文章繼續““。
本文將使用特定的查詢和範例來檢查並展示使用 pg_stat_activity 視圖的歷史記錄可以獲得哪些有用的資訊。
警告。
由於主題新穎且測試期尚未完成，文章可能包含錯誤。 強烈歡迎和期待批評和意見。
輸入數據
pg_stat_statements 提交歷史記錄
pg_stat_歷史記錄
CREATE TABLE pg_stat_history (
id SERIAL,
snapshot_timestamp timestamp without time zone,
database_id integer,
dbid oid,
userid oid,
queryid bigint,
query text,
calls bigint,
total_time double precision,
min_time double precision,
max_time double precision,
mean_time double precision,
stddev_time double precision,
rows bigint,
shared_blks_hit bigint,
shared_blks_read bigint,
shared_blks_dirtied bigint,
shared_blks_written bigint,
local_blks_hit bigint,
local_blks_read bigint,
local_blks_dirtied bigint,
local_blks_written bigint,
temp_blks_read bigint,
temp_blks_written bigint,
blk_read_time double precision,
blk_write_time double precision,
baseline_id integer );使用 dblink 到目標資料庫每小時填入該表。 當然是表中最有趣、最有用的一欄 查詢ID.
pg_stat_activity 查看歷史記錄
archive_pg_stat_activity
CREATE TABLE archive_pg_stat_activity
(
timepoint timestamp without time zone,
datid oid,
datname name,
pid integer,
usesysid oid,
usename name,
application_name text,
client_addr inet,
client_hostname text,
client_port integer,
backend_start timestamp without time zone,
xact_start timestamp without time zone,
query_start timestamp without time zone,
state_change timestamp without time zone,
wait_event_type text,
wait_event text,
state text,
backend_xid xid,
backend_xmin xid,
query text,
backend_type text,
queryid bigint
);表格是按小時分區的history_pg_stat_activity表（更多詳細資訊請參閱 - 和這裡 -
輸出
叢集 CPU 時間（系統 + 客戶端）
詢問
WITH
t AS
(
SELECT
date_trunc('second', timepoint)
FROM activity_hist.archive_pg_stat_activity aa
WHERE timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND
( aa.wait_event_type IS NULL ) AND
aa.state = 'active'
)
SELECT count(*)
INTO cpu_total
FROM t ;例子
CLUSTER CPU TIME (SYSTEM + CLIENTS ) : 28:37:46集群等待時間
詢問
WITH
t AS
(
SELECT
date_trunc('second', timepoint)
FROM activity_hist.archive_pg_stat_activity aa
WHERE timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND
( aa.wait_event_type IS NOT NULL ) AND
aa.state = 'active'
)
SELECT count(*)
INTO cpu_total
FROM t ;例子
CLUSTER WAITINGS TIME : 30:12:49pg_stat_statements 總值
詢問
--TOTAL pg_stat
SELECT
SUM(calls) AS calls, SUM(total_time) AS total_time, SUM(rows) AS rows ,
SUM(shared_blks_hit) AS shared_blks_hit,SUM(shared_blks_read) AS shared_blks_read ,
SUM(shared_blks_dirtied) AS shared_blks_dirtied,SUM(shared_blks_written) AS shared_blks_written ,
SUM(local_blks_hit) AS local_blks_hit , SUM(local_blks_read) AS local_blks_read ,
SUM(local_blks_dirtied) AS local_blks_dirtied , SUM(local_blks_written) AS local_blks_written,
SUM(temp_blks_read) AS temp_blks_read, SUM(temp_blks_written) temp_blks_written ,
SUM(blk_read_time) AS blk_read_time , SUM(blk_write_time) AS blk_write_time
INTO
pg_total_stat_history_rec
FROM
pg_stat_history
WHERE
snapshot_timestamp BETWEEN pg_stat_history_begin AND pg_stat_history_end AND
queryid IS NULL;SQL DBTIME - 總查詢執行時間
詢問
dbtime_total = interval '1 millisecond' * pg_total_stat_history_rec.total_time ;例子
SQL DBTIME : 136:49:36SQL CPU TIME - 執行查詢所花費的 CPU 時間
詢問
WITH
t AS
(
SELECT
date_trunc('second', timepoint)
FROM activity_hist.archive_pg_stat_activity aa
WHERE timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND
( aa.wait_event_type IS NULL ) AND
backend_type = 'client backend' AND
aa.state = 'active'
)
SELECT count(*)
INTO cpu_total
FROM t ;例子
SQL CPU TIME : 27:40:15SQL WAITINGS TIME - 查詢的總等待時間
詢問
WITH
t AS
(
SELECT
date_trunc('second', timepoint)
FROM activity_hist.archive_pg_stat_activity aa
WHERE timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND
