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Mēģinājums izveidot PostgreSQL ASH analogu

Problēmas paziņojums

Lai optimizētu PostgreSQL vaicājumus, ir ļoti nepieciešama iespēja analizēt darbību vēsturi, jo īpaši gaidīšanas, bloķēšanas un tabulas statistiku.

Pieejamās iespējas

Vēsturiskās darba slodzes analīzes rīks jeb "AWR for Postgres": ļoti interesants risinājums, taču nav pg_stat_activity un pg_locks vēstures.

pgsentinel paplašinājums :
«Visa uzkrātā informācija tiek glabāta tikai RAM, un patērēto atmiņas apjomu regulē pēdējo saglabāto ierakstu skaits.

Tiek pievienots queryid lauks — tas pats vaicājuma ID no paplašinājuma pg_stat_statements (nepieciešama iepriekšēja instalēšana).«

Tas, protams, ļoti palīdzētu, bet pats apgrūtinošākais ir pirmais punkts.Visa uzkrātā informācija tiek glabāta tikai RAM ”, t.i. ir ietekme uz mērķa bāzi. Turklāt nav bloķēšanas vēstures un tabulas statistikas. Tie. risinājums kopumā ir nepilnīgs: "Instalēšanai vēl nav gatavas pakotnes. Ieteicams pašiem lejupielādēt avotus un salikt bibliotēku. Vispirms ir jāinstalē sava servera pakotne “devel” un mainīgajā PATH jāiestata ceļš uz pg_config.".

Vispār ir liela ažiotāža, un nopietnu ražošanas datu bāzu gadījumā ar serveri var arī neko nedarīt. Mums atkal ir jāizdomā kaut kas savs.

Brīdinājums.

Samērā lielā apjoma un nepilnīgā testēšanas perioda dēļ rakstam galvenokārt ir informatīvs raksturs, drīzāk kā tēžu un starprezultātu kopums.
Detalizētāks materiāls tiks sagatavots vēlāk, pa daļām

Prasību projekts risinājumam

Ir nepieciešams izstrādāt rīku, kas ļauj uzglabāt:

pg_stat_activity skatījumu vēsture
Sesijas bloķēšanas vēsture, izmantojot pg_locks skatu

Risinājuma prasība– samazinātu ietekmi uz mērķa datu bāzi.

Vispārēja ideja– datu vākšanas aģents tiek palaists nevis mērķa datubāzē, bet gan monitoringa datubāzē kā sistēmisks pakalpojums. Jā, ir iespējams zināms datu zudums, taču tas nav būtiski ziņošanai, taču tas neietekmē mērķa datu bāzi atmiņas un diska vietas ziņā. Un savienojuma pūla izmantošanas gadījumā ietekme uz lietotāja procesiem ir minimāla.

Īstenošanas posmi

1.Apkalpošanas galdi

Tabulu glabāšanai tiek izmantota atsevišķa shēma, lai nesarežģītu galveno izmantoto tabulu analīzi.

DROP SCHEMA IF EXISTS activity_hist ;
CREATE SCHEMA activity_hist AUTHORIZATION monitor ;

Svarīgi: shēma netiek izveidota mērķa datu bāzē, bet gan uzraudzības datu bāzē.

pg_stat_activity skatījumu vēsture

Tabula tiek izmantota, lai saglabātu pašreizējos pg_stat_activity skata momentuzņēmumus

activity_hist.history_pg_stat_activity :

--ACTIVITY_HIST.HISTORY_PG_STAT_ACTIVITY
DROP TABLE IF EXISTS activity_hist.history_pg_stat_activity;
CREATE TABLE activity_hist.history_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 with time zone ,
  xact_start        timestamp with time zone ,
  query_start       timestamp with time zone ,
  state_change      timestamp with time zone ,
  wait_event_type   text ,                     
  wait_event        text ,                   
  state             text ,                  
  backend_xid       xid  ,                 
  backend_xmin      xid  ,                
  query             text ,               
  backend_type      text ,  
  queryid           bigint
);

Lai paātrinātu ievietošanu - bez indeksiem vai ierobežojumiem.

