Postgresql 中文操作指南

28.2. The Cumulative Statistics System #

PostgreSQL 的 cumulative statistics system 支持收集和报告有关服务器活动的信息。当前，以磁盘块和单个行两种形式统计对表和索引的访问。每个表中的总行数，以及有关表中每个表vacuum 和分析操作的信息也输入统计。如果启用，对用户定义函数的调用以及在每个函数中花费的总时间也会被统计。

PostgreSQL’s cumulative statistics system supports collection and reporting of information about server activity. Presently, accesses to tables and indexes in both disk-block and individual-row terms are counted. The total number of rows in each table, and information about vacuum and analyze actions for each table are also counted. If enabled, calls to user-defined functions and the total time spent in each one are counted as well.

PostgreSQL 还支持报告有关系统当前正在发生的事情的动态信息，例如其他服务器进程当前正在执行的确切命令，以及系统中存在的其他连接。此功能独立于累积统计系统。

PostgreSQL also supports reporting dynamic information about exactly what is going on in the system right now, such as the exact command currently being executed by other server processes, and which other connections exist in the system. This facility is independent of the cumulative statistics system.

28.2.1. Statistics Collection Configuration #

由于统计信息的收集会给查询执行增加一些开销，因此可以将系统配置为收集或不收集信息。这由通常在 postgresql.conf 中设置的配置参数控制。（有关设置配置参数的详细信息，请参阅 Chapter 20。）

Since collection of statistics adds some overhead to query execution, the system can be configured to collect or not collect information. This is controlled by configuration parameters that are normally set in postgresql.conf. (See Chapter 20 for details about setting configuration parameters.)

参数 track_activities 启用对任何服务器进程正在执行的当前命令的监视。

The parameter track_activities enables monitoring of the current command being executed by any server process.

参数 track_counts 控制是否收集有关表和索引访问的累积统计信息。

The parameter track_counts controls whether cumulative statistics are collected about table and index accesses.

参数 track_functions 启用对用户定义函数使用情况的跟踪。

The parameter track_functions enables tracking of usage of user-defined functions.

参数 track_io_timing 启用对块读取和写入时间的监视。

The parameter track_io_timing enables monitoring of block read and write times.

参数 track_wal_io_timing 启用对 WAL 写入时间的监视。

The parameter track_wal_io_timing enables monitoring of WAL write times.

通常，这些参数设置在 postgresql.conf 中，这样它们就适用于所有服务器进程，但是可以使用 SET 命令在各个会话中打开或关闭它们。（为了防止普通用户向管理员隐藏他们的活动，只有超级用户才能使用 SET 更改这些参数。）

Normally these parameters are set in postgresql.conf so that they apply to all server processes, but it is possible to turn them on or off in individual sessions using the SET command. (To prevent ordinary users from hiding their activity from the administrator, only superusers are allowed to change these parameters with SET.)

累积统计信息收集在共享内存中。每个 PostgreSQL 进程在本地收集统计信息，然后在适当的时间间隔内更新共享数据。当服务器（包括物理备用）正常关闭时，统计数据的一个永久副本将存储在 pg_stat 子目录中，以便统计信息可以在各个服务器重启之间保留。相反，当从 unclean shutdown（例如，在 immediate shutdown、服务器故障、从 base backup 启动和 point-in-time 恢复之后）启动时，所有统计信息计数器都会重置。

Cumulative statistics are collected in shared memory. Every PostgreSQL process collects statistics locally, then updates the shared data at appropriate intervals. When a server, including a physical replica, shuts down cleanly, a permanent copy of the statistics data is stored in the pg_stat subdirectory, so that statistics can be retained across server restarts. In contrast, when starting from an unclean shutdown (e.g., after an immediate shutdown, a server crash, starting from a base backup, and point-in-time recovery), all statistics counters are reset.

28.2.2. Viewing Statistics #

Table 28.1 中列出的几个预定义视图可用于显示系统的当前状态。还可以查看 Table 28.2 中列出的几个其他视图以显示累积的统计信息。或者，可以使用 Section 28.2.25 中讨论的基本累积统计信息函数构建自定义视图。

Several predefined views, listed in Table 28.1, are available to show the current state of the system. There are also several other views, listed in Table 28.2, available to show the accumulated statistics. Alternatively, one can build custom views using the underlying cumulative statistics functions, as discussed in Section 28.2.25.

在使用累积统计信息视图和函数来监控收集的数据时，意识到该信息不会立即更新非常重要。每个单独的服务器进程都会在进入闲置状态之前将累积的统计信息刷新到共享内存中，但不会超过每 PGSTAT_MIN_INTERVAL 毫秒一次（在构建服务器时未更改，则为 1 秒）；所以进行中查询或事务不影响显示的总计信息，且显示的信息滞后于实际活动。但是，track_activities 收集的当前查询信息始终是最新的。

When using the cumulative statistics views and functions to monitor collected data, it is important to realize that the information does not update instantaneously. Each individual server process flushes out accumulated statistics to shared memory just before going idle, but not more frequently than once per PGSTAT_MIN_INTERVAL milliseconds (1 second unless altered while building the server); so a query or transaction still in progress does not affect the displayed totals and the displayed information lags behind actual activity. However, current-query information collected by track_activities is always up-to-date.

另一个重要的一点是，当要求服务器进程显示任何累积统计信息时，在默认配置中，访问的值会被缓存，直至其当前事务结束为止。因此，只要您继续当前事务，统计信息就会显示静态信息。同样，当在事务中首次请求任何此类信息时，会收集有关所有会话的当前查询的信息，并且将在整个事务中显示相同的信息。这是一个特性，而不是一个 bug，因为它允许您对统计信息执行多个查询，并在无需担心下方数字会发生变化的情况下关联结果。在交互式分析统计信息或使用昂贵查询分析统计信息时，访问各个统计信息之间的时间差会导致缓存的统计信息出现显著偏差。为了最大程度地减少偏差，stats_fetch_consistency 可以设置为 snapshot，代价是增加了缓存不必要的统计数据信息的内存使用量。相反，如果已知只能访问一次统计信息，则缓存访问过的统计信息是不必要的，并且可以通过将 stats_fetch_consistency 设置为 none 来避免。您可以调用 pg_stat_clear_snapshot() 来放弃当前事务的统计信息快照或缓存值（如果有）。在快照模式下，下一次使用统计信息会导致构建一个新快照，或在缓存模式下，导致缓存访问过的统计信息。

Another important point is that when a server process is asked to display any of the accumulated statistics, accessed values are cached until the end of its current transaction in the default configuration. So the statistics will show static information as long as you continue the current transaction. Similarly, information about the current queries of all sessions is collected when any such information is first requested within a transaction, and the same information will be displayed throughout the transaction. This is a feature, not a bug, because it allows you to perform several queries on the statistics and correlate the results without worrying that the numbers are changing underneath you. When analyzing statistics interactively, or with expensive queries, the time delta between accesses to individual statistics can lead to significant skew in the cached statistics. To minimize skew, stats_fetch_consistency can be set to snapshot, at the price of increased memory usage for caching not-needed statistics data. Conversely, if it’s known that statistics are only accessed once, caching accessed statistics is unnecessary and can be avoided by setting stats_fetch_consistency to none. You can invoke pg_stat_clear_snapshot() to discard the current transaction’s statistics snapshot or cached values (if any). The next use of statistical information will (when in snapshot mode) cause a new snapshot to be built or (when in cache mode) accessed statistics to be cached.

事务还可以通过 pg_stat_xact_all_tables、pg_stat_xact_sys_tables、pg_stat_xact_user_tables 和 pg_stat_xact_user_functions 视图看到自己的（尚未冲刷到共享内存统计信息中的）统计信息。这些数字不会像上面陈述的那样起作用；相反，它们会在整个事务过程中持续更新。

A transaction can also see its own statistics (not yet flushed out to the shared memory statistics) in the views pg_stat_xact_all_tables, pg_stat_xact_sys_tables, pg_stat_xact_user_tables, and pg_stat_xact_user_functions. These numbers do not act as stated above; instead they update continuously throughout the transaction.

Table 28.1 中显示的动态统计信息视图中的一些信息受到安全限制。普通用户只能看到有关其自身会话（属于他们所属角色的会话）的所有信息。在有关其他会话的行中，许多列将为空。但请注意，所有用户都可以看到会话的存在及其一般属性，如会话用户和数据库。拥有内建角色 pg_read_all_stats 权限的超级用户和角色（另请参阅 Section 22.5）可以看到有关所有会话的所有信息。

Some of the information in the dynamic statistics views shown in Table 28.1 is security restricted. Ordinary users can only see all the information about their own sessions (sessions belonging to a role that they are a member of). In rows about other sessions, many columns will be null. Note, however, that the existence of a session and its general properties such as its sessions user and database are visible to all users. Superusers and roles with privileges of built-in role pg_read_all_stats (see also Section 22.5) can see all the information about all sessions.

Table 28.1. Dynamic Statistics Views

View Name

Description

pg_stat_activity

One row per server process, showing information related to the current activity of that process, such as state and current query. See pg_stat_activity for details.

pg_stat_replication

One row per WAL sender process, showing statistics about replication to that sender’s connected standby server. See pg_stat_replication for details.

pg_stat_wal_receiver

Only one row, showing statistics about the WAL receiver from that receiver’s connected server. See pg_stat_wal_receiver for details.

pg_stat_recovery_prefetch

Only one row, showing statistics about blocks prefetched during recovery. See pg_stat_recovery_prefetch for details.

pg_stat_subscription

At least one row per subscription, showing information about the subscription workers. See pg_stat_subscription for details.

pg_stat_ssl

One row per connection (regular and replication), showing information about SSL used on this connection. See pg_stat_ssl for details.

pg_stat_gssapi

One row per connection (regular and replication), showing information about GSSAPI authentication and encryption used on this connection. See pg_stat_gssapi for details.

pg_stat_progress_analyze

One row for each backend (including autovacuum worker processes) running ANALYZE, showing current progress. See Section 28.4.1.

pg_stat_progress_create_index

One row for each backend running CREATE INDEX or REINDEX, showing current progress. See Section 28.4.4.

pg_stat_progress_vacuum

One row for each backend (including autovacuum worker processes) running VACUUM, showing current progress. See Section 28.4.5.

pg_stat_progress_cluster

One row for each backend running CLUSTER or VACUUM FULL, showing current progress. See Section 28.4.2.

pg_stat_progress_basebackup

One row for each WAL sender process streaming a base backup, showing current progress. See Section 28.4.6.

pg_stat_progress_copy

One row for each backend running COPY, showing current progress. See Section 28.4.3.

