{"id":38196,"date":"2019-10-31T22:22:13","date_gmt":"2019-10-31T19:22:13","guid":{"rendered":"https:\/\/prohoster.info\/blog\/odin-iz-metodov-polucheniya-profilya-rabochej-nagruzki-i-istorii-ozhidanij-v-postgresql\/"},"modified":"2019-10-31T22:22:13","modified_gmt":"2019-10-31T19:22:13","slug":"odin-iz-metodov-polucheniya-profilya-rabochej-nagruzki-i-istorii-ozhidanij-v-postgresql","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/administrirovanie\/odin-iz-metodov-polucheniya-profilya-rabochej-nagruzki-i-istorii-ozhidanij-v-postgresql","title":{"rendered":"Jeden z metod pro z\u00edsk\u00e1n\u00ed profilu pracovn\u00edho zat\u00ed\u017een\u00ed a historie \u010dek\u00e1n\u00ed v PostgreSQL","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Pokra\u010dov\u00e1n\u00ed \u010dl\u00e1nku &#171;<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467181\/\">Pokra\u010dov\u00e1n\u00ed pokusu o vytvo\u0159en\u00ed ekvivalentu ASH pro PostgreSQL <\/a><\/noindex>&#171;.<\/p>\n<p>V \u010dl\u00e1nku bude podrobn\u011b probr\u00e1no a uk\u00e1z\u00e1no na konkr\u00e9tn\u00edch dotazech a p\u0159\u00edkladech, jak\u00e9 u\u017eite\u010dn\u00e9 informace lze z\u00edskat d\u00edky pohledu pg_stat_activity.<\/p>\n<blockquote><p>Upozorn\u011bn\u00ed.<br \/>\nVzhledem k novosti t\u00e9matu a nedokon\u010den\u00ed testovac\u00edho obdob\u00ed m\u016f\u017ee \u010dl\u00e1nek obsahovat chyby. Kritika a p\u0159ipom\u00ednky jsou v\u00edt\u00e1ny a o\u010dek\u00e1v\u00e1ny.<\/p><\/blockquote>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Vstupn\u00ed data<\/h2>\n<p><\/p>\n<h3>Historie pohledu pg_stat_statements<\/h3>\n<p>\n<b class=\"spoiler_title\">pg_stat_history<\/b><\/p>\n<pre><code class=\"pgsql\">VYTVO\u0158IT TABULKU pg_stat_history ( \nid SERIAL, \nsnapshot_timestamp timestamp bez \u010dasov\u00e9ho p\u00e1sma, \ndatabase_id integer,\ndbid oid,\nuserid oid,\nqueryid bigint,\nquery text,\ncalls bigint, \ntotal_time double precision, \nmin_time double precision, \nmax_time double precision, \nmean_time double precision,\nstddev_time double precision,\nrows bigint,\nshared_blks_hit bigint, \nshared_blks_read bigint, \nshared_blks_dirtied bigint, \nshared_blks_written bigint, \nlocal_blks_hit bigint, \nlocal_blks_read bigint,\nlocal_blks_dirtied bigint, \nlocal_blks_written bigint, \ntemp_blks_read bigint,\ntemp_blks_written bigint,\nblk_read_time double precision, \nblk_write_time double precision, \nbaseline_id integer );<\/code><\/pre>\n<p>\n Tabulka se vypl\u0148uje ka\u017edou hodinu pomoc\u00ed dblink na c\u00edlovou datab\u00e1zi. Nejzaj\u00edmav\u011bj\u0161\u00ed a nejpou\u017eiteln\u011bj\u0161\u00ed sloupec v tabulce je samoz\u0159ejm\u011b <b>queryid<\/b>.<\/p>\n<h3>Historie pohledu pg_stat_activity<\/h3>\n<p>\n<b class=\"spoiler_title\">archive_pg_stat_activity<\/b><\/p>\n<pre><code class=\"pgsql\">VYTVO\u0158IT TABULKU archive_pg_stat_activity\n(\n  timepoint timestamp bez \u010dasov\u00e9ho p\u00e1sma,\n  datid             oid, \n  datname           n\u00e1zev,\n  pid               integer,\n  usesysid          oid,\n  usename           n\u00e1zev,\n  application_name  text,\n  client_addr       inet,\n  client_hostname   text,\n  client_port       integer,\n  backend_start     timestamp bez \u010dasov\u00e9ho p\u00e1sma,\n  xact_start        timestamp bez \u010dasov\u00e9ho p\u00e1sma,\n  query_start       timestamp bez \u010dasov\u00e9ho p\u00e1sma,\n  state_change      timestamp bez \u010dasov\u00e9ho p\u00e1sma,\n  wait_event_type   text,                     \n  wait_event        text,                   \n  state             text,                  \n  backend_xid       xid,                 \n  backend_xmin      xid,                \n  query             text,               \n  backend_type      text,\n  queryid           bigint\n);<\/code><\/pre>\n<p>\nTabulka p\u0159edstavuje hodinov\u011b segmentovanou tabulku history_pg_stat_activity (podrobnosti zde \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467277\/\">pg_stat_statements + pg_stat_activity + loq_query = pg_ash? <\/a><\/noindex> a zde \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467181\/\">PokAttempt to create an ASH equivalent for PostgreSQL.)