Snowflake Vs MS-SQL - Part 36 - SPLIT_TO_TABLE

      


SPLIT_TO_TABLE

Sometimes we get a string with commas separated and we need to convert it into rows as below:

Suppose you receive a string in this format '1,2,3,4,5'

And you want to return like this.



MS-SQL Server 

You can achieve this by using multiple ways. 



In the recent version of MS SQL Server, they came up with a new String Function STRING_SPLIT.



In Snowflake, we can use a similar function SPLIT_TO_TABLE as STRING_SPLIT. 



For more details, you can refer to the following SPLIT_TO_TABLE. 




Comments

Post a Comment

Popular posts from this blog

Snowflake Vs MS-SQL - Part 68 - Multi Table Insert

Image
         Multi Table Insert We insert data into a table, and sometimes, we must archive/back it up in another table. MS-SQL Server   We can achieve this by using magic or virtual tables present, like INSERTED,  as below: However, in  Snowflake, the insert statement has an additional clause,  INSERT ALL,  which allows you to insert into multiple tables:  For more details, you can refer to the following:  Multi_Table_Insert . Yogesh Shinde LinkedInProfile <<< Back   Next >>>        
Read more

Snowflake Vs MS-SQL - Part 70 - UNION By Name

Image
        UNION By Name Sometimes, we have to combine data from multiple tables. In this case, we can use UNION. However, the catch is that the order of the columns should be the same. MS-SQL Server   We can achieve this by using UNION as below: In  Snowflake,  we can use  the same query as above; however, we have to use the same column order in the select clause. However, we can use  UNION BY Name   as below. The order of the columns in the  select clause does not matter. NOTE: Similarly, you can use  UNION ALL BY NAME . For more details, you can refer to the following:  UNION . Yogesh Shinde LinkedInProfile <<< Back   Next >>>  
Read more

Snowflake Vs MS-SQL - Part 63 - ON Clause & Cross Join

Image
          ON Clause & Cross Join We use different joins to pull the records from multiple tables. We need to use the ON clause along with JOIN. What will happen if we don't use the ON clause? MS-SQL Server   If we don't mention the ON clause, it throws an error. However, if we use the same column from the same table on both sides, it works as a cross-join.  Also, if you mention condition as 1=1 in the ON clause, it treats as CROSS JOIN. However, in  Snowflake,  both above queries will work.  Apart from this, if you don't mention the ON clause, it treats it as CROSS JOIN: Yogesh Shinde LinkedInProfile <<< Back   Next >>>   
Read more