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It is v for \"volatile\" functions, whose results might change at any time. (Use v also for functions with side-effects, so that calls to them cannot get optimized away.)","to":"provolatile tells whether the function's result depends only on its input arguments, or is affected by outside factors. It is i for “immutable” functions, which always deliver the same result for the same inputs. It is s for “stable” functions, whose results (for fixed inputs) do not change within a scan. It is v for “volatile” functions, whose results might change at any time. (Use v also for functions with side-effects, so that calls to them cannot get optimized away.)"}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":false},{"from":"10","to":"11","status":"changed","added_columns":[{"name":"prokind","type":"\"char\"","description":"f for a normal function, p for a procedure, a for an aggregate function, or w for a window function","documented_type":"char","hidden":false,"type_oid":18,"attnum":9,"type_modifier":-1,"array_dimensions":0,"not_null":true}],"removed_columns":[{"name":"proisagg","type":"boolean","description":"Function is an aggregate function","documented_type":"bool","hidden":false,"type_oid":16,"attnum":9,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"proiswindow","type":"boolean","description":"Function is a window function","documented_type":"bool","hidden":false,"type_oid":16,"attnum":10,"type_modifier":-1,"array_dimensions":0,"not_null":true}],"type_changes":[],"description_changes":[{"name":"protransform","from":"Calls to this function can be simplified by this other function (see Section 37.9.10)","to":"Calls to this function can be simplified by this other function (see Section 38.10.10)"}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"11","to":"12","status":"changed","added_columns":[{"name":"prosupport","type":"regproc","description":"Optional planner support function for this function (see Section 37.11)","references":"pg_proc.oid","hidden":false,"type_oid":24,"attnum":9,"type_modifier":-1,"array_dimensions":0,"not_null":true}],"removed_columns":[{"name":"protransform","type":"regproc","description":"Calls to this function can be simplified by this other function (see Section 38.10.10)","references":"pg_proc.oid","hidden":false,"type_oid":24,"attnum":8,"type_modifier":-1,"array_dimensions":0,"not_null":true}],"type_changes":[],"description_changes":[{"name":"oid","from":"Row identifier (hidden attribute; must be explicitly selected)","to":"Row identifier"},{"name":"proacl","from":"Access privileges; see GRANT and REVOKE for details","to":"Access privileges; see Section 5.7 for details"}],"reference_changes":[],"attribute_changes":[{"name":"oid","attribute":"hidden","from":true,"to":false}],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"12","to":"13","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"proallargtypes","from":"An array with the data types of the function arguments. 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This field will only be non-null for IP connections, and only when log_hostname is enabled.","source_url":"https://github.com/postgres/postgres/blob/REL9_1_24/src/backend/catalog/system_views.sql#L489","type_evidence":{"expression":"S.client_hostname","method":"sql_projection_and_function_signatures","function":"pg_stat_get_activity","function_source":"https://github.com/postgres/postgres/blob/REL9_1_24/src/include/catalog/pg_proc.h#L2547"},"description_source":{"version":"9.2","url":"https://www.postgresql.org/docs/9.2/monitoring-stats.html#PG-STAT-ACTIVITY-VIEW","method":"later_documentation_exact_column_name","note":"Explanation borrowed from later documentation; existence, order, and type come only from this version's source."},"hidden":false,"attnum":8,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[],"type_changes":[],"description_changes":[],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"9.1","to":"9.2","status":"changed","added_columns":[{"name":"pid","type":"integer","description":"Process ID of this backend","hidden":false,"type_oid":23,"attnum":3,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"state_change","type":"timestamp with time zone","description":"Time when the state was last changed","hidden":false,"type_oid":1184,"attnum":13,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"state","type":"text","description":"Current overall state of this backend. Possible values are: active: The backend is executing a query. idle: The backend is waiting for a new client command. idle in transaction: The backend is in a transaction, but is not currently executing a query. idle in transaction (aborted): This state is similar to idle in transaction, except one of the statements in the transaction caused an error. fastpath function call: The backend is executing a fast-path function. disabled: This state is reported if track_activities is disabled in this backend.","hidden":false,"type_oid":25,"attnum":15,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"query","type":"text","description":"Text of this backend's most recent query. If state is active this field shows the currently executing query. 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This field will only be non-null for IP connections, and only when log_hostname is enabled.","to":"Host name of the connected client, as reported by a reverse DNS lookup of client_addr. This field will only be non-null for IP connections, and only when log_hostname is enabled."