FROM t2 ORDER BY y;
} {1 4 5 | 1 4}
do_rtree_integrity_test rtreeF-1.6 t3
finish_test
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# 2016-05-32
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# This file contains tests for the r-tree module.
#
# Verify that no invalid SQL is run during initialization
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
db close
sqlite3_shutdown
test_sqlite3_log [list lappend ::log]
set ::log [list]
sqlite3 db test.db
set ::log {}
do_execsql_test rtreeG-1.1 {
CREATE VIRTUAL TABLE t1 USING rtree(id,x0,x1,y0,y1);
} {}
do_test rtreeG-1.1log {
set ::log
} {}
do_execsql_test rtreeG-1.2 {
INSERT INTO t1 VALUES(1,10,15,5,23),(2,20,21,5,23),(3,10,15,20,30);
SELECT id from t1 WHERE x0>8 AND x1<16 AND y0>2 AND y1<25;
} {1}
do_rtree_integrity_test rtreeG-1.2.integrity t1
do_test rtreeG-1.2log {
set ::log
} {}
db close
sqlite3 db test.db
do_execsql_test rtreeG-1.3 {
SELECT id from t1 WHERE x0>8 AND x1<16 AND y0>2 AND y1<25;
} {1}
do_test rtreeG-1.3log {
set ::log
} {}
do_execsql_test rtreeG-1.4 {
DROP TABLE t1;
} {}
do_test rtreeG-1.4log {
set ::log
} {}
expand_all_sql db
db close
sqlite3_shutdown
test_sqlite3_log
sqlite3_initialize
sqlite3 db test.db
finish_test
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# 2018-05-16
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# This file contains tests for the r-tree module, specifically the
# auxiliary column mechanism.
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
do_execsql_test rtreeH-100 {
CREATE VIRTUAL TABLE t1 USING rtree(id,x0,x1,y0,y1,+label,+other);
INSERT INTO t1(x0,x1,y0,y1,label) VALUES
(0,10,0,10,'lower-left corner'),
(0,10,90,100,'upper-left corner'),
(90,100,0,10,'lower-right corner'),
(90,100,90,100,'upper-right corner'),
(40,60,40,60,'center'),
(0,5,0,100,'left edge'),
(95,100,0,100,'right edge'),
(0,100,0,5,'bottom edge'),
(0,100,95,100,'top edge'),
(0,100,0,100,'the whole thing'),
(0,50,0,100,'left half'),
(51,100,0,100,'right half'),
(0,100,0,50,'bottom half'),
(0,100,51,100,'top half');
} {}
do_execsql_test rtreeH-101 {
SELECT * FROM t1_rowid ORDER BY rowid
} {1 1 {lower-left corner} {} 2 1 {upper-left corner} {} 3 1 {lower-right corner} {} 4 1 {upper-right corner} {} 5 1 center {} 6 1 {left edge} {} 7 1 {right edge} {} 8 1 {bottom edge} {} 9 1 {top edge} {} 10 1 {the whole thing} {} 11 1 {left half} {} 12 1 {right half} {} 13 1 {bottom half} {} 14 1 {top half} {}}
do_execsql_test rtreeH-102 {
SELECT * FROM t1 WHERE rowid=5;
} {5 40.0 60.0 40.0 60.0 center {}}
do_execsql_test rtreeH-102b {
SELECT * FROM t1 WHERE rowid=5.0;
} {5 40.0 60.0 40.0 60.0 center {}}
do_execsql_test rtreeH-102c {
SELECT * FROM t1 WHERE rowid='5';
} {5 40.0 60.0 40.0 60.0 center {}}
do_execsql_test rtreeH-102d {
SELECT * FROM t1 WHERE rowid='0005';
} {5 40.0 60.0 40.0 60.0 center {}}
do_execsql_test rtreeH-102e {
SELECT * FROM t1 WHERE rowid='+5.0e+0';
} {5 40.0 60.0 40.0 60.0 center {}}
do_execsql_test rtreeH-103 {
SELECT * FROM t1 WHERE label='center';
} {5 40.0 60.0 40.0 60.0 center {}}
do_execsql_test rtreeH-104 {
SELECT * FROM t1 WHERE rowid='+5.0e+0x';
} {}
do_execsql_test rtreeH-105 {
SELECT * FROM t1 WHERE rowid=x'35';
} {}
do_execsql_test rtreeH-106 {
SELECT * FROM t1 WHERE rowid=null;
} {}
do_rtree_integrity_test rtreeH-110 t1
do_execsql_test rtreeH-120 {
SELECT label FROM t1 WHERE x1<=50 ORDER BY id
} {{lower-left corner} {upper-left corner} {left edge} {left half}}
do_execsql_test rtreeH-121 {
SELECT label FROM t1 WHERE x1<=50 AND label NOT LIKE '%corner%' ORDER BY id
} {{left edge} {left half}}
do_execsql_test rtreeH-200 {
WITH RECURSIVE
c1(x) AS (VALUES(0) UNION ALL SELECT x+1 FROM c1 WHERE x<99),
c2(y) AS (VALUES(0) UNION ALL SELECT y+1 FROM c2 WHERE y<99)
INSERT INTO t1(id, x0,x1,y0,y1,label)
SELECT 1000+x+y*100, x, x+1, y, y+1, printf('box-%d,%d',x,y) FROM c1, c2;
} {}
do_execsql_test rtreeH-210 {
SELECT label FROM t1 WHERE x0>=48 AND x1<=50 AND y0>=48 AND y1<=50
ORDER BY id;
} {box-48,48 box-49,48 box-48,49 box-49,49}
do_execsql_test rtreeH-300 {
UPDATE t1 SET label='x'||label
WHERE x0>=49 AND x1<=50 AND y0>=49 AND y1<=50;
SELECT label FROM t1 WHERE x0>=48 AND x1<=50 AND y0>=48 AND y1<=50
ORDER BY id;
} {box-48,48 box-49,48 box-48,49 xbox-49,49}
finish_test
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# 2019-12-05
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
# Additional test cases
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree { finish_test ; return }
# The following is a test of rowvalue handling on virtual tables that
# deal with inequalities and that set the OMIT flag on terms of the
# WHERE clause. This is not specific to rtree. We just use rtree because
# it is a convenient test platform since it has all the right
# characteristics.
#
do_execsql_test rtreeI-1.10 {
CREATE TABLE t1(a);
INSERT INTO t1 VALUES(2);
CREATE VIRTUAL TABLE t2 USING rtree(id,x0,x1);
INSERT INTO t2(id,x0,x1) VALUES(1,2,3);
} {}
do_execsql_test rtreeI-1.20 {
SELECT 123 FROM t1, t2 WHERE (a,0)>(x0,0);
} {}
do_execsql_test rtreeI-1.21 {
SELECT 123 FROM t1, t2 WHERE (a,0.1)>(x0,0);
} {123}
do_execsql_test rtreeI-1.22 {
SELECT 123 FROM t1, t2 WHERE (a,0)>=(x0,0);
} {123}
do_execsql_test rtreeI-1.23 {
SELECT 123 FROM t1, t2 WHERE (a,0)<=(x0,0);
} {123}
do_execsql_test rtreeI-1.24 {
SELECT 123 FROM t1, t2 WHERE (a,0)<(x0,0);
} {}
do_execsql_test rtreeI-1.30 {
SELECT 123 FROM t1, t2 WHERE (x0,0)<(a,0);
} {}
do_execsql_test rtreeI-1.31 {
SELECT 123 FROM t1, t2 WHERE (x0,0)<(a,0.1);
} {123}
do_execsql_test rtreeI-1.40 {
SELECT 123 FROM t1, t2 WHERE x1<5 AND id<99 AND (a,0)>(x0,0);
} {}
do_execsql_test rtreeI-1.41 {
SELECT 123 FROM t1, t2 WHERE x1<5 AND id<99 AND (a,0.5)>(x0,0);
} {123}
do_execsql_test rtreeI-1.42 {
SELECT 123 FROM t1, t2 WHERE x1<5 AND id<99 AND (a,0)>=(x0,0);
} {123}
do_execsql_test rtreeI-1.43 {
SELECT 123 FROM t1, t2 WHERE x1<5 AND id<99 AND (a,0)<(x0,0);
} {}
do_execsql_test rtreeI-1.50 {
SELECT 123 FROM t1, t2 WHERE 5>x1 AND 99>id AND (x0,0)<(a,0);
} {}
do_execsql_test rtreeI-1.51 {
SELECT 123 FROM t1, t2 WHERE 5>x1 AND 99>id AND (x0,0)<(a,0.5);
} {123}
finish_test
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# 2024-02-03
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# ROLLBACK in the middle of an RTREE query
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source $testdir/tester.tcl
set testprefix rtreeJ
ifcapable !rtree { finish_test ; return }
do_execsql_test 1.0 {
CREATE VIRTUAL TABLE t1 USING rtree(id, x1, x2);
INSERT INTO t1 VALUES(1, 1, 1), (2, 2, 2);
} {}
do_execsql_test 1.1 {
SELECT * FROM t1
} {1 1.0 1.0 2 2.0 2.0}
# If a ROLLBACK occurs that backs out changes to the RTREE, then
# all pending queries to the RTREE are aborted.
#
do_test 1.2 {
db eval {
BEGIN;
INSERT INTO t1 VALUES(3, 3, 3);
INSERT INTO t1 VALUES(4, 4, 4);
}
set rc [catch {
db eval { SELECT * FROM t1 } {
if {$id==1} {
db eval { ROLLBACK }
}
lappend res $id $x1 $x2
}
} msg]
list $rc $msg
} {1 {query aborted}}
do_execsql_test 1.3 {
SELECT * FROM t1;
} {1 1.0 1.0 2 2.0 2.0}
# A COMMIT of changes to the RTREE does not affect pending queries
#
do_test 1.4 {
set res {}
db eval {
BEGIN;
INSERT INTO t1 VALUES(5, 5, 5);
INSERT INTO t1 VALUES(6, 6, 6);
}
db eval { SELECT * FROM t1 } {
if {$id==1} {
db eval { COMMIT }
}
lappend res $id $x1 $x2
}
set res
} {1 1.0 1.0 2 2.0 2.0 5 5.0 5.0 6 6.0 6.0}
do_execsql_test 1.5 {
SELECT * FROM t1;
} {1 1.0 1.0 2 2.0 2.0 5 5.0 5.0 6 6.0 6.0}
do_execsql_test 1.6 {
DELETE FROM t1;
INSERT INTO t1 VALUES(1,1,1),(2,2,2),(3,3,3),(4,4,4);
CREATE TABLE t2(x);
SELECT * FROM t1;
} {1 1.0 1.0 2 2.0 2.0 3 3.0 3.0 4 4.0 4.0}
# A rollback that does not affect the rtree table because
# the rtree table has not been written to does not cause
# a query abort.
#
do_test 1.7 {
set res {}
db eval {
BEGIN;
INSERT INTO t2(x) VALUES(12345);
}
db eval { SELECT * FROM t1 } {
if {$id==1} {
db eval { ROLLBACK }
}
lappend res $id $x1 $x2
}
set res
} {1 1.0 1.0 2 2.0 2.0 3 3.0 3.0 4 4.0 4.0}
# ROLLBACK TO that affects the RTREE does cause a query abort.
#
do_test 1.8 {
db eval {
DELETE FROM t1 WHERE rowid>1;
BEGIN;
DELETE FROM t2;
INSERT INTO t2(x) VALUES(23456);
SAVEPOINT 'one';
INSERT INTO t1 VALUES(2,2,2),(3,3,3);
}
set rc [catch {
db eval { SELECT * FROM t1 } {
if {$id==1} {
db eval { ROLLBACK TO 'one'; }
}
lappend res $id $x1 $x2
}
} msg]
list $rc $msg
} {1 {query aborted}}
do_execsql_test 1.9 {
COMMIT;
SELECT * FROM t1;
