IMPALA-12610: Support reading ARRAY columns for Iceberg Metadata tables

This commit adds support for reading ARRAY columns inside Iceberg
Metadata tables.

The change starts with some refactoring, to consolidate accessing JVM
through JNI a new backend class was introduced, IcebergMetadataScanner.
This class is the C++ part of the Java IcebergMetadataScanner, it is
responsible to manage the Java scanner object.

In Iceberg array types do not have accessors, so structs inside arrays
have to be accessed by position, for the value obtaining logics have been
changed to allow access by position.

The IcebergRowReader needed an IcebergMetadataScanner, so that it can
iterate over the arrays returned by the scanner and add them to the
collection.

This change will not cover MAP, these slots are set to NULL, it will
be done in IMPALA-12611.

Testing:
 - Added E2E tests.

Change-Id: Ieb9bac1822a17bd3cd074b4b98e4d010703cecb1
Reviewed-on: http://gerrit.cloudera.org:8080/21061
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Gabor Kaszab <gaborkaszab@cloudera.com>
11 files changed
tree: f81d977174247ba67dfef42aba840fd62c7980ec
  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.