IMPALA-10112: Remove FpRateTooHigh() check for bloom filter

FpRateTooHigh() check for bloom filter that can be disabled if the
observed false-positive probability (FPP) rate is higher than
FLAGS_max_filter_error_rate. This patch remove FpRateTooHigh() check for
several reasons:

1. Partition filters are probably still worth evaluating even if there
   are false positives because it is cheap and beneficial to eliminate a
   partition.

2. Runtime filters are dynamically disabled on the scan side if they are
   ineffective. Even an ALWAYS_TRUE_FILTER that substitutes a disabled
   filter is also still being evaluated and not entirely free.

3. The disabling is less likely to kick in for partitioned joins because
   it only applied to a small subset of the filters before the Or()
   operation.

4. FpRateTooHigh() use num_build_rows to approximate the FPP rate of the
   resulting filter. This can be inaccurate because it does not take
   account of duplicate values of the filter key on the build side.

This patch also removes some tests in test_runtime_filters.py that check
cancellation of filters having a high FPP rate.

Testing:
- Run and pass core tests.
- Manually test and verify in a real large cluster (TPC-DS 30TB scale)
  that there is only a little (< 2.1%) to no performance regression
  incurred from the removal of high FPP check. The test used TPC-DS
  queries Q14a, Q50, Q64, Q71, Q84, Q93, and a modified Q93 with the
  left outer join replaced by an inner join.
  The query time comparison between having an FPP check versus without
  having an FPP check are the following:

  | Query | With check (ms) | Without check (ms) |
  |-------+-----------------+--------------------|
  | Q14a  |          129801 |             125992 |
  | Q50   |           72519 |              72652 |
  | Q64   |          150684 |             145241 |
  | Q71   |           21009 |              20358 |
  | Q84   |           29334 |              29944 |
  | Q93   |           91782 |              91923 |
  | Q93m  |           92897 |              92135 |

Change-Id: Id9f8f40764b4f6664cc81b0da428afea8e3588d4
Reviewed-on: http://gerrit.cloudera.org:8080/16499
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
6 files changed
tree: 0ce602151b8ecce6d64fb2aa6d37b87f9b59bc84
  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. 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.

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.