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License: Apache License 2.0
Apache Flink™ training material website
License: Apache License 2.0
Hello I am new to flink and following the tutorials here to set up my local flink cluster on vmware environment. Everything goes fine before I tried to run the the application at step 4, which gives an error saying "Caused by: org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: localhost/127.0.0.1:8081".
Anyone knows what's wrong and how to solve the problem? Thanks very much!!
Hi,
Just found a small issue on http://dataartisans.github.io/flink-training/exercises/rideCleansing.html
Under the accordeon entry Obtaining a Taxi Ride Data Stream the link to Taxi Data Stream instructions is broken:
http://dataartisans.github.io/flink-training/exercises/taxtData.html
Probably, it should be
http://dataartisans.github.io/flink-training/exercises/taxiData.html
Combine the RideCleansing and RideSpeed exercises and refactor without using Kafka
Hi,
I have cloned this repo as instructed here in order to get familiar with Flink. However, there are the errors in the projects after building and importing into Eclipse IDE. In the Flink Training Exercises
project i find errors in the pom Plugin execution not covered by lifecycle configuration: net.alchim31.maven:scala-maven-plugin:3.1.4:testCompile
. There are also errors in the project flink-quickstart-java
. Some dependencies are not being resolved e.g. ExecutionEnvironment cannot be resolved
in the BatchJob
class. I have tried to clean the .m2
folder and complied both projects several times but there is no joy yet !
Right now, the ASF license headers are used. We should change that.
Add a dedicated Kafka exercise (move to DataStream advanced).
Make a Step-by-Step training following the agenda of the first training with integrated Slideshare slides.
The goal should be that
Hi there artisans,
does this repo accept contributions? :D
@samk3211 has started working on Gelly and we are thinking of adding one graph task to this training.
Our idea is to take the edges of the reply-to graph, merge the duplicate nodes, create a graph and run a weighted PageRank algorithm on it.
What do you think about this?
Can you please give her some pointers on what she needs to add?
Slides, description on the website, sample code?
Thank you!
The current training works on Flink 0.9-SNAPSHOT.
This should be changed when Flink 0.9 is released.
We need to change
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