{"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\/es\/blog\/administrirovanie\/odin-iz-metodov-polucheniya-profilya-rabochej-nagruzki-i-istorii-ozhidanij-v-postgresql","title":{"rendered":"Uno de los m\u00e9todos para obtener el perfil de carga de trabajo y el historial de esperas en PostgreSQL","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Continuaci\u00f3n del art\u00edculo &#171;<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467181\/\">Intento de crear un an\u00e1logo de ASH para PostgreSQL <\/a><\/noindex>\u00ab.<\/p>\n<p>En este art\u00edculo se examinar\u00e1 y mostrar\u00e1 con consultas y ejemplos espec\u00edficos \u2014 qu\u00e9 informaci\u00f3n \u00fatil se puede obtener a trav\u00e9s de la vista pg_stat_activity.<\/p>\n<blockquote><p>Advertencia.<br \/>\nDebido a la novedad del tema y a que el per\u00edodo de prueba no ha finalizado, el art\u00edculo puede contener errores. Se agradecen y se esperan cr\u00edticas y comentarios.<\/p><\/blockquote>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Datos de entrada<\/h2>\n<p><\/p>\n<h3>Historia de la vista pg_stat_statements<\/h3>\n<p>\n<b class=\"spoiler_title\">pg_stat_history<\/b><\/p>\n<pre><code class=\"pgsql\">CREATE TABLE pg_stat_history ( \nid SERIAL, \nsnapshot_timestamp  timestamp sin zona horaria, \ndatabase_id integer,\ndbid oid,\nuserid oid,\nqueryid bigint,\nquery text,\ncalls bigint, \ntotal_time doble precisi\u00f3n, \nmin_time doble precisi\u00f3n, \nmax_time doble precisi\u00f3n, \nmean_time doble precisi\u00f3n,\nstddev_time doble precisi\u00f3n,\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 doble precisi\u00f3n, \nblk_write_time doble precisi\u00f3n, \nbaseline_id integer );<\/code><\/pre>\n<p>\n La tabla se llena cada hora utilizando dblink a la base de datos de destino. La columna m\u00e1s interesante y \u00fatil en la tabla, por supuesto <b>queryid<\/b>.<\/p>\n<h3>Historia de la vista pg_stat_activity<\/h3>\n<p>\n<b class=\"spoiler_title\">archive_pg_stat_activity<\/b><\/p>\n<pre><code class=\"pgsql\">CREATE TABLE archive_pg_stat_activity\n(\n  timepoint timestamp sin zona horaria,\n  datid             oid, \n  datname           nombre,\n  pid               integer,\n  usesysid          oid,\n  usename           nombre,\n  application_name  text,\n  client_addr       inet,\n  client_hostname   text,\n  client_port       integer,\n  backend_start     timestamp sin zona horaria,\n  xact_start        timestamp sin zona horaria,\n  query_start       timestamp sin zona horaria,\n  state_change      timestamp sin zona horaria,\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>\nLa tabla es una tabla de historial_pg_stat_activity segmentada por horas (m\u00e1s detalles aqu\u00ed \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467277\/\">pg_stat_statements + pg_stat_activity + loq_query = pg_ash? <\/a><\/noindex> y aqu\u00ed \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467181\/\">Intento de crear un an\u00e1logo de ASH para PostgreSQL.)<\/a><\/noindex><\/p>\n<h2>Datos de salida<\/h2>\n<p><\/p>\n<h3>TIEMPO DE CPU CLUSTER (SISTEMA + CLIENTES)<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">CON \n t COMO\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\taa.state = 'active'\n )\n SELECT count(*) \n INTO cpu_total\n FROM t ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre><code class=\"plaintext\">TIEMPO DE CPU CLUSTER (SISTEMA + CLIENTES) : 28:37:46<\/code><\/pre>\n<p><\/p>\n<h3>TIEMPO DE ESPERAS CLUSTER<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">CON \n t COMO\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'\n )\n SELECT count(*) \n INTO cpu_total\n FROM t ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre><code class=\"plaintext\">TIEMPO DE ESPERAS CLUSTER : 30:12:49<\/code><\/pre>\n<p><\/p>\n<h3>Valores totales de pg_stat_statements<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/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 tiempo total de ejecuci\u00f3n de consultas<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">dbtime_total = intervalo '1 milisegundo' * pg_total_stat_history_rec.total_time ;<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre><code class=\"plaintext\">SQL DBTIME : 136:49:36<\/code><\/pre>\n<p><\/p>\n<h3>SQL CPU TIME \u2014 tiempo de CPU gastado en la ejecuci\u00f3n de consultas<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">CON \n t COMO\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 * intervalo '1 hora') AND pg_stat_history_end+(current_hour_diff * intervalo '1 hora')  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\">Ejemplo<\/b><\/p>\n<pre><code class=\"plaintext\">SQL CPU TIME : 27:40:15<\/code><\/pre>\n<p><\/p>\n<h3>SQL WAITINGS TIME \u2014 tiempo total de espera para consultas<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">CON \n t COMO\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 * intervalo '1 hora') AND pg_stat_history_end+(current_hour_diff * intervalo '1 hora')  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\">Ejemplo<\/b><\/p>\n<pre><code class=\"plaintext\">SQL WAITINGS TIME : 30:04:09<\/code><\/pre>\n<p>\nLas siguientes consultas son triviales y por econom\u00eda de espacio, se omiten los detalles de implementaci\u00f3n:<\/p>\n<p><b class=\"spoiler_title\">Ejemplo<\/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>\nPasamos a la secci\u00f3n m\u00e1s interesante<\/p>\n<h2>ESTAD\u00cdSTICAS DE ESPERAS<\/h2>\n<p><\/p>\n<h3>TOP 10 ESPERAS POR TIEMPO TOTAL DE ESPERA PARA PROCESOS DE CLIENTES<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/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 * intervalo '1 hora') ,pg_stat_history_end+(current_hour_diff * intervalo '1 hora') ) como duraci\u00f3n \nFROM\n  activity_hist.archive_pg_stat_activity aa\nWHERE \n  timepoint BETWEEN pg_stat_history_begin+(current_hour_diff * intervalo '1 hora') AND pg_stat_history_end+(current_hour_diff * intervalo '1 hora') 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\">Ejemplo<\/b><\/p>\n<pre>+------------------------------------------------------------------------------------\n| TOP 10 ESPERAS POR TIEMPO TOTAL DE ESPERA PARA PROCESOS DEL SISTEMA\n+-----+------------------------------+--------------------+--------------------\n|    #|               tipo_evento_espera|          evento_espera|            duraci\u00f3n\n+-----+------------------------------+--------------------+--------------------\n|    1|                      Actividad| LogicalLauncherMain|            10:43:28\n|    2|                      Actividad|      AutoVacuumMain|            10:42:49\n|    3|                      Actividad|       WalWriterMain|            10:28:53\n|    4|                      Actividad|    CheckpointerMain|            10:23:50\n|    5|                      Actividad|        BgWriterMain|            09:11:59\n|    6|                      Actividad|   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 ESPERAS POR TIEMPO TOTAL DE ESPERA PARA PROCESOS DE CLIENTES<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">SELECCIONAR \n  tipo_evento_espera , evento_espera ,\n  get_clients_waiting_duration( tipo_evento_espera , evento_espera , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) como duraci\u00f3n\nDE \n  activity_hist.archive_pg_stat_activity aa\nDONDE \n  timepoint ENTRE pg_stat_history_begin+(current_hour_diff * interval '1 hour') Y pg_stat_history_end+(current_hour_diff * interval '1 hour') Y backend_type = 'client backend' Y tipo_evento_espera NO ES NULO \nAGRUPAR POR tipo_evento_espera, evento_espera\nORDENAR POR 3 DESC\nLIMITE 10<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre>+-----+------------------------------+--------------------+--------------------+----------\n|    #|               tipo_evento_espera|          evento_espera|            duraci\u00f3n|  % tiempo_db\n+-----+------------------------------+--------------------+--------------------+----------\n|    1|                          Bloqueo|       transactionid|            08:16:47|      6.05\n|    2|                            IO|        DataFileRead|            06:13:41|      4.55\n|    3|                       Tiempo de espera|             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|                          Bloqueo|               tuple|            