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diff --git a/doc/src/sgml/html/sql-createstatistics.html b/doc/src/sgml/html/sql-createstatistics.html new file mode 100644 index 0000000..c5d23c2 --- /dev/null +++ b/doc/src/sgml/html/sql-createstatistics.html @@ -0,0 +1,210 @@ +<?xml version="1.0" encoding="UTF-8" standalone="no"?> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>CREATE STATISTICS</title><link rel="stylesheet" type="text/css" href="stylesheet.css" /><link rev="made" href="pgsql-docs@lists.postgresql.org" /><meta name="generator" content="DocBook XSL Stylesheets Vsnapshot" /><link rel="prev" href="sql-createserver.html" title="CREATE SERVER" /><link rel="next" href="sql-createsubscription.html" title="CREATE SUBSCRIPTION" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">CREATE STATISTICS</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="sql-createserver.html" title="CREATE SERVER">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="sql-commands.html" title="SQL Commands">Up</a></td><th width="60%" align="center">SQL Commands</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 15.5 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="sql-createsubscription.html" title="CREATE SUBSCRIPTION">Next</a></td></tr></table><hr /></div><div class="refentry" id="SQL-CREATESTATISTICS"><div class="titlepage"></div><a id="id-1.9.3.83.1" class="indexterm"></a><div class="refnamediv"><h2><span class="refentrytitle">CREATE STATISTICS</span></h2><p>CREATE STATISTICS — define extended statistics</p></div><div class="refsynopsisdiv"><h2>Synopsis</h2><pre class="synopsis"> +CREATE STATISTICS [ IF NOT EXISTS ] <em class="replaceable"><code>statistics_name</code></em> + ON ( <em class="replaceable"><code>expression</code></em> ) + FROM <em class="replaceable"><code>table_name</code></em> + +CREATE STATISTICS [ IF NOT EXISTS ] <em class="replaceable"><code>statistics_name</code></em> + [ ( <em class="replaceable"><code>statistics_kind</code></em> [, ... ] ) ] + ON { <em class="replaceable"><code>column_name</code></em> | ( <em class="replaceable"><code>expression</code></em> ) }, { <em class="replaceable"><code>column_name</code></em> | ( <em class="replaceable"><code>expression</code></em> ) } [, ...] + FROM <em class="replaceable"><code>table_name</code></em> +</pre></div><div class="refsect1" id="SQL-CREATESTATISTICS-DESCRIPTION"><h2>Description</h2><p> + <code class="command">CREATE STATISTICS</code> will create a new extended statistics + object tracking data about the specified table, foreign table or + materialized view. The statistics object will be created in the current + database and will be owned by the user issuing the command. + </p><p> + The <code class="command">CREATE STATISTICS</code> command has two basic forms. The + first form allows univariate statistics for a single expression to be + collected, providing benefits similar to an expression index without the + overhead of index maintenance. This form does not allow the statistics + kind to be specified, since the various statistics kinds refer only to + multivariate statistics. The second form of the command allows + multivariate statistics on multiple columns and/or expressions to be + collected, optionally specifying which statistics kinds to include. This + form will also automatically cause univariate statistics to be collected on + any expressions included in the list. + </p><p> + If a schema name is given (for example, <code class="literal">CREATE STATISTICS + myschema.mystat ...</code>) then the statistics object is created in the + specified schema. Otherwise it is created in the current schema. + The name of the statistics object must be distinct from the name of any + other statistics object in the same schema. + </p></div><div class="refsect1" id="id-1.9.3.83.6"><h2>Parameters</h2><div class="variablelist"><dl class="variablelist"><dt><span class="term"><code class="literal">IF NOT EXISTS</code></span></dt><dd><p> + Do not throw an error if a statistics object with the same name already + exists. A notice is issued in this case. Note that only the name of + the statistics object is considered here, not the details of its + definition. + </p></dd><dt><span class="term"><em class="replaceable"><code>statistics_name</code></em></span></dt><dd><p> + The name (optionally schema-qualified) of the statistics object to be + created. + </p></dd><dt><span class="term"><em class="replaceable"><code>statistics_kind</code></em></span></dt><dd><p> + A