This structure is not specific to Hadoop, but in theory works in any JAR file. You can put JARs in JARs and refer to them with Class-Path entries in META-INF/MANIFEST.MF.
It works but I have found it can cause trouble with programs that query the JARs on the classpath to find other classes. When they're in a JAR-within-a-JAR these approaches can fail. But, it's worth trying. You can always repackage all the JARs together, or include them individually on a classpath too, as alternatives that can also work. On Tue, Sep 9, 2014 at 2:56 AM, Steve Lewis <lordjoe2...@gmail.com> wrote: > > > In a Hadoop jar there is a directory called lib and all non-provided third > party jars go there and are included in the class path of the code. Do jars > for Spark have the same structure - another way to ask the question is if I > have code to execute Spark and a jar build for Hadoop can I simply use that > jar? --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
