主頁 > 資料庫 > PostgreSQL DBA最常用SQL

PostgreSQL DBA最常用SQL

2022-10-18 08:06:12 資料庫

背景

建立視圖, 方便查詢

create schema dba;  

create view dba.invalid_index as select indisvalid, indexrelid::regclass, indrelid::regclass, pg_get_indexdef(indexrelid) from pg_index where not indisvalid;
  
create view dba.ro_conflicts as select datname,pg_stat_get_db_conflict_all(oid) conflict_all,pg_stat_get_db_conflict_bufferpin(oid) conflict_bufferpin,pg_stat_get_db_conflict_lock(oid) conflict_lock,pg_stat_get_db_conflict_snapshot(oid) conflict_snapshot,pg_stat_get_db_conflict_startup_deadlock(oid) conflict_deadlock,pg_stat_get_db_conflict_tablespace(oid) conflict_tbs from pg_database;

create or replace procedure dba.tps() as $$
declare
  v1 int8;
  v2 int8;
begin
  select txid_snapshot_xmax(txid_current_snapshot()) into v1;
  commit;
  perform pg_sleep(1);
  select txid_snapshot_xmax(txid_current_snapshot()) into v2;
  commit;
  raise notice 'tps: %', v2-v1;
end;
$$ language plpgsql ;
  
-- 在主節點查詢
create view dba.ro_delay as select application_name,client_addr,client_port,write_lag,replay_lag,sync_state from pg_stat_replication ;  
  
-- 在standby節點執行, 檢查replay比receive的延遲
create view dba.node_delay as select * from pg_size_pretty(pg_wal_lsn_diff(pg_last_wal_receive_lsn(),pg_last_wal_replay_lsn())) as t(delay);
  
-- 在standby節點執行, 檢查receiver接收wal比上游產生wal的延遲. 
create view dba.ro_delay_on_standby as select pg_size_pretty(pg_wal_lsn_diff(latest_end_lsn , received_lsn)) from pg_stat_wal_receiver;
  
-- 在standby節點執行, 接收wal的速度,
CREATE OR REPLACE PROCEDURE dba.wal_receive_bw()
 LANGUAGE plpgsql
AS $procedure$
declare
  v1 pg_lsn;
  v2 pg_lsn;
begin
  select pg_last_wal_receive_lsn() into v1;
  commit;
  perform pg_sleep(1);
  select pg_last_wal_receive_lsn() into v2;
  commit;
  raise notice 'wal receive bw: %/s', pg_size_pretty(pg_wal_lsn_diff(v2,v1));
end;
$procedure$;

-- 在standby節點執行, replay wal的速度, 
CREATE OR REPLACE PROCEDURE dba.wal_replay_bw()
 LANGUAGE plpgsql
AS $procedure$
declare
  v1 pg_lsn;
  v2 pg_lsn;
begin
  select pg_last_wal_replay_lsn() into v1;
  commit;
  perform pg_sleep(1);
  select pg_last_wal_replay_lsn() into v2;
  commit;
  raise notice 'wal replay bw: %/s', pg_size_pretty(pg_wal_lsn_diff(v2,v1));
end;
$procedure$;  

create view dba.topsql as select calls,total_time,total_time/calls,query from pg_stat_statements where query !~ 'rds' order by total_time desc limit 5;  
  
create view dba.qps as with                                                 
a as (select sum(calls) s from pg_stat_statements),     
b as (select sum(calls) s from pg_stat_statements , pg_sleep(1))     
select     
b.s-a.s          -- QPS    
from a,b;   
  
create view dba.session_acting_cnt as select count(*) from pg_stat_activity where wait_event is not null and (backend_xid is not null or backend_xmin is not null);  
  
create view dba.sessions as select * from pg_stat_activity where wait_event is not null and (backend_xid is not null or backend_xmin is not null);  
  
create view dba.locks as with      
t_wait as      
(      
  select a.mode,a.locktype,a.database,a.relation,a.page,a.tuple,a.classid,a.granted,     
  a.objid,a.objsubid,a.pid,a.virtualtransaction,a.virtualxid,a.transactionid,a.fastpath,      
  b.state,b.query,b.xact_start,b.query_start,b.usename,b.datname,b.client_addr,b.client_port,b.application_name     
    from pg_locks a,pg_stat_activity b where a.pid=b.pid and not a.granted     
),     
t_run as     
(     
  select a.mode,a.locktype,a.database,a.relation,a.page,a.tuple,a.classid,a.granted,     
  a.objid,a.objsubid,a.pid,a.virtualtransaction,a.virtualxid,a.transactionid,a.fastpath,     
  b.state,b.query,b.xact_start,b.query_start,b.usename,b.datname,b.client_addr,b.client_port,b.application_name     
    from pg_locks a,pg_stat_activity b where a.pid=b.pid and a.granted     
),     
t_overlap as     
(     
  select r.* from t_wait w join t_run r on     
  (     
    r.locktype is not distinct from w.locktype and     
    r.database is not distinct from w.database and     
    r.relation is not distinct from w.relation and     
    r.page is not distinct from w.page and     
    r.tuple is not distinct from w.tuple and     
    r.virtualxid is not distinct from w.virtualxid and     
    r.transactionid is not distinct from w.transactionid and     
    r.classid is not distinct from w.classid and     
    r.objid is not distinct from w.objid and     
    r.objsubid is not distinct from w.objsubid and     
    r.pid <> w.pid     
  )      
),      
t_unionall as      
(      
  select r.* from t_overlap r      
  union all      
  select w.* from t_wait w      
)      
select locktype,datname,relation::regclass,page,tuple,virtualxid,transactionid::text,classid::regclass,objid,objsubid,     
string_agg(     
'Pid: '||case when pid is null then 'NULL' else pid::text end||chr(10)||     
'Lock_Granted: '||case when granted is null then 'NULL' else granted::text end||' , Mode: '||case when mode is null then 'NULL' else mode::text end||' , FastPath: '||case when fastpath is null then 'NULL' else fastpath::text end||' , VirtualTransaction: '||case when virtualtransaction is null then 'NULL' else virtualtransaction::text end||' , Session_State: '||case when state is null then 'NULL' else state::text end||chr(10)||     
'Username: '||case when usename is null then 'NULL' else usename::text end||' , Database: '||case when datname is null then 'NULL' else datname::text end||' , Client_Addr: '||case when client_addr is null then 'NULL' else client_addr::text end||' , Client_Port: '||case when client_port is null then 'NULL' else client_port::text end||' , Application_Name: '||case when application_name is null then 'NULL' else application_name::text end||chr(10)||      
'Xact_Start: '||case when xact_start is null then 'NULL' else xact_start::text end||' , Query_Start: '||case when query_start is null then 'NULL' else query_start::text end||' , Xact_Elapse: '||case when (now()-xact_start) is null then 'NULL' else (now()-xact_start)::text end||' , Query_Elapse: '||case when (now()-query_start) is null then 'NULL' else (now()-query_start)::text end||chr(10)||      
'SQL (Current SQL in Transaction): '||chr(10)||    
case when query is null then 'NULL' else query::text end,      
chr(10)||'--------'||chr(10)      
order by      
  (  case mode      
    when 'INVALID' then 0     
    when 'AccessShareLock' then 1     
    when 'RowShareLock' then 2     
    when 'RowExclusiveLock' then 3     
    when 'ShareUpdateExclusiveLock' then 4     
    when 'ShareLock' then 5     
    when 'ShareRowExclusiveLock' then 6     
    when 'ExclusiveLock' then 7     
    when 'AccessExclusiveLock' then 8     
    else 0     
  end  ) desc,     
  (case when granted then 0 else 1 end)    
) as lock_conflict    
from t_unionall     
group by     
locktype,datname,relation,page,tuple,virtualxid,transactionid::text,classid,objid,objsubid ;    
  
create view dba.top10sizetable as   
select schemaname,tablename,pg_size_pretty(pg_relation_size((quote_ident(schemaname)||'.'||quote_ident(tablename))::regclass)) from pg_tables order by pg_relation_size((quote_ident(schemaname)||'.'||quote_ident(tablename))::regclass) desc limit 10;  
  
