Thomas Tauber-Marshall ba84ad03cb IMPALA-6954: Fix problems with CTAS into Kudu with an expr rewrite
This patch fixes two problems:
- Previously a CTAS into a Kudu table where an expr rewrite occurred
  would create an unpartitioned table, due to the partition info being
  reset in TableDataLayout and then never reconstructed. Since the
  Kudu partition info is set by the parser and never changes, the
  solution is to not reset it.
- Previously a CTAS into a Kudu table with a range partition where an
  expr rewrite occurred would fail with an analysis exception due to
  a Precondition check in RangePartition.analyze that checked that
  the RangePartition wasn't already analyzed, as the analysis can't
  be done twice. Since the state in RangePartition never changes, it
  doesn't need to be reanalyzed and we can just return instead of
  failing on the check.

Testing:
- Added an e2e test that creates a partitioned Kudu table with a CTAS
  with a rewrite, and checks that the expected partitions are created.

Change-Id: I731743bd84cc695119e99342e1b155096147f0ed
Reviewed-on: http://gerrit.cloudera.org:8080/10251
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2018-05-02 02:54:23 +00:00
2017-09-18 19:35:28 +00:00
2018-01-12 21:38:38 +00:00
2018-04-25 20:52:42 +00:00

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, downloaded from S3, or can be built with an in-place toolchain located in the thirdparty directory (not recommended). 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
Location Purpose
bin/impala-config.sh This script must be sourced to setup all environment variables properly to allow other scripts to work
bin/impala-config-local.sh A script can be created in this location to set local overrides for any environment variables
bin/impala-config-branch.sh A version of the above that can be checked into a branch for convenience.
bin/bootstrap_build.sh A helper script to bootstrap some of the build requirements.
bin/bootstrap_development.sh A 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.
Environment variable Default value Description
IMPALA_HOME Top level Impala directory
IMPALA_TOOLCHAIN "${IMPALA_HOME}/toolchain" Native toolchain directory (for compilers, libraries, etc.)
SKIP_TOOLCHAIN_BOOTSTRAP "false" Skips downloading the toolchain any python dependencies if "true"
CDH_COMPONENTS_HOME "${IMPALA_HOME}/toolchain/cdh_components" OR "${IMPALA_HOME}/thirdparty" (if detected) If a thirdparty directory is present, components found here will override anything in IMPALA_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 "${JAVA_HOME}/bin/java" Java binary location.
CLASSPATH See bin/set-classpath.sh for details.
PYTHONPATH Will be changed to include: "${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-0.1.14/dist/sqlparse-0.1.14-py2
Source Directories for Impala
Environment variable Default value Description
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 "${IMPALA_HOME}/common" Common code (thrift, function registry)
Various Compilation Settings
Environment variable Default value Description
IMPALA_BUILD_THREADS "8" or set to number of processors by default. Used for make -j and distcc -j settings.
IMPALA_MAKE_FLAGS "" Any extra settings to pass to make. Also used when copying udfs / udas into HDFS.
USE_SYSTEM_GCC "0" If set to any other value, directs cmake to not set GCC_ROOT, CMAKE_C_COMPILER, CMAKE_CXX_COMPILER, as well as setting TOOLCHAIN_LINK_FLAGS
IMPALA_CXX_COMPILER "default" Used by cmake (cmake_modules/toolchain and clang_toolchain.cmake) to select gcc / clang
USE_GOLD_LINKER "true" Directs backend cmake to use gold.
IS_OSX "false" (Experimental) currently only used to disable Kudu.
Dependencies
Environment variable Default value Description
HADOOP_HOME "${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-${IMPALA_HIVE_VERSION}/"
HIVE_SRC_DIR "${HIVE_HOME}/src" Used to find Hive thrift files.
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}"
Description
Apache Impala
Readme 257 MiB
Languages
C++ 49.3%
Java 30.4%
Python 14.5%
JavaScript 1.3%
C 1.2%
Other 3.2%