00:01:32|      0.02\n|    8|                        Cliente|          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>TIPOS DE ESPERA POR TIEMPO TOTAL DE ESPERA, PARA PROCESOS DEL SISTEMA<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">SELECCIONAR \n  tipo_evento_espera ,\n  get_system_waiting_type_duration( tipo_evento_espera , pg_stat_history_begin+(current_hour_diff * interval '1 hour') , pg_stat_history_end+(current_hour_diff * interval '1 hour') ) como duraci\u00f3n\nDE\n  activity_hist.archive_pg_stat_activity aa\nDONDE \n  timepoint ENTRE pg_stat_history_begin+(current_hour_diff * interval '1 hour') Y pg_stat_history_end+(current_hour_diff * interval '1 hour') Y  backend_type != 'client backend' Y tipo_evento_espera NO ES NULO \nAGRUPAR POR tipo_evento_espera\nORDENAR POR 2 DESC<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre>+-----+------------------------------+--------------------\n|    #|               tipo_evento_espera|            duraci\u00f3n\n+-----+------------------------------+--------------------\n|    1|                      Actividad|            53:08:45\n|    2|                            IO|            00:06:24\n|    3|                        LWLock|            00:03:02\n+-----+------------------------------+--------------------\n<\/pre>\n<p><\/p>\n<h3> TIPOS DE ESPERA POR TIEMPO TOTAL DE ESPERA, PARA PROCESOS DE CLIENTES<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">SELECCIONAR \n  tipo_evento_espera ,\n  get_clients_waiting_type_duration( tipo_evento_espera , pg_stat_history_begin+(current_hour_diff * interval '1 hora') , pg_stat_history_end+(current_hour_diff * interval '1 hora') ) como duraci\u00f3n\nDE\n  activity_hist.archive_pg_stat_activity aa\nDONDE \n  timepoint ENTRE pg_stat_history_begin+(current_hour_diff * interval '1 hora') Y pg_stat_history_end+(current_hour_diff * interval '1 hora') Y tipo_backend = 'backend de cliente' Y tipo_evento_espera IS NOT NULL \nAGRUPAR POR tipo_evento_espera\nORDENAR POR 2 DESC<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre>+-----+------------------------------+--------------------+--------------------\n|    #|               tipo_evento_espera|            duraci\u00f3n|            % tiempo_db\n+-----+------------------------------+--------------------+--------------------\n|    1|                          Bloqueo|            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|                        Cliente|            00:01:19|                0.02\n|    6|                           IPC|            00:00:04|                   0\n+-----+------------------------------+--------------------+--------------------\n<\/pre>\n<p>\nDuraciones de espera, para procesos del sistema y consultas individuales.<\/p>\n<h3>ESPERAS PARA PROCESOS DEL SISTEMA<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">SELECCIONAR \n  tipo_backend , datname , tipo_evento_espera , evento_espera , get_backend_type_waiting_duration( tipo_backend , tipo_evento_espera , evento_espera , pg_stat_history_begin+(current_hour_diff * interval '1 hora') , pg_stat_history_end+(current_hour_diff * interval '1 hora') ) como duraci\u00f3n \nDE \n  activity_hist.archive_pg_stat_activity aa\nDONDE \n  timepoint ENTRE pg_stat_history_begin+(current_hour_diff * interval '1 hora') Y pg_stat_history_end+(current_hour_diff * interval '1 hora') Y tipo_backend != 'backend de cliente' Y tipo_evento_espera IS NOT NULL \nAGRUPAR POR tipo_backend , datname , tipo_evento_espera , evento_espera\nORDENAR POR 5 DESC<\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre>+-----+-----------------------------+----------+--------------------+----------------------+--------------------\n|    #|                 backend_type|    dbname|     wait_event_type|            wait_event|            duration\n+-----+-----------------------------+----------+--------------------+----------------------+--------------------\n|    1| lanzador de replicaci\u00f3n l\u00f3gica|          |            Actividad|   LogicalLauncherMain|            10:43:28\n|    2|          lanzador de autovacuum|          |            Actividad|        AutoVacuumMain|            10:42:49\n|    