[jira] [Created] (SPARK-37441) org.apache.spark.sql.AnalysisException: Non-time-based windows are not supported on streaming DataFrames/Datasets;; despite of time-based window

["Ilya (Jira)" <ji...@apache.org>]

Ilya created SPARK-37441:
----------------------------

             Summary: org.apache.spark.sql.AnalysisException: Non-time-based windows are not supported on streaming DataFrames/Datasets;; despite of time-based window
                 Key: SPARK-37441
                 URL: https://issues.apache.org/jira/browse/SPARK-37441
             Project: Spark
          Issue Type: Bug
          Components: Structured Streaming
    Affects Versions: 3.0.1
            Reporter: Ilya


Initially posted here: [https://stackoverflow.com/questions/70062355/org-apache-spark-sql-analysisexception-non-time-based-windows-are-not-supported]

 

'm doing the window-based sorting for the Spark Structured Streaming:
 
{{val filterWindow: WindowSpec = Window  .partitionBy("key")
  .orderBy($"time")

controlDataFrame=controlDataFrame.withColumn("Make Coffee", $"value").    
  withColumn("datetime", date_trunc("second", current_timestamp())).
  withColumn("time", current_timestamp()).
  withColumn("temp_rank", rank().over(filterWindow))
  .filter(col("temp_rank") === 1)
  .drop("temp_rank").
  withColumn("digitalTwinId", lit(digitalTwinId)).
  withWatermark("datetime", "10 seconds")}}

I'm obtaining {{time}} as {{current_timestamp()}} and in schemat I see its type as {{StructField(time,TimestampType,true)}}

Why Spark 3.0 doesn't allow me to do the window operation based on it with the following exception, as the filed is clearly time-based?
 
{{21/11/22 10:34:03 WARN SparkSession$Builder: Using an existing SparkSession; some spark core configurations may not take effect.

org.apache.spark.sql.AnalysisException: Non-time-based windows are not supported on streaming DataFrames/Datasets;;Window [rank(time#163) windowspecdefinition(key#150, time#163 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS temp_rank#171], [key#150], [time#163 ASC NULLS FIRST]
+- Project [key#150, value#151, Make Coffee#154, datetime#158, time#163]}}



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