[jira] [Updated] (SPARK-25834) stream stream Outer join with update mode is not throwing exception

["Sachin Ramachandra Setty (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sachin Ramachandra Setty updated SPARK-25834:
---------------------------------------------
    Summary: stream stream Outer join with update mode is not throwing exception  (was: stream stream Outer join with update mode is throwing exception)

> stream stream Outer join with update mode is not throwing exception
> -------------------------------------------------------------------
>
>                 Key: SPARK-25834
>                 URL: https://issues.apache.org/jira/browse/SPARK-25834
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 2.3.1, 2.3.2
>            Reporter: Sachin Ramachandra Setty
>            Priority: Minor
>
> Execute the below program and can see there is no AnalysisException thrown
> import java.sql.Timestamp
>  import org.apache.spark.sql.functions.\{col, expr}
>  import org.apache.spark.sql.streaming.Trigger
>  
>  val lines_stream1 = spark.readStream.
>  format("kafka").
>  option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
>  option("subscribe", "test11").
>  option("includeTimestamp", true).
>  load().
>  selectExpr("CAST (value AS String)","CAST(timestamp AS TIMESTAMP)").as[(String,Timestamp)].
>  select(col("value") as("data"),col("timestamp") as("recordTime")).
>  select("data","recordTime").
>  withWatermark("recordTime", "20 seconds ")
> val lines_stream2 = spark.readStream.
>  format("kafka").
>  option("kafka.bootstrap.servers", "10.18.99.58:21005,10.18.99.55:21005").
>  option("subscribe", "test22").
>  option("includeTimestamp", value = true).
>  load().
>  selectExpr("CAST (value AS String)","CAST(timestamp AS TIMESTAMP)").as[(String,Timestamp)].
>  select(col("value") as("data1"),col("timestamp") as("recordTime1")).
>  select("data1","recordTime1").
>  withWatermark("recordTime1", "20 seconds ")
>  val query = lines_stream1.join(lines_stream2, expr (
>  """
>  | data == data1 and
>  | recordTime1 >= recordTime and
>  | recordTime1 <= recordTime + interval 20 seconds
>  """.stripMargin),"*left*").
>  writeStream.
>  option("truncate","false").
>  outputMode("update").
>  format("console").
>  trigger(Trigger.ProcessingTime ("2 second")).
>  start()
> query.awaitTermination()
> As per the document https://spark.apache.org/docs/2.3.2/structured-streaming-programming-guide.html#stream-stream-joins 
>  joins are only supported in append mode
> *As of Spark 2.3, you can use joins only when the query is in Append output mode. Other output modes are not yet supported.*
> Inner join is working as per spark documentation but it is failed for outer joins



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