{"id":32353,"date":"2019-10-31T21:46:32","date_gmt":"2019-10-31T18:46:32","guid":{"rendered":"https:\/\/prohoster.info\/blog\/monitoring-proizvoditelnosti-zaprosov-postgresql-chast-1-reporting\/"},"modified":"2019-10-31T21:46:32","modified_gmt":"2019-10-31T18:46:32","slug":"monitoring-proizvoditelnosti-zaprosov-postgresql-chast-1-reporting","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/administrirovanie\/monitoring-proizvoditelnosti-zaprosov-postgresql-chast-1-reporting","title":{"rendered":"Pra\u0107enje performansi zahteva PostgreSQL. Deo 1 \u2014 izve\u0161tavanje","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>In\u017eenir \u2013 v latin\u0161\u010dini pomeni navdihnjen.<br \/>\nIn\u017eenir lahko vse. (c) R.Dizel.<br \/>\n<i>Epigrafi.<\/i><br \/>\n<img decoding=\"async\" alt=\"Pra\u0107enje performansi zahteva PostgreSQL. Deo 1 \u2014 izve\u0161tavanje\" src=\"\/wp-content\/uploads\/2019\/04\/9a2640267ea05006b94e03642b864ddc.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Ali zgodba o tem, zakaj se mora skrbnik podatkovnih baz spomniti svojega programerskega preteklosti. <\/i><\/p>\n<h2>Predgovor<\/h2>\n<p>\nVsa imena so spremenjena. Naklju\u010dja so nepredvidena. Gradivo predstavlja izklju\u010dno osebno mnenje avtorja.<\/p>\n<blockquote><p><b>Izjava o neodgovornosti:<\/b> <i>v na\u010drtovanem ciklu \u010dlankov ne bo podrobnega in natan\u010dnega opisa uporabljenih tabel in skript. Gradiva ni mogo\u010de takoj uporabiti \u201eAS IS\u201c. <br \/>\nPrvi\u010d, zaradi velikega obsega gradiva, <br \/>\ndrugi\u010d, zaradi osredoto\u010denosti na produkcijsko bazo dejanskega naro\u010dnika. <br \/>\nZato bodo v \u010dlankih navedene le ideje in opisi v naj\u0161ir\u0161em smislu. <br \/>\nMorda bo v prihodnosti sistem dozorel do ravni nalaganja na GitHub, morda pa tudi ne. \u010cas bo pokazal.<\/i><\/p><\/blockquote>\n<p>\nZa\u010detek zgodbe - \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/icl_services\/blog\/446314\/\">Se spomni\u0161, kako se je vse za\u010delo?<\/a><\/noindex>\u00bb.<br \/>\nKar je rezultiralo, v naj\u0161ir\u0161em smislu - \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/444988\/\">Sintez kot ena od metod izbolj\u0161anja zmogljivosti PostgreSQL<\/a><\/noindex>\u00bb<\/p>\n<h2>Zakaj vse to zame?<\/h2>\n<p>\nNo, prvi\u010d, da ne pozabim, ko se spominjam lepih dni v penziji. <br \/>\nDrugi\u010d, da sistematiziram napisano. Kajti \u017ee sam, ob\u010dasno za\u010dnem zmedeno in pozabim nekatere dele. <\/p>\n<p>No in najpomembnej\u0161e \u2013 morda bo komu koristilo in pomagalo, da ne izumlja kolesa in ne zbira grabljic. Z drugimi besedami, izbolj\u0161ati svojo karizmo (ne Habr-ovsko). Kajti, najdragocenej\u0161e v tem svetu so ideje. Glavno je najti idejo. Realizirati idejo v resni\u010dnost pa je \u017ee \u010disto tehni\u010dno vpra\u0161anje.<\/p>\n<p>Torej, za\u010dnimo po\u010dasi...<\/p>\n<h2>Postavitev naloge.<\/h2>\n<p><\/p>\n<h3>Imamo: <\/h3>\n<p>\nBaza podatkov PostgreSQL (10.5), me\u0161anega tipa obremenitve (OLTP + DSS), srednje-male obremenitve, locirana v oblaku AWS. <br \/>\nNadzor nad bazo podatkov ni na voljo, nadzor infrastrukture je predstavljen v obliki standardnih sredstev AWS v minimalni konfiguraciji.<\/p>\n<h3>Zahteva se:<\/h3>\n<p>\nNadzorovati zmogljivost in stanje baze podatkov, najti in imeti za\u010detne informacije za optimizacijo te\u017ekih poizvedb v B\u0414.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Kratko uvod ali analiza mo\u017enosti re\u0161itve.<\/h2>\n<p>\nNa za\u010detku poskusimo razdelati mo\u017enosti re\u0161itve naloge z vidika primerjalne analize koristi in te\u017eav za in\u017eenirja, koristi in izgube mened\u017ementa pa naj obravnavajo tisti, katere to spada po delovni nalogi.<\/p>\n<h3>Mo\u017enost 1 - \u201eDelo po povpra\u0161evanju\u201c<\/h3>\n<p>\nVse pustimo, kak je. \u010ce stranko nekaj moti pri delovanju, zmogljivosti baze podatkov ali aplikacije, bo obvestila DBA in\u017eenirje preko e-po\u0161te ali z odprtjem incidenta v sistemu za prijavo napak. <br \/>\nIn\u017eenir, ko prejme obvestilo, se bo lotil te\u017eave, predlagal re\u0161itev ali odlo\u017eil problem na stranski tir, upajo\u010d, da se bo vse samo re\u0161ilo, in itak, kmalu bo vse pozabljeno.<br \/>\n<b class=\"spoiler_title\">Pi\u0161koti in krofi, modrice in izbokline<\/b><b>Pi\u0161koti in krofi:<\/b><br \/>\n1. Ni\u010d dodatnega ni treba delati<br \/>\n2. Vedno obstaja mo\u017enost, da se izognemo odgovornosti. <br \/>\n3. Kup \u010dasa, ki ga lahko porabimo po lastni presoji.<br \/>\n<b>Modrice in izbokline:<\/b><br \/>\n1. Prej ali slej se bo stranka vpra\u0161ala o bistvu bivanja in vesoljski pravi\u010dnosti v tem svetu ter si \u0161e enkrat zastavila vpra\u0161anje \u2014 zakaj jim pla\u010dujem svoje denarce? Posledica je vedno ena \u2014 vpra\u0161anje je le, kdaj se bo stranka naveli\u010dala in odmahnila z roko ob slovesu. In prehranjevanje se bo izpraznilo. To je \u017ealostno.<br \/>\n2. Razvoj in\u017eenirja \u2014 ni\u010d.