Jacek Laskowski created SPARK-20599:
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Summary: KafkaSourceProvider should work with ConsoleSink
Key: SPARK-20599
URL: https://issues.apache.org/jira/browse/SPARK-20599
Project: Spark
Issue Type: Improvement
Components: SQL, Structured Streaming
Affects Versions: 2.3.0
Reporter: Jacek Laskowski
Priority: Minor
I think the following should just work.
{code}
spark.
read. // <-- it's a batch query not streaming query if that matters
format("kafka").
option("subscribe", "topic1").
option("kafka.bootstrap.servers", "localhost:9092").
load.
write.
format("console"). // <-- that's not supported currently
save
{code}
The above combination of {{kafka}} source and {{console}} sink leads to the
following exception:
{code}
java.lang.RuntimeException:
org.apache.spark.sql.execution.streaming.ConsoleSinkProvider does not allow
create table as select.
at scala.sys.package$.error(package.scala:27)
at
org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:479)
at
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:93)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:93)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:610)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233)
... 48 elided
{code}
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