Aroturuki mahi o nga patai PostgreSQL. Wāhanga 1 - pūrongo

Engineer - he mea whakamaori mai i te reo Ratini - he mea whakaawe.
Ka taea e te miihini te mahi i tetahi mea. (c) R. Diesel.
Epigraphs.

He korero ranei mo te take me maumahara te kaiwhakahaere o te putunga raraunga ki tana kaupapa o mua.

Kupuhipa

Kua hurihia nga ingoa katoa. He matapōkere ngā tūponotanga. Ko nga korero e tohu ana i te whakaaro whaiaro o te kaituhi.

Whakakahoretanga o te whakamana: Ko nga raupapa tuhinga kua whakamaheretia kaore he whakamaarama taipitopito me te tika o nga ripanga me nga tuhinga kua whakamahia. Kaore e taea te whakamahi i nga rawa "AS IS".
Tuatahi, na te nui o nga rauemi,
tuarua, na te hononga tata ki te turanga whakaputa o te kaihoko pono.
Na reira, ko nga tuhinga ka mau i nga whakaaro me nga whakaahuatanga i roto i te ahua tino whanui.
Tera pea i te wa kei te heke mai ka tipu te punaha ki te taumata o te whakairi ki runga i te GitHub, kaore ranei. Ka whakaatu te wa.

Ko te timatanga o te korero -"Kei te mahara koe pehea i timata ai".
He aha te mea i puta, i roto i nga tikanga whanui - "Ko te Synthesis tetahi o nga tikanga mo te whakapai ake i nga mahi a PostgreSQL»

He aha ahau i hiahia ai i enei mea katoa?

Kaati, ko te tuatahi, kia kore ai e wareware, kia mahara ki nga ra whakahirahira o te reti.
Tuarua, ki te whakariterite i nga mea i tuhia. No te mea i etahi wa ka tiimata ahau ki te rangirua me te wareware ki etahi waahanga.

Ae, ko te mea nui ka whai hua pea ma te tangata ka awhina i a ia ki te karo i te hanga i te wira me te kore e kohi rake. I etahi atu kupu, whakapai ake i to karma (kaore i a Khabrov). No te mea ko te mea tino nui o tenei ao ko nga whakaaro. Ko te mea nui ko te kimi whakaaro. Engari ko te huri i tetahi whakaaro ki te mooni he patai hangarau noa.

No reira, me timata, iti ma te iti...

Te whakatakoto i te raruraru.

Wātea:

PostgreSQL(10.5) pātengi raraunga, momo kawenga whakauru (OLTP+DSS), uta reo-maama, kei roto i te kapua AWS.
Karekau he aro turuki putunga; ka whakaratohia te aro turuki i nga hanganga i te ahua o nga taputapu AWS paerewa i roto i te whirihoranga iti.

E hiahiatia ana:

Aroturuki i te mahi me te mana o te papaaarangi, kimihia me te whai korero tuatahi mo te arotau i nga paatai ​​paataka taumaha.

He whakataki poto, he tātaritanga ranei o nga whiringa otinga

Hei timata, me ngana tatou ki te wetewete i nga whiringa hei whakaoti rapanga mai i te tirohanga o te tirohanga whakatairite o nga painga me nga huakore mo te miihini, a ma te hunga e tika ana ki a raatau i runga i te raarangi a nga kaimahi ki te whakahaere i nga painga me ngaronga o te whakahaere.

Kōwhiringa 1 - "Te mahi i runga i te hiahia"

Ka waiho e matou nga mea katoa. Ki te kore te kaihoko i ngata ki tetahi mea i roto i te mahi, te mahi o te papaunga raraunga, te tono ranei, ka whakamohio atu ia ki nga miihini DBA ma te ī-mēra, ma te hanga ranei i tetahi aitua ki te paepae tikiti.
Ko te miihini, kua tae mai te whakamohiotanga, ka mohio ki te raru, ka tukuna he otinga, ka tukuna ranei te raru ki te mura o muri, me te tumanako ka whakatauhia nga mea katoa, ahakoa, ka warewarehia nga mea katoa.
Ko te taro kanekane me te kai toka, te maru me te pukuGingerbread and donuts:
1. Kahore he take ki te mahi i tetahi atu mahi.
2. He whai waahi tonu ki te hanga otoheraa me te whakapouri.
3. He maha nga wa ka taea e koe te whakapau i runga i to whakaaro.
Nga maru me nga puku:
1. Ka roa ake nei, ka whakaaro te kaihoko ki te mauri o te noho me te tika o te ao i tenei ao, ka patai ano ki a ia ano te patai - he aha ahau i utu ai i aku moni? He rite tonu te hua - ko te patai anake ka hoha te kaihoko me te poroporoaki. A ka noho kau te kai whangai. He pouri.
2. Te whanaketanga Engineer - kore.
3. He uaua ki te whakamahere mahi me te utaina

Kōwhiringa 2- “Kanikani me te timipera, te koromamao me te mau hu”

