IMPALA-5022 part 1: Implement core functions of outer join simplification

Outer joins in SQL can return rows with certain columns filled with
NULLs when a match can not be found. However, such rows can be
rejected by null-rejecting predicates. The conditions in a null-rejecting
predicate that are always evaluated to FALSE for NULLs are referred to
as null-filtering conditions.

In general, an outer join can be converted to an inner join if there
exist null-filtering conditions on the inner tables. In a left outer
join, the right table is the inner table, while in a right outer join
it is the left table. In a full outer join, both tables are inner tables.

The option ENABLE_OUTER_JOIN_TO_INNER_TRANSFORMATION enables or disables
the entire rewrite. This is False by default until we have done more
thorough functional testing.

For example,
1. A LEFT JOIN B ON A.id = B.id WHERE B.v > 10
= A INNER JOIN B ON A.id = B.id WHERE B.v > 10

2. A RIGHT JOIN B ON A.id = B.id WHERE A.v > 10
= A INNER JOIN B ON A.id = B.id WHERE A.v > 10

3. A FULL JOIN B ON A.id = B.id WHERE A.v > 10
= A LEFT JOIN B ON A.id = B.id WHERE A.v > 10

4. A FULL JOIN B ON A.id = B.id WHERE B.v > 10
= A RIGHT JOIN B ON A.id = B.id WHERE B.v > 10

5. A FULL JOIN B ON A.id = B.id WHERE A.v > 10 AND B.v > 10
= A INNER JOIN B ON A.id = B.id WHERE A.v > 10 AND B.v > 10

6. A LEFT JOIN B ON A.id = B.id INNER JOIN C ON B.id = C.id
= A INNER JOIN B ON A.id = B.id INNER JOIN C ON B.id = C.id

7. A RIGHT JOIN B ON A.id = B.id INNER JOIN C ON A.id = C.id
= A INNER JOIN B ON A.id = B.id INNER JOIN C ON A.id = C.id

8. A FULL JOIN B ON A.id = B.id INNER JOIN C ON A.id = C.id
= A LEFT JOIN B ON A.id = B.id INNER JOIN C ON A.id = C.id

9. A FULL JOIN B ON A.id = B.id INNER JOIN C ON B.id = C.id
= A RIGHT JOIN B ON A.id = B.id INNER JOIN C ON B.id = C.id

10. A FULL JOIN B ON A.id = B.id INNER JOIN C ON A.id + B.id = C.id
= A INNER JOIN B ON A.id = B.id INNER JOIN C ON A.id + B.id = C.id

In this commit, we have supported most of the cases that can convert
an outer join to an inner join, except for converting the embedding
inline view outer join by the join condition like
"SELECT * FROM T1 JOIN (SELECT T3.A A FROM T2 LEFT JOIN T3
ON T3.B=T2.B) T4 ON T4.A=T1.A". We will support it in part 2.

Tests:
* Add new plan tests outer-to-inner-joins.test
* Add new query tests to verify the correctness on transformation
* Ran the full set of verifications in Impala Public Jenkins

Change-Id: Iaa7804033fac68e93f33c387dc68ef67f803e93e
Reviewed-on: http://gerrit.cloudera.org:8080/16266
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
13 files changed
tree: d69e898ae970a8009580a586d24300636f4bd0e6
  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.