public class EvaluatePython
extends org.apache.spark.sql.catalyst.plans.logical.UnaryNode
implements scala.Product, scala.Serializable
PythonUDF, appending the result to the end of the input tuple.| Constructor and Description |
|---|
EvaluatePython(org.apache.spark.sql.execution.PythonUDF udf,
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan child) |
| Modifier and Type | Method and Description |
|---|---|
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan |
child() |
scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> |
output() |
org.apache.spark.sql.catalyst.expressions.AttributeReference |
resultAttribute() |
org.apache.spark.sql.execution.PythonUDF |
udf() |
childrenResolved, inputSet, resolve, resolve, resolveChildren, resolved, statistics, Statisticsexpressions, org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionDown$1, org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionUp$1, outputSet, printSchema, schema, schemaString, transformAllExpressions, transformExpressions, transformExpressionsDown, transformExpressionsUpapply, argString, asCode, collect, fastEquals, flatMap, foreach, generateTreeString, getNodeNumbered, id, makeCopy, map, mapChildren, nextId, nodeName, numberedTreeString, otherCopyArgs, sameInstance, simpleString, stringArgs, toString, transform, transformChildrenDown, transformChildrenUp, transformDown, transformUp, treeString, withNewChildrenpublic EvaluatePython(org.apache.spark.sql.execution.PythonUDF udf,
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan child)
public org.apache.spark.sql.execution.PythonUDF udf()
public org.apache.spark.sql.catalyst.plans.logical.LogicalPlan child()
child in interface org.apache.spark.sql.catalyst.trees.UnaryNode<org.apache.spark.sql.catalyst.plans.logical.LogicalPlan>public org.apache.spark.sql.catalyst.expressions.AttributeReference resultAttribute()
public scala.collection.Seq<org.apache.spark.sql.catalyst.expressions.Attribute> output()
output in class org.apache.spark.sql.catalyst.plans.QueryPlan<org.apache.spark.sql.catalyst.plans.logical.LogicalPlan>