Kowae 1-He aha ta tatou e hiahia ai ki te punaha aroturuki, ka whiwhi tatou i nga mea katoa me nga tono. Ka whakahaerehia e matou nga momo patai katoa ki te papakupu raraunga me nga tirohanga hihiri, ka whakakao i nga momo porotiti katoa, ka whakauruhia nga mea katoa ki roto i nga ripanga, ka tātarihia nga rarangi me nga ripanga i ia wa. Ko te mutunga mai, he kauwhata, he ripanga, he purongo he ataahua, he iti ranei. Ko te mea nui kia nui ake, kia nui ake.
Kowae 2-Ka whakaputahia e matou nga mahi ka whakarewahia te tātaritanga o enei mea katoa.
Kowae 3-Kei te whakareri matou i tetahi tuhinga, ka kiia noa iho tenei tuhinga - "me pehea e whakatuu ai he papaa raraunga."
Kowae 4-Ko te kaihoko, e kite ana i enei ataahua katoa o nga kauwhata me nga nama, kei roto i te maia o te tamaiti, he maamaa - inaianei ka pai nga mea katoa mo tatou, kare e roa. Na, he ngawari, he mamae hoki tana wehewehe i ana rawa putea. Kei te maia ano te whakahaere he pai te mahi a a tatou miihini. Uta ana i te morahi.
Kowae 5-Tuhia te Hipanga 1 i nga wa katoa.
Ko te taro kanekane me te kai toka, te maru me te pukuGingerbread and donuts:
1. Ko te oranga o nga kaiwhakahaere me nga miihini he maamaa, he matapae, he ki tonu i nga mahi. Kei te haruru nga mea katoa, kei te pukumahi te katoa.
2. Ko te oranga o te kaihoko kaore ano i te kino - ka tino mohio ia me manawanui noa ia ka pai nga mea katoa. Kaore i te pai ake, kaati, kaore i te tika te ao, hei te ao e whai ake nei ka waimarie koe.
Nga maru me nga puku:
1. Ake ake nei, ka tere ake te kaiwhakarato o te ratonga rite ka mahi i taua mea, engari he iti ake te utu. A, ki te rite te hua, he aha te utu ake. Ka arai ano ki te ngaro o te kai whangai.
2. He hoha. Ano te hoha o tetahi mahi kore tikanga.
3. Ka rite ki te putanga o mua, kaore he whanaketanga. Engari mo te miihini, ko te taha ki raro, kaore i rite ki te waahanga tuatahi, me whakaputa tonu koe i te IBD. A he wa roa tenei. Ka taea e koe te whakapau mo te painga o to hoa aroha. Na te mea kaore e taea e koe te tiaki i a koe ano, kaore tetahi e aro ki a koe.

Kōwhiringa 3 - Kaore koe e hiahia ki te tito paihikara, me hoko noa koe ka eke.

Ehara i te mea ko nga miihini mai i etahi atu kamupene e kai ana i te pizza me te pia (aue, nga ra kororia o St. Petersburg i te 90s). Me whakamahi tatou i nga punaha aro turuki i hangaia, i patuirohia me te mahi, me te whai hua i te nuinga o te waa (he pai, ki o raatau kaihanga).
Ko te taro kanekane me te kai toka, te maru me te pukuGingerbread and donuts:
1. Kare he take e moumou taima ki te whakaputa i tetahi mea kua oti ke te whakaaro. Tangohia ka whakamahia.
2. Ko nga punaha aroturuki kaore i tuhia e te hunga kuare, a, he mea whai hua.
3. Ko te nuinga o nga wa ka whakaratohia e nga punaha aro turuki nga korero whai hua.
Nga maru me nga puku:
1. Ko te miihini i roto i tenei keehi ehara i te miihini, engari he kaiwhakamahi noa i te hua o tetahi atu, he kaiwhakamahi ranei.
2. Me tino mohio te kaihoko ki te hiahia ki te hoko i tetahi mea, i te nuinga o te korero, kaore ia e hiahia ki te mohio, me te kore e tika, a, i te nuinga o te waa kua whakaaetia te tahua mo te tau, kaore e rereke. Na ka hiahia koe ki te tohatoha i tetahi rauemi motuhake me te whirihora mo tetahi punaha motuhake. Ko era. tuatahi me utu, utu ka utu ano. A he kaikorero te kaihoko. Koinei te tikanga o tenei ao.

He aha te mahi - Chernyshevsky? He tino whaitake to patai. (Me)

I tenei keehi me nga ahuatanga o naianei, ka taea e koe te mahi rereke - kia hanga tatou ake punaha aroturuki.

Ae ra, ehara i te punaha, i roto i te tikanga katoa o te kupu, he nui rawa te reo me te whakahihi, engari ma te mea ka ngawari ake to mahi me te kohi korero hei whakatau i nga maiki mahi. Kia kore ai koe e kitea i roto i tetahi ahuatanga - "haere ki reira, kaore au e mohio ki hea, kimihia tetahi mea, kaore au e mohio he aha."

He aha te pai me te kino o tenei whiringa:

Kaupapa:
1. He rawe tenei. Ana, he mea tino pai ake i te "whakaiti i te konae raraunga, whakarereke tepuera, aha atu."
2. He pukenga hou, he whanaketanga hou enei. Ko tehea, i muri mai, ka hoatu ki a koe he taro kanekane me nga putea.
Cons:
1. Me mahi koe. Mahi kaha.
2. Me whakamarama i nga wa katoa te tikanga me nga tirohanga o nga mahi katoa.
3. Ko tetahi mea hei patunga tapu, no te mea ko te rauemi anake e waatea ana ki te miihini - ko te waa - he iti noa e te Ao.
4. Ko te mea tino kino me te tino kino - ko te hua ka rite ki te "Ehara i te kiore, ehara i te poroka, engari he kararehe e kore e mohiotia."