Table 28.2. Collected Statistics Views

View Name

Description

pg_stat_archiver

One row only, showing statistics about the WAL archiver process’s activity. See pg_stat_archiver for details.

pg_stat_bgwriter

One row only, showing statistics about the background writer process’s activity. See pg_stat_bgwriter for details.

pg_stat_database

One row per database, showing database-wide statistics. See pg_stat_database for details.

pg_stat_database_conflicts

One row per database, showing database-wide statistics about query cancels due to conflict with recovery on standby servers. See pg_stat_database_conflicts for details.

pg_stat_io

One row for each combination of backend type, context, and target object containing cluster-wide I/O statistics. See pg_stat_io for details.

pg_stat_replication_slots

One row per replication slot, showing statistics about the replication slot’s usage. See pg_stat_replication_slots for details.

pg_stat_slru

One row per SLRU, showing statistics of operations. See pg_stat_slru for details.

pg_stat_subscription_stats

One row per subscription, showing statistics about errors. See pg_stat_subscription_stats for details.

pg_stat_wal

One row only, showing statistics about WAL activity. See pg_stat_wal for details.

pg_stat_all_tables

One row for each table in the current database, showing statistics about accesses to that specific table. See pg_stat_all_tables for details.

pg_stat_sys_tables

Same as pg_stat_all_tables, except that only system tables are shown.

pg_stat_user_tables

Same as pg_stat_all_tables, except that only user tables are shown.

pg_stat_xact_all_tables

Similar to pg_stat_all_tables, but counts actions taken so far within the current transaction (which are not yet included in pg_stat_all_tables and related views). The columns for numbers of live and dead rows and vacuum and analyze actions are not present in this view.

pg_stat_xact_sys_tables

Same as pg_stat_xact_all_tables, except that only system tables are shown.

pg_stat_xact_user_tables

Same as pg_stat_xact_all_tables, except that only user tables are shown.

pg_stat_all_indexes

One row for each index in the current database, showing statistics about accesses to that specific index. See pg_stat_all_indexes for details.

pg_stat_sys_indexes

Same as pg_stat_all_indexes, except that only indexes on system tables are shown.

pg_stat_user_indexes

Same as pg_stat_all_indexes, except that only indexes on user tables are shown.

pg_stat_user_functions

One row for each tracked function, showing statistics about executions of that function. See pg_stat_user_functions for details.

pg_stat_xact_user_functions

Similar to pg_stat_user_functions, but counts only calls during the current transaction (which are not yet included in pg_stat_user_functions).

pg_statio_all_tables

One row for each table in the current database, showing statistics about I/O on that specific table. See pg_statio_all_tables for details.

pg_statio_sys_tables

Same as pg_statio_all_tables, except that only system tables are shown.

pg_statio_user_tables

Same as pg_statio_all_tables, except that only user tables are shown.

pg_statio_all_indexes

One row for each index in the current database, showing statistics about I/O on that specific index. See pg_statio_all_indexes for details.

pg_statio_sys_indexes

Same as pg_statio_all_indexes, except that only indexes on system tables are shown.

pg_statio_user_indexes

Same as pg_statio_all_indexes, except that only indexes on user tables are shown.

pg_statio_all_sequences

One row for each sequence in the current database, showing statistics about I/O on that specific sequence. See pg_statio_all_sequences for details.

pg_statio_sys_sequences

Same as pg_statio_all_sequences, except that only system sequences are shown. (Presently, no system sequences are defined, so this view is always empty.)

pg_statio_user_sequences

Same as pg_statio_all_sequences, except that only user sequences are shown.

按索引分组的统计信息特别有助于确定正在使用哪些索引以及它们的效果如何。

The per-index statistics are particularly useful to determine which indexes are being used and how effective they are.

pg_stat_io 和 pg_statio_ 视图集合可用来确定缓冲区高速缓存的有效性。它们可用于计算高速缓存命中率。请注意，虽然 PostgreSQL 的 I/O 统计信息捕获了为执行 I/O 而调用内核的大多数实例，但它们并不会区分必须从磁盘提取的数据和已经驻留在内核页面高速缓存中的数据。建议用户将 PostgreSQL 统计信息视图与操作系统实用程序结合使用，以便更全面地了解其数据库的 I/O 性能。

The pg_stat_io and pg_statio_ set of views are useful for determining the effectiveness of the buffer cache. They can be used to calculate a cache hit ratio. Note that while PostgreSQL’s I/O statistics capture most instances in which the kernel was invoked in order to perform I/O, they do not differentiate between data which had to be fetched from disk and that which already resided in the kernel page cache. Users are advised to use the PostgreSQL statistics views in combination with operating system utilities for a more complete picture of their database’s I/O performance.

28.2.3. pg_stat_activity #

pg_stat_activity 视图将为每个服务器进程显示一行，显示与该进程当前活动相关的信息。

The pg_stat_activity view will have one row per server process, showing information related to the current activity of that process.

Table 28.3. pg_stat_activity View

Column Type

Description

datid oid

OID of the database this backend is connected to

datname name

Name of the database this backend is connected to

pid integer

Process ID of this backend

leader_pid integer

Process ID of the parallel group leader if this process is a parallel query worker, or process ID of the leader apply worker if this process is a parallel apply worker. NULL indicates that this process is a parallel group leader or leader apply worker, or does not participate in any parallel operation.

usesysid oid

OID of the user logged into this backend

usename name

Name of the user logged into this backend

application_name text

Name of the application that is connected to this backend

client_addr inet

IP address of the client connected to this backend. If this field is null, it indicates either that the client is connected via a Unix socket on the server machine or that this is an internal process such as autovacuum.

client_hostname text

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.

client_port integer

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.

backend_start timestamp with time zone

Time when this process was started. For client backends, this is the time the client connected to the server.

xact_start timestamp with time zone

Time when this process' current transaction was started, or null if no transaction is active. If the current query is the first of its transaction, this column is equal to the query_start column.

query_start timestamp with time zone

Time when the currently active query was started, or if state is not active, when the last query was started

state_change timestamp with time zone

Time when the state was last changed

wait_event_type text

The type of event for which the backend is waiting, if any; otherwise NULL. See Table 28.4.

wait_event text

Wait event name if backend is currently waiting, otherwise NULL. See Table 28.5 through Table 28.13.

state text

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.

backend_xid xid

Top-level transaction identifier of this backend, if any; see Section 74.1.

backend_xmin xid

The current backend’s xmin horizon.

query_id bigint

Identifier of this backend’s most recent query. If state is active this field shows the identifier of the currently executing query. In all other states, it shows the identifier of last query that was executed. Query identifiers are not computed by default so this field will be null unless compute_query_id parameter is enabled or a third-party module that computes query identifiers is configured.

query text

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.

backend_type text

Type of current backend. Possible types are autovacuum launcher, autovacuum worker, logical replication launcher, logical replication worker, parallel worker, background writer, client backend, checkpointer, archiver, standalone backend, startup, walreceiver, walsender and walwriter. In addition, background workers registered by extensions may have additional types.

Note

wait_event 和 state 列是独立的。如果后端处于 active 状态，它可能或可能不在某些事件中 waiting。如果状态是 active 并且 wait_event 为非空，则这意味着查询正在执行，但正在系统的某个地方被阻止。

The wait_event and state columns are independent. If a backend is in the active state, it may or may not be waiting on some event. If the state is active and wait_event is non-null, it means that a query is being executed, but is being blocked somewhere in the system.

Table 28.4. Wait Event Types

Wait Event Type

Description

Activity

The server process is idle. This event type indicates a process waiting for activity in its main processing loop. wait_event will identify the specific wait point; see Table 28.5.

BufferPin

The server process is waiting for exclusive access to a data buffer. Buffer pin waits can be protracted if another process holds an open cursor that last read data from the buffer in question. See Table 28.6.

Client

The server process is waiting for activity on a socket connected to a user application. Thus, the server expects something to happen that is independent of its internal processes. wait_event will identify the specific wait point; see Table 28.7.

Extension

The server process is waiting for some condition defined by an extension module. See Table 28.8.

The server process is waiting for an I/O operation to complete. wait_event will identify the specific wait point; see Table 28.9.

IPC

The server process is waiting for some interaction with another server process. wait_event will identify the specific wait point; see Table 28.10.

Lock

The server process 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; see Table 28.11.

LWLock

The server process is waiting for a lightweight lock. Most such locks protect 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.) See Table 28.12.

Timeout

The server process is waiting for a timeout to expire. wait_event will identify the specific wait point; see Table 28.13.

Table 28.5. Wait Events of Type Activity

Activity Wait Event

Description

ArchiverMain

Waiting in main loop of archiver process.

AutoVacuumMain

Waiting in main loop of autovacuum launcher process.

BgWriterHibernate

Waiting in background writer process, hibernating.

BgWriterMain

Waiting in main loop of background writer process.

CheckpointerMain

Waiting in main loop of checkpointer process.

LogicalApplyMain

Waiting in main loop of logical replication apply process.

LogicalLauncherMain

Waiting in main loop of logical replication launcher process.

LogicalParallelApplyMain

Waiting in main loop of logical replication parallel apply process.

RecoveryWalStream

Waiting in main loop of startup process for WAL to arrive, during streaming recovery.

SysLoggerMain

Waiting in main loop of syslogger process.

WalReceiverMain

Waiting in main loop of WAL receiver process.

WalSenderMain

Waiting in main loop of WAL sender process.

WalWriterMain

Waiting in main loop of WAL writer process.

Table 28.6. Wait Events of Type BufferPin

BufferPin Wait Event

Description

BufferPin

Waiting to acquire an exclusive pin on a buffer.

Table 28.7. Wait Events of Type Client

Client Wait Event

Description

ClientRead

Waiting to read data from the client.

ClientWrite

Waiting to write data to the client.

GSSOpenServer

Waiting to read data from the client while establishing a GSSAPI session.

LibPQWalReceiverConnect

Waiting in WAL receiver to establish connection to remote server.

LibPQWalReceiverReceive

Waiting in WAL receiver to receive data from remote server.

SSLOpenServer

Waiting for SSL while attempting connection.

WalSenderWaitForWAL

Waiting for WAL to be flushed in WAL sender process.

WalSenderWriteData

Waiting for any activity when processing replies from WAL receiver in WAL sender process.

Table 28.8. Wait Events of Type Extension

Extension Wait Event

Description

Extension

Waiting in an extension.

Table 28.9. Wait Events of Type IO

IO Wait Event

Description

BaseBackupRead

Waiting for base backup to read from a file.

BaseBackupSync

Waiting for data written by a base backup to reach durable storage.

BaseBackupWrite

Waiting for base backup to write to a file.

BufFileRead

Waiting for a read from a buffered file.

BufFileTruncate

Waiting for a buffered file to be truncated.

BufFileWrite

Waiting for a write to a buffered file.

