You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yang Jie (Jira)" <ji...@apache.org> on 2022/12/23 03:48:00 UTC

[jira] [Commented] (SPARK-41677) Protobuf serializer for StreamingQueryProgressWrapper

    [ https://issues.apache.org/jira/browse/SPARK-41677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17651476#comment-17651476 ] 

Yang Jie commented on SPARK-41677:
----------------------------------

 
{code:java}
private[sql] class StreamingQueryProgressWrapper(val progress: StreamingQueryProgress) {
  @JsonIgnore @KVIndex
  private val uniqueId: String = getUniqueId(progress.runId, progress.batchId, progress.timestamp)

  @JsonIgnore @KVIndex("runId")
  private def runIdIndex: String = progress.runId.toString
}

class StreamingQueryProgress private[sql](
  val id: UUID,
  val runId: UUID,
  val name: String,
  val timestamp: String,
  val batchId: Long,
  val batchDuration: Long,
  val durationMs: ju.Map[String, JLong],
  val eventTime: ju.Map[String, String],
  val stateOperators: Array[StateOperatorProgress],
  val sources: Array[SourceProgress],
  val sink: SinkProgress,
  @JsonDeserialize(contentAs = classOf[GenericRowWithSchema])
  val observedMetrics: ju.Map[String, Row]) extends Serializable { {code}
 

 

This one is complicated, new to solve how to serialize Row with protobuf

 

> Protobuf serializer for StreamingQueryProgressWrapper
> -----------------------------------------------------
>
>                 Key: SPARK-41677
>                 URL: https://issues.apache.org/jira/browse/SPARK-41677
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.4.0
>            Reporter: Yang Jie
>            Priority: Major
>




--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org