Object

org.apache.spark.sql.execution.datasources

FileFormatWriter

Related Doc: package datasources

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object FileFormatWriter extends Logging

A helper object for writing FileFormat data out to a location.

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  1. case class OutputSpec(outputPath: String, customPartitionLocations: Map[TablePartitionSpec, String]) extends Product with Serializable

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    Describes how output files should be placed in the filesystem.

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  35. final def wait(arg0: Long): Unit

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  36. def write(sparkSession: SparkSession, queryExecution: QueryExecution, fileFormat: FileFormat, committer: FileCommitProtocol, outputSpec: OutputSpec, hadoopConf: Configuration, partitionColumns: Seq[Attribute], bucketSpec: Option[BucketSpec], refreshFunction: (Seq[TablePartitionSpec]) ⇒ Unit, options: Map[String, String]): Unit

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    Basic work flow of this command is: 1.

    Basic work flow of this command is: 1. Driver side setup, including output committer initialization and data source specific preparation work for the write job to be issued. 2. Issues a write job consists of one or more executor side tasks, each of which writes all rows within an RDD partition. 3. If no exception is thrown in a task, commits that task, otherwise aborts that task; If any exception is thrown during task commitment, also aborts that task. 4. If all tasks are committed, commit the job, otherwise aborts the job; If any exception is thrown during job commitment, also aborts the job.

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