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mgm
Fluorite | Level 6 mgm
Fluorite | Level 6
proc sql;
delete from DATA1 a
	where exists (select 1 from  DATA2 b where a.ID = b.ID and a.ID2 = b.ID2);
quit;

This statement is tremendously slow for a table with 8.3 million rows. 

6 REPLIES 6
TomKari
Onyx | Level 15

Two questions:

 

First, the obvious one. How "slow" is really slow? How long is it taking?

 

Second, what kind of tables are "DATA1" and "DATA2". SAS datasets? Database tables accessed via SAS/Access? Other?

 

And if they're database tables, which technology (Oracle, DB2...)

 

Tom

Kurt_Bremser
Super User

@mgm wrote:
proc sql;
delete from DATA1 a
	where exists (select 1 from  DATA2 b where a.ID = b.ID and a.ID2 = b.ID2);
quit;

This statement is tremendously slow for a table with 8.3 million rows. 


- define "slow". Use options fullstimer to get a clear picture.

- given that all datasets reside in WORK, and the SQL utility file will also be placed there, I'm not surprised that the performance of this step is dismal. Depending on the size of data2, I'd either use sort/data steps, or a format created from data2, or a hash object created from data2.

LinusH
Tourmaline | Level 20
Correlated subquery with exists can be slow.
Indexing on id could help.
But if your id is unique it could be faster recreating the table with a data step merge (like if a a not b).
Data never sleeps
mgm
Fluorite | Level 6 mgm
Fluorite | Level 6
proc sql;
delete from DATA1 a
	where exists (select 1 from  DATA2 b where a.ID = b.ID and a.ID2 = b.ID2);
quit;

This statement is tremendously slow for a table with 8.3 million rows, any suggestions on improving the performance ?

ChrisBrooks
Ammonite | Level 13

With 8.3M rows I would have thought either indexing the ID and ID2 fields on both files or pre-sorting them by ID and ID2 might help.

Ksharp
Super User

I would try Hash Table if the table is very big.

Or try this one , maybe save you some time.

 

proc sql;
delete from DATA1
	where catx('|',ID,ID2) in (select catx('|',ID,ID2) from  DATA2 );
quit;

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