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1. Checkout source code from https://github.com/apache/incubator-zeppelin
2. Custom build the code with spark 1.3 and with the respective Hadoop version.
mvn clean package -Pspark-1.3 -Dhadoop.version=2.6.0 -Phadoop-2.6 -DskipTests
3. Have the following jars in the spark classpath by placing them in the location $ZEPPELIN_HOME/interpreter/spark
a. hbase-client.jar
b. hbase-protocol.jar
c. hbase-common.jar
d. phoenix-4.4.x-client-without-hbase.jar
4. Start Zeppelin
@nsabharwal
nsabharwal / control.sh
Last active January 19, 2016 19:01 — forked from randerzander/control.sh
Ambari Service Start/Stop script
USER='admin'
PASS='admin'
CLUSTER='dev'
HOST=$(hostname -f):8080
function start(){
curl -u $USER:$PASS -i -H 'X-Requested-By: ambari' -X PUT -d \
'{"RequestInfo": {"context" :"Start '"$1"' via REST"}, "Body": {"ServiceInfo": {"state": "STARTED"}}}' \
http://$HOST/api/v1/clusters/$CLUSTER/services/$1
}