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apache / impala / 117fc388bff2a754be081eae7667627f84f1b33c
commit117fc388bff2a754be081eae7667627f84f1b33c[log] [tgz]
authorSailesh Mukil <sailesh@cloudera.com>Tue May 30 18:56:43 2017 +0000
committerTaras Bobrovytsky <tbobrovytsky@cloudera.com>Thu Jun 01 17:51:57 2017 -0700
treeafe443bfda5888d741d35f137d9dff1598e74d36
parent2ffc86a5b218035cc42fa220f4d33a92b29d3fa6 [diff]
IMPALA-5383: Fix PARQUET_FILE_SIZE option for ADLS

PARQUET_FILE_SIZE query option doesn't work with ADLS because the
AdlFileSystem doesn't have a notion of block sizes. And impala depends
on the filesystem remembering the block size which is then used as the
target parquet file size (this is done for Hdfs so that the parquet file
size and block size match even if the parquet_file_size isn't a valid
blocksize).

We special case for Adls just like we do for S3 to bypass the
FileSystem block size, and instead just use the requested
PARQUET_FILE_SIZE as the output partitions block_size (and consequently
the parquet file target size).

Testing: Re-enabled test_insert_parquet_verify_size() for ADLS.

Also fixed a miscellaneous bug with the ADLS client listing helper function.

Change-Id: I474a913b0ff9b2709f397702b58cb1c74251c25b
Reviewed-on: http://gerrit.cloudera.org:8080/7018
Reviewed-by: Sailesh Mukil <sailesh@cloudera.com>
Tested-by: Impala Public Jenkins
5 files changed
tree: afe443bfda5888d741d35f137d9dff1598e74d36
  1. be/
  2. bin/
  3. cmake_modules/
  4. common/
  5. docs/
  6. ext-data-source/
  7. fe/
  8. infra/
  9. shell/
  10. ssh_keys/
  11. testdata/
  12. tests/
  13. www/
  14. .clang-format
  15. .clang-tidy
  16. .gitignore
  17. buildall.sh
  18. CMakeLists.txt
  19. DISCLAIMER
  20. EXPORT_CONTROL.md
  21. LICENSE.txt
  22. LOGS.md
  23. NOTICE.txt
  24. README.md
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 and Amazon S3.
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including the Apache Parquet (incubating) project.
  • 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.

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.

Build Instructions

See bin/bootstrap_build.sh.

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.