},{"name":"query_start","from":"Time when the currently active query was started, or if state is not active , when the last query was started","to":"Time when the currently active query was started, or if state is not active, when the last query was started"}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"9.3","to":"9.4","status":"changed","added_columns":[{"name":"backend_xid","type":"xid","description":"Top-level transaction identifier of this backend, if any.","hidden":false,"type_oid":28,"attnum":16,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"backend_xmin","type":"xid","description":"The current backend's xmin horizon.","hidden":false,"type_oid":28,"attnum":17,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[],"type_changes":[],"description_changes":[],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"9.4","to":"9.5","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":false},{"from":"9.5","to":"9.6","status":"changed","added_columns":[{"name":"wait_event_type","type":"text","description":"The type of event for which the backend is waiting, if any; otherwise NULL. Possible values are: LWLockNamed: The backend is waiting for a specific named lightweight lock. Each such lock protects a particular data structure in shared memory. wait_event will contain the name of the lightweight lock. LWLockTranche: The backend is waiting for one of a group of related lightweight locks. All locks in the group perform a similar function; wait_event will identify the general purpose of locks in that group. Lock: The backend is waiting for a heavyweight lock. Heavyweight locks, also known as lock manager locks or simply locks, primarily protect SQL-visible objects such as tables. However, they are also used to ensure mutual exclusion for certain internal operations such as relation extension. wait_event will identify the type of lock awaited. BufferPin: The server process is waiting to access to a data buffer during a period when no other process can be examining that buffer. Buffer pin waits can be protracted if another process holds an open cursor which last read data from the buffer in question.","hidden":false,"type_oid":25,"attnum":14,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"wait_event","type":"text","description":"Wait event name if backend is currently waiting, otherwise NULL. See Table 28-4 for details.","hidden":false,"type_oid":25,"attnum":15,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[{"name":"waiting","type":"boolean","description":"True if this backend is currently waiting on a lock","hidden":false,"type_oid":16,"attnum":14,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"type_changes":[],"description_changes":[],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"9.6","to":"10","status":"changed","added_columns":[{"name":"backend_type","type":"text","description":"Type of current backend. Possible types are autovacuum launcher, autovacuum worker, background worker, background writer, client backend, checkpointer, startup, walreceiver, walsender and walwriter.","hidden":false,"type_oid":25,"attnum":20,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"backend_start","from":"Time when this process was started, i.e., when the client connected to the server","to":"Time when this process was started. For client backends, this is the time the client connected to the server."},{"name":"query","from":"Text of this backend's most recent query. If state is active this field shows the currently executing query. In all other states, it shows the last query that was executed.","to":"Text of this backend's most recent query. If state is active this field shows the currently executing query. In all other states, it shows the last query that was executed. By default the query text is truncated at 1024 bytes; this value can be changed via the parameter track_activity_query_size."},{"name":"wait_event","from":"Wait event name if backend is currently waiting, otherwise NULL. See Table 28-4 for details.","to":"Wait event name if backend is currently waiting, otherwise NULL. See Table 28.4 for details."},{"name":"wait_event_type","from":"The type of event for which the backend is waiting, if any; otherwise NULL. Possible values are: LWLockNamed: The backend is waiting for a specific named lightweight lock. Each such lock protects a particular data structure in shared memory. wait_event will contain the name of the lightweight lock. LWLockTranche: The backend is waiting for one of a group of related lightweight locks. All locks in the group perform a similar function; wait_event will identify the general purpose of locks in that group. Lock: The backend is waiting for a heavyweight lock. Heavyweight locks, also known as lock manager locks or simply locks, primarily protect SQL-visible objects such as tables. However, they are also used to ensure mutual exclusion for certain internal operations such as relation extension. wait_event will identify the type of lock awaited. BufferPin: The server process is waiting to access to a data buffer during a period when no other process can be examining that buffer. Buffer pin waits can be protracted if another process holds an open cursor which last read data from the buffer in question.","to":"The type of event for which the backend is waiting, if any; otherwise NULL. Possible values are: LWLock: The backend is waiting for a lightweight lock. Each such lock protects a particular data structure in shared memory. wait_event will contain a name identifying the purpose of the lightweight lock. (Some locks have specific names; others are part of a group of locks each with a similar purpose.) Lock: The backend is waiting for a heavyweight lock. Heavyweight locks, also known as lock manager locks or simply locks, primarily protect