create view dba.top10sizeindex as   
select schemaname,tablename,indexname,pg_size_pretty(pg_relation_size((quote_ident(schemaname)||'.'||quote_ident(indexname))::regclass)) from pg_indexes order by pg_relation_size((quote_ident(schemaname)||'.'||quote_ident(indexname))::regclass) desc limit 10;  
  
create view dba.top10sizetableindex as   
select schemaname,tablename,pg_size_pretty(pg_total_relation_size((quote_ident(schemaname)||'.'||quote_ident(tablename))::regclass)) from pg_tables order by pg_total_relation_size((quote_ident(schemaname)||'.'||quote_ident(tablename))::regclass) desc limit 10;  
  
create view dba.top10updatetable as  
select schemaname,relname,n_tup_upd,n_tup_del,round(n_tup_hot_upd/(case when n_tup_upd=0 then 1.0 else n_tup_upd::numeric end),4) from pg_stat_all_tables order by n_tup_upd+n_tup_del desc limit 10;  
  
create view dba.top10inserttable as  
select schemaname,relname,n_tup_ins from pg_stat_all_tables order by n_tup_ins desc limit 10;  
  
create view dba.top10deadtable as  
select schemaname,relname,n_dead_tup from pg_stat_all_tables order by n_dead_tup desc limit 10;  
  
create view dba.top10age as  
select relnamespace::regnamespace,relname,pg_size_pretty(pg_relation_size(oid)),age(relfrozenxid) from pg_class where relkind='r' and relnamespace<>'pg_catalog'::regnamespace and relnamespace<>'information_schema'::regnamespace order by age(relfrozenxid) desc,pg_relation_size(oid) desc limit 10;  
  
-- 膨脹點查詢
create view dba.oldestxact as
select datname,usename,xact_start,query_start,backend_xid,backend_xmin,
now()-xact_start as old_ts,
txid_current()-least(backend_xid::text::int8,backend_xmin::text::int8) as old_xacts,
query 
from pg_stat_activity 
where ltrim(lower(query),' ') !~ '^vacuum'
and not (query ~ 'autovacuum' and backend_type <>'client backend')
order by least(backend_xid::text::int8,backend_xmin::text::int8) limit 1;
  
-- 查詢膨脹空間top 10的表  
create view dba.top10bloatsizetable as  
SELECT  
  current_database() AS db, schemaname, tablename, reltuples::bigint AS tups, relpages::bigint AS pages, otta,  
  ROUND(CASE WHEN otta=0 OR sml.relpages=0 OR sml.relpages=otta THEN 0.0 ELSE sml.relpages/otta::numeric END,1) AS tbloat,  
  CASE WHEN relpages < otta THEN 0 ELSE relpages::bigint - otta END AS wastedpages,  
  CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::bigint END AS wastedbytes,  
  CASE WHEN relpages < otta THEN '0 bytes'::text ELSE pg_size_pretty((bs*(relpages-otta))::bigint) END AS wastedsize,  
  iname, ituples::bigint AS itups, ipages::bigint AS ipages, iotta,  
  ROUND(CASE WHEN iotta=0 OR ipages=0 OR ipages=iotta THEN 0.0 ELSE ipages/iotta::numeric END,1) AS ibloat,  
  CASE WHEN ipages < iotta THEN 0 ELSE ipages::bigint - iotta END AS wastedipages,  
  CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END AS wastedibytes,  
  CASE WHEN ipages < iotta THEN '0 bytes' ELSE pg_size_pretty((bs*(ipages-iotta))::bigint) END AS wastedisize,  
  pg_size_pretty(CASE WHEN relpages < otta THEN  
    CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta::bigint) END  
    ELSE CASE WHEN ipages < iotta THEN bs*(relpages-otta::bigint)  
      ELSE bs*(relpages-otta::bigint + ipages-iotta::bigint) END  
  END) AS totalwastedbytes  
FROM (  
  SELECT  
    nn.nspname AS schemaname,  
    cc.relname AS tablename,  
    COALESCE(cc.reltuples,0) AS reltuples,  
    COALESCE(cc.relpages,0) AS relpages,  
    COALESCE(bs,0) AS bs,  
    COALESCE(CEIL((cc.reltuples*((datahdr+ma-  
      (CASE WHEN datahdr%ma=0 THEN ma ELSE datahdr%ma END))+nullhdr2+4))/(bs-20::float)),0) AS otta,  
    COALESCE(c2.relname,'?') AS iname, COALESCE(c2.reltuples,0) AS ituples, COALESCE(c2.relpages,0) AS ipages,  
    COALESCE(CEIL((c2.reltuples*(datahdr-12))/(bs-20::float)),0) AS iotta -- very rough approximation, assumes all cols  
  FROM  
     pg_class cc  
  JOIN pg_namespace nn ON cc.relnamespace = nn.oid AND nn.nspname <> 'information_schema'  
  LEFT JOIN  
  (  
    SELECT  
      ma,bs,foo.nspname,foo.relname,  
      (datawidth+(hdr+ma-(case when hdr%ma=0 THEN ma ELSE hdr%ma END)))::numeric AS datahdr,  
      (maxfracsum*(nullhdr+ma-(case when nullhdr%ma=0 THEN ma ELSE nullhdr%ma END))) AS nullhdr2  
    FROM (  
      SELECT  
        ns.nspname, tbl.relname, hdr, ma, bs,  
        SUM((1-coalesce(null_frac,0))*coalesce(avg_width, 2048)) AS datawidth,  
        MAX(coalesce(null_frac,0)) AS maxfracsum,  
        hdr+(  
          SELECT 1+count(*)/8  
          FROM pg_stats s2  
          WHERE null_frac<>0 AND s2.schemaname = ns.nspname AND s2.tablename = tbl.relname  
        ) AS nullhdr  
      FROM pg_attribute att  
      JOIN pg_class tbl ON att.attrelid = tbl.oid  
      JOIN pg_namespace ns ON ns.oid = tbl.relnamespace  
      LEFT JOIN pg_stats s ON s.schemaname=ns.nspname  
      AND s.tablename = tbl.relname  
      AND s.inherited=false  
      AND s.attname=att.attname,  
      (  
        SELECT  
          (SELECT current_setting('block_size')::numeric) AS bs,  
            CASE WHEN SUBSTRING(SPLIT_PART(v, ' ', 2) FROM '#"[0-9]+.[0-9]+#"%' for '#')  
              IN ('8.0','8.1','8.2') THEN 27 ELSE 23 END AS hdr,  
          CASE WHEN v ~ 'mingw32' OR v ~ '64-bit' THEN 8 ELSE 4 END AS ma  
        FROM (SELECT version() AS v) AS foo  
      ) AS constants  
      WHERE att.attnum > 0 AND tbl.relkind='r'  
      GROUP BY 1,2,3,4,5  
    ) AS foo  
  ) AS rs  
  ON cc.relname = rs.relname AND nn.nspname = rs.nspname  
  LEFT JOIN pg_index i ON indrelid = cc.oid  
  LEFT JOIN pg_class c2 ON c2.oid = i.indexrelid  
) AS sml order by wastedbytes desc limit 5;  
  
