Table of Contents
- 查看哪些角色对表有增删改查权限
- 查看哪些角色对函数有执行权限
- 根据序列名获取表及列信息
- 查看postgresql数据库用户系统权限、对象权限
- 查看所有主键及其相关字段信息
- 查看 排除主键索引之外的 其他所有唯一性约束与唯一索引
- 给 data 用户授予 create publication 权限
- 统计当前库中每张表数据条数
- 查询所有外键对应的表与列
- 查看表所属 schmea 及其oid
- 查询表是否有索引, 触发器等信息
- 通过 SQL 查询表结构及其字段注释信息
- 查看表的注释
- 查看低效索引
- 找出没有使用过的索引
- 查看直接依赖于表的视图
- 查看无主键的表及其大小
- 排查长事务
- 数据库中 大小占用 TOP 50 的表
- 获取所有表膨胀
- 所冲突关系图
- 获取最老的事务id
- 查看wal生产情况
查看哪些角色对表有增删改查权限
SELECT grantor, grantee, table_schema, table_name, string_agg(privilege_type,',') as privilege_type
FROM information_schema.role_table_grants
group by grantor, grantee, table_schema, table_name;
查看哪些角色对函数有执行权限
SELECT
routine_catalog AS fct_db,
routine_schema AS fct_sch,
routine_name AS fct_nam,
privilege_type AS fct_priv,
array_agg (grantee::text ORDER BY grantee::text) AS fct_rol
FROM
information_schema.routine_privileges
WHERE
routine_schema NOT IN ('information_schema','pg_catalog')
GROUP BY
routine_catalog, routine_schema, routine_name, privilege_type
ORDER BY
routine_catalog, routine_schema, routine_name, privilege_type
;
根据序列名获取表及列信息
select ts.nspname as object_schema,
tbl.relname as table_name,
col.attname as column_name,
s.relname as sequence_name
from pg_class s
join pg_namespace sn on sn.oid = s.relnamespace
join pg_depend d on d.refobjid = s.oid and d.refclassid='pg_class'::regclass
join pg_attrdef ad on ad.oid = d.objid and d.classid = 'pg_attrdef'::regclass
join pg_attribute col on col.attrelid = ad.adrelid and col.attnum = ad.adnum
join pg_class tbl on tbl.oid = ad.adrelid
join pg_namespace ts on ts.oid = tbl.relnamespace
where s.relkind = 'S'
-- and s.relname = 'sequence_name'
and d.deptype in ('a', 'n');
参考:https://www.modb.pro/db/181436
查看postgresql数据库用户系统权限、对象权限
查看所有主键及其相关字段信息
- 方法1
select kcu.table_schema,
kcu.table_name,
tco.constraint_name,
string_agg(kcu.column_name,', ') as key_columns
from information_schema.table_constraints tco
join information_schema.key_column_usage kcu
on kcu.constraint_name = tco.constraint_name
and kcu.constraint_schema = tco.constraint_schema
and kcu.constraint_name = tco.constraint_name
where tco.constraint_type = 'PRIMARY KEY'
group by tco.constraint_name,
kcu.table_schema,
kcu.table_name
order by kcu.table_schema,
kcu.table_name;
参考: https://dataedo.com/kb/query/postgresql/list-all-primary-keys-in-database
- 方法2
SELECT conrelid::regclass AS table_name,
conname AS primary_key,
pg_get_constraintdef(oid)
FROM pg_constraint
WHERE contype = 'p'
AND connamespace = 'public'::regnamespace
ORDER BY conrelid::regclass::text, contype DESC;
查看 排除主键索引之外的 其他所有唯一性约束与唯一索引
-- 获取 排除主键索引之外的其他的所有唯一性索引
select * from pg_indexes where schemaname='public' and indexname not in
(
with tmp as
(
select kcu.table_schema, kcu.table_name, tco.constraint_name, string_agg(kcu.column_name,', ') as key_columns from information_schema.table_constraints tco join information_schema.key_column_usage kcu on kcu.constraint_name = tco.constraint_name and kcu.constraint_schema = tco.constraint_schema and kcu.constraint_name = tco.constraint_name where tco.constraint_type = 'PRIMARY KEY' group by tco.constraint_name, kcu.table_schema, kcu.table_name order by kcu.table_schema, kcu.table_name
)
select constraint_name from tmp where table_schema='public' group by constraint_name
) and indexdef ilike '%UNIQUE%';
给 data 用户授予 create publication 权限
grant create on DATABASE ttp to ttpdata;
