IMPALA-10692: Fix acid insert when event polling is enabled

IMPALA-10656 broke inserts to acid tables when HMS event polling
is enabled. The issue was that the new partitions created during
insert were not added to the catalog table yet when createInsertEvents
is called, as the table is reloaded only after firing the events and
committing the transaction.

The fix is to create the INSERT event based on the partition name
and the fileset alone for new partitions. Already existing partitions
need the Partition object as we add the event to the list of the
partition's in-flight events to detect self-events, but luckily new
partitions don't need self event-handling because:
- new partitions fire events only if the table is ACID
- ACID inserts don't fire any INSERT event visible to Impala, so
  it cannot cause an unnecessary metadata reload

ACID inserts from Hive work differently, they always cause an
ALTER_TABLE or ALTER_PARTITION event which are detected by Impala
and lead to metadata reload. I think that this situation is hacky
at best because these events come before COMMIT event (which is
currently ignored by Impala), so Impala may reload the table too
early (before the commit is finished).

Testing:
- added acid tables to TestEventProcessing.test_self_events

Change-Id: I8c2d0702232538a746410539ad55f87b7fde57e7
Reviewed-on: http://gerrit.cloudera.org:8080/17380
Reviewed-by: Csaba Ringhofer <csringhofer@cloudera.com>
Tested-by: Csaba Ringhofer <csringhofer@cloudera.com>
2 files changed
tree: 8e2bfe524790bb00a833db2eaf879b341a36d46d
  1. be/
  2. bin/
  3. cmake_modules/
  4. common/
  5. docker/
  6. docs/
  7. fe/
  8. infra/
  9. java/
  10. lib/
  11. security/
  12. shell/
  13. ssh_keys/
  14. testdata/
  15. tests/
  16. www/
  17. .clang-format
  18. .clang-tidy
  19. .gitattributes
  20. .gitignore
  21. buildall.sh
  22. CMakeLists.txt
  23. EXPORT_CONTROL.md
  24. LICENSE.txt
  25. LOGS.md
  26. NOTICE.txt
  27. README-build.md
  28. README.md
  29. setup.cfg
README.md

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.

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:

  • Best of breed performance and scalability.
  • Support for data stored in HDFS, Apache HBase, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more!
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate lightning-fast code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including Apache Parquet and Apache ORC.
  • Support for industry-standard security protocols, including Kerberos, LDAP and TLS.
  • Apache-licensed, 100% open source.

More about Impala

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.

Supported Platforms

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.

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.

Build Instructions

See Impala's developer documentation to get started.

Detailed build notes has some detailed information on the project layout and build.