Member since
09-23-2015
151
Posts
110
Kudos Received
50
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
1353 | 08-12-2016 04:05 AM | |
2640 | 08-07-2016 03:58 AM | |
1164 | 07-27-2016 06:24 PM | |
1704 | 07-20-2016 03:14 PM | |
1229 | 07-18-2016 12:54 PM |
04-17-2016
11:10 AM
I don't know, but try a different a region and see if you have any success.
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04-16-2016
03:26 PM
Which Amazon region are getting the AMI from? Perhaps there is an AMI that is not working. Try starting up one in a different region and see if that works.
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04-16-2016
11:18 AM
1. Restart ambari-agent 2. Run the start_all_services.sh script 3. Wait 5 minutes and see if the cluster is up and running If those steps fail, then terminate your EC2 instance and build a new one. That will be quicker than trying to debug the issue.
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03-31-2016
06:58 PM
On the exam you should always use Ambari when possible, especially for tasks like enabling NameNode HA.
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03-30-2016
08:04 PM
Try using your hostname instead of the IP address. From the machine running the spark master process, run: $ hostname Then use that value instead of 127.0.0.1.
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03-30-2016
12:54 PM
2 Kudos
@John Cod - Try adding the following environment variables to spark-env.sh (found in the /conf folder of your Spark install) - using the appropriate IP address of course if Spark is running on a machine other than localhost: export SPARK_MASTER_IP=127.0.0.1
export SPARK_LOCAL_IP=127.0.0.1
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03-29-2016
07:21 PM
@Anshu Kumar - this is not a concern that you need to have on the exam. In order for a task on the exam to be marked as correct, you must have already executed your code and the output must exist in HDFS. If the desired output folder specified by the task instructions is not in HDFS, then that task will be immediately marked as wrong. Do not worry about how the evaluator grades the exam. Focus on generating the desired output by carefully following the task instructions, making sure that you run your code, and making sure your code generated the desired output.
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03-29-2016
06:50 PM
You are correct - the output, location, and framework are the grading criteria. We don't care "how" you get the answer as long as you get the correct answer using the correct framework.
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03-29-2016
06:48 PM
@Anshu Kumar - this is good question but it's buried in your current one. Can you ask this in a new, separate question on the forum? (Put "HDPCD" in the subject and I will get notified immediately of your question).
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03-21-2016
12:40 AM
There's a discussion here that answers your question. http://stackoverflow.com/questions/11130145/hadoop-multipleinputs-fails-with-classcastexception
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