-- 查詢膨脹空間top 10的索引  
create view dba.top10bloatsizeindex as  
SELECT  
  current_database() AS db, schemaname, tablename, reltuples::bigint AS tups, relpages::bigint AS pages, otta,  
  ROUND(CASE WHEN otta=0 OR sml.relpages=0 OR sml.relpages=otta THEN 0.0 ELSE sml.relpages/otta::numeric END,1) AS tbloat,  
  CASE WHEN relpages < otta THEN 0 ELSE relpages::bigint - otta END AS wastedpages,  
  CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::bigint END AS wastedbytes,  
  CASE WHEN relpages < otta THEN '0 bytes'::text ELSE pg_size_pretty((bs*(relpages-otta))::bigint) END AS wastedsize,  
  iname, ituples::bigint AS itups, ipages::bigint AS ipages, iotta,  
  ROUND(CASE WHEN iotta=0 OR ipages=0 OR ipages=iotta THEN 0.0 ELSE ipages/iotta::numeric END,1) AS ibloat,  
  CASE WHEN ipages < iotta THEN 0 ELSE ipages::bigint - iotta END AS wastedipages,  
  CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END AS wastedibytes,  
  CASE WHEN ipages < iotta THEN '0 bytes' ELSE pg_size_pretty((bs*(ipages-iotta))::bigint) END AS wastedisize,  
  pg_size_pretty(CASE WHEN relpages < otta THEN  
    CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta::bigint) END  
    ELSE CASE WHEN ipages < iotta THEN bs*(relpages-otta::bigint)  
      ELSE bs*(relpages-otta::bigint + ipages-iotta::bigint) END  
  END) AS totalwastedbytes  
FROM (  
  SELECT  
    nn.nspname AS schemaname,  
    cc.relname AS tablename,  
    COALESCE(cc.reltuples,0) AS reltuples,  
    COALESCE(cc.relpages,0) AS relpages,  
    COALESCE(bs,0) AS bs,  
    COALESCE(CEIL((cc.reltuples*((datahdr+ma-  
      (CASE WHEN datahdr%ma=0 THEN ma ELSE datahdr%ma END))+nullhdr2+4))/(bs-20::float)),0) AS otta,  
    COALESCE(c2.relname,'?') AS iname, COALESCE(c2.reltuples,0) AS ituples, COALESCE(c2.relpages,0) AS ipages,  
    COALESCE(CEIL((c2.reltuples*(datahdr-12))/(bs-20::float)),0) AS iotta -- very rough approximation, assumes all cols  
  FROM  
     pg_class cc  
  JOIN pg_namespace nn ON cc.relnamespace = nn.oid AND nn.nspname <> 'information_schema'  
  LEFT JOIN  
  (  
    SELECT  
      ma,bs,foo.nspname,foo.relname,  
      (datawidth+(hdr+ma-(case when hdr%ma=0 THEN ma ELSE hdr%ma END)))::numeric AS datahdr,  
      (maxfracsum*(nullhdr+ma-(case when nullhdr%ma=0 THEN ma ELSE nullhdr%ma END))) AS nullhdr2  
    FROM (  
      SELECT  
        ns.nspname, tbl.relname, hdr, ma, bs,  
        SUM((1-coalesce(null_frac,0))*coalesce(avg_width, 2048)) AS datawidth,  
        MAX(coalesce(null_frac,0)) AS maxfracsum,  
        hdr+(  
          SELECT 1+count(*)/8  
          FROM pg_stats s2  
          WHERE null_frac<>0 AND s2.schemaname = ns.nspname AND s2.tablename = tbl.relname  
        ) AS nullhdr  
      FROM pg_attribute att  
      JOIN pg_class tbl ON att.attrelid = tbl.oid  
      JOIN pg_namespace ns ON ns.oid = tbl.relnamespace  
      LEFT JOIN pg_stats s ON s.schemaname=ns.nspname  
      AND s.tablename = tbl.relname  
      AND s.inherited=false  
      AND s.attname=att.attname,  
      (  
        SELECT  
          (SELECT current_setting('block_size')::numeric) AS bs,  
            CASE WHEN SUBSTRING(SPLIT_PART(v, ' ', 2) FROM '#"[0-9]+.[0-9]+#"%' for '#')  
              IN ('8.0','8.1','8.2') THEN 27 ELSE 23 END AS hdr,  
          CASE WHEN v ~ 'mingw32' OR v ~ '64-bit' THEN 8 ELSE 4 END AS ma  
        FROM (SELECT version() AS v) AS foo  
      ) AS constants  
      WHERE att.attnum > 0 AND tbl.relkind='r'  
      GROUP BY 1,2,3,4,5  
    ) AS foo  
  ) AS rs  
  ON cc.relname = rs.relname AND nn.nspname = rs.nspname  
  LEFT JOIN pg_index i ON indrelid = cc.oid  
  LEFT JOIN pg_class c2 ON c2.oid = i.indexrelid  
) AS sml order by wastedibytes desc limit 5;  
  
-- 查詢膨脹比例top 10的表(浪費空間大于10MB的表)  
create view dba.top10bloatratiotable as  
SELECT  
  current_database() AS db, schemaname, tablename, reltuples::bigint AS tups, relpages::bigint AS pages, otta,  
  ROUND(CASE WHEN otta=0 OR sml.relpages=0 OR sml.relpages=otta THEN 0.0 ELSE sml.relpages/otta::numeric END,1) AS tbloat,  
  CASE WHEN relpages < otta THEN 0 ELSE relpages::bigint - otta END AS wastedpages,  
  CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::bigint END AS wastedbytes,  
  CASE WHEN relpages < otta THEN '0 bytes'::text ELSE pg_size_pretty((bs*(relpages-otta))::bigint) END AS wastedsize,  
  iname, ituples::bigint AS itups, ipages::bigint AS ipages, iotta,  
  ROUND(CASE WHEN iotta=0 OR ipages=0 OR ipages=iotta THEN 0.0 ELSE ipages/iotta::numeric END,1) AS ibloat,  
  CASE WHEN ipages < iotta THEN 0 ELSE ipages::bigint - iotta END AS wastedipages,  
  CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END AS wastedibytes,  
  CASE WHEN ipages < iotta THEN '0 bytes' ELSE pg_size_pretty((bs*(ipages-iotta))::bigint) END AS wastedisize,  
  pg_size_pretty(CASE WHEN relpages < otta THEN  
    CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta::bigint) END  
    ELSE CASE WHEN ipages < iotta THEN bs*(relpages-otta::bigint)  
      ELSE bs*(relpages-otta::bigint + ipages-iotta::bigint) END  
  END) AS totalwastedbytes  
FROM (  
  SELECT  
    nn.nspname AS schemaname,  
    cc.relname AS tablename,  
    COALESCE(cc.reltuples,0) AS reltuples,  
    COALESCE(cc.relpages,0) AS relpages,  
    COALESCE(bs,0) AS bs,  
    COALESCE(CEIL((cc.reltuples*((datahdr+ma-  
      (CASE WHEN datahdr%ma=0 THEN ma ELSE datahdr%ma END))+nullhdr2+4))/(bs-20::float)),0) AS otta,  
    COALESCE(c2.relname,'?') AS iname, COALESCE(c2.reltuples,0) AS ituples, COALESCE(c2.relpages,0) AS ipages,  
    COALESCE(CEIL((c2.reltuples*(datahdr-12))/(bs-20::float)),0) AS iotta -- very rough approximation, assumes all cols  
  FROM  
     pg_class cc  
  JOIN pg_namespace nn ON cc.relnamespace = nn.oid AND nn.nspname <> 'information_schema'  
  LEFT JOIN  
  (  
    SELECT  
      ma,bs,foo.nspname,foo.relname,  
      (datawidth+(hdr+ma-(case when hdr%ma=0 THEN ma ELSE hdr%ma END)))::numeric AS datahdr,  
      (maxfracsum*(nullhdr+ma-(case when nullhdr%ma=0 THEN ma ELSE nullhdr%ma END))) AS nullhdr2  
    FROM (  
      SELECT  
        ns.nspname, tbl.relname, hdr, ma, bs,  
        SUM((1-coalesce(null_frac,0))*coalesce(avg_width, 2048)) AS datawidth,  
        MAX(coalesce(null_frac,0)) AS maxfracsum,  
        hdr+(  
          SELECT 1+count(*)/8  
          FROM pg_stats s2  
          WHERE null_frac<>0 AND s2.schemaname = ns.nspname AND s2.tablename = tbl.relname  
        ) AS nullhdr  
      FROM pg_attribute att  
      JOIN pg_class tbl ON att.attrelid = tbl.oid  
      JOIN pg_namespace ns ON ns.oid = tbl.relnamespace  
      LEFT JOIN pg_stats s ON s.schemaname=ns.nspname  
      AND s.tablename = tbl.relname  
      AND s.inherited=false  
      AND s.attname=att.attname,  
      (  
        SELECT  
          (SELECT current_setting('block_size')::numeric) AS bs,  
            CASE WHEN SUBSTRING(SPLIT_PART(v, ' ', 2) FROM '#"[0-9]+.[0-9]+#"%' for '#')  
              IN ('8.0','8.1','8.2') THEN 27 ELSE 23 END AS hdr,  
          CASE WHEN v ~ 'mingw32' OR v ~ '64-bit' THEN 8 ELSE 4 END AS ma  
        FROM (SELECT version() AS v) AS foo  
      ) AS constants  
      WHERE att.attnum > 0 AND tbl.relkind='r'  
      GROUP BY 1,2,3,4,5  
    ) AS foo  
  ) AS rs  
  ON cc.relname = rs.relname AND nn.nspname = rs.nspname  
  LEFT JOIN pg_index i ON indrelid = cc.oid  
  LEFT JOIN pg_class c2 ON c2.oid = i.indexrelid  
) AS sml   
where (CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::bigint END) >= 10240000  
order by tbloat desc,wastedbytes desc limit 5;  
  