<br \/>\n3. Te\u017eave pri na\u010drtovanju dela in obremenitve <\/p>\n<h3>Mo\u017enost 2 - 'Igramo se z bobnov in prodajamo ter obuvamo'<\/h3>\n<p>\n<b>To\u010dka 1<\/b>-Zakaj potrebujemo sistem za spremljanje, vse bomo dobili z zahtevami. Ranjamo gor kup razli\u010dnih zahtevkov po podatkovnem slovarju in dinami\u010dnih predstavitvah, vklju\u010dujemo razli\u010dne \u0161tevcem, vse strnemo v tabele, ob\u010dasno se kot da analiziramo sezname in tabele. Na koncu imamo lepe ali manj lepe grafike, tabele, poro\u010dila. Glavno je, da je ve\u010d, ve\u010d.<br \/>\n<b>To\u010dka 2<\/b>-Ustvarjamo aktivnost - zagnamo analizo vsega tega.<br \/>\n<b>To\u010dka 3<\/b>-Pripravimo nek dokument, ki ga imenujemo preprosto - 'kako naj uredimo bazo podatkov'.<br \/>\n<b>To\u010dka 4<\/b>-Stranka, ko vidi to veli\u010dastno grafiko in \u0161tevilke, je v otro\u0161ki naivni prepri\u010danosti - zdaj bo vse delovalo, kmalu. In z lahkoto in brez bole\u010din se lo\u010di od svojih finan\u010dnih sredstev. Mened\u017ement je prav tako prepri\u010dan - na\u0161i in\u017eenirji delajo odli\u010dno. Obremenitev je na maksimumu. <br \/>\n<b>To\u010dka 5<\/b>-Redno ponavljamo To\u010dko 1.<br \/>\n<b class=\"spoiler_title\">Pi\u0161koti in krofi, modrice in izbokline<\/b><b>Pi\u0161koti in krofi: <\/b><br \/>\n1. \u017divljenje mened\u017eerjev in in\u017eenirjev je preprosto, predvidljivo in polno aktivnosti. Vse \u017evrgoli, vsi so zaposleni. <br \/>\n2. \u017divljenje stranke je prav tako lepo - vedno je prepri\u010dan, da mu bo le malo potrpljenja in vse se bo uredilo. Se ne uredi, no, kaj pa \u2014 svet je kriv, v naslednjem \u017eivljenju \u2014 bo imel sre\u010do.<br \/>\n<b>Modrice in izbokline:<\/b><br \/>\n1. Pre sooner or later, a more agile provider of similar services will emerge, doing the same thing but at a slightly lower price. If the result is the same, why pay more? This will again lead to the disappearance of the feeding ground.<br \/>\n2. It's boring. Just like any meaningless activity.<br \/>\n3. Much like the previous option \u2014 no development here either. But for the engineer, the drawback is that, unlike the first option, here you need to constantly generate a database. And that takes time. Time that could be spent on more useful things for oneself. Because if you don't take care of yourself, no one else will.<\/p>\n<h3>Option 3 - There's no need to reinvent the wheel; just buy it and ride.<\/h3>\n<p>\nEngineers from other companies don\u2019t eat pizza and wash it down with beer for nothing (ah, the good old days in St. Petersburg in the 90s). Let's use monitoring systems that are made, fine-tuned, and actually work, providing benefits (at least to their creators).<br \/>\n<b class=\"spoiler_title\">Pi\u0161koti in krofi, modrice in izbokline<\/b><b>Pi\u0161koti in krofi:<\/b><br \/>\n1. There\u2019s no need to waste time inventing what\u2019s already been invented. Just take it and use it.<br \/>\n2. Monitoring systems are not written by fools, and they are indeed useful.<br \/>\n3. Working monitoring systems usually provide useful filtered information. <br \/>\n<b>Modrice in izbokline:<\/b><br \/>\n1. In this case, the engineer is not really an engineer, but merely a user of someone else's product. Or just a user.<br \/>\n2. You need to convince the customer of the necessity to buy something they generally don\u2019t want to understand, let alone have to. And the annual budget has been approved and won\u2019t change. Then you need to allocate separate resources and configure them for a specific system. That is, you first need to pay, pay, and pay again. And the customer is stingy. That\u2019s just the norm of life.<\/p>\n<h2>What to do then - Chernyshevsky? Your question is quite relevant. (c)<\/h2>\n<p>\nIn this specific case and the established situation, one can act a little differently \u2014 <b>let\u2019s create our own monitoring system. <\/b><br \/>\n<img decoding=\"async\" alt=\"Pra\u0107enje performansi zahteva PostgreSQL. Deo 1 \u2014 izve\u0161tavanje\" src=\"\/wp-content\/uploads\/2019\/04\/b59a3ad9e16b68c0fbc962a61d571c52.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nWell, not a full-fledged system, as that would be too grand and presumptuous, but at least lighten our task and gather more information for resolving performance incidents. So as not to find ourselves in a situation of \u2014 'go there, I don\u2019t know where, find that, I don\u2019t know what.'<\/p>\n<h4>What are the pros and cons of this option:<\/h4>\n<p><b>Prednosti:<\/b><br \/>\n1. It's interesting. At least more interesting than constant 'shrink datafile, alter tablespace, etc.' <br \/>\n2. To je nova ve\u0161\u010dina in nova rast. Kar bo na dolgi rok prineslo zaslu\u017eene nagrade in dodatne ugodnosti.<br \/>\n<b>Mane:<\/b><br \/>\n1. Delo bo potrebno. Delo bo veliko. <br \/>\n2. Redno bo treba razlagati pomen in perspektive vseh aktivnosti.<br \/>\n3. Nekaj bo treba \u017ertvovati, saj je edini dostopen vir za in\u017eenirja \u010das \u2014 omejen z univerzumom. <br \/>\n<b>4. Najbolj stra\u0161na in neprijetna stvar<\/b> \u2014 na koncu lahko nastane nekaj, kar spominja na \"Niti mi\u0161, niti \u017eaba, temve\u010d neznana zver.\"<\/p>\n<p><b>Kdor ne tvega, ne pije \u0161ampanjca.<\/b><br \/>\nTorej \u2014 za\u010denja se najbolj zanimivo.<\/p>\n<h2>Splo\u0161na ideja - schematsko<\/h2>\n<p>\n<img decoding=\"async\" alt=\"Pra\u0107enje performansi zahteva PostgreSQL. Deo 1 \u2014 izve\u0161tavanje\" src=\"\/wp-content\/uploads\/2019\/04\/d1ae2ddc1d4c43353fe93eebdaa8b81a.