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+<div class=nosearch>
+<div class="fancy_title">
+ANALYZE
+</div>
+</div>
+
+
+
+
+<h1 id="overview"><span>1. </span>Overview</h1>
+
+<p><b><a href="syntax/analyze-stmt.html">analyze-stmt:</a></b>
+<button id='x1333' onclick='hideorshow("x1333","x1334")'>hide</button></p>
+ <div id='x1334' class='imgcontainer'>
+ <div style="max-width:654px"><svg xmlns='http://www.w3.org/2000/svg' class="pikchr" viewBox="0 0 654.557 140.4">
+<circle cx="5" cy="17" r="3.6" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
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+<text x="79" y="17" text-anchor="middle" fill="rgb(0,0,0)" dominant-baseline="central">ANALYZE</text>
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+<text x="251" y="123" text-anchor="middle" fill="rgb(0,0,0)" dominant-baseline="central">schema-name</text>
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+<text x="481" y="123" text-anchor="middle" fill="rgb(0,0,0)" dominant-baseline="central">table-or-index-name</text>
+<polygon points="594,123 582,127 582,118" style="fill:rgb(0,0,0)"/>
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+<path d="M150,17L391,17" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
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+<path d="M314,47L588,47" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
+<path d="M594,47 L 601,47 Q 609,47 609,40 L 609,32" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
+<polygon points="188,85 176,89 176,81" style="fill:rgb(0,0,0)"/>
+<path d="M150,17 L 157,17 Q 165,17 165,32 L 165,70 Q 165,85 173,85 L 182,85" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
+<path d="M203,100L353,100A15 15 0 0 0 368 85A15 15 0 0 0 353 70L203,70A15 15 0 0 0 188 85A15 15 0 0 0 203 100Z" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
+<text x="278" y="85" text-anchor="middle" fill="rgb(0,0,0)" dominant-baseline="central">index-or-table-name</text>
+<polygon points="594,85 582,89 582,81" style="fill:rgb(0,0,0)"/>
+<path d="M368,85L588,85" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
+<path d="M594,85 L 601,85 Q 609,85 609,77 L 609,70" style="fill:none;stroke-width:2.16;stroke:rgb(0,0,0);" />
+</svg>
+</div>
+</div>
+
+
+<p> The ANALYZE command gathers statistics about tables and
+indices and stores the collected information
+in <a href="fileformat2.html#intschema">internal tables</a> of the database where the query optimizer can
+access the information and use it to help make better query planning choices.
+If no arguments are given, all attached databases are
+analyzed. If a schema name is given as the argument, then all tables
+and indices in that one database are analyzed.
+If the argument is a table name, then only that table and the
+indices associated with that table are analyzed. If the argument
+is an index name, then only that one index is analyzed.</p>
+
+<a name="req"></a>
+
+<h2 id="recommended_usage_pattern"><span>1.1. </span>Recommended usage pattern</h2>
+
+<p>Applications with long-lived databases that use complex
+queries should consider running the following commands just prior
+to closing each database connection:
+
+</p><div class="codeblock"><pre>PRAGMA analysis_limit=400;
+PRAGMA optimize;
+</pre></div>
+
+<p>The <a href="pragma.html#pragma_optimize">optimize pragma</a> is usually a no-op but it will occasionally
+run ANALYZE if it seems like doing so will be useful to the query planner.
+The <a href="pragma.html#pragma_analysis_limit">analysis_limit pragma</a> limits the scope of any ANALYZE command that
+the <a href="pragma.html#pragma_optimize">optimize pragma</a> runs so that it does not consume too many CPU cycles.
+The constant "400" can be adjusted as needed. Values between 100 and
+1000 work well for most applications.
+
+</p><h1 id="details"><span>2. </span>Details</h1>
+
+<p> The default implementation stores all statistics in a single
+table named "<a href="fileformat2.html#stat1tab">sqlite_stat1</a>".