Ko te hunga karekau e noho morearea kare e inu i te piari.
Na - ka timata te ngahau.

Whakaaro whānui - schematically

(He whakaahua i tangohia mai i te tuhinga «Ko te Synthesis tetahi o nga tikanga mo te whakapai ake i nga mahi a PostgreSQL")

Whakamārama:

• Ko te toronga Paerewa PostgreSQL "pg_stat_statements" kua whakauruhia ki roto i te papaa raraunga.
• I roto i te papaunga raraunga aroturuki, ka hangaia e matou he huinga ripanga ratonga mo te penapena i nga hitori pg_stat_statements i te timatanga me te whakarite inenga me te aro turuki a muri ake
• I runga i te kaihautu aroturuki, ka hangaia e matou he huinga o nga tuhinga bash, tae atu ki era mo te whakaputa i nga aitua i roto i te punaha tikiti.

Tepu ratonga

Tuatahi, he ERD whakangawari, he aha te mea i puta i te mutunga:

Whakaahuatanga poto o nga tepuTuhinga — kaihautu, tohu hononga ki te tauira
pātengi raraunga - tawhā pātengi raraunga
pg_stat_history - he ripanga o mua mo te penapena i nga whakaahua rangitahi o te tirohanga pg_stat_statements o te putunga raraunga
metric_glossary - papakupu o nga inenga mahi
metric_config — whirihoranga o nga inenga takitahi
metric — he inenga motuhake mo te tono e aroturukitia ana
metric_alert_history - te hitori o nga whakatupato mahi
roko_uiui — he ripanga ratonga mo te penapena i nga rekoata kua pahemo mai i te konae rangitaki PostgreSQL i tangohia mai i AWS
raro — nga tawhā o nga wa i whakamahia hei turanga
tirohia — whirihoranga o nga inenga mo te tirotiro i te mana o te putunga
tirotiro_matohi_history — te hitori whakatupato mo nga inenga tirotiro hauora
pg_stat_db_uiui — tepu ratonga o nga tono kaha
rangitaki_mahi — tepu ratonga rangitaki mahi
mahanga_oid — tepu ratonga whirihoranga mahanga

Wāhanga 1 - kohikohi mōhiohio tauanga mō te mahi me te whiwhi pūrongo

Ka whakamahia he ripanga hei rokiroki i nga korero tatauranga pg_stat_history
pg_stat_history hanganga ripanga

                                          Ripanga "public.pg_stat_history" Tīwae | Momo | Whakarerekē----------------------+-------------------------------------- - ------------------------------------------ id | tauoti | ehara i te taunoa muri ('pg_stat_history_id_seq'::regclass) snapshot_timestamp | waitohuwā kore rohe wa | pātengi raraunga_id | tauoti | dbid | pai | id kaiwhakamahi | pai | patai | nui | patai | kupu | waea | nui | tapeke_wa | tika rua | min_time | tika rua | max_time | tika rua | mean_time | tika rua | stddev_time | tika rua | rarangi | nui | shared_blks_hit | nui | shared_blks_read | nui | shared_blks_dirtied | nui | shared_blks_written | nui | local_blks_hit | nui | local_blks_panui | nui | local_blks_dirtied | nui | local_blks_written | nui | temp_blks_panui | nui | temp_blks_written | nui | blk_read_time | tika rua | blk_write_time | tika rua | turanga_id | tauoti | Taupū: "pg_stat_history_pkey" Kī TUATAHI, btree (id) "database_idx" btree (database_id) "queryid_idx" btree (queryid) "snapshot_timestamp_idx" btree (snapshot_timestamp) Nga here-matua-ke: ("Dbasebase_IDX_ID) ) I TE WHAKAMAHI KAUPAPA

Ka taea e koe te kite, ko te ripanga ko te raraunga tirohanga whakahiato noa pg_stat_tauākī i roto i te pātengi raraunga ūnga.

He tino ngawari te whakamahi i tenei tepu

pg_stat_history ka tohu i nga tatauranga whakaemi o te mahi uiui mo ia haora. I te timatanga o ia haora, i muri i te whakakii i te ripanga, tatauranga pg_stat_tauākī tautuhi me pg_stat_statements_reset().
Tuhipoka: Ka kohia nga tatauranga mo nga patai me te roa o te mahi neke atu i te 1 hēkona.
Whakanuia te ripanga pg_stat_history

--pg_stat_history.sql
CREATE OR REPLACE FUNCTION pg_stat_history( ) RETURNS boolean AS $$
DECLARE
  endpoint_rec record ;
  database_rec record ;
  pg_stat_snapshot record ;
  current_snapshot_timestamp timestamp without time zone;
BEGIN
  current_snapshot_timestamp = date_trunc('minute',now());  
  
  FOR endpoint_rec IN SELECT * FROM endpoint 
  LOOP
    FOR database_rec IN SELECT * FROM database WHERE endpoint_id = endpoint_rec.id 
	  LOOP
	    
		RAISE NOTICE 'NEW SHAPSHOT IS CREATING';
		
		--Connect to the target DB	  
	    EXECUTE 'SELECT dblink_connect(''LINK1'',''host='||endpoint_rec.host||' dbname='||database_rec.name||' user=USER password=PASSWORD '')';
 