SQL-visible objects such as tables. However, they are also used to ensure mutual exclusion for certain internal operations such as relation extension. wait_event will identify the type of lock awaited. BufferPin: The server process is waiting to access to a data buffer during a period when no other process can be examining that buffer. Buffer pin waits can be protracted if another process holds an open cursor which last read data from the buffer in question. Activity: The server process is idle. This is used by system processes waiting for activity in their main processing loop. wait_event will identify the specific wait point. Extension: The server process is waiting for activity in an extension module. This category is useful for modules to track custom waiting points. Client: The server process is waiting for some activity on a socket from user applications, and that the server expects something to happen that is independent from its internal processes. wait_event will identify the specific wait point. IPC: The server process is waiting for some activity from another process in the server. wait_event will identify the specific wait point. Timeout: The server process is waiting for a timeout to expire. wait_event will identify the specific wait point. IO: The server process is waiting for a IO to complete. wait_event will identify the specific wait point."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"10","to":"11","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"backend_type","from":"Type of current backend. Possible types are autovacuum launcher, autovacuum worker, background worker, background writer, client backend, checkpointer, startup, walreceiver, walsender and walwriter.","to":"Type of current backend. Possible types are autovacuum launcher, autovacuum worker, logical replication launcher, logical replication worker, parallel worker, background writer, client backend, checkpointer, startup, walreceiver, walsender and walwriter. In addition, background workers registered by extensions may have additional types."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"11","to":"12","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"wait_event","from":"Wait event name if backend is currently waiting, otherwise NULL. See Table 28.4 for details.","to":"Wait event name if backend is currently waiting, otherwise NULL. See Table 27.4 for details."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":false},{"from":"12","to":"13","status":"changed","added_columns":[{"name":"leader_pid","type":"integer","description":"Process ID of the parallel group leader, if this process is a parallel query worker. NULL if this process is a parallel group leader or does not participate in parallel query.","hidden":false,"type_oid":23,"attnum":4,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"client_port","from":"TCP port number that the client is using for communication with this backend, or -1 if a Unix socket is used","to":"TCP port number that the client is using for communication with this backend, or -1 if a Unix socket is used. If this field is null, it indicates that this is an internal server process."},{"name":"state","from":"Current overall state of this backend. Possible values are: active: The backend is executing a query. idle: The backend is waiting for a new client command. idle in transaction: The backend is in a transaction, but is not currently executing a query. idle in transaction (aborted): This state is similar to idle in transaction, except one of the statements in the transaction caused an error. fastpath function call: The backend is executing a fast-path function. disabled: This state is reported if track_activities is disabled in this backend.","to":"Current overall state of this backend. Possible values are:"},{"name":"wait_event","from":"Wait event name if backend is currently waiting, otherwise NULL. See Table 27.4 for details.","to":"Wait event name if backend is currently waiting, otherwise NULL. See Table 27.5 through Table 27.13."},{"name":"wait_event_type","from":"The type of event for which the backend is waiting, if any; otherwise NULL. Possible values are: LWLock: The backend is waiting for a lightweight lock. Each such lock protects a particular data structure in shared memory. wait_event will contain a name identifying the purpose of the lightweight lock. (Some locks have specific names; others are part of a group of locks each with a similar purpose.) Lock: The backend is waiting for a heavyweight lock. Heavyweight locks, also known as lock manager locks or simply locks, primarily protect SQL-visible objects such as tables. However, they are also used to ensure mutual exclusion for certain internal operations such as relation extension. wait_event will identify the type of lock awaited. BufferPin: The server process is waiting to access to a data buffer during a period when no other process can be examining that buffer. Buffer pin waits can be protracted if another process holds an open cursor which last read data from the buffer in question. Activity: The server process is idle. This is used by system processes waiting for activity in their main processing loop. wait_event will identify the specific wait point. Extension: The server process is waiting for activity in an extension module. This category is useful for modules to track custom waiting points. Client: The server process is waiting for some activity on a socket from user applications, and that the server expects something to happen that is independent from its internal processes. wait_event will identify the specific wait point. IPC: The server process is waiting for some activity from another process in the server. wait_event will identify the specific wait point. Timeout: The server process is waiting for a timeout to expire. wait_event will identify the specific wait point. 