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n(<i>Ilustracija je prevzeta iz \u010dlanka<\/i> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/444988\/\">Sintez kot ena od metod izbolj\u0161anja zmogljivosti PostgreSQL<\/a><\/noindex>\u00bb)<\/p>\n<p>\u041f\u043e\u044f\u0441\u043d\u0435\u043d\u0438\u0435:<\/p>\n<ul>\n<li> V ciljni bazi se name\u0161\u010da standardno raz\u0161iritev PostgreSQL \u2014 \u201cpg_stat_statements\u201d. <\/li>\n<li>V bazi podatkov za spremljanje ustvarimo niz servisnih tabel za shranjevanje zgodovine pg_stat_statements v za\u010detni fazi ter za nastavitev metrik in nadaljnje spremljanje.<\/li>\n<li> Na gostitelju za spremljanje ustvarimo niz bash skriptov, med drugim za generiranje incidentov v sistemu tiketov. <\/li>\n<\/ul>\n<h2>Servisne tabele<\/h2>\n<p>\nZa za\u010detek je tu poenostavljena ERD, kaj smo torej dosegli:<br \/>\n<img decoding=\"async\" alt=\"Pra\u0107enje performansi zahteva PostgreSQL. Deo 1 \u2014 izve\u0161tavanje\" src=\"\/wp-content\/uploads\/2019\/04\/03d29f4d6932d470d9d88651cbf0c715.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<b class=\"spoiler_title\">Kratak opis tabel<\/b><b>endpoint <\/b> \u2014 gostitelj, priklju\u010dna to\u010dka do instan\u010dnega sistema<br \/>\n<b>database <\/b> \u2014 parametri baze podatkov<br \/>\n<b>pg_stat_history <\/b> \u2014 zgodovinska tabela za shranjevanje \u010dasovnih posnetkov prikaza pg_stat_statements ciljne baze podatkov<br \/>\n<b>metric_glossary <\/b> \u2014 slovar metrik uspe\u0161nosti<br \/>\n<b>metric_config <\/b> \u2014 konfiguracija posameznih metrik<br \/>\n<b>metric <\/b> \u2014 konkretna metrika za spremljanega poizvedbo<br \/>\n<b>metric_alert_history <\/b> \u2014 zgodovina opozoril o uspe\u0161nosti<br \/>\n<b>log_query <\/b> \u2014 servisna tabela za shranjevanje raz\u010dlenjenih zapisov iz log datoteke PostgreSQL, nalo\u017eene iz AWS<br \/>\n<b>baseline <\/b> \u2014 parametri \u010dasovnega obdobja, uporabljenega kot osnova <br \/>\n<b>checkpoint <\/b> \u2014 konfiguracija metrik za preverjanje stanja baze podatkov<br \/>\n<b>checkpoint_alert_history <\/b> \u2014 zgodovina opozoril metrik preverjanja stanja baze podatkov<br \/>\n<b>pg_stat_db_queries <\/b> \u2014 servisna tabela aktivnih poizvedb <br \/>\n<b>activity_log <\/b> \u2014 servisna tabela dnevnika aktivnosti <br \/>\n<b>trap_oid <\/b> \u2014 servisna tabela konfiguracije trapa<\/p>\n<p><\/p>\n<h2>Faza 1 \u2014 zbiranje statisti\u010dnih informacij o uspe\u0161nosti in pridobivanje poro\u010dil<\/h2>\n<p>\nTabela slu\u017ei za shranjevanje statisti\u010dnih informacij <b>pg_stat_history<\/b><br \/>\n<b class=\"spoiler_title\">Struktura tabele pg_stat_history<\/b><\/p>\n<pre>\n                                          Tabela \"public.pg_stat_history\"\n       Stolpec        |            Tip             |                          Modifikatorji\n---------------------+-----------------------------+-------------------------------------------\n id                  | celo \u0161tevilo               | ne-null privzeto nextval('pg_stat_history_id_seq'::regclass)\n timestamp_posnetka  | \u010dasovni pe\u010dat brez \u010dasovne cone |\n id_baze            | celo \u0161tevilo               |\n dbid               | oid                        |\n id_uporabnika      | oid                        |\n id_poizvedbe      | veliko celo \u0161tevilo        |\n poizvedba         | besedilo                   |\n klici             | veliko celo \u0161tevilo        |\n skupni_cas        | dvojna natan\u010dnost          |\n min_cas           | dvojna natan\u010dnost          |\n max_cas           | dvojna natan\u010dnost          |\n povpre\u010dni_cas     | dvojna natan\u010dnost          |\n stddev_cas        | dvojna natan\u010dnost          |\n vrstice           | veliko celo \u0161tevilo        |\n deljeni_bloki_prihodi | veliko celo \u0161tevilo        |\n deljeni_bloki_prebrani | veliko celo \u0161tevilo        |\n deljeni_bloki_spremenjeni | veliko celo \u0161tevilo        |\n deljeni_bloki_zapisani | veliko celo \u0161tevilo        |\n lokalni_bloki_prihodi | veliko celo \u0161tevilo        |\n lokalni_bloki_prebrani  | veliko celo \u0161tevilo        |\n lokalni_bloki_spremenjeni | veliko celo \u0161tevilo        |\n lokalni_bloki_zapisani  | veliko celo \u0161tevilo        |\n za\u010dasni_bloki_prebrani | veliko celo \u0161tevilo        |\n za\u010dasni_bloki_zapisani  | veliko celo \u0161tevilo        |\n cas_prebiranja_blokov  | dvojna natan\u010dnost          |\n cas_zapisovanja_blokov | dvojna natan\u010dnost          |\n id_osnove        | celo \u0161tevilo               |\nIndeksi:\n    \"pg_stat_history_pkey\" PRIMARNI KLJU\u010c, btree (id)\n    \"database_idx\" btree (id_baze)\n    \"queryid_idx\" btree (id_poizvedbe)\n    \"snapshot_timestamp_idx\" btree (timestamp_posnetka)\nTuji klju\u010dni omejitvi:\n    \"database_id_fk\" TUJI KLJU\u010c (id_baze) SKLICUJE NA baza(id) OB IZBRISU CASCADE<\/pre>\n<p>\nKot je o\u010ditno, tabela predstavlja zgolj kumulativne podatke prikaza <b>pg_stat_statements <\/b> v ciljni bazi podatkov.<\/p>\n<h3>Uporaba te tabele je zelo preprosta<\/h3>\n<p>\n<b>pg_stat_history<\/b> bodo predstavljali akumulirano statistiko izvajanja poizvedb za vsak trenutek. Na za\u010detku vsakega trenutka, po izpolnitvi tabele, se statistika <b>pg_stat_statements<\/b> ponastavi z uporabo <b>pg_stat_statements_reset()<\/b>.