IMPALA-12929: Skip loading HDFS permissions in local-catalog mode

HDFS file/dir permissions are not used at all in local catalog mode - in
LocalFsTable, hasWriteAccessToBaseDir() always returns true and
getFirstLocationWithoutWriteAccess() always returns null.

However, in catalogd, we still load them (in single thread for a table!)
which could dominant the table loading time when there are lots of
partitions. Note that the table loading process in catalogd is the same
no matter what catalog mode is in used. The difference between catalog
modes is mainly in how coordinators get metadata from catalogd. Local
catalog mode is turned on by setting --catalog_topic_mode=minimal on
catalogd and --use_local_catalog=true on coordinators.

This patch skips loading HDFS permissions on catalogd when running in
local catalog mode. We can revisit it in IMPALA-7539.

Tests:
 - Ran CORE tests

Change-Id: I5baa9f6ab0d3888a78ff161ae5caa19e85bc983a
Reviewed-on: http://gerrit.cloudera.org:8080/21178
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2 files changed
tree: ae9faf6a14b89aa1a510856f3e71e490843e1280
  1. .devcontainer/
  2. be/
  3. bin/
  4. cmake_modules/
  5. common/
  6. docker/
  7. docs/
  8. fe/
  9. infra/
  10. java/
  11. lib/
  12. package/
  13. security/
  14. shell/
  15. ssh_keys/
  16. testdata/
  17. tests/
  18. www/
  19. .clang-format
  20. .clang-tidy
  21. .gitattributes
  22. .gitignore
  23. buildall.sh
  24. CMakeLists.txt
  25. EXPORT_CONTROL.md
  26. LICENSE.txt
  27. LOGS.md
  28. NOTICE.txt
  29. README-build.md
  30. README.md
  31. setup.cfg
README.md

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in open data and table formats.

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:

More about Impala

The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.

To learn more about Impala as a user or administrator, or to try Impala, 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.

Supported OS Distributions

Impala runs on Linux systems only. The supported distros are

  • Ubuntu 16.04/18.04
  • CentOS/RHEL 7/8

Other systems, e.g. SLES12, may also be supported but are not tested by the community.

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.