使用 Scala 在 Databricks 中执行一系列存储过程

Question

I am working in a migration project, where lift and shift method is used to migrate SQL server DB from onprem to AZure Cloud. There is a lot of stored procedures used for integration in On prem.Now here in On prem, to process the XMl file and execute the same procedures pointing to the cloud Db I need to write a code in Databricks. I have code to execute a single stored procedure using Scala, as I am new to coding in python/scala I couldn't find the right method to execute the procedures.

The below code is what I have used to execute one procedure- sample

%scala

val username = "xxxxx"
val pass = "xxxxx"
val url = "jdbc:sqlserver://xxx.database.windows.net:1433;databaseName=xxx"
val table = "SalesLT.Temp3"
val query = s"EXEC sp_truncate_table '${table}'"


val conn = DriverManager.getConnection(url, username, pass)
val rs = conn.createStatement.execute(query)

I have a requirement to execute some 10 stored procedures in series. Looking forward for your suggestions.

Answer 1

To run multiple stored procedures sequentially you can create one Stored procedure and call all your stored procedures in that and call this stored procedure through Databricks.

The following code example is referred from here by @Thom A

CREATE PROC MySP1  @int  int AS  
     PRINT @int  /  0;  --To error  
GO  
  
CREATE PROC MySP2  @int  int AS   
     PRINT @int  +  1;  
GO  
  
CREATE PROC MySP3  @int  int AS  
     PRINT @int  +  2;  
GO  
  
CREATE PROC AllMySPs  @Int  int AS  
     PRINT 'Executing SP1...';  
     BEGIN TRY  
         EXEC MySP1  @Int;  
     END TRY  
     BEGIN CATCH  
         PRINT 'MySP1 failed';  
     END CATCH  
     PRINT 'Executing SP2...';  
     BEGIN TRY  
         EXEC MySP2  @Int;  
     END TRY  
     BEGIN CATCH  
         PRINT 'MySP2 failed';  
     END CATCH  
     PRINT 'Executing SP3...';  
     BEGIN TRY  
         EXEC MySP3  @Int;  
     END TRY  
     BEGIN CATCH  
         PRINT 'MySP3 failed';  
     END CATCH  
GO