<br \/>\nOpomba: <i>statistika se zbira za poizvedbe, katerih \u010das izvajanja je dalj\u0161i od 1 sekunde.<\/i><br \/>\n<b class=\"spoiler_title\">Izpolnitev tabele pg_stat_history<\/b><\/p>\n<pre><code class=\"plaintext\">--pg_stat_history.sql\nCREATE OR REPLACE FUNCTION pg_stat_history( ) RETURNS boolean AS $$\nDECLARE\n  endpoint_rec record ;\n  database_rec record ;\n  pg_stat_snapshot record ;\n  current_snapshot_timestamp timestamp without time zone;\nBEGIN\n  current_snapshot_timestamp = date_trunc('minute',now());  \n  \n  FOR endpoint_rec IN SELECT * FROM endpoint \n  LOOP\n    FOR database_rec IN SELECT * FROM database WHERE endpoint_id = endpoint_rec.id \n\t  LOOP\n\t    \n\t\tRAISE NOTICE 'CREE UN NUEVO HITO';\n\t\t\n\t\t--Conectar a la base de datos de destino\t  \n\t    EXECUTE 'SELECT dblink_connect(''LINK1'',''host='||endpoint_rec.host||' dbname='||database_rec.name||' user=USER password=PASSWORD '')';\n \n        RAISE NOTICE 'host % y dbname % ',endpoint_rec.host,database_rec.name;\n\t\tRAISE NOTICE 'Creando un hito de pg_stat_statements para la base de datos %',database_rec.name;\n\t\t\n\t\tSELECT \n\t      *\n\t\tINTO \n\t\t  pg_stat_snapshot\n\t    FROM dblink('LINK1',\n\t      'SELECT \n\t       dbid , SUM(calls),SUM(total_time),SUM(rows) ,SUM(shared_blks_hit) ,SUM(shared_blks_read) ,SUM(shared_blks_dirtied) ,SUM(shared_blks_written) , \n           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)\n\t       FROM pg_stat_statements WHERE dbid=(SELECT oid from pg_database where datname=current_database() ) \n\t\t   GROUP BY dbid\n  \t      '\n\t               )\n\t      AS t\n\t       ( dbid oid , calls bigint , \n  \t         total_time double precision , \n\t         rows bigint , shared_blks_hit bigint , shared_blks_read bigint ,shared_blks_dirtied bigint ,shared_blks_written\t bigint ,\n             local_blks_hit\t bigint ,local_blks_read bigint , local_blks_dirtied bigint ,local_blks_written bigint ,\n             temp_blks_read\t bigint ,temp_blks_written bigint ,\n             blk_read_time double precision , blk_write_time double precision\t  \n\t       );\n\t\t \n\t\tINSERT INTO pg_stat_history\n          ( \n\t\t    snapshot_timestamp  ,database_id  ,\n\t\t\tdbid , calls  ,total_time ,\n            rows ,shared_blks_hit  ,shared_blks_read  ,shared_blks_dirtied  ,shared_blks_written ,local_blks_hit , \t \n            local_blks_read,local_blks_dirtied,local_blks_written,temp_blks_read,temp_blks_written, \t\n            blk_read_time, blk_write_time \n\t\t  )\t\t  \n\t    VALUES\n\t      (\n\t       current_snapshot_timestamp ,\n\t\t   database_rec.id ,\n\t       pg_stat_snapshot.dbid ,pg_stat_snapshot.calls,\n\t       pg_stat_snapshot.total_time,\n\t       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 , \n           pg_stat_snapshot.local_blks_hit , pg_stat_snapshot.local_blks_read , pg_stat_snapshot.local_blks_dirtied , pg_stat_snapshot.local_blks_written , \n\t       pg_stat_snapshot.temp_blks_read , pg_stat_snapshot.temp_blks_written , pg_stat_snapshot.blk_read_time , pg_stat_snapshot.blk_write_time \t   \n\t      );\t\t   \n\t\t  \n        RAISE NOTICE 'Creando un hito de pg_stat_statements para consultas con un tiempo m\u00ednimo superior a 1000ms';\n\t\n        FOR pg_stat_snapshot IN\n          --Todas las consultas con un tiempo m\u00e1ximo superior a 1000 ms\n\t      SELECT \n\t        *\n\t      FROM dblink('LINK1',\n\t        'SELECT \n\t         dbid , userid ,queryid,query,calls,total_time,min_time ,max_time,mean_time, stddev_time ,rows ,shared_blks_hit ,\n\t\t\t shared_blks_read ,shared_blks_dirtied ,shared_blks_written , \n             local_blks_hit , local_blks_read , local_blks_dirtied , \n\t\t\t local_blks_written , temp_blks_read , temp_blks_written , blk_read_time , \n\t\t\t blk_write_time\n\t         FROM pg_stat_statements \n\t\t\t WHERE dbid=(SELECT oid from pg_database where datname=current_database() AND min_time &gt;= 1000 ) \n  \t        '\n\n\t                  )\n\t        AS t\n\t         ( dbid oid , userid oid , queryid bigint ,query text , calls bigint , \n  \t           total_time double precision ,min_time double precision\t ,max_time double precision\t , mean_time double precision\t ,  stddev_time double precision\t , \n\t           rows bigint , shared_blks_hit bigint , shared_blks_read bigint ,shared_blks_dirtied bigint ,shared_blks_written\t bigint ,\n               local_blks_hit\t bigint ,local_blks_read bigint , local_blks_dirtied bigint ,local_blks_written bigint ,\n               temp_blks_read\t bigint ,temp_blks_written bigint ,\n               blk_read_time double precision , blk_write_time double precision\t  \n\t         )\n\t    LOOP\n\t\t  INSERT INTO pg_stat_history\n          ( \n\t\t    snapshot_timestamp  ,database_id  ,\n\t\t\tdbid ,userid  , queryid  , query  , calls  ,total_time ,min_time ,max_time ,mean_time ,stddev_time ,\n            rows ,shared_blks_hit  ,shared_blks_read  ,shared_blks_dirtied  ,shared_blks_written ,local_blks_hit , \t \n            local_blks_read,local_blks_dirtied,local_blks_written,temp_blks_read,temp_blks_written, \t\n            