        RAISE NOTICE 'host % and dbname % ',endpoint_rec.host,database_rec.name;
		RAISE NOTICE 'Creating snapshot of pg_stat_statements for database %',database_rec.name;
		
		SELECT 
	      *
		INTO 
		  pg_stat_snapshot
	    FROM dblink('LINK1',
	      'SELECT 
	       dbid , SUM(calls),SUM(total_time),SUM(rows) ,SUM(shared_blks_hit) ,SUM(shared_blks_read) ,SUM(shared_blks_dirtied) ,SUM(shared_blks_written) , 
           SUM(local_blks_hit) , SUM(local_blks_read) , SUM(local_blks_dirtied) , SUM(local_blks_written) , SUM(temp_blks_read) , SUM(temp_blks_written) , SUM(blk_read_time) , SUM(blk_write_time)
	       FROM pg_stat_statements WHERE dbid=(SELECT oid from pg_database where datname=current_database() ) 
		   GROUP BY dbid
  	      '
	               )
	      AS t
	       ( dbid oid , calls bigint , 
  	         total_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	  
	       );
		 
		INSERT INTO pg_stat_history
          ( 
		    snapshot_timestamp  ,database_id  ,
			dbid , calls  ,total_time ,
            rows ,shared_blks_hit  ,shared_blks_read  ,shared_blks_dirtied  ,shared_blks_written ,local_blks_hit , 	 	
            local_blks_read,local_blks_dirtied,local_blks_written,temp_blks_read,temp_blks_written, 	
            blk_read_time, blk_write_time 
		  )		  
	    VALUES
	      (
	       current_snapshot_timestamp ,
		   database_rec.id ,
	       pg_stat_snapshot.dbid ,pg_stat_snapshot.calls,
	       pg_stat_snapshot.total_time,
	       pg_stat_snapshot.rows ,pg_stat_snapshot.shared_blks_hit ,pg_stat_snapshot.shared_blks_read ,pg_stat_snapshot.shared_blks_dirtied ,pg_stat_snapshot.shared_blks_written , 
           pg_stat_snapshot.local_blks_hit , pg_stat_snapshot.local_blks_read , pg_stat_snapshot.local_blks_dirtied , pg_stat_snapshot.local_blks_written , 
	       pg_stat_snapshot.temp_blks_read , pg_stat_snapshot.temp_blks_written , pg_stat_snapshot.blk_read_time , pg_stat_snapshot.blk_write_time 	   
	      );		   
		  
        RAISE NOTICE 'Creating snapshot of pg_stat_statements for queries with min_time more than 1000ms';
	
        FOR pg_stat_snapshot IN
          --All queries with max_time greater than 1000 ms
	      SELECT 
	        *
	      FROM dblink('LINK1',
	        'SELECT 
	         dbid , userid ,queryid,query,calls,total_time,min_time ,max_time,mean_time, stddev_time ,rows ,shared_blks_hit ,
			 shared_blks_read ,shared_blks_dirtied ,shared_blks_written , 
             local_blks_hit , local_blks_read , local_blks_dirtied , 
			 local_blks_written , temp_blks_read , temp_blks_written , blk_read_time , 
			 blk_write_time
	         FROM pg_stat_statements 
			 WHERE dbid=(SELECT oid from pg_database where datname=current_database() AND min_time >= 1000 ) 
  	        '

	                  )
	        AS t
	         ( 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	  
	         )
	    LOOP
		  INSERT INTO pg_stat_history
          ( 
		    snapshot_timestamp  ,database_id  ,
			dbid ,userid  , queryid  , query  , calls  ,total_time ,min_time ,max_time ,mean_time ,stddev_time ,
            rows ,shared_blks_hit  ,shared_blks_read  ,shared_blks_dirtied  ,shared_blks_written ,local_blks_hit , 	 	
            local_blks_read,local_blks_dirtied,local_blks_written,temp_blks_read,temp_blks_written, 	
            blk_read_time, blk_write_time 
		  )		  
	      VALUES
	      (
	       current_snapshot_timestamp ,
		   database_rec.id ,
	       pg_stat_snapshot.dbid ,pg_stat_snapshot.userid ,pg_stat_snapshot.queryid,pg_stat_snapshot.query,pg_stat_snapshot.calls,
	       pg_stat_snapshot.total_time,pg_stat_snapshot.min_time ,pg_stat_snapshot.max_time,pg_stat_snapshot.mean_time, pg_stat_snapshot.stddev_time ,
	       pg_stat_snapshot.rows ,pg_stat_snapshot.shared_blks_hit ,pg_stat_snapshot.shared_blks_read ,pg_stat_snapshot.shared_blks_dirtied ,pg_stat_snapshot.shared_blks_written , 
           pg_stat_snapshot.local_blks_hit , pg_stat_snapshot.local_blks_read , pg_stat_snapshot.local_blks_dirtied , pg_stat_snapshot.local_blks_written , 
	       pg_stat_snapshot.temp_blks_read , pg_stat_snapshot.temp_blks_written , pg_stat_snapshot.blk_read_time , pg_stat_snapshot.blk_write_time 	   
	      );
		  
        END LOOP;

        PERFORM dblink_disconnect('LINK1');  
				
	  END LOOP ;--FOR database_rec IN SELECT * FROM database WHERE endpoint_id = endpoint_rec.id 
    
  END LOOP;

RETURN TRUE;  
END
$$ LANGUAGE plpgsql;

Ko te mutunga, i muri i etahi wa i roto i te tepu pg_stat_history ka whiwhi tatou i te huinga whakaahua o nga ihirangi ripanga pg_stat_tauākī pātengi raraunga ūnga.

