更新时间:2024-05-20 GMT+08:00

分区表DML查询语句

由于分区的实现完全体现在数据库内核中,用户对分区表查询、非分区表查询在语法上除了指定分区的查询操作以外没有区别。

出于分区表的易用性考虑,GaussDB支持指定分区的查询操作,指定分区可以通过PARTITION (partname)或者PARTITION FOR (partvalue)来进行。指定分区DML支持以下几类语法:

  1. 查询(SELECT)
  2. 插入(INSERT)
  3. 更新(UPDATE)
  4. 删除(DELETE)
  5. 插入或更新(UPSERT)
  6. 合并(MERGE INTO)

下面给出了指定分区做DML的示例:

/* 创建分区表 list_02 */
gaussdb=# CREATE TABLE IF NOT EXISTS list_02
(
    id   INT,
    role VARCHAR(100),
    data VARCHAR(100)
)
PARTITION BY LIST (id)
(
    PARTITION p_list_2 VALUES(0,1,2,3,4,5,6,7,8,9),
    PARTITION p_list_3 VALUES(10,11,12,13,14,15,16,17,18,19),
    PARTITION p_list_4 VALUES( DEFAULT ),
    PARTITION p_list_5 VALUES(20,21,22,23,24,25,26,27,28,29),
    PARTITION p_list_6 VALUES(30,31,32,33,34,35,36,37,38,39),
    PARTITION p_list_7 VALUES(40,41,42,43,44,45,46,47,48,49)
) ENABLE ROW MOVEMENT;
/* 导入数据 */
INSERT INTO list_02 VALUES(null, 'alice', 'alice data');
INSERT INTO list_02 VALUES(2, null, 'bob data');
INSERT INTO list_02 VALUES(null, null, 'peter data');

/* 对指定分区进行查询 */
-- 查询分区表全部数据
gaussdb=# SELECT * FROM list_02 ORDER BY data;
 id | role  |    data    
----+-------+------------
    | alice | alice data
  2 |       | bob data
    |       | peter data
(3 rows)
-- 查询分区p_list_2数据
gaussdb=# SELECT * FROM list_02 PARTITION (p_list_2) ORDER BY data;
 id | role |   data   
----+------+----------
  2 |      | bob data
(1 row)
-- 查询(100)所对应的分区的数据,即分区p_list_4
gaussdb=# SELECT * FROM list_02 PARTITION FOR (100) ORDER BY data;
 id | role  |    data
----+-------+------------
    | alice | alice data
    |       | peter data
(2 rows)

/* 对指定分区做IUD */
-- 删除分区p_list_5中的全部数据
gaussdb=# DELETE FROM list_02 PARTITION (p_list_5);
-- 指定分区p_list_7插入数据,由于数据不符合该分区约束,插入报错
gaussdb=# INSERT INTO list_02 PARTITION (p_list_7) VALUES(null, 'cherry', 'cherry data');
ERROR:  inserted partition key does not map to the table partition
-- 将分区值100所属分区,即分区p_list_4的数据进行更新
gaussdb=# UPDATE list_02 PARTITION FOR (100) SET data = '';

--UPSERT。
gaussdb=# INSERT INTO list_02 (id, role, data) VALUES (1, 'test', 'testdata') ON DUPLICATE KEY UPDATE
role = VALUES(role), data = VALUES(data);

--MERGE INTO。
gaussdb=# CREATE TABLE IF NOT EXISTS list_tmp
(
    id   INT,
    role VARCHAR(100),
    data VARCHAR(100)
)
PARTITION BY LIST (id)
(
    PARTITION p_list_2 VALUES(0,1,2,3,4,5,6,7,8,9),
    PARTITION p_list_3 VALUES(10,11,12,13,14,15,16,17,18,19),
    PARTITION p_list_4 VALUES( DEFAULT ),
    PARTITION p_list_5 VALUES(20,21,22,23,24,25,26,27,28,29),
    PARTITION p_list_6 VALUES(30,31,32,33,34,35,36,37,38,39),
    PARTITION p_list_7 VALUES(40,41,42,43,44,45,46,47,48,49)) ENABLE ROW MOVEMENT;

gaussdb=# MERGE INTO list_tmp target
USING list_02 source
ON (target.id = source.id)
WHEN MATCHED THEN 
  UPDATE SET target.data = source.data,
             target.role = source.role
WHEN NOT MATCHED THEN
  INSERT (id, role, data)
  VALUES (source.id, source.role, source.data);

--删除表。
gaussdb=# 
DROP TABLE list_02;
DROP TABLE list_tmp;