在SQL Server中,可以使用insert将行插入到表中。。SELECT语句:

INSERT INTO Table (col1, col2, col3)
SELECT col1, col2, col3 
FROM other_table 
WHERE sql = 'cool'

是否也可以使用SELECT更新表?我有一个包含这些值的临时表,并希望使用这些值更新另一个表。也许是这样的:

UPDATE Table SET col1, col2
SELECT col1, col2 
FROM other_table 
WHERE sql = 'cool'
WHERE Table.id = other_table.id

当前回答

我会修改罗宾的优秀答案如下:

UPDATE Table
SET Table.col1 = other_table.col1,
 Table.col2 = other_table.col2
FROM
    Table
INNER JOIN other_table ON Table.id = other_table.id
WHERE
    Table.col1 != other_table.col1
OR Table.col2 != other_table.col2
OR (
    other_table.col1 IS NOT NULL
    AND Table.col1 IS NULL
)
OR (
    other_table.col2 IS NOT NULL
    AND Table.col2 IS NULL
)

如果没有WHERE子句,您甚至会影响不需要受影响的行,这可能(可能)导致索引重新计算或触发真正不应该触发的触发器。

其他回答

我添加这个只是为了让你可以看到一个快速的方法来编写它,这样你就可以在更新之前检查将要更新的内容。

UPDATE Table 
SET  Table.col1 = other_table.col1,
     Table.col2 = other_table.col2 
--select Table.col1, other_table.col,Table.col2,other_table.col2, *   
FROM     Table 
INNER JOIN     other_table 
    ON     Table.id = other_table.id 

简单的方法是:

UPDATE
    table_to_update,
    table_info
SET
    table_to_update.col1 = table_info.col1,
    table_to_update.col2 = table_info.col2

WHERE
    table_to_update.ID = table_info.ID

您可以使用以下内容在SQL Server中进行更新:

UPDATE
    T1
SET
   T1.col1 = T2.col1,
   T1.col2 = T2.col2
FROM
   Table1 AS T1
INNER JOIN Table2 AS T2
    ON T1.id = T2.id
WHERE
    T1.col3 = 'cool'

SQLite3对我很有用,在INNER SELECT之后用SELECT更新行。

UPDATE clients
SET col1 = '2023-02-02 18:51:30.826621'
FROM (
      SELECT * FROM clients dc WHERE dc.phone NOT IN (
               SELECT do.phone FROM dclient_order do WHERE do.order_date > '2023-01-01' GROUP BY do.phone
               )
      ) NewTable
WHERE clients.phone = NewTable.phone;

我以前使用过INSERT SELECT。对于那些想使用新东西的人来说,这里有一个类似的解决方案,但它要短得多:

UPDATE table1                                          // Table that's going to be updated.
LEFT JOIN                                              // Type of join.
    table2 AS tb2                                      // Second table and rename for easy.
ON
    tb2.filedToMatchTables = table1.fieldToMatchTables // Fields to connect both tables.
SET
    fieldFromTable1 = tb2.fieldFromTable2;             // Field to be updated on table1.

    field1FromTable1 = tb2.field1FromTable2,           // This is in the case you need to
    field1FromTable1 = tb2.field1FromTable2,           // update more than one field.
    field1FromTable1 = tb2.field1FromTable2;           // Remember to put ; at the end.