-- 查詢膨脹比例top 10的索引(浪費空間大于10MB的索引)  
create view dba.top10bloatratioindex as  
SELECT  
  current_database() AS db, schemaname, tablename, reltuples::bigint AS tups, relpages::bigint AS pages, otta,  
  ROUND(CASE WHEN otta=0 OR sml.relpages=0 OR sml.relpages=otta THEN 0.0 ELSE sml.relpages/otta::numeric END,1) AS tbloat,  
  CASE WHEN relpages < otta THEN 0 ELSE relpages::bigint - otta END AS wastedpages,  
  CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::bigint END AS wastedbytes,  
  CASE WHEN relpages < otta THEN '0 bytes'::text ELSE pg_size_pretty((bs*(relpages-otta))::bigint) END AS wastedsize,  
  iname, ituples::bigint AS itups, ipages::bigint AS ipages, iotta,  
  ROUND(CASE WHEN iotta=0 OR ipages=0 OR ipages=iotta THEN 0.0 ELSE ipages/iotta::numeric END,1) AS ibloat,  
  CASE WHEN ipages < iotta THEN 0 ELSE ipages::bigint - iotta END AS wastedipages,  
  CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END AS wastedibytes,  
  CASE WHEN ipages < iotta THEN '0 bytes' ELSE pg_size_pretty((bs*(ipages-iotta))::bigint) END AS wastedisize,  
  pg_size_pretty(CASE WHEN relpages < otta THEN  
    CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta::bigint) END  
    ELSE CASE WHEN ipages < iotta THEN bs*(relpages-otta::bigint)  
      ELSE bs*(relpages-otta::bigint + ipages-iotta::bigint) END  
  END) AS totalwastedbytes  
FROM (  
  SELECT  
    nn.nspname AS schemaname,  
    cc.relname AS tablename,  
    COALESCE(cc.reltuples,0) AS reltuples,  
    COALESCE(cc.relpages,0) AS relpages,  
    COALESCE(bs,0) AS bs,  
    COALESCE(CEIL((cc.reltuples*((datahdr+ma-  
      (CASE WHEN datahdr%ma=0 THEN ma ELSE datahdr%ma END))+nullhdr2+4))/(bs-20::float)),0) AS otta,  
    COALESCE(c2.relname,'?') AS iname, COALESCE(c2.reltuples,0) AS ituples, COALESCE(c2.relpages,0) AS ipages,  
    COALESCE(CEIL((c2.reltuples*(datahdr-12))/(bs-20::float)),0) AS iotta -- very rough approximation, assumes all cols  
  FROM  
     pg_class cc  
  JOIN pg_namespace nn ON cc.relnamespace = nn.oid AND nn.nspname <> 'information_schema'  
  LEFT JOIN  
  (  
    SELECT  
      ma,bs,foo.nspname,foo.relname,  
      (datawidth+(hdr+ma-(case when hdr%ma=0 THEN ma ELSE hdr%ma END)))::numeric AS datahdr,  
      (maxfracsum*(nullhdr+ma-(case when nullhdr%ma=0 THEN ma ELSE nullhdr%ma END))) AS nullhdr2  
    FROM (  
      SELECT  
        ns.nspname, tbl.relname, hdr, ma, bs,  
        SUM((1-coalesce(null_frac,0))*coalesce(avg_width, 2048)) AS datawidth,  
        MAX(coalesce(null_frac,0)) AS maxfracsum,  
        hdr+(  
          SELECT 1+count(*)/8  
          FROM pg_stats s2  
          WHERE null_frac<>0 AND s2.schemaname = ns.nspname AND s2.tablename = tbl.relname  
        ) AS nullhdr  
      FROM pg_attribute att  
      JOIN pg_class tbl ON att.attrelid = tbl.oid  
      JOIN pg_namespace ns ON ns.oid = tbl.relnamespace  
      LEFT JOIN pg_stats s ON s.schemaname=ns.nspname  
      AND s.tablename = tbl.relname  
      AND s.inherited=false  
      AND s.attname=att.attname,  
      (  
        SELECT  
          (SELECT current_setting('block_size')::numeric) AS bs,  
            CASE WHEN SUBSTRING(SPLIT_PART(v, ' ', 2) FROM '#"[0-9]+.[0-9]+#"%' for '#')  
              IN ('8.0','8.1','8.2') THEN 27 ELSE 23 END AS hdr,  
          CASE WHEN v ~ 'mingw32' OR v ~ '64-bit' THEN 8 ELSE 4 END AS ma  
        FROM (SELECT version() AS v) AS foo  
      ) AS constants  
      WHERE att.attnum > 0 AND tbl.relkind='r'  
      GROUP BY 1,2,3,4,5  
    ) AS foo  
  ) AS rs  
  ON cc.relname = rs.relname AND nn.nspname = rs.nspname  
  LEFT JOIN pg_index i ON indrelid = cc.oid  
  LEFT JOIN pg_class c2 ON c2.oid = i.indexrelid  
) AS sml   
where (CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END) >= 10240000  
order by ibloat desc,wastedibytes desc limit 5;  
  
create view dba.seqs as select max_value-last_value,* from pg_sequences order by max_value-last_value ;  

-- 查詢沒有使用過的大于1MB的索引 top 10 (注意, PK、UK如果只是用于約束, 可能不會被統計計數,但是不能刪掉)    
create view dba.top10notusedidx as     
select pg_size_pretty(pg_relation_size(indexrelid)),* from pg_stat_all_indexes where pg_relation_size(indexrelid)>=1024000 and (idx_scan=0 or idx_tup_read=0 or idx_tup_fetch=0)    
and schemaname not in ('pg_toast','pg_catalog') order by pg_relation_size(indexrelid) desc limit 10;    
    
-- 查詢沒有使用過的大于1MB的表 top 10     
create view dba.top10notusedtab as     
select pg_size_pretty(pg_relation_size(relid)),* from pg_stat_all_tables     
where pg_relation_size(relid)>=1024000 and seq_scan=0 and idx_scan=0 and schemaname not in ('pg_toast','pg_catalog','information_schema') order by pg_relation_size(relid) desc limit 10;    
    
-- 查詢熱表top 10    
create view dba.top10hottab as     
select pg_size_pretty(pg_relation_size(relid)),* from pg_stat_all_tables where schemaname not in ('pg_toast','pg_catalog','information_schema') order by seq_scan+idx_scan desc, pg_relation_size(relid) desc limit 10;      
    
-- 查詢大于1MB的冷表top 10    
create view dba.top10coldtab as     
select pg_size_pretty(pg_relation_size(relid)),* from pg_stat_all_tables where schemaname not in ('pg_toast','pg_catalog','information_schema') and pg_relation_size(relid)>=1024000 order by seq_scan+idx_scan,pg_relation_size(relid) desc   limit 10;      
    
-- 查詢熱索引top 10    
create view dba.top10hotidx as     
select pg_size_pretty(pg_relation_size(indexrelid)),* from pg_stat_all_indexes where     
schemaname not in ('pg_toast','pg_catalog') order by idx_scan+idx_tup_read+idx_tup_fetch desc, pg_relation_size(indexrelid) desc limit 10;    
    
-- 查詢大于1MB的冷索引top 10(注意, PK、UK如果只是用于約束, 可能不會被統計計數,但是不能刪掉)    
create view dba.top10coldidx as     
select pg_size_pretty(pg_relation_size(indexrelid)),* from pg_stat_all_indexes where pg_relation_size(indexrelid)>=1024000     
and schemaname not in ('pg_toast','pg_catalog') order by idx_scan+idx_tup_read+idx_tup_fetch , pg_relation_size(indexrelid) desc limit 10;    
  