ControlFileRead

Waiting for a read from the pg_control file.

ControlFileSync

Waiting for the pg_control file to reach durable storage.

ControlFileSyncUpdate

Waiting for an update to the pg_control file to reach durable storage.

ControlFileWrite

Waiting for a write to the pg_control file.

ControlFileWriteUpdate

Waiting for a write to update the pg_control file.

CopyFileRead

Waiting for a read during a file copy operation.

CopyFileWrite

Waiting for a write during a file copy operation.

DSMAllocate

Waiting for a dynamic shared memory segment to be allocated.

DSMFillZeroWrite

Waiting to fill a dynamic shared memory backing file with zeroes.

DataFileExtend

Waiting for a relation data file to be extended.

DataFileFlush

Waiting for a relation data file to reach durable storage.

DataFileImmediateSync

Waiting for an immediate synchronization of a relation data file to durable storage.

DataFilePrefetch

Waiting for an asynchronous prefetch from a relation data file.

DataFileRead

Waiting for a read from a relation data file.

DataFileSync

Waiting for changes to a relation data file to reach durable storage.

DataFileTruncate

Waiting for a relation data file to be truncated.

DataFileWrite

Waiting for a write to a relation data file.

LockFileAddToDataDirRead

Waiting for a read while adding a line to the data directory lock file.

LockFileAddToDataDirSync

Waiting for data to reach durable storage while adding a line to the data directory lock file.

LockFileAddToDataDirWrite

Waiting for a write while adding a line to the data directory lock file.

LockFileCreateRead

Waiting to read while creating the data directory lock file.

LockFileCreateSync

Waiting for data to reach durable storage while creating the data directory lock file.

LockFileCreateWrite

Waiting for a write while creating the data directory lock file.

LockFileReCheckDataDirRead

Waiting for a read during recheck of the data directory lock file.

LogicalRewriteCheckpointSync

Waiting for logical rewrite mappings to reach durable storage during a checkpoint.

LogicalRewriteMappingSync

Waiting for mapping data to reach durable storage during a logical rewrite.

LogicalRewriteMappingWrite

Waiting for a write of mapping data during a logical rewrite.

LogicalRewriteSync

Waiting for logical rewrite mappings to reach durable storage.

LogicalRewriteTruncate

Waiting for truncate of mapping data during a logical rewrite.

LogicalRewriteWrite

Waiting for a write of logical rewrite mappings.

RelationMapRead

Waiting for a read of the relation map file.

RelationMapReplace

Waiting for durable replacement of a relation map file.

RelationMapWrite

Waiting for a write to the relation map file.

ReorderBufferRead

Waiting for a read during reorder buffer management.

ReorderBufferWrite

Waiting for a write during reorder buffer management.

ReorderLogicalMappingRead

Waiting for a read of a logical mapping during reorder buffer management.

ReplicationSlotRead

Waiting for a read from a replication slot control file.

ReplicationSlotRestoreSync

Waiting for a replication slot control file to reach durable storage while restoring it to memory.

ReplicationSlotSync

Waiting for a replication slot control file to reach durable storage.

ReplicationSlotWrite

Waiting for a write to a replication slot control file.

SLRUFlushSync

Waiting for SLRU data to reach durable storage during a checkpoint or database shutdown.

SLRURead

Waiting for a read of an SLRU page.

SLRUSync

Waiting for SLRU data to reach durable storage following a page write.

SLRUWrite

Waiting for a write of an SLRU page.

SnapbuildRead

Waiting for a read of a serialized historical catalog snapshot.

SnapbuildSync

Waiting for a serialized historical catalog snapshot to reach durable storage.

SnapbuildWrite

Waiting for a write of a serialized historical catalog snapshot.

TimelineHistoryFileSync

Waiting for a timeline history file received via streaming replication to reach durable storage.

TimelineHistoryFileWrite

Waiting for a write of a timeline history file received via streaming replication.

TimelineHistoryRead

Waiting for a read of a timeline history file.

TimelineHistorySync

Waiting for a newly created timeline history file to reach durable storage.

TimelineHistoryWrite

Waiting for a write of a newly created timeline history file.

TwophaseFileRead

Waiting for a read of a two phase state file.

TwophaseFileSync

Waiting for a two phase state file to reach durable storage.

TwophaseFileWrite

Waiting for a write of a two phase state file.

VersionFileSync

Waiting for the version file to reach durable storage while creating a database.

VersionFileWrite

Waiting for the version file to be written while creating a database.

WALBootstrapSync

Waiting for WAL to reach durable storage during bootstrapping.

WALBootstrapWrite

Waiting for a write of a WAL page during bootstrapping.

WALCopyRead

Waiting for a read when creating a new WAL segment by copying an existing one.

WALCopySync

Waiting for a new WAL segment created by copying an existing one to reach durable storage.

WALCopyWrite

Waiting for a write when creating a new WAL segment by copying an existing one.

WALInitSync

Waiting for a newly initialized WAL file to reach durable storage.

WALInitWrite

Waiting for a write while initializing a new WAL file.

WALRead

Waiting for a read from a WAL file.

WALSenderTimelineHistoryRead

Waiting for a read from a timeline history file during a walsender timeline command.

WALSync

Waiting for a WAL file to reach durable storage.

WALSyncMethodAssign

Waiting for data to reach durable storage while assigning a new WAL sync method.

WALWrite

Waiting for a write to a WAL file.

Table 28.10. Wait Events of Type IPC

IPC Wait Event

Description

AppendReady

Waiting for subplan nodes of an Append plan node to be ready.

ArchiveCleanupCommand

Waiting for archive_cleanup_command to complete.

ArchiveCommand

Waiting for archive_command to complete.

BackendTermination

Waiting for the termination of another backend.

BackupWaitWalArchive

Waiting for WAL files required for a backup to be successfully archived.

BgWorkerShutdown

Waiting for background worker to shut down.

BgWorkerStartup

Waiting for background worker to start up.

BtreePage

Waiting for the page number needed to continue a parallel B-tree scan to become available.

BufferIO

Waiting for buffer I/O to complete.

CheckpointDone

Waiting for a checkpoint to complete.

CheckpointStart

Waiting for a checkpoint to start.

ExecuteGather

Waiting for activity from a child process while executing a Gather plan node.

HashBatchAllocate

Waiting for an elected Parallel Hash participant to allocate a hash table.

HashBatchElect

Waiting to elect a Parallel Hash participant to allocate a hash table.

HashBatchLoad

Waiting for other Parallel Hash participants to finish loading a hash table.

HashBuildAllocate

Waiting for an elected Parallel Hash participant to allocate the initial hash table.

HashBuildElect

Waiting to elect a Parallel Hash participant to allocate the initial hash table.

HashBuildHashInner

Waiting for other Parallel Hash participants to finish hashing the inner relation.

HashBuildHashOuter

Waiting for other Parallel Hash participants to finish partitioning the outer relation.

HashGrowBatchesDecide

Waiting to elect a Parallel Hash participant to decide on future batch growth.

HashGrowBatchesElect

Waiting to elect a Parallel Hash participant to allocate more batches.

HashGrowBatchesFinish

Waiting for an elected Parallel Hash participant to decide on future batch growth.

HashGrowBatchesReallocate

Waiting for an elected Parallel Hash participant to allocate more batches.

HashGrowBatchesRepartition

Waiting for other Parallel Hash participants to finish repartitioning.

HashGrowBucketsElect

Waiting to elect a Parallel Hash participant to allocate more buckets.

HashGrowBucketsReallocate

Waiting for an elected Parallel Hash participant to finish allocating more buckets.

HashGrowBucketsReinsert

Waiting for other Parallel Hash participants to finish inserting tuples into new buckets.

LogicalApplySendData

Waiting for a logical replication leader apply process to send data to a parallel apply process.

LogicalParallelApplyStateChange

Waiting for a logical replication parallel apply process to change state.

LogicalSyncData

Waiting for a logical replication remote server to send data for initial table synchronization.

LogicalSyncStateChange

Waiting for a logical replication remote server to change state.

MessageQueueInternal

Waiting for another process to be attached to a shared message queue.

MessageQueuePutMessage

Waiting to write a protocol message to a shared message queue.

MessageQueueReceive

Waiting to receive bytes from a shared message queue.

MessageQueueSend

Waiting to send bytes to a shared message queue.

ParallelBitmapScan

Waiting for parallel bitmap scan to become initialized.

ParallelCreateIndexScan

Waiting for parallel CREATE INDEX workers to finish heap scan.

ParallelFinish

Waiting for parallel workers to finish computing.

ProcArrayGroupUpdate

Waiting for the group leader to clear the transaction ID at end of a parallel operation.

ProcSignalBarrier

Waiting for a barrier event to be processed by all backends.

Promote

Waiting for standby promotion.

RecoveryConflictSnapshot

Waiting for recovery conflict resolution for a vacuum cleanup.

RecoveryConflictTablespace

Waiting for recovery conflict resolution for dropping a tablespace.

RecoveryEndCommand

Waiting for recovery_end_command to complete.

RecoveryPause

Waiting for recovery to be resumed.

ReplicationOriginDrop

Waiting for a replication origin to become inactive so it can be dropped.

ReplicationSlotDrop

Waiting for a replication slot to become inactive so it can be dropped.

RestoreCommand

Waiting for restore_command to complete.

SafeSnapshot

Waiting to obtain a valid snapshot for a READ ONLY DEFERRABLE transaction.

SyncRep

Waiting for confirmation from a remote server during synchronous replication.

WalReceiverExit

Waiting for the WAL receiver to exit.

WalReceiverWaitStart

Waiting for startup process to send initial data for streaming replication.

XactGroupUpdate

Waiting for the group leader to update transaction status at end of a parallel operation.

Table 28.11. Wait Events of Type Lock

Lock Wait Event

Description

advisory

Waiting to acquire an advisory user lock.

applytransaction

Waiting to acquire a lock on a remote transaction being applied by a logical replication subscriber.

extend

Waiting to extend a relation.

frozenid

Waiting to update pg_database.datfrozenxid and pg_database.datminmxid.

object

Waiting to acquire a lock on a non-relation database object.

page

Waiting to acquire a lock on a page of a relation.

relation

Waiting to acquire a lock on a relation.

spectoken

Waiting to acquire a speculative insertion lock.

transactionid

Waiting for a transaction to finish.

tuple

Waiting to acquire a lock on a tuple.

userlock

Waiting to acquire a user lock.

virtualxid

Waiting to acquire a virtual transaction ID lock; see Section 74.1.

Table 28.12. Wait Events of Type LWLock

LWLock Wait Event

Description

AddinShmemInit

Waiting to manage an extension’s space allocation in shared memory.

AutoFile

Waiting to update the postgresql.auto.conf file.

