Ok. I don't put it in the path. Because this is not a lib I want to use
permanently.
here is my code in RDD.
val fileaddr = SparkFiles.get("segment.so");
System.load(fileaddr);
val config = SparkFiles.get("qsegconf.ini")
val segment = new Segment//this is the native class
segment.init(config);//here failed if driver doesn't load this
lib
I just use the system.load to load this lib. But now I also call some
functions in the lib to change some objects in the lib. It turns out the
fatal error. And after I first load it in driver, this works again in
standalone mode. I want to know how the job running from the driver to
worker, or how the worker memory is loaded to the native lib. Then I take
another sample lib. If the function not change the objects in the lib, the
lib can be only loaded in workers. And another thing I want to know is
whether there is something like the cache arche in hadoop streaming.
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