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https://issues.apache.org/jira/browse/SPARK-27977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877918#comment-16877918
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Gabor Somogyi commented on SPARK-27977:
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Yeah, the latest master looks like:
{code:java}
== Parsed Logical Plan ==
WriteToDataSourceV2
org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@3de866af
+- StreamingDataSourceV2Relation [value#1],
org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@74fd5bf3,
MemoryStream[value#1], 1, 2
== Analyzed Logical Plan ==
WriteToDataSourceV2
org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@3de866af
+- StreamingDataSourceV2Relation [value#1],
org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@74fd5bf3,
MemoryStream[value#1], 1, 2
== Optimized Logical Plan ==
WriteToDataSourceV2
org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@3de866af
+- StreamingDataSourceV2Relation [value#1],
org.apache.spark.sql.execution.streaming.MemoryStreamScanBuilder@74fd5bf3,
MemoryStream[value#1], 1, 2
== Physical Plan ==
WriteToDataSourceV2
org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@3de866af
+- *(1) Project [value#1]
+- *(1) MicroBatchScan[value#1] MemoryStreamDataSource
{code}
> MicroBatchWriter should use StreamWriter for human-friendly textual
> representation (toString)
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-27977
> URL: https://issues.apache.org/jira/browse/SPARK-27977
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.0.0
> Reporter: Jacek Laskowski
> Priority: Minor
>
> The following is a extended explain for a streaming query:
> {code}
> == Parsed Logical Plan ==
> WriteToDataSourceV2
> org.apache.spark.sql.execution.streaming.sources.MicroBatchWriter@4737caef
> +- Project [value#39 AS value#0]
> +- Streaming RelationV2 socket[value#39] (Options:
> [host=localhost,port=8888])
> == Analyzed Logical Plan ==
> WriteToDataSourceV2
> org.apache.spark.sql.execution.streaming.sources.MicroBatchWriter@4737caef
> +- Project [value#39 AS value#0]
> +- Streaming RelationV2 socket[value#39] (Options:
> [host=localhost,port=8888])
> == Optimized Logical Plan ==
> WriteToDataSourceV2
> org.apache.spark.sql.execution.streaming.sources.MicroBatchWriter@4737caef
> +- Streaming RelationV2 socket[value#39] (Options: [host=localhost,port=8888])
> == Physical Plan ==
> WriteToDataSourceV2
> org.apache.spark.sql.execution.streaming.sources.MicroBatchWriter@4737caef
> +- *(1) Project [value#39]
> +- *(1) ScanV2 socket[value#39] (Options: [host=localhost,port=8888])
> {code}
> As you may have noticed, {{WriteToDataSourceV2}} is followed by the internal
> representation of {{MicroBatchWriter}} that is a mere adapter for
> {{StreamWriter}}, e.g. {{ConsoleWriter}}.
> It'd be more debugging-friendly if the plans included whatever
> {{StreamWriter.toString}} would (which in case of {{ConsoleWriter}} would be
> {{ConsoleWriter[numRows=..., truncate=...]}} which gives more context).
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