Autovacuum

Waiting to read or update the current state of autovacuum workers.

AutovacuumSchedule

Waiting to ensure that a table selected for autovacuum still needs vacuuming.

BackgroundWorker

Waiting to read or update background worker state.

BtreeVacuum

Waiting to read or update vacuum-related information for a B-tree index.

BufferContent

Waiting to access a data page in memory.

BufferMapping

Waiting to associate a data block with a buffer in the buffer pool.

CheckpointerComm

Waiting to manage fsync requests.

CommitTs

Waiting to read or update the last value set for a transaction commit timestamp.

CommitTsBuffer

Waiting for I/O on a commit timestamp SLRU buffer.

CommitTsSLRU

Waiting to access the commit timestamp SLRU cache.

ControlFile

Waiting to read or update the pg_control file or create a new WAL file.

DynamicSharedMemoryControl

Waiting to read or update dynamic shared memory allocation information.

LockFastPath

Waiting to read or update a process' fast-path lock information.

LockManager

Waiting to read or update information about “heavyweight” locks.

LogicalRepLauncherDSA

Waiting to access logical replication launcher’s dynamic shared memory allocator.

LogicalRepLauncherHash

Waiting to access logical replication launcher’s shared hash table.

LogicalRepWorker

Waiting to read or update the state of logical replication workers.

MultiXactGen

Waiting to read or update shared multixact state.

MultiXactMemberBuffer

Waiting for I/O on a multixact member SLRU buffer.

MultiXactMemberSLRU

Waiting to access the multixact member SLRU cache.

MultiXactOffsetBuffer

Waiting for I/O on a multixact offset SLRU buffer.

MultiXactOffsetSLRU

Waiting to access the multixact offset SLRU cache.

MultiXactTruncation

Waiting to read or truncate multixact information.

NotifyBuffer

Waiting for I/O on a NOTIFY message SLRU buffer.

NotifyQueue

Waiting to read or update NOTIFY messages.

NotifyQueueTail

Waiting to update limit on NOTIFY message storage.

NotifySLRU

Waiting to access the NOTIFY message SLRU cache.

OidGen

Waiting to allocate a new OID.

OldSnapshotTimeMap

Waiting to read or update old snapshot control information.

ParallelAppend

Waiting to choose the next subplan during Parallel Append plan execution.

ParallelHashJoin

Waiting to synchronize workers during Parallel Hash Join plan execution.

ParallelQueryDSA

Waiting for parallel query dynamic shared memory allocation.

PerSessionDSA

Waiting for parallel query dynamic shared memory allocation.

PerSessionRecordType

Waiting to access a parallel query’s information about composite types.

PerSessionRecordTypmod

Waiting to access a parallel query’s information about type modifiers that identify anonymous record types.

PerXactPredicateList

Waiting to access the list of predicate locks held by the current serializable transaction during a parallel query.

PgStatsData

Waiting for shared memory stats data access

PgStatsDSA

Waiting for stats dynamic shared memory allocator access

PgStatsHash

Waiting for stats shared memory hash table access

PredicateLockManager

Waiting to access predicate lock information used by serializable transactions.

ProcArray

Waiting to access the shared per-process data structures (typically, to get a snapshot or report a session’s transaction ID).

RelationMapping

Waiting to read or update a pg_filenode.map file (used to track the filenode assignments of certain system catalogs).

RelCacheInit

Waiting to read or update a pg_internal.init relation cache initialization file.

ReplicationOrigin

Waiting to create, drop or use a replication origin.

ReplicationOriginState

Waiting to read or update the progress of one replication origin.

ReplicationSlotAllocation

Waiting to allocate or free a replication slot.

ReplicationSlotControl

Waiting to read or update replication slot state.

ReplicationSlotIO

Waiting for I/O on a replication slot.

SerialBuffer

Waiting for I/O on a serializable transaction conflict SLRU buffer.

SerializableFinishedList

Waiting to access the list of finished serializable transactions.

SerializablePredicateList

Waiting to access the list of predicate locks held by serializable transactions.

SerializableXactHash

Waiting to read or update information about serializable transactions.

SerialSLRU

Waiting to access the serializable transaction conflict SLRU cache.

SharedTidBitmap

Waiting to access a shared TID bitmap during a parallel bitmap index scan.

SharedTupleStore

Waiting to access a shared tuple store during parallel query.

ShmemIndex

Waiting to find or allocate space in shared memory.

SInvalRead

Waiting to retrieve messages from the shared catalog invalidation queue.

SInvalWrite

Waiting to add a message to the shared catalog invalidation queue.

SubtransBuffer

Waiting for I/O on a sub-transaction SLRU buffer.

SubtransSLRU

Waiting to access the sub-transaction SLRU cache.

SyncRep

Waiting to read or update information about the state of synchronous replication.

SyncScan

Waiting to select the starting location of a synchronized table scan.

TablespaceCreate

Waiting to create or drop a tablespace.

TwoPhaseState

Waiting to read or update the state of prepared transactions.

WALBufMapping

Waiting to replace a page in WAL buffers.

WALInsert

Waiting to insert WAL data into a memory buffer.

WALWrite

Waiting for WAL buffers to be written to disk.

WrapLimitsVacuum

Waiting to update limits on transaction id and multixact consumption.

XactBuffer

Waiting for I/O on a transaction status SLRU buffer.

XactSLRU

Waiting to access the transaction status SLRU cache.

XactTruncation

Waiting to execute pg_xact_status or update the oldest transaction ID available to it.

XidGen

Waiting to allocate a new transaction ID.

Note

扩展可以将 LWLock 类型添加到 Table 28.12 中所示的列表中。在某些情况下，扩展分配的名称不会在所有服务器进程中都可用；因此可能只将 LWLock 等待时间事件报告为 “extension”，而不是扩展分配的名称。

Extensions can add LWLock types to the list shown in Table 28.12. In some cases, the name assigned by an extension will not be available in all server processes; so an LWLock wait event might be reported as just “extension” rather than the extension-assigned name.

Table 28.13. Wait Events of Type Timeout

Timeout Wait Event

Description

BaseBackupThrottle

Waiting during base backup when throttling activity.

CheckpointWriteDelay

Waiting between writes while performing a checkpoint.

PgSleep

Waiting due to a call to pg_sleep or a sibling function.

RecoveryApplyDelay

Waiting to apply WAL during recovery because of a delay setting.

RecoveryRetrieveRetryInterval

Waiting during recovery when WAL data is not available from any source (pg_wal, archive or stream).

RegisterSyncRequest

Waiting while sending synchronization requests to the checkpointer, because the request queue is full.

SpinDelay

Waiting while acquiring a contended spinlock.

VacuumDelay

Waiting in a cost-based vacuum delay point.

VacuumTruncate

Waiting to acquire an exclusive lock to truncate off any empty pages at the end of a table vacuumed.

以下是查看等待事件的示例：

Here is an example of how wait events can be viewed:

SELECT pid, wait_event_type, wait_event FROM pg_stat_activity WHERE wait_event is NOT NULL;
 pid  | wait_event_type | wait_event
------+-----------------+------------
 2540 | Lock            | relation
 6644 | LWLock          | ProcArray
(2 rows)

28.2.4. pg_stat_replication #

pg_stat_replication 的视图将包含每个 WAL 发送进程的一行，显示有关复制到该发送方的连接备用服务器的统计信息。仅列出直接连接的备用服务器；没有关于下游备用服务器的信息。

The pg_stat_replication view will contain one row per WAL sender process, showing statistics about replication to that sender’s connected standby server. Only directly connected standbys are listed; no information is available about downstream standby servers.

Table 28.14. pg_stat_replication View

Column Type

Description

pid integer

Process ID of a WAL sender process

usesysid oid

OID of the user logged into this WAL sender process

usename name

Name of the user logged into this WAL sender process

application_name text

Name of the application that is connected to this WAL sender

client_addr inet

IP address of the client connected to this WAL sender. If this field is null, it indicates that the client is connected via a Unix socket on the server machine.

client_hostname text

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.

client_port integer

TCP port number that the client is using for communication with this WAL sender, or -1 if a Unix socket is used

backend_start timestamp with time zone

Time when this process was started, i.e., when the client connected to this WAL sender

backend_xmin xid

This standby’s xmin horizon reported by hot_standby_feedback.

state text

Current WAL sender state. Possible values are:

startup: This WAL sender is starting up.

catchup: This WAL sender’s connected standby is catching up with the primary.

streaming: This WAL sender is streaming changes after its connected standby server has caught up with the primary.

backup: This WAL sender is sending a backup.

stopping: This WAL sender is stopping.

sent_lsn pg_lsn

Last write-ahead log location sent on this connection

write_lsn pg_lsn

Last write-ahead log location written to disk by this standby server

flush_lsn pg_lsn

Last write-ahead log location flushed to disk by this standby server

replay_lsn pg_lsn

Last write-ahead log location replayed into the database on this standby server

write_lag interval

Time elapsed between flushing recent WAL locally and receiving notification that this standby server has written it (but not yet flushed it or applied it). This can be used to gauge the delay that synchronous_commit level remote_write incurred while committing if this server was configured as a synchronous standby.

flush_lag interval

Time elapsed between flushing recent WAL locally and receiving notification that this standby server has written and flushed it (but not yet applied it). This can be used to gauge the delay that synchronous_commit level on incurred while committing if this server was configured as a synchronous standby.

replay_lag interval

Time elapsed between flushing recent WAL locally and receiving notification that this standby server has written, flushed and applied it. This can be used to gauge the delay that synchronous_commit level remote_apply incurred while committing if this server was configured as a synchronous standby.

sync_priority integer

Priority of this standby server for being chosen as the synchronous standby in a priority-based synchronous replication. This has no effect in a quorum-based synchronous replication.

sync_state text

Synchronous state of this standby server. Possible values are:

async: This standby server is asynchronous.

potential: This standby server is now asynchronous, but can potentially become synchronous if one of current synchronous ones fails.

sync: This standby server is synchronous.

quorum: This standby server is considered as a candidate for quorum standbys.

reply_time timestamp with time zone

Send time of last reply message received from standby server

pg_stat_replication 视图中报告的延迟时间是对写入、写入缓存并重放最近 WAL 所用时间的测量，以及发送方得知该时间。如果将远程服务器配置为同步备用，则这些时间表示（或者原本将要引入）每个同步提交级别造成的提交延迟。对于异步备用，replay_lag 列近似表示近期事务对查询可见之前的延迟。如果备用服务器已完全赶上发送服务器，并且没有更多 WAL 活动，最近测量的延迟时间将继续显示一小段时间，然后显示 NULL。

The lag times reported in the pg_stat_replication view are measurements of the time taken for recent WAL to be written, flushed and replayed and for the sender to know about it. These times represent the commit delay that was (or would have been) introduced by each synchronous commit level, if the remote server was configured as a synchronous standby. For an asynchronous standby, the replay_lag column approximates the delay before recent transactions became visible to queries. If the standby server has entirely caught up with the sending server and there is no more WAL activity, the most recently measured lag times will continue to be displayed for a short time and then show NULL.