( aa.wait_event_type IS NOT NULL ) AND
aa.state = 'active' AND
backend_type = 'client backend'
)
SELECT count(*)
INTO waiting_total
FROM t ;例子
SQL WAITINGS TIME : 30:04:09以下查詢很簡單，為了節省空間省略了實作細節：
例子
| SQL IOTIME : 19:44:50
| SQL READ TIME : 19:44:32
| SQL WRITE TIME : 00:00:17
|
| SQL CALLS : 12188248
-------------------------------------------------------------
| SQL SHARED BLOCKS READS : 7997039120
| SQL SHARED BLOCKS HITS : 8868286092
| SQL SHARED BLOCKS HITS/READS % : 110.89
| SQL SHARED BLOCKS DIRTED : 419945
| SQL SHARED BLOCKS WRITTEN : 19857
|
| SQL TEMPORARY BLOCKS READS : 7836169
| SQL TEMPORARY BLOCKS WRITTEN : 10683938
讓我們進入最有趣的部分
等待靜電
依客戶流程總等待時間排名前 10 名的等待
詢問
SELECT
wait_event_type , wait_event ,
get_system_waiting_duration( wait_event_type , wait_event ,pg_stat_history_begin+(current_hour_diff * interval '1 hour') ,pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration
FROM
activity_hist.archive_pg_stat_activity aa
WHERE
timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type != 'client backend' AND wait_event_type IS NOT NULL
GROUP BY
wait_event_type, wait_event
ORDER BY 3 DESC
LIMIT 10例子
+------------------------------------------------ - ---------------------------------- | 依系統進程總等待時間排列的前10 位元等待+-----+------------------------------- -------------+-- ------------------+--------------- ----- | #| 等待事件類型| 等待事件| 持續時間+----------------+----------------------------+- ----------- -- -------+---------- | 1| 活動| 邏輯啟動器主| 10:43:28 | 2:10:42 49| 活動| AutoVacuum主要| 3:10:28 | 53:4:10 23| 活動| 沃爾作家主要| 50:5:09 | 11:59:6 01| 活動| 檢查點主要| 37:46:7 | 00:02:35 8| 活動| BgWriterMain| 00:01:54 | 9:00:01 23| 活動| BgWriterHibernate| 10:00:00 | 59:XNUMX:XNUMX XNUMX| IO| Buf檔寫入| XNUMX:XNUMX:XNUMX | XNUMX:XNUMX:XNUMX XNUMX| LWLock| 緩衝區映射| XNUMX:XNUMX:XNUMX | XNUMX:XNUMX:XNUMX XNUMX| IO| 資料檔讀取| XNUMX:XNUMX:XNUMX | XNUMX:XNUMX:XNUMX XNUMX| IO| WAL寫| XNUMX:XNUMX:XNUMX +-----+----------------------------+-------- - -----------+------------
依客戶流程總等待時間排名前 10 名的等待
詢問
SELECT
wait_event_type , wait_event ,
get_clients_waiting_duration( wait_event_type , wait_event , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration
FROM
activity_hist.archive_pg_stat_activity aa
WHERE
timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type = 'client backend' AND wait_event_type IS NOT NULL
GROUP BY wait_event_type, wait_event
ORDER BY 3 DESC
LIMIT 10例子
+----------+----------------------------+--------- --- ---------+----------+---------- | #| 等待事件類型| 等待事件| 持續時間| % dbtime +-----+----------------------------+------------ ----------+----------+---------- | 1| 鎖| 交易ID| 08:16:47| 6.05 | 2 06| IO| 資料檔讀取| 13:41:4.55| 3 | 02 53| 超時| Pg睡眠| 21:2.11:4| 00 | 40 42| LWLock| 緩衝區映射| 0.5:5:00| 17 | 17 0.21| LWLock| 緩衝區io| 6:00:01| 34 | 0.02 7| IO| Buf檔寫入| 00:01:32| 0.02 | 8 00| 鎖| 元組| 01:19:0.02| 9 | 00 00| 客戶| 客戶閱讀| 37:0.01:10| 00 | 00 08| IO| 緩衝區檔案讀取| 0:XNUMX:XNUMX| XNUMX | XNUMX XNUMX| LWLock| 緩衝區內容| XNUMX:XNUMX:XNUMX| XNUMX +----------------+--------------------------------+-- ---------- -- -------+------------+----------
系統進程的等待類型（按總等待時間）
詢問
SELECT
wait_event_type ,
get_system_waiting_type_duration( wait_event_type , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration
FROM
activity_hist.archive_pg_stat_activity aa
WHERE
timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type != 'client backend' AND wait_event_type IS NOT NULL
GROUP BY wait_event_type
ORDER BY 2 DESC例子
+----------+----------------------------+--------- --- -------- | #| 等待事件類型| 持續時間+----------------+----------------------------+- ----------- -- -------- | 1| 活動| 53:08:45 | 2:00:06 24| IO| 3:00:03 | 02:XNUMX:XNUMX XNUMX| LWLock| XNUMX:XNUMX:XNUMX +-----+-------------------------------------- ------+-------- -------------
