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Date and Time - INTERVAL Often, you need to add a duration/interval to an existing date. MS-SQL Server We can achieve it as follows: In  Snowflake ,    we can use a similar approach as above; however, we can make use of the new data type  INTERVAL  as follows: For more details, refer to the  INTERVAL  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>> Snowflake Vs MS-SQL - Series

BOOLAND_AGG If you want to identify values that are the same as the given criteria. In the table below, all orders have an order_status of SHIPPED. ORDER_ID   ORDER_STATUS 1         SHIPPED 2         SHIPPED 3         SHIPPED 4         SHIPPED MS-SQL Server We can achieve it as follows: In Snowflake,  we can use  the same query as above; however, we can use   BOOLAND_AGG  as follows: For more details, refer to the  BOOLAND_AGG  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>> Snowflake Vs MS-SQL - Series  

MERGE ALL BY NAME If you are performing upsert operations, you need to provide a list of columns in the Update as well as the Insert clause. MS-SQL Server   We can achieve it as follows: In Snowflake, we can use  the same query as above; however, we can use   MERGE  as follows: For more details, refer to the  MERGE-By-Using-All-By-Name  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>> Snowflake Vs MS-SQL - Series

Stop or Cancel the Running Query While executing a query, we noticed it was taking unusually long to complete. In such situations, it’s important to know how to safely stop or cancel the execution to avoid performance bottlenecks and system impact. MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use  CANCEL_QUERY  as follows: For more details, refer to the  CANCEL_QUERY  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>> Snowflake Vs MS-SQL - Series

ARRAY UNNEST - FLATTEN If you have an array saved in a table and want to generate each value in each row as below: MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use  FLATTEN  as follows: For more details, refer to the  FLATTEN  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>> Snowflake Vs MS-SQL - Series

Replace the String - INSERT - STUFF If you want to delete a part of a string and then insert another string into the original string at a specified position. MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use INSERT  as follows: For more details, refer to the  INSERT  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>> Snowflake Vs MS-SQL - Series

Form the DATE from Parts DATE_FROM_PARTS If you want to form the date from Parts like Day, Month & Year. MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use a similar approach as above; however, we can use  DATE_FROM_PARTS  as follows: For more details, refer to the  DATE_FROM_PARTS  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>>  

Count of non-NULL records of the column using ILIKE If you want to get the Count of non-NULL records of the column. MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use a similar approach as above; however, we can use  ILIKE  as follows: For more details, refer to the  ILIKE  section. Yogesh Shinde LinkedInProfile     <<< Back   Next >>>

Snowflake Vs MS-SQL - Series Part 96 -  Row Last Updated - ROW_TIMESTAMP   -  Part 96 Part 95 -  Date and Time - INTERVAL   -  Part 95 Part 94 -  BOOLAND_AGG   -  Part 94 Part 93 -  MERGE ALL BY NAME   -  Part 93 Part 92 -  Stop or Cancel the Running Query   -  Part 92 Part 91 -  ARRAY UNNEST - FLATTEN   -  Part 91 Part 90 -  Replace the String - INSERT - STUFF  -  Part 90 Part 89 -  Form the DATE from Parts DATE_FROM_PARTS  -  Part 89 Part 88 -  Count of non-NULL records of the column using ILIKE  -  Part 88 Part 87 -  UTC Time - CONVERT TIMEZONE  -  Part 87 Part 86 -  Modulus/Modulo Function - Remainder  -  Part 86 Part 85 -  UNION ALL BY NAME  -  Part 85   Part 84 -  EXTRACT Day/Month/Year  -  Part 84 Part 83 -  Compare NULL - IS NOT DISTINCT FROM  -  Part 83   Part 8...

          UTC Time - CONVERT TIMEZONE Many times you get the time inthe local time zone, but you want to display the same time in UTC Time Zone. MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use a similar approach; however, we can use  CONVERT_TIMEZONE  as follows: For more details, refer to the  CONVERT_TIMEZONE  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>>

Modulus/Modulo Function - Remainder While calculating, if you want to find the remainder, then we can use this. MS-SQL Server   We can achieve it as follows: In  Snowflake ,  we can use a similar approach; however, we can use  MOD  as follows: For more details, refer to the  MOD  section. Yogesh Shinde LinkedInProfile <<< Back   Next >>>  

        UNION ALL BY NAME Sometimes, we have to combine data from multiple tables. In this case, we can use UNION or UNION ALL. However, the catch is that the column order or the number of columns in both tables must be the same. MS-SQL Server   We can achieve this  using  UNION  as shown below,  specifying the column names. We cannot use (*) in the select clause as the number of columns and their names are different: In  Snowflake ,  we can use  the same query as above; however, we can use the  (*) in the select clause  with  UNION ALL BY NAME   as below. The order of the columns in the  select clause does not matter. For more details, you can refer to the following:  UNION_ALL_BY_NAME . Yogesh Shinde LinkedInProfile <<< Back   Next >>>