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SparkSession: new entry point that replaces the old SQLContext and HiveContext for DataFrame and Dataset APIs.

In Python and R, given the lack of type safety, DataFrame is the main programming interface. DataFrame is just a type alias for Dataset of Row.

Unifying DataFrame and Dataset: In Scala and Java, DataFrame and Dataset have been unified, i.e.One of the largest changes in Spark 2.0 is the new updated APIs: They are documented in the Removals, Behavior Changes and Deprecations section. Although the APIs have stayed largely similar to 1.X, Spark 2.0.0 does have API breaking changes. Spark is guaranteeing stability of its non-experimental APIs for all 2.X releases. Removals, Behavior Changes and DeprecationsĪpache Spark 2.0.0 is the first release in the 2.X major line.We have curated a list of high level changes here, grouped by major modules. You can consult JIRA for the detailed changes. To download Apache Spark 2.0.0, visit the downloads page. In addition, this release includes over 2500 patches from over 300 contributors. The major updates are API usability, SQL 2003 support, performance improvements, structured streaming, R UDF support, as well as operational improvements. Apache Spark 2.0.0 is the first release on the 2.x line.

Download the new version for windows Zhan Lang 2