客戶流程的等待類型（按總等待時間）
詢問
SELECT
wait_event_type ,
get_clients_waiting_type_duration( wait_event_type , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration
FROM
activity_hist.archive_pg_stat_activity aa
WHERE
timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type = 'client backend' AND wait_event_type IS NOT NULL
GROUP BY wait_event_type
ORDER BY 2 DESC例子
+----------+----------------------------+--------- --- ---------+---------- | #| 等待事件類型| 持續時間| % dbtime +-----+----------------------------+------------ ----------+-------------------- | 1| 鎖| 08:18:19| 6.07 | 2 06| IO| 16:01:4.58| 3 | 02 53| 超時| 21:2.11:4| 00 | 58 12| LWLock| 0.71:5:00| 01 | 19 0.02| 客戶| 6:00:00| 04 | 0 XNUMX| 工控機| XNUMX:XNUMX:XNUMX| XNUMX +----------------+--------------------------------+-- ---------- -- -------+--------------------
系統進程和單一請求的等待持續時間。
等待系統進程
詢問
SELECT
backend_type , datname , wait_event_type , wait_event , get_backend_type_waiting_duration( backend_type , wait_event_type , wait_event , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration
FROM
activity_hist.archive_pg_stat_activity aa
WHERE
timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type != 'client backend' AND wait_event_type IS NOT NULL
GROUP BY backend_type , datname , wait_event_type , wait_event
ORDER BY 5 DESC例子
+-----+-----------------------------+----------+--------------------+----------------------+-------------------- | #| backend_type| dbname| wait_event_type| wait_event| duration +-----+-----------------------------+----------+--------------------+----------------------+-------------------- | 1| logical replication launcher| | Activity| LogicalLauncherMain| 10:43:28 | 2| autovacuum launcher| | Activity| AutoVacuumMain| 10:42:49 | 3| walwriter| | Activity| WalWriterMain| 10:28:53 | 4| checkpointer| | Activity| CheckpointerMain| 10:23:50 | 5| background writer| | Activity| BgWriterMain| 09:11:59 | 6| background writer| | Activity| BgWriterHibernate| 01:37:46 | 7| parallel worker| tdb1| IO| BufFileWrite| 00:02:35 | 8| parallel worker| tdb1| LWLock| buffer_mapping| 00:01:41 | 9| parallel worker| tdb1| IO| DataFileRead| 00:01:22 | 10| parallel worker| tdb1| IO| BufFileRead| 00:00:59 | 11| walwriter| | IO| WALWrite| 00:00:57 | 12| parallel worker| tdb1| LWLock| buffer_io| 00:00:47 | 13| autovacuum worker| tdb1| LWLock| buffer_mapping| 00:00:13 | 14| background writer| | IO| DataFileWrite| 00:00:12 | 15| checkpointer| | IO| DataFileWrite| 00:00:11 | 16| walwriter| | LWLock| WALWriteLock| 00:00:09 | 17| checkpointer| | LWLock| WALWriteLock| 00:00:06 | 18| background writer| | LWLock| WALWriteLock| 00:00:06 | 19| walwriter| | IO| WALInitWrite| 00:00:02 | 20| autovacuum worker| tdb1| LWLock| WALWriteLock| 00:00:02 | 21| walwriter| | IO| WALInitSync| 00:00:02 | 22| autovacuum worker| tdb1| IO| DataFileRead| 00:00:01 | 23| checkpointer| | IO| ControlFileSyncUpdate| 00:00:01 | 24| background writer| | IO| WALWrite| 00:00:01 | 25| background writer| | IO| DataFileFlush| 00:00:01 | 26| checkpointer| | IO| SLRUFlushSync| 00:00:01 | 27| autovacuum worker| tdb1| IO| WALWrite| 00:00:01 | 28| checkpointer| | IO| DataFileSync| 00:00:01 +-----+-----------------------------+----------+--------------------+----------------------+--------------------
WAITINGS FOR SQL - 等待 queryid 的單一查詢
詢問
SELECT
queryid , datname , wait_event_type , wait_event , get_query_waiting_duration( queryid , wait_event_type , wait_event , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration
FROM
activity_hist.archive_pg_stat_activity aa
WHERE
timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type = 'client backend' AND wait_event_type IS NOT NULL AND queryid IS NOT NULL
GROUP BY queryid , datname , wait_event_type , wait_event
ORDER BY 1 , 5 DESC 例子
+-----+-------------------------+----------+--------------------+--------------------+--------------------+-------------------- | #| queryid| dbname| wait_event_type| wait_event| waitings| total | | | | | | duration| duration +-----+-------------------------+----------+--------------------+--------------------+--------------------+-------------------- | 1| -8247416849404883188| tdb1| Client| ClientRead| 00:00:02| | 2| -6572922443698419129| tdb1| Client| ClientRead| 00:00:05| | 3| -6572922443698419129| tdb1| IO| DataFileRead| 00:00:01| | 4| -5917408132400665328| tdb1| Client| ClientRead| 00:00:04| | 5| -4091009262735781873| tdb1| Client| ClientRead| 00:00:03| | 6| -1473395109729441239| tdb1| Client| ClientRead| 00:00:01| | 7| 28942442626229688| tdb1| IO| BufFileWrite| 00:01:34| 00:46:06 | 8| 28942442626229688| tdb1| LWLock| buffer_mapping| 00:01:05| 00:46:06 | 9| 28942442626229688| tdb1| IO| DataFileRead| 00:00:44| 00:46:06 | 10| 28942442626229688| tdb1| IO| BufFileRead| 00:00:37| 00:46:06 | 11| 28942442626229688| tdb1| LWLock| buffer_io| 00:00:35| 00:46:06 | 12| 28942442626229688| tdb1| Client| ClientRead| 00:00:05| 00:46:06 | 13| 28942442626229688| tdb1| IPC| MessageQueueReceive| 00:00:03| 00:46:06 | 14| 28942442626229688| tdb1| IPC| BgWorkerShutdown| 00:00:01| 00:46:06 | 15| 389015618226997618| tdb1| Lock| transactionid| 03:55:09| 04:14:15 | 16| 389015618226997618| tdb1| IO| DataFileRead| 03:23:09| 04:14:15 | 17| 389015618226997618| tdb1| LWLock| buffer_mapping| 00:12:09| 04:14:15 | 18| 389015618226997618| tdb1| LWLock| buffer_io| 00:10:18| 04:14:15 | 19| 389015618226997618| tdb1| Lock| tuple| 00:00:35| 04:14:15 | 20| 389015618226997618| tdb1| LWLock| WALWriteLock| 00:00:02| 04:14:15 | 21| 389015618226997618| tdb1| IO| DataFileWrite| 00:00:01| 04:14:15 | 22| 389015618226997618| tdb1| LWLock| SyncScanLock| 00:00:01| 04:14:15 | 23| 389015618226997618| tdb1| Client| ClientRead| 00:00:01| 04:14:15 | 24| 734234407411547467| tdb1| Client| ClientRead| 00:00:11| | 25| 734234407411547467| tdb1| LWLock| buffer_mapping| 00:00:05| | 26| 734234407411547467| tdb1| IO| DataFileRead| 00:00:02| | 27| 1237430309438971376| tdb1| LWLock| buffer_mapping| 00:02:18| 02:45:40 | 28| 1237430309438971376| tdb1| IO| DataFileRead| 00:00:27| 02:45:40 | 29| 1237430309438971376| tdb1| Client| ClientRead| 00:00:02| 02:45:40 | 30| 2404820632950544954| tdb1| Client| ClientRead| 00:00:01| | 31| 2515308626622579467| tdb1| Client| ClientRead| 00:00:02| | 32| 4710212362688288619| tdb1| LWLock| buffer_mapping| 00:03:08| 02:18:21 | 33| 4710212362688288619| tdb1| IO| DataFileRead| 00:00:22| 02:18:21 | 34| 4710212362688288619| tdb1| Client| ClientRead| 00:00:06| 02:18:21 | 35| 4710212362688288619| tdb1| LWLock| buffer_io| 00:00:02| 02:18:21 | 36| 9150846928388977274| tdb1| IO| DataFileRead| 00:01:19| | 37| 9150846928388977274| tdb1| LWLock| buffer_mapping| 00:00:34| | 38| 9150846928388977274| tdb1| Client| ClientRead| 00:00:10| | 39| 9150846928388977274| tdb1| LWLock| buffer_io| 00:00:01| +-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------
客戶端 SQL 統計 - 熱門查詢
接收請求同樣是微不足道的，不會為了節省空間而給予。
Примеры