} {1 1.0 1.0}
# ROLLBACK TO that does not affect the RTREE does not cause a query abort.
#
do_execsql_test 1.10 {
DELETE FROM t1;
INSERT INTO t1 VALUES(1,1,1),(2,2,2),(3,3,3);
BEGIN;
DELETE FROM t2;
INSERT INTO t2(x) VALUES(34567);
SAVEPOINT 'one';
INSERT INTO t2(x) VALUES('a string');
SELECT * FROM t1;
} {1 1.0 1.0 2 2.0 2.0 3 3.0 3.0}
do_test 1.11 {
set rc [catch {
set res {}
db eval { SELECT * FROM t1 } {
if {$id==2} {
# db eval { ROLLBACK TO 'one'; }
}
lappend res $id $x1 $x2
}
set res
} msg]
list $rc $msg
} {0 {1 1.0 1.0 2 2.0 2.0 3 3.0 3.0}}
do_execsql_test 1.12 {
COMMIT;
SELECT * FROM t1;
} {1 1.0 1.0 2 2.0 2.0 3 3.0 3.0}
#----------------------------------------------------------------------
reset_db
do_execsql_test 2.0 {
CREATE VIRTUAL TABLE t1 USING rtree(id, x1, x2);
INSERT INTO t1 VALUES(1, 1, 1), (2, 2, 2);
CREATE TABLE t2(x);
} {}
do_test 2.1 {
db eval {
BEGIN;
INSERT INTO t1 VALUES(3, 3, 3);
PRAGMA writable_schema = RESET;
}
set rc [catch {
db eval { SELECT x1, x2 FROM t1 } {
if {$x1==1} {
db eval { ROLLBACK }
}
lappend res $x1 $x2
}
} msg]
list $rc $msg
} {1 {query aborted}}
do_execsql_test 2.1 {
CREATE TABLE bak_node(nodeno, data);
CREATE TABLE bak_parent(nodeno, parentnode);
CREATE TABLE bak_rowid(rowid, nodeno);
}
proc save_t1 {} {
db eval {
DELETE FROM bak_node;
DELETE FROM bak_parent;
DELETE FROM bak_rowid;
INSERT INTO bak_node SELECT * FROM t1_node;
INSERT INTO bak_parent SELECT * FROM t1_parent;
INSERT INTO bak_rowid SELECT * FROM t1_rowid;
}
}
proc restore_t1 {} {
db eval {
DELETE FROM t1_node;
DELETE FROM t1_parent;
DELETE FROM t1_rowid;
INSERT INTO t1_node SELECT * FROM bak_node;
INSERT INTO t1_parent SELECT * FROM bak_parent;
INSERT INTO t1_rowid SELECT * FROM bak_rowid;
}
}
do_test 2.3 {
save_t1
db eval {
INSERT INTO t1 VALUES(3, 3, 3);
}
set rc [catch {
db eval { SELECT rowid, x1, x2 FROM t1 } {
if {$x1==1} {
restore_t1
}
lappend res $x1 $x2
}
} msg]
list $rc $msg
} {1 {query aborted}}
do_execsql_test 2.4 {
SELECT * FROM t1
} {1 1.0 1.0 2 2.0 2.0}
do_test 2.5 {
save_t1
db eval {
INSERT INTO t1 VALUES(3, 3, 3);
}
set rc [catch {
db eval { SELECT x1 FROM t1 } {
if {$x1==1} {
restore_t1
}
lappend res $x1 $x2
}
} msg]
list $rc $msg
} {1 {query aborted}}
do_execsql_test 2.6 {
SELECT * FROM t1
} {1 1.0 1.0 2 2.0 2.0}
do_test 2.7 {
save_t1
db eval {
INSERT INTO t1 VALUES(3, 3, 3);
}
set ::res [list]
set rc [catch {
db eval { SELECT 'abc' FROM t1 } {
if {$::res==[list]} {
restore_t1
set ::bDone 1
}
lappend res abc
}
} msg]
set res
} {abc abc abc}
do_execsql_test 2.6 {
SELECT * FROM t1
} {1 1.0 1.0 2 2.0 2.0}
finish_test
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set testdir [file join [file dirname $argv0] .. .. test]
source $testdir/tester.tcl
ifcapable !rtree {
finish_test
return
}
set NROW 10000
set NQUERY 500
puts "Generating $NROW rows of data..."
set data [list]
for {set ii 0} {$ii < $NROW} {incr ii} {
set x1 [expr {rand()*1000}]
set x2 [expr {$x1+rand()*50}]
set y1 [expr {rand()*1000}]
set y2 [expr {$y1+rand()*50}]
lappend data $x1 $x2 $y1 $y2
}
puts "Finished generating data"
set sql1 {CREATE TABLE btree(ii INTEGER PRIMARY KEY, x1, x2, y1, y2)}
set sql2 {CREATE VIRTUAL TABLE rtree USING rtree(ii, x1, x2, y1, y2)}
puts "Creating tables:"
puts " $sql1"
puts " $sql2"
db eval $sql1
db eval $sql2
db eval "pragma cache_size=100"
puts -nonewline "Inserting into btree... "
flush stdout
set btree_time [time {db transaction {
set ii 1
foreach {x1 x2 y1 y2} $data {
db eval {INSERT INTO btree VALUES($ii, $x1, $x2, $y1, $y2)}
incr ii
}
}}]
puts "$btree_time"
puts -nonewline "Inserting into rtree... "
flush stdout
set rtree_time [time {db transaction {
set ii 1
foreach {x1 x2 y1 y2} $data {
incr ii
db eval {INSERT INTO rtree VALUES($ii, $x1, $x2, $y1, $y2)}
}
}}]
puts "$rtree_time"
puts -nonewline "Selecting from btree... "
flush stdout
set btree_select_time [time {
foreach {x1 x2 y1 y2} [lrange $data 0 [expr $NQUERY*4-1]] {
db eval {SELECT * FROM btree WHERE x1<$x1 AND x2>$x2 AND y1<$y1 AND y2>$y2}
}
}]
puts "$btree_select_time"
puts -nonewline "Selecting from rtree... "
flush stdout
set rtree_select_time [time {
foreach {x1 x2 y1 y2} [lrange $data 0 [expr $NQUERY*4-1]] {
db eval {SELECT * FROM rtree WHERE x1<$x1 AND x2>$x2 AND y1<$y1 AND y2>$y2}
}
}]
puts "$rtree_select_time"
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# 2008 Feb 19
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# This file contains Tcl code that may be useful for testing or
# analyzing r-tree structures created with this module. It is
# used by both test procedures and the r-tree viewer application.
#
#--------------------------------------------------------------------------
# PUBLIC API:
#
# rtree_depth
# rtree_ndim
# rtree_node
# rtree_mincells
# rtree_check
# rtree_dump
# rtree_treedump
#
proc rtree_depth {db zTab} {
$db one "SELECT rtreedepth(data) FROM ${zTab}_node WHERE nodeno=1"
}
proc rtree_nodedepth {db zTab iNode} {
set iDepth [rtree_depth $db $zTab]
set ii $iNode
while {$ii != 1} {
set sql "SELECT parentnode FROM ${zTab}_parent WHERE nodeno = $ii"
set ii [db one $sql]
incr iDepth -1
}
return $iDepth
}
# Return the number of dimensions of the rtree.
#
proc rtree_ndim {db zTab} {
set nDim [expr {(([llength [$db eval "pragma table_info($zTab)"]]/6)-1)/2}]
}
# Return the contents of rtree node $iNode.
#
proc rtree_node {db zTab iNode {iPrec 6}} {
set nDim [rtree_ndim $db $zTab]
set sql "
SELECT rtreenode($nDim, data) FROM ${zTab}_node WHERE nodeno = $iNode
"
set node [db one $sql]
set nCell [llength $node]
set nCoord [expr $nDim*2]
for {set ii 0} {$ii < $nCell} {incr ii} {
for {set jj 1} {$jj <= $nCoord} {incr jj} {
set newval [format "%.${iPrec}f" [lindex $node $ii $jj]]
lset node $ii $jj $newval
}
}
set node
}
proc rtree_mincells {db zTab} {
set n [$db one "select length(data) FROM ${zTab}_node LIMIT 1"]
set nMax [expr {int(($n-4)/(8+[rtree_ndim $db $zTab]*2*4))}]
return [expr {int($nMax/3)}]
}
# An integrity check for the rtree $zTab accessible via database
# connection $db.
#
proc rtree_check {db zTab} {
array unset ::checked
# Check each r-tree node.
set rc [catch {
rtree_node_check $db $zTab 1 [rtree_depth $db $zTab]
} msg]
if {$rc && $msg ne ""} { error $msg }
# Check that the _rowid and _parent tables have the right
# number of entries.
set nNode [$db one "SELECT count(*) FROM ${zTab}_node"]
set nRow [$db one "SELECT count(*) FROM ${zTab}"]
set nRowid [$db one "SELECT count(*) FROM ${zTab}_rowid"]
set nParent [$db one "SELECT count(*) FROM ${zTab}_parent"]
if {$nNode != ($nParent+1)} {
error "Wrong number of entries in ${zTab}_parent"
}
if {$nRow != $nRowid} {
error "Wrong number of entries in ${zTab}_rowid"
}
return $rc
}
proc rtree_node_check {db zTab iNode iDepth} {
if {[info exists ::checked($iNode)]} { error "Second ref to $iNode" }
set ::checked($iNode) 1
set node [rtree_node $db $zTab $iNode]
if {$iNode!=1 && [llength $node]==0} { error "No such node: $iNode" }
if {$iNode != 1 && [llength $node]<[rtree_mincells $db $zTab]} {
puts "Node $iNode: Has only [llength $node] cells"
error ""
}
if {$iNode == 1 && [llength $node]==1 && [rtree_depth $db $zTab]>0} {
set depth [rtree_depth $db $zTab]
puts "Node $iNode: Has only 1 child (tree depth is $depth)"
error ""
}
set nDim [expr {([llength [lindex $node 0]]-1)/2}]
if {$iDepth > 0} {
set d [expr $iDepth-1]
foreach cell $node {
set shouldbe [rtree_node_check $db $zTab [lindex $cell 0] $d]
if {$cell ne $shouldbe} {
puts "Node $iNode: Cell is: {$cell}, should be {$shouldbe}"
error ""
}
}
}
set mapping_table "${zTab}_parent"
set mapping_sql "SELECT parentnode FROM $mapping_table WHERE rowid = \$rowid"
if {$iDepth==0} {
set mapping_table "${zTab}_rowid"
set mapping_sql "SELECT nodeno FROM $mapping_table WHERE rowid = \$rowid"
}
foreach cell $node {
set rowid [lindex $cell 0]
set mapping [db one $mapping_sql]
if {$mapping != $iNode} {
puts "Node $iNode: $mapping_table entry for cell $rowid is $mapping"
error ""
}
}
set ret [list $iNode]
for {set ii 1} {$ii <= $nDim*2} {incr ii} {
set f [lindex $node 0 $ii]
foreach cell $node {
set f2 [lindex $cell $ii]
if {($ii%2)==1 && $f2<$f} {set f $f2}
if {($ii%2)==0 && $f2>$f} {set f $f2}
}
lappend ret $f
}
return $ret
}
proc rtree_dump {db zTab} {
set zRet ""
set nDim [expr {(([llength [$db eval "pragma table_info($zTab)"]]/6)-1)/2}]
set sql "SELECT nodeno, rtreenode($nDim, data) AS node FROM ${zTab}_node"
$db eval $sql {
append zRet [format "% -10s %s\n" $nodeno $node]
}
set zRet
}
proc rtree_nodetreedump {db zTab zIndent iDepth iNode} {
set ret ""
set node [rtree_node $db $zTab $iNode 1]
append ret [format "%-3d %s%s\n" $iNode $zIndent $node]
if {$iDepth>0} {
foreach cell $node {
set i [lindex $cell 0]
append ret [rtree_nodetreedump $db $zTab "$zIndent " [expr $iDepth-1] $i]
}
}
set ret
}
proc rtree_treedump {db zTab} {
set d [rtree_depth $db $zTab]
rtree_nodetreedump $db $zTab "" $d 1
}
proc do_rtree_integrity_test {tn tbl} {
uplevel [list do_execsql_test $tn.1 "SELECT rtreecheck('$tbl')" ok]
uplevel [list do_execsql_test $tn.2 "PRAGMA integrity_check" ok]
}
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# 2017 August 17
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source $testdir/tester.tcl
set testprefix rtreecheck
ifcapable !rtree {
finish_test
return
}
proc swap_int32 {blob i0 i1} {
binary scan $blob I* L
set a [lindex $L $i0]
set b [lindex $L $i1]
lset L $i0 $b
lset L $i1 $a
binary format I* $L
}
proc set_int32 {blob idx val} {
binary scan $blob I* L
lset L $idx $val
binary format I* $L
}
do_catchsql_test 1.0 {
SELECT rtreecheck();
} {1 {wrong number of arguments to function rtreecheck()}}
do_catchsql_test 1.1 {
SELECT rtreecheck(0,0,0);
} {1 {wrong number of arguments to function rtreecheck()}}
proc setup_simple_db {{module rtree}} {
reset_db
db func swap_int32 swap_int32
execsql "
CREATE VIRTUAL TABLE r1 USING $module (id, x1, x2, y1, y2);
INSERT INTO r1 VALUES(1, 5, 5, 5, 5); -- 3
INSERT INTO r1 VALUES(2, 6, 6, 6, 6); -- 9
INSERT INTO r1 VALUES(3, 7, 7, 7, 7); -- 15
INSERT INTO r1 VALUES(4, 8, 8, 8, 8); -- 21
INSERT INTO r1 VALUES(5, 9, 9, 9, 9); -- 27
"
sqlite3_db_config db DEFENSIVE 0
}
setup_simple_db
do_execsql_test 2.1 {
SELECT rtreecheck('r1')
} {ok}
do_execsql_test 2.2 {
UPDATE r1_node SET data = swap_int32(data, 3, 9);
UPDATE r1_node SET data = swap_int32(data, 23, 29);
}
do_execsql_test 2.3 {
SELECT rtreecheck('r1')
} {{Dimension 0 of cell 0 on node 1 is corrupt
Dimension 1 of cell 3 on node 1 is corrupt}}
do_execsql_test 2.3b {
PRAGMA integrity_check;
} {{In RTree main.r1:
Dimension 0 of cell 0 on node 1 is corrupt
Dimension 1 of cell 3 on node 1 is corrupt}}
setup_simple_db
do_execsql_test 2.4 {
DELETE FROM r1_rowid WHERE rowid = 3;
SELECT rtreecheck('r1')
} {{Mapping (3 -> 1) missing from %_rowid table
Wrong number of entries in %_rowid table - expected 5, actual 4}}
do_execsql_test 2.4b {
PRAGMA integrity_check
} {{In RTree main.r1:
Mapping (3 -> 1) missing from %_rowid table
Wrong number of entries in %_rowid table - expected 5, actual 4}}
setup_simple_db
do_execsql_test 2.5 {
UPDATE r1_rowid SET nodeno=2 WHERE rowid=3;
SELECT rtreecheck('r1')
} {{Found (3 -> 2) in %_rowid table, expected (3 -> 1)}}
do_execsql_test 2.5b {
PRAGMA integrity_check
} {{In RTree main.r1:
Found (3 -> 2) in %_rowid table, expected (3 -> 1)}}
reset_db
do_execsql_test 3.0 {
CREATE VIRTUAL TABLE r1 USING rtree_i32(id, x1, x2);
INSERT INTO r1 VALUES(1, 0x7FFFFFFF*-1, 0x7FFFFFFF);
INSERT INTO r1 VALUES(2, 0x7FFFFFFF*-1, 5);
INSERT INTO r1 VALUES(3, -5, 5);
INSERT INTO r1 VALUES(4, 5, 0x11111111);
INSERT INTO r1 VALUES(5, 5, 0x00800000);
INSERT INTO r1 VALUES(6, 5, 0x00008000);
INSERT INTO r1 VALUES(7, 5, 0x00000080);
INSERT INTO r1 VALUES(8, 5, 0x40490fdb);
INSERT INTO r1 VALUES(9, 0x7f800000, 0x7f900000);
SELECT rtreecheck('r1');
PRAGMA integrity_check;
} {ok ok}
do_execsql_test 3.1 {
CREATE VIRTUAL TABLE r2 USING rtree_i32(id, x1, x2);
INSERT INTO r2 VALUES(2, -1*(1<<31), -1*(1<<31)+5);
SELECT rtreecheck('r2');
PRAGMA integrity_check;
} {ok ok}
sqlite3_db_config db DEFENSIVE 0
do_execsql_test 3.2 {
BEGIN;
UPDATE r2_node SET data = X'123456';
SELECT rtreecheck('r2')!='ok';
} {1}
do_execsql_test 3.3 {
ROLLBACK;
UPDATE r2_node SET data = X'00001234';
SELECT rtreecheck('r2')!='ok';
} {1}
do_execsql_test 3.4 {
PRAGMA integrity_check;
} {{In RTree main.r2:
Node 1 is too small for cell count of 4660 (4 bytes)
Wrong number of entries in %_rowid table - expected 0, actual 1}}
do_execsql_test 4.0 {
CREATE TABLE notanrtree(i);
SELECT rtreecheck('notanrtree');
} {{Schema corrupt or not an rtree}}
#-------------------------------------------------------------------------
#
reset_db
db func set_int32 set_int32
do_execsql_test 5.0 {
CREATE VIRTUAL TABLE r3 USING rtree_i32(id, x1, x2, y1, y2);
WITH x(i) AS (
SELECT 1 UNION ALL SELECT i+1 FROM x WHERE i<1000
)
INSERT INTO r3 SELECT i, i, i, i, i FROM x;
}
sqlite3_db_config db DEFENSIVE 0
do_execsql_test 5.1 {
BEGIN;
UPDATE r3_node SET data = set_int32(data, 3, 5000);
UPDATE r3_node SET data = set_int32(data, 4, 5000);
SELECT rtreecheck('r3')=='ok'
} 0
do_execsql_test 5.2 {
ROLLBACK;
BEGIN;
UPDATE r3_node SET data = set_int32(data, 3, 0);
UPDATE r3_node SET data = set_int32(data, 4, 0);
SELECT rtreecheck('r3')=='ok'
} 0
#-------------------------------------------------------------------------
# dbsqlfuzz 4a1399d39bf9feccbf6b290da51d3b30103a4bf6
#
reset_db
do_execsql_test 6.0 {
PRAGMA encoding = 'utf16';
CREATE VIRTUAL TABLE t1 USING rtree(id, x, y);
