Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/22746#discussion_r225780740
--- Diff: docs/sql-getting-started.md ---
@@ -0,0 +1,369 @@
+---
+layout: global
+title: Getting Started
+displayTitle: Getting Started
+---
+
+* Table of contents
+{:toc}
+
+## Starting Point: SparkSession
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+The entry point into all functionality in Spark is the
[`SparkSession`](api/scala/index.html#org.apache.spark.sql.SparkSession) class.
To create a basic `SparkSession`, just use `SparkSession.builder()`:
+
+{% include_example init_session
scala/org/apache/spark/examples/sql/SparkSQLExample.scala %}
+</div>
+
+<div data-lang="java" markdown="1">
+
+The entry point into all functionality in Spark is the
[`SparkSession`](api/java/index.html#org.apache.spark.sql.SparkSession) class.
To create a basic `SparkSession`, just use `SparkSession.builder()`:
+
+{% include_example init_session
java/org/apache/spark/examples/sql/JavaSparkSQLExample.java %}
+</div>
+
+<div data-lang="python" markdown="1">
+
+The entry point into all functionality in Spark is the
[`SparkSession`](api/python/pyspark.sql.html#pyspark.sql.SparkSession) class.
To create a basic `SparkSession`, just use `SparkSession.builder`:
+
+{% include_example init_session python/sql/basic.py %}
+</div>
+
+<div data-lang="r" markdown="1">
+
+The entry point into all functionality in Spark is the
[`SparkSession`](api/R/sparkR.session.html) class. To initialize a basic
`SparkSession`, just call `sparkR.session()`:
+
+{% include_example init_session r/RSparkSQLExample.R %}
+
+Note that when invoked for the first time, `sparkR.session()` initializes
a global `SparkSession` singleton instance, and always returns a reference to
this instance for successive invocations. In this way, users only need to
initialize the `SparkSession` once, then SparkR functions like `read.df` will
be able to access this global instance implicitly, and users don't need to pass
the `SparkSession` instance around.
+</div>
+</div>
+
+`SparkSession` in Spark 2.0 provides builtin support for Hive features
including the ability to
+write queries using HiveQL, access to Hive UDFs, and the ability to read
data from Hive tables.
+To use these features, you do not need to have an existing Hive setup.
+
+## Creating DataFrames
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+With a `SparkSession`, applications can create DataFrames from an
[existing `RDD`](#interoperating-with-rdds),
+from a Hive table, or from [Spark data sources](#data-sources).
--- End diff --
The link `[Spark data sources](#data-sources)` does not work after this
change. Could you fix all the similar cases? Thanks!
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