<\/a><\/noindex><\/p>\n<h2>V\u00fdstupn\u00ed data<\/h2>\n<p><\/p>\n<h3>CLUSTER CPU TIME (SYST\u00c9M + KLIENTI )<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">S \n t AS\n (\n\tSELECT \t\t\n\t\t\tdate_trunc('second', timepoint)\n\tFROM \tactivity_hist.archive_pg_stat_activity aa\n\tWHERE \ttimepoint MEZI pg_stat_history_begin+(current_hour_diff * interval '1 hour') A pg_stat_history_end+(current_hour_diff * interval '1 hour')  A \n\t\t\t( aa.wait_event_type IS NULL  ) A\n\t\t\taa.state = 'active'\n )\n SELECT count(*) \n INTO cpu_total\n FROM t ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre><code class=\"plaintext\">CLUSTER CPU TIME (SYST\u00c9M + KLIENTI ) : 28:37:46<\/code><\/pre>\n<p><\/p>\n<h3>CLUSTER WAITINGS TIME<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">S \n t AS\n (\n\tSELECT \t\t\n\t\t\tdate_trunc('second', timepoint)\n\tFROM \tactivity_hist.archive_pg_stat_activity aa\n\tWHERE \ttimepoint MEZI pg_stat_history_begin+(current_hour_diff * interval '1 hour') A pg_stat_history_end+(current_hour_diff * interval '1 hour')  A \n\t\t\t( aa.wait_event_type IS NOT NULL  ) A\n\t\t\taa.state = 'active'\n )\n SELECT count(*) \n INTO cpu_total\n FROM t ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre><code class=\"plaintext\">CLUSTER WAITINGS TIME : 30:12:49<\/code><\/pre>\n<p><\/p>\n<h3>Celkov\u00e9 hodnoty pg_stat_statements<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\"> --TOTAL pg_stat\n  SELECT \n    SUM(calls) AS calls, SUM(total_time)  AS total_time, SUM(rows) AS rows ,\n\tSUM(shared_blks_hit)  AS shared_blks_hit,SUM(shared_blks_read) AS shared_blks_read ,\n\tSUM(shared_blks_dirtied) AS shared_blks_dirtied,SUM(shared_blks_written) AS shared_blks_written , \n    SUM(local_blks_hit) AS local_blks_hit , SUM(local_blks_read) AS local_blks_read , \n\tSUM(local_blks_dirtied) AS local_blks_dirtied , SUM(local_blks_written)  AS local_blks_written,\n\tSUM(temp_blks_read) AS temp_blks_read, SUM(temp_blks_written) temp_blks_written , \n\tSUM(blk_read_time) AS blk_read_time , SUM(blk_write_time) AS blk_write_time\n  INTO \n    pg_total_stat_history_rec\n  FROM \n    pg_stat_history\n  WHERE \n \tsnapshot_timestamp BETWEEN pg_stat_history_begin AND pg_stat_history_end AND \n\tqueryid IS NULL;<\/code><\/pre>\n<p><\/p>\n<h3>SQL DBTIME \u2014 celkov\u00e9 trv\u00e1n\u00ed vykon\u00e1v\u00e1n\u00ed dotaz\u016f<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">dbtime_total = interval '1 millisecond' * pg_total_stat_history_rec.total_time ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre><code class=\"plaintext\">SQL DBTIME : 136:49:36<\/code><\/pre>\n<p><\/p>\n<h3>SQL CPU TIME \u2014 \u010das CPU vynalo\u017een\u00fd na vykon\u00e1v\u00e1n\u00ed dotaz\u016f<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">WITH \n t AS\n (\n\tSELECT \t\t\n\t\t\tdate_trunc('second', timepoint)\n\tFROM \tactivity_hist.archive_pg_stat_activity aa\n\tWHERE \ttimepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour')  AND \n\t\t\t( aa.wait_event_type IS NULL  ) AND\n\t\t\tbackend_type = 'client backend' AND \n\t\t\taa.state = 'active'\n )\n SELECT count(*) \n INTO cpu_total\n FROM t ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre><code class=\"plaintext\">SQL CPU TIME : 27:40:15<\/code><\/pre>\n<p><\/p>\n<h3>SQL WAITINGS TIME \u2014 celkov\u00e9 trv\u00e1n\u00ed \u010dek\u00e1n\u00ed pro dotazy<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">WITH \n t AS\n (\n\tSELECT \t\t\n\t\t\tdate_trunc('second', timepoint)\n\tFROM \tactivity_hist.archive_pg_stat_activity aa\n\tWHERE \ttimepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour')  AND \n\t\t\t( aa.wait_event_type IS NOT NULL  ) AND\n\t\t\taa.state = 'active' AND \n\t\tbackend_type = 'client backend'\n )\n SELECT count(*) \n INTO waiting_total\n FROM t ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre><code class=\"plaintext\">SQL WAITINGS TIME : 30:04:09<\/code><\/pre>\n<p>\nNyn\u00ed p\u0159ech\u00e1z\u00edme k nejzaj\u00edmav\u011bj\u0161\u00ed \u010d\u00e1sti<\/p>\n<p><b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre><code class=\"plaintext\">| SQL IOTIME : 19:44:50\n| SQL READ TIME : 19:44:32\n| SQL WRITE TIME : 00:00:17\n|\n| SQL CALLS : 12188248\n-------------------------------------------------------------\n| SQL SHARED BLOCKS READS : 7997039120\n| SQL SHARED BLOCKS HITS : 8868286092\n| SQL SHARED BLOCKS