You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Jacek Laskowski (JIRA)" <ji...@apache.org> on 2019/06/07 10:01:00 UTC
[jira] [Created] (SPARK-27975) ConsoleSink should display alias and
options for streaming progress
Jacek Laskowski created SPARK-27975:
---------------------------------------
Summary: ConsoleSink should display alias and options for streaming progress
Key: SPARK-27975
URL: https://issues.apache.org/jira/browse/SPARK-27975
Project: Spark
Issue Type: Improvement
Components: Structured Streaming
Affects Versions: 2.4.3
Reporter: Jacek Laskowski
{{console}} sink shows itself in progress with this internal instance representation as follows:
{code:json}
"sink" : {
"description" : "org.apache.spark.sql.execution.streaming.ConsoleSinkProvider@12fa674a"
}
{code}
That is not very user-friendly and would be much better for debugging if it included the alias and options as {{socket}} does:
{code}
"sources" : [ {
"description" : "TextSocketV2[host: localhost, port: 8888]",
...
} ],
{code}
The entire sample progress looks as follows:
{code}
19/06/07 11:47:18 INFO MicroBatchExecution: Streaming query made progress: {
"id" : "26bedc9f-076f-4b15-8e17-f09609aaecac",
"runId" : "8c365e74-7ac9-4fad-bf1b-397eb086661e",
"name" : "socket-console",
"timestamp" : "2019-06-07T09:47:18.969Z",
"batchId" : 2,
"numInputRows" : 0,
"inputRowsPerSecond" : 0.0,
"durationMs" : {
"getEndOffset" : 0,
"setOffsetRange" : 0,
"triggerExecution" : 0
},
"stateOperators" : [ ],
"sources" : [ {
"description" : "TextSocketV2[host: localhost, port: 8888]",
"startOffset" : 0,
"endOffset" : 0,
"numInputRows" : 0,
"inputRowsPerSecond" : 0.0
} ],
"sink" : {
"description" : "org.apache.spark.sql.execution.streaming.ConsoleSinkProvider@12fa674a"
}
}
{code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org