| commit | 4428db37b3884373482071fc918936b0c080e47c | [log] [tgz] |
|---|---|---|
| author | Zoltan Borok-Nagy <boroknagyz@cloudera.com> | Fri Mar 01 20:49:11 2024 +0100 |
| committer | Zoltan Borok-Nagy <boroknagyz@cloudera.com> | Tue Mar 05 09:51:24 2024 +0000 |
| tree | 97a47b7335be6b26dd8146359b54f02ff883d0b4 | |
| parent | ff5cbadec4885c09f69f37574d4f4c08f62744c1 [diff] |
IMPALA-12860: Invoke validateDataFilesExist for RowDelta operations We must invoke validateDataFilesExist for RowDelta operations (DELETE/ UPDATE/MERGE). Without this a concurrent RewriteFiles (compaction) and RowDelta can corrupt a table. IcebergBufferedDeleteSink now also collects the filenames of the data files that are referenced in the position delete files. It adds them to the DML exec state which is then collected by the Coordinator. The Coordinator passes the file paths to CatalogD which executes Iceberg's RowDelta operation and now invokes validateDataFilesExist() with the file paths. Additionally it also invokes validateDeletedFiles(). This patch set also resolves IMPALA-12640 which is about replacing IcebergDeleteSink with IcebergBufferedDeleteSink, as from now on we use the buffered version for all DML operations that write position delete files. Testing: * adds new stress test with DELETE + UPDATE + OPTIMIZE Change-Id: I4869eb863ff0afe8f691ccf2fd681a92d36b405c Reviewed-on: http://gerrit.cloudera.org:8080/21099 Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Reviewed-by: Gabor Kaszab <gaborkaszab@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.