Created
September 12, 2016 15:13
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/** | |
* Created by Xisco Sastre & Alberto Pou | |
*/ | |
import com.spark.streaming.StreamingLogger | |
import org.apache.spark._ | |
import org.apache.spark.streaming._ | |
import org.apache.spark.streaming.twitter._ | |
import com.datastax.spark.connector.cql.CassandraConnector | |
import com.datastax.spark.connector._ | |
object TwitterScala { | |
def main(args: Array[String]) { | |
// Set initial properties | |
StreamingLogger.setStreamingLogLevels() | |
Utils.setTwitterProperties() | |
// Streaming definition (In local: .setMaster("local[n]")) | |
val conf = new SparkConf().setAppName("CloudProject") | |
.set("spark.cassandra.connection.host", "cassandra-01.xstrcbt.com") | |
val ssc = new StreamingContext(conf, Seconds(1)) | |
val filter = Array(args(0)) | |
val stream = TwitterUtils.createStream(ssc, None, filter) | |
// Cassandra connector configuration | |
CassandraConnector(conf).withSessionDo { session => | |
session.execute("CREATE KEYSPACE IF NOT EXISTS tensorsparkkandra WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 2 }") | |
session.execute("USE tensorsparkkandra") | |
session.execute("CREATE TABLE IF NOT EXISTS tensorsparkkandra.images (imgid bigint, url text, category text, confidence double, Primary KEY (imgid, category, confidence))") | |
} | |
// Get tweet's media | |
val media_computed = stream.filter(tweet => tweet.getMediaEntities.nonEmpty) | |
.map(tweet => Utils.computeMediaObject(tweet.getMediaEntities()(0).getId, tweet.getMediaEntities()(0).getMediaURL)) | |
// Save images in Cassandra DB | |
media_computed.foreachRDD(rdd => { | |
rdd.saveToCassandra("tensorsparkkandra", "images", SomeColumns("imgid", "category", "confidence", "url")) | |
}) | |
// Start streaming | |
ssc.start | |
// Wait for the computation to terminate | |
ssc.awaitTermination | |
} | |
} |
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