3|                    walwriter|          |            Actividad|         WalWriterMain|            10:28:53\n|    4|                 verificador|          |            Actividad|      CheckpointerMain|            10:23:50\n|    5|            escritor en segundo plano|          |            Actividad|          BgWriterMain|            09:11:59\n|    6|            escritor en segundo plano|          |            Actividad|     BgWriterHibernate|            01:37:46\n|    7|              trabajador paralelo|      tdb1|                  IO|          BufFileWrite|            00:02:35\n|    8|              trabajador paralelo|      tdb1|              LWLock|        buffer_mapping|            00:01:41\n|    9|              trabajador paralelo|      tdb1|                  IO|          DataFileRead|            00:01:22\n|   10|              trabajador paralelo|      tdb1|                  IO|           BufFileRead|            00:00:59\n|   11|                    walwriter|          |                  IO|              WALWrite|            00:00:57\n|   12|              trabajador paralelo|      tdb1|              LWLock|             buffer_io|            00:00:47\n|   13|            trabajador de autovacuum|      tdb1|              LWLock|        buffer_mapping|            00:00:13\n|   14|            escritor en segundo plano|          |                  IO|         DataFileWrite|            00:00:12\n|   15|                 verificador|          |                  IO|         DataFileWrite|            00:00:11\n|   16|                    walwriter|          |              LWLock|          WALWriteLock|            00:00:09\n|   17|                 verificador|          |              LWLock|          WALWriteLock|            00:00:06\n|   18|            escritor en segundo plano|          |              LWLock|          WALWriteLock|            00:00:06\n|   19|                    walwriter|          |                  IO|          WALInitWrite|            00:00:02\n|   20|            trabajador de autovacuum|      tdb1|              LWLock|          WALWriteLock|            00:00:02\n|   21|                    walwriter|          |                  IO|           WALInitSync|            00:00:02\n|   22|            trabajador de autovacuum|      tdb1|                  IO|          DataFileRead|            00:00:01\n|   23|                 verificador|          |                  IO| ControlFileSyncUpdate|            00:00:01\n|   24|            escritor en segundo plano|          |                  IO|              WALWrite|            00:00:01\n|   25|            escritor en segundo plano|          |                  IO|         DataFileFlush|            00:00:01\n|   26|                 verificador|          |                  IO|         SLRUFlushSync|            00:00:01\n|   27|            trabajador de autovacuum|      tdb1|                  IO|              WALWrite|            00:00:01\n|   28|                 verificador|          |                  IO|          DataFileSync|            00:00:01\n+-----+-----------------------------+----------+--------------------+----------------------+--------------------<\/pre>\n<p><\/p>\n<h3>ESPERAS PARA SQL \u2014 esperas para consultas individuales por queryid<\/h3>\n<p>\n<b class=\"spoiler_title\">Consulta<\/b><\/p>\n<pre><code class=\"pgsql\">SELECCIONAR \nqueryid, datname, tipo_evento_espera, evento_espera, obtener_duracion_espera_consulta(queryid, tipo_evento_espera, evento_espera, pg_stat_history_begin + (diferencia_horas_actual * intervalo '1 hora'), pg_stat_history_end + (diferencia_horas_actual * intervalo '1 hora')) como duraci\u00f3n \nDE \n  activity_hist.archive_pg_stat_activity aa\nDONDE \n  timepoint ENTRE pg_stat_history_begin + (diferencia_horas_actual * intervalo '1 hora') Y pg_stat_history_end + (diferencia_horas_actual * intervalo '1 hora') Y tipo_backend = 'backend del cliente' Y tipo_evento_espera NO ES NULO Y queryid NO ES NULO \nAGRUPAR POR queryid, datname, tipo_evento_espera, evento_espera\nORDENAR POR 1, 5 DESC <\/code><\/pre>\n<p>\n<b class=\"spoiler_title\">Ejemplo<\/b><\/p>\n<pre>+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------\n|    #|                  queryid|    dbname|     wait_event_type|          wait_event|            waitings|               total\n|     |                         |          |                    |                    |            duration|            duration\n+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------\n|    1|     -8247416849404883188|      tdb1|              Cliente|          LecturaCliente|            00:00:02|\n|    2|     -6572922443698419129|      tdb1|              Cliente|          LecturaCliente|            00:00:05|\n|    3|     -6572922443698419129|      tdb1|                  IO|        LecturaArchivoDatos|            00:00:01|\n|    4|     -5917408132400665328|      tdb1|              Cliente|          LecturaCliente|            00:00:04|\n|    5|     -4091009262735781873|      tdb1|              Cliente|          LecturaCliente|            00:00:03|\n|    6|     -1473395109729441239|      tdb1|              Cliente|          LecturaCliente|            00:00:01|\n|    7|        28942442626229688|      tdb1|                  IO|        EscrituraBufArchivo|            00:01:34|            00:46:06\n|    8|        28942442626229688|      tdb1|              LWLock|      mapeo_buffer|            00:01:05|            00:46:06\n|    9|        28942442626229688|      tdb1|                  IO|        LecturaArchivoDatos|            00:00:44|            00:46:06\n|   10|        28942442626229688|      tdb1|                  IO|         LecturaBufArchivo|            00:00:37|            00:46:06\n|   11|        28942442626229688|      tdb1|              LWLock|           io_buffer|            00:00:35|            00:46:06\n|   12|        28942442626229688|      tdb1|              Cliente|          LecturaCliente|            00:00:05|            00:46:06\n|   13|        28942442626229688|      tdb1|                 IPC| Recepci\u00f3nColaMensajes|            00:00:03|            00:46:06\n|   14|        28942442626229688|      tdb1|                 IPC|    ApagarBgWorker|            00:00:01|            00:46:06\n|   15|       389015618226997618|      tdb1|                Lock|       idtransacci\u00f3n|            03:55:09|            04:14:15\n|   16|       389015618226997618|      tdb1|                  IO|        LecturaArchivoDatos|            03:23:09|            04:14:15\n|   17|       389015618226997618|      tdb1|              LWLock|      mapeo_buffer|            00:12:09|            04:14:15\n|   18|       389015618226997618|      tdb1|              LWLock|           io_buffer|            00:10:18|            04:14:15\n|   19|       389015618226997618|      tdb1|                Lock|               tupla|            00:00:35|            04:14:15\n|   20|       389015618226997618|      tdb1|              LWLock|        LockEscrituraWAL|            00:00:02|            04:14:15\n|   21|       389015618226997618|      tdb1|                  IO|       EscrituraArchivoDatos|            00:00:01|            04:14:15\n|   22|       389015618226997618|      tdb1|              LWLock|        LockEscaneoSincronizaci\u00f3n|            00:00:01|            04:14:15\n|   23|       389015618226997618|      tdb1|              Cliente|          LecturaCliente|            00:00:01|            04:14:15\n|   24|       734234407411547467|      tdb1|              Cliente|          LecturaCliente|            00:00:11|\n|   25|       734234407411547467|      tdb1|              LWLock|      mapeo_buffer|            00:00:05|\n|   26|       734234407411547467|      tdb1|                  IO|        LecturaArchivoDatos|            00:00:02|\n|   27|      1237430309438971376|      tdb1|              LWLock|      mapeo_buffer|            00:02:18|            02:45:40\n|   28|      1237430309438971376|      tdb1|                  IO|        LecturaArchivoDatos|            00:00:27|            02:45:40\n|   29|      1237430309438971376|      tdb1|              Cliente|          LecturaCliente|            00:00:02|            02:45:40\n|   30|      2404820632950544954|      tdb1|              Cliente|          LecturaCliente|            00:00:01|\n|   31|      2515308626622579467|      tdb1|              