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For example, a histogram slot would show the < operator that defines the sort order of the data.","references":"pg_operator.oid","documented_name":"staopN","schema_note":"Expanded documentation slot placeholder using the version-specific catalog header.","source_url":"https://raw.githubusercontent.com/postgres/postgres/REL9_2_24/src/include/catalog/pg_statistic.h","hidden":false,"type_oid":26,"attnum":16,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stanumbers5","type":"real[]","description":"Numerical statistics of the appropriate kind for the Nth \"slot\", or null if the slot kind does not involve numerical values","documented_name":"stanumbersN","schema_note":"Expanded documentation slot placeholder using the version-specific catalog header.","source_url":"https://raw.githubusercontent.com/postgres/postgres/REL9_2_24/src/include/catalog/pg_statistic.h","documented_type":"float4[]","hidden":false,"type_oid":1021,"attnum":21,"type_modifier":-1,"array_dimensions":1,"not_null":false},{"name":"stavalues5","type":"anyarray","description":"Column data values of the appropriate kind for the Nth \"slot\", or null if the slot kind does not store any data values. 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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."},{"name":"stavalues3","from":"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, so there is no way to define these columns' type more specifically than anyarray.","to":"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."},{"name":"stavalues4","from":"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, so there is no way to define these columns' type more specifically than anyarray.","to":"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."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":true},{"from":"9.6","to":"10","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"stakind1","from":"A code number indicating the kind of statistics stored in the Nth \"slot\" of the pg_statistic row.","to":"A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row."},{"name":"stakind2","from":"A code number indicating the kind of statistics stored in the Nth \"slot\" of the pg_statistic row.","to":"A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row."},{"name":"stakind3","from":"A code number indicating the kind of statistics stored in the Nth \"slot\" of the pg_statistic row.","to":"A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row."},{"name":"stakind4","from":"A code number indicating the kind of statistics stored in the Nth \"slot\" of the pg_statistic row.","to":"A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row."},{"name":"stakind5","from":"A code number indicating the kind of statistics stored in the Nth \"slot\" of the pg_statistic row.","to":"A code number indicating the kind of statistics stored in the Nth “slot” of the pg_statistic row."},{"name":"stanumbers1","from":"Numerical statistics of the appropriate kind for the Nth \"slot\", or null if the slot kind does not involve numerical values","to":"Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical values"},{"name":"stanumbers2","from":"Numerical statistics of the appropriate kind for the Nth \"slot\", or null if the slot kind does not involve numerical values","to":"Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical values"},{"name":"stanumbers3","from":"Numerical statistics of the appropriate kind for the Nth \"slot\", or null if the slot kind does not involve numerical values","to":"Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical values"},{"name":"stanumbers4","from":"Numerical statistics of the appropriate kind for the Nth \"slot\", or null if the slot kind does not involve numerical values","to":"Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical values"},{"name":"stanumbers5","from":"Numerical statistics of the appropriate kind for the Nth \"slot\", or null if the slot kind does not involve numerical values","to":"Numerical statistics of the appropriate kind for the Nth “slot”, or null if the slot kind does not involve numerical values"},{"name":"staop1","from":"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.","to":"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."},{"name":"staop2","from":"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.","to":"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."},{"name":"staop3","from":"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.","to":"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."},{"name":"staop4","from":"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.","to":"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."},{"name":"staop5","from":"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.","to":"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."},{"name":"stavalues1","from":"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.","to":"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."},{"name":"stavalues2","from":"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.","to":"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."},{"name":"stavalues3","from":"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.","to":"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."},{"name":"stavalues4","from":"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.","to":"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."