IMPALA-10133:Implement ds_hll_stringify function.

This function receives a string that is a serialized Apache DataSketches
HLL sketch and returns its stringified format.

A stringified format should look like and contains the following data:

select ds_hll_stringify(ds_hll_sketch(float_col)) from
functional_parquet.alltypestiny;
+--------------------------------------------+
| ds_hll_stringify(ds_hll_sketch(float_col)) |
+--------------------------------------------+
| ### HLL sketch summary:                    |
|   Log Config K   : 12                      |
|   Hll Target     : HLL_4                   |
|   Current Mode   : LIST                    |
|   LB             : 2                       |
|   Estimate       : 2                       |
|   UB             : 2.0001                  |
|   OutOfOrder flag: false                   |
|   Coupon count   : 2                       |
| ### End HLL sketch summary                 |
|                                            |
+--------------------------------------------+

Change-Id: I85dbf20b5114dd75c300eef0accabe90eac240a0
Reviewed-on: http://gerrit.cloudera.org:8080/16382
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
4 files changed
tree: 7e86b7933b4a653b4ac0f4e2b054afcb03e89119
  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.