Trait

org.apache.spark.sql.executionmetrics.pipelineruns

PipelineRunsDAO

Related Doc: package pipelineruns

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trait PipelineRunsDAO extends ExecutionMetricsDAO[PipelineRuns]

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  2. ExecutionMetricsDAO
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Abstract Value Members

  1. abstract def add(uid: Option[String], pipelineURI: String, jobURI: Option[String], jobRunUID: String, taskRunUID: String, status: PipelineStatus, submissionTime: Option[Long], fabricUID: String, timeTaken: Option[Long], rowsRead: Option[Long], rowsWritten: Option[Long], runType: RunType, inputDatasets: Option[List[String]], outputDatasets: Option[List[String]], pipelineCode: RecursiveDirectoryContent, createdBy: String, branch: String): Future[Unit]

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  2. abstract def add(pipelineRuns: PipelineRuns): Future[PipelineRuns]

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  3. abstract def expire(uid: String, filters: Filters): Future[Unit]

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    ExecutionMetricsDAO
  4. abstract def getByID(id: String, filters: Filters, expiredRuns: Boolean = false): Future[PipelineRuns]

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    ExecutionMetricsDAO
  5. abstract def getByIDs(uids: List[String], filters: Filters): Future[List[PipelineRuns]]

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    ExecutionMetricsDAO
  6. abstract def getByJobId(jobUri: String, limit: Int = 100, filters: Filters): Future[Seq[PipelineRuns]]

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  7. abstract def getByPipelineID(pipelineURI: String, limit: Int = 100, filters: Filters): Future[Seq[PipelineRuns]]

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  8. abstract def getByTaskRunJobRunAndJobId(taskRunUID: String, jobRunUID: String, jobURI: Option[String], filters: Filters): Future[PipelineRuns]

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  9. abstract def historicalView(pipelineUID: String, runId: String, updatedBy: String, filters: Filters): Future[PipelineRuns]

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  14. final def synchronized[T0](arg0: ⇒ T0): T0

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  15. def timestampFromLong(time: Option[Long]): Timestamp

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  16. def toString(): String

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  17. final def wait(arg0: Long, arg1: Int): Unit

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

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  19. final def wait(): Unit

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  1. def finalize(): Unit

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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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