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From José Luis Pedrosa <jlpedr...@gmail.com>
Subject Spark 2.4.3 with hadoop 3.2 docker image.
Date Thu, 04 Jul 2019 17:13:08 GMT
Hi All

I'm trying to create docker images that can access azure services using
abfs hadoop driver, which is only available in haddop 3.2.

So I downloaded spark without Hadoop and generated spark images using the
docker-image-tool.sh  itself.

In a new image using the resulting image as FROM, I've added hadoop 3.2
binary distro and following
https://spark.apache.org/docs/2.2.0/hadoop-provided.html I've set:

export SPARK_DIST_CLASSPATH=$(/path/to/hadoop/bin/hadoop classpath)


Then when launching the jobs in K8s, it turns out, that the driver uses
internally spark-submit for the driver
<https://github.com/apache/spark/blob/c3e32bf06c35ba2580d46150923abfa795b4446a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/entrypoint.sh#L89>
but
it seems that launches with java directly for the executor
<https://github.com/apache/spark/blob/c3e32bf06c35ba2580d46150923abfa795b4446a/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/entrypoint.sh#L111>
Result is that drivers can run correctly, but executors fails due to
missing sl4j class

Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/Logger
at java.lang.Class.getDeclaredMethods0(Native Method)
at java.lang.Class.privateGetDeclaredMethods(Class.java:2701)
at java.lang.Class.privateGetMethodRecursive(Class.java:3048)
at java.lang.Class.getMethod0(Class.java:3018)
at java.lang.Class.getMethod(Class.java:1784)
at sun.launcher.LauncherHelper.validateMainClass(LauncherHelper.java:544)
at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:526)
Caused by: java.lang.ClassNotFoundException: org.slf4j.Logger
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)


If I'd add it manually to the class path, then another hadoop class would
be missing.

What is the right way to generate a docker image for spark 2.4 with a
custom hadoop distribution?


Thanks and regards
JL

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