},{"name":"stavalues5","from":"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.","to":"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."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":false},{"from":"11","to":"12","status":"changed","added_columns":[{"name":"stacoll1","type":"oid","description":"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.","references":"pg_collation.oid","documented_name":"stacollN","schema_note":"Expanded documentation slot placeholder using the version-specific catalog header.","source_url":"https://raw.githubusercontent.com/postgres/postgres/REL_12_22/src/include/catalog/pg_statistic.h","hidden":false,"type_oid":26,"attnum":17,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stacoll2","type":"oid","description":"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.","references":"pg_collation.oid","documented_name":"stacollN","schema_note":"Expanded documentation slot placeholder using the version-specific catalog header.","source_url":"https://raw.githubusercontent.com/postgres/postgres/REL_12_22/src/include/catalog/pg_statistic.h","hidden":false,"type_oid":26,"attnum":18,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stacoll3","type":"oid","description":"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. 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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."},{"name":"staop2","from":"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.","to":"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."},{"name":"staop3","from":"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.","to":"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. 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Zero if the statistics kind does not require an operator."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"14","to":"15","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"stainherit","from":"If true, the stats include inheritance child columns, not just the values in the specified relation","to":"If true, the stats include values from child tables, not just the values in the specified relation"}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":true,"column_order_changed":false,"structural":false}]},{"name":"pg_statistic_ext","changes":[{"from":"9.6","to":"10","status":"added","added_columns":[{"name":"oid","type":"oid","description":"Row identifier (hidden system attribute; explicitly select oid).","schema_note":"The documentation omits this OID attribute; verified from the release-tag CATALOG declaration.","source_url":"https://raw.githubusercontent.com/postgres/postgres/REL_10_23/src/include/catalog/pg_statistic_ext.h","hidden":true,"type_oid":26,"attnum":-2,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stxrelid","type":"oid","description":"Table containing the columns described by this object","references":"pg_class.oid","hidden":false,"type_oid":26,"attnum":1,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stxname","type":"name","description":"Name of the statistics object","hidden":false,"type_oid":19,"attnum":2,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stxnamespace","type":"oid","description":"The OID of the namespace that contains this statistics object","references":"pg_namespace.oid","hidden":false,"type_oid":26,"attnum":3,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stxowner","type":"oid","description":"Owner of the statistics object","references":"pg_authid.oid","hidden":false,"type_oid":26,"attnum":4,"type_modifier":-1,"array_dimensions":0,"not_null":true},{"name":"stxkeys","type":"int2vector","description":"An array of attribute numbers, indicating which table columns are covered by this statistics object; for example a value of 1 3 would mean that the first and the third table columns are covered","references":"pg_attribute.attnum","hidden":false,"type_oid":22,"attnum":5,"type_modifier":-1,"array_dimensions":1,"not_null":true},{"name":"stxkind","type":"\"char\"[]","description":"An array containing codes for the enabled statistics kinds; valid values are: d for n-distinct statistics, f for functional dependency statistics","documented_type":"char[]","hidden":false,"type_oid":1002,"attnum":6,"type_modifier":-1,"array_dimensions":1,"not_null":true},{"name":"stxndistinct","type":"pg_ndistinct","description":"N-distinct counts, serialized as pg_ndistinct type","hidden":false,"type_oid":3361,"attnum":7,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"stxdependencies","type":"pg_dependencies","description":"Functional dependency statistics, serialized as pg_dependencies type","hidden":false,"type_oid":3402,"attnum":8,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[],"type_changes":[],"description_changes":[],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":true},{"from":"11","to":"12","status":"changed","added_columns":[],"removed_columns":[{"name":"stxndistinct","type":"pg_ndistinct","description":"N-distinct counts, serialized as pg_ndistinct type","hidden":false,"type_oid":3361,"attnum":7,"type_modifier":-1,"array_dimensions":0,"not_null":false},{"name":"stxdependencies","type":"pg_dependencies","description":"Functional dependency statistics, serialized as pg_dependencies type","hidden":false,"type_oid":3402,"attnum":8,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"type_changes":[],"description_changes":[{"name":"oid","from":"Row identifier (hidden system attribute; explicitly select oid).","to":"Row identifier."