History

Kazuaki Ishizaki 1a5e460762 [SPARK-23913][SQL] Add array_intersect function ## What changes were proposed in this pull request? The PR adds the SQL function `array_intersect`. The behavior of the function is based on Presto's one. This function returns returns an array of the elements in the intersection of array1 and array2. Note: The order of elements in the result is not defined. ## How was this patch tested? Added UTs Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com> Closes #21102 from kiszk/SPARK-23913.		2018-08-06 23:27:57 +09:00
..
docs	[SPARK-24530][PYTHON] Add a control to force Python version in Sphinx via environment variable, SPHINXPYTHON	2018-07-11 10:10:07 +08:00
lib	[PYSPARK] Update py4j to version 0.10.7.	2018-05-09 10:47:35 -07:00
pyspark	[SPARK-23913][SQL] Add array_intersect function	2018-08-06 23:27:57 +09:00
test_coverage	[SPARK-7721][PYTHON][TESTS] Adds PySpark coverage generation script	2018-01-22 22:12:50 +09:00
test_support	[SPARK-23094][SPARK-23723][SPARK-23724][SQL] Support custom encoding for json files	2018-04-29 11:25:31 +08:00
.coveragerc	[SPARK-7721][PYTHON][TESTS] Adds PySpark coverage generation script	2018-01-22 22:12:50 +09:00
.gitignore	[SPARK-3946] gitignore in /python includes wrong directory	2014-10-14 14:09:39 -07:00
MANIFEST.in	[SPARK-18652][PYTHON] Include the example data and third-party licenses in pyspark package.	2016-12-07 06:09:27 +08:00
pylintrc	[SPARK-13596][BUILD] Move misc top-level build files into appropriate subdirs	2016-03-07 14:48:02 -08:00
README.md	[PYSPARK] Update py4j to version 0.10.7.	2018-05-09 10:47:35 -07:00
run-tests	[SPARK-8583] [SPARK-5482] [BUILD] Refactor python/run-tests to integrate with dev/run-tests module system	2015-06-27 20:24:34 -07:00
run-tests-with-coverage	[SPARK-7721][PYTHON][TESTS] Adds PySpark coverage generation script	2018-01-22 22:12:50 +09:00
run-tests.py	[SPARK-24126][PYSPARK] Use build-specific temp directory for pyspark tests.	2018-05-07 13:00:18 +08:00
setup.cfg	[SPARK-1267][SPARK-18129] Allow PySpark to be pip installed	2016-11-16 14:22:15 -08:00
setup.py	[SPARK-24739][PYTHON] Make PySpark compatible with Python 3.7	2018-07-07 11:37:41 +08:00

README.md

Apache Spark

Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Spark Streaming for stream processing.

http://spark.apache.org/

Online Documentation

You can find the latest Spark documentation, including a programming guide, on the project web page

Python Packaging

This README file only contains basic information related to pip installed PySpark. This packaging is currently experimental and may change in future versions (although we will do our best to keep compatibility). Using PySpark requires the Spark JARs, and if you are building this from source please see the builder instructions at "Building Spark".

The Python packaging for Spark is not intended to replace all of the other use cases. This Python packaged version of Spark is suitable for interacting with an existing cluster (be it Spark standalone, YARN, or Mesos) - but does not contain the tools required to set up your own standalone Spark cluster. You can download the full version of Spark from the Apache Spark downloads page.

NOTE: If you are using this with a Spark standalone cluster you must ensure that the version (including minor version) matches or you may experience odd errors.

Python Requirements

At its core PySpark depends on Py4J (currently version 0.10.7), but some additional sub-packages have their own extra requirements for some features (including numpy, pandas, and pyarrow).