统计当前库中每张表数据条数
\o table_count.sql
select $$select '$$ || tablename || $$', count(*) from $$ || tablename from pg_tables where schemaname='public' order by tablename \gexec
\o
查询所有外键对应的表与列
SELECT conname "外键约束名", conrelid::regclass AS "表名", a1.attname AS "列名" FROM pg_constraint c JOIN pg_stat_user_tables t ON t.relid = c.conrelid JOIN pg_attribute a1 ON a1.attnum = ANY(c.conkey) AND a1.attrelid = c.conrelid WHERE confrelid <> 0;
- 授权序列访问权限
--授予当前 public 中所有序列访问权限
grant usage ,select , update on all sequences in schema public to test_user;
--授予未来 public 中所有序列访问权限
alter default privileges for user test_user in schema public grant select ,update,usage on SEQUENCES to test_user;
- 授予 public 模式中所有表的 read 权限
--1. 授权已有表的只读权限给 用户
grant usage on schema public to test_user;
grant select on all tables in schema public to test_user;
--2. 授予未来新建的表的只读权限 给用户
alter default privileges
[ for role xxdata ]-- 注意, 这里在多用户情况下, 是必须的, 否则会被当做这些 public 模式下的表是 postgres 创建的, 单用户模式下是可选的
in schema public grant select on tables to test_user;
--3. 回收 public 模式中所有表的 read 权限
revoke usage on schema public from test_user;
revoke select on all tables in schema public from test_user;
alter default privileges
[ for role xxdata ] -- 注意, 这里在多用户情况下, 是必须的, 否则会被当做这些 public 模式下的表是 postgres 创建的, 单用户模式下是可选的
in schema public revoke select on tables from test_user;
查看表所属 schmea 及其oid
-- 假设查询的是 test 表
SELECT c.oid,
n.nspname,
c.relname
FROM pg_catalog.pg_class c
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace
WHERE c.relname OPERATOR(pg_catalog.~) '^(test)$'
AND pg_catalog.pg_table_is_visible(c.oid)
ORDER BY 2, 3;
查询表是否有索引, 触发器等信息
SELECT c.relchecks, c.relkind, c.relhasindex, c.relhasrules, c.relhastriggers, c.relrowsecurity, c.relforcerowsecurity, false AS relhasoids, c.relispartition, pg_catalog.array_to_string(c.reloptions || array(select 'toast.' || x from pg_catalog.unnest(tc.reloptions) x), ', ')
, c.reltablespace, CASE WHEN c.reloftype = 0 THEN '' ELSE c.reloftype::pg_catalog.regtype::pg_catalog.text END, c.relpersistence, c.relreplident, am.amname
FROM pg_catalog.pg_class c
LEFT JOIN pg_catalog.pg_class tc ON (c.reltoastrelid = tc.oid)
LEFT JOIN pg_catalog.pg_am am ON (c.relam = am.oid)
WHERE c.oid = (select oid from pg_class where relname OPERATOR(pg_catalog.~) '^(test)$');
通过 SQL 查询表结构及其字段注释信息
SELECT a.attname,
pg_catalog.format_type(a.atttypid, a.atttypmod),
(SELECT substring(pg_catalog.pg_get_expr(d.adbin, d.adrelid) for 128)
FROM pg_catalog.pg_attrdef d
WHERE d.adrelid = a.attrelid AND d.adnum = a.attnum AND a.atthasdef),
a.attnotnull,
(SELECT c.collname FROM pg_catalog.pg_collation c, pg_catalog.pg_type t
WHERE c.oid = a.attcollation AND t.oid = a.atttypid AND a.attcollation <> t.typcollation) AS attcollation,
a.attidentity,
a.attstorage,
CASE WHEN a.attstattarget=-1 THEN NULL ELSE a.attstattarget END AS attstattarget,
pg_catalog.col_description(a.attrelid, a.attnum)
FROM pg_catalog.pg_attribute a
WHERE a.attrelid = (select oid from pg_class where relname OPERATOR(pg_catalog.~) '^(test)$')
AND a.attnum > 0 AND NOT a.attisdropped
ORDER BY a.attnum;
--精简版
SELECT a.attname 字段名,
pg_catalog.format_type(a.atttypid, a.atttypmod) 字段类型,
a.attnotnull 字段是否非空,
pg_catalog.col_description(a.attrelid, a.attnum) 字段注释
FROM pg_catalog.pg_attribute a
WHERE a.attrelid = (select oid from pg_class where relname OPERATOR(pg_catalog.~) '^(test)$')