}
db close
sqlite3 db test.db
if {[permutation]=="inmemory_journal"} {
# This doesn't hit an SQLITE_LOCKED in this permutation as the schema
# has already been loaded.
do_catchsql_test 6.1.inmemory_journal {
SELECT ( 'elvis' IN(SELECT rtreecheck('t1')) ) FROM (SELECT 1) GROUP BY 1;
} {0 0}
} else {
do_catchsql_test 6.1 {
SELECT ( 'elvis' IN(SELECT rtreecheck('t1')) ) FROM (SELECT 1) GROUP BY 1;
} {0 0}
}
finish_test
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# 2018 Dec 22
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#*************************************************************************
# This file implements regression tests for SQLite library. The
# focus of this script is testing the FTS5 module.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
set testprefix rtreecirc
ifcapable !rtree {
finish_test
return
}
do_execsql_test 1.0 {
CREATE VIRTUAL TABLE rt USING rtree(id, x1, x2, y1, y2);
SELECT name FROM sqlite_master ORDER BY 1;
} {
rt rt_node rt_parent rt_rowid
}
db_save_and_close
foreach {tn schema sql} {
1 {
CREATE TRIGGER tr1 AFTER INSERT ON rt_node BEGIN
SELECT * FROM rt;
END;
} {
INSERT INTO rt VALUES(1, 2, 3, 4, 5);
}
2 {
CREATE TRIGGER tr1 AFTER INSERT ON rt_parent BEGIN
SELECT * FROM rt;
END;
} {
INSERT INTO rt VALUES(1, 2, 3, 4, 5);
}
3 {
CREATE TRIGGER tr1 AFTER INSERT ON rt_rowid BEGIN
SELECT * FROM rt;
END;
} {
INSERT INTO rt VALUES(1, 2, 3, 4, 5);
}
} {
db_restore_and_reopen
do_execsql_test 1.1.$tn.1 $schema
do_catchsql_test 1.1.$tn.2 $sql {1 {no such table: main.rt}}
db close
}
finish_test
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# 2017 August 17
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing the r-tree extension. Specifically,
# the impact of an SQLITE_SCHEMA error within the rtree module xConnect
# callback.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source $testdir/tester.tcl
set testprefix rtreeconnect
ifcapable !rtree {
finish_test
return
}
do_execsql_test 1.0 {
CREATE VIRTUAL TABLE r1 USING rtree(id, x1, x2, y1, y2);
CREATE TABLE t1(id, x1, x2, y1, y2);
CREATE TABLE log(l);
CREATE TRIGGER tr1 AFTER INSERT ON t1 BEGIN
INSERT INTO r1 VALUES(new.id, new.x1, new.x2, new.y1, new.y2);
INSERT INTO log VALUES('r1: ' || new.id);
END;
}
db close
sqlite3 db test.db
sqlite3 db2 test.db
do_test 1.1 {
db eval { INSERT INTO log VALUES('startup'); }
db2 eval { CREATE TABLE newtable(x,y); }
} {}
do_execsql_test 1.2 {
INSERT INTO t1 VALUES(1, 2, 3, 4, 5);
}
db2 close
db close
finish_test
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# 2021 September 13
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing the r-tree extension.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
set testprefix rtreedoc2
ifcapable !rtree {
finish_test
return
}
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
# Section 6 of documentation.
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
set testprefix rtreedoc2-1
# EVIDENCE-OF: R-35254-48865 A call to one of the above APIs creates a
# new SQL function named by the second parameter (zQueryFunc or zGeom).
#
# [register_circle_geom db] registers new geometry callback "Qcircle"
# and legacy implementation "circle". Test that these do actually appear.
#
do_execsql_test 1.1.0 {
SELECT * FROM pragma_function_list WHERE name IN('circle', 'qcircle');
} {
}
do_test 1.1 {
register_circle_geom db
} {SQLITE_OK}
do_execsql_test 1.1.2 {
SELECT * FROM pragma_function_list WHERE name = 'circle' AND enc='utf8';
} {
circle 0 s utf8 -1 0
}
do_execsql_test 1.1.3 {
SELECT * FROM pragma_function_list WHERE name = 'qcircle' AND enc='utf8';
} {
qcircle 0 s utf8 -1 0
}
do_execsql_test 1.2.0 { SELECT circle(1, 2, 3); } {{}}
do_execsql_test 1.2.1 { SELECT qcircle(1, 2, 3); } {{}}
# EVIDENCE-OF: R-61427-46983
do_execsql_test 1.3.0 {
CREATE VIRTUAL TABLE demo_index USING rtree(id, x1,x2, y1,y2);
INSERT INTO demo_index VALUES(10, 45,45, 24,24);
INSERT INTO demo_index VALUES(20, 50,50, 28,28);
INSERT INTO demo_index VALUES(30, 43,43, 22,22);
}
do_execsql_test 1.3.1 {
SELECT id FROM demo_index WHERE id MATCH circle(45.3, 22.9, 5.0)
} {10 30}
# EVIDENCE-OF: R-16907-50223 The SQL syntax for custom queries is the
# same regardless of which interface, sqlite3_rtree_geometry_callback()
# or sqlite3_rtree_query_callback(), is used to register the SQL
# function.
do_execsql_test 1.3.2 {
SELECT id FROM demo_index WHERE id MATCH qcircle(45.3, 22.9, 5.0, 1)
} {10 30}
# EVIDENCE-OF: R-59634-51678 When that SQL function appears on the
# right-hand side of the MATCH operator and the left-hand side of the
# MATCH operator is any column in the R*Tree virtual table, then the
# callback defined by the third argument (xQueryFunc or xGeom) is
# invoked to determine if a particular object or subtree overlaps the
# desired region.
proc box_geom {args} {
lappend ::box_geom [concat [lindex $args 0] [lrange $args 2 end-1]]
return ""
}
register_box_geom db box_geom
set box_geom [list]
do_execsql_test 1.3.2 {
SELECT id FROM demo_index WHERE id MATCH box(43,46, 21,25);
} {10 30}
do_test 1.3.3 {
set ::box_geom
} [list {*}{
{box {43.0 46.0 21.0 25.0} {45.0 45.0 24.0 24.0}}
{box {43.0 46.0 21.0 25.0} {50.0 50.0 28.0 28.0}}
{box {43.0 46.0 21.0 25.0} {43.0 43.0 22.0 22.0}}
}]
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
# Section 6 of documentation.
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
set testprefix rtreedoc2-2
# EVIDENCE-OF: R-02424-24769 The second argument is the number of
# coordinates in each r-tree entry, and is always the same for any given
# R*Tree.
#
# EVIDENCE-OF: R-40260-16838 The number of coordinates is 2 for a
# 1-dimensional R*Tree, 4 for a 2-dimensional R*Tree, 6 for a
# 3-dimensional R*Tree, and so forth.
#
# The second argument referred to above is the length of the list passed
# as the 3rd parameter to the Tcl script.
#
do_execsql_test 1.0 {
CREATE VIRTUAL TABLE rt1 USING rtree(id, x1,x2);
CREATE VIRTUAL TABLE rt2 USING rtree(id, x1,x2, y1,y2);
CREATE VIRTUAL TABLE rt3 USING rtree(id, x1,x2, y1,y2, z1,z2);
INSERT INTO rt1 DEFAULT VALUES;
INSERT INTO rt2 DEFAULT VALUES;
INSERT INTO rt3 DEFAULT VALUES;
}
foreach {tn tbl nCoord} {
1 rt1 2
2 rt2 4
3 rt3 6
} {
set ::box_geom [list]
do_catchsql_test 1.$tn.1 "
SELECT id FROM $tbl WHERE id MATCH box();
" {1 {SQL logic error}}
do_test 1.$tn.2 {
llength [lindex $::box_geom 0 2]
} $nCoord
}
# EVIDENCE-OF: R-28051-48608 If xGeom returns anything other than
# SQLITE_OK, then the r-tree query will abort with an error.
proc box_geom {args} {
error "an error!"
}
do_catchsql_test 2.0 {
SELECT * FROM rt2 WHERE id MATCH box(22,23, 24,25);
} {1 {SQL logic error}}
do_execsql_test 3.0 {
INSERT INTO rt1 VALUES(10, 10, 10);
INSERT INTO rt1 VALUES(11, 11, 11);
INSERT INTO rt1 VALUES(12, 12, 12);
INSERT INTO rt1 VALUES(13, 13, 13);
INSERT INTO rt1 VALUES(14, 14, 14);
}
# EVIDENCE-OF: R-53759-57366 The exact same sqlite3_rtree_geometry
# structure is used for every callback for same MATCH operator in the
# same query.
proc box_geom {args} {
lappend ::ptr_list [lindex $args 4]
return 0
}
set ::ptr_list [list]
do_execsql_test 3.1 {
SELECT * FROM rt1 WHERE id MATCH box(1,1);
}
do_test 3.2 {
set val [lindex $::ptr_list 0]
foreach p $::ptr_list {
if {$p!=$val} {error "pointer mismatch"}
}
} {}
# EVIDENCE-OF: R-60247-35692 The contents of the sqlite3_rtree_geometry
# structure are initialized by SQLite but are not subsequently modified.
proc box_geom {args} {
lappend ::box_geom [concat [lindex $args 0] [lrange $args 2 end-1]]
if {[llength $::box_geom]==3} {
return "zero"
}
return ""
}
set ::box_geom [list]
do_catchsql_test 3.2 {
SELECT * FROM rt1 WHERE id MATCH box(1,1);
} {1 {SQL logic error}}
do_test 3.3 {
set ::box_geom
} [list {*}{
{box {1.0 1.0} {0.0 0.0}}
{box {1.0 1.0} {10.0 10.0}}
{box {1.0 1.0} {11.0 11.0}}
{box 0.0 {12.0 12.0}}
}]
