Hello again friends - I am working the tutorial "A Lap Around Apache Spark" and running into an issue. I am executing the following command: ./bin/spark-shell --master yarn-client --driver-memory 512m--executor-memory 512m Which seems to start OK - but apparently not, as it seems to get stuck and repeat the following message every second: And it will keep repeating the same message over and over again until I hit CTRL+C. I am wondering about the $JAVA_HOME variable. I have tried remedying the above condition with different variations, none of which seem to have any effect. The current value of $JAVA_HOME is as follows: Any thoughts? I hate the thought of giving up on this module until I understand what is creating this error. Thanking all of you in advance - your response to my inquiries in the past have been spectacular, and I am very grateful. Thanks, Mike ... View more

Hello friends - I seem to be stuck once again as I work my way through the Hortonworks Tutorials. I am currently working "Exploring Data with Apache Pig from the Grunt shell" and stuck on the step "DUMP Movies;" I seem to me stuck in a loop that is waiting on "sandbox.hortonworks.com/10.0.2.15/:10020. Already tried 38 times ............" I have attached a screen for clarification. There was one funky twist in the instruction; the tutorial calls for loading movies.txt to /user/hadoop, and several comments suggested this was a type, and the location /user/hue should be used instead. That is the only variation on the instructions I have made knowingly. Any assistance, as always, is greatly appreciated. Mike ... View more

Hello all - Just a quick LOW PRIORITY question for anyone who has run the tutorial "How To Process Data with Apache Pig". I created the script, and running the job as I write this. It has been running for 2 hours. Does this seem SLOW to anyone else? I am running on a machine with an i7 processor, have 16 Gb of RAM, of which the Ambari Sandbox is utilizing 8 Gb. Are there other configuration options that should be set? Although - this seems like a massive amount of resources in use already. ... View more