| commit | e7376466c56c15101fc699428b6bf3a00de7332b | [log] [tgz] |
|---|---|---|
| author | Riza Suminto <riza.suminto@cloudera.com> | Thu Sep 12 20:50:18 2024 -0700 |
| committer | Impala Public Jenkins <impala-public-jenkins@cloudera.com> | Fri Sep 20 05:57:44 2024 +0000 |
| tree | 406789fa669ac656039858b30e3fa5360a6a7d34 | |
| parent | d3134bfb4ad50f8bb680e54be6c27e587ae02817 [diff] |
IMPALA-13377: Excercise exec_option in test_recover_partitions.py
Before this patch, test_recover_partitions.py declare exec_option
dimension, but none of the test function exercise it. vector arg is
never used anywhere.
This patch fix the test by setting client configuration with given
vector.get_value('exec_option').
Testing:
- Run and pass test_recover_partitions.py in exhaustive mode.
- Confirm in coordinator log file that there are equal number of queries
run with either sync_ddl true or false (95 each).
Change-Id: I4e938dd8667937c996854032a1e13184c62d7b48
Reviewed-on: http://gerrit.cloudera.org:8080/21796
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 open data and table formats.
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.
Impala runs on Linux systems only. The supported distros are
Other systems, e.g. SLES12, may also be supported but are not tested by the community.
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See Impala's developer documentation to get started.
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