class FileStreamSink extends Sink with Logging
A sink that writes out results to parquet files. Each batch is written out to a unique directory. After all of the files in a batch have been successfully written, the list of file paths is appended to the log atomically. In the case of partial failures, some duplicate data may be present in the target directory, but only one copy of each file will be present in the log.
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-  new FileStreamSink(sparkSession: SparkSession, path: String, fileFormat: FileFormat, partitionColumnNames: Seq[String], options: Map[String, String])
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        addBatch(batchId: Long, data: DataFrame): Unit
      
      
      Adds a batch of data to this sink. Adds a batch of data to this sink. The data for a given batchIdis deterministic and if this method is called more than once with the same batchId (which will happen in the case of failures), thendatashould only be added once.Note 1: You cannot apply any operators on dataexcept consuming it (e.g.,collect/foreach). Otherwise, you may get a wrong result.Note 2: The method is supposed to be executed synchronously, i.e. the method should only return after data is consumed by sink successfully. - Definition Classes
- FileStreamSink → Sink
 
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