IMPALA-4065 Inline comparator calls into TopN::InsertBatch()

This work addresses the current limitation in TopN node by replacing
std::priority_queue with an in-house priority queue implementation.
In this way, call-site replacement of calls to a more efficient
version of tuple comparator becomes possible. The tuple comparator is
optimized by removing the condition test on whether the code-gen
version is ready or not.

Testing:
1. Added a new test TestBasic in a new test harness
   priority-queue-test.cc to verify that the priority queue works
   properly;
2. Ran ad-hoc performance test against tpcds.store_sales (2880404
   rows) and saw 16% and 24% top-100 performance improvement on integer
   and decimal columns respectively. The test queries are as follows.

    -- SQL integer column version
    select ss_sold_time_sk, ss_item_sk, ss_customer_sk
    from tpcds.store_sales
    order by ss_sold_time_sk, ss_item_sk
    limit 100;

    -- SQL decimal column version
    select ss_ext_wholesale_cost, ss_ext_list_price, ss_ext_tax
    from tpcds.store_sales
    order by ss_ext_wholesale_cost, ss_ext_list_price
    limit 100;

3. Ran Core tests successfully.

Change-Id: I676b4c05cf10a6946c05e317b0002c1e29e78aa8
Reviewed-on: http://gerrit.cloudera.org:8080/16373
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
8 files changed
tree: 6386179b9d3b88ea79717e4b849d22a31ec9f570
  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.