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pg_statistic

The catalog pg_statistic stores statistical data about the contents of the database. Entries are created by ANALYZE and subsequently used by the query planner. Note that all the statistical data is inherently approximate, even assuming that it is up-to-date. Normally there is one entry, with stainherit = false, for each table column that has been analyzed. If the table has inheritance children or partitions, a second entry with stainherit = true is also created. This row represents the column's statistics over the inheritance tree, i.e., statistics for the data you'd see with SELECT column FROM table*, whereas the stainherit = false row represents the results of SELECT column FROM ONLY table. pg_statistic also stores statistical data about the values of index expressions. These are described as if they were actual data columns; in particular, starelid references the index. No entry is made for an ordinary non-expression index column, however, since it would be redundant with the entry for the underlying table column. Currently, entries for index expressions always have stainherit = false. Since different kinds of statistics might be appropriate for different kinds of data, pg_statistic is designed not to assume very much about what sort of statistics it stores. Only extremely general statistics (such as nullness) are given dedicated columns in pg_statistic. Everything else is stored in “slots”, which are groups of associated columns whose content is identified by a code number in one of the slot's columns. For more information see src/include/catalog/pg_statistic.h. pg_statistic should not be readable by the public, since even statistical information about a table's contents might be considered sensitive. (Example: minimum and maximum values of a salary column might be quite interesting.) pg_stats is a publicly readable view on pg_statistic that only exposes information about those tables that are readable by the current user.

首次收录 PG 9.0最近收录 PG 19当前字段 31

已与 PostgreSQL 18.6 实例逐字段核对 · 原始实测记录 ↗

字段结构 PostgreSQL 18

pg_statistic
字段 / COLUMN类型 / TYPE说明 / DESCRIPTION
starelid oidNOT NULL The table or index that the described column belongs to引用:pg_class.oid
staattnum smallintNOT NULL文档原写法:int2 The number of the described column引用:pg_attribute.attnum
stainherit booleanNOT NULL文档原写法:bool If true, the stats include values from child tables, not just the values in the specified relation
stanullfrac realNOT NULL文档原写法:float4 The fraction of the column's entries that are null
stawidth integerNOT NULL文档原写法:int4 The average stored width, in bytes, of nonnull entries
stadistinct realNOT NULL文档原写法:float4 The number of distinct nonnull data values in the column. A value greater than zero is the actual number of distinct values. A value less than zero is the negative of a multiplier for the number of rows in the table; for example, a column in which about 80% of the values are nonnull and each nonnull value appears about twice on average could be represented by stadistinct = -0.4. A zero value means the number of distinct values is unknown.
stakind1文档名称:stakindN smallintNOT NULL文档原写法:int2 A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row.Expanded documentation slot placeholder using the version-specific catalog header.
stakind2文档名称:stakindN smallintNOT NULL文档原写法:int2 A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row.Expanded documentation slot placeholder using the version-specific catalog header.
stakind3文档名称:stakindN smallintNOT NULL文档原写法:int2 A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row.Expanded documentation slot placeholder using the version-specific catalog header.
stakind4文档名称:stakindN smallintNOT NULL文档原写法:int2 A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row.Expanded documentation slot placeholder using the version-specific catalog header.
stakind5文档名称:stakindN smallintNOT NULL文档原写法:int2 A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row.Expanded documentation slot placeholder using the version-specific catalog header.
staop1文档名称:staopN oidNOT NULL An operator used to derive the statistics stored in the Nth “slot”. For example, a histogram slot would show the < operator that defines the sort order of the data. Zero if the statistics kind does not require an operator.引用:pg_operator.oidExpanded documentation slot placeholder using the version-specific catalog header.
staop2文档名称:staopN oidNOT NULL An operator used to derive the statistics stored in the Nth “slot”. For example, a histogram slot would show the < operator that defines the sort order of the data. Zero if the statistics kind does not require an operator.引用:pg_operator.oidExpanded documentation slot placeholder using the version-specific catalog header.
staop3文档名称:staopN oidNOT NULL An operator used to derive the statistics stored in the Nth “slot”. For example, a histogram slot would show the < operator that defines the sort order of the data. Zero if the statistics kind does not require an operator.引用:pg_operator.oidExpanded documentation slot placeholder using the version-specific catalog header.
staop4文档名称:staopN oidNOT NULL An operator used to derive the statistics stored in the Nth “slot”. For example, a histogram slot would show the < operator that defines the sort order of the data. Zero if the statistics kind does not require an operator.引用:pg_operator.oidExpanded documentation slot placeholder using the version-specific catalog header.
staop5文档名称:staopN oidNOT NULL An operator used to derive the statistics stored in the Nth “slot”. For example, a histogram slot would show the < operator that defines the sort order of the data. Zero if the statistics kind does not require an operator.引用:pg_operator.oidExpanded documentation slot placeholder using the version-specific catalog header.
stacoll1文档名称:stacollN oidNOT NULL The collation used to derive the statistics stored in the Nth “slot”. For example, a histogram slot for a collatable column would show the collation that defines the sort order of the data. Zero for noncollatable data.引用:pg_collation.oidExpanded documentation slot placeholder using the version-specific catalog header.
stacoll2文档名称:stacollN oidNOT NULL The collation used to derive the statistics stored in the Nth “slot”. For example, a histogram slot for a collatable column would show the collation that defines the sort order of the data. Zero for noncollatable data.引用:pg_collation.oidExpanded documentation slot placeholder using the version-specific catalog header.
stacoll3文档名称:stacollN oidNOT NULL The collation used to derive the statistics stored in the Nth “slot”. For example, a histogram slot for a collatable column would show the collation that defines the sort order of the data. Zero for noncollatable data.引用:pg_collation.oidExpanded documentation slot placeholder using the version-specific catalog header.
stacoll4文档名称:stacollN oidNOT NULL The collation used to derive the statistics stored in the Nth “slot”. For example, a histogram slot for a collatable column would show the collation that defines the sort order of the data. Zero for noncollatable data.引用:pg_collation.oidExpanded documentation slot placeholder using the version-specific catalog header.
stacoll5文档名称:stacollN oidNOT NULL The collation used to derive the statistics stored in the Nth “slot”. For example, a histogram slot for a collatable column would show the collation that defines the sort order of the data. Zero for noncollatable data.引用:pg_collation.oidExpanded documentation slot placeholder using the version-specific catalog header.
stanumbers1文档名称:stanumbersN real[]文档原写法:float4[] Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical valuesExpanded documentation slot placeholder using the version-specific catalog header.
stanumbers2文档名称:stanumbersN real[]文档原写法:float4[] Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical valuesExpanded documentation slot placeholder using the version-specific catalog header.
stanumbers3文档名称:stanumbersN real[]文档原写法:float4[] Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical valuesExpanded documentation slot placeholder using the version-specific catalog header.
stanumbers4文档名称:stanumbersN real[]文档原写法:float4[] Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical valuesExpanded documentation slot placeholder using the version-specific catalog header.
stanumbers5文档名称:stanumbersN real[]文档原写法:float4[] Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical valuesExpanded documentation slot placeholder using the version-specific catalog header.
stavalues1文档名称:stavaluesN anyarray Column data values of the appropriate kind for the Nth “slot”, or null if the slot kind does not store any data values. Each array's element values are actually of the specific column's data type, or a related type such as an array's element type, so there is no way to define these columns' type more specifically than anyarray.Expanded documentation slot placeholder using the version-specific catalog header.
stavalues2文档名称:stavaluesN anyarray Column data values of the appropriate kind for the Nth “slot”, or null if the slot kind does not store any data values. Each array's element values are actually of the specific column's data type, or a related type such as an array's element type, so there is no way to define these columns' type more specifically than anyarray.Expanded documentation slot placeholder using the version-specific catalog header.
stavalues3文档名称:stavaluesN anyarray Column data values of the appropriate kind for the Nth “slot”, or null if the slot kind does not store any data values. Each array's element values are actually of the specific column's data type, or a related type such as an array's element type, so there is no way to define these columns' type more specifically than anyarray.Expanded documentation slot placeholder using the version-specific catalog header.
stavalues4文档名称:stavaluesN anyarray Column data values of the appropriate kind for the Nth “slot”, or null if the slot kind does not store any data values. Each array's element values are actually of the specific column's data type, or a related type such as an array's element type, so there is no way to define these columns' type more specifically than anyarray.Expanded documentation slot placeholder using the version-specific catalog header.
stavalues5文档名称:stavaluesN anyarray Column data values of the appropriate kind for the Nth “slot”, or null if the slot kind does not store any data values. Each array's element values are actually of the specific column's data type, or a related type such as an array's element type, so there is no way to define these columns' type more specifically than anyarray.Expanded documentation slot placeholder using the version-specific catalog header.