AND a.attnum > 0 AND NOT a.attisdropped
ORDER BY a.attnum;
查看表的注释
SELECT relname AS tabname,cast( obj_description ( relfilenode, 'pg_class' ) AS VARCHAR ) AS COMMENT FROM pg_class c WHERE relkind = 'r' AND relname ='test';
查看低效索引
SELECT
idstat.relname AS table_name,
indexrelname AS index_name,
idstat.idx_scan AS times_used,
pg_size_pretty(pg_relation_size(idstat.relid)) AS table_size,
pg_size_pretty(pg_relation_size(indexrelid)) AS index_size,
n_tup_upd + n_tup_ins + n_tup_del AS num_writes,
indexdef AS definition
FROM
pg_stat_user_indexes AS idstat
JOIN pg_indexes ON indexrelname = indexname
JOIN pg_stat_user_tables AS tabstat ON idstat.relname = tabstat.relname
WHERE
idstat.idx_scan < 200
AND indexdef !~* 'unique'
and idstat.relname='dwd_ent_company_info'
ORDER BY
idstat.relname,
indexrelname;
找出没有使用过的索引
SELECT
pi.schemaname,
pi.relname,
pi.indexrelname,
pg_size_pretty(pg_table_size(pi.indexrelid))
FROM
pg_indexes pis
JOIN pg_stat_user_indexes pi ON pis.schemaname = pi.schemaname
AND pis.tablename = pi.relname
AND pis.indexname = pi.indexrelname
LEFT JOIN pg_constraint pco ON pco.conname = pi.indexrelname
AND pco.conrelid = pi.relid
WHERE
pi.schemaname = 'public'
AND pco.contype IS DISTINCT FROM 'p'
AND pco.contype IS DISTINCT FROM 'u'
AND (idx_scan,
idx_tup_read,
idx_tup_fetch) = (0,
0,
0)
AND pis.indexdef !~ 'UNIQUE INDEX'
and pi.relname='dwd_ent_company_info'
ORDER BY
relname,
indexrelname,
pg_table_size(indexrelid) DESC;
查看直接依赖于表的视图
-- 查看依赖于表的视图: 方法 1
SELECT
distinct t.relname, v.oid::regclass AS view_name
FROM
pg_class t
JOIN pg_depend d ON (t.oid = d.refobjid)
JOIN pg_rewrite r ON (r.oid = d.objid)
JOIN pg_class v ON (r.ev_class = v.oid)
WHERE
t.relkind = 'r' -- 'r' 表示普通表
AND v.relkind = 'v' -- 'v' 表示视图
AND t.relname = 'test' -- 替换为你的表名
AND t.relnamespace = (SELECT oid FROM pg_namespace WHERE nspname = 'public');
参考: https://mp.weixin.qq.com/s/vdWWogWrSRLI5zpD0855ww
-- 查看依赖于表的视图: 方法 2
SELECT * FROM information_schema.view_table_usage WHERE table_name = 'test';
查看无主键的表及其大小
-- 查看没有主键的表
select row_number() over(partition by c.constraint_type) id, current_catalog dbname, t.schemaname ||'.' || t.tablename tname,
case when c.constraint_type is null then false else true end as has_primary_key,
round(pg_total_relation_size(t.tablename::regclass)/2^20) table_mb
from pg_tables t left join information_schema.table_constraints c
on (t.schemaname = c.table_schema and t.tablename = c.table_name and c.constraint_type='PRIMARY KEY')
where t.schemaname='public'
and c.constraint_type is null
and t.tablename not in ( select c.relname from pg_class c where c.relkind='p' and c.relnamespace = 'public'::regnamespace);
排查长事务
select pid,usename,xact_start,state_change,wait_event,state,query from pg_stat_activity where state<>'idle' order by xact_start ;
数据库中 大小占用 TOP 50 的表
SELECT nspname || '.' || relname AS "relation",
pg_size_pretty(pg_total_relation_size(C.oid)) AS "total_size"
FROM pg_class C
LEFT JOIN pg_namespace N ON (N.oid = C.relnamespace)
WHERE nspname NOT IN ('pg_catalog', 'information_schema')
AND C.relkind <> 'i'
AND nspname !~ '^pg_toast'
ORDER BY pg_total_relation_size(C.oid) DESC
LIMIT 50;
获取所有表膨胀
with view_table_bloat as (
SELECT
current_database(), schemaname, tablename, /*reltuples::bigint, relpages::bigint, otta,*/
