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]}} -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org