+ If SQLite is compiled with the
+<a href="compile.html#enable_stat4">SQLITE_ENABLE_STAT4</a> option, then additional histogram data is
+collected and stored in <a href="fileformat2.html#stat4tab">sqlite_stat4</a>.
+Older versions of SQLite would make use of the <a href="fileformat2.html#stat2tab">sqlite_stat2</a> table
+or <a href="fileformat2.html#stat3tab">sqlite_stat3</a> table
+when compiled with <a href="compile.html#enable_stat2">SQLITE_ENABLE_STAT2</a> or <a href="compile.html#enable_stat3">SQLITE_ENABLE_STAT3</a>,
+but all recent versions of
+SQLite ignore the sqlite_stat2 and sqlite_stat3 tables.
+Future enhancements may create
+additional <a href="fileformat2.html#intschema">internal tables</a> with the same name pattern except with
+final digit larger than "4".
+All of these tables are collectively referred to as "statistics tables".
+</p>
+
+<p> The content of the statistics tables can be queried using <a href="lang_select.html">SELECT</a>
+and can be changed using the <a href="lang_delete.html">DELETE</a>, <a href="lang_insert.html">INSERT</a>, and <a href="lang_update.html">UPDATE</a> commands.
+The <a href="lang_droptable.html">DROP TABLE</a> command works on statistics tables
+as of SQLite version 3.7.9. (2011-11-01)
+The <a href="lang_altertable.html">ALTER TABLE</a> command does not work on statistics tables.
+Appropriate care should be used when changing the content of the statistics
+tables as invalid content can cause SQLite to select inefficient
+query plans. Generally speaking, one should not modify the content of
+the statistics tables by any mechanism other than invoking the
+ANALYZE command.
+See "<a href="optoverview.html#manctrl">Manual Control Of Query Plans Using SQLITE_STAT Tables</a>" for
+further information.</p>
+
+<p> Statistics gathered by ANALYZE are not automatically updated as
+the content of the database changes. If the content of the database
+changes significantly, or if the database schema changes, then one should
+consider rerunning the ANALYZE command in order to update the statistics.</p>
+
+<p> The query planner loads the content of the statistics tables
+into memory when the schema is read. Hence, when an application
+changes the statistics tables directly, SQLite will not immediately
+notice the changes. An application
+can force the query planner to reread the statistics tables by running
+<b>ANALYZE sqlite_schema</b>. </p>
+
+<a name="autoanalyze"></a>
+
+<h1 id="automatically_running_analyze"><span>3. </span>Automatically Running ANALYZE</h1>
+
+<p>The <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> command will automatically run ANALYZE on individual
+tables on an as-needed basis. The recommended practice is for applications
+to invoke the <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> statement just before closing each database
+connection.</p>
+
+<p>Each SQLite <a href="c3ref/sqlite3.html">database connection</a> records cases when the query planner would
+benefit from having accurate results of ANALYZE at hand. These records
+are held in memory and accumulate over the life of a database connection.
+The <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> command looks at those records and runs ANALYZE on only
+those tables for which new or updated ANALYZE data seems likely to be useful.