延迟时间自动适用于物理复制。逻辑解码插件可以选择发出跟踪消息；如果它们未发出，该跟踪机制将仅仅显示 NULL 延迟。

Lag times work automatically for physical replication. Logical decoding plugins may optionally emit tracking messages; if they do not, the tracking mechanism will simply display NULL lag.

Note

报告的延迟时间并不是预测备用服务器需要多长时间才能按照当前重放速度赶上发送服务器。当生成新的 WAL 时，此类系统会显示类似的时间，但当发送方变得空闲时会有所不同。特别是，当备用服务器完全赶上后，pg_stat_replication 显示的是写入、刷新并重放最近报告的 WAL 位置所花费的时间，而不是一些用户可能期望的零。这与测量近期写入事务的同步提交和事务可见性延迟的目标是一致的。为了减少对延迟的不同模型的用户的困惑，在重新播放的空闲系统上的短暂时间后，延迟列会恢复为 NULL。监控系统应选择将其表示为缺少数据、零或继续显示最后已知值。

The reported lag times are not predictions of how long it will take for the standby to catch up with the sending server assuming the current rate of replay. Such a system would show similar times while new WAL is being generated, but would differ when the sender becomes idle. In particular, when the standby has caught up completely, pg_stat_replication shows the time taken to write, flush and replay the most recent reported WAL location rather than zero as some users might expect. This is consistent with the goal of measuring synchronous commit and transaction visibility delays for recent write transactions. To reduce confusion for users expecting a different model of lag, the lag columns revert to NULL after a short time on a fully replayed idle system. Monitoring systems should choose whether to represent this as missing data, zero or continue to display the last known value.

28.2.5. pg_stat_replication_slots #

pg_stat_replication_slots 视图将包括关于其使用情况的统计信息，每行一个逻辑复制槽。

The pg_stat_replication_slots view will contain one row per logical replication slot, showing statistics about its usage.

Table 28.15. pg_stat_replication_slots View

Column Type

Description

slot_name text

A unique, cluster-wide identifier for the replication slot

spill_txns bigint

Number of transactions spilled to disk once the memory used by logical decoding to decode changes from WAL has exceeded logical_decoding_work_mem. The counter gets incremented for both top-level transactions and subtransactions.

spill_count bigint

Number of times transactions were spilled to disk while decoding changes from WAL for this slot. This counter is incremented each time a transaction is spilled, and the same transaction may be spilled multiple times.

spill_bytes bigint

Amount of decoded transaction data spilled to disk while performing decoding of changes from WAL for this slot. This and other spill counters can be used to gauge the I/O which occurred during logical decoding and allow tuning logical_decoding_work_mem.

stream_txns bigint

Number of in-progress transactions streamed to the decoding output plugin after the memory used by logical decoding to decode changes from WAL for this slot has exceeded logical_decoding_work_mem. Streaming only works with top-level transactions (subtransactions can’t be streamed independently), so the counter is not incremented for subtransactions.

stream_count__bigint

Number of times in-progress transactions were streamed to the decoding output plugin while decoding changes from WAL for this slot. This counter is incremented each time a transaction is streamed, and the same transaction may be streamed multiple times.

stream_bytes__bigint

Amount of transaction data decoded for streaming in-progress transactions to the decoding output plugin while decoding changes from WAL for this slot. This and other streaming counters for this slot can be used to tune logical_decoding_work_mem.

total_txns bigint

Number of decoded transactions sent to the decoding output plugin for this slot. This counts top-level transactions only, and is not incremented for subtransactions. Note that this includes the transactions that are streamed and/or spilled.

total_bytes__bigint

Amount of transaction data decoded for sending transactions to the decoding output plugin while decoding changes from WAL for this slot. Note that this includes data that is streamed and/or spilled.

stats_reset timestamp with time zone

Time at which these statistics were last reset

28.2.6. pg_stat_wal_receiver #

pg_stat_wal_receiver 视图将只包含一行，显示有关该接收者的连接服务器的 WAL 接收器的统计信息。

The pg_stat_wal_receiver view will contain only one row, showing statistics about the WAL receiver from that receiver’s connected server.

Table 28.16. pg_stat_wal_receiver View

Column Type

Description

pid integer

Process ID of the WAL receiver process

status text

Activity status of the WAL receiver process

receive_start_lsn pg_lsn

First write-ahead log location used when WAL receiver is started

receive_start_tli integer

First timeline number used when WAL receiver is started

written_lsn pg_lsn

Last write-ahead log location already received and written to disk, but not flushed. This should not be used for data integrity checks.

flushed_lsn pg_lsn

Last write-ahead log location already received and flushed to disk, the initial value of this field being the first log location used when WAL receiver is started

received_tli integer

Timeline number of last write-ahead log location received and flushed to disk, the initial value of this field being the timeline number of the first log location used when WAL receiver is started

last_msg_send_time timestamp with time zone

Send time of last message received from origin WAL sender

last_msg_receipt_time timestamp with time zone

Receipt time of last message received from origin WAL sender

latest_end_lsn pg_lsn

Last write-ahead log location reported to origin WAL sender

latest_end_time timestamp with time zone

Time of last write-ahead log location reported to origin WAL sender

slot_name text

Replication slot name used by this WAL receiver

sender_host text

Host of the PostgreSQL instance this WAL receiver is connected to. This can be a host name, an IP address, or a directory path if the connection is via Unix socket. (The path case can be distinguished because it will always be an absolute path, beginning with /.)

sender_port integer

Port number of the PostgreSQL instance this WAL receiver is connected to.

conninfo text

Connection string used by this WAL receiver, with security-sensitive fields obfuscated.

28.2.7. pg_stat_recovery_prefetch #

pg_stat_recovery_prefetch 视图将仅包含一行。列 wal_distance、block_distance 和 io_depth 显示当前值，而其他列显示使用 pg_stat_reset_shared 函数重置的累计计数器。

The pg_stat_recovery_prefetch view will contain only one row. The columns wal_distance, block_distance and io_depth show current values, and the other columns show cumulative counters that can be reset with the pg_stat_reset_shared function.

Table 28.17. pg_stat_recovery_prefetch View

Column Type

Description

stats_reset timestamp with time zone

Time at which these statistics were last reset

prefetch bigint

Number of blocks prefetched because they were not in the buffer pool

hit bigint

Number of blocks not prefetched because they were already in the buffer pool

skip_init bigint

Number of blocks not prefetched because they would be zero-initialized

skip_new bigint

Number of blocks not prefetched because they didn’t exist yet

skip_fpw bigint

Number of blocks not prefetched because a full page image was included in the WAL

skip_rep bigint

Number of blocks not prefetched because they were already recently prefetched

wal_distance int

How many bytes ahead the prefetcher is looking

block_distance int

How many blocks ahead the prefetcher is looking

io_depth int

How many prefetches have been initiated but are not yet known to have completed

28.2.8. pg_stat_subscription #

Table 28.18. pg_stat_subscription View

Column Type

Description

subid oid

OID of the subscription

subname name

Name of the subscription

pid integer

Process ID of the subscription worker process

leader_pid integer

Process ID of the leader apply worker if this process is a parallel apply worker; NULL if this process is a leader apply worker or a synchronization worker

relid oid

OID of the relation that the worker is synchronizing; NULL for the leader apply worker and parallel apply workers

received_lsn pg_lsn

Last write-ahead log location received, the initial value of this field being 0; NULL for parallel apply workers

last_msg_send_time timestamp with time zone

Send time of last message received from origin WAL sender; NULL for parallel apply workers

last_msg_receipt_time timestamp with time zone

Receipt time of last message received from origin WAL sender; NULL for parallel apply workers

latest_end_lsn pg_lsn

Last write-ahead log location reported to origin WAL sender; NULL for parallel apply workers

latest_end_time timestamp with time zone

Time of last write-ahead log location reported to origin WAL sender; NULL for parallel apply workers

28.2.9. pg_stat_subscription_stats #

pg_stat_subscription_stats 视图将包含每订阅一行。

The pg_stat_subscription_stats view will contain one row per subscription.

Table 28.19. pg_stat_subscription_stats View

Column Type

Description

subid oid

OID of the subscription

subname name

Name of the subscription

apply_error_count bigint

Number of times an error occurred while applying changes

sync_error_count bigint

Number of times an error occurred during the initial table synchronization

stats_reset timestamp with time zone

Time at which these statistics were last reset

28.2.10. pg_stat_ssl #

pg_stat_ssl 视图将包含每台后端或 WAL 发送器进程一行，显示有关此连接上 SSL 使用情况的统计信息。可以基于 pid 列连接到 pg_stat_activity 或 pg_stat_replication 以获取关于连接的更多详细信息。

The pg_stat_ssl view will contain one row per backend or WAL sender process, showing statistics about SSL usage on this connection. It can be joined to pg_stat_activity or pg_stat_replication on the pid column to get more details about the connection.

Table 28.20. pg_stat_ssl View

Column Type

Description

pid integer

Process ID of a backend or WAL sender process

ssl boolean

True if SSL is used on this connection

version text

Version of SSL in use, or NULL if SSL is not in use on this connection

cipher text

Name of SSL cipher in use, or NULL if SSL is not in use on this connection

bits integer

Number of bits in the encryption algorithm used, or NULL if SSL is not used on this connection

client_dn text

Distinguished Name (DN) field from the client certificate used, or NULL if no client certificate was supplied or if SSL is not in use on this connection. This field is truncated if the DN field is longer than NAMEDATALEN (64 characters in a standard build).

client_serial numeric

Serial number of the client certificate, or NULL if no client certificate was supplied or if SSL is not in use on this connection. The combination of certificate serial number and certificate issuer uniquely identifies a certificate (unless the issuer erroneously reuses serial numbers).

issuer_dn text

DN of the issuer of the client certificate, or NULL if no client certificate was supplied or if SSL is not in use on this connection. This field is truncated like client_dn.

28.2.11. pg_stat_gssapi #

pg_stat_gssapi 视图将每后端包含一行，显示本连接上 GSSAPI 使用的信息。可以与 pg_stat_activity 或 pg_stat_replication 上的 pid 列相连接以获取关于此连接的更详细信息。

The pg_stat_gssapi view will contain one row per backend, showing information about GSSAPI usage on this connection. It can be joined to pg_stat_activity or pg_stat_replication on the pid column to get more details about the connection.