Lai saglabātu pašu vēsturi, tiek izmantota sadalīta tabula:

activity_hist.archive_pg_stat_activity :

DROP TABLE IF EXISTS activity_hist.archive_pg_stat_activity;
CREATE TABLE activity_hist.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 with time zone ,
  xact_start        timestamp with time zone ,
  query_start       timestamp with time zone ,
  state_change      timestamp with time zone ,
  wait_event_type   text ,                     
  wait_event        text ,                   
  state             text ,                  
  backend_xid       xid  ,                 
  backend_xmin      xid  ,                
  query             text ,               
  backend_type      text ,
  queryid           bigint
)
PARTITION BY RANGE (timepoint);

Tā kā šajā gadījumā ievietošanas ātrumam nav izvirzītas prasības, ir izveidoti daži indeksi, lai paātrinātu atskaišu izveidi.

Sesiju bloķēšanas vēsture

Tabula tiek izmantota, lai saglabātu pašreizējos sesiju bloķēšanas momentuzņēmumus:

activity_hist.history_locking :

--ACTIVITY_HIST.HISTORY_LOCKING
DROP TABLE IF EXISTS activity_hist.history_locking;
CREATE TABLE activity_hist.history_locking
(
	timepoint timestamp without time zone ,
	locktype text ,
	relation oid ,
	mode text ,
	tid xid ,
	vtid text ,
	pid integer ,
	blocking_pids integer[] ,
	granted boolean
);

Turklāt, lai paātrinātu ievietošanu, nav indeksu vai ierobežojumu.

Lai saglabātu pašu vēsturi, tiek izmantota sadalīta tabula:

activity_hist.archive_locking:

DROP TABLE IF EXISTS activity_hist.archive_locking;
CREATE TABLE activity_hist.archive_locking
(
	timepoint timestamp without time zone ,
	locktype text ,
	relation oid ,
	mode text ,
	tid xid ,
	vtid text ,
	pid integer ,
	blocking_pids integer[] ,
	granted boolean	
)
PARTITION BY RANGE (timepoint);

Tā kā šajā gadījumā ievietošanas ātrumam nav izvirzītas prasības, ir izveidoti daži indeksi, lai paātrinātu atskaišu izveidi.

2. Pašreizējās vēstures aizpildīšana

Lai tieši savāktu skata momentuzņēmumus, tiek izmantots bash skripts, kas palaiž funkciju plpgsql.

get_current_activity.sh

#!/bin/bash
#########################################################
#get_current_activity.sh

ERROR_FILE='/home/demon/get_current_activity'$(date +%Y%m%d-)'T'$(date +%H)$(date +%M)$(date +%S)
host=$1
s_name=$2
s_pass=$3

psql  -A -t -q -v ON_ERROR_STOP=1 -c "SELECT activity_hist.get_current_activity( '$host' , '$s_name' , '$s_pass' )" >/dev/null 2>$ERROR_FILE

line_count=`cat $ERROR_FILE | wc -l`
if [[ $line_count != '0' ]];
then
    rm -f /home/demon/*.err >/dev/null 2>/dev/null
	cp $ERROR_FILE $ERROR_FILE'.err' >/dev/null 2>/dev/null  
fi
rm $ERROR_FILE >/dev/null 2>/dev/null
exit 0

plpgsql Funkcija dblink piekļūst skatiem mērķa datubāzē un ievieto rindas pakalpojumu tabulās uzraudzības datu bāzē.

get_current_activity.sql

CREATE OR REPLACE FUNCTION activity_hist.get_current_activity( current_host text , current_s_name text , current_s_pass text ) RETURNS BOOLEAN AS $$
DECLARE 
  database_rec record;
  dblink_str text ;
BEGIN   

	EXECUTE 'SELECT dblink_connect(''LINK1'',''host='||current_host||' port=5432 dbname=postgres'||
	                                         ' user='||current_s_name||' password='||current_s_pass|| ' '')';