Mau purongo

Ma te whakamahi i nga patai ngawari, ka taea e koe te tiki i nga purongo tino whaihua me te whakamere.

Raraunga whakahiato mo te waa kua whakaritea

Tono

SELECT 
  database_id , 
  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
FROM 
  pg_stat_history
WHERE 
  queryid IS NULL AND
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT
GROUP BY database_id ;

Wā DB

to_char(wawhanga '1 milihakona' * pg_total_stat_history_rec.total_time, 'HH24:MI:SS.MS')

Wā I/O

to_char(wawhanga '1 milihakona' * ( pg_total_stat_history_rec.blk_read_time + pg_total_stat_history_rec.blk_write_time ), 'HH24:MI:SS.MS')

TOP10 SQL i te tapeke_wa

Tono

SELECT 
  queryid , 
  SUM(calls) AS calls ,
  SUM(total_time)  AS total_time  	
FROM 
  pg_stat_history
WHERE 
  queryid IS NOT NULL AND 
  database_id = DATABASE_ID AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT 
GROUP BY queryid 
ORDER BY 3 DESC 
LIMIT 10

------------------------------------------------- ----------------------------------- | TOP10 SQL MĀ TE TAPEKE WĀ WHAKATANGA | #| id patai| waea| waea %| tapeke_wa (ms) | dbtime % +----------+-----------+-----------+-----------+ ------ --------------------------+---------- | 1| 821760255| 2| .00001|00:03:23.141( 203141.681 ms.)| 5.42 | 2| 4152624390| 2| .00001|00:03:13.929( 193929.215 ms.)| 5.17 | 3| 1484454471| 4| .00001|00:02:09.129( 129129.057 ms.)| 3.44 | 4| 655729273| 1| .00000|00:02:01.869( 121869.981 ms.)| 3.25 | 5| 2460318461| 1| .00000|00:01:33.113( 93113.835 ms.)| 2.48 | 6| 2194493487| 4| .00001|00:00:17.377( 17377.868 ms.)| .46 | 7| 1053044345| 1| .00000|00:00:06.156( 6156.352 ms.)| .16 | 8| 3644780286| 1| .00000|00:00:01.063( 1063.830 ms.)| .03

TOP10 SQL i te wa katoa I/O

Tono

SELECT 
  queryid , 
  SUM(calls) AS calls ,
  SUM(blk_read_time + blk_write_time)  AS io_time
FROM 
  pg_stat_history
WHERE 
  queryid IS NOT NULL AND 
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT
GROUP BY  queryid 
ORDER BY 3 DESC 
LIMIT 10

------------------------------------------------- ---------------------------------------------------- | TOP10 SQL MA TE TAPEKE I/O WĀ | #| uiui| waea| waea %| Wā I/O (ms)|db Wā I/O % +----+-----------+-----------+------ -------------------------+--------------------------------+----- ------ -- | 1| 4152624390| 2| .00001|00:08:31.616( 511616.592 ms.)| 31.06 | 2| 821760255| 2| .00001|00:08:27.099( 507099.036 ms.)| 30.78 | 3| 655729273| 1| .00000|00:05:02.209( 302209.137 ms.)| 18.35 | 4| 2460318461| 1| .00000|00:04:05.981( 245981.117 ms.)| 14.93 | 5| 1484454471| 4| .00001|00:00:39.144( 39144.221 ms.)| 2.38 | 6| 2194493487| 4| .00001|00:00:18.182( 18182.816 ms.)| 1.10 | 7| 1053044345| 1| .00000|00:00:16.611( 16611.722 ms.)| 1.01 | 8| 3644780286| 1| .00000|00:00:00.436( 436.205 ms.)| .03

TOP10 SQL i te wa teitei o te mahi

Tono

SELECT 
  id AS snapshotid , 
  queryid , 
  snapshot_timestamp ,  
  max_time 
FROM 
  pg_stat_history 
WHERE 
  queryid IS NOT NULL AND 
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT
ORDER BY 4 DESC 
LIMIT 10

------------------------------------------------- ---------------------------------------------------- | TOP10 SQL NA MAX WHAI WHAKATANGA | #| whakaahua| snapshotID| uiui| max_time (ms) +----+---------------------------------+--------- ------------------------------------------- | 1| 05.04.2019/01/03 4169:655729273| 00| 02| 01.869:121869.981:2( 04.04.2019 ms.) | 17| 00/4153/821760255 00:01| 41.570| 101570.841| 3:04.04.2019:16( 00 ms.) | 4146| 821760255/00/01 41.570:101570.841| 4| 04.04.2019| 16:00:4144( 4152624390 ms.) | 00| 01/36.964/96964.607 5:04.04.2019| 17| 00| 4151:4152624390:00(01 ms.) | 36.964| 96964.607/6/05.04.2019 10:00| 4188| 1484454471| 00:01:33.452(93452.150 ms.) | 7| 04.04.2019/17/00 4150:2460318461| 00| 01| 33.113:93113.835:8( 04.04.2019 ms.) | 15| 00/4140/1484454471 00:00| 11.892| 11892.302| 9:04.04.2019:16(00 ms.) | 4145| 1484454471/00/00 11.892:11892.302| 10| 04.04.2019| 17:00:4152( 1484454471 ms.) | 00| 00/11.892/11892.302 XNUMX:XNUMX| XNUMX| XNUMX| XNUMX:XNUMX:XNUMX( XNUMX ms.) | XNUMX| XNUMX/XNUMX/XNUMX XNUMX:XNUMX| XNUMX| XNUMX| XNUMX:XNUMX:XNUMX( XNUMX ms.)

