[SPARK-23616] Streaming self-join using SQL throws resolution exceptions

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Duplicate
• Affects Version/s: 2.3.0
• Component/s: Structured Streaming
• Target Version/s: 2.3.1, 2.4.0
• Assignee: Tathagata Das
• Reporter: Tathagata Das
• Created: 07/Mar/18 00:34
• Updated: 07/Mar/18 00:37
• Resolved: 07/Mar/18 00:37

Description

Reported on the dev list.

import org.apache.spark.sql.streaming.Trigger 
val jdf = spark.readStream.format("kafka").option("kafka.bootstrap.servers", "localhost:9092").option("subscribe", "join_test").option("startingOffsets", "earliest").load();

jdf.createOrReplaceTempView("table")

val resultdf = spark.sql("select * from table as x inner join table as y on x.offset=y.offset")

resultdf.writeStream.outputMode("update").format("console").option("truncate", false).trigger(Trigger.ProcessingTime(1000)).start()

This is giving the following error

org.apache.spark.sql.AnalysisException: cannot resolve '`x.offset`' given input columns: [x.value, x.offset, x.key, x.timestampType, x.topic, x.timestamp, x.partition]; line 1 pos 50;
'Project [*]
+- 'Join Inner, ('x.offset = 'y.offset)
 :- SubqueryAlias x
 : +- SubqueryAlias table
 : +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@15f3f9cf,kafka,List(),None,List(),None,Map(startingOffsets -> earliest, subscribe -> join_test, kafka.bootstrap.servers -> localhost:9092),None), kafka, [key#28, value#29, topic#30, partition#31, offset#32L, timestamp#33, timestampType#34]
 +- SubqueryAlias y
 +- SubqueryAlias table
 +- StreamingRelation DataSource(org.apache.spark.sql.SparkSession@15f3f9cf,kafka,List(),None,List(),None,Map(startingOffsets -> earliest, subscribe -> join_test, kafka.bootstrap.servers -> localhost:9092),None), kafka, [key#28, value#29, topic#30, partition#31, offset#32L, timestamp#33, timestampType#34]

 

Issue Links

• duplicates: SPARK-23406 Stream-stream self joins does not work