ROUND((CASE WHEN otta=0 THEN 0.0 ELSE sml.relpages::float/otta END)::numeric,1) AS tbloat,
CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::BIGINT END AS wastedbytes,
iname, /*ituples::bigint, ipages::bigint, iotta,*/
ROUND((CASE WHEN iotta=0 OR ipages=0 THEN 0.0 ELSE ipages::float/iotta END)::numeric,1) AS ibloat,
CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END AS wastedibytes
FROM (
SELECT
schemaname, tablename, cc.reltuples, cc.relpages, bs,
CEIL((cc.reltuples*((datahdr+ma-
(CASE WHEN datahdr%ma=0 THEN ma ELSE datahdr%ma END))+nullhdr2+4))/(bs-20::float)) 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 (
SELECT
ma,bs,schemaname,tablename,
(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
schemaname, tablename, hdr, ma, bs,
SUM((1-null_frac)*avg_width) AS datawidth,
MAX(null_frac) AS maxfracsum,
hdr+(
SELECT 1+count(*)/8
FROM pg_stats s2
WHERE null_frac<>0 AND s2.schemaname = s.schemaname AND s2.tablename = s.tablename
) AS nullhdr
FROM pg_stats s, (
SELECT
(SELECT current_setting('block_size')::numeric) AS bs,
CASE WHEN substring(v,12,3) IN ('8.0','8.1','8.2') THEN 27 ELSE 23 END AS hdr,
CASE WHEN v ~ 'mingw32' THEN 8 ELSE 4 END AS ma
FROM (SELECT version() AS v) AS foo
) AS constants
GROUP BY 1,2,3,4,5
) AS foo
) AS rs
JOIN pg_class cc ON cc.relname = rs.tablename
JOIN pg_namespace nn ON cc.relnamespace = nn.oid AND nn.nspname = rs.schemaname AND nn.nspname <> 'information_schema'
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
)
select * from view_table_bloat ;
另一个SQL: https://github.com/ioguix/pgsql-bloat-estimation/blob/master/table/table_bloat.sql
所冲突关系图
https://postgres-locks.husseinnasser.com/
获取最老的事务id
with a as (
(select 'pg_stat_activity' as src, xact_start, usename,datname, query, backend_xid, backend_xmin
from pg_stat_activity
where backend_xid = xid(pg_snapshot_xmin(pg_current_snapshot()))
or backend_xmin = xid(pg_snapshot_xmin(pg_current_snapshot()))
order by xact_start limit 1 )
union all
(select '2pc' as src, prepared as xact_start, owner as usename, database as datname, gid as query, transaction as backend_xid, transaction as backend_xmin
from pg_prepared_xacts
where transaction = xid(pg_snapshot_xmin(pg_current_snapshot()))
order by prepared limit 1 )
)
select * from a order by xact_start limit 1;
查看wal生产情况
with tmp_file as (
select t1.file,
t1.file_ls,
(pg_stat_file(t1.file)).size as size,
(pg_stat_file(t1.file)).access as access,
(pg_stat_file(t1.file)).modification as last_update_time,
(pg_stat_file(t1.file)).change as change,
(pg_stat_file(t1.file)).creation as creation,
(pg_stat_file(t1.file)).isdir as isdir
from (select dir||'/'||pg_ls_dir(t0.dir) as file,
pg_ls_dir(t0.dir) as file_ls
from ( select '/home/postgres/15data/pg_wal'::text as dir
--需要修改这个物理路径
) t0
) t1
where 1=1
order by (pg_stat_file(file)).modification desc
)
select to_char(date_trunc('day',tf0.last_update_time),'yyyymmdd') as day_id,
sum(case when date_part('hour',tf0.last_update_time) >=0 and date_part('hour',tf0.last_update_time) <24 then 1 else 0 end) as wal_num_all,
sum(case when date_part('hour',tf0.last_update_time) >=0 and date_part('hour',tf0.last_update_time) <1 then 1 else 0 end) as wal_num_00_01,
sum(case when date_part('hour',tf0.last_update_time) >=1 and date_part('hour',tf0.last_update_time) <2 then 1 else 0 end) as wal_num_01_02,
