我想在PostgreSQL中获得索引上的列。
在MySQL中,您可以使用SHOW INDEXES FOR表并查看Column_name列。
mysql> show indexes from foos;
+-------+------------+---------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+-------+------------+---------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| foos | 0 | PRIMARY | 1 | id | A | 19710 | NULL | NULL | | BTREE | |
| foos | 0 | index_foos_on_email | 1 | email | A | 19710 | NULL | NULL | YES | BTREE | |
| foos | 1 | index_foos_on_name | 1 | name | A | 19710 | NULL | NULL | | BTREE | |
+-------+------------+---------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
PostgreSQL中存在类似的东西吗?
我已经在psql命令提示符中尝试了\d(使用-E选项来显示SQL),但它没有显示我正在寻找的信息。
更新:感谢大家的回答。cope360提供了我想要的东西,但也有一些人提供了非常有用的链接。为了将来的参考,请查看pg_index的文档(通过Milen A. Radev)和非常有用的文章从PostgreSQL提取META信息(通过micharov Niklas)。
一些样本数据…
create table test (a int, b int, c int, constraint pk_test primary key(a, b));
create table test2 (a int, b int, c int, constraint uk_test2 unique (b, c));
create table test3 (a int, b int, c int, constraint uk_test3b unique (b), constraint uk_test3c unique (c), constraint uk_test3ab unique (a, b));
使用pg_get_indexdef函数:
select pg_get_indexdef(indexrelid) from pg_index where indrelid = 'test'::regclass;
pg_get_indexdef
--------------------------------------------------------
CREATE UNIQUE INDEX pk_test ON test USING btree (a, b)
(1 row)
select pg_get_indexdef(indexrelid) from pg_index where indrelid = 'test2'::regclass;
pg_get_indexdef
----------------------------------------------------------
CREATE UNIQUE INDEX uk_test2 ON test2 USING btree (b, c)
(1 row)
select pg_get_indexdef(indexrelid) from pg_index where indrelid ='test3'::regclass;
pg_get_indexdef
------------------------------------------------------------
CREATE UNIQUE INDEX uk_test3b ON test3 USING btree (b)
CREATE UNIQUE INDEX uk_test3c ON test3 USING btree (c)
CREATE UNIQUE INDEX uk_test3ab ON test3 USING btree (a, b)
(3 rows)
如果你想保持索引中的列顺序,这里有一个(非常丑陋的)方法:
select table_name,
index_name,
array_agg(column_name)
from (
select
t.relname as table_name,
i.relname as index_name,
a.attname as column_name,
unnest(ix.indkey) as unn,
a.attnum
from
pg_class t,
pg_class i,
pg_index ix,
pg_attribute a
where
t.oid = ix.indrelid
and i.oid = ix.indexrelid
and a.attrelid = t.oid
and a.attnum = ANY(ix.indkey)
and t.relkind = 'r'
and t.relnamespace = <oid of the schema you're interested in>
order by
t.relname,
i.relname,
generate_subscripts(ix.indkey,1)) sb
where unn = attnum
group by table_name, index_name
列顺序存储在pg_index中。indkey列,我是根据这个数组的下标排序的。
在处理索引时,索引中构造列的顺序与列本身同样重要。
下面的查询以排序的方式列出给定表的所有索引及其所有列。
SELECT
table_name,
index_name,
string_agg(column_name, ',')
FROM (
SELECT
t.relname AS table_name,
i.relname AS index_name,
a.attname AS column_name,
(SELECT i
FROM (SELECT
*,
row_number()
OVER () i
FROM unnest(indkey) WITH ORDINALITY AS a(v)) a
WHERE v = attnum)
FROM
pg_class t,
pg_class i,
pg_index ix,
pg_attribute a
WHERE
t.oid = ix.indrelid
AND i.oid = ix.indexrelid
AND a.attrelid = t.oid
AND a.attnum = ANY (ix.indkey)
AND t.relkind = 'r'
AND t.relname LIKE 'tablename'
ORDER BY table_name, index_name, i
) raw
GROUP BY table_name, index_name
select t.relname as table_name,
i.relname as index_name,
array_position(ix.indkey,a.attnum) pos,
a.attname as column_name
from pg_class t
join pg_index ix on t.oid = ix.indrelid
join pg_class i on i.oid = ix.indexrelid
join pg_attribute a on a.attrelid = t.oid and a.attnum = ANY(ix.indkey)
where t.relkind = 'r'
and t.relname like 'orders'
order by t.relname, i.relname, array_position(ix.indkey,a.attnum)
查询结果:
table | column | type | notnull | index_name | is_index | primarykey | uniquekey | default
-------+----------------+------------------------+---------+--------------+----------+- -----------+-----------+---------
nodes | dns_datacenter | character varying(255) | f | | f | f | f |
nodes | dns_name | character varying(255) | f | dns_name_idx | t | f | f |
nodes | id | uuid | t | nodes_pkey | t | t | t |
(3 rows)
查询:
SELECT
c.relname AS table,
f.attname AS column,
pg_catalog.format_type(f.atttypid,f.atttypmod) AS type,
f.attnotnull AS notnull,
i.relname as index_name,
CASE
WHEN i.oid<>0 THEN 't'
ELSE 'f'
END AS is_index,
CASE
WHEN p.contype = 'p' THEN 't'
ELSE 'f'
END AS primarykey,
CASE
WHEN p.contype = 'u' THEN 't'
WHEN p.contype = 'p' THEN 't'
ELSE 'f'
END AS uniquekey,
CASE
WHEN f.atthasdef = 't' THEN d.adsrc
END AS default FROM pg_attribute f
JOIN pg_class c ON c.oid = f.attrelid
JOIN pg_type t ON t.oid = f.atttypid
LEFT JOIN pg_attrdef d ON d.adrelid = c.oid AND d.adnum = f.attnum
LEFT JOIN pg_namespace n ON n.oid = c.relnamespace
LEFT JOIN pg_constraint p ON p.conrelid = c.oid AND f.attnum = ANY (p.conkey)
LEFT JOIN pg_class AS g ON p.confrelid = g.oid
LEFT JOIN pg_index AS ix ON f.attnum = ANY(ix.indkey) and c.oid = f.attrelid and c.oid = ix.indrelid
LEFT JOIN pg_class AS i ON ix.indexrelid = i.oid
WHERE c.relkind = 'r'::char
AND n.nspname = 'public' -- Replace with Schema name
--AND c.relname = 'nodes' -- Replace with table name, or Comment this for get all tables
AND f.attnum > 0
ORDER BY c.relname,f.attname;