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https://issues.apache.org/jira/browse/SPARK-32821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17833662#comment-17833662
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Chloe He commented on SPARK-32821:
----------------------------------
Hi All -
I'm trying to do something similar here. I tried creating a watermark on the
stream with the `withWatermark()` function, then creating a temp view over it.
Then I call the `.sql()` function to execute my SQL query. However, this is
throwing
```
AnalysisException: Append output mode not supported when there are streaming
aggregations on streaming DataFrames/DataSets without watermark
```
It seems that the watermark that I created on the stream was not recognized by
the downstream processing. If instead of creating a temp view and calling the
`.sql()` function I execute the query using Structured Streaming API instead,
the query does work.
Does that mean there is currently no support for using raw SQL in conjunction
with watermark?
> cannot group by with window in sql statement for structured streaming with
> watermark
> ------------------------------------------------------------------------------------
>
> Key: SPARK-32821
> URL: https://issues.apache.org/jira/browse/SPARK-32821
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.1.0
> Reporter: Johnny Bai
> Priority: Major
> Attachments: the watermark grammer.md
>
>
> current only support dsl style as below:
> {code}
> import spark.implicits._
> val words = ... // streaming DataFrame of schema { timestamp: Timestamp,
> word: String }
> // Group the data by window and word and compute the count of each group
> val windowedCounts = words.groupBy(window($"timestamp", "10 minutes", "5
> minutes"),$"word").count()
> {code}
>
> but not support group by with window in sql style as below:
> {code}
> select ts_field,count(\*) as cnt over window(ts_field, '1 minute', '1
> minute') with watermark 1 minute from tableX group by ts_field
> {code}
>
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