# EVIDENCE-OF: R-31246-29731 The pContext member of the
# sqlite3_rtree_geometry structure is always set to a copy of the
# pContext argument passed to sqlite3_rtree_geometry_callback() when the
# callback is registered.
reset_db
do_execsql_test 4.0 {
CREATE VIRTUAL TABLE r1 USING rtree(id, minX,maxX, minY,maxY);
WITH s(i) AS (
VALUES(1) UNION ALL SELECT i+1 FROM s WHERE i<120
)
INSERT INTO r1 SELECT i,i,i+1, 200,201 FROM s;
}
set ctx [register_box_geom db box_geom]
set ::box_geom [list]
proc box_geom {args} {
lappend ::box_geom [lindex $args 1]
return ""
}
do_execsql_test 4.1 {
SELECT count(*) FROM r1 WHERE id MATCH box(0,150,199,201)
} 120
do_test 4.2 {
foreach g $::box_geom {
if {$g!=$ctx} {error "pointer mismatch"}
}
} {}
# EVIDENCE-OF: R-09904-19077 The aParam[] array (size nParam) contains
# the parameter values passed to the SQL function on the right-hand side
# of the MATCH operator.
proc box_geom {args} {
set ::box_geom [lindex $args 2]
}
foreach {tn q vals} {
1 "SELECT count(*) FROM r1 WHERE id MATCH box(1,2,3)" {1.0 2.0 3.0}
2 "SELECT count(*) FROM r1 WHERE id MATCH box(10001)" {10001.0}
3 "SELECT count(*) FROM r1 WHERE id MATCH box(-10001)" {-10001.0}
} {
do_catchsql_test 5.$tn.1 $q {1 {SQL logic error}}
do_test 5.$tn.2 { set ::box_geom } $vals
}
do_execsql_test 5.0 {
CREATE VIRTUAL TABLE myrtree USING rtree(id, x1,x2);
INSERT INTO myrtree VALUES(1, 1, 1);
INSERT INTO myrtree VALUES(2, 2, 2);
INSERT INTO myrtree VALUES(3, 3, 3);
}
# EVIDENCE-OF: R-44448-00687 The pUser and xDelUser members of the
# sqlite3_rtree_geometry structure are initially set to NULL.
set ::box_geom_calls 0
proc box_geom {args} {
incr ::box_geom_calls
return user_is_zero
}
do_execsql_test 5.1.1 {
SELECT * FROM myrtree WHERE id MATCH box(4, 5);
}
do_test 5.1.2 { set ::box_geom_calls } 3
# EVIDENCE-OF: R-55837-00155 The pUser variable may be set by the
# callback implementation to any arbitrary value that may be useful to
# subsequent invocations of the callback within the same query (for
# example, a pointer to a complicated data structure used to test for
# region intersection).
#
# EVIDENCE-OF: R-34745-08839 If the xDelUser variable is set to a
# non-NULL value, then after the query has finished running SQLite
# automatically invokes it with the value of the pUser variable as the
# only argument.
#
set ::box_geom_calls 0
proc box_geom {args} {
incr ::box_geom_calls
switch -- $::box_geom_calls {
1 {
return user_is_zero
}
2 {
return [list user box_geom_finalizer]
}
}
return ""
}
proc box_geom_finalizer {} {
set ::box_geom_finalizer "::box_geom_calls is $::box_geom_calls"
}
do_execsql_test 5.1.1 {
SELECT * FROM myrtree WHERE id MATCH box(4, 5);
}
do_test 5.1.2 { set ::box_geom_calls } 3
do_test 5.1.3 {
set ::box_geom_finalizer
} {::box_geom_calls is 3}
# EVIDENCE-OF: R-28176-28813 The xGeom callback always does a
# depth-first search of the r-tree.
#
# For a breadth first search, final test case would return "B L" only.
#
do_execsql_test 6.0 {
CREATE VIRTUAL TABLE xyz USING rtree(x, x1,x2, y1,y2);
WITH s(i) AS (
VALUES(1) UNION ALL SELECT i+1 FROM s WHERE i<15
)
INSERT INTO xyz SELECT NULL, one.i,one.i+1, two.i,two.i+1 FROM s one, s two;
}
do_execsql_test 6.1 {
SELECT count(*) FROM xyz_node
} {10}
proc box_geom {args} {
set coords [lindex $args 3]
set area [expr {
([lindex $coords 1]-[lindex $coords 0]) *
([lindex $coords 3]-[lindex $coords 2])
}]
if {$area==1} {
lappend ::box_geom_calls L
} else {
lappend ::box_geom_calls B
}
}
set ::box_geom_calls [list]
do_execsql_test 6.2 {
SELECT count(*) FROM xyz WHERE x MATCH box(0,20,0,20)
} 225
do_test 6.3 {
set prev ""
set box_calls [list]
foreach c $::box_geom_calls {
if {$c!=$prev} {
lappend ::box_calls $c
set prev $c
}
}
set ::box_calls
} {B L B L B L B L B L B L B L B L B L}
finish_test
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# 2021 September 13
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing the r-tree extension.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
set testprefix rtreedoc3
ifcapable !rtree {
finish_test
return
}
# This command assumes that the argument is a node blob for a 2 dimensional
# i32 r-tree table. It decodes and returns a list of cells from the node
# as a list. Each cell is itself a list of the following form:
#
# {$rowid $minX $maxX $minY $maxY}
#
# For internal (non-leaf) nodes, the rowid is replaced by the child node
# number.
#
proc rnode_cells {aData} {
set nDim 2
set nData [string length $aData]
set nBytePerCell [expr (8 + 2*$nDim*4)]
binary scan [string range $aData 2 3] S nCell
set res [list]
for {set i 0} {$i < $nCell} {incr i} {
set iOff [expr $i*$nBytePerCell+4]
set cell [string range $aData $iOff [expr $iOff+$nBytePerCell-1]]
binary scan $cell WIIII rowid x1 x2 y1 y2
lappend res [list $rowid $x1 $x2 $y1 $y2]
}
return $res
}
# Interpret the first two bytes of the blob passed as the only parameter
# as a 16-bit big-endian integer and return the value. If this blob is
# the root node of an r-tree, this value is the height of the tree.
#
proc rnode_height {aData} {
binary scan [string range $aData 0 1] S nHeight
return $nHeight
}
# Return a blob containing node iNode of r-tree "rt".
#
proc rt_node_get {iNode} {
db one { SELECT data FROM rt_node WHERE nodeno=$iNode }
}
#--------------------------------------------------------------
# API:
#
# pq_init
# Initialize a new test.
#
# pq_test_callback
# Invoked each time the xQueryCallback function is called. This Tcl
# command checks that the arguments that SQLite passed to xQueryCallback
# are as expected.
#
# pq_test_row
# Invoked each time a row is returned. Checks that the row returned
# was predicted by the documentation.
#
# DATA STRUCTURE:
# The priority queue is stored as a Tcl list. The order of elements in
# the list is unimportant - it is just used as a set here. Each element
# in the priority queue is itself a list. The first element is the
# priority value for the entry (a real). Following this is a list of
# key-value pairs that make up the entries fields.
#
proc pq_init {} {
global Q
set Q(pri_queue) [list]
set nHeight [rnode_height [rt_node_get 1]]
set nCell [llength [rnode_cells [rt_node_get 1]]]
# EVIDENCE-OF: R-54708-13595 An R*Tree query is initialized by making
# the root node the only entry in a priority queue sorted by rScore.
lappend Q(pri_queue) [list 0.0 [list \
iLevel [expr $nHeight+1] \
iChild 1 \
iCurrent 0 \
]]
}
proc pq_extract {} {
global Q
if {[llength $Q(pri_queue)]==0} {
error "priority queue is empty!"
}
# Find the priority queue entry with the lowest score.
#
# EVIDENCE-OF: R-47257-47871 Smaller scores are processed first.
set iBest 0
set rBestScore [lindex $Q(pri_queue) 0 0]
for {set ii 1} {$ii < [llength $Q(pri_queue)]} {incr ii} {
set rScore [expr [lindex $Q(pri_queue) $ii 0]]
if {$rScore<$rBestScore} {
set rBestScore $rScore
set iBest $ii
}
}
# Extract the entry with the lowest score from the queue and return it.
#
# EVIDENCE-OF: R-60002-49798 The query proceeds by extracting the entry
# from the priority queue that has the lowest score.
set ret [lindex $Q(pri_queue) $iBest]
set Q(pri_queue) [lreplace $Q(pri_queue) $iBest $iBest]
return $ret
}
proc pq_new_entry {rScore iLevel cell} {
global Q
set rowid_name "iChild"
if {$iLevel==0} { set rowid_name "iRowid" }
set kv [list]
lappend kv aCoord [lrange $cell 1 end]
lappend kv iLevel $iLevel
if {$iLevel==0} {
lappend kv iRowid [lindex $cell 0]
} else {
lappend kv iChild [lindex $cell 0]
lappend kv iCurrent 0
}
lappend Q(pri_queue) [list $rScore $kv]
}
proc pq_test_callback {L res} {
#pq_debug "pq_test_callback $L -> $res"
global Q
array set G $L ;# "Got" - as in stuff passed to xQuery
# EVIDENCE-OF: R-65127-42665 If the extracted priority queue entry is a
# node (a subtree), then the next child of that node is passed to the
# xQueryFunc callback.
#
# If it had been a leaf, the row should have been returned, instead of
# xQueryCallback being called on a child - as is happening here.
foreach {rParentScore parent} [pq_extract] {}
array set P $parent ;# "Parent" - as in parent of expected cell
if {$P(iLevel)==0} { error "query callback mismatch (1)" }
set child_node [rnode_cells [rt_node_get $P(iChild)]]
set expected_cell [lindex $child_node $P(iCurrent)]
set expected_coords [lrange $expected_cell 1 end]
if {[llength $expected_coords] != [llength $G(aCoord)]} {
puts [array get P]
puts "E: $expected_coords G: $G(aCoord)"
error "coordinate mismatch in query callback (1)"
}
foreach a [lrange $expected_cell 1 end] b $G(aCoord) {
if {$a!=$b} { error "coordinate mismatch in query callback (2)" }
}
# Check level is as expected
#
if {$G(iLevel) != $P(iLevel)-1} {
error "iLevel mismatch in query callback (1)"
}
# Unless the callback returned NOT_WITHIN, add the entry to the priority
# queue.
#
# EVIDENCE-OF: R-28754-35153 Those subelements for which the xQueryFunc
# callback sets eWithin to PARTLY_WITHIN or FULLY_WITHIN are added to
# the priority queue using the score supplied by the callback.
#
# EVIDENCE-OF: R-08681-45277 Subelements that return NOT_WITHIN are
# discarded.
set r [lindex $res 0]
set rScore [lindex $res 1]
if {$r!="fully" && $r!="partly" && $r!="not"} {
error "unknown result: $r - expected \"fully\", \"partly\" or \"not\""
}
if {$r!="not"} {
pq_new_entry $rScore [expr $P(iLevel)-1] $expected_cell
}
# EVIDENCE-OF: R-07194-63805 If the node has more children then it is
# returned to the priority queue. Otherwise it is discarded.
incr P(iCurrent)
if {$P(iCurrent)<[llength $child_node]} {
lappend Q(pri_queue) [list $rParentScore [array get P]]
}
}
proc pq_test_result {id x1 x2 y1 y2} {
#pq_debug "pq_test_result $id $x1 $x2 $y1 $y2"
foreach {rScore next} [pq_extract] {}
# The extracted entry must be a leaf (otherwise, xQueryCallback would
# have been called on the extracted entries children instead of just
# returning the data).
#
# EVIDENCE-OF: R-13214-54017 If that entry is a leaf (meaning that it is
# an actual R*Tree entry and not a subtree) then that entry is returned
# as one row of the query result.
array set N $next
if {$N(iLevel)!=0} { error "result row mismatch (1)" }
if {$x1!=[lindex $N(aCoord) 0] || $x2!=[lindex $N(aCoord) 1]
|| $y1!=[lindex $N(aCoord) 2] || $y2!=[lindex $N(aCoord) 3]
} {
if {$N(iLevel)!=0} { error "result row mismatch (2)" }
}
if {$id!=$N(iRowid)} { error "result row mismatch (3)" }
}
proc pq_done {} {
global Q
# EVIDENCE-OF: R-57438-45968 The query runs until the priority queue is
# empty.
if {[llength $Q(pri_queue)]>0} {
error "priority queue is not empty!"
