[SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web site

## What changes were proposed in this pull request?

Updates links to the wiki to links to the new location of content on spark.apache.org.

## How was this patch tested?

Doc builds

Author: Sean Owen <[email protected]>

Closes apache#15967 from srowen/SPARK-18073.1.

Author: srowen

.github/PULL_REQUEST_TEMPLATE

@@ -7,4 +7,4 @@
 (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
 (If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
 
-Please review https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark before opening a pull request.
+Please review http://spark.apache.org/contributing.html before opening a pull request.

CONTRIBUTING.md

@@ -1,12 +1,12 @@
 ## Contributing to Spark
 
 *Before opening a pull request*, review the 
-[Contributing to Spark wiki](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark). 
+[Contributing to Spark guide](http://spark.apache.org/contributing.html). 
 It lists steps that are required before creating a PR. In particular, consider:
 
 - Is the change important and ready enough to ask the community to spend time reviewing?
 - Have you searched for existing, related JIRAs and pull requests?
-- Is this a new feature that can stand alone as a [third party project](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects) ?
+- Is this a new feature that can stand alone as a [third party project](http://spark.apache.org/third-party-projects.html) ?
 - Is the change being proposed clearly explained and motivated?
 
 When you contribute code, you affirm that the contribution is your original work and that you 

R/README.md

@@ -51,7 +51,7 @@ sparkR.session()
 
 #### Making changes to SparkR
 
-The [instructions](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark) for making contributions to Spark also apply to SparkR.
+The [instructions](http://spark.apache.org/contributing.html) for making contributions to Spark also apply to SparkR.
 If you only make R file changes (i.e. no Scala changes) then you can just re-install the R package using `R/install-dev.sh` and test your changes.
 Once you have made your changes, please include unit tests for them and run existing unit tests using the `R/run-tests.sh` script as described below.
 

R/pkg/DESCRIPTION

@@ -11,7 +11,7 @@ Authors@R: c(person("Shivaram", "Venkataraman", role = c("aut", "cre"),
                     email = "[email protected]"),
              person(family = "The Apache Software Foundation", role = c("aut", "cph")))
 URL: http://www.apache.org/ http://spark.apache.org/
-BugReports: https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-ContributingBugReports
+BugReports: http://spark.apache.org/contributing.html
 Depends:
     R (>= 3.0),
     methods

README.md

@@ -29,8 +29,9 @@ To build Spark and its example programs, run:
 You can build Spark using more than one thread by using the -T option with Maven, see ["Parallel builds in Maven 3"](https://cwiki.apache.org/confluence/display/MAVEN/Parallel+builds+in+Maven+3).
 More detailed documentation is available from the project site, at
 ["Building Spark"](http://spark.apache.org/docs/latest/building-spark.html).
-For developing Spark using an IDE, see [Eclipse](https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools#UsefulDeveloperTools-Eclipse)
-and [IntelliJ](https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools#UsefulDeveloperTools-IntelliJ).
+
+For general development tips, including info on developing Spark using an IDE, see 
+[http://spark.apache.org/developer-tools.html](the Useful Developer Tools page).
 
 ## Interactive Scala Shell
 
@@ -80,7 +81,7 @@ can be run using:
     ./dev/run-tests
 
 Please see the guidance on how to
-[run tests for a module, or individual tests](https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools).
+[run tests for a module, or individual tests](http://spark.apache.org/developer-tools.html#individual-tests).
 
 ## A Note About Hadoop Versions
 
@@ -100,5 +101,5 @@ in the online documentation for an overview on how to configure Spark.
 
 ## Contributing
 
-Please review the [Contribution to Spark](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark)
-wiki for information on how to get started contributing to the project.
+Please review the [Contribution to Spark guide](http://spark.apache.org/contributing.html)
+for information on how to get started contributing to the project.

dev/checkstyle.xml

@@ -28,7 +28,7 @@
 
     with Spark-specific changes from:
 
-    https://cwiki.apache.org/confluence/display/SPARK/Spark+Code+Style+Guide
+    http://spark.apache.org/contributing.html#code-style-guide
 
     Checkstyle is very configurable. Be sure to read the documentation at
     http://checkstyle.sf.net (or in your downloaded distribution).

