.. _benchmarking: Benchmarking ============ Before you do any benchmarking with APSW or other ways of accessing SQLite, you must understand how and when SQLite does transactions. See `transaction control `_. **APSW does not alter SQLite's behaviour with transactions.** Some access layers try to interpret your SQL and manage transactions behind your back, which may or may not work well with SQLite also doing its own transactions. You should always manage your transactions yourself. For example to insert 1,000 rows wrap it in a single transaction, otherwise you will have 1,000 transactions, one per row. A spinning hard drive can't do more than 60 transactions per second. .. _speedtest: speedtest --------- APSW includes a speed tester to compare SQLite performance across different versions of SQLite, different host systems (hard drives and controllers matter) as well as between sqlite3 and APSW. The underlying queries are based on `SQLite's speed test `_. .. speedtest-begin .. code-block:: text $ python3 -m apsw.speedtest --help usage: apsw.speedtest [-h] [--apsw] [--sqlite3] [--correctness] [--scale SCALE] [--database DATABASE] [--tests TESTS] [--iterations N] [--tests-detail] [--dump-sql FILENAME] [--sc-size N] [--unicode UNICODE] [--data-size SIZE] [--hide-runs] [--vfs VFS] [--sqlite-cache SQLITE_CACHE_MB] Tests performance of apsw and sqlite3 packages options: -h, --help show this help message and exit --apsw Include apsw in testing [False] --sqlite3 Include sqlite3 module in testing [False] --correctness Do a correctness test --scale SCALE How many statements to execute. Each 5 units takes about 1 second per test on memory only databases. [10] --database DATABASE The database file to use [:memory:] --tests TESTS What tests to run [bigstmt,statements,statements_nobindings] --iterations N How many times to run the tests [4] --tests-detail Print details of what the tests do. (Does not run the tests) --dump-sql FILENAME Name of file to dump SQL to. This is useful for feeding into the SQLite command line shell. --sc-size N Size of the statement cache. [128] --unicode UNICODE Percentage of text that is non-ascii unicode characters [0] --data-size SIZE Duplicate the ~50 byte text column value up to this many times (amount randomly selected per row) --hide-runs Don't show the individual iteration timings, only final summary --vfs VFS Use the named vfs. 'passthru' creates a dummy APSW vfs. You need to provide a real database filename otherwise the memory vfs is used. --sqlite-cache SQLITE_CACHE_MB Size of the SQLite in memory cache in megabytes. Working data outside of this size causes disk I/O. [2] $ python3 -m apsw.speedtest --tests-detail bigstmt: Supplies the SQL as a single string consisting of multiple statements. apsw handles this normally via cursor.execute while sqlite3 requires that cursor.executescript is called. The string will be several kilobytes and with a scale of 50 will be in the megabyte range. This is the kind of query you would run if you were restoring a database from a dump. (Note that sqlite3 silently ignores returned data which also makes it execute faster). statements: Runs the SQL queries but uses bindings (? parameters). eg:: for i in range(3): cursor.execute("insert into table foo values(?)", (i,)) This test has many hits of the statement cache. statements_nobindings: Runs the SQL queries but doesn't use bindings. eg:: cursor.execute("insert into table foo values(0)") cursor.execute("insert into table foo values(1)") cursor.execute("insert into table foo values(2)") This test has no statement cache hits and shows the overhead of having a statement cache. In theory all the tests above should run in almost identical time as well as when using the SQLite command line shell. This tool shows you what happens in practise. .. speedtest-end