Hi, No and it¹s a shame because we¹re stuck on some compatibility details with this.
The primary issue is the fact that the InputFormat is very generic and offers no way to communicate StorageDescriptor or bucketing. The split generation for something SequenceFileInputFormat lives inside MapReduce, where it has no idea about bucketing. So InputFormat.getSplits(conf) returns something relatively arbitrary, which contains a mixture of files when CombineInputFormat is turned on. I have implemented this twice so far for ORC (for custom Tez jobs, with huge wins) by using an MRv2 PathFilter over the regular OrcNewInputFormat implementation, by turning off combine input and using Tez grouping instead. But that has proved to be very fragile for a trunk feature, since with schema evolution of partitioned tables older partitions may be bucketed with a different count from a newer partition - so the StorageDescriptor for each partition has to be fetched across before we can generate a valid PathFilter. The SARGs are probably a better way to do this eventually as they can implement IN_BUCKET(1,2) to indicate 1 of 2 instead of the ³00000_1² PathFilter which is fragile. Right now, the most fool-proof solution we¹ve hit upon was to apply the ORC bloom filter to the bucket columns, which is far safer as it does not care about the DDL - but does a membership check on the actual metadata & prunes deeper at the stripe-level if it is sorted as well. That is somewhat neat since this doesn¹t need any new options for querying - it automatically(*) kicks in for your query pattern. Cheers, Gopal (*) - conditions apply - there¹s a threshold for file-size for these filters to be evaluated during planning (to prevent HS2 from burning CPU). From: Daniel Haviv <daniel.ha...@veracity-group.com> Reply-To: "user@hive.apache.org" <user@hive.apache.org> Date: Thursday, March 12, 2015 at 2:36 AM To: "user@hive.apache.org" <user@hive.apache.org> Subject: Bucket pruning Hi, We created a bucketed table and when we select in the following way: select * from testtble where bucket_col ='X'; We observe that there all of the table is being read and not just the specific bucket. Does Hive support such a feature ? Thanks, Daniel