8d5bb5283c
Adds '.', '-', and intercept parsing to RFormula. Also splits RFormulaParser into a separate file. Umbrella design doc here: https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit?usp=sharing mengxr Author: Eric Liang <ekl@databricks.com> Closes #7707 from ericl/string-features-2 and squashes the following commits: 8588625 [Eric Liang] exclude complex types for . 8106ffe [Eric Liang] comments a9350bb [Eric Liang] s/var/val 9c50d4d [Eric Liang] Merge branch 'string-features' into string-features-2 581afb2 [Eric Liang] Merge branch 'master' into string-features 08ae539 [Eric Liang] Merge branch 'string-features' into string-features-2 f99131a [Eric Liang] comments cecec43 [Eric Liang] Merge branch 'string-features' into string-features-2 0bf3c26 [Eric Liang] update docs 4592df2 [Eric Liang] intercept supports 7412a2e [Eric Liang] Fri Jul 24 14:56:51 PDT 2015 3cf848e [Eric Liang] fix the parser 0556c2b [Eric Liang] Merge branch 'string-features' into string-features-2 c302a2c [Eric Liang] fix tests 9d1ac82 [Eric Liang] Merge remote-tracking branch 'upstream/master' into string-features e713da3 [Eric Liang] comments cd231a9 [Eric Liang] Wed Jul 22 17:18:44 PDT 2015 4d79193 [Eric Liang] revert to seq + distinct 169a085 [Eric Liang] tweak functional test a230a47 [Eric Liang] Merge branch 'master' into string-features 72bd6f3 [Eric Liang] fix merge d841cec [Eric Liang] Merge branch 'master' into string-features 5b2c4a2 [Eric Liang] Mon Jul 20 18:45:33 PDT 2015 b01c7c5 [Eric Liang] add test 8a637db [Eric Liang] encoder wip a1d03f4 [Eric Liang] refactor into estimator |
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tox.ini |
Apache Spark
Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, and Python, 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.
Online Documentation
You can find the latest Spark documentation, including a programming guide, on the project web page and project wiki. This README file only contains basic setup instructions.
Building Spark
Spark is built using Apache Maven. To build Spark and its example programs, run:
build/mvn -DskipTests clean package
(You do not need to do this if you downloaded a pre-built package.) More detailed documentation is available from the project site, at "Building Spark".
Interactive Scala Shell
The easiest way to start using Spark is through the Scala shell:
./bin/spark-shell
Try the following command, which should return 1000:
scala> sc.parallelize(1 to 1000).count()
Interactive Python Shell
Alternatively, if you prefer Python, you can use the Python shell:
./bin/pyspark
And run the following command, which should also return 1000:
>>> sc.parallelize(range(1000)).count()
Example Programs
Spark also comes with several sample programs in the examples
directory.
To run one of them, use ./bin/run-example <class> [params]
. For example:
./bin/run-example SparkPi
will run the Pi example locally.
You can set the MASTER environment variable when running examples to submit
examples to a cluster. This can be a mesos:// or spark:// URL,
"yarn-cluster" or "yarn-client" to run on YARN, and "local" to run
locally with one thread, or "local[N]" to run locally with N threads. You
can also use an abbreviated class name if the class is in the examples
package. For instance:
MASTER=spark://host:7077 ./bin/run-example SparkPi
Many of the example programs print usage help if no params are given.
Running Tests
Testing first requires building Spark. Once Spark is built, tests can be run using:
./dev/run-tests
Please see the guidance on how to run tests for a module, or individual tests.
A Note About Hadoop Versions
Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs.
Please refer to the build documentation at "Specifying the Hadoop Version" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions. See also "Third Party Hadoop Distributions" for guidance on building a Spark application that works with a particular distribution.
Configuration
Please refer to the Configuration guide in the online documentation for an overview on how to configure Spark.