Translations from T-SQL: TOP 1 OUTER APPLY or LEFT...

MattHeidebrecht · ‎12-05-2024

Hi All,

I am wondering how you would go about translating either of the below to Spark SQL in Databricks. They are more or less equivalent statements in T-SQL.

Please note that I am attempting to pair each unique Policy (IPI_ID) record with its highest numbered Location (IL_ID) record. There can be many Location records for each Policy record. The Location table links to the Policy table via Policy.IPI_ID = Location.IL_IPI_ID.

I have tried to utilize LIMIT 1 in certain ways (example further below) but either receive errors or the results do not match.

Any help or suggestions are appreciated!

T-SQL:

select
	ipi.IPI_ID
	,loc.IL_ID
from Policy ipi
outer apply
	(
	select top 1 il.IL_ID
	from Location il
	where il.IL_IPI_ID = ipi.IPI_ID
	order by
		il.IL_ID desc
	) loc

--

select
	ipi.IPI_ID
	,il.IL_ID
from Policy ipi
left join Location il
	on il.IL_ID =
		(
		select top 1 il2.IL_ID
		from Location il2
		where il2.IL_IPI_ID = ipi.IPI_ID
		order by
			il2.IL_ID desc
		)

Errors out in Databricks Spark SQL:

select
	ipi.IPI_ID
	,il.IL_ID
from Policy ipi
left join Location il
	on il.IL_ID =
	(
	select il2.IL_ID
	from Location il2
	where il2.IL_IPI_ID = ipi.IPI_ID
	order by
		il2.IL_ID desc
  limit 1
  );

filipniziol · ‎12-05-2024

Hi @MattHeidebrecht ,

You can use ROW_NUMBER window function to order rows and then filter on that rank.

Here is the query:

WITH loc_ranked AS (
    SELECT
        IL_IPI_ID,
        IL_ID,
        ROW_NUMBER() OVER (PARTITION BY IL_IPI_ID ORDER BY IL_ID DESC) AS rn
    FROM Location
)

SELECT
    ipi.IPI_ID,
    loc_ranked.IL_ID
FROM Policy ipi
LEFT JOIN loc_ranked
    ON ipi.IPI_ID = loc_ranked.IL_IPI_ID
    AND loc_ranked.rn = 1;

Here is the end to end example with sample data:

CREATE OR REPLACE TEMP VIEW Policy AS
SELECT * FROM VALUES
  (1),
  (2),
  (3)
AS t(IPI_ID);

CREATE OR REPLACE TEMP VIEW Location AS
SELECT * FROM VALUES
  (1, 10),
  (1, 5),
  (2, 100),
  (2, 90),
  (3, 300),
  (3, 250),
  (3, 100)
AS t(IL_IPI_ID, IL_ID);

WITH loc_ranked AS (
    SELECT
        IL_IPI_ID,
        IL_ID,
        ROW_NUMBER() OVER (PARTITION BY IL_IPI_ID ORDER BY IL_ID DESC) AS rn
    FROM Location
)
SELECT
    ipi.IPI_ID,
    loc_ranked.IL_ID
FROM Policy ipi
LEFT JOIN loc_ranked
    ON ipi.IPI_ID = loc_ranked.IL_IPI_ID
    AND loc_ranked.rn = 1;

The result:

View solution in original post

MattHeidebrecht · ‎12-06-2024

Thanks filipniziol! I'll start running with that when I run into cases where I need an embedded TOP 1.

filipniziol · ‎12-06-2024

Hi @MattHeidebrecht ,

Great! If this resolves your question, please consider marking it as the solution. It helps others in the community find answers more easily. 😊

Translations from T-SQL: TOP 1 OUTER APPLY or LEFT JOIN