DataSink Kelas abstrak

Package: com.amazonaws.services.glue

abstract class DataSink

Penulis meng-analog-kan ke DataSource. DataSink merangkum tujuan dan format yang dapat ditulis oleh DynamicFrame.

Def writeDynamicFrame

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

Bingkai Def pyWriteDynamic

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

Def writeDataFrame

def writeDataFrame(frame: DataFrame,
                   glueContext: GlueContext,
                   callSite: CallSite = CallSite("Not provided", "")
                   ): DataFrame

Bingkai Def pyWriteData

def pyWriteDataFrame(frame: DataFrame,
                     glueContext: GlueContext,
                     site: String = "Not provided",
                     info: String = ""
                     ): DataFrame

Def setCatalogInfo

def setCatalogInfo(catalogDatabase: String, 
                   catalogTableName : String, 
                   catalogId : String = "")

SupportsFormat Def

def supportsFormat( format : String ) : Boolean

SetFormat Def

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 getOutputError RecordsAccumulable

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

Bingkai Def errorsAsDynamic

def errorsAsDynamicFrame : DynamicFrame

DataSink objek

object DataSink

Def RecordMetrics

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