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apache / impala / c4277d8f7558451731b6da4d984df7bd78942050
commitc4277d8f7558451731b6da4d984df7bd78942050[log] [tgz]
authorstiga-huang <huangquanlong@gmail.com>Tue Sep 22 18:59:53 2020 +0800
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Thu Sep 24 05:04:17 2020 +0000
tree9009984fc618c920ae1a8f3c3e458f6b09cd2800
parentd6442e0d8afb9fc4f5070583f1ce2ee143b7f13b [diff]
IMPALA-10183: Fix hitting DCHECK when cancelling a query with result spooling

BufferedPlanRootSink has a Promise, all_results_spooled_, that could be
accessed by different threads, e.g. the fragment execution thread and
cancellation threads. The main purpose of setting this Promise is to
unblock the coordinator if it's waiting for this. So we can simply
declare this Promise's mode to be MULTIPLE_PRODUCER to avoid hitting the
DCHECK in Promise.Set().

Tests:
 - Run TestResultSpoolingFailpoints::test_failpoints for more than 4000
   iterations

Change-Id: Iaba0ed729ef984f9c51347df02e9fb6f90bc71e0
Reviewed-on: http://gerrit.cloudera.org:8080/16489
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2 files changed
tree: 9009984fc618c920ae1a8f3c3e458f6b09cd2800
  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. 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.

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.