Fortsetzung des Artikels „
Der Artikel untersucht und zeigt anhand konkreter Abfragen und Beispiele, welche nützlichen Informationen mithilfe des Verlaufs der pg_stat_activity-Ansicht gewonnen werden können.
Warnung.
Aufgrund der Neuartigkeit des Themas und der Unvollständigkeit des Testzeitraums kann der Artikel Fehler enthalten. Kritik und Kommentare sind willkommen und werden erwartet.
Eingabedaten
pg_stat_statements-Übermittlungsverlauf
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 );
Die Tabelle wird stündlich über dblink zur Zieldatenbank gefüllt. Natürlich die interessanteste und nützlichste Spalte in der Tabelle Abfrage-ID.
pg_stat_activity-Anzeigeverlauf
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
);
Bei der Tabelle handelt es sich um eine nach Stunden partitionierte Tabelle „history_pg_stat_activity“ (Weitere Details hier –
Ausgabe
CLUSTER-CPU-ZEIT (SYSTEM + CLIENTS)
Wunsch
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 ;
Beispiel
CLUSTER CPU TIME (SYSTEM + CLIENTS ) : 28:37:46
CLUSTER-WARTEZEIT
Wunsch
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 ;
Beispiel
CLUSTER WAITINGS TIME : 30:12:49
Gesamtwerte von pg_stat_statements
Wunsch
--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 – Gesamtausführungszeit der Abfrage
Wunsch
dbtime_total = interval '1 millisecond' * pg_total_stat_history_rec.total_time ;
Beispiel
SQL DBTIME : 136:49:36
SQL-CPU-ZEIT – CPU-Zeit, die für die Ausführung von Abfragen aufgewendet wird
Wunsch
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 ;
Beispiel
SQL CPU TIME : 27:40:15
SQL WAITINGS TIME – Gesamtwartezeit für Abfragen
Wunsch
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 ;
Beispiel
SQL WAITINGS TIME : 30:04:09
Die folgenden Abfragen sind trivial und Implementierungsdetails werden aus Platzgründen weggelassen:
Beispiel
| 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
Kommen wir zum interessantesten Abschnitt
WARTEN STATISCH
Die 10 häufigsten Wartezeiten nach Gesamtwartezeit für Kundenprozesse
Wunsch
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
Beispiel
+------------------------------------------------- ----------------------------------- | TOP 10 WARTEZEITEN NACH GESAMTWARTEZEIT FÜR SYSTEMPROZESSE +-----+------------------------------+-- ----+-------------------- | #| wait_event_type| wait_event| Dauer +-----+-------------+----------- -- -------+---------- | 1| Aktivität| LogicalLauncherMain| 10:43:28 | 2| Aktivität| AutoVacuumMain| 10:42:49 | 3| Aktivität| WalWriterMain| 10:28:53 | 4| Aktivität| CheckpointerMain| 10:23:50 | 5| Aktivität| BgWriterMain| 09:11:59 | 6| Aktivität| BgWriterHibernate| 01:37:46 | 7| IO| BufFileWrite| 00:02:35 | 8| LWLock| buffer_mapping| 00:01:54 | 9| IO| DataFileRead| 00:01:23 | 10| IO| WALWrite| 00:00:59 +-----+---------------+------- -------------+-----------
Die 10 häufigsten Wartezeiten nach Gesamtwartezeit für Kundenprozesse
Wunsch
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
Beispiel
+----------+-------------+--------- --- ---------+----------+---------- | #| wait_event_type| wait_event| Dauer| % dbtime +-----+---------------+---------- ----------+----------+---------- | 1| Sperren| Transaktions-ID| 08:16:47| 6.05 | 2| IO| DataFileRead| 06:13:41| 4.55 | 3| Zeitüberschreitung| PgSleep| 02:53:21| 2.11 | 4| LWLock| buffer_mapping| 00:40:42| 0.5 | 5| LWLock| buffer_io| 00:17:17| 0.21 | 6| IO| BufFileWrite| 00:01:34| 0.02 | 7| Sperren| Tupel| 00:01:32| 0.02 | 8| Kunde| ClientRead| 00:01:19| 0.02 | 9| IO| BufFileRead| 00:00:37| 0.01 | 10| LWLock| buffer_content| 00:00:08| 0 +-----+-------------+----------- -- -------+-----------+----------
WARTEARTEN NACH GESAMTWARTEZEIT FÜR SYSTEMPROZESSE
Wunsch
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
Beispiel
+----------+-------------+--------- --- -------- | #| wait_event_type| Dauer +-----+-------------+----------- -- ------- | 1| Aktivität| 53:08:45 | 2| IO| 00:06:24 | 3| LWLock| 00:03:02 +-----+---------------+------- -------------
WARTEARTEN NACH GESAMTWARTEZEIT, FÜR KUNDENPROZESSE
Wunsch
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
Beispiel
+----------+-------------+--------- --- ---------+---------- | #| wait_event_type| Dauer| % dbtime +-----+---------------+---------- ----------+------ | 1| Sperren| 08:18:19| 6.07 | 2| IO| 06:16:01| 4.58 | 3| Zeitüberschreitung| 02:53:21| 2.11 | 4| LWLock| 00:58:12| 0.71 | 5| Kunde| 00:01:19| 0.02 | 6| IPC| 00:00:04| 0 +-----+-------------+----------- -- -------+--------------------
Wartezeiten für Systemprozesse und einzelne Anfragen.
WARTEN AUF SYSTEMPROZESSE
Wunsch
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
Beispiel
+-----+-----------------------------+----------+--------------------+----------------------+-------------------- | #| 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 – wartet auf einzelne Abfragen nach Abfrage-ID
Wunsch
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
Beispiel
+-----+-------------------------+----------+--------------------+--------------------+--------------------+-------------------- | #| 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 STATICICS – TOP-Abfragen
Empfangsanfragen sind wiederum trivial und werden aus Platzgründen nicht gestellt.
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 +--------------------+----------+----------+----------+----------+----------+----------+--------------------
Ergebnis
Mithilfe der übermittelten Abfragen und der daraus resultierenden Berichte können Sie sich ein umfassenderes Bild zur Analyse und Lösung von Problemen mit Leistungseinbußen für einzelne Abfragen und den gesamten Cluster als Ganzes verschaffen.
Entwicklung
Die bisherigen Entwicklungspläne lauten wie folgt:
- Ergänzen Sie die Berichterstattung mit der Sperrhistorie. Anfragen werden getestet und in Kürze eingereicht.
- Verwenden Sie die TimescaleDB-Erweiterung, um den Verlauf von pg_stat_activity und pg_locks zu speichern.
- Bereiten Sie eine Paketlösung auf Github für den Masseneinsatz in Produktionsbasen vor.
To be continued ...
Source: habr.com