लेख की निरंतरता "
लेख विशिष्ट प्रश्नों और उदाहरणों का उपयोग करके जांच करेगा और दिखाएगा कि pg_stat_activity दृश्य के इतिहास का उपयोग करके कौन सी उपयोगी जानकारी प्राप्त की जा सकती है।
चेतावनी।
विषय की नवीनता और अधूरी परीक्षण अवधि के कारण लेख में त्रुटियाँ हो सकती हैं। आलोचना और टिप्पणियों का जोरदार स्वागत और अपेक्षा की जाती है।
इनपुट डेटा
pg_stat_statements सबमिशन इतिहास
pg_stat_इतिहास
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 );
लक्ष्य डेटाबेस में dblink का उपयोग करके तालिका हर घंटे भर जाती है। बेशक, तालिका में सबसे दिलचस्प और उपयोगी कॉलम queryid.
pg_stat_activity इतिहास देखें
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
);
तालिका एक इतिहास_पीजी_स्टैट_एक्टिविटी तालिका है जो घंटे के हिसाब से विभाजित है (अधिक विवरण यहां -
उत्पादन
क्लस्टर सीपीयू समय (सिस्टम + ग्राहक)
जांच
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 ;
उदाहरण
CLUSTER CPU TIME (SYSTEM + CLIENTS ) : 28:37:46
क्लस्टर प्रतीक्षा समय
जांच
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 ;
उदाहरण
CLUSTER WAITINGS TIME : 30:12:49
कुल pg_stat_statements मान
जांच
--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 - कुल क्वेरी निष्पादन समय
जांच
dbtime_total = interval '1 millisecond' * pg_total_stat_history_rec.total_time ;
उदाहरण
SQL DBTIME : 136:49:36
एसक्यूएल सीपीयू समय - सीपीयू समय प्रश्नों को निष्पादित करने में व्यतीत हुआ
जांच
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 ;
उदाहरण
SQL CPU TIME : 27:40:15
एसक्यूएल प्रतीक्षा समय - प्रश्नों के लिए कुल प्रतीक्षा समय
जांच
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 ;
उदाहरण
SQL WAITINGS TIME : 30:04:09
निम्नलिखित प्रश्न तुच्छ हैं और स्थान बचाने के लिए कार्यान्वयन विवरण छोड़े गए हैं:
उदाहरण
| 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
आइए सबसे दिलचस्प अनुभाग पर चलते हैं
प्रतीक्षा स्थिर
ग्राहकों की प्रक्रियाओं के लिए कुल प्रतीक्षा समय के अनुसार शीर्ष 10 प्रतीक्षाएँ
जांच
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
उदाहरण
+---------------------------------------------------------------- -------------------------------------- | सिस्टम प्रक्रियाओं के लिए कुल प्रतीक्षा समय के आधार पर शीर्ष 10 प्रतीक्षाएँ +-----+------------------------------------------------+-- ------------------+-------------------- | #| प्रतीक्षा_घटना_प्रकार| प्रतीक्षा_घटना| अवधि +----+--------------------------------+-------- --------+------- | 1| गतिविधि| लॉजिकल लॉन्चरमेन| 10:43:28 | 2| गतिविधि| ऑटोवैक्यूममेन| 10:42:49 | 3| गतिविधि| WalWriterMain| 10:28:53 | 4| गतिविधि| चेकप्वाइंटरमेन| 10:23:50 | 5| गतिविधि| बीजीराइटरमेन| 09:11:59 | 6| गतिविधि| बीजीराइटरहाइबरनेट| 01:37:46 | 7| आईओ| बफ़फ़ाइलराइट| 00:02:35 | 8| LWलॉक| बफ़र_मैपिंग| 00:01:54 | 9| आईओ| डेटा फ़ाइल पढ़ें| 00:01:23 | 10| आईओ| वालराइट| 00:00:59 +-----+---------------------------------+------- ------------------+-------
ग्राहकों की प्रक्रियाओं के लिए कुल प्रतीक्षा समय के अनुसार शीर्ष 10 प्रतीक्षाएँ
जांच
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
उदाहरण