标记“隐式列”的字段不包含在 SELECT * 中;部分早期统计视图由同版本源码补全,额外来源会显示在字段说明中。

通用系统列 6

PostgreSQL 提供的系统属性,通常不在 SELECT * 中展开。单独保留,不与普通字段混算。

字段类型attnum
tableoidoid-6
cmaxcid-5
xmaxxid-4
cmincid-3
xminxid-2
ctidtid-1

字段演化矩阵

悬停查看字段类型
存在新增 / 类型或属性变化移除
字段 / COLUMN9.09.19.29.39.49.59.610111213141516171819
starelid
staattnum
stainherit
stanullfrac
stawidth
stadistinct
stakind1
stakind2
stakind3
stakind4
staop1
staop2
staop3
staop4
stanumbers1
stanumbers2
stanumbers3
stanumbers4
stavalues1
stavalues2
stavalues3
stavalues4
stakind5
staop5
stanumbers5
stavalues5
stacoll1
stacoll2
stacoll3
stacoll4
stacoll5

9.0 是收录基线;基线中已存在的字段不标记为新增。矩阵按字段名称对齐,重命名显示为旧字段移除与新字段新增。

演化时间线

相邻大版本的变化

PostgreSQL 15 ← 14

1 处字段说明更新目录说明更新

PostgreSQL 14 ← 13

5 处字段说明更新

PostgreSQL 12 ← 11

+ stacoll1+ stacoll2+ stacoll3+ stacoll4+ stacoll5

PostgreSQL 10 ← 9.6

20 处字段说明更新目录说明更新

PostgreSQL 9.2 ← 9.1

+ stakind5+ staop5+ stanumbers5+ stavalues54 处字段说明更新

PostgreSQL 9.1 ← 9.0

1 处字段说明更新

比较任意两个版本

选择两个版本,查看字段的新增、移除与类型变化。交互比较需要 JavaScript;演化时间线可直接阅读。