},{"name":"stxkind","from":"An array containing codes for the enabled statistics kinds; valid values are: d for n-distinct statistics, f for functional dependency statistics","to":"An array containing codes for the enabled statistics kinds; valid values are: d for n-distinct statistics, f for functional dependency statistics, and m for most common values (MCV) list statistics"}],"reference_changes":[],"attribute_changes":[{"name":"oid","attribute":"hidden","from":true,"to":false}],"relation_description_changed":true,"column_order_changed":false,"structural":true},{"from":"12","to":"13","status":"changed","added_columns":[{"name":"stxstattarget","type":"integer","description":"stxstattarget controls the level of detail of statistics accumulated for this statistics object by ANALYZE. 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See also typrelid and typbasetype."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":true},{"from":"9.2","to":"9.3","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"oid","from":"Row identifier (hidden system attribute; explicitly select oid).","to":"Row identifier (hidden attribute; must be explicitly selected)"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 45-51.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 47-52."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"9.3","to":"9.4","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 47-52.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 48-53."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"9.4","to":"9.5","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 48-53.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 49-55."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"9.5","to":"9.6","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 49-55.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 50-56."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"9.6","to":"10","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typalign","from":"typalign is the alignment required when storing a value of this type. It applies to storage on disk as well as most representations of the value inside PostgreSQL. When multiple values are stored consecutively, such as in the representation of a complete row on disk, padding is inserted before a datum of this type so that it begins on the specified boundary. The alignment reference is the beginning of the first datum in the sequence. Possible values are: c = char alignment, i.e., no alignment needed. s = short alignment (2 bytes on most machines). i = int alignment (4 bytes on most machines). d = double alignment (8 bytes on many machines, but by no means all). Note: For types used in system tables, it is critical that the size and alignment defined in pg_type agree with the way that the compiler will lay out the column in a structure representing a table row.","to":"typalign is the alignment required when storing a value of this type. It applies to storage on disk as well as most representations of the value inside PostgreSQL. When multiple values are stored consecutively, such as in the representation of a complete row on disk, padding is inserted before a datum of this type so that it begins on the specified boundary. The alignment reference is the beginning of the first datum in the sequence. Possible values are: c = char alignment, i.e., no alignment needed. s = short alignment (2 bytes on most machines). i = int alignment (4 bytes on most machines). d = double alignment (8 bytes on many machines, but by no means all). Note For types used in system tables, it is critical that the size and alignment defined in pg_type agree with the way that the compiler will lay out the column in a structure representing a table row."},{"name":"typarray","from":"If typarray is not 0 then it identifies another row in pg_type, which is the \"true\" array type having this type as element","to":"If typarray is not 0 then it identifies another row in pg_type, which is the “true” array type having this type as element"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be \"preferred\". See Table 50-56.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.63."},{"name":"typelem","from":"If typelem is not 0 then it identifies another row in pg_type. The current type can then be subscripted like an array yielding values of type typelem. A \"true\" array type is variable length (typlen = -1), but some fixed-length (typlen > 0) types also have nonzero typelem, for example name and point. If a fixed-length type has a typelem then its internal representation must be some number of values of the typelem data type with no other data. Variable-length array types have a header defined by the array subroutines.","to":"If typelem is not 0 then it identifies another row in pg_type. The current type can then be subscripted like an array yielding values of type typelem. A “true” array type is variable length (typlen = -1), but some fixed-length (typlen > 0) types also have nonzero typelem, for example name and point. If a fixed-length type has a typelem then its internal representation must be some number of values of the typelem data type with no other data. Variable-length array types have a header defined by the array subroutines."},{"name":"typlen","from":"For a fixed-size type, typlen is the number of bytes in the internal representation of the type. But for a variable-length type, typlen is negative. -1 indicates a \"varlena\" type (one that has a length word), -2 indicates a null-terminated C string.","to":"For a fixed-size type, typlen is the number of bytes in the internal representation of the type. But for a variable-length type, typlen is negative. -1 indicates a “varlena” type (one that has a length word), -2 indicates a null-terminated C string."