--------------------------------------------------------------------
--GET pg_stat_activity stats
	INSERT INTO activity_hist.history_pg_stat_activity
	(
		SELECT * FROM dblink('LINK1',
			'SELECT 
			now() , 
			datid             , 
			datname           ,
			pid               ,
			usesysid              ,
			usename              ,
			application_name     ,
			client_addr          ,
			client_hostname      ,
			client_port       ,
			backend_start         ,
			xact_start            ,
			query_start           ,
			state_change          ,
			wait_event_type    ,                     
			wait_event         ,                   
			state              ,                  
			backend_xid         ,                 
			backend_xmin        ,                
			query              ,               
			backend_type   			
		FROM pg_stat_activity
		') 
		AS t (
		    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 with time zone ,
			xact_start        timestamp with time zone ,
			query_start       timestamp with time zone ,
			state_change      timestamp with time zone ,
			wait_event_type   text ,                     
			wait_event        text ,                   
			state             text ,                  
			backend_xid       xid  ,                 
			backend_xmin      xid  ,                
			query             text ,               
			backend_type      text 			
		)
	);

---------------------------------------	
--ACTIVITY_HIST.HISTORY_LOCKING	
	INSERT INTO activity_hist.history_locking
	(
		SELECT * FROM dblink('LINK1',
			'SELECT 
			now() , 
			lock.locktype,
			lock.relation,
			lock.mode,
			lock.transactionid as tid,
			lock.virtualtransaction as vtid,
			lock.pid,
			pg_blocking_pids(lock.pid), 
			lock.granted
			FROM 	pg_catalog.pg_locks lock LEFT JOIN pg_catalog.pg_database db ON db.oid = lock.database
			WHERE NOT lock.pid = pg_backend_pid()	
		') 
		AS t (
			timepoint timestamp without time zone ,
			locktype text ,
			relation oid , 
			mode text ,
			tid xid ,
			vtid text ,
			pid integer ,
			blocking_pids integer[] ,
			granted boolean
		)
	);
	PERFORM dblink_disconnect('LINK1');
	
	RETURN TRUE ;
END
$$ LANGUAGE plpgsql;

Lai savāktu skata momentuzņēmumus, tiek izmantots systemd pakalpojums un divi skripti:

pg_current_activity.service

# /etc/systemd/system/pg_current_activity.service
[Unit]
Description=Collect history of pg_stat_activity , pg_locks 
Wants=pg_current_activity.timer

[Service]
Type=forking
StartLimitIntervalSec=0
ExecStart=/home/postgres/pgutils/demon/get_current_activity.sh 10.124.70.40 postgres postgres

[Install]
WantedBy=multi-user.target

pg_current_activity.timer

# /etc/systemd/system/pg_current_activity.timer
[Unit]
Description=Run pg_current_activity.sh every 1 second
Requires=pg_current_activity.service

[Timer]
Unit=pg_current_activity.service
OnCalendar=*:*:0/1
AccuracySec=1

[Install]
WantedBy=timers.target

Piešķiriet tiesības skriptiem:
# chmod 755 pg_current_activity.timer
# chmod 755 pg_current_activity.service

Sāksim pakalpojumu:
# systemctl daemon-pārlādēšana
# systemctl start pg_current_activity.service

Tādējādi skatu vēsture tiek apkopota sekundāro momentuzņēmumu veidā. Protams, ja viss paliek kā ir, tad galdi ļoti ātri palielināsies un vairāk vai mazāk produktīvs darbs kļūs neiespējams.

Ir nepieciešams organizēt datu arhivēšanu.

3. Vēstures arhivēšana

Arhivēšanai tiek izmantots sadalīto tabulu arhīvs*.

Jauni nodalījumi tiek veidoti katru stundu, savukārt vecie dati tiek izņemti no vēstures* tabulām, tāpēc vēstures* tabulu lielums īpaši nemainās un ievietošanas ātrums laika gaitā nepasliktinās.

Jaunu sadaļu izveidi veic plpgsql funkcija activity_hist.archive_current_activity. Darba algoritms ir ļoti vienkāršs (izmantojot tabulas archive_pg_stat_activity sadaļas piemēru).