-- freeze風暴預測相關的3個視圖
create view dba.v_freeze as    
select     
  e.*,     
  a.*     
from    
(select     
  current_setting('autovacuum_freeze_max_age')::int as v1,            -- 如果表的事務ID年齡大于該值, 即使未開啟autovacuum也會強制觸發FREEZE, 并告警Preventing Transaction ID Wraparound Failures    
  current_setting('autovacuum_multixact_freeze_max_age')::int as v2,  -- 如果表的并行事務ID年齡大于該值, 即使未開啟autovacuum也會強制觸發FREEZE, 并告警Preventing Transaction ID Wraparound Failures    
  current_setting('vacuum_freeze_min_age')::int as v3,                -- 手動或自動垃圾回收時, 如果記錄的事務ID年齡大于該值, 將被FREEZE    
  current_setting('vacuum_multixact_freeze_min_age')::int as v4,      -- 手動或自動垃圾回收時, 如果記錄的并行事務ID年齡大于該值, 將被FREEZE    
  current_setting('vacuum_freeze_table_age')::int as v5,              -- 手動垃圾回收時, 如果表的事務ID年齡大于該值, 將觸發FREEZE. 該引數的上限值為 %95 autovacuum_freeze_max_age    
  current_setting('vacuum_multixact_freeze_table_age')::int as v6,    -- 手動垃圾回收時, 如果表的并行事務ID年齡大于該值, 將觸發FREEZE. 該引數的上限值為 %95 autovacuum_multixact_freeze_max_age    
  current_setting('autovacuum_vacuum_cost_delay') as v7,              -- 自動垃圾回收時, 每輪回收周期后的一個休息時間, 主要防止垃圾回收太耗資源. -1 表示沿用vacuum_cost_delay的設定    
  current_setting('autovacuum_vacuum_cost_limit') as v8,              -- 自動垃圾回收時, 每輪回收周期設多大限制, 限制由vacuum_cost_page_hit,vacuum_cost_page_missvacuum_cost_page_dirty引數以及周期內的操作決定. -1 表示沿用vacuum_cost_limit的設定    
  current_setting('vacuum_cost_delay') as v9,                         -- 手動垃圾回收時, 每輪回收周期后的一個休息時間, 主要防止垃圾回收太耗資源.    
  current_setting('vacuum_cost_limit') as v10,                        -- 手動垃圾回收時, 每輪回收周期設多大限制, 限制由vacuum_cost_page_hit,vacuum_cost_page_missvacuum_cost_page_dirty引數以及周期內的操作決定.    
  current_setting('autovacuum') as autovacuum                         -- 是否開啟自動垃圾回收    
) a,     
LATERAL (   -- LATERAL 允許你在這個SUBQUERY中直接參考前面的table, subquery中的column     
select     
pg_size_pretty(pg_total_relation_size(oid)) sz,   -- 表的大小(含TOAST, 索引)    
oid::regclass as reloid,    -- 表名(物化視圖)    
relkind,                    -- r=表, m=物化視圖    
coalesce(    
  least(    
    substring(reloptions::text, 'autovacuum_freeze_max_age=(\d+)')::int,     
    substring(reloptions::text, 'autovacuum_freeze_table_age=(\d+)')::int     
  ),    
  a.v1    
)    
-    
age(case when relfrozenxid::text::int<3 then null else relfrozenxid end)     
as remain_ages_xid,   -- 再產生多少個事務后, 自動垃圾回識訓觸發FREEZE, 起因為事務ID    
coalesce(    
  least(    
    substring(reloptions::text, 'autovacuum_multixact_freeze_max_age=(\d+)')::int,     
    substring(reloptions::text, 'autovacuum_multixact_freeze_table_age=(\d+)')::int     
  ),    
  a.v2    
)    
-    
age(case when relminmxid::text::int<3 then null else relminmxid end)     
as remain_ages_mxid,  -- 再產生多少個事務后, 自動垃圾回識訓觸發FREEZE, 起因為并發事務ID    
coalesce(    
  least(    
    substring(reloptions::text, 'autovacuum_freeze_min_age=(\d+)')::int    
  ),    
  a.v3    
) as xid_lower_to_minage,    -- 如果觸發FREEZE, 該表的事務ID年齡會降到多少    
coalesce(    
  least(    
    substring(reloptions::text, 'autovacuum_multixact_freeze_min_age=(\d+)')::int    
  ),    
  a.v4    
) as mxid_lower_to_minage,   -- 如果觸發FREEZE, 該表的并行事務ID年齡會降到多少    
case     
  when v5 <= age(case when relfrozenxid::text::int<3 then null else relfrozenxid end) then 'YES'    
  else 'NOT'    
end as vacuum_trigger_freeze1,    -- 如果手工執行VACUUM, 是否會觸發FREEZE, 觸發起因(事務ID年齡達到閾值)    
case     
  when v6 <= age(case when relminmxid::text::int<3 then null else relminmxid end) then 'YES'    
  else 'NOT'    
end as vacuum_trigger_freeze2,    -- 如果手工執行VACUUM, 是否會觸發FREEZE, 觸發起因(并行事務ID年齡達到閾值)    
reloptions                        -- 表級引數, 優先. 例如是否開啟自動垃圾回收, autovacuum_freeze_max_age, autovacuum_freeze_table_age, autovacuum_multixact_freeze_max_age, autovacuum_multixact_freeze_table_age    
from pg_class     
  where relkind in ('r','m')    
) e     
order by     
  least(e.remain_ages_xid , e.remain_ages_mxid),  -- 排在越前, 越先觸發自動FREEZE, 即風暴來臨的預測    
  pg_total_relation_size(reloid) desc   -- 同樣剩余年齡, 表越大, 排越前    
;    

create view dba.v_freeze_stat as    
select     
wb,                                                     -- 第幾個BATCH, 每個batch代表流逝100萬個事務     
cnt,                                                    -- 這個batch 有多少表    
pg_size_pretty(ssz) as ssz1,                            -- 這個batch 這些 表+TOAST+索引 有多少容量    
pg_size_pretty(ssz) as ssz2,                            -- 這個batch FREEZE 會導致多少讀IO    
pg_size_pretty(ssz*3) as ssz3,                          -- 這個batch FREEZE 最多可能會導致多少寫IO (通常三份 : 資料檔案, WAL FULL PAGE, WAL)    
pg_size_pretty(min_sz) as ssz4,                         -- 這個batch 最小的表多大    
pg_size_pretty(max_sz) as ssz5,                         -- 這個batch 最大的表多大    
pg_size_pretty(avg_sz) as ssz6,                         -- 這個batch 平均表多大    
pg_size_pretty(stddev_sz) as ssz7,                      -- 這個batch 表大小的方差, 越大, 說明表大小差異化明顯    
min_rest_age,                                           -- 這個batch 距離自動FREEZE最低剩余事務數    
max_rest_age,                                           -- 這個batch 距離自動FREEZE最高剩余事務數    
stddev_rest_age,                                        -- 這個batch 距離自動FREEZE剩余事務數的方差, 越小,說明這個batch觸發freeze將越平緩, 越大, 說明這個batch將有可能在某些點集中觸發freeze (但是可能集中觸發的都是小表)    
corr_rest_age_sz,                                       -- 表大小與距離自動freeze剩余事務數的相關性,相關性越強(值趨向1或-1) stddev_rest_age 與 sz7 說明的問題越有價值    
round(100*(ssz/(sum(ssz) over ())), 2)||' %' as ratio   -- 這個BATCH的容量占比,占比如果非常不均勻,說明有必要調整表級FREEZE引數,讓占比均勻化    
from         
(    
select a.*, b.* from     
(    
select     
  min(least(remain_ages_xid, remain_ages_mxid)) as v_min,   -- 整個資料庫中離自動FREEZE的 最小 剩余事務ID數    
  max(least(remain_ages_xid, remain_ages_mxid)) as v_max    -- 整個資料庫中離自動FREEZE的 最大 剩余事務ID數    
from v_freeze    
) as a,    
LATERAL (  -- 高級SQL    
select     
width_bucket(    
  least(remain_ages_xid, remain_ages_mxid),     
  a.v_min,    
  a.v_max,    
  greatest((a.v_max-a.v_min)/1000000, 1)   -- 100萬個事務, 如果要更改統計例如,修改這個值即可    
) as wb,      
count(*) as cnt,     
sum(pg_total_relation_size(reloid)) as ssz,     
stddev_samp(pg_total_relation_size(reloid) order by least(remain_ages_xid, remain_ages_mxid)) as stddev_sz,     
min(pg_total_relation_size(reloid)) as min_sz,     
max(pg_total_relation_size(reloid)) as max_sz,     
avg(pg_total_relation_size(reloid)) as avg_sz,     
min(least(remain_ages_xid, remain_ages_mxid)) as min_rest_age,     
max(least(remain_ages_xid, remain_ages_mxid)) as max_rest_age,     
stddev_samp(least(remain_ages_xid, remain_ages_mxid) order by least(remain_ages_xid, remain_ages_mxid)) as stddev_rest_age,     
corr(least(remain_ages_xid, remain_ages_mxid), pg_total_relation_size(reloid)) as corr_rest_age_sz     
from v_freeze     
group by wb     
) as b     
) t     
order by wb; 

