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https://issues.apache.org/jira/browse/SPARK-32821?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Johnny Bai updated SPARK-32821:
-------------------------------
Description:
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()
but not support group by with window in sql style as below:
"select ts_field,count(*) as cnt over window(ts_field, '1 minute', '1 minute')
with watermark 1 minute from tableX group by ts_field"
was:
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()
but not support group by with window in sql style as below:
"select ts_field,count(*) over window(ts_field, '1 minute', '1 minute') with
watermark 1 minute from tableX group by ts_field"
> cannot group by with window in sql sentence 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: 3.0.0
> Reporter: Johnny Bai
> Priority: Major
> Fix For: 3.0.1
>
>
>
> 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()
>
> but not support group by with window in sql style as below:
> "select ts_field,count(*) as cnt over window(ts_field, '1 minute', '1
> minute') with watermark 1 minute from tableX group by ts_field"
>
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