}
}
proc pq_debug {caption} {
global Q
puts "**** $caption ****"
set i 0
foreach q [lsort -real -index 0 $Q(pri_queue)] {
puts "PQ $i: $q"
incr i
}
}
#--------------------------------------------------------------
proc box_query {a} {
set res [list fully [expr rand()]]
pq_test_callback $a $res
return $res
}
register_box_query db box_query
do_execsql_test 1.0 {
CREATE VIRTUAL TABLE rt USING rtree_i32(id, x1,x2, y1,y2);
WITH s(i) AS (
SELECT 0 UNION ALL SELECT i+1 FROM s WHERE i<64
)
INSERT INTO rt SELECT NULL, a.i, a.i+1, b.i, b.i+1 FROM s a, s b;
}
proc box_query {a} {
set res [list fully [expr rand()]]
pq_test_callback $a $res
return $res
}
pq_init
db eval { SELECT id, x1,x2, y1,y2 FROM rt WHERE id MATCH qbox() } {
pq_test_result $id $x1 $x2 $y1 $y2
}
pq_done
finish_test
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/*
** 2010 August 30
**
** The author disclaims copyright to this source code. In place of
** a legal notice, here is a blessing:
**
** May you do good and not evil.
** May you find forgiveness for yourself and forgive others.
** May you share freely, never taking more than you give.
**
*************************************************************************
*/
#ifndef _SQLITE3RTREE_H_
#define _SQLITE3RTREE_H_
#include <sqlite3.h>
#ifdef __cplusplus
extern "C" {
#endif
typedef struct sqlite3_rtree_geometry sqlite3_rtree_geometry;
typedef struct sqlite3_rtree_query_info sqlite3_rtree_query_info;
/* The double-precision datatype used by RTree depends on the
** SQLITE_RTREE_INT_ONLY compile-time option.
*/
#ifdef SQLITE_RTREE_INT_ONLY
typedef sqlite3_int64 sqlite3_rtree_dbl;
#else
typedef double sqlite3_rtree_dbl;
#endif
/*
** Register a geometry callback named zGeom that can be used as part of an
** R-Tree geometry query as follows:
**
** SELECT ... FROM <rtree> WHERE <rtree col> MATCH $zGeom(... params ...)
*/
int sqlite3_rtree_geometry_callback(
sqlite3 *db,
const char *zGeom,
int (*xGeom)(sqlite3_rtree_geometry*, int, sqlite3_rtree_dbl*,int*),
void *pContext
);
/*
** A pointer to a structure of the following type is passed as the first
** argument to callbacks registered using rtree_geometry_callback().
*/
struct sqlite3_rtree_geometry {
void *pContext; /* Copy of pContext passed to s_r_g_c() */
int nParam; /* Size of array aParam[] */
sqlite3_rtree_dbl *aParam; /* Parameters passed to SQL geom function */
void *pUser; /* Callback implementation user data */
void (*xDelUser)(void *); /* Called by SQLite to clean up pUser */
};
/*
** Register a 2nd-generation geometry callback named zScore that can be
** used as part of an R-Tree geometry query as follows:
**
** SELECT ... FROM <rtree> WHERE <rtree col> MATCH $zQueryFunc(... params ...)
*/
int sqlite3_rtree_query_callback(
sqlite3 *db,
const char *zQueryFunc,
int (*xQueryFunc)(sqlite3_rtree_query_info*),
void *pContext,
void (*xDestructor)(void*)
);
/*
** A pointer to a structure of the following type is passed as the
** argument to scored geometry callback registered using
** sqlite3_rtree_query_callback().
**
** Note that the first 5 fields of this structure are identical to
** sqlite3_rtree_geometry. This structure is a subclass of
** sqlite3_rtree_geometry.
*/
struct sqlite3_rtree_query_info {
void *pContext; /* pContext from when function registered */
int nParam; /* Number of function parameters */
sqlite3_rtree_dbl *aParam; /* value of function parameters */
void *pUser; /* callback can use this, if desired */
void (*xDelUser)(void*); /* function to free pUser */
sqlite3_rtree_dbl *aCoord; /* Coordinates of node or entry to check */
unsigned int *anQueue; /* Number of pending entries in the queue */
int nCoord; /* Number of coordinates */
int iLevel; /* Level of current node or entry */
int mxLevel; /* The largest iLevel value in the tree */
sqlite3_int64 iRowid; /* Rowid for current entry */
sqlite3_rtree_dbl rParentScore; /* Score of parent node */
int eParentWithin; /* Visibility of parent node */
int eWithin; /* OUT: Visibility */
sqlite3_rtree_dbl rScore; /* OUT: Write the score here */
/* The following fields are only available in 3.8.11 and later */
sqlite3_value **apSqlParam; /* Original SQL values of parameters */
};
/*
** Allowed values for sqlite3_rtree_query.eWithin and .eParentWithin.
*/
#define NOT_WITHIN 0 /* Object completely outside of query region */
#define PARTLY_WITHIN 1 /* Object partially overlaps query region */
#define FULLY_WITHIN 2 /* Object fully contained within query region */
#ifdef __cplusplus
} /* end of the 'extern "C"' block */
#endif
#endif /* ifndef _SQLITE3RTREE_H_ */
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/*
** 2010 August 28
**
** The author disclaims copyright to this source code. In place of
** a legal notice, here is a blessing:
**
** May you do good and not evil.
** May you find forgiveness for yourself and forgive others.
** May you share freely, never taking more than you give.
**
*************************************************************************
** Code for testing all sorts of SQLite interfaces. This code
** is not included in the SQLite library.
*/
#include "sqlite3.h"
#include "tclsqlite.h"
/* Solely for the UNUSED_PARAMETER() macro. */
#include "sqliteInt.h"
#ifdef SQLITE_ENABLE_RTREE
typedef struct BoxGeomCtx BoxGeomCtx;
struct BoxGeomCtx {
Tcl_Interp *interp;
Tcl_Obj *pScript;
};
typedef struct BoxQueryCtx BoxQueryCtx;
struct BoxQueryCtx {
Tcl_Interp *interp;
Tcl_Obj *pScript;
};
static void testDelUser(void *pCtx){
BoxGeomCtx *p = (BoxGeomCtx*)pCtx;
Tcl_EvalObjEx(p->interp, p->pScript, 0);
Tcl_DecrRefCount(p->pScript);
sqlite3_free(p);
}
static int invokeTclGeomCb(
const char *zName,
sqlite3_rtree_geometry *p,
int nCoord,
sqlite3_rtree_dbl *aCoord
){
int rc = SQLITE_OK;
if( p->pContext ){
char aPtr[64];
BoxGeomCtx *pCtx = (BoxGeomCtx*)p->pContext;
Tcl_Interp *interp = pCtx->interp;
Tcl_Obj *pScript = 0;
Tcl_Obj *pParam = 0;
Tcl_Obj *pCoord = 0;
int ii;
Tcl_Obj *pRes;
pScript = Tcl_DuplicateObj(pCtx->pScript);
Tcl_IncrRefCount(pScript);
Tcl_ListObjAppendElement(interp, pScript, Tcl_NewStringObj(zName,-1));
sqlite3_snprintf(sizeof(aPtr)-1, aPtr, "%p", (void*)p->pContext);
Tcl_ListObjAppendElement(interp, pScript, Tcl_NewStringObj(aPtr,-1));
pParam = Tcl_NewObj();
for(ii=0; ii<p->nParam; ii++){
Tcl_ListObjAppendElement(
interp, pParam, Tcl_NewDoubleObj(p->aParam[ii])
);
}
Tcl_ListObjAppendElement(interp, pScript, pParam);
pCoord = Tcl_NewObj();
for(ii=0; ii<nCoord; ii++){
Tcl_ListObjAppendElement(interp, pCoord, Tcl_NewDoubleObj(aCoord[ii]));
}
Tcl_ListObjAppendElement(interp, pScript, pCoord);
sqlite3_snprintf(sizeof(aPtr)-1, aPtr, "%p", (void*)p);
Tcl_ListObjAppendElement(interp, pScript, Tcl_NewStringObj(aPtr,-1));
rc = Tcl_EvalObjEx(interp, pScript, 0);
if( rc!=TCL_OK ){
rc = SQLITE_ERROR;
}else{
Tcl_Size nObj = 0;
Tcl_Obj **aObj = 0;
pRes = Tcl_GetObjResult(interp);
if( Tcl_ListObjGetElements(interp, pRes, &nObj, &aObj) ) return TCL_ERROR;
if( nObj>0 ){
const char *zCmd = Tcl_GetString(aObj[0]);
if( 0==sqlite3_stricmp(zCmd, "zero") ){
p->aParam[0] = 0.0;
p->nParam = 1;
}
else if( 0==sqlite3_stricmp(zCmd, "user") ){
if( p->pUser || p->xDelUser ){
rc = SQLITE_ERROR;
}else{
BoxGeomCtx *pBGCtx = sqlite3_malloc(sizeof(BoxGeomCtx));
if( pBGCtx==0 ){
rc = SQLITE_NOMEM;
}else{
pBGCtx->interp = interp;
pBGCtx->pScript = Tcl_DuplicateObj(pRes);
Tcl_IncrRefCount(pBGCtx->pScript);
Tcl_ListObjReplace(interp, pBGCtx->pScript, 0, 1, 0, 0);
p->pUser = (void*)pBGCtx;
p->xDelUser = testDelUser;
}
}
}
else if( 0==sqlite3_stricmp(zCmd, "user_is_zero") ){
if( p->pUser || p->xDelUser ) rc = SQLITE_ERROR;
}
}
}
}
return rc;
}
/*
# EVIDENCE-OF: R-00693-36727 The legacy xGeom callback is invoked with
# four arguments.
# EVIDENCE-OF: R-50437-53270 The first argument is a pointer to an
# sqlite3_rtree_geometry structure which provides information about how
# the SQL function was invoked.
# EVIDENCE-OF: R-00090-24248 The third argument, aCoord[], is an array
# of nCoord coordinates that defines a bounding box to be tested.
# EVIDENCE-OF: R-28207-40885 The last argument is a pointer into which
# the callback result should be written.
*/
static int box_geom(
sqlite3_rtree_geometry *p, /* R-50437-53270 */
int nCoord, /* R-02424-24769 */
sqlite3_rtree_dbl *aCoord, /* R-00090-24248 */
int *pRes /* R-28207-40885 */
){
int ii;
if( p->nParam!=nCoord ){
invokeTclGeomCb("box", p, nCoord, aCoord);
return SQLITE_ERROR;
}
if( invokeTclGeomCb("box", p, nCoord, aCoord) ) return SQLITE_ERROR;
for(ii=0; ii<nCoord; ii+=2){
if( aCoord[ii]>p->aParam[ii+1] || aCoord[ii+1]<p->aParam[ii] ){
/* R-28207-40885 */
*pRes = 0;
return SQLITE_OK;
}
}
/* R-28207-40885 */
*pRes = 1;
return SQLITE_OK;
}
static int SQLITE_TCLAPI register_box_geom(
void * clientData,
Tcl_Interp *interp,
int objc,
Tcl_Obj *CONST objv[]
){
extern int getDbPointer(Tcl_Interp*, const char*, sqlite3**);
extern const char *sqlite3ErrName(int);
sqlite3 *db;
BoxGeomCtx *pCtx;
char aPtr[64];
if( objc!=3 ){
Tcl_WrongNumArgs(interp, 1, objv, "DB SCRIPT");
return TCL_ERROR;
}
if( getDbPointer(interp, Tcl_GetString(objv[1]), &db) ) return TCL_ERROR;
pCtx = (BoxGeomCtx*)ckalloc(sizeof(BoxGeomCtx*));
pCtx->interp = interp;
pCtx->pScript = Tcl_DuplicateObj(objv[2]);
Tcl_IncrRefCount(pCtx->pScript);
sqlite3_rtree_geometry_callback(db, "box", box_geom, (void*)pCtx);
sqlite3_snprintf(64, aPtr, "%p", (void*)pCtx);
Tcl_SetObjResult(interp, Tcl_NewStringObj(aPtr, -1));
return TCL_OK;
}
static int box_query(sqlite3_rtree_query_info *pInfo){
const char *azParentWithin[] = {"not", "partly", "fully", 0};
BoxQueryCtx *pCtx = (BoxQueryCtx*)pInfo->pContext;
Tcl_Interp *interp = pCtx->interp;
Tcl_Obj *pEval;
Tcl_Obj *pArg;
Tcl_Obj *pTmp = 0;
int rc;
int ii;
pEval = Tcl_DuplicateObj(pCtx->pScript);
Tcl_IncrRefCount(pEval);
pArg = Tcl_NewObj();
Tcl_IncrRefCount(pArg);
/* aParam[] */
pTmp = Tcl_NewObj();
Tcl_IncrRefCount(pTmp);
for(ii=0; ii<pInfo->nParam; ii++){
Tcl_Obj *p = Tcl_NewDoubleObj(pInfo->aParam[ii]);
Tcl_ListObjAppendElement(interp, pTmp, p);
}
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("aParam", -1));
Tcl_ListObjAppendElement(interp, pArg, pTmp);
Tcl_DecrRefCount(pTmp);
/* aCoord[] */
pTmp = Tcl_NewObj();
Tcl_IncrRefCount(pTmp);
for(ii=0; ii<pInfo->nCoord; ii++){
Tcl_Obj *p = Tcl_NewDoubleObj(pInfo->aCoord[ii]);
Tcl_ListObjAppendElement(interp, pTmp, p);
}
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("aCoord", -1));
Tcl_ListObjAppendElement(interp, pArg, pTmp);
Tcl_DecrRefCount(pTmp);
/* anQueue[] */
pTmp = Tcl_NewObj();
Tcl_IncrRefCount(pTmp);
for(ii=0; ii<=pInfo->mxLevel; ii++){
Tcl_Obj *p = Tcl_NewIntObj((int)pInfo->anQueue[ii]);
Tcl_ListObjAppendElement(interp, pTmp, p);
}
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("anQueue", -1));
Tcl_ListObjAppendElement(interp, pArg, pTmp);
Tcl_DecrRefCount(pTmp);
/* iLevel */
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("iLevel", -1));
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewIntObj(pInfo->iLevel));
/* mxLevel */
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("mxLevel", -1));
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewIntObj(pInfo->mxLevel));
/* iRowid */
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("iRowid", -1));
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewWideIntObj(pInfo->iRowid));
/* rParentScore */
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("rParentScore", -1));
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewDoubleObj(pInfo->rParentScore));
/* eParentWithin */
assert( pInfo->eParentWithin==0
|| pInfo->eParentWithin==1
|| pInfo->eParentWithin==2
);
Tcl_ListObjAppendElement(interp, pArg, Tcl_NewStringObj("eParentWithin", -1));
Tcl_ListObjAppendElement(interp, pArg,
Tcl_NewStringObj(azParentWithin[pInfo->eParentWithin], -1)
);
Tcl_ListObjAppendElement(interp, pEval, pArg);
rc = Tcl_EvalObjEx(interp, pEval, 0) ? SQLITE_ERROR : SQLITE_OK;
if( rc==SQLITE_OK ){
double rScore = 0.0;
Tcl_Size nObj = 0;
int eP = 0;
Tcl_Obj **aObj = 0;
Tcl_Obj *pRes = Tcl_GetObjResult(interp);
if( Tcl_ListObjGetElements(interp, pRes, &nObj, &aObj)
|| nObj!=2
|| Tcl_GetDoubleFromObj(interp, aObj[1], &rScore)
|| Tcl_GetIndexFromObj(interp, aObj[0], azParentWithin, "value", 0, &eP)
){
rc = SQLITE_ERROR;
}else{
pInfo->rScore = rScore;
pInfo->eParentWithin = eP;
}
}
Tcl_DecrRefCount(pArg);
Tcl_DecrRefCount(pEval);
return rc;
}
static void box_query_destroy(void *p){
BoxQueryCtx *pCtx = (BoxQueryCtx*)p;
Tcl_DecrRefCount(pCtx->pScript);
ckfree((char*)pCtx);
}
static int SQLITE_TCLAPI register_box_query(
void * clientData,
Tcl_Interp *interp,
int objc,
Tcl_Obj *CONST objv[]
){
extern int getDbPointer(Tcl_Interp*, const char*, sqlite3**);
extern const char *sqlite3ErrName(int);
sqlite3 *db;
BoxQueryCtx *pCtx;
if( objc!=3 ){
Tcl_WrongNumArgs(interp, 1, objv, "DB SCRIPT");
return TCL_ERROR;
}
if( getDbPointer(interp, Tcl_GetString(objv[1]), &db) ) return TCL_ERROR;
pCtx = (BoxQueryCtx*)ckalloc(sizeof(BoxQueryCtx));
pCtx->interp = interp;
pCtx->pScript = Tcl_DuplicateObj(objv[2]);
Tcl_IncrRefCount(pCtx->pScript);
sqlite3_rtree_query_callback(
db, "qbox", box_query, (void*)pCtx, box_query_destroy
);
Tcl_ResetResult(interp);
return TCL_OK;
}
#endif /* SQLITE_ENABLE_RTREE */
int Sqlitetestrtreedoc_Init(Tcl_Interp *interp){
#ifdef SQLITE_ENABLE_RTREE
Tcl_CreateObjCommand(interp, "register_box_geom", register_box_geom, 0, 0);
Tcl_CreateObjCommand(interp, "register_box_query", register_box_query, 0, 0);
#endif /* SQLITE_ENABLE_RTREE */
return TCL_OK;
}
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# 2008 Sep 08
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# The focus of this file is testing that ticket #3363 is fixed.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree {
finish_test
return
}
do_test tkt3363.1.1 {
execsql { CREATE VIRTUAL TABLE t1 USING rtree(ii, x1, x2, y1, y2) }
} {}
do_test tkt3363.1.2 {
for {set ii 1} {$ii < 50} {incr ii} {
set x 1000000
set y [expr 4000000 + $ii*10]
execsql { INSERT INTO t1 VALUES($ii, $x, $x, $y, $y) }
}
} {}
do_test tkt3363.1.3 {
execsql {
SELECT count(*) FROM t1 WHERE +y2>4000425.0;
}
} {7}
do_test tkt3363.1.4 {
execsql {
SELECT count(*) FROM t1 WHERE y2>4000425.0;
