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. >>> >>> >>> >
