IMPALA-8361: Propagate predicates of outer-joined InlineView

This is an improvement that tries to propagate predicates of the
nullable side of the outer join into inline view.

For example:
SELECT *
FROM functional.alltypessmall a
    LEFT JOIN (
        SELECT id, upper(string_col) AS upper_val,
        length(string_col) AS len
        FROM functional.alltypestiny
    ) b ON a.id = b.id
WHERE b.upper_val is NULL and b.len = 0
Before this change, the predicate b.len=0 can't be migrated into inline
view since that is on the nullable side of an outer join if the
predicate evaluates in the inline view nulls will not be rejected.
However, we can be more aggressive. In particular, some predicates that
must be evaluted at a join node can also be safely evaluted by the
outer-joined inline view. Such predicates are not marked as assigned.
The predicates propagate into the inline view and also be evaluated at
a join node.

We can divide predicates into two types. One that satisfies the condition
that same as Analyzer#canEvalPredicate can be migrated into inline view,
and one that satisfies the below three conditions is safe to be propagated
into the nullable side of an outer join.
1) The predicate needs to be bound by tupleIds.
2) The predicate is not on-clause.
3) The predicate evaluates to false when all its referenced tuples are NULL.

Therefore, 'b.upper_val is NULL' cannot be propagated to inline view but
‘b.len = 0’ can be propagated to inline view.

Tests:
* Add plan tests in inline-view.test
* One baseline plan in inline-view.test, one in nested-collections.test
and two in predicate-propagation.test had to be updated
* Ran the full set of verifications in Impala Public Jenkins

Change-Id: I6c23a45aeb5dd1aa06a95c9aa8628ecbe37ef2c1
Reviewed-on: http://gerrit.cloudera.org:8080/15047
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
(cherry picked from commit 9cb6dabe10da0aa29d61b6bba0f82ec3cefc4e0d)
7 files changed
tree: 2cbc0dd44aa362906901dab95f9799e3bb5c4891
  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.md
  31. 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 and Amazon S3.
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including the Apache Parquet project.
  • 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.

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 bin/bootstrap_build.sh.

Detailed Build Notes

Impala can be built with pre-built components or components downloaded from S3. The components needed to build Impala are Apache Hadoop, Hive, HBase, and Sentry. If you need to manually override the locations or versions of these components, you can do so through the environment variables and scripts listed below.

Scripts and directories
LocationPurpose
bin/impala-config.shThis script must be sourced to setup all environment variables properly to allow other scripts to work
bin/impala-config-local.shA script can be created in this location to set local overrides for any environment variables
bin/impala-config-branch.shA version of the above that can be checked into a branch for convenience.
bin/bootstrap_build.shA helper script to bootstrap some of the build requirements.
bin/bootstrap_development.shA helper script to bootstrap a developer environment. Please read it before using.
be/build/Impala build output goes here.
be/generated-sources/Thrift and other generated source will be found here.
Build Related Variables
Environment variableDefault valueDescription
IMPALA_HOMETop level Impala directory
IMPALA_TOOLCHAIN“${IMPALA_HOME}/toolchain”Native toolchain directory (for compilers, libraries, etc.)
SKIP_TOOLCHAIN_BOOTSTRAP“false”Skips downloading the toolchain any python dependencies if “true”
CDH_BUILD_NUMBERIdentifier to indicate the CDH build number
CDH_COMPONENTS_HOME“${IMPALA_HOME}/toolchain/cdh_components-${CDH_BUILD_NUMBER}”Location of the CDH components within the toolchain.
CDH_MAJOR_VERSION“5”Identifier used to uniqueify paths for potentially incompatible component builds.
IMPALA_CONFIG_SOURCED“1”Set by ${IMPALA_HOME}/bin/impala-config.sh (internal use)
JAVA_HOME“/usr/lib/jvm/${JAVA_VERSION}”Used to locate Java
JAVA_VERSION“java-7-oracle-amd64”Can override to set a local Java version.
JAVA“${JAVA_HOME}/bin/java”Java binary location.
CLASSPATHSee bin/set-classpath.sh for details.
PYTHONPATHWill be changed to include: “${IMPALA_HOME}/shell/gen-py” “${IMPALA_HOME}/testdata” “${THRIFT_HOME}/python/lib/python2.7/site-packages” “${HIVE_HOME}/lib/py” “${IMPALA_HOME}/shell/ext-py/prettytable-0.7.1/dist/prettytable-0.7.1” "${IMPALA_HOME}/shell/ext-py/sasl-0.1.1/dist/sasl-0.1.1-py2.7-linux-x "${IMPALA_HOME}/shell/ext-py/sqlparse-0.1.19/dist/sqlparse-0.1.19-py2
Source Directories for Impala
Environment variableDefault valueDescription
IMPALA_BE_DIR“${IMPALA_HOME}/be”Backend directory. Build output is also stored here.
IMPALA_FE_DIR“${IMPALA_HOME}/fe”Frontend directory
IMPALA_COMMON_DIR“${IMPALA_HOME}/common”Common code (thrift, function registry)
Various Compilation Settings
Environment variableDefault valueDescription
IMPALA_BUILD_THREADS“8” or set to number of processors by default.Used for make -j and distcc -j settings.
IMPALA_MAKE_FLAGS""Any extra settings to pass to make. Also used when copying udfs / udas into HDFS.
USE_SYSTEM_GCC“0”If set to any other value, directs cmake to not set GCC_ROOT, CMAKE_C_COMPILER, CMAKE_CXX_COMPILER, as well as setting TOOLCHAIN_LINK_FLAGS
IMPALA_CXX_COMPILER“default”Used by cmake (cmake_modules/toolchain and clang_toolchain.cmake) to select gcc / clang
USE_GOLD_LINKER“true”Directs backend cmake to use gold.
IS_OSX“false”(Experimental) currently only used to disable Kudu.
Dependencies
Environment variableDefault valueDescription
HADOOP_HOME“${CDH_COMPONENTS_HOME}/hadoop-${IMPALA_HADOOP_VERSION}/”Used to locate Hadoop
HADOOP_INCLUDE_DIR“${HADOOP_HOME}/include”For ‘hdfs.h’
HADOOP_LIB_DIR“${HADOOP_HOME}/lib”For ‘libhdfs.a’ or ‘libhdfs.so’
HIVE_HOME“${CDH_COMPONENTS_HOME}/{hive-${IMPALA_HIVE_VERSION}/”
HBASE_HOME“${CDH_COMPONENTS_HOME}/hbase-${IMPALA_HBASE_VERSION}/”
SENTRY_HOME“${CDH_COMPONENTS_HOME}/sentry-${IMPALA_SENTRY_VERSION}/”Used to setup test data
THRIFT_HOME“${IMPALA_TOOLCHAIN}/thrift-${IMPALA_THRIFT_VERSION}”