Table 28.21. pg_stat_gssapi View

Column Type

Description

pid integer

Process ID of a backend

gss_authenticated boolean

True if GSSAPI authentication was used for this connection

principal text

Principal used to authenticate this connection, or NULL if GSSAPI was not used to authenticate this connection. This field is truncated if the principal is longer than NAMEDATALEN (64 characters in a standard build).

encrypted boolean

True if GSSAPI encryption is in use on this connection

credentials_delegated boolean

True if GSSAPI credentials were delegated on this connection.

28.2.12. pg_stat_archiver #

pg_stat_archiver 视图总有一行，其中包含群集归档器进程的数据。

The pg_stat_archiver view will always have a single row, containing data about the archiver process of the cluster.

Table 28.22. pg_stat_archiver View

Column Type

Description

archived_count bigint

Number of WAL files that have been successfully archived

last_archived_wal text

Name of the WAL file most recently successfully archived

last_archived_time timestamp with time zone

Time of the most recent successful archive operation

failed_count bigint

Number of failed attempts for archiving WAL files

last_failed_wal text

Name of the WAL file of the most recent failed archival operation

last_failed_time timestamp with time zone

Time of the most recent failed archival operation

stats_reset timestamp with time zone

Time at which these statistics were last reset

通常，WAL 文件要按从最旧到最新的顺序存档，但这并不能保证，在特殊情况下（如提升备用或崩溃恢复后）也不能成立。因此，不能假设所有早于 last_archived_wal 的文件都已成功存档。

Normally, WAL files are archived in order, oldest to newest, but that is not guaranteed, and does not hold under special circumstances like when promoting a standby or after crash recovery. Therefore it is not safe to assume that all files older than last_archived_wal have also been successfully archived.

28.2.13. pg_stat_io #

pg_stat_io 视图将包含对每种后端类型、目标 I/O 对象和 I/O 上下文组合的一行，显示集群级 I/O 统计信息。不合理的组合将被省略。

The pg_stat_io view will contain one row for each combination of backend type, target I/O object, and I/O context, showing cluster-wide I/O statistics. Combinations which do not make sense are omitted.

当前，正在跟踪与关系（如表、索引）相关的 I/O。但是，目前未跟踪绕过共享缓冲区的关联 I/O（如从一个表空间将表移动到另一个表空间时）。

Currently, I/O on relations (e.g. tables, indexes) is tracked. However, relation I/O which bypasses shared buffers (e.g. when moving a table from one tablespace to another) is currently not tracked.

Table 28.23. pg_stat_io View

Column Type

Description

backend_type text

Type of backend (e.g. background worker, autovacuum worker). See pg_stat_activity for more information on _backend_type_s. Some _backend_type_s do not accumulate I/O operation statistics and will not be included in the view.

object text

Target object of an I/O operation. Possible values are:

relation: Permanent relations.

temp relation: Temporary relations.

context text

The context of an I/O operation. Possible values are:

normal: The default or standard context for a type of I/O operation. For example, by default, relation data is read into and written out from shared buffers. Thus, reads and writes of relation data to and from shared buffers are tracked in context normal.

vacuum: I/O operations performed outside of shared buffers while vacuuming and analyzing permanent relations. Temporary table vacuums use the same local buffer pool as other temporary table IO operations and are tracked in context normal.

bulkread: Certain large read I/O operations done outside of shared buffers, for example, a sequential scan of a large table.

bulkwrite: Certain large write I/O operations done outside of shared buffers, such as COPY.

reads bigint

Number of read operations, each of the size specified in op_bytes.

read_time double precision

Time spent in read operations in milliseconds (if track_io_timing is enabled, otherwise zero)

writes bigint

Number of write operations, each of the size specified in op_bytes.

write_time double precision

Time spent in write operations in milliseconds (if track_io_timing is enabled, otherwise zero)

writebacks bigint

Number of units of size op_bytes which the process requested the kernel write out to permanent storage.

writeback_time double precision

Time spent in writeback operations in milliseconds (if track_io_timing is enabled, otherwise zero). This includes the time spent queueing write-out requests and, potentially, the time spent to write out the dirty data.

extends bigint

Number of relation extend operations, each of the size specified in op_bytes.

extend_time double precision

Time spent in extend operations in milliseconds (if track_io_timing is enabled, otherwise zero)

op_bytes bigint

The number of bytes per unit of I/O read, written, or extended.

Relation data reads, writes, and extends are done in block_size units, derived from the build-time parameter BLCKSZ, which is 8192 by default.

hits bigint

The number of times a desired block was found in a shared buffer.

evictions bigint

Number of times a block has been written out from a shared or local buffer in order to make it available for another use.

In context normal, this counts the number of times a block was evicted from a buffer and replaced with another block. In context_s _bulkwrite, bulkread, and vacuum, this counts the number of times a block was evicted from shared buffers in order to add the shared buffer to a separate, size-limited ring buffer for use in a bulk I/O operation.

reuses bigint

The number of times an existing buffer in a size-limited ring buffer outside of shared buffers was reused as part of an I/O operation in the bulkread, bulkwrite, or vacuum _context_s.

fsyncs bigint

Number of fsync calls. These are only tracked in context normal.

fsync_time double precision

Time spent in fsync operations in milliseconds (if track_io_timing is enabled, otherwise zero)

stats_reset timestamp with time zone

Time at which these statistics were last reset.

某些后端类型从未对某些 I/O 对象执行 I/O 操作，或者会在某些 I/O 上下文中执行此操作。这些行从视图中省略。例如，检查点程序不会对临时表进行检查点，因此 backend_type checkpointer 和 object temp relation 没有行。

Some backend types never perform I/O operations on some I/O objects and/or in some I/O contexts. These rows are omitted from the view. For example, the checkpointer does not checkpoint temporary tables, so there will be no rows for backend_type checkpointer and object temp relation.

此外，某些 I/O 操作永远不会由某些后端类型执行，或者不会在某些 I/O 对象和/或某些 I/O 上下文中执行此操作。这些单元格将为 NULL。例如，不会对临时表执行 fsync_ed, so _fsyncs，object temp relation 的值将为 NULL。此外，后台编写程序不执行读取，因此 reads 在 backend_type background writer 的行中将为 NULL。

In addition, some I/O operations will never be performed either by certain backend types or on certain I/O objects and/or in certain I/O contexts. These cells will be NULL. For example, temporary tables are not fsync_ed, so _fsyncs will be NULL for object temp relation. Also, the background writer does not perform reads, so reads will be NULL in rows for backend_type background writer.

pg_stat_io 可用于通知数据库调优。例如：

pg_stat_io can be used to inform database tuning. For example:

Note

只有在启用 track_io_timing 时，跟踪 I/O 时间的列才非零。如果 track_io_timing 自上次统计重置以来始终未启用，用户在引用这些列并结合其对应的 IO 操作时应小心。

Columns tracking I/O time will only be non-zero when track_io_timing is enabled. The user should be careful when referencing these columns in combination with their corresponding IO operations in case track_io_timing was not enabled for the entire time since the last stats reset.

28.2.14. pg_stat_bgwriter #

pg_stat_bgwriter 视图将始终有一行，其中包含群集的全局数据。

The pg_stat_bgwriter view will always have a single row, containing global data for the cluster.

Table 28.24. pg_stat_bgwriter View

Column Type

Description

checkpoints_timed bigint

Number of scheduled checkpoints that have been performed

checkpoints_req bigint

Number of requested checkpoints that have been performed

checkpoint_write_time double precision

Total amount of time that has been spent in the portion of checkpoint processing where files are written to disk, in milliseconds

checkpoint_sync_time double precision

Total amount of time that has been spent in the portion of checkpoint processing where files are synchronized to disk, in milliseconds

buffers_checkpoint bigint

Number of buffers written during checkpoints

buffers_clean bigint

Number of buffers written by the background writer

maxwritten_clean bigint

Number of times the background writer stopped a cleaning scan because it had written too many buffers

buffers_backend bigint

Number of buffers written directly by a backend

buffers_backend_fsync bigint

Number of times a backend had to execute its own fsync call (normally the background writer handles those even when the backend does its own write)

buffers_alloc bigint

Number of buffers allocated

stats_reset timestamp with time zone

Time at which these statistics were last reset

28.2.15. pg_stat_wal #

pg_stat_wal 视图中始终只有一行，它包含有关群集 WAL 活动的数据。

The pg_stat_wal view will always have a single row, containing data about WAL activity of the cluster.

Table 28.25. pg_stat_wal View

Column Type

Description

wal_records bigint

Total number of WAL records generated

wal_fpi bigint

Total number of WAL full page images generated

wal_bytes numeric

Total amount of WAL generated in bytes

wal_buffers_full bigint

Number of times WAL data was written to disk because WAL buffers became full

wal_write bigint

Number of times WAL buffers were written out to disk via XLogWrite request. See Section 30.5 for more information about the internal WAL function XLogWrite.

wal_sync bigint

Number of times WAL files were synced to disk via issue_xlog_fsync request (if fsync is on and wal_sync_method is either fdatasync, fsync or fsync_writethrough, otherwise zero). See Section 30.5 for more information about the internal WAL function issue_xlog_fsync.

wal_write_time double precision

Total amount of time spent writing WAL buffers to disk via XLogWrite request, in milliseconds (if track_wal_io_timing is enabled, otherwise zero). This includes the sync time when wal_sync_method is either open_datasync or open_sync.

wal_sync_time double precision

Total amount of time spent syncing WAL files to disk via issue_xlog_fsync request, in milliseconds (if track_wal_io_timing is enabled, fsync is on, and wal_sync_method is either fdatasync, fsync or fsync_writethrough, otherwise zero).

stats_reset timestamp with time zone

Time at which these statistics were last reset

28.2.16. pg_stat_database #

pg_stat_database 视图将包含群集中每个数据库的一行（以及共享对象的一行），展示数据库范围的统计信息。

The pg_stat_database view will contain one row for each database in the cluster, plus one for shared objects, showing database-wide statistics.

