IMPALA-11979: Add 'scheduling_seed' to customize consistent scheduling behavior

This adds a startup parameter --scheduling_seed which is a string
identifier of an executor within an executor group. It should
be unique within an executor group, but it could be reused
across executors groups on the same system. This is used for
scan range scheduling for remote filesystems, so this can be
used to make the scheduling deterministic across multiple
executor groups or when an executor group gets restarted on
machines with different IP addresses.

For example, the 3rd executor in an executor group of size 8
might use "executor_3_of_8" for its scheduling seed. If there
are multiple executors groups of size 8, the 3rd in each can
use that scheduling seed.

Testing:
 - Ran core job

Change-Id: Ie01c7d119cc88766082dbfca3ff685354d01f71f
Reviewed-on: http://gerrit.cloudera.org:8080/22214
Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
7 files changed
tree: d100ef9d31bd490e0e647159acdec7edbcd3be5a
  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.