}
} {7}
finish_test
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#!/usr/bin/tclsh
#
# This script generates a cluster of random polygons that are useful
# for testing the geopoly extension.
#
# Usage:
#
# tclsh randomshape.tcl | tee x.sql | sqlite3 >x.html
#
# The output files are x.sql and x.html. Run the above multiple times
# until an interesting "x.html" file is found, then use the "x.sql" inputs
# to construct test cases.
#
proc randomenclosure {cx cy p1 p2 p3 p4} {
set r 0
set pi 3.145926
set pi2 [expr {$pi*2}]
set x0 [expr {$cx + rand()*$p3 + $p4}]
set ans "\[\[$x0,$cy\]"
while {1} {
set r [expr {$r+$p1+$p2*rand()}]
if {$r>=$pi2} break
set m [expr {rand()*$p3 + $p4}]
set x [expr {$cx+$m*cos($r)}]
set y [expr {$cy+$m*sin($r)}]
append ans ",\[$x,$y\]"
}
append ans ",\[$x0,$cy\]\]"
return $ans
}
proc randomshape1 {} {
set cx [expr {100+int(rand()*800)}]
set cy [expr {100+int(rand()*600)}]
set p1 [expr {rand()*0.1}]
set p2 [expr {rand()*0.5+0.5}]
set p3 [expr {rand()*100+25}]
set p4 [expr {rand()*25}]
return [randomenclosure $cx $cy $p1 $p2 $p3 $p4]
}
proc randomshape1_sm {} {
set cx [expr {100+int(rand()*800)}]
set cy [expr {100+int(rand()*600)}]
set p1 [expr {rand()*0.1}]
set p2 [expr {rand()*0.5+0.5}]
set p3 [expr {rand()*10+25}]
set p4 [expr {rand()*5}]
return [randomenclosure $cx $cy $p1 $p2 $p3 $p4]
}
proc randomshape2 {} {
set cx [expr {400+int(rand()*200)}]
set cy [expr {300+int(rand()*200)}]
set p1 [expr {rand()*0.05}]
set p2 [expr {rand()*0.5+0.5}]
set p3 [expr {rand()*50+200}]
set p4 [expr {rand()*50+100}]
return [randomenclosure $cx $cy $p1 $p2 $p3 $p4]
}
proc randomcolor {} {
set n [expr {int(rand()*5)}]
return [lindex {red orange green blue purple} $n]
}
puts {.print '<html>'}
puts {.print '<svg width="1000" height="800" style="border:1px solid black">'}
puts {CREATE TABLE t1(poly,clr);}
puts {CREATE TABLE t2(poly,clr);}
for {set i 0} {$i<30} {incr i} {
puts "INSERT INTO t1(rowid,poly,clr)"
puts " VALUES($i,'[randomshape1]','[randomcolor]');"
}
for {set i 30} {$i<80} {incr i} {
puts "INSERT INTO t1(rowid,poly,clr)"
puts " VALUES($i,'[randomshape1_sm]','[randomcolor]');"
}
for {set i 100} {$i<105} {incr i} {
puts "INSERT INTO t2(rowid,poly,clr)"
puts " VALUES($i,'[randomshape2]','[randomcolor]');"
}
puts {DELETE FROM t1 WHERE geopoly_json(poly) IS NULL;}
puts {SELECT geopoly_svg(poly,
printf('style="fill:none;stroke:%s;stroke-width:1;"',clr))
FROM t1;}
puts {SELECT geopoly_svg(poly,
printf('style="fill:none;stroke:%s;stroke-width:2;"',clr))
FROM t2;}
puts {.print '<svg>'}
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load ./libsqlite3.dylib
#package require sqlite3
source [file join [file dirname $argv0] rtree_util.tcl]
wm title . "SQLite r-tree viewer"
if {[llength $argv]!=1} {
puts stderr "Usage: $argv0 <database-file>"
puts stderr ""
exit
}
sqlite3 db [lindex $argv 0]
canvas .c -background white -width 400 -height 300 -highlightthickness 0
button .b -text "Parent Node" -command {
set sql "SELECT parentnode FROM $::O(zTab)_parent WHERE nodeno = $::O(iNode)"
set ::O(iNode) [db one $sql]
if {$::O(iNode) eq ""} {set ::O(iNode) 1}
view_node
}
set O(iNode) 1
set O(zTab) ""
set O(listbox_captions) [list]
set O(listbox_itemmap) [list]
set O(listbox_highlight) -1
listbox .l -listvariable ::O(listbox_captions) -yscrollcommand {.ls set}
scrollbar .ls -command {.l yview}
label .status -font courier -anchor w
label .title -anchor w -text "Node 1:" -background white -borderwidth 0
set rtree_tables [list]
db eval {
SELECT name
FROM sqlite_master
WHERE type='table' AND sql LIKE '%virtual%table%using%rtree%'
} {
set nCol [expr [llength [db eval "pragma table_info($name)"]]/6]
if {$nCol != 5} {
puts stderr "Not viewing $name - is not 2-dimensional"
} else {
lappend rtree_tables [list Table $name]
}
}
if {$rtree_tables eq ""} {
puts stderr "Cannot find an r-tree table in database [lindex $argv 0]"
puts stderr ""
exit
}
eval tk_optionMenu .select option_var $rtree_tables
trace add variable option_var write set_option_var
proc set_option_var {args} {
set ::O(zTab) [lindex $::option_var 1]
set ::O(iNode) 1
view_node
}
set ::O(zTab) [lindex $::rtree_tables 0 1]
bind .l <1> {listbox_click [.l nearest %y]}
bind .l <Motion> {listbox_mouseover [.l nearest %y]}
bind .l <Leave> {listbox_mouseover -1}
proc listbox_click {sel} {
if {$sel ne ""} {
set ::O(iNode) [lindex $::O(listbox_captions) $sel 1]
view_node
}
}
proc listbox_mouseover {i} {
set oldid [lindex $::O(listbox_itemmap) $::O(listbox_highlight)]
.c itemconfigure $oldid -fill ""
.l selection clear 0 end
.status configure -text ""
if {$i>=0} {
set id [lindex $::O(listbox_itemmap) $i]
.c itemconfigure $id -fill grey
.c lower $id
set ::O(listbox_highlight) $i
.l selection set $i
.status configure -text [cell_report db $::O(zTab) $::O(iNode) $i]
}
}
grid configure .select -row 0 -column 0 -columnspan 2 -sticky nsew
grid configure .b -row 1 -column 0 -columnspan 2 -sticky nsew
grid configure .l -row 2 -column 0 -sticky nsew
grid configure .status -row 3 -column 0 -columnspan 3 -sticky nsew
grid configure .title -row 0 -column 2 -sticky nsew
grid configure .c -row 1 -column 2 -rowspan 2 -sticky nsew
grid configure .ls -row 2 -column 1 -sticky nsew
grid columnconfigure . 2 -weight 1
grid rowconfigure . 2 -weight 1
proc node_bbox {data} {
set xmin 0
set xmax 0
set ymin 0
set ymax 0
foreach {rowid xmin xmax ymin ymax} [lindex $data 0] break
foreach cell [lrange $data 1 end] {
foreach {rowid x1 x2 y1 y2} $cell break
if {$x1 < $xmin} {set xmin $x1}
if {$x2 > $xmax} {set xmax $x2}
if {$y1 < $ymin} {set ymin $y1}
if {$y2 > $ymax} {set ymax $y2}
}
list $xmin $xmax $ymin $ymax
}
proc view_node {} {
set iNode $::O(iNode)
set zTab $::O(zTab)
set data [rtree_node db $zTab $iNode 12]
set depth [rtree_nodedepth db $zTab $iNode]
.c delete all
set ::O(listbox_captions) [list]
set ::O(listbox_itemmap) [list]
set $::O(listbox_highlight) -1
.b configure -state normal
if {$iNode == 1} {.b configure -state disabled}
.title configure -text "Node $iNode: [cell_report db $zTab $iNode -1]"
foreach {xmin xmax ymin ymax} [node_bbox $data] break
set total_area 0.0
set xscale [expr {double([winfo width .c]-20)/($xmax-$xmin)}]
set yscale [expr {double([winfo height .c]-20)/($ymax-$ymin)}]
set xoff [expr {10.0 - $xmin*$xscale}]
set yoff [expr {10.0 - $ymin*$yscale}]
foreach cell $data {
foreach {rowid x1 x2 y1 y2} $cell break
set total_area [expr {$total_area + ($x2-$x1)*($y2-$y1)}]
set x1 [expr {$x1*$xscale + $xoff}]
set x2 [expr {$x2*$xscale + $xoff}]
set y1 [expr {$y1*$yscale + $yoff}]
set y2 [expr {$y2*$yscale + $yoff}]
set id [.c create rectangle $x1 $y1 $x2 $y2]
if {$depth>0} {
lappend ::O(listbox_captions) "Node $rowid"
lappend ::O(listbox_itemmap) $id
}
}
}
proc cell_report {db zTab iParent iCell} {
set data [rtree_node db $zTab $iParent 12]
set cell [lindex $data $iCell]
foreach {xmin xmax ymin ymax} [node_bbox $data] break
set total_area [expr ($xmax-$xmin)*($ymax-$ymin)]
if {$cell eq ""} {
set cell_area 0.0
foreach cell $data {
foreach {rowid x1 x2 y1 y2} $cell break
set cell_area [expr $cell_area+($x2-$x1)*($y2-$y1)]
}
set cell_area [expr $cell_area/[llength $data]]
set zReport [format "Size = %.1f x %.1f Average child area = %.1f%%" \
[expr $xmax-$xmin] [expr $ymax-$ymin] [expr 100.0*$cell_area/$total_area]\
]
append zReport " Sub-tree height: [rtree_nodedepth db $zTab $iParent]"
} else {
foreach {rowid x1 x2 y1 y2} $cell break
set cell_area [expr ($x2-$x1)*($y2-$y1)]
set zReport [format "Size = %.1f x %.1f Area = %.1f%%" \
[expr $x2-$x1] [expr $y2-$y1] [expr 100.0*$cell_area/$total_area]
]
}
return $zReport
}
view_node
bind .c <Configure> view_node
+602
View File
@@ -0,0 +1,602 @@
#!sqlite3
#
# This is a visual test case for the geopoly virtual table.
#
# Run this script in the sqlite3 CLI, and redirect output into an
# HTML file. This display the HTML in a webbrowser.
#
/* Test data.