blk_read_time, blk_write_time \n\t\t  )\t\t  \n\t      VALUES\n\t      (\n\t       current_snapshot_timestamp ,\n\t\t   database_rec.id ,\n\t       pg_stat_snapshot.dbid ,pg_stat_snapshot.userid ,pg_stat_snapshot.queryid,pg_stat_snapshot.query,pg_stat_snapshot.calls,\n\t       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 ,\n\t       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 , \n           pg_stat_snapshot.local_blks_hit , pg_stat_snapshot.local_blks_read , pg_stat_snapshot.local_blks_dirtied , pg_stat_snapshot.local_blks_written , \n\t       pg_stat_snapshot.temp_blks_read , pg_stat_snapshot.temp_blks_written , pg_stat_snapshot.blk_read_time , pg_stat_snapshot.blk_write_time \t   \n\t      );\n\t\t  \n        END LOOP;\n\n        PERFORM dblink_disconnect('LINK1');  \n\t\t\t\t\n\t  END LOOP ;--FOR database_rec IN SELECT * FROM database WHERE endpoint_id = endpoint_rec.id \n    \n  END LOOP;\n\nRETURN TRUE;  \nEND\n$$ LANGUAGE plpgsql;<\/code><\/pre>\n<p>Kotna, po nekem \u010dasu v tabeli <b>pg_stat_history<\/b> bomo imeli niz posnetkov vsebine tabele <b>pg_stat_statements <\/b>ciljne baze podatkov. <\/p>\n<h2>Opravi\u010dujem se za poro\u010danje<\/h2>\n<p>\nZ enostavnimi poizvedbami lahko pridobimo zelo uporabna in zanimiva poro\u010dila.<\/p>\n<h2>Agregirani podatki za dolo\u010den \u010dasovni okvir<\/h2>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">SELECT \n  database_id , \n  SUM(calls) AS calls ,SUM(total_time)  AS total_time ,\n  SUM(rows) AS rows , SUM(shared_blks_hit)  AS shared_blks_hit,\n  SUM(shared_blks_read) AS shared_blks_read ,\n  SUM(shared_blks_dirtied) AS shared_blks_dirtied,\n  SUM(shared_blks_written) AS shared_blks_written , \n  SUM(local_blks_hit) AS local_blks_hit , \n  SUM(local_blks_read) AS local_blks_read , \n  SUM(local_blks_dirtied) AS local_blks_dirtied , \n  SUM(local_blks_written)  AS local_blks_written,\n  SUM(temp_blks_read) AS temp_blks_read, \n  SUM(temp_blks_written) temp_blks_written , \n  SUM(blk_read_time) AS blk_read_time , \n  SUM(blk_write_time) AS blk_write_time\nFROM \n  pg_stat_history\nWHERE \n  queryid IS NULL AND\n  database_id = DATABASE_ID  AND\n  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT\nGROUP BY database_id ;<\/code><\/pre>\n<p><\/p>\n<h4>DB \u010das<\/h4>\n<blockquote><p>to_char(interval '1 millisecond' * pg_total_stat_history_rec.total_time, 'HH24:MI:SS.MS')<\/p><\/blockquote>\n<p><\/p>\n<h4>I\/O \u010das<\/h4>\n<blockquote><p>to_char(interval '1 millisecond' * (pg_total_stat_history_rec.blk_read_time + pg_total_stat_history_rec.blk_write_time), 'HH24:MI:SS.MS')<\/p><\/blockquote>\n<h3>TOP10 SQL po skupnem \u010dasu<\/h3>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">SELECT \n  queryid , \n  SUM(calls) AS calls ,\n  SUM(total_time)  AS total_time  \t\nFROM \n  pg_stat_history\nWHERE \n  queryid IS NOT NULL AND \n  database_id = DATABASE_ID AND\n  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT \nGROUP BY queryid \nORDER BY 3 DESC \nLIMIT 10<\/code><\/pre>\n<pre>-------------------------------------------------------------------------------------\n| TOP10 SQL PO SKUPNEM \u010cASU IZVEDBE\n|   #|    queryid|      calls|    odstotek klicev|                skupni \u010das (ms) |  % db \u010das\n+----+-----------+-----------+-----------+--------------------------------+----------\n|   1|  821760255|          2|     .00001|00:03:23.141(    203141.681 ms.)|      5.42\n|   2| 4152624390|          2|     .00001|00:03:13.929(    193929.215 ms.)|      5.17\n|   3| 1484454471|          4|     .00001|00:02:09.129(    129129.057 ms.)|      3.44\n|   4|  655729273|          1|     .00000|00:02:01.869(    121869.981 ms.)|      3.25\n|   5| 2460318461|          1|     .00000|00:01:33.113(     93113.835 ms.)|      2.48\n|   6| 2194493487|          4|     .00001|00:00:17.377(     17377.868 ms.)|       .46\n|   7| 1053044345|          1|     .00000|00:00:06.156(      6156.352 ms.)|       .16\n|   8| 3644780286|          1|     .00000|00:00:01.063(      1063.830 ms.)|       .03\n<\/pre>\n<h4>TOP10 SQL po skupnem I\/O \u010dasu<\/h4>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">SELECT \n  queryid , \n  SUM(calls) AS calls ,\n  SUM(blk_read_time + blk_write_time)  AS io_time\nFROM \n  pg_stat_history\nWHERE \n  queryid IS NOT NULL AND \n  database_id = DATABASE_ID  AND\n  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT\nGROUP BY  queryid \nORDER BY 3 DESC \nLIMIT 10<\/code><\/pre>\n<pre>----------------------------------------------------------------------------------------\n| TOP10 SQL PO SKUPNI \u010cAS I\/O\n|   #|    queryid|      pozivi|    % poziva|                   I\/O \u010das (ms)|% db I\/O \u010das\n+----+-----------+-----------+-----------+--------------------------------+-------------\n|   1| 4152624390|          2|     .00001|00:08:31.616(    511616.592 ms.)|        31.06\n|   2|  821760255|          2|     .00001|00:08:27.099(    507099.036 ms.)|        30.78\n|   3|  655729273|          1|     .00000|00:05:02.209(    302209.137 ms.)|        18.35\n|   4| 2460318461|          1|     .00000|00:04:05.981(    245981.117 ms.)|        14.93\n|   5| 1484454471|          4|     .00001|00:00:39.144(     39144.221 ms.)|         2.38\n|   6| 2194493487|          4|     .00001|00:00:18.182(     18182.816 ms.)