| commit | b7ddbcad0dd6accb559a3f391a897a8c442d1728 | [log] [tgz] |
|---|---|---|
| author | Venu Reddy <k.venureddy2103@gmail.com> | Sat Feb 24 04:43:35 2024 +0530 |
| committer | Impala Public Jenkins <impala-public-jenkins@cloudera.com> | Fri Mar 08 14:46:02 2024 +0000 |
| tree | 3830da92be0c8610dfd3d3140a1ca838f2fe54ed | |
| parent | 9702724959b5ac7d9f7796197c89049b6d39653e [diff] |
IMPALA-12832: Implicit invalidate metadata on event failures At present, failure in event processing needs manual invalidate metadata. This patch implicitly invalidates the table upon failures in processing of table events with new 'invalidate_metadata_on_event_processing_failure' flag. And a new 'invalidate_global_metadata_on_event_processing_failure' flag is added to global invalidate metadata automatically when event processor goes to non-active state. Note: Also introduced a config 'inject_process_event_failure_event_types' for automated tests to simulate event processor failures. This config is used to specify what event types can be intentionally failed. This config should only be used for testing purpose. Need IMPALA-12851 as a prerequisite Testing: - Added end-to-end tests to mimic failures in event processor and verified that event processor is active - Added unit test to verify the 'auto_global_invalidate_metadata' config - Passed FE tests Co-Authored-by: Sai Hemanth Gantasala <saihemanth@cloudera.com> Change-Id: Ia67fc04c995802d3b6b56f79564bf0954b012c6c Reviewed-on: http://gerrit.cloudera.org:8080/21065 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.
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.