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Project includes special spout that reads events from CSV file as rows for emitting using timestamp column in input CSV file [SampleSpout in samples folder]
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Takes arguments as the X-factor (0.5x,3x) to increase or dicrease the input rate in spout using same CSV file as input (0.5 as arg to double the rate)
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How to USE -
In local mode args passed in IDE -
example
<Topo-mode L-local,C-cluster> <topo name> <input CSV file path> <datatype-ExperimentID> <rate> <output log file path> L IdentityTopology /Users/anshushukla/Downloads/Incomplete/stream/PStormScheduler/src/test/java/operation/output/eventDist.csv PLUG-210 1.0 /Users/anshushukla/data/output/temp
In global mode args passed -
example-
<storm command> jar <jar file path> <class path> <Topo-mode> <toponame> <csv data path > <PLUG-expid> <rate> <log file path> storm jar $stormJarpath in.dream_lab.bm.uidai.auth.topology.$i C $i $plugdatapath PLUG-$expNum 1.0 $outputpath
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Limitations
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Must pass expid folllowed by PLUG keyword it is being used to identify data type while emitting - (will correct this soon)
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Timestamp must be in milliseconds
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sample csv file entries - for more columns please add them after these 2 columns
| msgId | timestamp | | ------------- |:-------------:| | 1 | 1443033000 | | 2 | 1443033001 | | 3 | 14430330002 |
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After cloning the code please comment the below line in pom.xml to run in IDE and reverse to run in Cluster mode
<scope>provided</scope> <!-- IMPORTANT -->
- Note Input CSV file must be present in all the locations of cluster nodes , because we dont know in case of default scheduler where spout is going to run
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Apache Storm : Custom Timestamp based spout (with example topo )
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