Cliente|          LecturaCliente|            00:00:02|\n|   32|      4710212362688288619|      tdb1|              LWLock|      mapeo_buffer|            00:03:08|            02:18:21\n|   33|      4710212362688288619|      tdb1|                  IO|        LecturaArchivoDatos|            00:00:22|            02:18:21\n|   34|      4710212362688288619|      tdb1|              Cliente|          LecturaCliente|            00:00:06|            02:18:21\n|   35|      4710212362688288619|      tdb1|              LWLock|           io_buffer|            00:00:02|            02:18:21\n|   36|      9150846928388977274|      tdb1|                  IO|        LecturaArchivoDatos|            00:01:19|\n|   37|      9150846928388977274|      tdb1|              LWLock|      mapeo_buffer|            00:00:34|\n|   38|      9150846928388977274|      tdb1|              Cliente|          LecturaCliente|            00:00:10|\n|   39|      9150846928388977274|      tdb1|              LWLock|           io_buffer|            00:00:01|\n+-----+-------------------------+----------+--------------------+--------------------+--------------------+--------------------<\/pre>\n<p><\/p>\n<h3>ESTAD\u00cdSTICAS SQL DEL CLIENTE \u2014 CONSULTAS PRINCIPALES<\/h3>\n<p>\nLas consultas para obtener, nuevamente, son triviales y, para ahorrar espacio, no se presentan. <\/p>\n<p><b class=\"spoiler_title\">Ejemplos<\/b><\/p>\n<pre>+------------------------------------------------------------------------------------\n| CLIENT SQL ordenado por Tiempo Transcurrido\n+--------------------+----------+----------+----------+----------+----------+--------------------\n|        tiempo transcurrido|     llamadas|  % dbtime|     % CPU|      % IO|    nombre_basededatos|             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| CLIENT SQL ordenado por Tiempo CPU\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|            tiempo cpu|     llamadas|  % dbtime|tiempo_total|     % CPU|      % IO|    nombre_basededatos|             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| CLIENT SQL ordenado por Tiempo de Espera de Usuario I\/O\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|        tiempo_io_espera|     llamadas|  % dbtime|tiempo_total|     % CPU|      % IO|    nombre_basededatos|             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| CLIENT SQL ordenado por Lecturas de Buffers Compartidos\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|       lecturas_buffers|     llamadas|  % dbtime|tiempo_total|     % CPU|      % IO|    nombre_basededatos|             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| CLIENT SQL ordenado por Tiempo de Lecturas de Disco\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|           tiempo lectura|     llamadas|  % dbtime|tiempo_total|     % CPU|      % IO|    nombre_basededatos|             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| CLIENT SQL ordenado por Ejecuciones\n+--------------------+----------+----------+----------+----------+----------+----------+--------------------\n|               llamadas|      filas|  % dbtime|tiempo_total|     % CPU|      % IO|    nombre_basededatos|             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>Summary<\/h2>\n<p>\nUtilizando las consultas presentadas y los informes obtenidos, se puede obtener una visi\u00f3n m\u00e1s completa para el an\u00e1lisis y la resoluci\u00f3n de problemas de degradaci\u00f3n del rendimiento, tanto de consultas individuales como del cl\u00faster en general.<\/p>\n<h2>Desarrollo<\/h2>\n<p>\nLos planes de desarrollo son los siguientes:<\/p>\n<ul>\n<li>Complementar el informe con el historial de bloqueos. Las consultas est\u00e1n siendo probadas y se presentar\u00e1n en breve.<\/li>\n<li>Utilizar la extensi\u00f3n TimescaleDB para almacenar el historial de pg_stat_activity y pg_locks.<\/li>\n<li>Preparar una soluci\u00f3n por lotes en github para despliegue masivo en bases de datos de producci\u00f3n.<\/li>\n<\/ul>\n<p>\nContinuar\u00e1...<br \/>\n<br \/>Fuente: <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 5.0.2 - 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