HITS\/READS % : 110.89\n| SQL SHARED BLOCKS DIRTED : 419945\n| SQL SHARED BLOCKS WRITTEN : 19857\n|\n| SQL TEMPORARY BLOCKS READS : 7836169\n| SQL TEMPORARY BLOCKS WRITTEN : 10683938\n<\/code><\/pre>\n<p>\nP\u0159ejdeme k nejzaj\u00edmav\u011bj\u0161\u00ed \u010d\u00e1sti<\/p>\n<h2>STATISTIKY \u010cEK\u00c1N\u00cd<\/h2>\n<p><\/p>\n<h3>TOP 10 \u010cEK\u00c1N\u00cd PODLE CELKOV\u00c9HO \u010cASU \u010cEK\u00c1N\u00cd PRO PROCESY KLIENTA<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">SELECT \n  wait_event_type , wait_event ,\n  get_system_waiting_duration( wait_event_type , wait_event ,pg_stat_history_begin+(current_hour_diff * interval '1 hour') ,pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration \nFROM\n  activity_hist.archive_pg_stat_activity aa\nWHERE \n  timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type != 'client backend' AND wait_event_type IS NOT NULL \nGROUP BY \n  wait_event_type, wait_event\nORDER BY 3 DESC\nLIMIT 10<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre>+------------------------------------------------------------------------------------\n| TOP 10 \u010cEK\u00c1N\u00cd PODLE CELKOV\u00c9 D\u00c9LKY \u010cEK\u00c1N\u00cd PRO SYST\u00c9MOV\u00c9 PROCESY\n+-----+------------------------------+--------------------+--------------------\n|    #|               wait_event_type|          wait_event|            duration\n+-----+------------------------------+--------------------+--------------------\n|    1|                      Activity| LogicalLauncherMain|            10:43:28\n|    2|                      Activity|      AutoVacuumMain|            10:42:49\n|    3|                      Activity|       WalWriterMain|            10:28:53\n|    4|                      Activity|    CheckpointerMain|            10:23:50\n|    5|                      Activity|        BgWriterMain|            09:11:59\n|    6|                      Activity|   BgWriterHibernate|            01:37:46\n|    7|                            IO|        BufFileWrite|            00:02:35\n|    8|                        LWLock|      buffer_mapping|            00:01:54\n|    9|                            IO|        DataFileRead|            00:01:23\n|   10|                            IO|            WALWrite|            00:00:59\n+-----+------------------------------+--------------------+--------------------\n<\/pre>\n<p><\/p>\n<h3>TOP 10 \u010cEK\u00c1N\u00cd PODLE CELKOV\u00c9HO \u010cASU \u010cEK\u00c1N\u00cd PRO PROCESY KLIENTA<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">VYBERTE \n  wait_event_type , wait_event ,\n  get_clients_waiting_duration( wait_event_type , wait_event , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration\nZ\n  activity_hist.archive_pg_stat_activity aa\nKDE \n  timepoint MEZI pg_stat_history_begin+(current_hour_diff * interval '1 hour') A pg_stat_history_end+(current_hour_diff * interval '1 hour') A backend_type = 'client backend' A wait_event_type NEN\u00cd NULL \nGROUP BY wait_event_type, wait_event\nORDER BY 3 DESC\nLIMIT 10<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre>+-----+------------------------------+--------------------+--------------------+----------\n|    #|               wait_event_type|          wait_event|            duration|  % dbtime\n+-----+------------------------------+--------------------+--------------------+----------\n|    1|                          Lock|       transactionid|            08:16:47|      6.05\n|    2|                            IO|        DataFileRead|            06:13:41|      4.55\n|    3|                       Timeout|             PgSleep|            02:53:21|      2.11\n|    4|                        LWLock|      buffer_mapping|            00:40:42|       0.5\n|    5|                        LWLock|           buffer_io|            00:17:17|      0.21\n|    6|                            IO|        BufFileWrite|            00:01:34|      0.02\n|    7|                          Lock|               tuple|            00:01:32|      0.02\n|    8|                        Client|          ClientRead|            00:01:19|      0.02\n|    9|                            IO|         BufFileRead|            00:00:37|      0.01\n|   10|                        LWLock|      buffer_content|            00:00:08|         