IMPALA-4364: Query option to refresh updated HMS partitions

This patch introduces a new boolean query option
REFRESH_UPDATED_HMS_PARTITIONS. When this query option is set
the refresh table command reloads the partitions which have been
modified in HMS in addition to adding [removing] the new [removed]
partitions.

In order to do this the refresh table command needs to fetch all
the partitions instead of the just the partition names which can
cause the performance of refresh table to degrade when the query
option is set. However for certain use-cases currently there is
no way to detect changed partitions using refresh table command.
For instance, if certain partition locations have been changed,
a refresh table will not update those partitions.

Testing:
1. Added a new test which sets the query option and makes sure
that the updated partitions from hive are reloaded after refresh
table command.
2. Ran exhaustive tests with the patch.

Change-Id: I50e8680509f4eb0712e7bb3de44df5f2952179af
Reviewed-on: http://gerrit.cloudera.org:8080/16308
Reviewed-by: Quanlong Huang <huangquanlong@gmail.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
11 files changed
tree: e3cc523ca2b87c71060703177bcfc292e0895201
  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.