PostgreSQL에서 워크로드 프로필 및 대기 기록을 가져오는 한 가지 방법

기사 계속 “PostgreSQL용 ASH 아날로그를 생성하려는 시도 ".

이 기사에서는 특정 쿼리와 예제를 사용하여 pg_stat_activity 뷰의 기록을 사용하여 어떤 유용한 정보를 얻을 수 있는지 조사하고 보여줍니다.

경고
주제의 참신함과 완료되지 않은 테스트 기간으로 인해 기사에 오류가 있을 수 있습니다. 비판과 논평은 적극 환영하고 기대합니다.

입력 데이터

pg_stat_statements 제출 기록

pg_stat_history

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 );

테이블은 대상 데이터베이스에 대한 dblink를 사용하여 매시간 채워집니다. 물론 테이블에서 가장 흥미롭고 유용한 열입니다. 쿼리ID.

pg_stat_activity 보기 기록

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
);

테이블은 시간별로 분할된 History_pg_stat_activity 테이블입니다(자세한 내용은 여기에서 확인하세요 - pg_stat_statements + pg_stat_activity + loq_query = pg_ash? 그리고 여기 - PostgreSQL용 ASH 유사체를 생성하려는 시도입니다.)

출력

클러스터 CPU 시간(시스템 + 클라이언트)

주장

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 ;

예

CLUSTER CPU TIME (SYSTEM + CLIENTS ) : 28:37:46

클러스터 대기 시간

주장

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 ;

예

CLUSTER WAITINGS TIME : 30:12:49

총 pg_stat_statements 값

주장

 --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 - 총 쿼리 실행 시간

주장

dbtime_total = interval '1 millisecond' * pg_total_stat_history_rec.total_time ;

예

SQL DBTIME : 136:49:36

SQL CPU TIME - 쿼리 실행에 소요된 CPU 시간

주장

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 ;

예

SQL CPU TIME : 27:40:15

SQL WAITINGS TIME - 쿼리에 대한 총 대기 시간

주장

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 ;

예

SQL WAITINGS TIME : 30:04:09

다음 쿼리는 간단하며 공간을 절약하기 위해 구현 세부 사항은 생략됩니다.

예

| 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

가장 흥미로운 섹션으로 넘어가겠습니다.

대기 시간은 정적입니다.

클라이언트 프로세스의 총 대기 시간 기준 상위 10개 대기

주장

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

예

+------------------------------------------------- ---------------------- | 시스템 프로세스의 총 대기 시간 기준 상위 10개 대기 +------+------------------+-- ------+--------- | #| wait_event_type| wait_event| 기간 +------+---------------+------------- -----+------------ | 1| 활동| 논리런처메인| 10:43:28 | 2| 활동| 자동 진공 메인| 10:42:49 | 3| 활동| WalWriter메인| 10:28:53 | 4| 활동| 체크포인터메인| 10:23:50 | 5| 활동| BgWriter메인| 09:11:59 | 6| 활동| BgWriter최대 절전 모드| 01:37:46 | 7| IO| Buf파일쓰기| 00:02:35 | 8| LW잠금| buffer_mapping| 00:01:54 | 9| IO| 데이터파일읽기| 00:01:23 | 10| IO| WAL쓰기| 00:00:59 +------+------------------+------- ------------+------------

클라이언트 프로세스의 총 대기 시간 기준 상위 10개 대기

주장

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

예

+---------+---------------+--------- --- ---------+----------+------------ | #| wait_event_type| wait_event| 기간| % dbtime +------+------------------+---------- --------+----------+---------- | 1| 잠금| 거래ID| 08:16:47| 6.05 | 2| IO| 데이터파일읽기| 06:13:41| 4.55 | 3| 시간 초과| Pg수면| 02:53:21| 2.11 | 4| LW잠금| buffer_mapping| 00:40:42| 0.5 | 5| LW잠금| buffer_io| 00:17:17| 0.21 | 6| IO| Buf파일쓰기| 00:01:34| 0.02 | 7| 잠금| 튜플| 00:01:32| 0.02 | 8| 클라이언트| 클라이언트읽기| 00:01:19| 0.02 | 9| IO| Buf파일읽기| 00:00:37| 0.01 | 10| LW잠금| 버퍼 내용| 00:00:08| 0 +------+---------------+------------- --------+------------+----------

시스템 프로세스에 대한 총 대기 시간별 대기 유형

주장

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

예

+---------+---------------+--------- --- -------- | #| wait_event_type| 기간 +------+---------------+------------- ------- | 1| 활동| 53:08:45 | 2| IO| 00:06:24 | 3| LW잠금| 00:03:02 +------+-------------------+------- -------------

클라이언트 프로세스에 대한 총 대기 시간별 대기 유형

주장

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

예

+---------+---------------+--------- --- -------+---------- | #| wait_event_type| 기간| % dbtime +------+------------------+---------- --------+--------- | 1| 잠금| 08:18:19| 6.07 | 2| IO| 06:16:01| 4.58 | 3| 시간 초과| 02:53:21| 2.11 | 4| LW잠금| 00:58:12| 0.71 | 5| 클라이언트| 00:01:19| 0.02 | 6| IPC| 00:00:04| 0 +------+---------------+------------- -----+---------

시스템 프로세스 및 개별 요청의 대기 시간입니다.

시스템 프로세스를 기다리는 중

주장

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

예

+-----+-----------------------------+----------+--------------------+----------------------+--------------------
|    #|                 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 - queryid별로 개별 쿼리를 기다립니다.

주장

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 

예

+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------
|    #|                  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|
+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------

CLIENT SQL 통계 - TOP 쿼리

수신 요청은 다시 사소하며 공간을 절약하기 위해 제공되지 않습니다.

예

+------------------------------------------------------------------------------------
| 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
+--------------------+----------+----------+----------+----------+----------+----------+--------------------

합계

제출된 쿼리와 결과 보고를 사용하면 개별 쿼리와 전체 클러스터의 성능 저하 문제를 분석하고 해결하기 위한 보다 완전한 그림을 얻을 수 있습니다.

개발

현재까지의 개발 계획은 다음과 같습니다.

• 차단 기록으로 보고를 보완합니다. 요청은 테스트 중이며 곧 제출될 예정입니다.
• TimescaleDB 확장을 사용하여 pg_stat_activity 및 pg_locks 기록을 저장합니다.
• 생산 기지에 대량 배포하기 위해 github에서 패키지 솔루션을 준비하세요.

계속 될 ...

출처 : habr.com