Apache Spark
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rxin and gatorsmile [SPARK-26368][SQL] Make it clear that getOrInferFileFormatSchema does…
…n't create InMemoryFileIndex

## What changes were proposed in this pull request?
I was looking at the code and it was a bit difficult to see the life cycle of InMemoryFileIndex passed into getOrInferFileFormatSchema, because once it is passed in, and another time it was created in getOrInferFileFormatSchema. It'd be easier to understand the life cycle if we move the creation of it out.

## How was this patch tested?
This is a simple code move and should be covered by existing tests.

Closes #23317 from rxin/SPARK-26368.

Authored-by: Reynold Xin <rxin@databricks.com>
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
Latest commit 2d8838d Dec 14, 2018
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.github [SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web site Nov 23, 2016
R [MINOR][R] Fix indents of sparkR welcome message to be consistent wit… Dec 13, 2018
assembly [SPARK-26134][CORE] Upgrading Hadoop to 2.7.4 to fix java.version pro… Nov 22, 2018
bin [SPARK-26083][K8S] Add Copy pyspark into corresponding dir cmd in pys… Dec 3, 2018
build [SPARK-26144][BUILD] `build/mvn` should detect `scala.version` based … Nov 22, 2018
common [SPARK-26021][SQL][FOLLOWUP] only deal with NaN and -0.0 in UnsafeWriter Dec 8, 2018
conf [SPARK-22466][SPARK SUBMIT] export SPARK_CONF_DIR while conf is default Nov 9, 2017
core [SPARK-26098][WEBUI] Show associated SQL query in Job page Dec 13, 2018
data [SPARK-22666][ML][SQL] Spark datasource for image format Sep 5, 2018
dev [SPARK-24958][CORE] Add memory from procfs to executor metrics. Dec 10, 2018
docs [SPARK-26322][SS] Add spark.kafka.sasl.token.mechanism to ease delega… Dec 13, 2018
examples [SPARK-19827][R][FOLLOWUP] spark.ml R API for PIC Dec 12, 2018
external [SPARK-26360] remove redundant validateQuery call Dec 14, 2018
graphx [GRAPHX] Remove unused variables left over by previous refactoring. Nov 22, 2018
hadoop-cloud [SPARK-25956] Make Scala 2.12 as default Scala version in Spark 3.0 Nov 15, 2018
launcher [SPARK-24243][CORE] Expose exceptions from InProcessAppHandle Dec 7, 2018
licenses-binary [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
licenses [SPARK-24654][BUILD] Update, fix LICENSE and NOTICE, and specialize f… Jul 1, 2018
mllib-local [SPARK-22450][WIP][CORE][MLLIB][FOLLOWUP] Safely register Multivariat… Nov 15, 2018
mllib [SPARK-24102][ML][MLLIB] ML Evaluators should use weight column - add… Dec 12, 2018
project [SPARK-24102][ML][MLLIB] ML Evaluators should use weight column - add… Dec 12, 2018
python [SPARK-26364][PYTHON][TESTING] Clean up imports in test_pandas_udf* Dec 14, 2018
repl [SPARK-25956] Make Scala 2.12 as default Scala version in Spark 3.0 Nov 15, 2018
resource-managers [SPARK-25277][YARN] YARN applicationMaster metrics should not registe… Dec 13, 2018
sbin [SPARK-25891][PYTHON] Upgrade to Py4J 0.10.8.1 Oct 31, 2018
sql [SPARK-26368][SQL] Make it clear that getOrInferFileFormatSchema does… Dec 14, 2018
streaming [SPARK-26180][CORE][TEST] Reuse withTempDir function to the SparkCore… Dec 1, 2018
tools [SPARK-25956] Make Scala 2.12 as default Scala version in Spark 3.0 Nov 15, 2018
.gitattributes [SPARK-3870] EOL character enforcement Oct 31, 2014
.gitignore [MINOR][BUILD] Remove *.crc from .gitignore Nov 13, 2018
CONTRIBUTING.md [SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web site Nov 23, 2016
LICENSE [SPARK-24654][BUILD] Update, fix LICENSE and NOTICE, and specialize f… Jul 1, 2018
LICENSE-binary [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
NOTICE [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
NOTICE-binary [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
README.md [DOC] Update some outdated links Sep 4, 2018
appveyor.yml [MINOR][BUILD] Remove -Phive-thriftserver profile within appveyor.yml Jul 30, 2018
pom.xml [SPARK-26266][BUILD] Update to Scala 2.12.8 Dec 8, 2018
scalastyle-config.xml [SPARK-25986][BUILD] Add rules to ban throw Errors in application code Nov 14, 2018

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. 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.)

You can build Spark using more than one thread by using the -T option with Maven, see "Parallel builds in Maven 3". More detailed documentation is available from the project site, at "Building Spark".

For general development tips, including info on developing Spark using an IDE, see "Useful Developer Tools".

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" 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.

There is also a Kubernetes integration test, see resource-managers/kubernetes/integration-tests/README.md

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 and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions.

Configuration

Please refer to the Configuration Guide in the online documentation for an overview on how to configure Spark.

Contributing

Please review the Contribution to Spark guide for information on how to get started contributing to the project.