org.apache.spark.sql.execution
Overridden by concrete implementations of SparkPlan.
Overridden by concrete implementations of SparkPlan. Produces the result of the query as an RDD[Row]
Returns the result of this query as an RDD[Row] by delegating to doExecute after adding query plan information to created RDDs for visualization.
Returns the result of this query as an RDD[Row] by delegating to doExecute after adding query plan information to created RDDs for visualization. Concrete implementations of SparkPlan should override doExecute instead.
Runs this query returning the result as an array.
Runs this query returning the result as an array.
Runs this query returning the first n rows as an array.
Runs this query returning the first n rows as an array.
This is modeled after RDD.take but never runs any job locally on the driver.
Overridden make copy also propogates sqlContext to copied plan.
Overridden make copy also propogates sqlContext to copied plan.
Specifies how data is ordered in each partition.
Specifies how data is ordered in each partition.
Specifies how data is partitioned across different nodes in the cluster.
Specifies how data is partitioned across different nodes in the cluster.
Specifies any partition requirements on the input data for this operator.
Specifies any partition requirements on the input data for this operator.
Specifies sort order for each partition requirements on the input data for this operator.
Specifies sort order for each partition requirements on the input data for this operator.
A handle to the SQL Context that was used to create this plan.
A handle to the SQL Context that was used to create this plan. Since many operators need access to the sqlContext for RDD operations or configuration this field is automatically populated by the query planning infrastructure.
:: DeveloperApi :: Take the first limit elements as defined by the sortOrder. This is logically equivalent to having a Limit operator after a Sort operator. This could have been named TopK, but Spark's top operator does the opposite in ordering so we name it TakeOrdered to avoid confusion.