},{"name":"typstorage","from":"typstorage tells for varlena types (those with typlen = -1) if the type is prepared for toasting and what the default strategy for attributes of this type should be. Possible values are p: Value must always be stored plain. e: Value can be stored in a \"secondary\" relation (if relation has one, see pg_class.reltoastrelid). m: Value can be stored compressed inline. x: Value can be stored compressed inline or stored in \"secondary\" storage. Note that m columns can also be moved out to secondary storage, but only as a last resort (e and x columns are moved first).","to":"typstorage tells for varlena types (those with typlen = -1) if the type is prepared for toasting and what the default strategy for attributes of this type should be. Possible values are p: Value must always be stored plain. e: Value can be stored in a “secondary” relation (if relation has one, see pg_class.reltoastrelid). m: Value can be stored compressed inline. x: Value can be stored compressed inline or stored in “secondary” storage. Note that m columns can also be moved out to secondary storage, but only as a last resort (e and x columns are moved first)."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"10","to":"11","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.63.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.63."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"11","to":"12","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"oid","from":"Row identifier (hidden attribute; must be explicitly selected)","to":"Row identifier"},{"name":"typacl","from":"Access privileges; see GRANT and REVOKE for details","to":"Access privileges; see Section 5.7 for details"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.63.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.64."},{"name":"typcollation","from":"typcollation specifies the collation of the type. If the type does not support collations, this will be zero. A base type that supports collations will have DEFAULT_COLLATION_OID here. A domain over a collatable type can have some other collation OID, if one was specified for the domain.","to":"typcollation specifies the collation of the type. If the type does not support collations, this will be zero. A base type that supports collations will have a nonzero value here, typically DEFAULT_COLLATION_OID. A domain over a collatable type can have a collation OID different from its base type's, if one was specified for the domain."}],"reference_changes":[],"attribute_changes":[{"name":"oid","attribute":"hidden","from":true,"to":false}],"relation_description_changed":false,"column_order_changed":false,"structural":true},{"from":"12","to":"13","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typalign","from":"typalign is the alignment required when storing a value of this type. It applies to storage on disk as well as most representations of the value inside PostgreSQL. When multiple values are stored consecutively, such as in the representation of a complete row on disk, padding is inserted before a datum of this type so that it begins on the specified boundary. The alignment reference is the beginning of the first datum in the sequence. Possible values are: c = char alignment, i.e., no alignment needed. s = short alignment (2 bytes on most machines). i = int alignment (4 bytes on most machines). d = double alignment (8 bytes on many machines, but by no means all). Note For types used in system tables, it is critical that the size and alignment defined in pg_type agree with the way that the compiler will lay out the column in a structure representing a table row.","to":"typalign is the alignment required when storing a value of this type. It applies to storage on disk as well as most representations of the value inside PostgreSQL. When multiple values are stored consecutively, such as in the representation of a complete row on disk, padding is inserted before a datum of this type so that it begins on the specified boundary. The alignment reference is the beginning of the first datum in the sequence. Possible values are:"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.64.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.63."},{"name":"typstorage","from":"typstorage tells for varlena types (those with typlen = -1) if the type is prepared for toasting and what the default strategy for attributes of this type should be. Possible values are p: Value must always be stored plain. e: Value can be stored in a “secondary” relation (if relation has one, see pg_class.reltoastrelid). m: Value can be stored compressed inline. x: Value can be stored compressed inline or stored in “secondary” storage. Note that m columns can also be moved out to secondary storage, but only as a last resort (e and x columns are moved first).","to":"typstorage tells for varlena types (those with typlen = -1) if the type is prepared for toasting and what the default strategy for attributes of this type should be. Possible values are: x is the usual choice for toast-able types. Note that m values can also be moved out to secondary storage, but only as a last resort (e and x values are moved first)."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"13","to":"14","status":"changed","added_columns":[{"name":"typsubscript","type":"regproc","description":"Subscripting handler function's OID, or zero if this type doesn't support subscripting. Types that are “true” array types have typsubscript = array_subscript_handler, but other types may have other handler functions to implement specialized subscripting behavior.","references":"pg_proc.oid","hidden":false,"type_oid":24,"attnum":13,"type_modifier":-1,"array_dimensions":0,"not_null":true}],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typanalyze","from":"Custom ANALYZE function, or 0 to use the standard function","to":"Custom ANALYZE function, or zero to use the standard function"},{"name":"typarray","from":"If typarray is not 0 then it identifies another row in pg_type, which is the “true” array type having this type as element","to":"If typarray is not zero then it identifies another row in pg_type, which is the “true” array type having this type as element"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.63.