Hi, I've been using the Kafka with pyspark since 2.1.
On Wed, Mar 14, 2018 at 3:49 PM, Aakash Basu <aakash.spark....@gmail.com> wrote: > Hi, > > I'm yet to. > > Just want to know, when does Spark 2.3 with 0.10 Kafka Spark Package > allows Python? I read somewhere, as of now Scala and Java are the languages > to be used. > > Please correct me if am wrong. > > Thanks, > Aakash. > > On 14-Mar-2018 8:24 PM, "Georg Heiler" <georg.kf.hei...@gmail.com> wrote: > >> Did you try spark 2.3 with structured streaming? There watermarking and >> plain sql might be really interesting for you. >> Aakash Basu <aakash.spark....@gmail.com> schrieb am Mi. 14. März 2018 um >> 14:57: >> >>> Hi, >>> >>> >>> >>> *Info (Using):Spark Streaming Kafka 0.8 package* >>> >>> *Spark 2.2.1* >>> *Kafka 1.0.1* >>> >>> As of now, I am feeding paragraphs in Kafka console producer and my >>> Spark, which is acting as a receiver is printing the flattened words, which >>> is a complete RDD operation. >>> >>> *My motive is to read two tables continuously (being updated) as two >>> distinct Kafka topics being read as two Spark Dataframes and join them >>> based on a key and produce the output. *(I am from Spark-SQL >>> background, pardon my Spark-SQL-ish writing) >>> >>> *It may happen, the first topic is receiving new data 15 mins prior to >>> the second topic, in that scenario, how to proceed? I should not lose any >>> data.* >>> >>> As of now, I want to simply pass paragraphs, read them as RDD, convert >>> to DF and then join to get the common keys as the output. (Just for R&D). >>> >>> Started using Spark Streaming and Kafka today itself. >>> >>> Please help! >>> >>> Thanks, >>> Aakash. >>> >>