+In most cases <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> will not run ANALYZE, but it will occasionally
+do so either for tables that have never before been analyzed, or for tables
+that have grown significantly since they were last analyzed.</p>
+
+<p>Since the actions of <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> are determined to some extent by
+prior queries that have been evaluated on the same database connection, it
+is recommended that <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> be deferred until the database connection
+is closing and has thus had an opportunity to accumulate as much usage information
+as possible. It is also reasonable to set a timer to run <a href="pragma.html#pragma_optimize">PRAGMA optimize</a>
+every few hours, or every few days, for database connections that stay open
+for a long time.</p>
+
+<p>Applications that desire more control can run <a href="pragma.html#pragma_optimize">PRAGMA optimize(0x03)</a> to
+obtain a list of ANALYZE commands that SQLite thinks are appropriate to run,
+but without actually running those commands. If the returned set is
+non-empty, the application can then make a decision about whether or not
+to run the suggested ANALYZE commands, perhaps after prompting the user
+for guidance.</p>
+
+<p>The <a href="pragma.html#pragma_optimize">PRAGMA optimize</a> command was first introduced with
+SQLite 3.18.0 (2017-03-28) and is a no-op for all prior releases
+of SQLite.</p>
+
+<a name="approx"></a>
+
+<h1 id="approximate_analyze_for_large_databases"><span>4. </span>Approximate ANALYZE For Large Databases</h1>
+
+<p>By default, ANALYZE does a full scan of every index. This can be slow for
+large databases. So beginning with SQLite version 3.32.0 (2020-05-22), the
+<a href="pragma.html#pragma_analysis_limit">PRAGMA analysis_limit</a> command can be used to limit the amount of
+scanning performed by ANALYZE, and thus help ANALYZE to run faster,
+even on very large database files. We call this running an
+"approximate ANALYZE".
+
+</p><p>The recommended usage pattern for the <a href="pragma.html#pragma_analysis_limit">analysis_limit</a> pragma is
+like this:
+
+</p><div class="codeblock"><pre>PRAGMA analysis_limit=1000;
+</pre></div>
+
+<p>This pragma tells the ANALYZE command to start a full scan
+of the index as it normally would. But when the number of rows visited
+reaches 1000 (or whatever other limit is specified by the pragma), the
+ANALYZE command will begin taking actions to stop the scan. If
+the left-most column of the index has changed at least once during the
+previous 1000 steps, then the analysis stops immediately. But if the
+left-most column has always been the same, then ANALYZE skips ahead to
+the first entry with a different left-most column and reads an additional
+1000 rows before terminating.
+
+</p><p>The details of the effects of the analysis limit described in the previous
+paragraph are subject to change in future versions of SQLite. But the
+core idea will remain the same. An analysis limit of N will strive to
+limit the number of rows visited in each index to approximately N.
+
+</p><p>Values of N between 100 and 1000 are recommended.
+Or, to disable the analysis limit, causing ANALYZE to do a
+complete scan of each index, set the analysis limit to 0. The default
+value for the analysis limit is 0 for backwards compatibility.
+
+</p><p>The values placed in the sqlite_stat1 table by an approximate ANALYZE
+are not exactly the same as what would be computed by an unrestricted
+analysis. But they are usually close enough. The index statistics in
+the sqlite_stat1 table are approximations in any case, so the fact that
+the results of an approximate ANALYZE are slightly different from
+a traditional full scan ANALYZE has little practical impact. It is
+possible to construct a pathological case where an approximate ANALYZE
+is noticeably inferior to a full-scan ANALYZE, but such cases rare in
+real-world problems.
+
+</p><p>A good rule of thumb seems to be to always set "PRAGMA analysis_limit=N"
+for N between 100 and 1000 prior to running either "ANALYZE" or
+"<a href="pragma.html#pragma_optimize">PRAGMA optimize</a>". The results are not quite as precise, but they
+are precise enough, and the fact that the results are computed so much
+faster means that developers are more likely to compute them. An
+approximate ANALYZE is better than not running ANALYZE at all.
+
+</p><h2 id="limitations_of_approximate_analyze"><span>4.1. </span>Limitations of approximate ANALYZE</h2>
+
+<p>The content in the sqlite_stat4 table cannot be computed with
+anything less than a full scan. Hence, if a non-zero analysis limit
+is specified, the sqlite_stat4 table is not computed.
+</p><p align="center"><small><i>This page last modified on <a href="https://sqlite.org/docsrc/honeypot" id="mtimelink" data-href="https://sqlite.org/docsrc/finfo/pages/lang_analyze.in?m=85eb0dec08045a663">2020-06-18 21:18:56</a> UTC </small></i></p>
+