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.63."},{"name":"typelem","from":"If typelem is not 0 then it identifies another row in pg_type. The current type can then be subscripted like an array yielding values of type typelem. A “true” array type is variable length (typlen = -1), but some fixed-length (typlen > 0) types also have nonzero typelem, for example name and point. If a fixed-length type has a typelem then its internal representation must be some number of values of the typelem data type with no other data. Variable-length array types have a header defined by the array subroutines.","to":"If typelem is not zero then it identifies another row in pg_type, defining the type yielded by subscripting. This should be zero if typsubscript is zero. However, it can be zero when typsubscript isn't zero, if the handler doesn't need typelem to determine the subscripting result type. Note that a typelem dependency is considered to imply physical containment of the element type in this type; so DDL changes on the element type might be restricted by the presence of this type."},{"name":"typmodin","from":"Type modifier input function, or 0 if type does not support modifiers","to":"Type modifier input function, or zero if type does not support modifiers"},{"name":"typmodout","from":"Type modifier output function, or 0 to use the standard format","to":"Type modifier output function, or zero to use the standard format"},{"name":"typreceive","from":"Input conversion function (binary format), or 0 if none","to":"Input conversion function (binary format), or zero if none"},{"name":"typsend","from":"Output conversion function (binary format), or 0 if none","to":"Output conversion function (binary format), or zero if none"},{"name":"typtype","from":"typtype is b for a base type, c for a composite type (e.g., a table's row type), d for a domain, e for an enum type, p for a pseudo-type, or r for a range type. See also typrelid and typbasetype.","to":"typtype is b for a base type, c for a composite type (e.g., a table's row type), d for a domain, e for an enum type, p for a pseudo-type, r for a range type, or m for a multirange type. See also typrelid and typbasetype."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":true},{"from":"14","to":"15","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.63.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 53.65."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"16","to":"17","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typacl","from":"Access privileges; see Section 5.7 for details","to":"Access privileges; see Section 5.8 for details"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 53.65.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.65."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"17","to":"18","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 51.65.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.65."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"18","to":"19","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"typacl","from":"Access privileges; see Section 5.8 for details","to":"Access privileges; see Section 5.9 for details"},{"name":"typcategory","from":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.65.","to":"typcategory is an arbitrary classification of data types that is used by the parser to determine which implicit casts should be “preferred”. See Table 52.70."}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false}]},{"name":"pg_user","changes":[{"from":"9.0","to":"9.1","status":"changed","added_columns":[{"name":"userepl","description":"User can initiate streaming replication and put the system in and out of backup mode.","description_source":{"version":"9.2","url":"https://www.postgresql.org/docs/9.2/view-pg-user.html","method":"later_documentation_exact_column_name","note":"Explanation from later documentation; existence and SQL type verified in this version by fresh initdb."},"schema_note":"The version documentation omits this field; restored from its exact-release runtime catalog.","type":"boolean","hidden":false,"type_oid":16,"attnum":6,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[],"type_changes":[],"description_changes":[],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":true},{"from":"9.1","to":"9.2","status":"changed","added_columns":[],"removed_columns":[],"type_changes":[],"description_changes":[{"name":"usesysid","from":"User ID (arbitrary number used to reference this user)","to":"ID of this user"}],"reference_changes":[],"attribute_changes":[],"relation_description_changed":false,"column_order_changed":false,"structural":false},{"from":"9.4","to":"9.5","status":"changed","added_columns":[{"name":"usebypassrls","type":"boolean","description":"User bypasses every row level security policy, see Section 5.7 for more information.","documented_type":"bool","hidden":false,"type_oid":16,"attnum":6,"type_modifier":-1,"array_dimensions":0,"not_null":false}],"removed_columns":[{"name":"usecatupd","type":"boolean","description":"User can update system catalogs. 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