IMPALA-8998: admission control accounting for mt_dop

This integrates mt_dop with the "slots" mechanism that's used
for non-default executor groups.

The idea is simple - the degree of parallelism on a backend
determines the number of slots consumed. The effective
degree of parallelism is used, not the raw mt_dop setting.
E.g. if the query only has a single input split and executes
only a single fragment instance on a host, we don't want
to count the full mt_dop value for admission control.

--admission_control_slots is added as a new flag that
replaces --max_concurrent_queries, since the name better
reflects the concept. --max_concurrent_queries is kept
for backwards compatibility and has the same meaning
as --admission_control_slots.

The admission control logic is extended to take this into
account. We also add an immediate rejection code path
since it is now possible for queries to not be admittable
based on the # of available slots.

We only factor in the "width" of the plan - i.e. the number
of instances of fragments. We don't account for the number
of distinct fragments, since they may not actually execute
in parallel with each other because of dependencies.

This number is added to the per-host profile as the
"AdmissionSlots" counter.

Testing:
Added unit tests for rejection and queue/admit checks.

Also includes a fix for IMPALA-9054 where we increase
the timeout.

Added end-to-end tests:
* test_admission_slots in test_mt_dop.py that checks the
  admission slot calculation via the profile.
* End-to-end admission test that exercises the admit
  immediately and queueing code paths.

Added checks to test_verify_metrics (which runs after
end-to-end tests) to ensure that the per-backend
slots in use goes to 0 when the cluster is quiesced.

Change-Id: I7b6b6262ef238df26b491352656a26e4163e46e5
Reviewed-on: http://gerrit.cloudera.org:8080/14357
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
20 files changed
tree: 831891a0db47510b16bd1dd21dcef00819bd40f3
  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}”