docs/_layouts/global.html

@@ -113,8 +113,8 @@
                                 <li><a href="hardware-provisioning.html">Hardware Provisioning</a></li>
                                 <li class="divider"></li>
                                 <li><a href="building-spark.html">Building Spark</a></li>
-                                <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark">Contributing to Spark</a></li>
-                                <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects">Third Party Projects</a></li>
+                                <li><a href="http://spark.apache.org/contributing.html">Contributing to Spark</a></li>
+                                <li><a href="http://spark.apache.org/third-party-projects.html">Third Party Projects</a></li>
                             </ul>
                         </li>
                     </ul>

docs/building-spark.md

@@ -197,7 +197,7 @@ can be set to control the SBT build. For example:
 To avoid the overhead of launching sbt each time you need to re-compile, you can launch sbt
 in interactive mode by running `build/sbt`, and then run all build commands at the command
 prompt. For more recommendations on reducing build time, refer to the
-[wiki page](https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools#UsefulDeveloperTools-ReducingBuildTimes).
+[Useful Developer Tools page](http://spark.apache.org/developer-tools.html).
 
 ## Encrypted Filesystems
 
@@ -215,7 +215,7 @@ to the `sharedSettings` val. See also [this PR](https://github.com/apache/spark/
 ## IntelliJ IDEA or Eclipse
 
 For help in setting up IntelliJ IDEA or Eclipse for Spark development, and troubleshooting, refer to the
-[wiki page for IDE setup](https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools#UsefulDeveloperTools-IDESetup).
+[Useful Developer Tools page](http://spark.apache.org/developer-tools.html).
 
 
 # Running Tests

docs/contributing-to-spark.md

@@ -5,4 +5,4 @@ title: Contributing to Spark
 
 The Spark team welcomes all forms of contributions, including bug reports, documentation or patches.
 For the newest information on how to contribute to the project, please read the
-[wiki page on contributing to Spark](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark).
+[Contributing to Spark guide](http://spark.apache.org/contributing.html).

docs/index.md

@@ -125,8 +125,8 @@ options for deployment:
 * Integration with other storage systems:
   * [OpenStack Swift](storage-openstack-swift.html)
 * [Building Spark](building-spark.html): build Spark using the Maven system
-* [Contributing to Spark](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark)
-* [Third Party Projects](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects): related third party Spark projects
+* [Contributing to Spark](http://spark.apache.org/contributing.html)
+* [Third Party Projects](http://spark.apache.org/third-party-projects.html): related third party Spark projects
 
 **External Resources:**
 

docs/sparkr.md

@@ -126,7 +126,7 @@ head(df)
 SparkR supports operating on a variety of data sources through the `SparkDataFrame` interface. This section describes the general methods for loading and saving data using Data Sources. You can check the Spark SQL programming guide for more [specific options](sql-programming-guide.html#manually-specifying-options) that are available for the built-in data sources.
 
 The general method for creating SparkDataFrames from data sources is `read.df`. This method takes in the path for the file to load and the type of data source, and the currently active SparkSession will be used automatically.
-SparkR supports reading JSON, CSV and Parquet files natively, and through packages available from sources like [Third Party Projects](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects), you can find data source connectors for popular file formats like Avro. These packages can either be added by
+SparkR supports reading JSON, CSV and Parquet files natively, and through packages available from sources like [Third Party Projects](http://spark.apache.org/third-party-projects.html), you can find data source connectors for popular file formats like Avro. These packages can either be added by
 specifying `--packages` with `spark-submit` or `sparkR` commands, or if initializing SparkSession with `sparkPackages` parameter when in an interactive R shell or from RStudio.
 
 <div data-lang="r" markdown="1">

docs/streaming-programming-guide.md

@@ -2382,7 +2382,7 @@ additional effort may be necessary to achieve exactly-once semantics. There are
     - [Kafka Integration Guide](streaming-kafka-integration.html)
     - [Kinesis Integration Guide](streaming-kinesis-integration.html)
     - [Custom Receiver Guide](streaming-custom-receivers.html)
-* Third-party DStream data sources can be found in [Third Party Projects](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects)
+* Third-party DStream data sources can be found in [Third Party Projects](http://spark.apache.org/third-party-projects.html)
 * API documentation
   - Scala docs
     * [StreamingContext](api/scala/index.html#org.apache.spark.streaming.StreamingContext) and

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala

@@ -505,12 +505,11 @@ object DataSource {
                   provider1 == "com.databricks.spark.avro") {
                   throw new AnalysisException(
                     s"Failed to find data source: ${provider1.toLowerCase}. Please find an Avro " +
-                      "package at " +
-                      "https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects")
+                      "package at http://spark.apache.org/third-party-projects.html")
                 } else {
                   throw new ClassNotFoundException(
                     s"Failed to find data source: $provider1. Please find packages at " +
-                      "https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects",
+                      "http://spark.apache.org/third-party-projects.html",
                     error)
                 }
             }