|         1.10\n|   7| 1053044345|          1|     .00000|00:00:16.611(     16611.722 ms.)|         1.01\n|   8| 3644780286|          1|     .00000|00:00:00.436(       436.205 ms.)|          .03\n<\/pre>\n<h4>TOP10 SQL po maksimalnem \u010dasu izvedbe<\/h4>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">IZBERITE \n  id KOT snapshotid , \n  queryid , \n  snapshot_timestamp ,  \n  max_time \nIZ PG_STAT_HISTORY \nKJER \n  queryid NI NULL IN \n  database_id = DATABASE_ID  IN\n  snapshot_timestamp MED BETWEEN_TIMEPOINT IN END_TIMEPOINT\nORDER BY 4 DESC \nLIMIT 10<\/code><\/pre>\n<p><\/p>\n<pre>-----------------------------------------------------------------------------------------\n| TOP10 SQL PO MAKSIMALNEM \u010cASU IZVEDBE\n|   #|          snapshot| snapshotID|    queryid|                           max_time (ms)\n+----+------------------+-----------+-----------+----------------------------------------\n|   1|  05.04.2019 01:03|       4169|  655729273|        00:02:01.869(    121869.981 ms.)\n|   2|  04.04.2019 17:00|       4153|  821760255|        00:01:41.570(    101570.841 ms.)\n|   3|  04.04.2019 16:00|       4146|  821760255|        00:01:41.570(    101570.841 ms.)\n|   4|  04.04.2019 16:00|       4144| 4152624390|        00:01:36.964(     96964.607 ms.)\n|   5|  04.04.2019 17:00|       4151| 4152624390|        00:01:36.964(     96964.607 ms.)\n|   6|  05.04.2019 10:00|       4188| 1484454471|        00:01:33.452(     93452.150 ms.)\n|   7|  04.04.2019 17:00|       4150| 2460318461|        00:01:33.113(     93113.835 ms.)\n|   8|  04.04.2019 15:00|       4140| 1484454471|        00:00:11.892(     11892.302 ms.)\n|   9|  04.04.2019 16:00|       4145| 1484454471|        00:00:11.892(     11892.302 ms.)\n|  10|  04.04.2019 17:00|       4152| 1484454471|        00:00:11.892(     11892.302 ms.)\n<\/pre>\n<h4>TOP10 SQL po PREBERI\/PI\u0160I v skupnem pomnilniku<\/h4>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">IZBERITE \n  id KOT snapshotid , \n  queryid ,\n  snapshot_timestamp , \n  shared_blks_read , \n  shared_blks_written \nIZ PG_STAT_HISTORY\nKJER \n  queryid NI NULL IN \n  database_id = DATABASE_ID  IN\n  snapshot_timestamp MED BETWEEN_TIMEPOINT IN END_TIMEPOINT IN\n  ( shared_blks_read &gt; 0 ALI shared_blks_written &gt; 0 )\nORDER BY 4 DESC  , 5 DESC \nLIMIT 10<\/code><\/pre>\n<pre>--------------------------------------------------------------------------------------------\n| TOP10 SQL PO DELJENJU BUFERSKE PREMA \u010cITANJU\/UPISU\n|   #|          snapshot| snapshotID|    queryid|   deljeni blokovi pro\u010ditani|  deljeni blokovi zapisani\n+----+------------------+-----------+-----------+---------------------+---------------------\n|   1|  04.04.2019 17:00|       4153|  821760255|               797308|                    0\n|   2|  04.04.2019 16:00|       4146|  821760255|               797308|                    0\n|   3|  05.04.2019 01:03|       4169|  655729273|               797158|                    0\n|   4|  04.04.2019 16:00|       4144| 4152624390|               756514|                    0\n|   5|  04.04.2019 17:00|       4151| 4152624390|               756514|                    0\n|   6|  04.04.2019 17:00|       4150| 2460318461|               734117|                    0\n|   7|  04.04.2019 17:00|       4155| 3644780286|                52973|                    0\n|   8|  05.04.2019 01:03|       4168| 1053044345|                52818|                    0\n|   9|  04.04.2019 15:00|       4141| 2194493487|                52813|                    0\n|  10|  04.04.2019 16:00|       4147| 2194493487|                52813|                    0\n--------------------------------------------------------------------------------------------\n<\/pre>\n<h4>Histogram raspodele zahteva prema maksimalnom vremenu trajanja<\/h4>\n<p><b class=\"spoiler_title\">Poizvedbe<\/b><\/p>\n<pre><code class=\"plaintext\">SELECT  \n  MIN(max_time) AS hist_min  , \n  MAX(max_time) AS hist_max , \n  (( MAX(max_time) - MIN(min_time) ) \/ hist_columns ) as hist_width\nFROM \n  pg_stat_history \nWHERE \n  queryid IS NOT NULL AND\n  database_id = DATABASE_ID  AND\n  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT ;\n\nSELECT \n  SUM(calls) AS calls\nFROM \n  pg_stat_history \nWHERE \n  queryid IS NOT NULL AND\n  database_id =DATABASE_ID  AND\n  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT AND \n  ( max_time &gt;= hist_current_min AND  max_time &lt; hist_current_max ) ;\n<\/code><\/pre>\n<pre>|-----------------------------------------------------------------------------------------------\n| MAX_TIME HISTOGRAM\n| TOTAL CALLS : 33851920\n| MIN TIME  : 00:00:01.063\n| MAX TIME  : 00:02:01.869\n---------------------------------------------------------------------------------\n|                      min trajanje|                      max trajanje|     pozivi\n+----------------------------------+----------------------------------+----------\n| 00:00:01.063(      1063.830 ms.) | 00:00:13.144(     13144.445 ms.) | 9\n| 00:00:13.144(     13144.445 ms.) | 00:00:25.225(     25225.060 ms.) | 0\n| 00:00:25.225(     25225.060 ms.) | 00:00:37.305(     37305.675 ms.) | 0\n| 00:00:37.305(     37305.675 ms.) | 00:00:49.386(     49386.290 ms.) | 0\n| 00:00:49.386(     49386.290 ms.) | 