i implemented a sink using foreach it was indeed straightforward thanks On Fri, Jan 13, 2017 at 6:30 PM, Tathagata Das <tathagata.das1...@gmail.com> wrote:
> Structured Streaming has a foreach sink, where you can essentially do what > you want with your data. Its easy to create a Kafka producer, and write the > data out to kafka. > http://spark.apache.org/docs/latest/structured-streaming- > programming-guide.html#using-foreach > > On Fri, Jan 13, 2017 at 8:28 AM, Koert Kuipers <ko...@tresata.com> wrote: > >> how do you do this with structured streaming? i see no mention of writing >> to kafka >> >> On Fri, Jan 13, 2017 at 10:30 AM, Peyman Mohajerian <mohaj...@gmail.com> >> wrote: >> >>> Yes, it is called Structured Streaming: https://docs.databr >>> icks.com/_static/notebooks/structured-streaming-kafka.html >>> http://spark.apache.org/docs/latest/structured-streaming-pro >>> gramming-guide.html >>> >>> On Fri, Jan 13, 2017 at 3:32 AM, Senthil Kumar <senthilec...@gmail.com> >>> wrote: >>> >>>> Hi Team , >>>> >>>> Sorry if this question already asked in this forum.. >>>> >>>> Can we ingest data to Apache Kafka Topic from Spark SQL DataFrame ?? >>>> >>>> Here is my Code which Reads Parquet File : >>>> >>>> *val sqlContext = new org.apache.spark.sql.SQLContext(sc);* >>>> >>>> *val df = sqlContext.read.parquet("..../temp/*.parquet")* >>>> >>>> *df.registerTempTable("beacons")* >>>> >>>> >>>> I want to directly ingest df DataFrame to Kafka ! Is there any way to >>>> achieve this ?? >>>> >>>> >>>> Cheers, >>>> >>>> Senthil >>>> >>> >>> >> >
