Has anyone been able to run the code in The Future of Real-Time in Spark
<http://rxin.github.io/talks/2016-02-18_spark_summit_streaming.pdf> Slide
24 :"Continuous Aggregation"?
Specifically, the line: stream("jdbc:mysql//..."),
Using Spark 2.0 preview build, I am getting the error when writing to MySQL:
Exception in thread "main" java.lang.UnsupportedOperationException: Data
source jdbc does not support streamed writing
at
org.apache.spark.sql.execution.datasources.DataSource.createSink(DataSource.scala:201)
My code:
val logsDF = sparkSession.read.format("json")
.stream("file:///xxx/xxx/spark-2.0.0-preview-bin-hadoop2.4/examples/src/main/resources/people.json")
val logsDS = logsDF.as[Person]
logsDS.groupBy("name").sum("age").write.format("jdbc").option("checkpointLocation",
"/xxx/xxx/temp").startStream("jdbc:mysql//localhost/test")
}
Looking at the Spark DataSource.scala source code, looks like only
ParquetFileFormat is supported? Am I missing something? What data sources
support streamed write? Is the example code referring to 2.0 features?
Thanks in advanced for your help.
Chang
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