sum(case when date_part('hour',tf0.last_update_time) >=2 and date_part('hour',tf0.last_update_time) <3 then 1 else 0 end) as wal_num_02_03,
sum(case when date_part('hour',tf0.last_update_time) >=3 and date_part('hour',tf0.last_update_time) <4 then 1 else 0 end) as wal_num_03_04,
sum(case when date_part('hour',tf0.last_update_time) >=4 and date_part('hour',tf0.last_update_time) <5 then 1 else 0 end) as wal_num_04_05,
sum(case when date_part('hour',tf0.last_update_time) >=5 and date_part('hour',tf0.last_update_time) <6 then 1 else 0 end) as wal_num_05_06,
sum(case when date_part('hour',tf0.last_update_time) >=6 and date_part('hour',tf0.last_update_time) <7 then 1 else 0 end) as wal_num_06_07,
sum(case when date_part('hour',tf0.last_update_time) >=7 and date_part('hour',tf0.last_update_time) <8 then 1 else 0 end) as wal_num_07_08,
sum(case when date_part('hour',tf0.last_update_time) >=8 and date_part('hour',tf0.last_update_time) <9 then 1 else 0 end) as wal_num_08_09,
sum(case when date_part('hour',tf0.last_update_time) >=9 and date_part('hour',tf0.last_update_time) <10 then 1 else 0 end) as wal_num_09_10,
sum(case when date_part('hour',tf0.last_update_time) >=10 and date_part('hour',tf0.last_update_time) <11 then 1 else 0 end) as wal_num_10_11,
sum(case when date_part('hour',tf0.last_update_time) >=11 and date_part('hour',tf0.last_update_time) <12 then 1 else 0 end) as wal_num_11_12,
sum(case when date_part('hour',tf0.last_update_time) >=12 and date_part('hour',tf0.last_update_time) <13 then 1 else 0 end) as wal_num_12_13,
sum(case when date_part('hour',tf0.last_update_time) >=13 and date_part('hour',tf0.last_update_time) <14 then 1 else 0 end) as wal_num_13_14,
sum(case when date_part('hour',tf0.last_update_time) >=14 and date_part('hour',tf0.last_update_time) <15 then 1 else 0 end) as wal_num_14_15,
sum(case when date_part('hour',tf0.last_update_time) >=15 and date_part('hour',tf0.last_update_time) <16 then 1 else 0 end) as wal_num_15_16,
sum(case when date_part('hour',tf0.last_update_time) >=16 and date_part('hour',tf0.last_update_time) <17 then 1 else 0 end) as wal_num_16_17,
sum(case when date_part('hour',tf0.last_update_time) >=17 and date_part('hour',tf0.last_update_time) <18 then 1 else 0 end) as wal_num_17_18,
sum(case when date_part('hour',tf0.last_update_time) >=18 and date_part('hour',tf0.last_update_time) <19 then 1 else 0 end) as wal_num_18_19,
sum(case when date_part('hour',tf0.last_update_time) >=19 and date_part('hour',tf0.last_update_time) <20 then 1 else 0 end) as wal_num_19_20,
sum(case when date_part('hour',tf0.last_update_time) >=20 and date_part('hour',tf0.last_update_time) <21 then 1 else 0 end) as wal_num_20_21,
sum(case when date_part('hour',tf0.last_update_time) >=21 and date_part('hour',tf0.last_update_time) <22 then 1 else 0 end) as wal_num_21_22,
sum(case when date_part('hour',tf0.last_update_time) >=22 and date_part('hour',tf0.last_update_time) <23 then 1 else 0 end) as wal_num_22_23,
sum(case when date_part('hour',tf0.last_update_time) >=23 and date_part('hour',tf0.last_update_time) <24 then 1 else 0 end) as wal_num_23_24
from tmp_file tf0
where 1=1
and tf0.file_ls not in ('archive_status')
group by to_char(date_trunc('day',tf0.last_update_time),'yyyymmdd')
order by to_char(date_trunc('day',tf0.last_update_time),'yyyymmdd') desc;
最后修改时间:2024-05-08 16:13:26
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