multivariate statistics kind to be computed in this statistics object. + Currently supported kinds are + <code class="literal">ndistinct</code>, which enables n-distinct statistics, + <code class="literal">dependencies</code>, which enables functional + dependency statistics, and <code class="literal">mcv</code> which enables + most-common values lists. + If this clause is omitted, all supported statistics kinds are + included in the statistics object. Univariate expression statistics are + built automatically if the statistics definition includes any complex + expressions rather than just simple column references. + For more information, see <a class="xref" href="planner-stats.html#PLANNER-STATS-EXTENDED" title="14.2.2. Extended Statistics">Section 14.2.2</a> + and <a class="xref" href="multivariate-statistics-examples.html" title="75.2. Multivariate Statistics Examples">Section 75.2</a>. + </p></dd><dt><span class="term"><em class="replaceable"><code>column_name</code></em></span></dt><dd><p> + The name of a table column to be covered by the computed statistics. + This is only allowed when building multivariate statistics. At least + two column names or expressions must be specified, and their order is + not significant. + </p></dd><dt><span class="term"><em class="replaceable"><code>expression</code></em></span></dt><dd><p> + An expression to be covered by the computed statistics. This may be + used to build univariate statistics on a single expression, or as part + of a list of multiple column names and/or expressions to build + multivariate statistics. In the latter case, separate univariate + statistics are built automatically for each expression in the list. + </p></dd><dt><span class="term"><em class="replaceable"><code>table_name</code></em></span></dt><dd><p> + The name (optionally schema-qualified) of the table containing the + column(s) the statistics are computed on; see <a class="xref" href="sql-analyze.html" title="ANALYZE"><span class="refentrytitle">ANALYZE</span></a> for an explanation of the handling of + inheritance and partitions. + </p></dd></dl></div></div><div class="refsect1" id="id-1.9.3.83.7"><h2>Notes</h2><p> + You must be the owner of a table to create a statistics object + reading it. Once created, however, the ownership of the statistics + object is independent of the underlying table(s). + </p><p> + Expression statistics are per-expression and are similar to creating an + index on the expression, except that they avoid the overhead of index + maintenance. Expression statistics are built automatically for each + expression in the statistics object definition. + </p><p> + Extended statistics are not currently used by the planner for selectivity + estimations made for table joins. This limitation will likely be removed + in a future version of <span class="productname">PostgreSQL</span>. + </p></div><div class="refsect1" id="SQL-CREATESTATISTICS-EXAMPLES"><h2>Examples</h2><p> + Create table <code class="structname">t1</code> with two functionally dependent columns, i.e., + knowledge of a value in the first column is sufficient for determining the + value in the other column. Then functional dependency statistics are built + on those columns: + +</p><pre class="programlisting"> +CREATE TABLE t1 ( + a int, + b int +); + +INSERT INTO t1 SELECT i/100, i/500 + FROM generate_series(1,1000000) s(i); + +ANALYZE t1; + +-- the number of matching rows will be drastically underestimated: +EXPLAIN ANALYZE SELECT * FROM t1 WHERE (a = 1) AND (b = 0); + +CREATE STATISTICS s1 (dependencies) ON a, b FROM t1; + +ANALYZE t1; + +-- now the row count estimate is more accurate: +EXPLAIN ANALYZE SELECT * FROM t1 WHERE (a = 1) AND (b = 0); +</pre><p> + + Without functional-dependency statistics, the planner would assume + that the two <code class="literal">WHERE</code> conditions are independent, and would + multiply their selectivities together to arrive at a much-too-small + row count estimate. + With such statistics, the planner recognizes that the <code class="literal">WHERE</code> + conditions are redundant and does not underestimate the row count. + </p><p> + Create table <code class="structname">t2</code> with two perfectly correlated columns + (containing identical data), and an MCV list on those columns: + +</p><pre class="programlisting"> +CREATE TABLE t2 ( + a int, + b int +); + +INSERT INTO t2 SELECT mod(i,100), mod(i,100) + FROM generate_series(1,1000000) s(i); + +CREATE STATISTICS s2 (mcv) ON a, b FROM t2; + +ANALYZE t2; + +-- valid