Spark SQL 中的合并 - 当源不匹配时

Ard*_*oli 6 apache-spark apache-spark-sql azure-databricks

我正在 Databricks 中编写 Python 和 Spark SQL,并且使用 Spark 2.4.5。

我有两张桌子。

Create table IF NOT EXISTS db_xsi_ed_faits_shahgholi_ardalan.Destination
(
  id Int,
  Name string,
  Deleted int
) USING Delta;

Create table IF NOT EXISTS db_xsi_ed_faits_shahgholi_ardalan.Source
(
  id Int,
  Name string,
  Deleted int
) USING Delta;
Run Code Online (Sandbox Code Playgroud)

我需要在源和目标之间运行合并命令。我写了下面的命令

%sql
MERGE INTO db_xsi_ed_faits_shahgholi_ardalan.Destination AS D
USING db_xsi_ed_faits_shahgholi_ardalan.Source AS S
ON (S.id = D.id)
-- UPDATE
WHEN MATCHED AND S.Name <> D.Name THEN 
  UPDATE SET 
    D.Name = S.Name
-- INSERT    
WHEN NOT MATCHED THEN 
  INSERT (id, Name, Deleted)
  VALUES (S.id, S.Name, S.Deleted)
 -- DELETE
WHEN NOT MATCHED BY SOURCE THEN 
  UPDATE SET 
     D.Deleted = 1
Run Code Online (Sandbox Code Playgroud)

当我运行此命令时,出现以下错误:

在此输入图像描述

看来我们还没有NOT MATCHED BY SOURCE火花啊!我需要一个解决方案来做到这一点。

Ard*_*oli 3

我写了这段代码,但我仍在寻找更好的方法

%sql
MERGE INTO db_xsi_ed_faits_shahgholi_ardalan.Destination AS D
USING db_xsi_ed_faits_shahgholi_ardalan.Source AS S
ON (S.id = D.id)
-- UPDATE
WHEN MATCHED AND S.Name <> D.Name THEN 
  UPDATE SET 
    D.Name = S.Name
-- INSERT    
WHEN NOT MATCHED THEN 
  INSERT (id, Name, Deleted)
  VALUES (S.id, S.Name, S.Deleted)
;

%sql
-- Logical delete
UPDATE db_xsi_ed_faits_shahgholi_ardalan.Destination
  SET Deleted = 1
WHERE db_xsi_ed_faits_shahgholi_ardalan.Destination.id in
(
  SELECT
    D.id
  FROM db_xsi_ed_faits_shahgholi_ardalan.Destination AS D
  LEFT JOIN db_xsi_ed_faits_shahgholi_ardalan.Source AS S ON (S.id = D.id)
  WHERE S.id is null
) 
Run Code Online (Sandbox Code Playgroud)