0\n+-----+------------------------------+--------------------+--------------------+----------\n<\/pre>\n<p><\/p>\n<h3>TYPY \u010cEK\u00c1N\u00cd PODLE CELKOV\u00c9 D\u00c9LKY \u010cEK\u00c1N\u00cd PRO SYST\u00c9MOV\u00c9 PROCESY<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">VYBERTE \n  wait_event_type ,\n  get_system_waiting_type_duration( wait_event_type , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration\nZ\n  activity_hist.archive_pg_stat_activity aa\nKDE \n  timepoint MEZI pg_stat_history_begin+(current_hour_diff * interval '1 hour') A pg_stat_history_end+(current_hour_diff * interval '1 hour') A  backend_type != 'client backend' A wait_event_type NEN\u00cd NULL \nGROUP BY wait_event_type\nORDER BY 2 DESC<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre>+-----+------------------------------+--------------------\n|    #|               wait_event_type|            duration\n+-----+------------------------------+--------------------\n|    1|                      Activity|            53:08:45\n|    2|                            IO|            00:06:24\n|    3|                        LWLock|            00:03:02\n+-----+------------------------------+--------------------\n<\/pre>\n<p><\/p>\n<h3> TYPY \u010cEK\u00c1N\u00cd PODLE CELKOV\u00c9 D\u00c9LKY \u010cEK\u00c1N\u00cd PRO PROCESY KLIENT\u016e<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">SELECT \n  wait_event_type ,\n  get_clients_waiting_type_duration( wait_event_type , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration\nFROM\n  activity_hist.archive_pg_stat_activity aa\nWHERE \n  timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type = 'client backend' AND wait_event_type IS NOT NULL \nGROUP BY wait_event_type\nORDER BY 2 DESC<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre>+-----+------------------------------+--------------------+--------------------\n|    #|               wait_event_type|            duration|            % dbtime\n+-----+------------------------------+--------------------+--------------------\n|    1|                          Lock|            08:18:19|                6.07\n|    2|                            IO|            06:16:01|                4.58\n|    3|                       Timeout|            02:53:21|                2.11\n|    4|                        LWLock|            00:58:12|                0.71\n|    5|                        Client|            00:01:19|                0.02\n|    6|                           IPC|            00:00:04|                   0\n+-----+------------------------------+--------------------+--------------------\n<\/pre>\n<p>\nD\u00e9lky \u010dek\u00e1n\u00ed pro syst\u00e9mov\u00e9 procesy a jednotliv\u00e9 dotazy.<\/p>\n<h3>\u010cEK\u00c1N\u00cd PRO SYST\u00c9MOV\u00c9 PROCESY<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">SELECT \n  backend_type , datname , wait_event_type , wait_event , get_backend_type_waiting_duration( backend_type , wait_event_type , wait_event , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) as duration \nFROM \n  activity_hist.archive_pg_stat_activity aa\nWHERE \n  timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * interval '1 hour') AND pg_stat_history_end+(current_hour_diff * interval '1 hour') AND backend_type != 'client backend' AND wait_event_type IS NOT NULL \nGROUP BY backend_type , datname , wait_event_type , wait_event\nORDER BY 5 DESC<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre>+-----+-----------------------------+----------+--------------------+----------------------+--------------------\n|    #|                 backend_type|    dbname|     wait_event_type|            wait_event|            duration\n+-----+-----------------------------+----------+--------------------+----------------------+--------------------\n|    1| logick\u00e1 replikace launcheru|          |            Aktivita|   LogicalLauncherMain|            10:43:28\n|    2|          autovacuum launcher|          |            Aktivita|        AutoVacuumMain|            10:42:49\n|    3|                    walwriter|          |            Aktivita|         WalWriterMain|            10:28:53\n|    4|                 checkpointer|          |            Aktivita|      CheckpointerMain|            10:23:50\n|    5|            background writer|          |            Aktivita|          BgWriterMain|            09:11:59\n|    6|            background writer|          |            Aktivita|     BgWriterHibernate|            01:37:46\n|    7|              paraleln\u00ed pracovn\u00edk|      tdb1|                  IO|          BufFileWrite|            00:02:35\n|    8|              paraleln\u00ed pracovn\u00edk|      tdb1|              LWLock|        buffer_mapping|            00:01:41\n|    9|              paraleln\u00ed pracovn\u00edk|      tdb1|                  IO|          DataFileRead|            00:01:22\n|   10|              paraleln\u00ed pracovn\u00edk|      tdb1|                  IO|           BufFileRead|            00:00:59\n|   11|                    walwriter|          |                  IO|              WALWrite|            00:00:57\n|   12|              paraleln\u00ed pracovn\u00edk|      tdb1|              LWLock|             buffer_io|            00:00:47\n|   13|            autovacuum pracovn\u00edk|      tdb1|              LWLock|        buffer_mapping|            00:00:13\n|   14|            background writer|          |                  IO|         DataFileWrite|            00:00:12\n|   15|                 checkpointer|          |                  IO|         DataFileWrite|            00:00:11\n|   16|                    walwriter|          |              LWLock|          WALWriteLock|            00:00:09\n|   17|                 checkpointer|          |              LWLock|          WALWriteLock|            00:00:06\n|   18|            background writer|          |              LWLock|          WALWriteLock|            00:00:06\n|   19|                    walwriter|          |                  IO|          WALInitWrite|            00:00:02\n|   20|            autovacuum pracovn\u00edk|      tdb1|              LWLock|          WALWriteLock|            00:00:02\n|   21|                    walwriter|          |                  IO|           WALInitSync|            00:00:02\n|   22|            autovacuum pracovn\u00edk|      tdb1|                  IO|          DataFileRead|            00:00:01\n|   23|                 checkpointer|          |                  IO| ControlFileSyncUpdate|            00:00:01\n|   24|            background writer|          |                  IO|              WALWrite|            00:00:01\n|   25|            background writer|          |                  IO|         DataFileFlush|            00:00:01\n|   26|                 checkpointer|          |                  IO|         SLRUFlushSync|            00:00:01\n|   27|            autovacuum pracovn\u00edk|      tdb1|                  IO|              WALWrite|            00:00:01\n|   28|                 checkpointer|          |                  IO|          DataFileSync|            00:00:01\n+-----+-----------------------------+----------+--------------------+----------------------+--------------------<\/pre>\n<p><\/p>\n<h3>\u010cEK\u00c1N\u00cd NA SQL \u2014 \u010dek\u00e1n\u00ed na jednotliv\u00e9 dotazy podle queryid<\/h3>\n<p>\n<b class=\"spoiler_title\">Dotaz<\/b><\/p>\n<pre><code class=\"pgsql\">VYBERTE \nqueryid, datname, wait_event_type, wait_event, get_query_waiting_duration(queryid, wait_event_type, wait_event, pg_stat_history_begin + (current_hour_diff * interval '1 hour'), pg_stat_history_end + (current_hour_diff * interval '1 hour')) AS duration \nZ \n  activity_hist.archive_pg_stat_activity aa\nKDE \n  timepoint MEZI pg_stat_history_begin + (current_hour_diff * interval '1 hour') A pg_stat_history_end + (current_hour_diff * interval '1 hour') A backend_type = 'client backend' A wait_event_type NEN\u00cd NULL A queryid NEN\u00cd NULL \nSKUPINA PODLE queryid, datname, wait_event_type, wait_event\nPO\u0158AD\u00cd 1, 5 DESC <\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">P\u0159\u00edklad<\/b><\/p>\n<pre>+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------\n|    #|                  queryid|    dbname|     wait_event_type|          wait_event|            waitings|               total\n|     |                         |          |                    |                    |            duration|            duration\n+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------\n|    1|     -8247416849404883188|      tdb1|              Klient|          ClientRead|            