create view dba.v_freeze_stat_detail as      
select     
pg_size_pretty(t.ssz) as ssz2,     -- 這個batch FREEZE 會導致多少讀IO (表+TOAST+索引)    
pg_size_pretty(t.ssz*3) as ssz3,   -- 這個batch FREEZE 最多可能會導致多少寫IO (通常三份 : 資料檔案, WAL FULL PAGE, WAL)    
pg_size_pretty(t.ssz_sum) as ssz4, -- 所有batch 所有表的總大小  (表+TOAST+索引)    
round(100*(t.ssz/t.ssz_sum), 2)||' %' as ratio_batch,     -- 這個BATCH的容量占比,目標是讓所有BATCH占比盡量一致    
round(100*(pg_total_relation_size(t.reloid)/t.ssz), 2)||' %' as ratio_table,     -- 這個表占整個batch的容量占比,大表盡量錯開freeze    
t.*      
from         
(    
select a.*, b.* from       
(    
  select     
    min(least(remain_ages_xid, remain_ages_mxid)) as v_min,   -- 整個資料庫中離自動FREEZE的 最小 剩余事務ID數    
    max(least(remain_ages_xid, remain_ages_mxid)) as v_max    -- 整個資料庫中離自動FREEZE的 最大 剩余事務ID數    
  from v_freeze     
) as a,     
LATERAL (     -- 高級SQL    
select     
  count(*) over w as cnt,                                                -- 這個batch 有多少表      
  sum(pg_total_relation_size(reloid)) over () as ssz_sum,                -- 所有batch 所有表的總大小  (表+TOAST+索引)    
  sum(pg_total_relation_size(reloid)) over w as ssz,                     -- 這個batch 的表大小總和 (表+TOAST+索引)    
  pg_size_pretty(min(pg_total_relation_size(reloid)) over w) as min_sz,  -- 這個batch 最小的表多大    
  pg_size_pretty(max(pg_total_relation_size(reloid)) over w) as max_sz,  -- 這個batch 最大的表多大    
  pg_size_pretty(avg(pg_total_relation_size(reloid)) over w) as avg_sz,  -- 這個batch 平均表多大    
  pg_size_pretty(stddev_samp(pg_total_relation_size(reloid)) over w) as stddev_sz,  -- 這個batch 表大小的方差, 越大, 說明表大小差異化明顯                                                                                                                 
  min(least(remain_ages_xid, remain_ages_mxid)) over w as min_rest_age,             -- 這個batch 距離自動FREEZE最低剩余事務數                                                                                                                             
  max(least(remain_ages_xid, remain_ages_mxid)) over w as max_rest_age,             -- 這個batch 距離自動FREEZE最高剩余事務數                                                                                                                             
  stddev_samp(least(remain_ages_xid, remain_ages_mxid)) over w as stddev_rest_age,  -- 這個batch 距離自動FREEZE剩余事務數的方差, 越小,說明這個batch觸發freeze將越平緩, 越大, 說明這個batch將有可能在某些點集中觸發freeze (但是可能集中觸發的都是小表)    
  corr(least(remain_ages_xid, remain_ages_mxid), pg_total_relation_size(reloid)) over w as corr_rest_age_sz,  -- 表大小與距離自動freeze剩余事務數的相關性,相關性越強(值趨向1或-1) stddev_rest_age 與 stddev_sz 說明的問題越有價值    
  t1.*     
from     
  (    
  select     
    width_bucket(    
      least(tt.remain_ages_xid, tt.remain_ages_mxid),     
      a.v_min,    
      a.v_max,    
      greatest((a.v_max-a.v_min)/1000000, 1)         -- 100萬個事務, 如果要更改統計例如,修改這個值即可    
    )     
    as wb,                                           -- 第幾個BATCH, 每個batch代表流逝100萬個事務      
    * from v_freeze tt    
  ) as t1      
  window w as     
  (    
    partition by t1.wb     
  )     
) as b    
) t    
order by     
  t.wb,      
  least(t.remain_ages_xid, t.remain_ages_mxid),       
  pg_total_relation_size(t.reloid) desc       
;      
  
create view dba.top20freezebigtable as 
select relowner::regrole, relnamespace::regnamespace, relname, 
age(relfrozenxid),pg_size_pretty(pg_total_relation_size(oid)) , -- 當前年齡 
coalesce(    
  least(    
    substring(reloptions::text, 'autovacuum_freeze_max_age=(\d+)')::int,     
    substring(reloptions::text, 'autovacuum_freeze_table_age=(\d+)')::int     
  ),    
  current_setting('autovacuum_freeze_max_age')::int   
)    
-    
age(case when relfrozenxid::text::int<3 then null else relfrozenxid end)     
as remain_ages_xid,  -- 再產生多少個事務后, 自動垃圾回識訓觸發FREEZE, 起因為事務ID
coalesce(    
  least(    
    substring(reloptions::text, 'autovacuum_freeze_min_age=(\d+)')::int    
  ),    
  current_setting('vacuum_freeze_min_age')::int   
) as xid_lower_to_minage    -- 如果觸發FREEZE, 該表的事務ID年齡會降到多少  
from pg_class where relkind='r' order by pg_total_relation_size(oid) desc limit 20; 


-- 未歸檔wal檔案
create view dba.arch_undone as 
select * from pg_ls_archive_statusdir() where name !~ 'done$';

-- 歸檔任務狀態
create view dba.arch_status as
select * from pg_stat_get_archiver();

-- wal空間占用
create view dba.walsize as 
select pg_size_pretty(sum(size)) from pg_ls_waldir();

-- 復制槽狀態(是否有未使用復制槽, 可能導致wal日志目錄暴漲(不清理))
create view dba.repslots as 
select * from pg_replication_slots ;

-- 系統強制保留wal大小
create view dba.wal_keep_size as
with a as (select setting from pg_settings where name='wal_keep_segments') , b as (select setting,unit from pg_settings where name='wal_segment_size') select pg_size_pretty(a.setting::int8*b.setting::int8) from a,b;

-- 系統動態檢查點最大wal保留大小
create view dba.max_wal_size as
select setting||' '||unit from pg_settings where name='max_wal_size';
  
-- 長事務、prepared statement
create view dba.long_snapshot as 
with a as (select min(transaction::Text::int8) m from pg_prepared_xacts ),
b as (select txid_snapshot_xmin(txid_current_snapshot())::text::int8 as m),
c as (select min(least(backend_xid::text::int8,backend_xmin::text::int8)) m from pg_stat_activity ),
d as (select datname,usename,pid,query_start,xact_start,now(),wait_event,query from pg_stat_activity where backend_xid is not null or backend_xmin is not null
order by least(backend_xid::text::int8,backend_xmin::text::int8) limit 1),
e as (select * from pg_prepared_xacts order by transaction::Text::int8 limit 1)
select b.m-least(a.m,c.m),d.*,e.* from a,b,c,d left join e on (1=1);

常用查詢

1、查詢只讀節點延遲

-- 在主節點查詢
select * from dba.ro_delay;  

-- 在只讀節點查詢
set lock_timeout='10ms';
set statement_timeout='2s';
select * from dba.node_delay;
select * from dba.ro_delay_on_standby;

2、查詢top query, 優化之首

select * from dba.topsql;  

3、重置top query統計計數器(通常在高峰期來臨前可以重置,防止結果干擾)

select pg_stat_statements_reset();  

4、查詢 qps , 在psql 終端可以每秒列印一次

 
select * from dba.qps;  
  
\watch 1  

4.1、查詢tps

call dba.tps();

