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https://issues.apache.org/jira/browse/SPARK-45655?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-45655.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43517
[https://github.com/apache/spark/pull/43517]
> current_date() not supported in Streaming Query Observed metrics
> ----------------------------------------------------------------
>
> Key: SPARK-45655
> URL: https://issues.apache.org/jira/browse/SPARK-45655
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 3.4.1, 3.5.0
> Reporter: Bhuwan Sahni
> Assignee: Bhuwan Sahni
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> Streaming queries do not support current_date() inside CollectMetrics. The
> primary reason is that current_date() (resolves to CurrentBatchTimestamp) is
> marked as non-deterministic. However, {{current_date}} and
> {{current_timestamp}} are both deterministic today, and
> {{current_batch_timestamp}} should be the same.
>
> As an example, the query below fails due to observe call on the DataFrame.
>
> {quote}val inputData = MemoryStream[Timestamp]
> inputData.toDF()
> .filter("value < current_date()")
> .observe("metrics", count(expr("value >=
> current_date()")).alias("dropped"))
> .writeStream
> .queryName("ts_metrics_test")
> .format("memory")
> .outputMode("append")
> .start()
> {quote}
>
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