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apache / impala / dc08b657e86c3bd81af27c7acf4a31b39b5b20e9
commitdc08b657e86c3bd81af27c7acf4a31b39b5b20e9[log] [tgz]
authorDaniel Becker <daniel.becker@cloudera.com>Tue Aug 04 19:11:03 2020 +0200
committerImpala Public Jenkins <impala-public-jenkins@cloudera.com>Fri Sep 04 00:55:02 2020 +0000
tree3149bd7c3326034f07de22f33312c3bc9eff9677
parent2359a1be9dc491f6c35fe3415265d4a29d6bc939 [diff]
IMPALA-7658: Proper codegen for HiveUdfCall

Implementing codegen for HiveUdfCall.

Testing:
Verified that java udf tests pass locally.

Benchmarks:
Used a UDF from TestUdf.java that adds three integers:

  create function tpch15_parquet.sum3(int, int, int) returns int
  location '/test-warehouse/impala-hive-udfs.jar'
  symbol='org.apache.impala.TestUdf';

Used the following query on the master branch and the change's branch:

  set num_nodes=1; set mt_dop=1;
  select min(tpch15_parquet.sum3(cast(l_orderkey as int),
    cast(l_partkey as int), cast(l_suppkey as int)))
  from tpch15_parquet.lineitem;

Results averaged over 100 runs after warmup:
Master: 20.6346s, stddev: 0.3132411856765332
This change: 19.0256s, stddev: 0.42039019873436

This is a ~7.8% improvement.

Change-Id: I2f994dac550f297ed3c88491816403f237d4d747
Reviewed-on: http://gerrit.cloudera.org:8080/16314
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
10 files changed
tree: 3149bd7c3326034f07de22f33312c3bc9eff9677
  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.