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Spark Streaming HBase Example
This project forked from mapr-demos/sparkstreaminghbaseexample
Spark Streaming HBase Example
Create an hbase table to write to: launch the hbase shell $hbase shell create '/user/user01/sensor', {NAME=>'data'}, {NAME=>'alert'}, {NAME=>'stats'} Commands to run labs: Step 1: First compile the project: Select project -> Run As -> Maven Install Step 2: use scp to copy the sparkstreamhbaseapp-1.0.jar to the mapr sandbox or cluster To run the streaming: Step 3: start the streaming app /opt/mapr/spark/spark-1.3.1/bin/spark-submit --driver-class-path `hbase classpath` --class examples.HBaseSensorStream sparkstreamhbaseapp-1.0.jar Step 4: copy the streaming data file to the stream directory cp sensordata.csv /user/user01/stream/. Step 5: you can scan the data written to the table, however the values in binary double are not readable from the shell launch the hbase shell, scan the data column family and the alert column family $hbase shell scan '/user/user01/sensor', {COLUMNS=>['data'], LIMIT => 10} scan '/user/user01/sensor', {COLUMNS=>['alert'], LIMIT => 10 } Step 6: launch one of the programs below to read data and calculatecalculate stats for one column /opt/mapr/spark/spark-1.3.1/bin/spark-submit --driver-class-path `hbase classpath` --class examples.HBaseReadWrite sparkstreamhbaseapp-1.0.jar calculate stats for whole row /opt/mapr/spark/spark-1.3.1/bin/spark-submit --driver-class-path `hbase classpath` --class examples.HBaseReadRowWriteStats sparkstreamhbaseapp-1.0.jar launch the shell and scan for statistics scan '/user/user01/sensor', {COLUMNS=>['stats']}
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