IMPALA-12970: Fix ConcurrentModificationException for Iceberg table scans

When a table is partitioned IcebergScanNode sorts the file descriptors
for better scheduling. However, the list of file descriptors comes from
IcebergContentFileStore and is shared between different select queries
on the table. When another query tries to iterate the list of file
descriptors and at the same time the IcebergScanNode sorts them we get
a ConcurrentModificationException.
To solve this IceberScanNode now creates its own copy of the file
descriptor list not to interfere with other queries.

Manual testing:
300-400 SELECT * Iceberg queries were sent into Impala in a loop that
confidently reproduced the original issue. With the fix the issue is
gone.
The queries used for the repro:
1:
select *
from functional_parquet.iceberg_v2_partitioned_position_deletes_orc a,
functional_parquet.iceberg_partitioned_orc_external b
where a.action = b.action and b.id=3;
2:
select *
from functional_parquet.iceberg_v2_equality_delete_schema_evolution;

Change-Id: Iafe57f05ffa0fa6a0875c141cfafd5ee1607a5c3
Reviewed-on: http://gerrit.cloudera.org:8080/21267
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
1 file changed
tree: 8573dd0a84dc0e91687b50a27198d517f53aa0b4
  1. .devcontainer/
  2. be/
  3. bin/
  4. cmake_modules/
  5. common/
  6. docker/
  7. docs/
  8. fe/
  9. infra/
  10. java/
  11. lib/
  12. package/
  13. security/
  14. shell/
  15. ssh_keys/
  16. testdata/
  17. tests/
  18. www/
  19. .clang-format
  20. .clang-tidy
  21. .gitattributes
  22. .gitignore
  23. buildall.sh
  24. CMakeLists.txt
  25. EXPORT_CONTROL.md
  26. LICENSE.txt
  27. LOGS.md
  28. NOTICE.txt
  29. README-build.md
  30. README.md
  31. setup.cfg
README.md

Welcome to Impala

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:

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.

Supported OS Distributions

Impala runs on Linux systems only. The supported distros are

  • Ubuntu 16.04/18.04
  • CentOS/RHEL 7/8

Other systems, e.g. SLES12, may also be supported but are not tested by the community.

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.