Izveidojiet un aizpildiet jaunu sadaļu

EXECUTE format(
'CREATE TABLE ' || partition_name || 
' PARTITION OF activity_hist.archive_pg_stat_activity FOR VALUES FROM ( %L ) TO ( %L ) ' , 
to_char(date_trunc('year', partition_min_range ),'YYYY')||'-'||
to_char(date_trunc('month', partition_min_range ),'MM')||'-'||
to_char(date_trunc('day', partition_min_range ),'DD')||' '||
to_char(date_trunc('hour', partition_min_range ),'HH24')||':00', 
to_char(date_trunc('year', partition_max_range ),'YYYY')||'-'||
to_char(date_trunc('month', partition_max_range ),'MM')||'-'||
to_char(date_trunc('day', partition_max_range ),'DD')||' '||
to_char(date_trunc('hour', partition_max_range ),'HH24')||':00'
);

INSERT INTO activity_hist.archive_pg_stat_activity
(
	SELECT 	* 
	FROM 	activity_hist.history_pg_stat_activity
	WHERE 	timepoint BETWEEN partition_min_range AND partition_max_range 		
);

Indeksu izveide

EXECUTE format	(
'CREATE INDEX '||index_name||
' ON '||partition_name||' ( wait_event_type , backend_type , timepoint )' 
);

EXECUTE format	('CREATE INDEX '||index_name||
' ON '||partition_name||' ( wait_event_type , backend_type , timepoint , queryid )' 
);

Veco datu noņemšana no tabulas history_pg_stat_activity

DELETE 
FROM 	activity_hist.history_pg_stat_activity
WHERE 	timepoint < partition_max_range;

Protams, ik pa laikam vecās sadaļas tiek izdzēstas kā nevajadzīgas.

Pamata atskaites

Patiesībā, kāpēc tas viss tiek darīts? Lai iegūtu ziņojumus, kas ļoti neskaidri atgādina Oracle AWR.

Svarīgi piebilst, ka, lai saņemtu atskaites, ir jāizveido savienojums starp pg_stat_activity un pg_stat_statements skatiem. Tabulas ir saistītas, tabulām 'history_pg_stat_activity', 'archive_pg_stat_activity' pievienojot kolonnu 'queryid'. Kolonnas vērtības pievienošanas metode ir ārpus šī raksta darbības jomas, un tā ir aprakstīta šeit − pg_stat_statements + pg_stat_activity + loq_query = pg_ash? .

KOPĒJAIS CPU LAIKS JAUTĀJUMIEM

Pieprasīt:

WITH hist AS
(
SELECT 
	aa.query ,aa.queryid ,			
	count(*) * interval '1 second' 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 datname != 'postgres' AND	( aa.wait_event_type IS NULL  ) ANDaa.state = 'active'
GROUP BY aa.wait_event_type , aa.wait_event , aa.query ,aa.queryid		
UNION 
SELECT 
	ha.query ,ha.queryid,
	count(*) * interval '1 second' AS duration 
FROM 	activity_hist.history_pg_stat_activity_for_reports ha
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 datname != 'postgres' AND ( ha.wait_event_type IS NULL  )AND ha.state = 'active'
GROUP BY ha.wait_event_type , ha.wait_event , ha.query ,ha.queryid		
)
SELECT 	query , queryid , SUM( duration ) as duration 
FROM hist
GROUP BY  query , queryid 
ORDER BY 3 DESC

Piemērs:

-------------------------------------------------------------------
| TOTAL CPU TIME FOR QUERIES : 07:47:36
+----+----------------------------------------+--------------------
|   #|                                 queryid|            duration
+----+----------------------------------------+--------------------
|   1|                      389015618226997618|            04:28:58
|   2|                                        |            01:07:29
|   3|                     1237430309438971376|            00:59:38
|   4|                     4710212362688288619|            00:50:48
|   5|                       28942442626229688|            00:15:50
|   6|                     9150846928388977274|            00:04:46
|   7|                    -6572922443698419129|            00:00:06
|   8|                                        |            00:00:01
+----+----------------------------------------+--------------------

KOPĒJAIS JAUTĀJUMU GAIDĪŠANAS LAIKS

Pieprasīt:

