About alex.behm

Dautkhanov · ‎11-20-2016

https://github.com/Parquet/parquet-format/blob/f7ab552f569df63bdb59f751d0dd36e826682739/src/thrift/parquet.thrift#L338 Index pages are declared in Parquet format, but not actually implemented. See code above.

alex.behm · ‎11-02-2016

Hi Maurin, both tables have to be scanned to observe SQL semantics. Otherwise, we would be changing the number of results coming out of your view. If you want the drop the second union operand, you could add a "WHERE a IS NOT NULL", and then the seocnd table will not be scanned. Alex

alex.behm · ‎10-07-2016

I agree completely. The workaround is not great. Dealing with Avro schemas in a more sensible fashion is definitely on our radar, but I cannot promise an ETA yet.

alex.behm · ‎09-20-2016

Thanks for reporting this issue! Sorry for the trouble. I was able to reproduce the issue and can confirm this is a regression from previous Impala versions. I filed https://issues.cloudera.org/browse/IMPALA-4170 to track progress on the issue.

alex.behm · ‎08-26-2016

If you want to delete a whole database you can: drop database <dbname> cascade; That will drop the database and all its tables.

alex.behm · ‎07-29-2016

Filed the JIRA: https://issues.cloudera.org/browse/IMPALA-3938 Thanks a lot for your detailed report and easy reproduction!

alex.behm · ‎07-15-2016

Please take a look at this thread for a response: http://community.cloudera.com/t5/Interactive-Short-cycle-SQL/Comma-delimited-string-to-individual-rows/m-p/41402#M1781

alex.behm · ‎07-15-2016

Hi! Good question. Today, Impala is not aware of the heterogeneity and will split the work evenly among all available nodes - regardless of how much cpu/memory those nodes have.

alex.behm · ‎05-27-2016

It is not possible to do that today, because Impala UDFs can only produce scalar values (and can only take scalar arguments). We do intend to extend the UDF support to allow complex argument and return types, but there is no concrete timeline yet.

alex.behm · ‎05-26-2016

You're welcome. Sorry for the inconvenience.

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