5、查詢活躍會話數, 如果超過CPU核數, 說明資料庫非常非常繁忙, 需要注意優化

select * from dba.session_acting_cnt;  

6、當前活躍會話

select * from dba.sessions;  

7、查詢鎖等待, 如果有大量長時間等待, 需要注意業務邏輯是否有問題

select * from dba.locks;  

8、查詢占用空間top 10的表

select * from dba.top10sizetable;  

9、查詢占用空間top 10的索引

select * from dba.top10sizeindex;  

10、查詢占用空間top 10的表(含索引)

select * from dba.top10sizetableindex;  

11、查詢膨脹空間top 10的表

select * from dba.top10bloatsizetable;  

12、查詢膨脹空間top 10的索引

select * from dba.top10bloatsizeindex;  

13、查詢膨脹比例top 10的表

select * from dba.top10bloatratiotable;  

14、查詢膨脹比例top 10的索引

select * from dba.top10bloatratioindex;  

15、查詢更新和洗掉記錄條數top 10的表

select * from dba.top10updatetable;  

16、查詢插入記錄條數top 10的表

select * from dba.top10inserttable;  

17、查詢臟記錄條數top 10的表

select * from dba.top10deadtable;  

18、查詢年齡top 10的表

select * from dba.top10age;  

19、查詢當前的最老事務距離當前時間、距離當前事務數, 說明膨脹空間大小, 越大可能導致越多膨脹垃圾.

select * from dba.oldestxact;  
select * from pg_prepared_xacts;  

20、查詢序列的剩余空間

select * from dba.seqs;  

21、PostgreSQL 誰堵塞了誰(鎖等待檢測)- pg_blocking_pids

 《PostgreSQL 誰堵塞了誰(鎖等待檢測)- pg_blocking_pids》

22、查詢沒有使用過的大于1MB的索引 top 10 (注意, PK、UK如果只是用于約束, 可能不會被統計計數,但是不能刪掉)

select * from dba.top10notusedidx;

23、查詢沒有使用過的大于1MB的表 top 10

select * from dba.top10notusedtab;  

24、查詢熱表top 10

select * from dba.top10hottab;  

25、查詢大于1MB的冷表top 10

select * from dba.top10coldtab;   

26、查詢熱索引top 10

select * from dba.top10hotidx;  

27、查詢大于1MB的冷索引top 10(注意, PK、UK如果只是用于約束, 可能不會被統計計數,但是不能刪掉)

select * from dba.top10coldidx; 

28、查詢資料庫freeze風暴預測

select * from dba.v_freeze;

select * from dba.v_freeze_stat;

select * from dba.v_freeze_stat_detail;

查詢top 20的大表大freeze剩余年齡,

select * from dba.top20freezebigtable;
  
-- 結合dba.tps, 可以通過remain_ages_xid/dba.tps估算每個表還有多久會發生freeze.
call dba.tps();

29、查詢RO節點讀與replay沖突次數, 建議高頻恢復中的ro節點不要跑長sql,

select * from  dba.ro_conflicts;

30、DBA在RO 節點人為執行SQL前, 建議設定sql超時, 避免長時間跑 SQL, 導致不必要的replay延遲和 conflict cancel statement

set statement_timeout ='1s';
set lock_timeout='10ms';

31、RO 節點的conflict容忍時間最長設定, 默認為5 min

show max_standby_streaming_delay ;
 max_standby_streaming_delay 
-----------------------------
 5min
(1 row)

32、清理資料庫stat計數器

\df *.*reset*
                                              List of functions
   Schema   |                  Name                  |     Result data type     | Argument data types | Type 
------------+----------------------------------------+--------------------------+---------------------+------
 pg_catalog | pg_replication_origin_session_reset    | void                     |                     | func
 pg_catalog | pg_replication_origin_xact_reset       | void                     |                     | func
 pg_catalog | pg_stat_get_bgwriter_stat_reset_time   | timestamp with time zone |                     | func
 pg_catalog | pg_stat_get_db_stat_reset_time         | timestamp with time zone | oid                 | func
 pg_catalog | pg_stat_reset                          | void                     |                     | func
 pg_catalog | pg_stat_reset_shared                   | void                     | text                | func
 pg_catalog | pg_stat_reset_single_function_counters | void                     | oid                 | func
 pg_catalog | pg_stat_reset_single_table_counters    | void                     | oid                 | func
 public     | pg_stat_statements_reset               | void                     |                     | func
(9 rows)

33、在standby節點執行, 檢查當前standby節點接收wal的速度

call dba.wal_receive_bw();

34、在standby節點執行, 檢查當前standby節點replay wal的速度

call dba.wal_replay_bw();

35、wal檔案使用、slot風險查看,

select * from dba.arch_undone;

select * from dba.arch_status;

select * from dba.walsize;

select * from dba.repslots;

select * from dba.wal_keep_size;

select * from dba.max_wal_size;

36、長事務、prepared statement

select * from dba.long_snapshot;

37、查詢失效的索引,

select * from dba.invalid_index;

 

   

參考

《PostgreSQL 實時健康監控 大屏 - 低頻指標 - 珍藏級》
《PostgreSQL 實時健康監控 大屏 - 高頻指標(服務器) - 珍藏級》
《PostgreSQL 實時健康監控 大屏 - 高頻指標 - 珍藏級》
《PostgreSQL Freeze 風暴預測續 - 珍藏級SQL》

   作者丨digoal

本文來自博客園,作者:古道輕風,轉載請注明原文鏈接:https://www.cnblogs.com/88223100/p/The-most-commonly-used-SQL-for-PostgreSQL-DBAs.html

轉載請註明出處,本文鏈接:https://www.uj5u.com/shujuku/516461.html

標籤:PostgreSQL

上一篇:Redis 知識總結

下一篇:資料庫選型思考(PostgreSQL,MySQL,Oracle)

標籤雲
其他(157675) Python(38076) JavaScript(25376) Java(17977) C(15215) 區塊鏈(8255) C#(7972) AI(7469) 爪哇(7425) MySQL(7132) html(6777) 基礎類(6313) sql(6102) 熊猫(6058) PHP(5869) 数组(5741) R(5409) Linux(5327) 反应(5209) 腳本語言(PerlPython)(5129) 非技術區(4971) Android(4554) 数据框(4311) css(4259) 节点.js(4032) C語言(3288) json(3245) 列表(3129) 扑(3119) C++語言(3117) 安卓(2998) 打字稿(2995) VBA(2789) Java相關(2746) 疑難問題(2699) 细绳(2522) 單片機工控(2479) iOS(2429) ASP.NET(2402) MongoDB(2323) 麻木的(2285) 正则表达式(2254) 字典(2211) 循环(2198) 迅速(2185) 擅长(2169) 镖(2155) 功能(1967) .NET技术(1958) Web開發(1951) python-3.x(1918) HtmlCss(1915) 弹簧靴(1913) C++(1909) xml(1889) PostgreSQL(1872) .NETCore(1853) 谷歌表格(1846) Unity3D(1843) for循环(1842)

熱門瀏覽
  • GPU虛擬機創建時間深度優化

    **?桔妹導讀:**GPU虛擬機實體創建速度慢是公有云面臨的普遍問題,由于通常情況下創建虛擬機屬于低頻操作而未引起業界的重視,實際生產中還是存在對GPU實體創建時間有苛刻要求的業務場景。本文將介紹滴滴云在解決該問題時的思路、方法、并展示最終的優化成果。 從公有云服務商那里購買過虛擬主機的資深用戶,一 ......

    uj5u.com 2020-09-10 06:09:13 more
  • 可編程網卡芯片在滴滴云網路的應用實踐

    **?桔妹導讀:**隨著云規模不斷擴大以及業務層面對延遲、帶寬的要求越來越高,采用DPDK 加速網路報文處理的方式在橫向縱向擴展都出現了局限性。可編程芯片成為業界熱點。本文主要講述了可編程網卡芯片在滴滴云網路中的應用實踐,遇到的問題、帶來的收益以及開源社區貢獻。 #1. 資料中心面臨的問題 隨著滴滴 ......