** Lots of shapes to be displayed over a 1000x800 canvas.
*/
CREATE TEMP TABLE basis(name TEXT, jshape TEXT);
INSERT INTO basis(name,jshape) VALUES
('box-20','[[0,0],[20,0],[20,20],[0,20],[0,0]]'),
('house-70','[[0,0],[50,0],[50,50],[25,70],[0,50],[0,0]]'),
('line-40','[[0,0],[40,0],[40,5],[0,5],[0,0]]'),
('line-80','[[0,0],[80,0],[80,7],[0,7],[0,0]]'),
('arrow-50','[[0,0],[25,25],[0,50],[15,25],[0,0]]'),
('triangle-30','[[0,0],[30,0],[15,30],[0,0]]'),
('angle-30','[[0,0],[30,0],[30,30],[26,30],[26,4],[0,4],[0,0]]'),
('star-10','[[1,0],[5,2],[9,0],[7,4],[10,8],[7,7],[5,10],[3,7],[0,8],[3,4],[1,0]]');
CREATE TEMP TABLE xform(A,B,C,D,clr);
INSERT INTO xform(A,B,clr) VALUES
(1,0,'black'),
(0.707,0.707,'blue'),
(0.5,0.866,'red'),
(-0.866,0.5,'green');
CREATE TEMP TABLE xyoff(id1,id2,xoff,yoff,PRIMARY KEY(id1,id2,xoff,yoff))
WITHOUT ROWID;
INSERT INTO xyoff VALUES(1,1,811,659);
INSERT INTO xyoff VALUES(1,1,235,550);
INSERT INTO xyoff VALUES(1,1,481,620);
INSERT INTO xyoff VALUES(1,1,106,494);
INSERT INTO xyoff VALUES(1,1,487,106);
INSERT INTO xyoff VALUES(1,1,817,595);
INSERT INTO xyoff VALUES(1,1,240,504);
INSERT INTO xyoff VALUES(1,1,806,457);
INSERT INTO xyoff VALUES(1,1,608,107);
INSERT INTO xyoff VALUES(1,1,768,662);
INSERT INTO xyoff VALUES(1,2,808,528);
INSERT INTO xyoff VALUES(1,2,768,528);
INSERT INTO xyoff VALUES(1,2,771,171);
INSERT INTO xyoff VALUES(1,2,275,671);
INSERT INTO xyoff VALUES(1,2,326,336);
INSERT INTO xyoff VALUES(1,2,690,688);
INSERT INTO xyoff VALUES(1,2,597,239);
INSERT INTO xyoff VALUES(1,2,317,528);
INSERT INTO xyoff VALUES(1,2,366,223);
INSERT INTO xyoff VALUES(1,2,621,154);
INSERT INTO xyoff VALUES(1,3,829,469);
INSERT INTO xyoff VALUES(1,3,794,322);
INSERT INTO xyoff VALUES(1,3,358,387);
INSERT INTO xyoff VALUES(1,3,184,444);
INSERT INTO xyoff VALUES(1,3,729,500);
INSERT INTO xyoff VALUES(1,3,333,523);
INSERT INTO xyoff VALUES(1,3,117,595);
INSERT INTO xyoff VALUES(1,3,496,201);
INSERT INTO xyoff VALUES(1,3,818,601);
INSERT INTO xyoff VALUES(1,3,541,343);
INSERT INTO xyoff VALUES(1,4,603,248);
INSERT INTO xyoff VALUES(1,4,761,649);
INSERT INTO xyoff VALUES(1,4,611,181);
INSERT INTO xyoff VALUES(1,4,607,233);
INSERT INTO xyoff VALUES(1,4,860,206);
INSERT INTO xyoff VALUES(1,4,310,231);
INSERT INTO xyoff VALUES(1,4,727,539);
INSERT INTO xyoff VALUES(1,4,660,661);
INSERT INTO xyoff VALUES(1,4,403,133);
INSERT INTO xyoff VALUES(1,4,619,331);
INSERT INTO xyoff VALUES(2,1,712,578);
INSERT INTO xyoff VALUES(2,1,567,313);
INSERT INTO xyoff VALUES(2,1,231,423);
INSERT INTO xyoff VALUES(2,1,490,175);
INSERT INTO xyoff VALUES(2,1,898,353);
INSERT INTO xyoff VALUES(2,1,589,483);
INSERT INTO xyoff VALUES(2,1,188,462);
INSERT INTO xyoff VALUES(2,1,720,106);
INSERT INTO xyoff VALUES(2,1,793,380);
INSERT INTO xyoff VALUES(2,1,154,396);
INSERT INTO xyoff VALUES(2,2,324,218);
INSERT INTO xyoff VALUES(2,2,120,327);
INSERT INTO xyoff VALUES(2,2,655,133);
INSERT INTO xyoff VALUES(2,2,516,603);
INSERT INTO xyoff VALUES(2,2,529,572);
INSERT INTO xyoff VALUES(2,2,481,212);
INSERT INTO xyoff VALUES(2,2,802,107);
INSERT INTO xyoff VALUES(2,2,234,509);
INSERT INTO xyoff VALUES(2,2,501,269);
INSERT INTO xyoff VALUES(2,2,349,553);
INSERT INTO xyoff VALUES(2,3,495,685);
INSERT INTO xyoff VALUES(2,3,897,372);
INSERT INTO xyoff VALUES(2,3,350,681);
INSERT INTO xyoff VALUES(2,3,832,257);
INSERT INTO xyoff VALUES(2,3,778,149);
INSERT INTO xyoff VALUES(2,3,683,426);
INSERT INTO xyoff VALUES(2,3,693,217);
INSERT INTO xyoff VALUES(2,3,746,317);
INSERT INTO xyoff VALUES(2,3,805,369);
INSERT INTO xyoff VALUES(2,3,336,585);
INSERT INTO xyoff VALUES(2,4,890,255);
INSERT INTO xyoff VALUES(2,4,556,565);
INSERT INTO xyoff VALUES(2,4,865,555);
INSERT INTO xyoff VALUES(2,4,230,293);
INSERT INTO xyoff VALUES(2,4,247,251);
INSERT INTO xyoff VALUES(2,4,730,563);
INSERT INTO xyoff VALUES(2,4,318,282);
INSERT INTO xyoff VALUES(2,4,220,431);
INSERT INTO xyoff VALUES(2,4,828,336);
INSERT INTO xyoff VALUES(2,4,278,525);
INSERT INTO xyoff VALUES(3,1,324,656);
INSERT INTO xyoff VALUES(3,1,625,362);
INSERT INTO xyoff VALUES(3,1,155,570);
INSERT INTO xyoff VALUES(3,1,267,433);
INSERT INTO xyoff VALUES(3,1,599,121);
INSERT INTO xyoff VALUES(3,1,873,498);
INSERT INTO xyoff VALUES(3,1,789,520);
INSERT INTO xyoff VALUES(3,1,656,378);
INSERT INTO xyoff VALUES(3,1,831,601);
INSERT INTO xyoff VALUES(3,1,256,471);
INSERT INTO xyoff VALUES(3,2,332,258);
INSERT INTO xyoff VALUES(3,2,305,463);
INSERT INTO xyoff VALUES(3,2,796,341);
INSERT INTO xyoff VALUES(3,2,830,229);
INSERT INTO xyoff VALUES(3,2,413,271);
INSERT INTO xyoff VALUES(3,2,269,140);
INSERT INTO xyoff VALUES(3,2,628,441);
INSERT INTO xyoff VALUES(3,2,747,643);
INSERT INTO xyoff VALUES(3,2,584,435);
INSERT INTO xyoff VALUES(3,2,784,314);
INSERT INTO xyoff VALUES(3,3,722,233);
INSERT INTO xyoff VALUES(3,3,815,421);
INSERT INTO xyoff VALUES(3,3,401,267);
INSERT INTO xyoff VALUES(3,3,451,650);
INSERT INTO xyoff VALUES(3,3,329,485);
INSERT INTO xyoff VALUES(3,3,878,370);
INSERT INTO xyoff VALUES(3,3,162,616);
INSERT INTO xyoff VALUES(3,3,844,183);
INSERT INTO xyoff VALUES(3,3,161,216);
INSERT INTO xyoff VALUES(3,3,176,676);
INSERT INTO xyoff VALUES(3,4,780,128);
INSERT INTO xyoff VALUES(3,4,566,121);
INSERT INTO xyoff VALUES(3,4,646,120);
INSERT INTO xyoff VALUES(3,4,223,557);
INSERT INTO xyoff VALUES(3,4,251,117);
INSERT INTO xyoff VALUES(3,4,139,209);
INSERT INTO xyoff VALUES(3,4,813,597);
INSERT INTO xyoff VALUES(3,4,454,538);
INSERT INTO xyoff VALUES(3,4,616,198);
INSERT INTO xyoff VALUES(3,4,210,159);
INSERT INTO xyoff VALUES(4,1,208,415);
INSERT INTO xyoff VALUES(4,1,326,665);
INSERT INTO xyoff VALUES(4,1,612,133);
INSERT INTO xyoff VALUES(4,1,537,513);
INSERT INTO xyoff VALUES(4,1,638,438);
INSERT INTO xyoff VALUES(4,1,808,269);
INSERT INTO xyoff VALUES(4,1,552,121);
INSERT INTO xyoff VALUES(4,1,100,189);
INSERT INTO xyoff VALUES(4,1,643,664);
INSERT INTO xyoff VALUES(4,1,726,378);
INSERT INTO xyoff VALUES(4,2,478,409);
INSERT INTO xyoff VALUES(4,2,497,507);
INSERT INTO xyoff VALUES(4,2,233,148);
INSERT INTO xyoff VALUES(4,2,587,237);
INSERT INTO xyoff VALUES(4,2,604,166);
INSERT INTO xyoff VALUES(4,2,165,455);
INSERT INTO xyoff VALUES(4,2,320,258);
INSERT INTO xyoff VALUES(4,2,353,496);
INSERT INTO xyoff VALUES(4,2,347,495);
INSERT INTO xyoff VALUES(4,2,166,622);
INSERT INTO xyoff VALUES(4,3,461,332);
INSERT INTO xyoff VALUES(4,3,685,278);
INSERT INTO xyoff VALUES(4,3,427,594);
INSERT INTO xyoff VALUES(4,3,467,346);
INSERT INTO xyoff VALUES(4,3,125,548);
INSERT INTO xyoff VALUES(4,3,597,680);
INSERT INTO xyoff VALUES(4,3,820,445);
INSERT INTO xyoff VALUES(4,3,144,330);
INSERT INTO xyoff VALUES(4,3,557,434);
INSERT INTO xyoff VALUES(4,3,254,315);
INSERT INTO xyoff VALUES(4,4,157,339);
INSERT INTO xyoff VALUES(4,4,249,220);
INSERT INTO xyoff VALUES(4,4,391,323);
INSERT INTO xyoff VALUES(4,4,589,429);
INSERT INTO xyoff VALUES(4,4,859,592);
INSERT INTO xyoff VALUES(4,4,337,680);
INSERT INTO xyoff VALUES(4,4,410,288);
INSERT INTO xyoff VALUES(4,4,636,596);
INSERT INTO xyoff VALUES(4,4,734,433);
INSERT INTO xyoff VALUES(4,4,559,549);
INSERT INTO xyoff VALUES(5,1,549,607);
INSERT INTO xyoff VALUES(5,1,584,498);
INSERT INTO xyoff VALUES(5,1,699,116);
INSERT INTO xyoff VALUES(5,1,525,524);
INSERT INTO xyoff VALUES(5,1,304,667);
INSERT INTO xyoff VALUES(5,1,302,232);
INSERT INTO xyoff VALUES(5,1,403,149);
INSERT INTO xyoff VALUES(5,1,824,403);
INSERT INTO xyoff VALUES(5,1,697,203);
INSERT INTO xyoff VALUES(5,1,293,689);
INSERT INTO xyoff VALUES(5,2,199,275);
INSERT INTO xyoff VALUES(5,2,395,393);
INSERT INTO xyoff VALUES(5,2,657,642);
INSERT INTO xyoff VALUES(5,2,200,655);
INSERT INTO xyoff VALUES(5,2,882,234);
INSERT INTO xyoff VALUES(5,2,483,565);
INSERT INTO xyoff VALUES(5,2,755,640);
INSERT INTO xyoff VALUES(5,2,810,305);
INSERT INTO xyoff VALUES(5,2,731,655);
INSERT INTO xyoff VALUES(5,2,466,690);
INSERT INTO xyoff VALUES(5,3,563,584);
INSERT INTO xyoff VALUES(5,3,491,117);
INSERT INTO xyoff VALUES(5,3,779,292);
INSERT INTO xyoff VALUES(5,3,375,637);
INSERT INTO xyoff VALUES(5,3,253,553);
INSERT INTO xyoff VALUES(5,3,797,514);
INSERT INTO xyoff VALUES(5,3,229,480);
INSERT INTO xyoff VALUES(5,3,257,194);
INSERT INTO xyoff VALUES(5,3,449,555);
INSERT INTO xyoff VALUES(5,3,849,630);
INSERT INTO xyoff VALUES(5,4,329,286);
INSERT INTO xyoff VALUES(5,4,640,197);
INSERT INTO xyoff VALUES(5,4,104,150);
INSERT INTO xyoff VALUES(5,4,438,272);
INSERT INTO xyoff VALUES(5,4,773,226);
INSERT INTO xyoff VALUES(5,4,441,650);
INSERT INTO xyoff VALUES(5,4,242,340);
INSERT INTO xyoff VALUES(5,4,301,435);
INSERT INTO xyoff VALUES(5,4,171,397);
INSERT INTO xyoff VALUES(5,4,541,619);
INSERT INTO xyoff VALUES(6,1,651,301);
INSERT INTO xyoff VALUES(6,1,637,137);
INSERT INTO xyoff VALUES(6,1,765,643);
INSERT INTO xyoff VALUES(6,1,173,296);
INSERT INTO xyoff VALUES(6,1,263,192);
INSERT INTO xyoff VALUES(6,1,791,302);
INSERT INTO xyoff VALUES(6,1,860,601);
INSERT INTO xyoff VALUES(6,1,780,445);
INSERT INTO xyoff VALUES(6,1,462,214);
INSERT INTO xyoff VALUES(6,1,802,207);
INSERT INTO xyoff VALUES(6,2,811,685);
INSERT INTO xyoff VALUES(6,2,533,531);
INSERT INTO xyoff VALUES(6,2,390,614);
INSERT INTO xyoff VALUES(6,2,260,580);
INSERT INTO xyoff VALUES(6,2,116,377);
INSERT INTO xyoff VALUES(6,2,860,458);
INSERT INTO xyoff VALUES(6,2,438,590);
INSERT INTO xyoff VALUES(6,2,604,562);
INSERT INTO xyoff VALUES(6,2,241,242);
INSERT INTO xyoff VALUES(6,2,667,298);
INSERT INTO xyoff VALUES(6,3,787,698);
INSERT INTO xyoff VALUES(6,3,868,521);
INSERT INTO xyoff VALUES(6,3,412,587);
INSERT INTO xyoff VALUES(6,3,640,131);
INSERT INTO xyoff VALUES(6,3,748,410);
INSERT INTO xyoff VALUES(6,3,257,244);
INSERT INTO xyoff VALUES(6,3,411,195);
INSERT INTO xyoff VALUES(6,3,464,356);
INSERT INTO xyoff VALUES(6,3,157,339);
