How many values IN operator accepts in DRUID

Hi All,

I have a use case where i need to pass multiple values to the IN operator in DRUID. The values may range from hundreds to thousands. Read the documentation but did not find anywhere how many values the IN operator accepts.

Is there any documentation where i can find how many values DRUID accepts in IN operator.

Hi Kumar: Can you give us an example of your query?

Thanks

Hi Ming,

Below is the example query.

select * from ‘datasourcename’ where id in (1,2,3,4,…20000);

In the example i have given 1,2,3 continuous numbers but in reality it will be replaced with the ids that i get from different database where the ids won’t be sequential.

Regards,

Varun.

Hi Varun ,

Are you facing any error while using multiple values in IN?

Below says it can accept UNLIMTED value inside IN clause, Earlier the limit was 19.

https://github.com/apache/incubator-druid/issues/6445

Hope this helps.

Thanks,

Vaibhav

Hi Vaibhav,

As most of the data bases have limit on the IN operator wanted to know if that is the same case with DRUID. Did not try passing those many ids in DRUID. As a alternative used sub queries to accomplish that task by having the required table in DRUID.

Will try passing the ids to IN operator directly and test it.

Regards,

Varun.

There is no specific limit as far as I know. From a practical side if you are doing 20k+ union operations on the underlying bitmaps, you might see performance impacts depending on if you are using Roaring or Concise bitmap compression. Usually Roaring is faster but sometimes larger in size (usually worth it though).

Hey Varun,

There isn’t a specific limit to the number of operators in the IN clause. Be aware though that once you get into the thousand-tens of thousands range, planning the SQL query can take minutes: https://github.com/apache/incubator-druid/issues/7904. If you’re issuing these queries programmatically, we found it worth while to bite the bullet and move to native queries to avoid this.

You might also be interested to check out Bloom filters: https://druid.apache.org/docs/latest/development/extensions-core/bloom-filter.html