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author | Tathagata Das <tathagata.das1565@gmail.com> | 2014-01-13 23:23:46 -0800 |
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committer | Tathagata Das <tathagata.das1565@gmail.com> | 2014-01-13 23:23:46 -0800 |
commit | 4e497db8f3826cf5142b2165a08d02c6f3c2cd90 (patch) | |
tree | 9ec25e86ccf8986035215e51f7b0e1ba1b96dad6 /examples | |
parent | 1233b3de01be1ff57910786f5f3e2e2a23e228ab (diff) | |
download | spark-4e497db8f3826cf5142b2165a08d02c6f3c2cd90.tar.gz spark-4e497db8f3826cf5142b2165a08d02c6f3c2cd90.tar.bz2 spark-4e497db8f3826cf5142b2165a08d02c6f3c2cd90.zip |
Removed StreamingContext.registerInputStream and registerOutputStream - they were useless as InputDStream has been made to register itself. Also made DStream.register() private[streaming] - not useful to expose the confusing function. Updated a lot of documentation.
Diffstat (limited to 'examples')
-rw-r--r-- | examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala b/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala index 25f7013307..0226475712 100644 --- a/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala +++ b/examples/src/main/scala/org/apache/spark/streaming/examples/NetworkWordCount.scala @@ -19,6 +19,7 @@ package org.apache.spark.streaming.examples import org.apache.spark.streaming.{Seconds, StreamingContext} import org.apache.spark.streaming.StreamingContext._ +import org.apache.spark.storage.StorageLevel /** * Counts words in text encoded with UTF8 received from the network every second. @@ -48,7 +49,7 @@ object NetworkWordCount { // Create a NetworkInputDStream on target ip:port and count the // words in input stream of \n delimited text (eg. generated by 'nc') - val lines = ssc.socketTextStream(args(1), args(2).toInt) + val lines = ssc.socketTextStream(args(1), args(2).toInt, StorageLevel.MEMORY_ONLY_SER) val words = lines.flatMap(_.split(" ")) val wordCounts = words.map(x => (x, 1)).reduceByKey(_ + _) wordCounts.print() |