Sorry, this is the error: [error] /home/sergio/Escritorio/hello/streaming.scala:77: Implementation restriction: case classes cannot have more than 22 parameters.
2015-04-22 16:06 GMT+02:00 Sergio Jiménez Barrio <drarse.a...@gmail.com>: > I tried the solution of the guide, but I exceded the size of case class > Row: > > > 2015-04-22 15:22 GMT+02:00 Tathagata Das <tathagata.das1...@gmail.com>: > >> Did you checkout the latest streaming programming guide? >> >> >> http://spark.apache.org/docs/latest/streaming-programming-guide.html#dataframe-and-sql-operations >> >> You also need to be aware of that to convert json RDDs to dataframe, >> sqlContext has to make a pass on the data to learn the schema. This will >> fail if a batch has no data. You have to safeguard against that. >> >> On Wed, Apr 22, 2015 at 6:19 AM, ayan guha <guha.a...@gmail.com> wrote: >> >>> What about sqlcontext.createDataframe(rdd)? >>> On 22 Apr 2015 23:04, "Sergio Jiménez Barrio" <drarse.a...@gmail.com> >>> wrote: >>> >>>> Hi, >>>> >>>> I am using Kafka with Apache Stream to send JSON to Apache Spark: >>>> >>>> val messages = KafkaUtils.createDirectStream[String, String, >>>> StringDecoder, StringDecoder](ssc, kafkaParams, topicsSet) >>>> >>>> Now, I want parse the DStream created to DataFrame, but I don't know if >>>> Spark 1.3 have some easy way for this. ¿Any suggestion? I can get the >>>> message with: >>>> >>>> val lines = messages.map(_._2) >>>> >>>> Thank u for all. Sergio J. >>>> >>>> >>>> >> >
