IMPALA-9729: consistent GetExecSummary() behaviour

Before IMPALA-9380, GetExecSummary() for archived
queries without a coordinator returned a blank TExecSummary,
but for in-flight queries it returned a "not found" error.

This was masked by the synchronous query unregistration,
but now has made an impala-shell test flaky, because the
close() RPC returns to the shell before the query is archived,
so the following GetExecSummary() call may go down either
code path.

This change makes the behaviour consistent for both code
paths and preserves impala-shell behaviour.

Testing:
Looped TestImpalaShell.test_summary to make sure flakiness was
fixed.

Change-Id: If2b2ab118c4769e80284b2a3390577dd5f5e888b
Reviewed-on: http://gerrit.cloudera.org:8080/15868
Reviewed-by: Thomas Tauber-Marshall <tmarshall@cloudera.com>
Tested-by: Tim Armstrong <tarmstrong@cloudera.com>
2 files changed
tree: aeda3983db0e24cec9967cf1ff5f29c370439860
  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.