WITH hist AS
(
SELECT 
	aa.query ,aa.queryid ,			
	count(*) * interval '1 second' 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 datname != 'postgres' AND
	( aa.wait_event_type IS NOT NULL  ) 
GROUP BY aa.wait_event_type , aa.wait_event , aa.query ,aa.queryid		
UNION 
SELECT 
	ha.query ,ha.queryid,
	count(*) * interval '1 second' AS duration 
FROM 	activity_hist.history_pg_stat_activity_for_reports ha
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 datname != 'postgres' AND				
	( ha.wait_event_type IS NOT NULL  )
GROUP BY ha.wait_event_type , ha.wait_event , ha.query ,ha.queryid		
)
SELECT 	query , queryid , SUM( duration ) as duration 
FROM hist
GROUP BY  query , queryid 
ORDER BY 3 DESC

Piemērs:

-------------------------------------------------------------------
| TOTAL WAITINGS TIME FOR QUERIES : 21:55:04
+----+----------------------------------------+--------------------
|   #|                                 queryid|            duration
+----+----------------------------------------+--------------------
|   1|                      389015618226997618|            16:19:05
|   2|                                        |            03:47:04
|   3|                     8085340880788646241|            00:40:20
|   4|                     4710212362688288619|            00:13:35
|   5|                     9150846928388977274|            00:12:25
|   6|                       28942442626229688|            00:11:32
|   7|                     1237430309438971376|            00:09:45
|   8|                     2649515222348904837|            00:09:37
|   9|                                        |            00:03:45
|  10|                     3167065002719415275|            00:02:20
|  11|                     5731212217001535134|            00:02:13
|  12|                     8304755792398128062|            00:01:31
|  13|                     2649515222348904837|            00:00:59
|  14|                     2649515222348904837|            00:00:22
|  15|                                        |            00:00:12
|  16|                     3422818749220588372|            00:00:08
|  17|                    -5730801771815999400|            00:00:03
|  18|                    -1473395109729441239|            00:00:02
|  19|                     2404820632950544954|            00:00:02
|  20|                    -6572922443698419129|            00:00:02
|  21|                     2369289265278398647|            00:00:01
|  22|                      180077086776069052|            00:00:01
+----+----------------------------------------+--------------------

GAIDA JAUTĀJUMU

Pieprasījumi:

WITH hist AS
(
SELECT 
	aa.wait_event_type , aa.wait_event 
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 datname != 'postgres' AND
	aa.wait_event IS NOT NULL 
GROUP BY aa.wait_event_type , aa.wait_event
UNION 
SELECT 
	ha.wait_event_type , ha.wait_event 
FROM 	activity_hist.history_pg_stat_activity_for_reports ha
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 datname != 'postgres' AND
	ha.wait_event IS NOT NULL 
GROUP BY ha.wait_event_type , ha.wait_event		
)
SELECT 	wait_event_type , wait_event 
FROM hist
GROUP BY wait_event_type , wait_event
ORDER BY 1 ASC,2 ASC

----------------------------------------------------------------------

WITH hist AS
(
SELECT 
	aa.wait_event_type , aa.wait_event , aa.query ,aa.queryid ,			
	count(*) * interval '1 second' 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 datname != 'postgres' AND
	( aa.wait_event_type = waitings_stat_rec.wait_event_type AND aa.wait_event = waitings_stat_rec.wait_event )
GROUP BY aa.wait_event_type , aa.wait_event , aa.query ,aa.queryid		
UNION 
SELECT 
	ha.wait_event_type , ha.wait_event , ha.query ,ha.queryid,
	count(*) * interval '1 second' AS duration 
FROM 	activity_hist.history_pg_stat_activity_for_reports ha
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 datname != 'postgres' AND				
	( ha.wait_event_type = waitings_stat_rec.wait_event_type AND ha.wait_event = waitings_stat_rec.wait_event )
GROUP BY ha.wait_event_type , ha.wait_event , ha.query ,ha.queryid		
)
SELECT 	query , queryid , SUM( duration ) as duration 
FROM hist
GROUP BY  query , queryid 
ORDER BY 3 DESC

Piemērs:

------------------------------------------------
| WAITINGS FOR QUERIES
+-----------------------------------------------
|                      wait_event_type = Client|
|                       wait_event = ClientRead|
|                        Total time  = 00:46:56|
------------------------------------------------
|    #|             queryid|            duration
+-----+--------------------+--------------------
|    1| 8085340880788646241|            00:40:20
|    2|                    |            00:03:45
|    3| 5731212217001535134|            00:01:53
|    4|                    |            00:00:12
|    5| 9150846928388977274|            00:00:09
|    6| 3422818749220588372|            00:00:08
|    7| 1237430309438971376|            00:00:06
|    8|   28942442626229688|            00:00:05
|    9| 4710212362688288619|            00:00:05
|   10|-5730801771815999400|            00:00:03
|   11| 8304755792398128062|            00:00:02
|   12|-6572922443698419129|            00:00:02
|   13|-1473395109729441239|            00:00:02
|   14| 2404820632950544954|            00:00:02
|   15|  180077086776069052|            00:00:01
|   16| 2369289265278398647|            00:00:01

+-----------------------------------------------
|                          wait_event_type = IO|
|                      wait_event = BufFileRead|
|                        Total time  = 00:00:38|
------------------------------------------------
|    #|             queryid|            duration
+-----+--------------------+--------------------
|    1|   28942442626229688|            00:00:38

+-----------------------------------------------

BLOĢĒTO PROCESU VĒSTURE

Pieprasīt:

SELECT 
MIN(date_trunc('second',timepoint)) AS started , 
	count(*) * interval '1 second' as duration ,
	pid , blocking_pids , relation , mode , locktype 	 
FROM 
	activity_hist.archive_locking al 
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
	NOT granted AND 
	locktype = 'relation' 
GROUP BY pid , blocking_pids , relation , mode , locktype			
UNION
SELECT 
	MIN(date_trunc('second',timepoint)) AS started , 
	count(*) * interval '1 second' as duration ,
	pid , blocking_pids , relation , mode , locktype
FROM 
	activity_hist.history_locking 
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
	NOT granted AND 
	locktype = 'relation' 
GROUP BY pid , blocking_pids , relation , mode , locktype			
ORDER BY 1

Piemērs:

-------------------------------------------------- -------------------------------------------------- ---------------------------------- | BLOĢĒTO PROCESU VĒSTURE +-----+----------+-----+-------- --+------------- --------+--------------------+----- --------------- +-------------------- | #| pid| sākās| ilgums| blocking_pids| saistība| režīms| slēdzenes tips +----------+-----------+-----+----------- +---------- -----------+------------+------- --------------+------ -------------- | 1| 26224| 2019-09-02 19:32:16| 00:01:45| {26211}| 16541| AccessShareLock| attiecības | 2| 26390| 2019-09-02 19:34:03| 00:00:53| {26211}| 16541| AccessShareLock| attiecības | 3| 26391| 2019-09-02 19:34:03| 00:00:53| {26211}| 16541| AccessShareLock| attiecības | 4| 26531| 2019-09-02 19:35:27| 00:00:12| {26211}| 16541| AccessShareLock| attiecības | 5| 27284| 2019-09-02 19:44:02| 00:00:19| {27276}| 16541| AccessShareLock| attiecības | 6| 27283| 2019-09-02 19:44:02| 00:00:19| {27276}| 16541| AccessShareLock| attiecības | 7| 27286| 2019-09-02 19:44:02| 00:00:19| {27276}| 16541| AccessShareLock| attiecības | 8| 27423| 2019-09-02 19:45:24| 00:00:12| {27394}| 16541| AccessShareLock| attiecības | 9| 27648| 2019-09-02 19:48:06| 00:00:20| {27647}| 16541| AccessShareLock| attiecības | 10| 27650| 2019-09-02 19:48:06| 00:00:20| {27647}| 16541| AccessShareLock| attiecības | 11| 27735| 2019-09-02 19:49:08| 00:00:06| {27650}| 16541| AccessExclusiveLock| attiecības | 12| 28380| 2019-09-02 19:56:03| 00:01:56| {28379}| 16541| AccessShareLock| attiecības | 13| 28379| 2019-09-02 19:56:03| 00:00:01| 28377| 16541| AccessExclusiveLock| attiecības | | | | | 28376| |