INSERT INTO xyoff VALUES(6,3,434,505);
INSERT INTO xyoff VALUES(6,4,480,671);
INSERT INTO xyoff VALUES(6,4,519,228);
INSERT INTO xyoff VALUES(6,4,404,513);
INSERT INTO xyoff VALUES(6,4,120,538);
INSERT INTO xyoff VALUES(6,4,403,663);
INSERT INTO xyoff VALUES(6,4,477,677);
INSERT INTO xyoff VALUES(6,4,690,154);
INSERT INTO xyoff VALUES(6,4,606,498);
INSERT INTO xyoff VALUES(6,4,430,665);
INSERT INTO xyoff VALUES(6,4,499,273);
INSERT INTO xyoff VALUES(7,1,118,526);
INSERT INTO xyoff VALUES(7,1,817,522);
INSERT INTO xyoff VALUES(7,1,388,638);
INSERT INTO xyoff VALUES(7,1,181,265);
INSERT INTO xyoff VALUES(7,1,442,332);
INSERT INTO xyoff VALUES(7,1,475,282);
INSERT INTO xyoff VALUES(7,1,722,633);
INSERT INTO xyoff VALUES(7,1,104,394);
INSERT INTO xyoff VALUES(7,1,631,262);
INSERT INTO xyoff VALUES(7,1,372,392);
INSERT INTO xyoff VALUES(7,2,600,413);
INSERT INTO xyoff VALUES(7,2,386,223);
INSERT INTO xyoff VALUES(7,2,839,174);
INSERT INTO xyoff VALUES(7,2,293,410);
INSERT INTO xyoff VALUES(7,2,281,391);
INSERT INTO xyoff VALUES(7,2,859,387);
INSERT INTO xyoff VALUES(7,2,478,347);
INSERT INTO xyoff VALUES(7,2,646,690);
INSERT INTO xyoff VALUES(7,2,713,234);
INSERT INTO xyoff VALUES(7,2,199,588);
INSERT INTO xyoff VALUES(7,3,389,256);
INSERT INTO xyoff VALUES(7,3,349,542);
INSERT INTO xyoff VALUES(7,3,363,345);
INSERT INTO xyoff VALUES(7,3,751,302);
INSERT INTO xyoff VALUES(7,3,423,386);
INSERT INTO xyoff VALUES(7,3,267,444);
INSERT INTO xyoff VALUES(7,3,243,182);
INSERT INTO xyoff VALUES(7,3,453,658);
INSERT INTO xyoff VALUES(7,3,126,345);
INSERT INTO xyoff VALUES(7,3,120,472);
INSERT INTO xyoff VALUES(7,4,359,654);
INSERT INTO xyoff VALUES(7,4,339,516);
INSERT INTO xyoff VALUES(7,4,710,452);
INSERT INTO xyoff VALUES(7,4,810,560);
INSERT INTO xyoff VALUES(7,4,644,692);
INSERT INTO xyoff VALUES(7,4,826,327);
INSERT INTO xyoff VALUES(7,4,465,462);
INSERT INTO xyoff VALUES(7,4,310,456);
INSERT INTO xyoff VALUES(7,4,577,613);
INSERT INTO xyoff VALUES(7,4,502,555);
INSERT INTO xyoff VALUES(8,1,601,620);
INSERT INTO xyoff VALUES(8,1,372,683);
INSERT INTO xyoff VALUES(8,1,758,399);
INSERT INTO xyoff VALUES(8,1,485,552);
INSERT INTO xyoff VALUES(8,1,159,563);
INSERT INTO xyoff VALUES(8,1,536,303);
INSERT INTO xyoff VALUES(8,1,122,263);
INSERT INTO xyoff VALUES(8,1,836,435);
INSERT INTO xyoff VALUES(8,1,544,146);
INSERT INTO xyoff VALUES(8,1,270,277);
INSERT INTO xyoff VALUES(8,2,849,281);
INSERT INTO xyoff VALUES(8,2,563,242);
INSERT INTO xyoff VALUES(8,2,704,463);
INSERT INTO xyoff VALUES(8,2,102,165);
INSERT INTO xyoff VALUES(8,2,797,524);
INSERT INTO xyoff VALUES(8,2,612,426);
INSERT INTO xyoff VALUES(8,2,345,372);
INSERT INTO xyoff VALUES(8,2,820,376);
INSERT INTO xyoff VALUES(8,2,789,156);
INSERT INTO xyoff VALUES(8,2,321,466);
INSERT INTO xyoff VALUES(8,3,150,332);
INSERT INTO xyoff VALUES(8,3,136,152);
INSERT INTO xyoff VALUES(8,3,468,528);
INSERT INTO xyoff VALUES(8,3,409,192);
INSERT INTO xyoff VALUES(8,3,820,216);
INSERT INTO xyoff VALUES(8,3,847,249);
INSERT INTO xyoff VALUES(8,3,801,267);
INSERT INTO xyoff VALUES(8,3,181,670);
INSERT INTO xyoff VALUES(8,3,398,563);
INSERT INTO xyoff VALUES(8,3,439,576);
INSERT INTO xyoff VALUES(8,4,123,309);
INSERT INTO xyoff VALUES(8,4,190,496);
INSERT INTO xyoff VALUES(8,4,571,531);
INSERT INTO xyoff VALUES(8,4,290,255);
INSERT INTO xyoff VALUES(8,4,244,412);
INSERT INTO xyoff VALUES(8,4,264,596);
INSERT INTO xyoff VALUES(8,4,253,420);
INSERT INTO xyoff VALUES(8,4,847,536);
INSERT INTO xyoff VALUES(8,4,120,288);
INSERT INTO xyoff VALUES(8,4,331,639);
/* Create the geopoly object from test data above */
CREATE VIRTUAL TABLE geo1 USING geopoly(type,clr);
INSERT INTO geo1(_shape,type,clr)
SELECT geopoly_xform(jshape,A,B,-B,A,xoff,yoff), basis.name, xform.clr
FROM basis, xform, xyoff
WHERE xyoff.id1=basis.rowid AND xyoff.id2=xform.rowid;
/* Query polygon */
CREATE TEMP TABLE querypoly(poly JSON, clr TEXT);
INSERT INTO querypoly(clr, poly) VALUES
('orange', '[[300,300],[400,350],[500,250],[480,500],[400,480],[300,550],[280,450],[320,400],[280,350],[300,300]]');
/* Generate the HTML */
.print '<html>'
.print '<h1>Everything</h1>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',clr)
)
FROM geo1;
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
.print '</svg>'
.print '<h1>Overlap Query</h1>'
.print '<pre>'
.print 'SELECT *'
.print ' FROM geo1, querypoly'
.print ' WHERE geopoly_overlap(_shape, poly);'
.print
EXPLAIN QUERY PLAN
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE geopoly_overlap(_shape, poly);
.print '</pre>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE geopoly_overlap(_shape, poly);
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
.print '</svg>'
.print '<h1>Overlap Query And Result Bounding Box</h1>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE geopoly_overlap(_shape, poly);
SELECT geopoly_svg(geopoly_bbox(poly),
'style="fill:none;stroke:black;stroke-width:3"'
)
FROM querypoly;
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
SELECT geopoly_svg(geopoly_group_bbox(_shape),
'style="fill:none;stroke:red;stroke-width:3"'
)
FROM geo1, querypoly
WHERE geopoly_overlap(_shape, poly);
.print '</svg>'
.print '<h1>Bounding-Box Overlap Query</h1>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
),
geopoly_svg(geopoly_bbox(_shape),
'style="fill:none;stroke:black;stroke-width:1"'
)
FROM geo1, querypoly
WHERE geopoly_overlap(geopoly_bbox(_shape), geopoly_bbox(poly));
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
SELECT geopoly_svg(geopoly_bbox(poly),
'style="fill:none;stroke:black;stroke-width:3"'
)
FROM querypoly;
.print '</svg>'
.print '<h1>Within Query</h1>'
.print '<pre>'
.print 'SELECT *'
.print ' FROM geo1, querypoly'
.print ' WHERE geopoly_within(_shape, poly);'
.print
EXPLAIN QUERY PLAN
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE geopoly_within(_shape, poly);
.print '</pre>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE geopoly_within(_shape, poly);
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
.print '</svg>'
.print '<h1>Bounding-Box WITHIN Query</h1>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
),
geopoly_svg(geopoly_bbox(_shape),
'style="fill:none;stroke:black;stroke-width:1"'
)
FROM geo1, querypoly
WHERE geopoly_within(geopoly_bbox(_shape), geopoly_bbox(poly));
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
SELECT geopoly_svg(geopoly_bbox(poly),
'style="fill:none;stroke:black;stroke-width:3"'
)
FROM querypoly;
.print '</svg>'
.print '<h1>Not Overlap Query</h1>'
.print '<pre>'
.print 'SELECT *'
.print ' FROM geo1, querypoly'
.print ' WHERE NOT geopoly_overlap(_shape, poly);'
.print
EXPLAIN QUERY PLAN
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE NOT geopoly_overlap(_shape, poly);
.print '</pre>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE NOT geopoly_overlap(_shape, poly);
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
.print '</svg>'
.print '<h1>Not Within Query</h1>'
.print '<pre>'
.print 'SELECT *'
.print ' FROM geo1, querypoly'
.print ' WHERE NOT geopoly_within(_shape, poly);'
.print
EXPLAIN QUERY PLAN
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE NOT geopoly_within(_shape, poly);
.print '</pre>'
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1, querypoly
WHERE NOT geopoly_within(_shape, poly);
SELECT geopoly_svg(poly,
printf('style="fill:%s;fill-opacity:0.5;"',clr)
)
FROM querypoly;
.print '</svg>'
.print '<h1>Color-Change For Overlapping Elements</h1>'
BEGIN;
UPDATE geo1
SET clr=CASE WHEN rowid IN (SELECT geo1.rowid FROM geo1, querypoly
WHERE geopoly_overlap(_shape,poly))
THEN 'red' ELSE 'blue' END;
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1;
SELECT geopoly_svg(poly,'style="fill:none;stroke:black;stroke-width:2"')
FROM querypoly;
ROLLBACK;
.print '</svg>'
.print '<h1>Color-Change And Move Overlapping Elements</h1>'
BEGIN;
UPDATE geo1
SET clr=CASE WHEN rowid IN (SELECT geo1.rowid FROM geo1, querypoly
WHERE geopoly_overlap(_shape,poly))
THEN 'red' ELSE '#76ccff' END;
UPDATE geo1
SET _shape=geopoly_xform(_shape,1,0,0,1,300,0)
WHERE geopoly_overlap(_shape,(SELECT poly FROM querypoly));
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1;
SELECT geopoly_svg(poly,'style="fill:none;stroke:black;stroke-width:2"')
FROM querypoly;
--ROLLBACK;
.print '</svg>'
.print '<h1>Overlap With Translated Query Polygon</h1>'
UPDATE querypoly SET poly=geopoly_xform(poly,1,0,0,1,300,0);
.print '<svg width="1000" height="800" style="border:1px solid black">'
SELECT geopoly_svg(_shape,
printf('style="fill:none;stroke:%s;stroke-width:1"',geo1.clr)
)
FROM geo1
WHERE geopoly_overlap(_shape,(SELECT poly FROM querypoly));
SELECT geopoly_svg(poly,'style="fill:none;stroke:black;stroke-width:2"')
FROM querypoly;
ROLLBACK;
.print '</svg>'
.print '<h1>Regular Polygons</h1>'
.print '<svg width="1000" height="200" style="border:1px solid black">'
SELECT geopoly_svg(geopoly_regular(100,100,40,3),'style="fill:none;stroke:red;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(200,100,40,4),'style="fill:none;stroke:orange;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(300,100,40,5),'style="fill:none;stroke:green;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(400,100,40,6),'style="fill:none;stroke:blue;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(500,100,40,7),'style="fill:none;stroke:purple;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(600,100,40,8),'style="fill:none;stroke:red;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(700,100,40,10),'style="fill:none;stroke:orange;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(800,100,40,20),'style="fill:none;stroke:green;stroke-width:1"');
SELECT geopoly_svg(geopoly_regular(900,100,40,30),'style="fill:none;stroke:blue;stroke-width:1"');
.print '</svg>'
.print '</html>'