+-------+--------------------------------+------ --- --------+-------+------- | #| प्रतीक्षा_घटना_प्रकार| प्रतीक्षा_घटना| अवधि| % डीबीटाइम +-----+---------------------------------+---- --------+-------+------- | 1| ताला| ट्रांजेक्शनआईडी| 08:16:47| 6.05 | 2| आईओ| डेटा फ़ाइल पढ़ें| 06:13:41| 4.55 | 3| टाइमआउट| Pgनींद| 02:53:21| 2.11 | 4| LWलॉक| बफ़र_मैपिंग| 00:40:42| 0.5 | 5| LWलॉक| बफ़र_आईओ| 00:17:17| 0.21 | 6| आईओ| बफ़फ़ाइलराइट| 00:01:34| 0.02 | 7| ताला| टुपल| 00:01:32| 0.02 | 8| ग्राहक| क्लाइंटरीड| 00:01:19| 0.02 | 9| आईओ| बफ़फ़ाइलरीड| 00:00:37| 0.01 | 10| LWलॉक| बफ़र_सामग्री| 00:00:08| 0 +-----+--------------------------------+-------- --------+-------+-------
सिस्टम प्रक्रियाओं के लिए कुल प्रतीक्षा समय के अनुसार प्रतीक्षा प्रकार
जांच
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
उदाहरण
+-------+--------------------------------+------ --- -------- | #| प्रतीक्षा_घटना_प्रकार| अवधि +----+--------------------------------+-------- ------- | 1| गतिविधि| 53:08:45 | 2| आईओ| 00:06:24 | 3| LWलॉक| 00:03:02 +-----+---------------------------------+------- -----------------
ग्राहकों की प्रक्रियाओं के लिए कुल प्रतीक्षा समय के अनुसार प्रतीक्षा प्रकार
जांच
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
उदाहरण
+-------+--------------------------------+------ --- --------+------- | #| प्रतीक्षा_घटना_प्रकार| अवधि| % डीबीटाइम +-----+---------------------------------+---- ------------------+-------------------- | 1| ताला| 08:18:19| 6.07 | 2| आईओ| 06:16:01| 4.58 | 3| टाइमआउट| 02:53:21| 2.11 | 4| LWलॉक| 00:58:12| 0.71 | 5| ग्राहक| 00:01:19| 0.02 | 6| आईपीसी| 00:00:04| 0 +-----+--------------------------------+----- --------+--------------------------------------
सिस्टम प्रक्रियाओं और व्यक्तिगत अनुरोधों के लिए प्रतीक्षा अवधि।
सिस्टम प्रक्रियाओं की प्रतीक्षा
जांच
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
उदाहरण
+-----+-----------------------------+----------+--------------------+----------------------+-------------------- | #| 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 +-----+-----------------------------+----------+--------------------+----------------------+--------------------
एसक्यूएल के लिए प्रतीक्षा - क्वेरीआईडी द्वारा व्यक्तिगत प्रश्नों की प्रतीक्षा करता है
जांच
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
उदाहरण
+-----+-------------------------+----------+--------------------+--------------------+--------------------+-------------------- | #| 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| +-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------
क्लाइंट एसक्यूएल सांख्यिकी - शीर्ष प्रश्न
प्राप्त करने के अनुरोध फिर से तुच्छ हैं और स्थान बचाने के लिए नहीं दिए गए हैं।
उदाहरण
+------------------------------------------------------------------------------------ | 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 +--------------------+----------+----------+----------+----------+----------+----------+--------------------
संपूर्ण
प्रस्तुत प्रश्नों और परिणामी रिपोर्टिंग का उपयोग करके, आप व्यक्तिगत प्रश्नों और संपूर्ण क्लस्टर के लिए प्रदर्शन में गिरावट की समस्याओं के विश्लेषण और समाधान के लिए एक अधिक संपूर्ण तस्वीर प्राप्त कर सकते हैं।
विकास
अब तक की विकास योजनाएँ इस प्रकार हैं:
- अवरुद्ध इतिहास के साथ पूरक रिपोर्टिंग। अनुरोधों का परीक्षण किया जा रहा है और शीघ्र ही सबमिट कर दिया जाएगा।
- pg_stat_activity और pg_locks इतिहास को संग्रहीत करने के लिए TimescaleDB एक्सटेंशन का उपयोग करें।
- उत्पादन अड्डों पर बड़े पैमाने पर तैनाती के लिए जीथब पर एक पैकेज समाधान तैयार करें।
को जारी रखा जाएगा ...
स्रोत: www.habr.com