TOP10 SQL na SHARED buffer panui/tuhi

Tono

SELECT 
  id AS snapshotid , 
  queryid ,
  snapshot_timestamp , 
  shared_blks_read , 
  shared_blks_written 
FROM 
  pg_stat_history
WHERE 
  queryid IS NOT NULL AND 
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT AND
  ( shared_blks_read > 0 OR shared_blks_written > 0 )
ORDER BY 4 DESC  , 5 DESC 
LIMIT 10

------------------------------------------------- ------------------------------------------ | TOP10 SQL NA TE KAUPAPA ITIRI PĀNUITIA/TUHIA | #| whakaahua| snapshotID| uiui| paraka tiritahi i panui| tuhi poraka tiritahi +----+--------------------+---------- ------------------------------------ | 1| 04.04.2019/17/00 4153:821760255| 797308| 0| 2| 04.04.2019 | 16| 00/4146/821760255 797308:0| 3| 05.04.2019| 01| 03 | 4169| 655729273/797158/0 4:04.04.2019| 16| 00| 4144| 4152624390 | 756514| 0/5/04.04.2019 17:00| 4151| 4152624390| 756514| 0 | 6| 04.04.2019/17/00 4150:2460318461| 734117| 0| 7| 04.04.2019 | 17| 00/4155/3644780286 52973:0| 8| 05.04.2019| 01| 03 | 4168| 1053044345/52818/0 9:04.04.2019| 15| 00| 4141| 2194493487 | 52813| 0/10/04.04.2019 16:00| 4147| 2194493487| 52813| 0 | XNUMX| XNUMX/XNUMX/XNUMX XNUMX:XNUMX| XNUMX| XNUMX| XNUMX| XNUMX | XNUMX| XNUMX/XNUMX/XNUMX XNUMX:XNUMX| XNUMX| XNUMX| XNUMX| XNUMX ------------------------------------------------ ------------------------------------------

Histogram o nga tono toha ma te wa tino mahi

Nga tono

SELECT  
  MIN(max_time) AS hist_min  , 
  MAX(max_time) AS hist_max , 
  (( MAX(max_time) - MIN(min_time) ) / hist_columns ) as hist_width
FROM 
  pg_stat_history 
WHERE 
  queryid IS NOT NULL AND
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT ;

SELECT 
  SUM(calls) AS calls
FROM 
  pg_stat_history 
WHERE 
  queryid IS NOT NULL AND
  database_id =DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT AND 
  ( max_time >= hist_current_min AND  max_time < hist_current_max ) ;

|------------------------------------------------ - ---------------------------------------------- | MAX_TIME HISTOGRAM | KAUPAPA KAUPAPA: 33851920 | WĀ MINI: 00:00:01.063 | WĀ MAHI: 00:02:01.869 ------------------------------------------ ---------------------------------------------------- | meneti roa| roanga teitei| waea +---------------------------------+------------------------- ----------------------+---------- | 00:00:01.063( 1063.830 ms.) | 00:00:13.144( 13144.445 ms.) | 9 | 00:00:13.144( 13144.445 ms.) | 00:00:25.225( 25225.060 ms.) | 0 | 00:00:25.225( 25225.060 ms.) | 00:00:37.305( 37305.675 ms.) | 0 | 00:00:37.305( 37305.675 ms.) | 00:00:49.386( 49386.290 ms.) | 0 | 00:00:49.386( 49386.290 ms.) | 00:01:01.466( 61466.906 ms.) | 0 | 00:01:01.466( 61466.906 ms.) | 00:01:13.547( 73547.521 ms.) | 0 | 00:01:13.547( 73547.521 ms.) | 00:01:25.628( 85628.136 ms.) | 0 | 00:01:25.628( 85628.136 ms.) | 00:01:37.708( 97708.751 ms.) | 4 | 00:01:37.708( 97708.751 ms.) | 00:01:49.789( 109789.366 ms.) | 2 | 00:01:49.789( 109789.366 ms.) | 00:02:01.869( 121869.981 ms.) | 0

TOP10 Whakaahua ma te Uiui mo ia Hekona

Nga tono

--pg_qps.sql
--Calculate Query Per Second 
CREATE OR REPLACE FUNCTION pg_qps( pg_stat_history_id integer ) RETURNS double precision AS $$
DECLARE
 pg_stat_history_rec record ;
 prev_pg_stat_history_id integer ;
 prev_pg_stat_history_rec record;
 total_seconds double precision ;
 result double precision;
BEGIN 
  result = 0 ;
  
  SELECT *
  INTO pg_stat_history_rec
  FROM 
    pg_stat_history
  WHERE id = pg_stat_history_id ;

