Sorry this is not a bug but essentially a user error. Spark throws a really
confusing error and I'm also confused. Please see the reply in the ticket
for how to make things correct.
https://issues.apache.org/jira/browse/SPARK-47718
刘唯 于2024年4月6日周六 11:41写道：
> This indeed looks like a bug
This indeed looks like a bug. I will take some time to look into it.
Mich Talebzadeh 于2024年4月3日周三 01:55写道：
>
> hm. you are getting below
>
> AnalysisException: Append output mode not supported when there are
> streaming aggregations on streaming DataFrames/DataSets without watermark;
>
> The
of my kno
> wledge but of course cannot be guaranteed . It is essential to note that,
> as with any advice, quote "one test result is worth one-thousand expert op
> inions (Werner <https://en.wikipedia.org/wiki/Wernher_von_Braun>Von Braun
> <https://en.wikipedia.org/wiki
*now -> not
刘唯 于2024年3月10日周日 22:04写道：
> Have you tried using microbatch_data.get("processedRowsPerSecond")?
> Camel case now snake case
>
> Mich Talebzadeh 于2024年3月10日周日 11:46写道：
>
>>
>> There is a paper from Databricks on this subject
>>
>&g
Have you tried using microbatch_data.get("processedRowsPerSecond")?
Camel case now snake case
Mich Talebzadeh 于2024年3月10日周日 11:46写道：
>
> There is a paper from Databricks on this subject
>
>
> https://www.databricks.com/blog/2022/05/27/how-to-monitor-streaming-queries-in-pyspark.html
>
> But