00:01:01.466(     61466.906 ms.) | 0\n| 00:01:01.466(     61466.906 ms.) | 00:01:13.547(     73547.521 ms.) | 0\n| 00:01:13.547(     73547.521 ms.) | 00:01:25.628(     85628.136 ms.) | 0\n| 00:01:25.628(     85628.136 ms.) | 00:01:37.708(     97708.751 ms.) | 4\n| 00:01:37.708(     97708.751 ms.) | 00:01:49.789(    109789.366 ms.) | 2\n| 00:01:49.789(    109789.366 ms.) | 00:02:01.869(    121869.981 ms.) | 0\n<\/pre>\n<h4>TOP10 Snimaka po Upitu po Sekundi<\/h4>\n<p><b class=\"spoiler_title\">Poizvedbe<\/b><\/p>\n<pre><code class=\"plaintext\">--pg_qps.sql\n--Izra\u010dunajte upite po sekundi \nCREATE OR REPLACE FUNCTION pg_qps( pg_stat_history_id integer ) RETURNS double precision AS $$\nDECLARE\n pg_stat_history_rec record ;\n prev_pg_stat_history_id integer ;\n prev_pg_stat_history_rec record;\n total_seconds double precision ;\n result double precision;\nBEGIN \n  result = 0 ;\n  \n  SELECT *\n  INTO pg_stat_history_rec\n  FROM \n    pg_stat_history\n  WHERE id = pg_stat_history_id ;\n\n  IF pg_stat_history_rec.snapshot_timestamp IS NULL \n  THEN\n    RAISE EXCEPTION 'GRE\u0160KA - Nema podataka za pg_stat_history za id = %',pg_stat_history_id;\n  END IF ;  \n  \n --RAISE NOTICE 'pg_stat_history_id = % , snapshot_timestamp = %', pg_stat_history_id , \n pg_stat_history_rec.snapshot_timestamp ;\n  \n  SELECT \n    MAX(id)   \n  INTO\n    prev_pg_stat_history_id\n  FROM\n    pg_stat_history\n  WHERE \n    database_id = pg_stat_history_rec.database_id AND\n\tqueryid IS NULL AND\n\tid  0 \n  THEN\n    result = pg_stat_history_rec.calls \/ total_seconds ;\n  ELSE\n   result = 0 ; \n  END IF;\n   \n RETURN result ;\nEND\n$$ LANGUAGE plpgsql;\n\n\nSELECT \n  id , \n  snapshot_timestamp ,\n  calls , \t\n  total_time , \n  ( select pg_qps( id )) AS QPS ,\n  blk_read_time ,\n  blk_write_time\nFROM \n  pg_stat_history\nWHERE \n  queryid IS NULL AND \n  database_id = DATABASE_ID  AND\n  snapshot_timestamp BETWEEN BEGIN_TIMEPOINT AND END_TIMEPOINT AND\n  ( select pg_qps( id )) IS NOT NULL \nORDER BY 5 DESC \nLIMIT 10\n<\/code><\/pre>\n<pre>|-----------------------------------------------------------------------------------------------\n| TOP10 Posnetki razvr\u0161\u010deni po \u0161tevilu QueryPerSeconds\n-----------------------------------------------------------------------------------------------------------------------------------------------\n|    #|          posnetek| snapshotID|      klici|                      skupni db \u010das|        QPS|                          I\/O \u010das| I\/O \u010das %\n+-----+------------------+-----------+-----------+----------------------------------+-----------+----------------------------------+-----------\n|    1|  04.04.2019 20:04|       4161|    5758631|  00:06:30.513(    390513.926 ms.)|   1573.396|  00:00:01.470(      1470.110 ms.)|       .376\n|    2|  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\n|    3|  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\n|    4|  04.04.2019 21:03|       4163|    2781536|  00:03:06.470(    186470.979 ms.)|    785.745|  00:00:00.249(       249.865 ms.)|       .134\n|    5|  04.04.2019 19:03|       4159|    2890362|  00:03:16.784(    196784.755 ms.)|    776.979|  00:00:01.441(      1441.386 ms.)|       .732\n|    6|  04.04.2019 14:00|       4137|    2397326|  00:04:43.033(    283033.854 ms.)|    665.924|  00:00:00.024(        24.505 ms.)|       .009\n|    7|  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\n|    8|  04.04.2019 13:00|       4135|    2373043|  00:04:26.791(    266791.988 ms.)|    659.179|  00:00:00.064(        64.261 ms.)|       .024\n|    9|  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\n|   10|  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\n<\/pre>\n<h4>Tvorba zgodovine izvajanja z QueryPerSeconds in I\/O \u010dasom<\/h4>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">IZBERI \n  id , \n  \u010das_zapisovanja_posnetka ,\n  klici , \t\n  skupni_\u010das , \n  ( izberi pg_qps( id )) AS QPS ,\n  blk_read_time ,\n  blk_write_time\nIZ \n  pg_stat_history\nKJER \n  queryid JE NULL IN \n  database_id = DATABASE_ID  IN\n  \u010das_zapisovanja_posnetka MED TEMPA IN TEMPA\nNARO\u010cI PO 2\n<\/code><\/pre>\n<pre>|-----------------------------------------------------------------------------------------------\n| ISTORIJOS VYKDYMAS KAS VALAND\u0104 SU QueryPerSeconds IR I\\\/O LAIKU\n-----------------------------------------------------------------------------------------------------------------------------------------------\n| U\u017dKLAUS\u0172 PER SEKUND\u0118 ISTORIJA\n|    #|          momentinis| momentinisID|      skambu\u010diai|                      bendras dblaikas|        QPS|                          I\\\/O laikas| I\\\/O laikas %\n+-----+------------------+-----------+-----------+----------------------------------+-----------+----------------------------------+-----------\n|    1|  04.04.2019 11:00|       4131|       3747|  00:00:00.835(       835.374 ms.)|      1.041|  00:00:00.000(          .000 ms.)