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How to create jar file? |
You can create Jar files in following ways using Syncfusion Big Data Platform support.
For Example:
<Installed Drive>C:\Syncfusion\BigData\<Installed Version>\BigDataSDK\Samples\Java\MapReduce\WordCount\ReadMe.txt
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I know only python. How to work with python on hadoop? |
We have shipped set of Python Samples with Syncfusion Big Data Platform. You can use the samples for your reference to work with Python on Hadoop.
Also, we have provided Python getting started samples in Big Data Studio. You can run the python scripts in Python console and IPython Notebooks.
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What is the syntax for hadoop mapreduce? |
1. Create 2 classes for Map and Reduce extending base class like for e.g. 'MapReduceBase' in Java.
2. Locate the names of Map and Reduce class names and other parameters like Job Name.
3. In a main class, provide arguments for input file, output file and execute the logic. Please check the MapReduce programs present in the installed location for more information,
Java - C:\Syncfusion\BigData\3.2.0.20\BigDataSDK\Samples\Java\MapReduce
C# - C:\Syncfusion\BigData\3.2.0.20\BigDataSDK\Samples\CSharp\C# MapReduce Samples
4. If the language is C# you can run the application directly to check the output. In case of Java, you have another option along with running directly by preparing the Java code as Jar file and execute like below using 'hadoop jar' util. Please check the mapreduce samples that is shipped in Big Data Studio,
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Is there a source for codes for hadoop in syncfusion? |
Can you please explain your requirement about which source code you would like to check? So that we can help you better. |
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how to create jar file using python? Is there a similar stepwise guidance? |
We cannot create a jar with Python script files. A '.jar' file is a compiled collection of Java classes.
For your query, if you would like to implement MapReduce application using Python scripts we can execute the same via Hadoop Streaming as specified in the following reference. We will check and update you a sample for the same by May 9, 2018.
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