  IF pg_stat_history_rec.snapshot_timestamp IS NULL 
  THEN
    RAISE EXCEPTION 'ERROR - Not found pg_stat_history for id = %',pg_stat_history_id;
  END IF ;  
  
 --RAISE NOTICE 'pg_stat_history_id = % , snapshot_timestamp = %', pg_stat_history_id , 
 pg_stat_history_rec.snapshot_timestamp ;
  
  SELECT 
    MAX(id)   
  INTO
    prev_pg_stat_history_id
  FROM
    pg_stat_history
  WHERE 
    database_id = pg_stat_history_rec.database_id AND
	queryid IS NULL AND
	id < pg_stat_history_rec.id ;

  IF prev_pg_stat_history_id IS NULL 
  THEN
    RAISE NOTICE 'Not found previous pg_stat_history shapshot for id = %',pg_stat_history_id;
	RETURN NULL ;
  END IF;
  
  SELECT *
  INTO prev_pg_stat_history_rec
  FROM 
    pg_stat_history
  WHERE id = prev_pg_stat_history_id ;
  
  --RAISE NOTICE 'prev_pg_stat_history_id = % , prev_snapshot_timestamp = %', prev_pg_stat_history_id , prev_pg_stat_history_rec.snapshot_timestamp ;    

  total_seconds = extract(epoch from ( pg_stat_history_rec.snapshot_timestamp - prev_pg_stat_history_rec.snapshot_timestamp ));
  
  --RAISE NOTICE 'total_seconds = % ', total_seconds ;    
  
  --RAISE NOTICE 'calls = % ', pg_stat_history_rec.calls ;      
  
  IF total_seconds > 0 
  THEN
    result = pg_stat_history_rec.calls / total_seconds ;
  ELSE
   result = 0 ; 
  END IF;
   
 RETURN result ;
END
$$ LANGUAGE plpgsql;


SELECT 
  id , 
  snapshot_timestamp ,
  calls , 	
  total_time , 
  ( select pg_qps( id )) AS QPS ,
  blk_read_time ,
  blk_write_time
FROM 
  pg_stat_history
WHERE 
  queryid IS NULL AND 
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT AND
  ( select pg_qps( id )) IS NOT NULL 
ORDER BY 5 DESC 
LIMIT 10

|------------------------------------------------ - ---------------------------------------------- | TOP10 Ko nga Whakaahua i whakahaua e nga nama QueryPerSeconds -------------------------------------------- ------------------------------------------------- ------------------------------------------------- | #| whakaahua| snapshotID| waea| taima db| QPS| Wā I/O| Te wa I/O % +------+--------------------------------+------- ----+----------------------------------+---------- -------------------------+----------- | 1| 04.04.2019/20/04 4161:5758631| 00| 06| 30.513:390513.926:1573.396( 00 ms.)| 00| 01.470:1470.110:376( 2 ms.)| .04.04.2019 | 17| 00/4149/3529197 00:11| 48.830| 708830.618| 980.332:00:12( 47.834 ms.)| 767834.052| 108.324:3:04.04.2019( 16 ms.)| 00 | 4143| 3525360/00/10 13.492:613492.351| 979.267| 00| 08:41.396:521396.555( 84.988 ms.)| 4| 04.04.2019:21:03(4163 ms.)| 2781536 | 00| 03/06.470/186470.979 785.745:00| 00| 00.249| 249.865:134:5( 04.04.2019 ms.)| 19| 03:4159:2890362( 00 ms.)| .03 | 16.784| 196784.755 776.979:00| 00| 01.441| 1441.386:732:6( 04.04.2019 ms.)| 14| 00:4137:2397326( 00 ms.)| .04 | 43.033| 283033.854/665.924/00 00:00.024| 24.505| 009| 7:04.04.2019:15( 00 ms.)| 4139| 2394416:00:04(51.435 ms.)| .291435.010 | 665.116| 00/00/12.025 12025.895:4.126| 8| 04.04.2019| 13:00:4135( 2373043 ms.)| 00| 04:26.791:266791.988( 659.179 ms.)| 00 | 00| 00.064 64.261:024| 9| 05.04.2019| 01:03:4167( 4387191 ms.)| 00| 06:51.380:411380.293( 609.332 ms.)| .00 | 05| 18.847/318847.407/77.507 10:04.04.2019| 18| 01| 4157:1145596:00( 01 ms.)| 19.217| 79217.372:313.004:00( 00 ms.)| 01.319 | 1319.676| 1.666/XNUMX/XNUMX XNUMX:XNUMX| XNUMX| XNUMX| XNUMX:XNUMX:XNUMX( XNUMX ms.)| XNUMX| XNUMX:XNUMX:XNUMX( XNUMX ms.)| XNUMX

