commit | bead2ede1c79fb477d2fb4d2f73703df1e34e97a | [log] [tgz] |
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author | Yida Wu <wydbaggio000@gmail.com> | Sun Feb 21 12:00:08 2021 -0800 |
committer | Impala Public Jenkins <impala-public-jenkins@cloudera.com> | Thu Feb 25 07:50:36 2021 +0000 |
tree | 6bb4b7d23ba72b452dd0b891087da749837cc90f | |
parent | 285cea92910ee59a96a8c9c78c74272dedcbf1f9 [diff] |
IMPALA-10533: Fix TestScratchDir.test_scratch_dirs_mix_local_and_remote_dir_spill_local_only seems flaky The E2E testcase emulates the situation when there are two types of scratch directories, the data only spills to the local one when the space of local directory is sufficient. The testcase works fine for the debug build, however in the release build, the system runs faster and more data is spilled from memory which exceeds the setting of the local scratch space limit. To solve this, the size limit of local scratch space is changed from 100M to 2GB, so that allows all of the spilled data is in the local instead of the remote directory. Tests: Reran test_scratch_dirs_mix_local_and_remote_dir_spill_local_only in the release build. Change-Id: If2dc32196b2554aee9fc94a4ccbbf5803dbcce1d Reviewed-on: http://gerrit.cloudera.org:8080/17102 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.
Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:
The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.
To learn more about Impala as a user or administrator, or to try Impala, please visit the Impala homepage. Detailed documentation for administrators and users is available at Apache Impala documentation.
If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.
Impala only supports Linux at the moment. Impala supports x86_64 and has experimental support for arm64 (as of Impala 4.0). Impala Requirements contains more detailed information on the minimum CPU requirements.
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See Impala's developer documentation to get started.
Detailed build notes has some detailed information on the project layout and build.