Apache Spark - A unified analytics engine for large-scale data processing
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beliefer 8f2b6f3a0b [SPARK-31393][SQL][FOLLOW-UP] Show the correct alias in schema for expression
### What changes were proposed in this pull request?
Some alias of expression can not display correctly in schema. This PR will fix them.
- `ln`
- `rint`
- `lcase`
- `position`

### Why are the changes needed?
Improve the implement of some expression.

### Does this PR introduce _any_ user-facing change?
 'Yes'. This PR will let user see the correct alias in schema.

### How was this patch tested?
Jenkins test.

Closes #28551 from beliefer/show-correct-alias-in-schema.

Lead-authored-by: beliefer <beliefer@163.com>
Co-authored-by: gengjiaan <gengjiaan@360.cn>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-05-27 15:05:06 +09:00
.github [MINOR][INFRA] Add a guide to clarify release/unreleased Spark versions of user-facing change in the Github PR template 2020-04-30 09:22:07 +09:00
assembly [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
bin [SPARK-31401][K8S] Show JDK11 usage in bin/docker-image-tool.sh 2020-04-09 21:36:26 -07:00
build [SPARK-31041][BUILD] Show Maven errors from within make-distribution.sh 2020-03-11 08:22:02 -05:00
common Revert "[SPARK-31756][WEBUI] Add real headless browser support for UI test 2020-05-24 09:13:38 +09:00
conf [SPARK-31759][DEPLOY] Support configurable max number of rotate logs for spark daemons 2020-05-20 19:18:05 +09:00
core Revert "[SPARK-31756][WEBUI] Add real headless browser support for UI test 2020-05-24 09:13:38 +09:00
data [SPARK-22666][ML][SQL] Spark datasource for image format 2018-09-05 11:59:00 -07:00
dev [SPARK-31821][BUILD] Remove mssql-jdbc dependencies from Hadoop 3.2 profile 2020-05-26 18:21:22 -07:00
docs [SPARK-31792][SS][DOCS] Introduce the structured streaming UI in the Web UI doc 2020-05-26 14:27:42 +09:00
examples [SPARK-31708][ML][DOCS] Add docs and examples for ANOVASelector and FValueSelector 2020-05-15 09:59:14 -05:00
external [SPARK-31706][SQL] add back the support of streaming update mode 2020-05-20 03:45:13 +00:00
graphx [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
hadoop-cloud [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
launcher [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
licenses [SPARK-31420][WEBUI] Infinite timeline redraw in job details page 2020-04-13 23:23:00 -07:00
licenses-binary [SPARK-31420][WEBUI] Infinite timeline redraw in job details page 2020-04-13 23:23:00 -07:00
mllib [SPARK-31734][ML][PYSPARK] Add weight support in ClusteringEvaluator 2020-05-25 09:18:08 -05:00
mllib-local [SPARK-30699][ML][PYSPARK] GMM blockify input vectors 2020-05-12 12:54:03 +08:00
project [SPARK-31127][ML] Implement abstract Selector 2020-05-06 16:10:30 +08:00
python Revert "[SPARK-31788][CORE][PYTHON] Fix UnionRDD of PairRDDs" 2020-05-27 10:15:33 +09:00
R [SPARK-31701][R][SQL] Bump up the minimum Arrow version as 0.15.1 in SparkR 2020-05-13 10:03:12 -07:00
repl [SPARK-31399][CORE][TEST-HADOOP3.2][TEST-JAVA11] Support indylambda Scala closure in ClosureCleaner 2020-05-18 05:32:57 +00:00
resource-managers [SPARK-31786][K8S][BUILD] Upgrade kubernetes-client to 4.9.2 2020-05-23 11:07:45 -07:00
sbin [SPARK-31759][DEPLOY] Support configurable max number of rotate logs for spark daemons 2020-05-20 19:18:05 +09:00
sql [SPARK-31393][SQL][FOLLOW-UP] Show the correct alias in schema for expression 2020-05-27 15:05:06 +09:00
streaming Revert "[SPARK-31765][WEBUI] Upgrade HtmlUnit >= 2.37.0" 2020-05-21 16:00:58 -07:00
tools [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00
.asf.yaml [SPARK-31352] Add .asf.yaml to control Github settings 2020-04-06 09:06:01 -05:00
.gitattributes [SPARK-30653][INFRA][SQL] EOL character enforcement for java/scala/xml/py/R files 2020-01-27 10:20:51 -08:00
.gitignore Revert "[SPARK-30879][DOCS] Refine workflow for building docs" 2020-03-31 16:11:59 +09:00
appveyor.yml [SPARK-31744][R][INFRA] Remove Hive dependency in AppVeyor build temporarily 2020-05-17 21:31:06 -07:00
CONTRIBUTING.md [MINOR][DOCS] Tighten up some key links to the project and download pages to use HTTPS 2019-05-21 10:56:42 -07:00
LICENSE [SPARK-29674][CORE] Update dropwizard metrics to 4.1.x for JDK 9+ 2019-11-03 15:13:06 -08:00
LICENSE-binary [SPARK-30695][BUILD] Upgrade Apache ORC to 1.5.9 2020-01-31 17:41:27 -08:00
NOTICE [SPARK-29674][CORE] Update dropwizard metrics to 4.1.x for JDK 9+ 2019-11-03 15:13:06 -08:00
NOTICE-binary [SPARK-29674][CORE] Update dropwizard metrics to 4.1.x for JDK 9+ 2019-11-03 15:13:06 -08:00
pom.xml [SPARK-31821][BUILD] Remove mssql-jdbc dependencies from Hadoop 3.2 profile 2020-05-26 18:21:22 -07:00
README.md [MINOR][DOCS] Fix Jenkins build image and link in README.md 2020-01-20 23:08:24 -08:00
scalastyle-config.xml [SPARK-30030][INFRA] Use RegexChecker instead of TokenChecker to check org.apache.commons.lang. 2019-11-25 12:03:15 -08:00

Apache Spark

Spark is a unified analytics engine for large-scale data processing. 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 Structured Streaming for stream processing.

https://spark.apache.org/

Jenkins Build AppVeyor Build PySpark Coverage

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.)

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 1,000,000,000:

scala> spark.range(1000 * 1000 * 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 1,000,000,000:

>>> spark.range(1000 * 1000 * 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.