IMPALA-10020: Implement ds_kll_cdf_as_string() function

This is the support for Cumulative Distribution Function (CDF) from
Apache DataSketches KLL algorithm collection. It receives a serialized
KLL sketch and one or more float values to represent ranges in the
sketched values.
E.g. [1, 5, 10] will mean the following ranges:
(-inf, 1), (-inf, 5), (-inf, 10), (-inf, +inf)
Returns a comma separated string where each value in the string is a
number in the range of [0,1] and shows that what percentage of the
data is in the particular ranges.

Note, ds_kll_cdf() should return an Array of doubles as the result but
with that we have to wait for the complex type support. Until, we
provide ds_kll_cdf_as_string() that can be deprecated once we
have array support. Tracking Jira for returning complex types from
functions is IMPALA-9520.

Example:
select ds_kll_cdf_as_string(ds_kll_sketch(float_col), 2, 4, 10)
from alltypes;
+----------------------------------------------------------+
| ds_kll_cdf_as_string(ds_kll_sketch(float_col), 2, 4, 10) |
+----------------------------------------------------------+
| 0.2,0.401644,1,1                                         |
+----------------------------------------------------------+

Change-Id: I77e6afc4556ad05a295b89f6d06c2e4a6bb2cf82
Reviewed-on: http://gerrit.cloudera.org:8080/16359
Reviewed-by: Gabor Kaszab <gaborkaszab@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
4 files changed
tree: 5dc71251cbd81169599c8d905e443a1baa434cbe
  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.