00:00:02|\n|    2|     -6572922443698419129|      tdb1|              Klient|          ClientRead|            00:00:05|\n|    3|     -6572922443698419129|      tdb1|                  IO|        DataFileRead|            00:00:01|\n|    4|     -5917408132400665328|      tdb1|              Klient|          ClientRead|            00:00:04|\n|    5|     -4091009262735781873|      tdb1|              Klient|          ClientRead|            00:00:03|\n|    6|     -1473395109729441239|      tdb1|              Klient|          ClientRead|            00:00:01|\n|    7|        28942442626229688|      tdb1|                  IO|        BufFileWrite|            00:01:34|            00:46:06\n|    8|        28942442626229688|      tdb1|              LWLock|      buffer_mapping|            00:01:05|            00:46:06\n|    9|        28942442626229688|      tdb1|                  IO|        DataFileRead|            00:00:44|            00:46:06\n|   10|        28942442626229688|      tdb1|                  IO|         BufFileRead|            00:00:37|            00:46:06\n|   11|        28942442626229688|      tdb1|              LWLock|           buffer_io|            00:00:35|            00:46:06\n|   12|        28942442626229688|      tdb1|              Klient|          ClientRead|            00:00:05|            00:46:06\n|   13|        28942442626229688|      tdb1|                 IPC| MessageQueueReceive|            00:00:03|            00:46:06\n|   14|        28942442626229688|      tdb1|                 IPC|    BgWorkerShutdown|            00:00:01|            00:46:06\n|   15|       389015618226997618|      tdb1|                Lock|       transactionid|            03:55:09|            04:14:15\n|   16|       389015618226997618|      tdb1|                  IO|        DataFileRead|            03:23:09|            04:14:15\n|   17|       389015618226997618|      tdb1|              LWLock|      buffer_mapping|            00:12:09|            04:14:15\n|   18|       389015618226997618|      tdb1|              LWLock|           buffer_io|            00:10:18|            04:14:15\n|   19|       389015618226997618|      tdb1|                Lock|               tuple|            00:00:35|            04:14:15\n|   20|       389015618226997618|      tdb1|              LWLock|        WALWriteLock|            00:00:02|            04:14:15\n|   21|       389015618226997618|      tdb1|                  IO|       DataFileWrite|            00:00:01|            04:14:15\n|   22|       389015618226997618|      tdb1|              LWLock|        SyncScanLock|            00:00:01|            04:14:15\n|   23|       389015618226997618|      tdb1|              Klient|          ClientRead|            00:00:01|            04:14:15\n|   24|       734234407411547467|      tdb1|              Klient|          ClientRead|            00:00:11|\n|   25|       734234407411547467|      tdb1|              LWLock|      buffer_mapping|            00:00:05|\n|   26|       734234407411547467|      tdb1|                  IO|        DataFileRead|            00:00:02|\n|   27|      1237430309438971376|      tdb1|              LWLock|      buffer_mapping|            00:02:18|            02:45:40\n|   28|      1237430309438971376|      tdb1|                  IO|        DataFileRead|            00:00:27|            02:45:40\n|   29|      1237430309438971376|      tdb1|              Klient|          ClientRead|            00:00:02|            02:45:40\n|   30|      2404820632950544954|      tdb1|              Klient|          ClientRead|            00:00:01|\n|   31|      2515308626622579467|      tdb1|              Klient|          ClientRead|            00:00:02|\n|   32|      4710212362688288619|      tdb1|              LWLock|      buffer_mapping|            00:03:08|            02:18:21\n|   33|      4710212362688288619|      tdb1|                  IO|        DataFileRead|            00:00:22|            02:18:21\n|   34|      4710212362688288619|      tdb1|              Klient|          ClientRead|            00:00:06|            02:18:21\n|   35|      4710212362688288619|      tdb1|              LWLock|           buffer_io|            00:00:02|            02:18:21\n|   36|      9150846928388977274|      tdb1|                  IO|        DataFileRead|            