Table 28.26. pg_stat_database View

Column Type

Description

datid oid

OID of this database, or 0 for objects belonging to a shared relation

datname name

Name of this database, or NULL for shared objects.

numbackends integer

Number of backends currently connected to this database, or NULL for shared objects. This is the only column in this view that returns a value reflecting current state; all other columns return the accumulated values since the last reset.

xact_commit bigint

Number of transactions in this database that have been committed

xact_rollback bigint

Number of transactions in this database that have been rolled back

blks_read bigint

Number of disk blocks read in this database

blks_hit bigint

Number of times disk blocks were found already in the buffer cache, so that a read was not necessary (this only includes hits in the PostgreSQL buffer cache, not the operating system’s file system cache)

tup_returned bigint

Number of live rows fetched by sequential scans and index entries returned by index scans in this database

tup_fetched bigint

Number of live rows fetched by index scans in this database

tup_inserted bigint

Number of rows inserted by queries in this database

tup_updated bigint

Number of rows updated by queries in this database

tup_deleted bigint

Number of rows deleted by queries in this database

conflicts bigint

Number of queries canceled due to conflicts with recovery in this database. (Conflicts occur only on standby servers; see pg_stat_database_conflicts for details.)

temp_files bigint

Number of temporary files created by queries in this database. All temporary files are counted, regardless of why the temporary file was created (e.g., sorting or hashing), and regardless of the log_temp_files setting.

temp_bytes bigint

Total amount of data written to temporary files by queries in this database. All temporary files are counted, regardless of why the temporary file was created, and regardless of the log_temp_files setting.

deadlocks bigint

Number of deadlocks detected in this database

checksum_failures bigint

Number of data page checksum failures detected in this database (or on a shared object), or NULL if data checksums are not enabled.

checksum_last_failure timestamp with time zone

Time at which the last data page checksum failure was detected in this database (or on a shared object), or NULL if data checksums are not enabled.

blk_read_time double precision

Time spent reading data file blocks by backends in this database, in milliseconds (if track_io_timing is enabled, otherwise zero)

blk_write_time double precision

Time spent writing data file blocks by backends in this database, in milliseconds (if track_io_timing is enabled, otherwise zero)

session_time double precision

Time spent by database sessions in this database, in milliseconds (note that statistics are only updated when the state of a session changes, so if sessions have been idle for a long time, this idle time won’t be included)

active_time double precision

Time spent executing SQL statements in this database, in milliseconds (this corresponds to the states active and fastpath function call in pg_stat_activity)

idle_in_transaction_time double precision

Time spent idling while in a transaction in this database, in milliseconds (this corresponds to the states idle in transaction and idle in transaction (aborted) in pg_stat_activity)

sessions bigint

Total number of sessions established to this database

sessions_abandoned bigint

Number of database sessions to this database that were terminated because connection to the client was lost

sessions_fatal bigint

Number of database sessions to this database that were terminated by fatal errors

sessions_killed bigint

Number of database sessions to this database that were terminated by operator intervention

stats_reset timestamp with time zone

Time at which these statistics were last reset

28.2.17. pg_stat_database_conflicts #

pg_stat_database_conflicts 视图将针对每个数据库包含一行，显示有关由于与备用服务器上的还原发生冲突而导致查询取消的数据库级统计信息。此视图仅将包含有关备用服务器的信息，因为冲突不会在主服务器上发生。

The pg_stat_database_conflicts view will contain one row per database, showing database-wide statistics about query cancels occurring due to conflicts with recovery on standby servers. This view will only contain information on standby servers, since conflicts do not occur on primary servers.

Table 28.27. pg_stat_database_conflicts View

Column Type

Description

datid oid

OID of a database

datname name

Name of this database

confl_tablespace bigint

Number of queries in this database that have been canceled due to dropped tablespaces

confl_lock bigint

Number of queries in this database that have been canceled due to lock timeouts

confl_snapshot bigint

Number of queries in this database that have been canceled due to old snapshots

confl_bufferpin bigint

Number of queries in this database that have been canceled due to pinned buffers

confl_deadlock bigint

Number of queries in this database that have been canceled due to deadlocks

confl_active_logicalslot bigint

Number of uses of logical slots in this database that have been canceled due to old snapshots or too low a wal_level on the primary

28.2.18. pg_stat_all_tables #

pg_stat_all_tables 视图将为当前数据库（包括 TOAST 表）中的每个表包含一行，显示有关对该特定表访问的统计信息。 pg_stat_user_tables 和 pg_stat_sys_tables 视图包含相同的信息，但已筛选仅显示用户表和系统表。

The pg_stat_all_tables view will contain one row for each table in the current database (including TOAST tables), showing statistics about accesses to that specific table. The pg_stat_user_tables and pg_stat_sys_tables views contain the same information, but filtered to only show user and system tables respectively.

Table 28.28. pg_stat_all_tables View

Column Type

Description

relid oid

OID of a table

schemaname name

Name of the schema that this table is in

relname name

Name of this table

seq_scan bigint

Number of sequential scans initiated on this table

last_seq_scan timestamp with time zone

The time of the last sequential scan on this table, based on the most recent transaction stop time

seq_tup_read bigint

Number of live rows fetched by sequential scans

idx_scan bigint

Number of index scans initiated on this table

last_idx_scan timestamp with time zone

The time of the last index scan on this table, based on the most recent transaction stop time

idx_tup_fetch bigint

Number of live rows fetched by index scans

n_tup_ins bigint

Total number of rows inserted

n_tup_upd bigint

Total number of rows updated. (This includes row updates counted in n_tup_hot_upd and n_tup_newpage_upd, and remaining non-HOT updates.)

n_tup_del bigint

Total number of rows deleted

n_tup_hot_upd bigint

Number of rows HOT updated. These are updates where no successor versions are required in indexes.

n_tup_newpage_upd bigint

Number of rows updated where the successor version goes onto a new heap page, leaving behind an original version with a t_ctid field that points to a different heap page. These are always non-HOT updates.

n_live_tup bigint

Estimated number of live rows

n_dead_tup bigint

Estimated number of dead rows

n_mod_since_analyze bigint

Estimated number of rows modified since this table was last analyzed

n_ins_since_vacuum bigint

Estimated number of rows inserted since this table was last vacuumed

last_vacuum timestamp with time zone

Last time at which this table was manually vacuumed (not counting VACUUM FULL)

last_autovacuum timestamp with time zone

Last time at which this table was vacuumed by the autovacuum daemon

last_analyze timestamp with time zone

Last time at which this table was manually analyzed

last_autoanalyze timestamp with time zone

Last time at which this table was analyzed by the autovacuum daemon

vacuum_count bigint

Number of times this table has been manually vacuumed (not counting VACUUM FULL)

autovacuum_count bigint

Number of times this table has been vacuumed by the autovacuum daemon

analyze_count bigint

Number of times this table has been manually analyzed

autoanalyze_count bigint

Number of times this table has been analyzed by the autovacuum daemon

28.2.19. pg_stat_all_indexes #

pg_stat_all_indexes 视图将包含当前数据库中每个索引的一行，显示有关对该特定索引的访问统计信息。 pg_stat_user_indexes 和 pg_stat_sys_indexes 视图包含相同的信息，但经过筛选，分别仅显示用户索引和系统索引。

The pg_stat_all_indexes view will contain one row for each index in the current database, showing statistics about accesses to that specific index. The pg_stat_user_indexes and pg_stat_sys_indexes views contain the same information, but filtered to only show user and system indexes respectively.

Table 28.29. pg_stat_all_indexes View

Column Type

Description

relid oid

OID of the table for this index

indexrelid oid

OID of this index

schemaname name

Name of the schema this index is in

relname name

Name of the table for this index

indexrelname name

Name of this index

idx_scan bigint

Number of index scans initiated on this index

last_idx_scan timestamp with time zone

The time of the last scan on this index, based on the most recent transaction stop time

idx_tup_read bigint

Number of index entries returned by scans on this index

idx_tup_fetch bigint

Number of live table rows fetched by simple index scans using this index

索引可由简单索引扫描、“位图”索引扫描和优化器使用。在位图扫描中，可以按 AND 或 OR 规则组合多个索引的输出，因此当使用位图扫描时，将各个堆行获取与特定索引关联起来很困难。因此，位图扫描会增加它所使用的索引的 @{1}.@{2} 计数，并且会增加表的 @{3}.@{4} 计数，但它不会影响 @{5}.@{6}。优化器还会访问索引来检查所提供的已过期优化器统计信息记录范围之外值的常量，因为优化器统计信息可能过时。

Indexes can be used by simple index scans, “bitmap” index scans, and the optimizer. In a bitmap scan the output of several indexes can be combined via AND or OR rules, so it is difficult to associate individual heap row fetches with specific indexes when a bitmap scan is used. Therefore, a bitmap scan increments the pg_stat_all_indexes.idx_tup_read count(s) for the index(es) it uses, and it increments the pg_stat_all_tables.idx_tup_fetch count for the table, but it does not affect pg_stat_all_indexes.idx_tup_fetch. The optimizer also accesses indexes to check for supplied constants whose values are outside the recorded range of the optimizer statistics because the optimizer statistics might be stale.

Note

即使不使用位图扫描，idx_tup_read 和 idx_tup_fetch 的计数也可能不同，因为 idx_tup_read 统计从索引检索的索引条目，而 idx_tup_fetch 统计从表中获取的行。如果使用索引获取任何死亡或尚未提交的行，或者如果通过仅索引扫描而避免任何堆提取，则后者会较小。

The idx_tup_read and idx_tup_fetch counts can be different even without any use of bitmap scans, because idx_tup_read counts index entries retrieved from the index while idx_tup_fetch counts live rows fetched from the table. The latter will be less if any dead or not-yet-committed rows are fetched using the index, or if any heap fetches are avoided by means of an index-only scan.

28.2.20. pg_statio_all_tables #

@{7} 视图将包含当前数据库中的每张表的行（包括 TOAST 表），显示特定表上 I/O 的统计信息。@{8} 和 @{9} 视图包含相同的信息，但经过筛选仅显示用户表和系统表。

The pg_statio_all_tables view will contain one row for each table in the current database (including TOAST tables), showing statistics about I/O on that specific table. The pg_statio_user_tables and pg_statio_sys_tables views contain the same information, but filtered to only show user and system tables respectively.

Table 28.30. pg_statio_all_tables View

Column Type

Description

relid oid

OID of a table

schemaname name

Name of the schema that this table is in

relname name

Name of this table

heap_blks_read bigint

Number of disk blocks read from this table

heap_blks_hit bigint

Number of buffer hits in this table

idx_blks_read bigint

Number of disk blocks read from all indexes on this table

idx_blks_hit bigint

Number of buffer hits in all indexes on this table

toast_blks_read bigint

Number of disk blocks read from this table’s TOAST table (if any)

toast_blks_hit bigint

Number of buffer hits in this table’s TOAST table (if any)

tidx_blks_read bigint

Number of disk blocks read from this table’s TOAST table indexes (if any)

tidx_blks_hit bigint

Number of buffer hits in this table’s TOAST table indexes (if any)

28.2.21. pg_statio_all_indexes #

pg_statio_all_indexes 视图将包含当前数据库中每个索引的一行，显示此特定索引上的 I/O 统计信息。pg_statio_user_indexes 和 pg_statio_sys_indexes 视图包含相同的信息，但已筛选，分别仅显示用户和系统索引。

The pg_statio_all_indexes view will contain one row for each index in the current database, showing statistics about I/O on that specific index. The pg_statio_user_indexes and pg_statio_sys_indexes views contain the same information, but filtered to only show user and system indexes respectively.

