mirror of
https://github.com/apache/impala.git
synced 2026-01-07 00:02:28 -05:00
588e1d46e9
Impala already supported RLE encoding for levels and dictionary pages, so the only task was to integrate it into BoolColumnReader. A new benchmark, rle-benchmark.cc is added to test the speed of RLE decoding for different bit widths and run lengths. There might be a small performance impact on PLAIN encoded booleans, because of the additional branch when the cache of BoolColumnReader is filled. As the cache size is 128, I considered this to be outside the "hot loop". Testing: As Impala cannot write RLE encoded bool columns at the moment, parquet-mr was used to create a test file, testdata/data/rle_encoded_bool.parquet tests/query_test/test_scanners.py#test_rle_encoded_bools creates a table that uses this file, and tries to query from it. Change-Id: I4644bf8cf5d2b7238b05076407fbf78ab5d2c14f Reviewed-on: http://gerrit.cloudera.org:8080/9403 Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com> Tested-by: Impala Public Jenkins
This directory contains Impala test workloads. The directory layout for the workloads should follow: workloads/ <data set name>/<data set name>_dimensions.csv <- The test dimension file <data set name>/<data set name>_core.csv <- A test vector file <data set name>/<data set name>_pairwise.csv <data set name>/<data set name>_exhaustive.csv <data set name>/queries/<query test>.test <- The queries for this workload