commit | 73a9ef9c4c00419b5082f355d96961c5971634d6 | [log] [tgz] |
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author | Michael Smith <michael.smith@cloudera.com> | Mon Apr 15 15:10:43 2024 -0700 |
committer | Michael Smith <michael.smith@cloudera.com> | Fri Apr 26 23:21:56 2024 +0000 |
tree | f1bc27bafd878351e08e096e7f888f18a98aed1a | |
parent | 29e418679380591ea7b8e4bdb797ccdbb0964a3d [diff] |
IMPALA-13005: Create Query Live table in HMS Creates the 'sys.impala_query_live' table in HMS using a similar 'CREATE TABLE' command to 'sys.impala_query_log'. Updates frontend to identify a System Table based on the '__IMPALA_SYSTEM_TABLE' property. Tables improperly marked with '__IMPALA_SYSTEM_TABLE' will error when attempting to scan them because no relevant scanner will be available. Creating the table in HMS simplifies supporting 'SHOW CREATE TABLE' and 'DESCRIBE EXTENDED', so allows them for parity with Query Log. Explicitly disables 'COMPUTE STATS' on system tables as it doesn't work correctly. Makes System Tables work with local catalog mode, fixing LocalCatalogException: Unknown table type for table sys.impala_query_live Updates workload management implementation to rely more on SystemTables.thrift definition, and adds DCHECKs to verify completeness and ordering. Testing: - adds additional test cases for changes to introspection commands - passes existing test_query_live and test_query_log suites Change-Id: Idf302ee54a819fdee2db0ae582a5eeddffe4a5b4 Reviewed-on: http://gerrit.cloudera.org:8080/21302 Reviewed-by: Riza Suminto <riza.suminto@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.
This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.
See Impala's developer documentation to get started.
Detailed build notes has some detailed information on the project layout and build.