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<h2 id="upgrading-to-spark-13">Upgrading to Spark 1.3</h2>
<p>Spark 1.3 is binary compatible with Spark 1.X releases, so no code changes are necessary. This excludes API’s marked explicitly as unstable.</p>
-<p>As part of stabilizing the Spark SQL API, the <code>SchemaRDD</code> class has been extended renamed to <code>DataFrame</code>. Spark SQL&#8217;s <a href="http://spark.apache.org/docs/1.3.0/sql-programming-guide.html#migration-guide">migration guide</a> describes the upgrade process in detail. Spark SQL also now requires that column identifiers which use reserved words (such as &#8220;string&#8221; or &#8220;table&#8221;) be escaped using backticks.</p>
+<p>As part of stabilizing the Spark SQL API, the <code>SchemaRDD</code> class has been renamed to <code>DataFrame</code>. Spark SQL&#8217;s <a href="http://spark.apache.org/docs/1.3.0/sql-programming-guide.html#migration-guide">migration guide</a> describes the upgrade process in detail. Spark SQL also now requires that column identifiers which use reserved words (such as &#8220;string&#8221; or &#8220;table&#8221;) be escaped using backticks.</p>
<h3 id="known-issues">Known Issues</h3>
<p>This release has few known issues which will be addressed in Spark 1.3.1:</p>