object
AirlineDataSparkApp
Value Members
-
final
def
!=(arg0: Any): Boolean
-
final
def
##(): Int
-
final
def
==(arg0: Any): Boolean
-
final
def
asInstanceOf[T0]: T0
-
def
clone(): AnyRef
-
final
def
eq(arg0: AnyRef): Boolean
-
def
equals(arg0: Any): Boolean
-
def
finalize(): Unit
-
final
def
getClass(): Class[_]
-
def
hashCode(): Int
-
final
def
isInstanceOf[T0]: Boolean
-
def
main(args: Array[String]): Unit
-
final
def
ne(arg0: AnyRef): Boolean
-
final
def
notify(): Unit
-
final
def
notifyAll(): Unit
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
-
def
toString(): String
-
final
def
wait(): Unit
-
final
def
wait(arg0: Long, arg1: Int): Unit
-
final
def
wait(arg0: Long): Unit
This application depicts how a Spark cluster can connect to a Snappy cluster to fetch and query the tables using Scala APIs in a Spark App.
Run this on your local machine:
Start snappy cluster
$ sbin/snappy-start-all.shStart spark cluster
$ sbin/start-all.shCreate tables
$ ./bin/snappy-job.sh submit --lead localhost:8090 \ --app-name CreateAndLoadAirlineDataJob \ --class io.snappydata.examples.CreateAndLoadAirlineDataJob \ --app-jar $SNAPPY_HOME/examples/jars/quickstart.jar$ ./bin/spark-submit --class io.snappydata.examples.AirlineDataSparkApp \ --master spark://<hostname>:7077 --conf snappydata.connection=localhost:1527 \ $SNAPPY_HOME/examples/jars/quickstart.jar