Table 28.31. pg_statio_all_indexes View

Column Type

Description

relid oid

OID of the table for this index

indexrelid oid

OID of this index

schemaname name

Name of the schema this index is in

relname name

Name of the table for this index

indexrelname name

Name of this index

idx_blks_read bigint

Number of disk blocks read from this index

idx_blks_hit bigint

Number of buffer hits in this index

28.2.22. pg_statio_all_sequences #

pg_statio_all_sequences 视图将包含当前数据库中每个序列的一行，显示此特定序列上的 I/O 统计信息。

The pg_statio_all_sequences view will contain one row for each sequence in the current database, showing statistics about I/O on that specific sequence.

Table 28.32. pg_statio_all_sequences View

Column Type

Description

relid oid

OID of a sequence

schemaname name

Name of the schema this sequence is in

relname name

Name of this sequence

blks_read bigint

Number of disk blocks read from this sequence

blks_hit bigint

Number of buffer hits in this sequence

28.2.23. pg_stat_user_functions #

pg_stat_user_functions 视图将对每个跟踪函数包含一行，显示有关该函数执行的统计信息。 track_functions 参数精确控制要跟踪哪些函数。

The pg_stat_user_functions view will contain one row for each tracked function, showing statistics about executions of that function. The track_functions parameter controls exactly which functions are tracked.

Table 28.33. pg_stat_user_functions View

Column Type

Description

funcid oid

OID of a function

schemaname name

Name of the schema this function is in

funcname name

Name of this function

calls bigint

Number of times this function has been called

total_time double precision

Total time spent in this function and all other functions called by it, in milliseconds

self_time double precision

Total time spent in this function itself, not including other functions called by it, in milliseconds

28.2.24. pg_stat_slru #

PostgreSQL 通过 SLRU（简单的最近最少使用）缓存访问某些磁盘信息。pg_stat_slru 视图将包含跟踪的每个 SLRU 缓存的一行，显示关于缓存页面访问的统计信息。

PostgreSQL accesses certain on-disk information via SLRU (simple least-recently-used) caches. The pg_stat_slru view will contain one row for each tracked SLRU cache, showing statistics about access to cached pages.

Table 28.34. pg_stat_slru View

Column Type

Description

name text

Name of the SLRU

blks_zeroed bigint

Number of blocks zeroed during initializations

blks_hit bigint

Number of times disk blocks were found already in the SLRU, so that a read was not necessary (this only includes hits in the SLRU, not the operating system’s file system cache)

blks_read bigint

Number of disk blocks read for this SLRU

blks_written bigint

Number of disk blocks written for this SLRU

blks_exists bigint

Number of blocks checked for existence for this SLRU

flushes bigint

Number of flushes of dirty data for this SLRU

truncates bigint

Number of truncates for this SLRU

stats_reset timestamp with time zone

Time at which these statistics were last reset

28.2.25. Statistics Functions #

可以通过编写使用与上面所示标准视图使用的相同基础统计访问函数的查询来设置查看统计信息的其他方式。要了解详情（例如函数名称），请查阅标准视图的定义。（例如，在 psql 中您可以发布 \d+ pg_stat_activity。）针对每个数据库的统计信息访问函数将数据库 OID 作为参数以识别要报告的数据库。针对每个表和每个索引的函数将表或索引 OID 作为参数。针对每个函数的统计信息函数将函数 OID 作为参数。请注意，只能使用这些函数查看当前数据库中的表、索引和函数。

Other ways of looking at the statistics can be set up by writing queries that use the same underlying statistics access functions used by the standard views shown above. For details such as the functions' names, consult the definitions of the standard views. (For example, in psql you could issue \d+ pg_stat_activity.) The access functions for per-database statistics take a database OID as an argument to identify which database to report on. The per-table and per-index functions take a table or index OID. The functions for per-function statistics take a function OID. Note that only tables, indexes, and functions in the current database can be seen with these functions.

与累积统计系统相关的其他函数列在 Table 28.35 中。

Additional functions related to the cumulative statistics system are listed in Table 28.35.

Table 28.35. Additional Statistics Functions

Function

Description

pg_backend_pid () → integer

Returns the process ID of the server process attached to the current session.

pg_stat_get_activity ( integer ) → setof record

Returns a record of information about the backend with the specified process ID, or one record for each active backend in the system if NULL is specified. The fields returned are a subset of those in the pg_stat_activity view.

pg_stat_get_snapshot_timestamp () → timestamp with time zone

Returns the timestamp of the current statistics snapshot, or NULL if no statistics snapshot has been taken. A snapshot is taken the first time cumulative statistics are accessed in a transaction if stats_fetch_consistency is set to snapshot

pg_stat_get_xact_blocks_fetched ( oid ) → bigint

Returns the number of block read requests for table or index, in the current transaction. This number minus pg_stat_get_xact_blocks_hit gives the number of kernel read() calls; the number of actual physical reads is usually lower due to kernel-level buffering.

pg_stat_get_xact_blocks_hit ( oid ) → bigint

Returns the number of block read requests for table or index, in the current transaction, found in cache (not triggering kernel read() calls).

pg_stat_clear_snapshot () → void

Discards the current statistics snapshot or cached information.

pg_stat_reset () → void

Resets all statistics counters for the current database to zero.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

pg_stat_reset_shared ( text ) → void

Resets some cluster-wide statistics counters to zero, depending on the argument. The argument can be bgwriter to reset all the counters shown in the pg_stat_bgwriter view, archiver to reset all the counters shown in the pg_stat_archiver view, io to reset all the counters shown in the pg_stat_io view, wal to reset all the counters shown in the pg_stat_wal view or recovery_prefetch to reset all the counters shown in the pg_stat_recovery_prefetch view.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

pg_stat_reset_single_table_counters ( oid ) → void

Resets statistics for a single table or index in the current database or shared across all databases in the cluster to zero.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

pg_stat_reset_single_function_counters ( oid ) → void

Resets statistics for a single function in the current database to zero.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

pg_stat_reset_slru ( text ) → void

Resets statistics to zero for a single SLRU cache, or for all SLRUs in the cluster. If the argument is NULL, all counters shown in the pg_stat_slru view for all SLRU caches are reset. The argument can be one of CommitTs, MultiXactMember, MultiXactOffset, Notify, Serial, Subtrans, or Xact to reset the counters for only that entry. If the argument is other (or indeed, any unrecognized name), then the counters for all other SLRU caches, such as extension-defined caches, are reset.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

pg_stat_reset_replication_slot ( text ) → void

Resets statistics of the replication slot defined by the argument. If the argument is NULL, resets statistics for all the replication slots.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

pg_stat_reset_subscription_stats ( oid ) → void

Resets statistics for a single subscription shown in the pg_stat_subscription_stats view to zero. If the argument is NULL, reset statistics for all subscriptions.

This function is restricted to superusers by default, but other users can be granted EXECUTE to run the function.

Warning

使用 pg_stat_reset() 也会重置自动清理所使用的计数器，以确定何时触发清理或分析。重置这些计数器会导致自动清理不执行必要的工作，这会导致诸如表膨胀或过期的表统计信息等问题。统计信息被重置后，建议对整个数据库执行 ANALYZE。

Using pg_stat_reset() also resets counters that autovacuum uses to determine when to trigger a vacuum or an analyze. Resetting these counters can cause autovacuum to not perform necessary work, which can cause problems such as table bloat or out-dated table statistics. A database-wide ANALYZE is recommended after the statistics have been reset.

_pg_stat_get_activity_的底层函数_pg_stat_activity_视图会返回一组包含有关每个后端进程的所有可用信息的数据记录。有时只获取这些信息的一个子集可能会更方便。在这种情况下，可以使用另一组按后端统计信息的访问函数；它们显示在 Table 28.36中。这些访问函数使用会话的后端 ID 号，该号是一个小正整数，它不同于任何并发会话的后端 ID，尽管会话的 ID 可以在退出后立即回收。后端 ID 用于标识会话的临时模式（如果有的）。函数_pg_stat_get_backend_idset_提供了一种列出所有活动后端的 ID 号以调用这些函数的便捷方法。例如，要显示所有后端的 PID 及当前查询：

pg_stat_get_activity, the underlying function of the pg_stat_activity view, returns a set of records containing all the available information about each backend process. Sometimes it may be more convenient to obtain just a subset of this information. In such cases, another set of per-backend statistics access functions can be used; these are shown in Table 28.36. These access functions use the session’s backend ID number, which is a small positive integer that is distinct from the backend ID of any concurrent session, although a session’s ID can be recycled as soon as it exits. The backend ID is used, among other things, to identify the session’s temporary schema if it has one. The function pg_stat_get_backend_idset provides a convenient way to list all the active backends' ID numbers for invoking these functions. For example, to show the PIDs and current queries of all backends:

SELECT pg_stat_get_backend_pid(backendid) AS pid,
       pg_stat_get_backend_activity(backendid) AS query
FROM pg_stat_get_backend_idset() AS backendid;

Table 28.36. Per-Backend Statistics Functions

Function

Description

pg_stat_get_backend_activity ( integer ) → text

Returns the text of this backend’s most recent query.

pg_stat_get_backend_activity_start ( integer ) → timestamp with time zone

Returns the time when the backend’s most recent query was started.

pg_stat_get_backend_client_addr ( integer ) → inet

Returns the IP address of the client connected to this backend.

pg_stat_get_backend_client_port ( integer ) → integer

Returns the TCP port number that the client is using for communication.

pg_stat_get_backend_dbid ( integer ) → oid

Returns the OID of the database this backend is connected to.

pg_stat_get_backend_idset () → setof integer

Returns the set of currently active backend ID numbers.

pg_stat_get_backend_pid ( integer ) → integer

Returns the process ID of this backend.

pg_stat_get_backend_start ( integer ) → timestamp with time zone

Returns the time when this process was started.

pg_stat_get_backend_subxact ( integer ) → record

Returns a record of information about the subtransactions of the backend with the specified ID. The fields returned are subxact_count, which is the number of subtransactions in the backend’s subtransaction cache, and subxact_overflow, which indicates whether the backend’s subtransaction cache is overflowed or not.

pg_stat_get_backend_userid ( integer ) → oid

Returns the OID of the user logged into this backend.

pg_stat_get_backend_wait_event ( integer ) → text

Returns the wait event name if this backend is currently waiting, otherwise NULL. See Table 28.5 through Table 28.13.

pg_stat_get_backend_wait_event_type ( integer ) → text

Returns the wait event type name if this backend is currently waiting, otherwise NULL. See Table 28.4 for details.

pg_stat_get_backend_xact_start ( integer ) → timestamp with time zone

Returns the time when the backend’s current transaction was started.