## SQLite Expert Extension
This folder contains code for a simple system to propose useful indexes
given a database and a set of SQL queries. It works as follows:
1. The user database schema is copied to a temporary database.
1. All SQL queries are prepared against the temporary database.
Information regarding the WHERE and ORDER BY clauses, and other query
features that affect index selection are recorded.
1. The information gathered in step 2 is used to create candidate
indexes - indexes that the planner might have made use of in the previous
step, had they been available.
1. A subset of the data in the user database is used to generate statistics
for all existing indexes and the candidate indexes generated in step 3
1. The SQL queries are prepared a second time. If the planner uses any
of the indexes created in step 3, they are recommended to the user.
# C API
The SQLite expert C API is defined in sqlite3expert.h. Most uses will proceed
1. An sqlite3expert object is created by calling **sqlite3\_expert\_new()**.
A database handle opened by the user is passed as an argument.
1. The sqlite3expert object is configured with one or more SQL statements
by making one or more calls to **sqlite3\_expert\_sql()**. Each call may
specify a single SQL statement, or multiple statements separated by
1. Optionally, the **sqlite3\_expert\_config()** API may be used to
configure the size of the data subset used to generate index statistics.
Using a smaller subset of the data can speed up the analysis.
1. **sqlite3\_expert\_analyze()** is called to run the analysis.
1. One or more calls are made to **sqlite3\_expert\_report()** to extract
components of the results of the analysis.
1. **sqlite3\_expert\_destroy()** is called to free all resources.
Refer to comments in sqlite3expert.h for further details.
# sqlite3_expert application
The file "expert.c" contains the code for a command line application that
uses the API described above. It can be compiled with (for example):
gcc -O2 sqlite3.c expert.c sqlite3expert.c -o sqlite3_expert
Assuming the database is named "test.db", it can then be run to analyze a
./sqlite3_expert -sql <sql-query> test.db
Or an entire text file worth of queries with:
./sqlite3_expert -file <text-file> test.db
By default, sqlite3\_expert generates index statistics using all the data in
the user database. For a large database, this may be prohibitively time
consuming. The "-sample" option may be used to configure sqlite3\_expert to
generate statistics based on an integer percentage of the user database as
# Generate statistics based on 25% of the user database rows:
./sqlite3_expert -sample 25 -sql <sql-query> test.db
# Do not generate any statistics at all:
./sqlite3_expert -sample 0 -sql <sql-query> test.db