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...The data structures tend to change over time, or not be known in advance, working with them must be maintained;
3. All routine work ETL should be automated wherever possible;
4. Compiling the code on the fly bail speed and reserve for the optimization;
5. Sophisticated class hierarchy guarantee easy connection of other open source solutions.
osDQ dedicated to create apache spark based data pipeline using JSON
...Get json example at https://github.com/arrahtech/osdq-spark
How to run
Unzip the zip file
Windows : java -cp .\lib\*;osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c .\example\samplerun.json
Mac UNIX
java -cp ./lib/*:./osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c ./example/samplerun.json
For those on windows, you need to have hadoop distribtion unzipped on local drive and HADOOP_HOME set. Also copy winutils.exe from here into HADOOP_HOME\bin