IMPALA-9636: Don't run retried query on the blacklisted nodes

When a node is blacklisted, it is only placed on the blacklist for a
certain period of time. For the current implementation, it is possible
that the retried query could end up running on the node that it
blacklisted during its original attempt. To avoid same failure for
the retried query, we should not schedule query fragment instances on
the blacklisted nodes which caused the original query to fail.

This patch filters out the executors from executor group for those
nodes which are blacklisted during its original attempt when make
schedule for the retried query.
Adds new test cases test_retry_exec_rpc_failure_before_admin_delay()
and test_retry_query_failure_all_executors_blacklisted() for retried
queries which are triggered by RPC failure and blacklist timeout
are triggered by adding delay before admission.

Testing:
 - Passed test_query_retries.py, including the new test cases.
 - Passed core tests.

Change-Id: I00bc1b5026efbd0670ffbe57bcebc457d34cb105
Reviewed-on: http://gerrit.cloudera.org:8080/16369
Reviewed-by: Sahil Takiar <stakiar@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
10 files changed
tree: dca6c3ad7c9847e5b2141c78993683ff1698fc42
  1. be/
  2. bin/
  3. cmake_modules/
  4. common/
  5. docker/
  6. docs/
  7. ext-data-source/
  8. fe/
  9. impala-parent/
  10. infra/
  11. lib/
  12. query-event-hook-api/
  13. security/
  14. shaded-deps/
  15. shell/
  16. ssh_keys/
  17. testdata/
  18. tests/
  19. www/
  20. .clang-format
  21. .clang-tidy
  22. .gitattributes
  23. .gitignore
  24. buildall.sh
  25. CMakeLists.txt
  26. EXPORT_CONTROL.md
  27. LICENSE.txt
  28. LOGS.md
  29. NOTICE.txt
  30. README-build.md
  31. README.md
  32. 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

To learn more about Impala as a business user, or to try Impala live or in a VM, 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.

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.