The same execution engine is used, independent of which API/language you are using to express theĬomputation. Interact with Spark SQL including SQL and the Dataset API. Spark SQL uses this extra information to perform extra optimizations. Unlike the basic Spark RDD API, the interfaces providedīy Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. Spark SQL is a Spark module for structured data processing. UDF Registration Moved to sqlContext.udf (Java & Scala).Removal of the type aliases in for DataType (Scala-only).Isolation of Implicit Conversions and Removal of dsl Package (Scala-only).Upgrading from Spark SQL 1.0-1.2 to 1.3.Behavior change on DataFrame.withColumn.Interacting with Different Versions of Hive Metastore.Specifying storage format for Hive tables.Hive metastore Parquet table conversion.Type-Safe User-Defined Aggregate Functions.Untyped User-Defined Aggregate Functions.Untyped Dataset Operations (aka DataFrame Operations).
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