AWS Documentation » AWS Glue » Developer Guide » Programming ETL Scripts » Program AWS Glue ETL Scripts in Scala » List of APIs in the AWS Glue Scala Library » The Abstract DataSink Class

The Abstract DataSink Class

Package:   com.amazonaws.services.glue

abstract class DataSink

A DataSink is the writer analog to a DataSource. It encapsulates a destination and format to which a DynamicFrame can be written.

def writeDynamicFrame

def writeDynamicFrame( frame : DynamicFrame,
                       callSite : CallSite = CallSite("Not provided", "")
                     ) : DynamicFrame

def pyWriteDynamicFrame

def pyWriteDynamicFrame( frame : DynamicFrame,
                         site : String = "Not provided",
                         info : String = "" )

def supportsFormat

def supportsFormat( format : String ) : Boolean

def setFormat

def setFormat( format : String,
               options : JsonOptions
             ) : Unit

def withFormat

def withFormat( format : String,
                options : JsonOptions = JsonOptions.empty
              ) : DataSink 

def setAccumulableSize

def setAccumulableSize( size : Int ) : Unit

def getOutputErrorRecordsAccumulable

def getOutputErrorRecordsAccumulable : Accumulable[List[OutputError], OutputError]

def errorsAsDynamicFrame

def errorsAsDynamicFrame : DynamicFrame

The DataSink Object

object DataSink

def recordMetrics

def recordMetrics( frame : DynamicFrame,
                   ctxt : String
                 ) : DynamicFrame