combination (found in MCV) +EXPLAIN ANALYZE SELECT * FROM t2 WHERE (a = 1) AND (b = 1); + +-- invalid combination (not found in MCV) +EXPLAIN ANALYZE SELECT * FROM t2 WHERE (a = 1) AND (b = 2); +</pre><p> + + The MCV list gives the planner more detailed information about the + specific values that commonly appear in the table, as well as an upper + bound on the selectivities of combinations of values that do not appear + in the table, allowing it to generate better estimates in both cases. + </p><p> + Create table <code class="structname">t3</code> with a single timestamp column, + and run queries using expressions on that column. Without extended + statistics, the planner has no information about the data distribution for + the expressions, and uses default estimates. The planner also does not + realize that the value of the date truncated to the month is fully + determined by the value of the date truncated to the day. Then expression + and ndistinct statistics are built on those two expressions: + +</p><pre class="programlisting"> +CREATE TABLE t3 ( + a timestamp +); + +INSERT INTO t3 SELECT i FROM generate_series('2020-01-01'::timestamp, + '2020-12-31'::timestamp, + '1 minute'::interval) s(i); + +ANALYZE t3; + +-- the number of matching rows will be drastically underestimated: +EXPLAIN ANALYZE SELECT * FROM t3 + WHERE date_trunc('month', a) = '2020-01-01'::timestamp; + +EXPLAIN ANALYZE SELECT * FROM t3 + WHERE date_trunc('day', a) BETWEEN '2020-01-01'::timestamp + AND '2020-06-30'::timestamp; + +EXPLAIN ANALYZE SELECT date_trunc('month', a), date_trunc('day', a) + FROM t3 GROUP BY 1, 2; + +-- build ndistinct statistics on the pair of expressions (per-expression +-- statistics are built automatically) +CREATE STATISTICS s3 (ndistinct) ON date_trunc('month', a), date_trunc('day', a) FROM t3; + +ANALYZE t3; + +-- now the row count estimates are more accurate: +EXPLAIN ANALYZE SELECT * FROM t3 + WHERE date_trunc('month', a) = '2020-01-01'::timestamp; + +EXPLAIN ANALYZE SELECT * FROM t3 + WHERE date_trunc('day', a) BETWEEN '2020-01-01'::timestamp + AND '2020-06-30'::timestamp; + +EXPLAIN ANALYZE SELECT date_trunc('month', a), date_trunc('day', a) + FROM t3 GROUP BY 1, 2; +</pre><p> + + Without expression and ndistinct statistics, the planner has no information + about the number of distinct values for the expressions, and has to rely + on default estimates. The equality and range conditions are assumed to have + 0.5% selectivity, and the number of distinct values in the expression is + assumed to be the same as for the column (i.e. unique). This results in a + significant underestimate of the row count in the first two queries. Moreover, + the planner has no information about the relationship between the expressions, + so it assumes the two <code class="literal">WHERE</code> and <code class="literal">GROUP BY</code> + conditions are independent, and multiplies their selectivities together to + arrive at a severe overestimate of the group count in the aggregate query. + This is further exacerbated by the lack of accurate statistics for the + expressions, forcing the planner to use a default ndistinct estimate for the + expression derived from ndistinct for the column. With such statistics, the + planner recognizes that the conditions are correlated, and arrives at much + more accurate estimates. + </p></div><div class="refsect1" id="id-1.9.3.83.9"><h2>Compatibility</h2><p> + There is no <code class="command">CREATE STATISTICS</code> command in the SQL standard. + </p></div><div class="refsect1" id="id-1.9.3.83.10"><h2>See Also</h2><span class="simplelist"><a class="xref" href="sql-alterstatistics.html" title="ALTER STATISTICS"><span class="refentrytitle">ALTER STATISTICS</span></a>, <a class="xref" href="sql-dropstatistics.html" title="DROP STATISTICS"><span class="refentrytitle">DROP STATISTICS</span></a></span></div></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="sql-createserver.html" title="CREATE SERVER">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="sql-commands.html" title="SQL Commands">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="sql-createsubscription.html" title="CREATE SUBSCRIPTION">Next</a></td></tr><tr><td width="40%" align="left" valign="top">CREATE SERVER </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 15.5 Documentation">Home</a></td><td width="40%" align="right" valign="top"> CREATE SUBSCRIPTION</td></tr></table></div></body></html>
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