Library for reading data from real-time messaging infrastructure PubNub using Spark Streaming.
Using SBT:
libraryDependencies += "org.apache.bahir" %% "spark-streaming-pubnub" % "2.3.1"
Using Maven:
<dependency>
<groupId>org.apache.bahir</groupId>
<artifactId>spark-streaming-pubnub_2.11</artifactId>
<version>2.3.1</version>
</dependency>
This library can also be added to Spark jobs launched through spark-shell
or spark-submit
by using the --packages
command line option.
For example, to include it when starting the spark shell:
$ bin/spark-shell --packages org.apache.bahir:spark-streaming-pubnub_2.11:2.3.1
Unlike using --jars
, using --packages
ensures that this library and its dependencies will be added to the classpath.
The --packages
argument can also be used with bin/spark-submit
.
Connector leverages official Java client for PubNub cloud infrastructure. You can import the PubNubUtils
class and create input stream by calling PubNubUtils.createStream()
as shown below. Security and performance related
features shall be setup inside standard PNConfiguration
object. We advise to configure reconnection policy so that
temporary network outages do not interrupt processing job. Users may subscribe to multiple channels and channel groups,
as well as specify time token to start receiving messages since given point in time.
For complete code examples, please review examples directory.
import com.pubnub.api.PNConfiguration
import com.pubnub.api.enums.PNReconnectionPolicy
import org.apache.spark.streaming.pubnub.{PubNubUtils, SparkPubNubMessage}
val config = new PNConfiguration
config.setSubscribeKey(subscribeKey)
config.setSecure(true)
config.setReconnectionPolicy(PNReconnectionPolicy.LINEAR)
val channel = "my-channel"
val pubNubStream: ReceiverInputDStream[SparkPubNubMessage] = PubNubUtils.createStream(
ssc, config, Seq(channel), Seq(), None, StorageLevel.MEMORY_AND_DISK_SER_2
)
import com.pubnub.api.PNConfiguration
import com.pubnub.api.enums.PNReconnectionPolicy
import org.apache.spark.streaming.pubnub.PubNubUtils
import org.apache.spark.streaming.pubnub.SparkPubNubMessage
PNConfiguration config = new PNConfiguration()
config.setSubscribeKey(subscribeKey)
config.setSecure(true)
config.setReconnectionPolicy(PNReconnectionPolicy.LINEAR)
Set<String> channels = new HashSet<String>() {
add("my-channel");
};
ReceiverInputDStream<SparkPubNubMessage> pubNubStream = PubNubUtils.createStream(
ssc, config, channels, Collections.EMPTY_SET, null,
StorageLevel.MEMORY_AND_DISK_SER_2()
)
Unit tests take advantage of publicly available demo subscription and and publish key, which has limited request rate.