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Gabor Kaszab edited comment on IMPALA-9228 at 1/27/20 1:29 PM: --------------------------------------------------------------- I also tested this for 100 int cols created from the scale 25 lineitem table. The results seem good, with this scale I observe 13% - 16% reduction in the scanning / materialization time. Next step is to implement this for all the other types besides int/bigint. was (Author: gaborkaszab): I also tested this for 100 int cols created from the scale 25 lineitem table. The results seem good, with this scale I observe 13% - 16% reduction in the scanning / materialization time. > ORC scanner could be vectorized > ------------------------------- > > Key: IMPALA-9228 > URL: https://issues.apache.org/jira/browse/IMPALA-9228 > Project: IMPALA > Issue Type: Improvement > Reporter: Zoltán Borók-Nagy > Assignee: Gabor Kaszab > Priority: Major > Labels: orc > Attachments: 1-4_col_measurement_int_only.png > > > The ORC scanners uses an external library to read ORC files. The library > reads the file contents into its own memory representation. It is a > vectorized representation similar to the Arrow format. > Impala needs to convert the ORC row batch to an Impala row batch. Currently > the conversion happens row-wise via virtual function calls: > [https://github.com/apache/impala/blob/85425b81f04c856d7d5ec375242303f78ec7964e/be/src/exec/hdfs-orc-scanner.cc#L671] > [https://github.com/apache/impala/blob/85425b81f04c856d7d5ec375242303f78ec7964e/be/src/exec/orc-column-readers.cc#L352] > Instead of this approach it could work similarly to the Parquet scanner that > fills the columns one-by-one into a scratch batch, then evaluate the > conjuncts on the scratch batch. For more details see > HdfsParquetScanner::AssembleRows(): > [https://github.com/apache/impala/blob/85425b81f04c856d7d5ec375242303f78ec7964e/be/src/exec/parquet/hdfs-parquet-scanner.cc#L1077-L1088] > This way we'll need a lot less virtual function calls, also the memory > reads/writes will be much more localized and predictable. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-all-unsubscr...@impala.apache.org For additional commands, e-mail: issues-all-h...@impala.apache.org