+------------------------------------------------------------------------------------ | CLIENT SQL ordered by Elapsed Time +--------------------+----------+----------+----------+----------+----------+-------------------- | elapsed time| calls| % dbtime| % CPU| % IO| dbname| queryid +--------------------+----------+----------+----------+----------+----------+-------------------- | 04:14:15| 19| 3.1| 10.83| 11.52| tdb1| 389015618226997618 | 02:45:40| 746| 2.02| 4.23| 0.08| tdb1| 1237430309438971376 | 02:18:21| 749| 1.69| 3.39| 0.1| tdb1| 4710212362688288619 | 00:46:06| 375| 0.56| 0.94| 0.41| tdb1| 28942442626229688 +--------------------+----------+----------+----------+----------+----------+-------------------- | CLIENT SQL ordered by CPU Time +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | cpu time| calls| % dbtime|total_time| % CPU| % IO| dbname| queryid +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | 02:59:49| 19| 3.1| 04:14:15| 10.83| 11.52| tdb1| 389015618226997618 | 01:10:12| 746| 2.02| 02:45:40| 4.23| 0.08| tdb1| 1237430309438971376 | 00:56:15| 749| 1.69| 02:18:21| 3.39| 0.1| tdb1| 4710212362688288619 | 00:15:35| 375| 0.56| 00:46:06| 0.94| 0.41| tdb1| 28942442626229688 +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | CLIENT SQL ordered by User I/O Wait Time +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | io_wait time| calls| % dbtime|total_time| % CPU| % IO| dbname| queryid +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | 03:23:10| 19| 3.1| 04:14:15| 10.83| 11.52| tdb1| 389015618226997618 | 00:02:54| 375| 0.56| 00:46:06| 0.94| 0.41| tdb1| 28942442626229688 | 00:00:27| 746| 2.02| 02:45:40| 4.23| 0.08| tdb1| 1237430309438971376 | 00:00:22| 749| 1.69| 02:18:21| 3.39| 0.1| tdb1| 4710212362688288619 +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | CLIENT SQL ordered by Shared Buffers Reads +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | buffers reads| calls| % dbtime|total_time| % CPU| % IO| dbname| queryid +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | 1056388566| 19| 3.1| 04:14:15| 10.83| 11.52| tdb1| 389015618226997618 | 11709251| 375| 0.56| 00:46:06| 0.94| 0.41| tdb1| 28942442626229688 | 3439004| 746| 2.02| 02:45:40| 4.23| 0.08| tdb1| 1237430309438971376 | 3373330| 749| 1.69| 02:18:21| 3.39| 0.1| tdb1| 4710212362688288619 +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | CLIENT SQL ordered by Disk Reads Time +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | read time| calls| % dbtime|total_time| % CPU| % IO| dbname| queryid +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | 02:16:30| 19| 3.1| 04:14:15| 10.83| 11.52| tdb1| 389015618226997618 | 00:04:50| 375| 0.56| 00:46:06| 0.94| 0.41| tdb1| 28942442626229688 | 00:01:10| 749| 1.69| 02:18:21| 3.39| 0.1| tdb1| 4710212362688288619 | 00:00:57| 746| 2.02| 02:45:40| 4.23| 0.08| tdb1| 1237430309438971376 +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | CLIENT SQL ordered by Executions +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | calls| rows| % dbtime|total_time| % CPU| % IO| dbname| queryid +--------------------+----------+----------+----------+----------+----------+----------+-------------------- | 749| 749| 1.69| 02:18:21| 3.39| 0.1| tdb1| 4710212362688288619 | 746| 746| 2.02| 02:45:40| 4.23| 0.08| tdb1| 1237430309438971376 | 375| 0| 0.56| 00:46:06| 0.94| 0.41| tdb1| 28942442626229688 | 19| 19| 3.1| 04:14:15| 10.83| 11.52| tdb1| 389015618226997618 +--------------------+----------+----------+----------+----------+----------+----------+--------------------
總
使用提交的查詢和產生的報告，您可以更全面地了解和解決單一查詢和整個叢集的效能下降問題。
發展
目前開發計畫如下：
- 用阻止歷史記錄補充報告。 請求正在測試中，並將很快提交。
- 使用 TimescaleDB 擴充功能來儲存 pg_stat_activity 和 pg_locks 歷史記錄。
- 在github上準備一個打包解決方案，用於生產基地的大規模部署。
待續...
來源： www.habr.com