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ASF GitHub Bot commented on DRILL-4387: --------------------------------------- Github user amansinha100 commented on a diff in the pull request: https://github.com/apache/drill/pull/379#discussion_r53386823 --- Diff: contrib/storage-hbase/src/main/java/org/apache/drill/exec/store/hbase/HBaseGroupScan.java --- @@ -34,6 +34,7 @@ import java.util.concurrent.TimeUnit; import com.fasterxml.jackson.annotation.JsonCreator; +import com.google.common.base.Objects; --- End diff -- unnecessary import ? > Improve execution side when it handles skipAll query > ---------------------------------------------------- > > Key: DRILL-4387 > URL: https://issues.apache.org/jira/browse/DRILL-4387 > Project: Apache Drill > Issue Type: Bug > Reporter: Jinfeng Ni > Assignee: Jinfeng Ni > Fix For: 1.6.0 > > > DRILL-4279 changes the planner side and the RecordReader in the execution > side when they handles skipAll query. However, it seems there are other > places in the codebase that do not handle skipAll query efficiently. In > particular, in GroupScan or ScanBatchCreator, we will replace a NULL or empty > column list with star column. This essentially will force the execution side > (RecordReader) to fetch all the columns for data source. Such behavior will > lead to big performance overhead for the SCAN operator. > To improve Drill's performance, we should change those places as well, as a > follow-up work after DRILL-4279. > One simple example of this problem is: > {code} > SELECT DISTINCT substring(dir1, 5) from dfs.`/Path/To/ParquetTable`; > {code} > The query does not require any regular column from the parquet file. However, > ParquetRowGroupScan and ParquetScanBatchCreator will put star column as the > column list. In case table has dozens or hundreds of columns, this will make > SCAN operator much more expensive than necessary. -- This message was sent by Atlassian JIRA (v6.3.4#6332)