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apache / impala / 155ffd64ee3562c36d5000de3a5102e05b393cc2
commit155ffd64ee3562c36d5000de3a5102e05b393cc2[log] [tgz]
authorSahil Takiar <takiar.sahil@gmail.com>Thu Sep 03 15:50:43 2020 -0700
committerSahil Takiar <stakiar@cloudera.com>Tue Sep 22 23:45:57 2020 +0000
tree5a5007957f5926476d84db9abc4b91e08e5ffbc5
parentdcdbaf12224e7029dde3110d56edea022dd3a2a0 [diff]
IMPALA-9046: Profile counter that indicates if a JVM pause occurred

Adds a new section to the host profiles that includes JVM GC related
metrics. These metrics are taken from JMX and the JvmPauseMonitor.

The host profiles will now include a section like below:

        JVM:
           - GcCount: 19
           - GcNumInfoThresholdExceeded: 0
           - GcNumWarnThresholdExceeded: 0
           - GcTimeMillis: 17s476ms
           - GcTotalExtraSleepTimeMillis: 380

GcNumInfoThresholdExceeded, GcNumWarnThresholdExceeded, and
GcTotalExtraSleepTimeMillis are all taken from JvmPauseMonitor.
GcCount and GcTimeMillis are taken from JMX (specifically,
GarbageCollectorMXBean).

The counters themselves are derived from the impalad host-level metrics.

Changed the 'lock_' in JvmMetricCache (in memory-metrics.h) from a mutex
to a shared_mutex. Most accessors of the JvmMetricCache member variables
are read-only. A write only occurs lazily at most every second. This
should help reduce lock contention on JvmMetricCache now that all
queries will start accessing info stored by the JvmMetricCache.

Testing:
* Ran core tests
* Added a test that runs Java UDF, which triggers JVM GC

Change-Id: Idbaae2f9142b8be94532a0a147668a3d96091b0b
Reviewed-on: http://gerrit.cloudera.org:8080/16414
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Reviewed-by: Sahil Takiar <stakiar@cloudera.com>
Tested-by: Sahil Takiar <stakiar@cloudera.com>
5 files changed
tree: 5a5007957f5926476d84db9abc4b91e08e5ffbc5
  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.