    uj5u.com 2020-09-10 06:10:21 more
  • 滴滴資料通道服務演進之路

    **?桔妹導讀:**滴滴資料通道引擎承載著全公司的資料同步,為下游實時和離線場景提供了必不可少的源資料。隨著任務量的不斷增加,資料通道的整體架構也隨之發生改變。本文介紹了滴滴資料通道的發展歷程,遇到的問題以及今后的規劃。 #1. 背景 資料,對于任何一家互聯網公司來說都是非常重要的資產,公司的大資料 ......

    uj5u.com 2020-09-10 06:11:05 more
  • 滴滴AI Labs斬獲國際機器翻譯大賽中譯英方向世界第三

    **桔妹導讀:**深耕人工智能領域,致力于探索AI讓出行更美好的滴滴AI Labs再次斬獲國際大獎,這次獲獎的專案是什么呢?一起來看看詳細報道吧! 近日,由國際計算語言學協會ACL(The Association for Computational Linguistics)舉辦的世界最具影響力的機器 ......

    uj5u.com 2020-09-10 06:11:29 more
  • MPP (Massively Parallel Processing)大規模并行處理

    1、什么是mpp? MPP (Massively Parallel Processing),即大規模并行處理,在資料庫非共享集群中,每個節點都有獨立的磁盤存盤系統和記憶體系統,業務資料根據資料庫模型和應用特點劃分到各個節點上,每臺資料節點通過專用網路或者商業通用網路互相連接,彼此協同計算,作為整體提供 ......

    uj5u.com 2020-09-10 06:11:41 more
  • 滴滴資料倉庫指標體系建設實踐

    **桔妹導讀:**指標體系是什么?如何使用OSM模型和AARRR模型搭建指標體系?如何統一流程、規范化、工具化管理指標體系?本文會對建設的方法論結合滴滴資料指標體系建設實踐進行解答分析。 #1. 什么是指標體系 ##1.1 指標體系定義 指標體系是將零散單點的具有相互聯系的指標,系統化的組織起來,通 ......

    uj5u.com 2020-09-10 06:12:52 more
  • 單表千萬行資料庫 LIKE 搜索優化手記

    我們經常在資料庫中使用 LIKE 運算子來完成對資料的模糊搜索,LIKE 運算子用于在 WHERE 子句中搜索列中的指定模式。 如果需要查找客戶表中所有姓氏是“張”的資料,可以使用下面的 SQL 陳述句: SELECT * FROM Customer WHERE Name LIKE '張%' 如果需要 ......

    uj5u.com 2020-09-10 06:13:25 more
  • 滴滴Ceph分布式存盤系統優化之鎖優化

    **桔妹導讀:**Ceph是國際知名的開源分布式存盤系統,在工業界和學術界都有著重要的影響。Ceph的架構和演算法設計發表在國際系統領域頂級會議OSDI、SOSP、SC等上。Ceph社區得到Red Hat、SUSE、Intel等大公司的大力支持。Ceph是國際云計算領域應用最廣泛的開源分布式存盤系統, ......

    uj5u.com 2020-09-10 06:14:51 more
  • es~通過ElasticsearchTemplate進行聚合~嵌套聚合

    之前寫過《es~通過ElasticsearchTemplate進行聚合操作》的文章,這一次主要寫一個嵌套的聚合,例如先對sex集合,再對desc聚合,最后再對age求和,共三層嵌套。 Aggregations的部分特性類似于SQL語言中的group by,avg,sum等函式,Aggregation ......

    uj5u.com 2020-09-10 06:14:59 more
  • 爬蟲日志監控 -- Elastc Stack(ELK)部署

    傻瓜式部署,只需替換IP與用戶 導讀: 現ELK四大組件分別為:Elasticsearch(核心)、logstash(處理)、filebeat(采集)、kibana(可視化) 下載均在https://www.elastic.co/cn/downloads/下tar包,各組件版本最好一致,配合fdm會 ......

    uj5u.com 2020-09-10 06:15:05 more
最新发布
  • day02-2-商鋪查詢快取

    功能02-商鋪查詢快取 3.商鋪詳情快取查詢 3.1什么是快取? 快取就是資料交換的緩沖區(稱作Cache),是存盤資料的臨時地方,一般讀寫性能較高。 快取的作用: 降低后端負載 提高讀寫效率,降低回應時間 快取的成本: 資料一致性成本 代碼維護成本 運維成本 3.2需求說明 如下,當我們點擊商店詳 ......

    uj5u.com 2023-04-20 08:33:24 more
  • MySQL中binlog備份腳本分享

    關于MySQL的二進制日志(binlog),我們都知道二進制日志(binlog)非常重要,尤其當你需要point to point災難恢復的時侯,所以我們要對其進行備份。關于二進制日志(binlog)的備份,可以基于flush logs方式先切換binlog,然后拷貝&壓縮到到遠程服務器或本地服務器 ......

    uj5u.com 2023-04-20 08:28:06 more
  • day02-短信登錄

    功能實作02 2.功能01-短信登錄 2.1基于Session實作登錄 2.1.1思路分析 2.1.2代碼實作 2.1.2.1發送短信驗證碼 發送短信驗證碼: 發送驗證碼的介面為:http://127.0.0.1:8080/api/user/code?phone=xxxxx<手機號> 請求方式:PO ......

    uj5u.com 2023-04-20 08:27:27 more
  • 快取與資料庫雙寫一致性幾種策略分析

    本文將對幾種快取與資料庫保證資料一致性的使用方式進行分析。為保證高并發性能,以下分析場景不考慮執行的原子性及加鎖等強一致性要求的場景,僅追求最終一致性。 ......

    uj5u.com 2023-04-20 08:26:48 more
  • sql陳述句優化

    問題查找及措施 問題查找 需要找到具體的代碼,對其進行一對一優化,而非一直把關注點放在服務器和sql平臺 降低簡化每個事務中處理的問題,盡量不要讓一個事務拖太長的時間 例如檔案上傳時,應將檔案上傳這一步放在事務外面 微軟建議 4.啟動sql定時執行計劃 怎么啟動sqlserver代理服務-百度經驗 ......

    uj5u.com 2023-04-20 08:26:35 more
  • 云時代,MySQL到ClickHouse資料同步產品對比推薦

    ClickHouse 在執行分析查詢時的速度優勢很好的彌補了MySQL的不足,但是對于很多開發者和DBA來說,如何將MySQL穩定、高效、簡單的同步到 ClickHouse 卻很困難。本文對比了 NineData、MaterializeMySQL(ClickHouse自帶)、Bifrost 三款產品... ......

    uj5u.com 2023-04-20 08:26:29 more
  • sql陳述句優化

    問題查找及措施 問題查找 需要找到具體的代碼,對其進行一對一優化,而非一直把關注點放在服務器和sql平臺 降低簡化每個事務中處理的問題,盡量不要讓一個事務拖太長的時間 例如檔案上傳時,應將檔案上傳這一步放在事務外面 微軟建議 4.啟動sql定時執行計劃 怎么啟動sqlserver代理服務-百度經驗 ......

    uj5u.com 2023-04-20 08:25:13 more
  • Redis 報”OutOfDirectMemoryError“(堆外記憶體溢位)

    Redis 報錯“OutOfDirectMemoryError(堆外記憶體溢位) ”問題如下: 一、報錯資訊: 使用 Redis 的業務介面 ,產生 OutOfDirectMemoryError(堆外記憶體溢位),如圖: 格式化后的報錯資訊: { "timestamp": "2023-04-17 22: ......

    uj5u.com 2023-04-20 08:24:54 more
  • day02-2-商鋪查詢快取

    功能02-商鋪查詢快取 3.商鋪詳情快取查詢 3.1什么是快取? 快取就是資料交換的緩沖區(稱作Cache),是存盤資料的臨時地方,一般讀寫性能較高。 快取的作用: 降低后端負載 提高讀寫效率,降低回應時間 快取的成本: 資料一致性成本 代碼維護成本 運維成本 3.2需求說明 如下,當我們點擊商店詳 ......

    uj5u.com 2023-04-20 08:24:03 more
  • day02-短信登錄

    功能實作02 2.功能01-短信登錄 2.1基于Session實作登錄 2.1.1思路分析 2.1.2代碼實作 2.1.2.1發送短信驗證碼 發送短信驗證碼: 發送驗證碼的介面為:http://127.0.0.1:8080/api/user/code?phone=xxxxx<手機號> 請求方式:PO ......

    uj5u.com 2023-04-20 08:23:11 more