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## Upgrading From Spark SQL 1.6 to 2.0
- `SparkSession` is now the new entry point of Spark that replaces the old `SQLContext` and
- `HiveContext`. Note that the old SQLContext and HiveContext are kept for backward compatibility.
+ `HiveContext`. Note that the old SQLContext and HiveContext are kept for backward compatibility. A new `catalog` interface is accessible from `SparkSession` - existing API on databases and tables access such as `listTables`, `createExternalTable`, `dropTempView`, `cacheTable` are moved here.
- Dataset API and DataFrame API are unified. In Scala, `DataFrame` becomes a type alias for
`Dataset[Row]`, while Java API users must replace `DataFrame` with `Dataset<Row>`. Both the typed
@@ -2153,6 +2153,10 @@ options.
APIs. Instead, `DataFrame` remains the primary programing abstraction, which is analogous to the
single-node data frame notion in these languages.
+ - Dataset and DataFrame API `unionAll` has been deprecated and replaced by `union`
+ - Dataset and DataFrame API `explode` has been deprecated, alternatively, use `functions.explode()` with `select` or `flatMap`
+ - Dataset and DataFrame API `registerTempTable` has been deprecated and replaced by `createOrReplaceTempView`
+
## Upgrading From Spark SQL 1.5 to 1.6
- From Spark 1.6, by default the Thrift server runs in multi-session mode. Which means each JDBC/ODBC