# 추상 DataSink 클래스
<a name="glue-etl-scala-apis-glue-datasink-class"></a>

**Topics**
+ [writeDynamicFrame 정의](#glue-etl-scala-apis-glue-datasink-class-defs-writeDynamicFrame)
+ [pyWriteDynamicFrame 정의](#glue-etl-scala-apis-glue-datasink-class-defs-pyWriteDynamicFrame)
+ [Def writeDataFrame](#glue-etl-scala-apis-glue-datasink-class-defs-writeDataFrame)
+ [Def pyWriteDataFrame](#glue-etl-scala-apis-glue-datasink-class-defs-pyWriteDataFrame)
+ [setCatalogInfo 정의](#glue-etl-scala-apis-glue-datasink-class-defs-setCatalogInfo)
+ [supportsFormat 정의](#glue-etl-scala-apis-glue-datasink-class-defs-supportsFormat)
+ [setFormat 정의](#glue-etl-scala-apis-glue-datasink-class-defs-setFormat)
+ [withFormat 정의](#glue-etl-scala-apis-glue-datasink-class-defs-withFormat)
+ [setAccumulableSize 정의](#glue-etl-scala-apis-glue-datasink-class-defs-setAccumulableSize)
+ [getOutputErrorRecordsAccumulable 정의](#glue-etl-scala-apis-glue-datasink-class-defs-getOutputErrorRecordsAccumulable)
+ [errorsAsDynamicFrame 정의](#glue-etl-scala-apis-glue-datasink-class-defs-errorsAsDynamicFrame)
+ [DataSink 객체](#glue-etl-scala-apis-glue-datasink-object)

**패키지:   com.amazonaws.services.glue**

```
abstract class DataSink
```

`DataSource`에 대한 쓰기 아날로그. `DataSink`는 `DynamicFrame`이 기록될 수 있는 대상과 형식을 요약합니다.

## writeDynamicFrame 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-writeDynamicFrame"></a>

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



## pyWriteDynamicFrame 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-pyWriteDynamicFrame"></a>

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



## Def writeDataFrame
<a name="glue-etl-scala-apis-glue-datasink-class-defs-writeDataFrame"></a>

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



## Def pyWriteDataFrame
<a name="glue-etl-scala-apis-glue-datasink-class-defs-pyWriteDataFrame"></a>

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



## setCatalogInfo 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-setCatalogInfo"></a>

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



## supportsFormat 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-supportsFormat"></a>

```
def supportsFormat( format : String ) : Boolean
```



## setFormat 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-setFormat"></a>

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



## withFormat 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-withFormat"></a>

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



## setAccumulableSize 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-setAccumulableSize"></a>

```
def setAccumulableSize( size : Int ) : Unit
```



## getOutputErrorRecordsAccumulable 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-getOutputErrorRecordsAccumulable"></a>

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



## errorsAsDynamicFrame 정의
<a name="glue-etl-scala-apis-glue-datasink-class-defs-errorsAsDynamicFrame"></a>

```
def errorsAsDynamicFrame : DynamicFrame
```



## DataSink 객체
<a name="glue-etl-scala-apis-glue-datasink-object"></a>

```
object DataSink
```

### recordMetrics 정의
<a name="glue-etl-scala-apis-glue-datasink-object-defs-recordMetrics"></a>

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