Adding the sqlite sourcecode
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The files in this subdirectory are used to help measure the performance
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of the SQLite JSON functions, especially in relation to handling large
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JSON inputs.
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# 1.0 Prerequisites
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* Standard SQLite build environment (SQLite source tree, compiler, make, etc.)
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* Valgrind
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* Fossil (only the "fossil xdiff" command is used by this procedure)
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* tclsh
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# 2.0 Setup
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* Run: "`tclsh json-generator.tcl | sqlite3 json100mb.db`" to create
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the 100 megabyte test database. Do this so that the "json100mb.db"
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file lands in the directory from which you will run tests, not in
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the test/json subdirectory of the source tree.
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* Make a copy of "json100mb.db" into "jsonb100mb.db" - change the prefix
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from "json" to "jsonb".
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* Bring up jsonb100mb.db in the sqlite3 command-line shell.
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Convert all of the content into JSONB using a commands like this:
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> UPDATE data1 SET x=jsonb(x);
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> VACUUM;
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* Build the baseline sqlite3.c file with sqlite3.h and shell.c.
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> make clean sqlite3.c
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* Run "`sh json-speed-check.sh trunk`". This creates the baseline
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profile in "jout-trunk.txt" for the preformance test using text JSON.
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* Run "`sh json-speed-check.sh trunk --jsonb`". This creates the
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baseline profile in "joutb-trunk.txt" for the performance test
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for processing JSONB
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* (Optional) Verify that the json100mb.db database really does contain
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approximately 100MB of JSON content by running:
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> SELECT sum(length(x)) FROM data1;
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> SELECT * FROM data1 WHERE NOT json_valid(x);
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# 3.0 Testing
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* Build the sqlite3.c (with sqlite3.h and shell.c) to be tested.
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* Run "`sh json-speed-check.sh x1`". The profile output will appear
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in jout-x1.txt. Substitute any label you want in place of "x1".
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* Run "`sh json-speed-check.sh x1 --jsonb`". The profile output will appear
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in joutb-x1.txt. Substitute any label you want in place of "x1".
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* Run the script shown below in the CLI.
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Divide 2500 by the real elapse time from this test
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to get an estimate for number of MB/s that the JSON parser is
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able to process.
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> .open json100mb.db
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> .timer on
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> WITH RECURSIVE c(n) AS (VALUES(1) UNION ALL SELECT n+1 FROM c WHERE n<25)
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> SELECT sum(json_valid(x)) FROM c, data1;
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