Hītori Whakamahinga Ia Haora me te QueryPerSeconds me te Wa I/O

Tono

SELECT 
  id , 
  snapshot_timestamp ,
  calls , 	
  total_time , 
  ( select pg_qps( id )) AS QPS ,
  blk_read_time ,
  blk_write_time
FROM 
  pg_stat_history
WHERE 
  queryid IS NULL AND 
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT
ORDER BY 2

|-----------------------------------------------------------------------------------------------
| HOURLY EXECUTION HISTORY  WITH QueryPerSeconds and I/O Time
-----------------------------------------------------------------------------------------------------------------------------------------------
| QUERY PER SECOND HISTORY
|    #|          snapshot| snapshotID|      calls|                      total dbtime|        QPS|                          I/O time| I/O time %
+-----+------------------+-----------+-----------+----------------------------------+-----------+----------------------------------+-----------
|    1|  04.04.2019 11:00|       4131|       3747|  00:00:00.835(       835.374 ms.)|      1.041|  00:00:00.000(          .000 ms.)|       .000
|    2|  04.04.2019 12:00|       4133|    1002722|  00:01:52.419(    112419.376 ms.)|    278.534|  00:00:00.149(       149.105 ms.)|       .133
|    3|  04.04.2019 13:00|       4135|    2373043|  00:04:26.791(    266791.988 ms.)|    659.179|  00:00:00.064(        64.261 ms.)|       .024
|    4|  04.04.2019 14:00|       4137|    2397326|  00:04:43.033(    283033.854 ms.)|    665.924|  00:00:00.024(        24.505 ms.)|       .009
|    5|  04.04.2019 15:00|       4139|    2394416|  00:04:51.435(    291435.010 ms.)|    665.116|  00:00:12.025(     12025.895 ms.)|      4.126
|    6|  04.04.2019 16:00|       4143|    3525360|  00:10:13.492(    613492.351 ms.)|    979.267|  00:08:41.396(    521396.555 ms.)|     84.988
|    7|  04.04.2019 17:00|       4149|    3529197|  00:11:48.830(    708830.618 ms.)|    980.332|  00:12:47.834(    767834.052 ms.)|    108.324
|    8|  04.04.2019 18:01|       4157|    1145596|  00:01:19.217(     79217.372 ms.)|    313.004|  00:00:01.319(      1319.676 ms.)|      1.666
|    9|  04.04.2019 19:03|       4159|    2890362|  00:03:16.784(    196784.755 ms.)|    776.979|  00:00:01.441(      1441.386 ms.)|       .732
|   10|  04.04.2019 20:04|       4161|    5758631|  00:06:30.513(    390513.926 ms.)|   1573.396|  00:00:01.470(      1470.110 ms.)|       .376
|   11|  04.04.2019 21:03|       4163|    2781536|  00:03:06.470(    186470.979 ms.)|    785.745|  00:00:00.249(       249.865 ms.)|       .134
|   12|  04.04.2019 23:03|       4165|    1443155|  00:01:34.467(     94467.539 ms.)|    200.438|  00:00:00.015(        15.287 ms.)|       .016
|   13|  05.04.2019 01:03|       4167|    4387191|  00:06:51.380(    411380.293 ms.)|    609.332|  00:05:18.847(    318847.407 ms.)|     77.507
|   14|  05.04.2019 02:03|       4171|     189852|  00:00:10.989(     10989.899 ms.)|     52.737|  00:00:00.539(       539.110 ms.)|      4.906
|   15|  05.04.2019 03:01|       4173|       3627|  00:00:00.103(       103.000 ms.)|      1.042|  00:00:00.004(         4.131 ms.)|      4.010
|   16|  05.04.2019 04:00|       4175|       3627|  00:00:00.085(        85.235 ms.)|      1.025|  00:00:00.003(         3.811 ms.)|      4.471
|   17|  05.04.2019 05:00|       4177|       3747|  00:00:00.849(       849.454 ms.)|      1.041|  00:00:00.006(         6.124 ms.)|       .721
|   18|  05.04.2019 06:00|       4179|       3747|  00:00:00.849(       849.561 ms.)|      1.041|  00:00:00.000(          .051 ms.)|       .006
|   19|  05.04.2019 07:00|       4181|       3747|  00:00:00.839(       839.416 ms.)|      1.041|  00:00:00.000(          .062 ms.)|       .007
|   20|  05.04.2019 08:00|       4183|       3747|  00:00:00.846(       846.382 ms.)|      1.041|  00:00:00.000(          .007 ms.)|       .001
|   21|  05.04.2019 09:00|       4185|       3747|  00:00:00.855(       855.426 ms.)|      1.041|  00:00:00.000(          .065 ms.)|       .008
|   22|  05.04.2019 10:00|       4187|       3797|  00:01:40.150(    100150.165 ms.)|      1.055|  00:00:21.845(     21845.217 ms.)|     21.812

Kuputuhi o nga SQL-whiriwhiri katoa

Tono

SELECT 
  queryid , 
  query 
FROM 
  pg_stat_history
WHERE 
  queryid IS NOT NULL AND 
  database_id = DATABASE_ID  AND
  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT
GROUP BY queryid , query

Ko te hua

Ka taea e koe te kite, ma te whakamahi i nga tikanga ngawari noa, ka taea e koe te maha o nga korero whai hua mo te kawenga mahi me te ahua o te papaarangi.

Tuhipoka:Mena ka tuhia e matou te patai i roto i nga patai, ka whiwhi matou i te hitori mo tetahi uiui motuhake (kia tiakina te waahi, ka waihohia nga ripoata mo tetahi uiui motuhake).

Na, ko nga raraunga tatauranga mo te mahi uiui kei te waatea me te kohi.
Ko te waahanga tuatahi "kohinga raraunga tatauranga" kua oti.

Ka taea e koe te neke ki te waahanga tuarua - "te whakarite inenga mahi".


Engari ko tetahi atu korero.

Kia haere tonu ...

Source: will.com