Hi, timeWindowAll is a non parallel operation, since it gathers all of the elements and process them together:
https://ci.apache.org/projects/flink/flink-docs-release-1.4/api/java/org/apache/flink/streaming/api/datastream/DataStream.html#timeWindowAll-org.apache.flink.streaming.api.windowing.time.Time-org.apache.flink.streaming.api.windowing.time.Time- <https://ci.apache.org/projects/flink/flink-docs-release-1.4/api/java/org/apache/flink/streaming/api/datastream/DataStream.html#timeWindowAll-org.apache.flink.streaming.api.windowing.time.Time-org.apache.flink.streaming.api.windowing.time.Time-> Note that it’s defined in DataStream, not in the KeyedStream. In your keyBy example keyBy() is just a NoOp. Didn’t you mean to use KeyedStream#timeWindows method? Piotrek > On 1 Mar 2018, at 09:21, Ashish Attarde <ashish.atta...@gmail.com> wrote: > > Hi, > > I am new to Flink and in general data processing using stream processors. > > I am using flink to do real time correlation between multiple records which > are coming as part of same stream. I am doing is "apply" operation on > TimeWindowed stream. When I submit job with parallelism factor of 4, I am > still seeing apply operation is applied with parallelism factor of 1. > > Here is the peice of code : > > parsedInput.keyBy("mflowHash") > .timeWindowAll(Time.milliseconds(1000),Time.milliseconds(200)) > .allowedLateness(Time.seconds(10)) > .apply(new CRWindow()); > > I am trying to correlate 2 streams, what is the right way to do it? I tried > the CEP library and experienced the worst performance. It is taking ~4 > minutes to do the correlation. The corelation logic is very simple and not > compute intensive. > > > -- > > Thanks > -Ashish Attarde > > > > -- > > Thanks > -Ashish Attarde