00:01:19|\n|   37|      9150846928388977274|      tdb1|              LWLock|      buffer_mapping|            00:00:34|\n|   38|      9150846928388977274|      tdb1|              Klient|          ClientRead|            00:00:10|\n|   39|      9150846928388977274|      tdb1|              LWLock|           buffer_io|            00:00:01|\n+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------<\/pre>\n<p><\/p>\n<h3>KLIENTSK\u00c9 SQL STATISTIKY \u2014 NEJLEP\u0160\u00cd DOTAZY<\/h3>\n<p>\nDotazy pro z\u00edsk\u00e1n\u00ed jsou op\u011bt celkem trivi\u00e1ln\u00ed a pro \u00fasporu m\u00edsta nejsou uvedeny. <\/p>\n<p><b class=\"spoiler_title\">P\u0159\u00edklady<\/b><\/p>\n<pre>+------------------------------------------------------------------------------------\n| SQL klienta se\u0159azeno podle \u010dasu trv\u00e1n\u00ed\n+--------------------+----------+----------+----------+----------+----------+--------------------\n|        \u010das trv\u00e1n\u00ed|     vol\u00e1n\u00ed|  % dbtime|     % CPU|      % IO|    dbname|             queryid\n+--------------------+----------+----------+----------+----------+----------+--------------------\n|            04:14:15|        19|       3.1|     10.83|     11.52|      tdb1|  389015618226997618\n|            02:45:40|       746|      2.02|      4.23|      0.08|      tdb1| 1237430309438971376\n|            02:18:21|       749|      1.69|      3.39|       0.1|      tdb1| 4710212362688288619\n|            00:46:06|       375|      0.56|      0.94|      0.41|      tdb1|   28942442626229688\n+--------------------+----------+----------+----------+----------+----------+--------------------\n| SQL klienta se\u0159azeno podle \u010dasu CPU\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|            \u010das CPU|     vol\u00e1n\u00ed|  % dbtime|celkov\u00fd \u010das|     % CPU|      % IO|    dbname|             queryid\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|            02:59:49|        19|       3.1|  04:14:15|     10.83|     11.52|      tdb1|  389015618226997618\n|            01:10:12|       746|      2.02|  02:45:40|      4.23|      0.08|      tdb1| 1237430309438971376\n|            00:56:15|       749|      1.69|  02:18:21|      3.39|       0.1|      tdb1| 4710212362688288619\n|            00:15:35|       375|      0.56|  00:46:06|      0.94|      0.41|      tdb1|   28942442626229688\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n| SQL klienta se\u0159azeno podle doby \u010dek\u00e1n\u00ed na u\u017eivatelsk\u00fd I\/O\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|        \u010das \u010dek\u00e1n\u00ed I\/O|     vol\u00e1n\u00ed|  % dbtime|celkov\u00fd \u010das|     % CPU|      % IO|    dbname|             queryid\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|            03:23:10|        19|       3.1|  04:14:15|     10.83|     11.52|      tdb1|  389015618226997618\n|            00:02:54|       375|      0.56|  00:46:06|      0.94|      0.41|      tdb1|   28942442626229688\n|            00:00:27|       746|      2.02|  02:45:40|      4.23|      0.08|      tdb1| 1237430309438971376\n|            00:00:22|       749|      1.69|  02:18:21|      3.39|       0.1|      tdb1| 4710212362688288619\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n| SQL klienta se\u0159azeno podle \u010dten\u00ed sd\u00edlen\u00fdch buffer\u016f\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|       \u010dten\u00ed buffer\u016f|     vol\u00e1n\u00ed|  % dbtime|celkov\u00fd \u010das|     % CPU|      % IO|    dbname|             queryid\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|          1056388566|        19|       3.1|  04:14:15|     10.83|     11.52|      tdb1|  389015618226997618\n|            11709251|       375|      0.56|  00:46:06|      0.94|      0.41|      tdb1|   28942442626229688\n|             3439004|       746|      2.02|  02:45:40|      4.23|      0.08|      tdb1| 1237430309438971376\n|             3373330|       749|      1.69|  02:18:21|      3.39|       0.1|      tdb1| 4710212362688288619\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n| SQL klienta se\u0159azeno podle doby \u010dten\u00ed disku\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|           \u010das \u010dten\u00ed|     vol\u00e1n\u00ed|  % dbtime|celkov\u00fd \u010das|     % CPU|      % IO|    dbname|             queryid\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|            02:16:30|        19|       3.1|  04:14:15|     10.83|     11.52|      tdb1|  389015618226997618\n|            00:04:50|       375|      0.56|  00:46:06|      0.94|      0.41|      tdb1|   28942442626229688\n|            00:01:10|       749|      1.69|  02:18:21|      3.39|       0.1|      tdb1| 4710212362688288619\n|            00:00:57|       746|      2.02|  02:45:40|      4.23|      0.08|      tdb1| 1237430309438971376\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n| SQL klienta se\u0159azeno podle proveden\u00ed\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|               vol\u00e1n\u00ed|      \u0159\u00e1dky|  % dbtime|celkov\u00fd \u010das|     % CPU|      % IO|    dbname|             queryid\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|                 749|       749|      1.69|  02:18:21|      3.39|       0.1|      tdb1| 4710212362688288619\n|                 746|       746|      2.02|  02:45:40|      4.23|      0.08|      tdb1| 1237430309438971376\n|                 375|         0|      0.56|  00:46:06|      0.94|      0.41|      tdb1|   28942442626229688\n|                  19|        19|       3.1|  04:14:15|     10.83|     11.52|      tdb1|  389015618226997618\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------<\/pre>\n<p><\/p>\n<h2>V\u00fdsledek<\/h2>\n<p>\nPomoc\u00ed poskytnut\u00fdch dotaz\u016f a z\u00edsk\u00e1van\u00fdch report\u016f je mo\u017en\u00e9 z\u00edskat komplexn\u011bj\u0161\u00ed obr\u00e1zek pro anal\u00fdzu a \u0159e\u0161en\u00ed probl\u00e9m\u016f s degradac\u00ed v\u00fdkonu jak jednotliv\u00fdch dotaz\u016f, tak cel\u00e9ho clusteru.<\/p>\n<h2>Rozvoj<\/h2>\n<p>\nPl\u00e1ny na rozvoj jsou n\u00e1sleduj\u00edc\u00ed:<\/p>\n<ul>\n<li>Doplnit report o historii z\u00e1mk\u016f. Dotazy jsou testov\u00e1ny a budou prezentov\u00e1ny v nejbli\u017e\u0161\u00ed dob\u011b.<\/li>\n<li>Pou\u017e\u00edt roz\u0161\u00ed\u0159en\u00ed TimescaleDB pro ukl\u00e1d\u00e1n\u00ed historie pg_stat_activity a pg_locks.<\/li>\n<li>P\u0159ipravit bal\u00ed\u010dkov\u00e9 \u0159e\u0161en\u00ed na github pro masov\u00e9 nasazen\u00ed na produk\u010dn\u00edch datab\u00e1z\u00edch.<\/li>\n<\/ul>\n<p>\nPokra\u010dov\u00e1n\u00ed p\u0159\u00ed\u0161t\u011b\u2026<br \/>\n<br \/>Zdroj: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467575\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u0435 \u0441\u0442\u0430\u0442\u044c\u0438 &#171;\u041f\u043e\u043f\u044b\u0442\u043a\u0430 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0430\u043d\u0430\u043b\u043e\u0433 ASH \u0434\u043b\u044f PostgreSQL &#171;. \u0412 \u0441\u0442\u0430\u0442\u044c\u0435 \u0431\u0443\u0434\u0435\u0442 \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0435\u043d\u043e \u0438 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e \u043d\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u0430\u0445 \u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u2014 \u043a\u0430\u043a\u0443\u044e \u0436\u0435 \u043f\u043e\u043b\u0435\u0437\u043d\u0443\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0438\u0441\u0442\u043e\u0440\u0438\u0438 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u044f pg_stat_activity. \u041f\u0440\u0435\u0434\u0443\u043f\u0440\u0435\u0436\u0434\u0435\u043d\u0438\u0435. \u0412 \u0441\u0432\u044f\u0437\u0438 \u0441 \u043d\u043e\u0432\u0438\u0437\u043d\u043e\u0439 \u0442\u0435\u043c\u044b \u0438 \u043d\u0435\u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0438\u0435\u043c \u043f\u0435\u0440\u0438\u043e\u0434\u0430 \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f, \u0441\u0442\u0430\u0442\u044c\u044f \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u043e\u0448\u0438\u0431\u043a\u0438. \u041a\u0440\u0438\u0442\u0438\u043a\u0430 \u0438 \u0437\u0430\u043c\u0435\u0447\u0430\u043d\u0438\u044f \u0432\u0441\u044f\u0447\u0435\u0441\u043a\u0438 \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0442\u0441\u044f \u0438 \u043e\u0436\u0438\u0434\u0430\u044e\u0442\u0441\u044f. \u0412\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-38196","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - 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