commit | 2f7116173071082ea9cb28512894dc1fa537e9fe | [log] [tgz] |
---|---|---|
author | Michael Smith <michael.smith@cloudera.com> | Thu Mar 07 16:46:38 2024 -0800 |
committer | Joe McDonnell <joemcdonnell@cloudera.com> | Tue Mar 19 17:24:14 2024 +0000 |
tree | 2b889d079d2a21a7ffe4e5de0daea247f0bfeb52 | |
parent | 2c4d84b1e11ae1f8857abebf7e7983e7449ff3e1 [diff] |
IMPALA-12883: Support updating the charge on an entry in the cache The cache implementation currently assumes that a cache entry's charge will remain constant over time and does not support updating the charge. This works well for existing cache users like the data cache and codegen cache. However, it doesn't work as well for use cases where the final size is not known up front. Being able to update the charge also allows for avoiding concurrency issues where two different threads are trying to insert the same entry. This adds the ability to update an entry's charge after it has been inserted into the cache. This can trigger evictions if the size increases. This also adds a way to retrieve the maximum charge supported by the cache. This allows a cache user to tune its behavior to avoid generating entries that would exceed the maximum charge. Testing: - Added tests cases to the caching backend tests Change-Id: I34f54fb3a91a77821651c25d8d3bc3a2a3945025 Reviewed-on: http://gerrit.cloudera.org:8080/21122 Reviewed-by: Michael Smith <michael.smith@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Yida Wu <wydbaggio000@gmail.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.