alamb opened a new pull request #960: URL: https://github.com/apache/arrow-datafusion/pull/960
# Which issue does this PR close? Next part https://github.com/apache/arrow-datafusion/issues/866 # Rationale for this change We want basic understanding of where a plan's time is spent and in what operators. See https://github.com/apache/arrow-datafusion/issues/866 for more details # What changes are included in this PR? 1. Instrument `FilterExec` using the API from https://github.com/apache/arrow-datafusion/pull/909 2. Tests for same # Are there any user-facing changes? More fields in `EXPLAIN ANALYZE` are now filled out Example of how explain analayze is looking: ```sql EXPLAIN ANALYZE select count(*) from (SELECT count(*), c1 FROM aggregate_test_100 WHERE c13 != 'C2GT5KVyOPZpgKVl110TyZO0NcJ434' GROUP BY c1 ORDER BY c1) +-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | plan_type | plan | +-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Plan with Metrics | ProjectionExec: expr=[COUNT(UInt8(1))@0 as COUNT(UInt8(1))], metrics=[] | | | HashAggregateExec: mode=Final, gby=[], aggr=[COUNT(UInt8(1))], metrics=[output_rows=1, elapsed_compute=69.362µs] | | | CoalescePartitionsExec, metrics=[output_rows=3, elapsed_compute=NOT RECORDED] | | | HashAggregateExec: mode=Partial, gby=[], aggr=[COUNT(UInt8(1))], metrics=[output_rows=3, elapsed_compute=119.041µs] | | | RepartitionExec: partitioning=RoundRobinBatch(3), metrics=[send_time{inputPartition=0}=4.775µs, fetch_time{inputPartition=0}=12.77346ms, repart_time{inputPartition=0}=NOT RECORDED] | | | SortExec: [c1@0 ASC], metrics=[output_rows=5, elapsed_compute=232.203µs] | | | CoalescePartitionsExec, metrics=[output_rows=5, elapsed_compute=NOT RECORDED] | | | HashAggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1], aggr=[COUNT(UInt8(1))], metrics=[output_rows=5, elapsed_compute=373.876µs] | | | CoalesceBatchesExec: target_batch_size=4096, metrics=[] | | | RepartitionExec: partitioning=Hash([Column { name: "c1", index: 0 }], 3), metrics=[fetch_time{inputPartition=0}=34.072102ms, repart_time{inputPartition=0}=252.872µs, send_time{inputPartition=0}=NOT RECORDED] | | | HashAggregateExec: mode=Partial, gby=[c1@0 as c1], aggr=[COUNT(UInt8(1))], metrics=[output_rows=5, elapsed_compute=581.405µs] | | | CoalesceBatchesExec: target_batch_size=4096, metrics=[] | | | FilterExec: c13@1 != C2GT5KVyOPZpgKVl110TyZO0NcJ434, metrics=[output_rows=99, elapsed_compute=309.095µs] | | | RepartitionExec: partitioning=RoundRobinBatch(3), metrics=[fetch_time{inputPartition=0}=8.239528ms, send_time{inputPartition=0}=9.864µs, repart_time{inputPartition=0}=NOT RECORDED] | | | CsvExec: source=Path(ARROW_TEST_DATA/csv/aggregate_test_100.csv: [ARROW_TEST_DATA/csv/aggregate_test_100.csv]), has_header=true, metrics=[] | +-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
