[SS] Invalid call to dataType on unresolved object

["Lalwani, Jayesh" <Ja...@capitalone.com>]

This is possibly a bug introduced in 2.3.0.

I have this code that I run in spark-shell


spark.readStream.format("socket").option("host", "localhost").option("port", 9999).load().toDF("employeeId").

     | withColumn("swipeTime", expr("current_timestamp()")).

     | createTempView("employeeSwipe")



spark.table("employeeSwipe").writeStream.outputMode("append").format("console").start


I run it in 2.2.1 and I get this


scala> spark.readStream.format("socket").option("host", "localhost").option("port", 9999).load().toDF("employeeId").

     | withColumn("swipeTime", expr("current_timestamp()")).

     | createTempView("employeeSwipe")

18/06/04 18:20:27 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException

18/06/04 18:20:28 WARN TextSocketSourceProvider: The socket source should not be used for production applications! It does not support recovery.



scala> spark.table("employeeSwipe").writeStream.outputMode("append").format("console").start

res1: org.apache.spark.sql.streaming.StreamingQuery = org.apache.spark.sql.execution.streaming.StreamingQueryWrapper@24489d12



scala> -------------------------------------------

Batch: 0

-------------------------------------------

+----------+--------------------+

|employeeId|           swipeTime|

+----------+--------------------+

|         1|2018-06-04 18:21:...|

+----------+--------------------+

I run the same in 2.3.0, and I get this


scala> spark.readStream.format("socket").option("host", "localhost").option("port", 9999).load().toDF("employeeId").

     |      | withColumn("swipeTime", expr("current_timestamp()")).

     |      | createTempView("employeeSwipe")

2018-06-04 18:37:12 WARN  TextSocketSourceProvider:66 - The socket source should not be used for production applications! It does not support recovery.

2018-06-04 18:37:15 WARN  ObjectStore:568 - Failed to get database global_temp, returning NoSuchObjectException



scala>



scala> spark.table("employeeSwipe").writeStream.outputMode("append").format("console").start

res1: org.apache.spark.sql.streaming.StreamingQuery = org.apache.spark.sql.execution.streaming.StreamingQueryWrapper@5a503cf0



scala> 2018-06-04 18:37:28 ERROR MicroBatchExecution:91 - Query [id = 10f792b2-89fd-4d98-b2e7-f7531da385e4, runId = 3b131ecf-a622-4b54-9295-ff06e9fc2566] terminated with error

org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to dataType on unresolved object, tree: 'swipeTime

       at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.dataType(unresolved.scala:105)

       at org.apache.spark.sql.types.StructType$$anonfun$fromAttributes$1.apply(StructType.scala:435)

       at org.apache.spark.sql.types.StructType$$anonfun$fromAttributes$1.apply(StructType.scala:435)

       at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)

       at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)

       at scala.collection.immutable.List.foreach(List.scala:381)

       at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)

       at scala.collection.immutable.List.map(List.scala:285)

       at org.apache.spark.sql.types.StructType$.fromAttributes(StructType.scala:435)

       at org.apache.spark.sql.catalyst.plans.QueryPlan.schema$lzycompute(QueryPlan.scala:157)

       at org.apache.spark.sql.catalyst.plans.QueryPlan.schema(QueryPlan.scala:157)

       at org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch(MicroBatchExecution.scala:447)

       at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:133)

       at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:121)

       at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:121)

       at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:271)

       at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)

       at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:121)

       at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)

       at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:117)

       at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)

       at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)




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