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[MINOR][DOC] Update deprecation notes on Python/Hadoop/Scala.

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## What changes were proposed in this pull request?

We had better update the deprecation notes about Python 2.6, Hadoop (before 2.6.5) and Scala 2.10 in [2.2.0-RC4](http://people.apache.org/~pwendell/spark-releases/spark-2.2.0-rc4-docs/) documentation. Since this is a doc only update, I think we can update the doc during publishing.

**BEFORE (2.2.0-RC4)**
    ![before](https://cloud.githubusercontent.com/assets/9700541/26799758/aea0dc06-49eb-11e7-8ca3-ed8ce1cc6147.png)

**AFTER**
    ![after](https://cloud.githubusercontent.com/assets/9700541/26799761/b3fef818-49eb-11e7-83c5-334f0e4768ed.png)

## How was this patch tested?

Manual.
```
SKIP_API=1 jekyll build
```

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #18207 from dongjoon-hyun/minor_doc_deprecation.
This commit is contained in:
Dongjoon Hyun 2017-06-07 08:50:36 +01:00 committed by Sean Owen
parent cb83ca1433
commit 3218505a0b
1 changed files with 3 additions and 5 deletions
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@ -26,15 +26,13 @@ Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). It's easy
locally on one machine --- all you need is to have `java` installed on your system `PATH`,
or the `JAVA_HOME` environment variable pointing to a Java installation.
Spark runs on Java 8+, Python 2.6+/3.4+ and R 3.1+. For the Scala API, Spark {{site.SPARK_VERSION}}
Spark runs on Java 8+, Python 2.7+/3.4+ and R 3.1+. For the Scala API, Spark {{site.SPARK_VERSION}}
uses Scala {{site.SCALA_BINARY_VERSION}}. You will need to use a compatible Scala version
({{site.SCALA_BINARY_VERSION}}.x).
Note that support for Java 7 was removed as of Spark 2.2.0.
Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark 2.2.0.
Note that support for Python 2.6 is deprecated as of Spark 2.0.0, and support for
Scala 2.10 and versions of Hadoop before 2.6 are deprecated as of Spark 2.1.0, and may be
removed in Spark 2.2.0.
Note that support for Scala 2.10 is deprecated as of Spark 2.1.0, and may be removed in Spark 2.3.0.
# Running the Examples and Shell