|       .000\n|    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\n|    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\n|    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\n|    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\n|    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\n|    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\n|    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\n|    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\n|   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\n|   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\n|   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\n|   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\n|   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\n|   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\n|   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\n|   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\n|   18|  05.04.2019 06:00|       4179|       3747|  00:00:00.849(       849.561 ms.)|      1.041|  00:00:00.000(          .051 ms.)|       .006\n|   19|  05.04.2019 07:00|       4181|       3747|  00:00:00.839(       839.416 ms.)|      1.041|  00:00:00.000(          .062 ms.)|       .007\n|   20|  05.04.2019 08:00|       4183|       3747|  00:00:00.846(       846.382 ms.)|      1.041|  00:00:00.000(          .007 ms.)|       .001\n|   21|  05.04.2019 09:00|       4185|       3747|  00:00:00.855(       855.426 ms.)|      1.041|  00:00:00.000(          .065 ms.)|       .008\n|   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\n<\/pre>\n<h4>Visi SQL-selekt\u0173 tekstai<\/h4>\n<p><b class=\"spoiler_title\">\u0417\u0430\u043f\u0440\u043e\u0441<\/b><\/p>\n<pre><code class=\"plaintext\">IZBERITE \n  queryid , \n  poizvedba \nIZ \n  pg_stat_history\nKJER \n  queryid NI NULL IN \n  database_id = DATABASE_ID  IN\n  snapshot_timestamp MEDI BEGIN_TIMEPOINT IN END_TIMEPOINT\nGROUP BY queryid , poizvedba\n<\/code><\/pre>\n<h2>Zaklju\u010dek<\/h2>\n<p>\nKot vidno, s precej preprostimi sredstvi lahko pridobimo veliko koristnih informacij o obremenitvi in stanju baze. <\/p>\n<p><b>Opomba:<\/b>\u010ce v poizvedbah zabele\u017eimo queryid, dobimo zgodovino za posamezno poizvedbo (z namenom var\u010devanja s prostorom so poro\u010dila za posamezno poizvedbo izpu\u0161\u010dena).<\/p>\n<p>Torej, statisti\u010dni podatki o uspe\u0161nosti poizvedb - so na voljo in se zbirajo.<br \/>\nPrva faza 'zbiranje statisti\u010dnih podatkov' - je zaklju\u010dena.<\/p>\n<p>Lahko preidemo na drugo fazo - 'nastavitev meril uspe\u0161nosti'.<br \/>\n<img decoding=\"async\" alt=\"Pra\u0107enje performansi zahteva PostgreSQL. Deo 1 \u2014 izve\u0161tavanje\" src=\"\/wp-content\/uploads\/2019\/04\/a893e49280d4cb425e4667a5c51d2397.jpeg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\n<b>Ampak to je \u017ee povsem druga zgodba.<\/b><\/p>\n<p><i>Nastavi\u0107e se\u2026<\/i><br \/>\n<br \/>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/icl_services\/blog\/446734\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0418\u043d\u0436\u0435\u043d\u0435\u0440 \u2014 \u0432 \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0435 \u0441 \u043b\u0430\u0442\u044b\u043d\u0438 \u2014 \u0432\u0434\u043e\u0445\u043d\u043e\u0432\u0435\u043d\u043d\u044b\u0439. \u0418\u043d\u0436\u0435\u043d\u0435\u0440 \u043c\u043e\u0436\u0435\u0442 \u0432\u0441\u0451. (\u0441) \u0420.\u0414\u0438\u0437\u0435\u043b\u044c. \u042d\u043f\u0438\u0433\u0440\u0430\u0444\u044b. \u0418\u043b\u0438 \u0438\u0441\u0442\u043e\u0440\u0438\u044f \u043e \u0442\u043e\u043c, \u0437\u0430\u0447\u0435\u043c \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u0443 \u0431\u0430\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0441\u043f\u043e\u043c\u0438\u043d\u0430\u0442\u044c \u0441\u0432\u043e\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0441\u0442\u0441\u043a\u043e\u0435 \u043f\u0440\u043e\u0448\u043b\u043e\u0435. \u041f\u0440\u0435\u0434\u0438\u0441\u043b\u043e\u0432\u0438\u0435 \u0412\u0441\u0435 \u0438\u043c\u0435\u043d\u0430 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u044b. \u0421\u043e\u0432\u043f\u0430\u0434\u0435\u043d\u0438\u044f \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b. \u041c\u0430\u0442\u0435\u0440\u0438\u0430\u043b \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0441\u043e\u0431\u043e\u0439 \u0438\u0441\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043b\u0438\u0447\u043d\u043e\u0435 \u043c\u043d\u0435\u043d\u0438\u0435 \u0430\u0432\u0442\u043e\u0440\u0430. Disclaimer of warranties: \u0432 \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u0435\u043c\u043e\u043c \u0446\u0438\u043a\u043b\u0435 \u0441\u0442\u0430\u0442\u0435\u0439 \u043d\u0435 \u0431\u0443\u0434\u0435\u0442 \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u043e\u0433\u043e \u0438 \u0442\u043e\u0447\u043d\u043e\u0433\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0445 \u0442\u0430\u0431\u043b\u0438\u0446 \u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":24168,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-32353","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0418\u043d\u0436\u0435\u043d\u0435\u0440 \u2014 \u0432 \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0435 \u0441 \u043b\u0430\u0442\u044b\u043d\u0438 \u2014 \u0432\u0434\u043e\u0445\u043d\u043e\u0432\u0435\u043d\u043d\u044b\u0439. \u0418\u043d\u0436\u0435\u043d\u0435\u0440 \u043c\u043e\u0436\u0435\u0442 \u0432\u0441\u0451. 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