IMPALA-14680: Improve row regex search syntax in runtime profile tests

Currently, the runtime profile tests contain row regex searches
which try to find matches by comparing the regex line by line.
This form of search is inefficient.

So, while updating the tests for the aggregated profile IMPALA-9846,
this performance is being improved by accumulating row regexes together,
then searching the entire profile at once.

In order to support this improvement, we need to correct the current
`row_regex` syntax being used.

The current tests use greedy regex like ".*" at the beginning and end
of `row_regex` searches. Using greedy regex in this way consumes more
resources and is redundant for the current implementation.

To fix this, these additional greedy regex characters(i.e. `.*`,`.+`)
are being removed or replaced across all the runtime profile tests.

Change-Id: I1460c2d22b03c06aa43c85f78fa9e05cec2775ec
Reviewed-on: http://gerrit.cloudera.org:8080/23864
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Csaba Ringhofer <csringhofer@cloudera.com>
52 files changed
tree: 85ad2a79baa650f6bd8e8d339cf9fec4e00d0642
  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. .asf.yaml
  20. .clang-format
  21. .clang-tidy
  22. .gitattributes
  23. .gitignore
  24. .isort.cfg
  25. buildall.sh
  26. CMakeLists.txt
  27. EXPORT_CONTROL.md
  28. LICENSE.txt
  29. LOGS.md
  30. NOTICE.txt
  31. README-build.md
  32. README.md
  33. 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.