hadoop-examples | You wan na learn how to use Hadoop , start
kandi X-RAY | hadoop-examples Summary
kandi X-RAY | hadoop-examples Summary
You wanna learn how to use Hadoop, start here!
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- Compute the Pearson correlation score between two preferences
- Get the list of common items in pref_dict
- Get recommendations for a given preference
- Compute the top scores for a given person
- Compute the euclidean distance between two items
- Calculate the similarity matrix for each preference
- Transform an item preferences dictionary into a dictionary
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QUESTION
the question is related to a terasort example. Is there any parameter to change the amount of output records using terasort? The input generated with teragen is 65'536'000 but we are requested to run terasort and output 10'000'000 records. This request is part of a practice with Cloudera distribution, not a real case but benchmark on implementation practice. Teragen:
time hadoop jar opt/cloudera/parcels/CDH-5.13.1-1.cdh5.13.1.p0.2/lib/hadoop-0.20-mapreduce/hadoop-examples.jar teragen -Dmapreduce.job.maps=12 -Ddfs.blocksize=33554432 -Dmapreduce.map.memory.mb=512 -Dyarn.app.mapreduce.am.containerlauncher.threadpool-initial-size=512 65536000 /user/haley/tgen
Result:
...ANSWER
Answered 2018-Jan-03 at 11:59Is there any parameter to change the amount of output records using terasort?
As far as I understand the source code of TeraSort.java
, it seems to implement a custom partitioner, partitioning and sorting the full input. So there is no parameter to change that behavior.
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Install hadoop-examples
You can use hadoop-examples like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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