BLOĶĒŠANAS PROCESU VĒSTURE

Pieprasījumi:

SELECT 
blocking_pids 
FROM 
	activity_hist.archive_locking al 
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
	NOT granted AND 
	locktype = 'relation' 
GROUP BY blocking_pids 		
UNION
SELECT 
	blocking_pids 
FROM 
	activity_hist.history_locking 
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
	NOT granted AND 
	locktype = 'relation' 
GROUP BY blocking_pids 		
ORDER BY 1

---------------------------------------------------------------

SELECT 
	pid , usename , application_name , datname ,
	MIN(date_trunc('second',timepoint)) as started , 
	count(*) * interval '1 second' as duration ,		 
	state , 
	query
				FROM  	activity_hist.archive_pg_stat_activity
				WHERE 	pid= current_pid AND 
						timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') 						 
				GROUP BY pid , usename , application_name , 
						datname , 
						state_change, 
						state , 
						query 
				UNION
				SELECT 
					pid , usename , application_name , datname ,
					MIN(date_trunc('second',timepoint)) as started , 
					count(*) * interval '1 second' as duration ,		 
					state , 
					query
				FROM  	activity_hist.history_pg_stat_activity_for_reports
				WHERE 	pid= current_pid AND 
						timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') 						 
				GROUP BY pid , usename , application_name , 
						datname , 
						state_change, 
						state , 
						query 
				ORDER BY 5 , 1

Piemērs:

-------------------------------------------------- -------------------------------------------------- -------------------------------------------------- ------------------------ BLOKĒŠANAS PROCESU VĒSTURE +----+-----------+-------- ---+--------------------+-----------+--------------- ------+--------------------+---------------------- -------+---------------------------------------- | #| pid| lietotājvārds| lietojumprogrammas_nosaukums| datname| sākās| ilgums| valsts| vaicājums +----------+----------+----------+-----+ ---------- -+--------------------+------------------ --+------- --------------------------+---------------- ------- ------------------ | 1| 26211| lietotājs| psql| tdb1| 2019-09-02 19:31:54| 00:00:04| tukšgaita| | 2| 26211| lietotājs| psql| tdb1| 2019-09-02 19:31:58| 00:00:06| dīkstāvē darījumā| sākt; | 3| 26211| lietotājs| psql| tdb1| 2019-09-02 19:32:16| 00:01:45| dīkstāvē darījumā| bloķēšanas tabula wafer_data; | 4| 26211| lietotājs| psql| tdb1| 2019-09-02 19:35:54| 00:01:23| tukšgaita| apņemties; | 5| 26211| lietotājs| psql| tdb1| 2019-09-02 19:38:46| 00:00:02| dīkstāvē darījumā| sākt; | 6| 26211| lietotājs| psql| tdb1| 2019-09-02 19:38:54| 00:00:08| dīkstāvē darījumā| bloķēšanas tabula wafer_data; | 7| 26211| lietotājs| psql| tdb1| 2019-09-02 19:39:08| 00:42:42| tukšgaita| apņemties; | 8| 26211| lietotājs| psql| tdb1| 2019-09-03 07:12:07| 00:00:52| aktīvs| atlasiet test_del();

Attīstība.

Parādītie pamata vaicājumi un iegūtie pārskati jau tagad ievērojami atvieglo darbību, analizējot darbības traucējumus.
Pamatojoties uz pamata vaicājumiem, varat iegūt pārskatu, kas neskaidri atgādina Oracle AWR.
Kopsavilkuma pārskata piemērs

+-------------------------------------------------- ------------------------------------ | KONSOLIDĒTAIS PĀRSKATS PAR DARBĪBU UN GAIDIEM.

Turpinājums sekos. Nākamais rindā ir bloķēšanas vēstures izveide (pg_stat_locks), kas ir detalizētāks tabulu aizpildīšanas procesa apraksts.

Avots: www.habr.com

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