Repository: spark Updated Branches: refs/heads/master 3c0156899 -> e7c7e51f2
[DOC] Minor modification to Streaming docs with regards to parallel data receiving pwendell tdas Author: Nishkam Ravi <nr...@cloudera.com> Author: nishkamravi2 <nishkamr...@gmail.com> Author: nravi <nr...@c1704.halxg.cloudera.com> Closes #6544 from nishkamravi2/master_nravi and squashes the following commits: 46e8c03 [Nishkam Ravi] Slight modification to streaming docs Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/e7c7e51f Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/e7c7e51f Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/e7c7e51f Branch: refs/heads/master Commit: e7c7e51f2ec158d12a8429f753225c746f92d513 Parents: 3c01568 Author: Nishkam Ravi <nr...@cloudera.com> Authored: Mon Jun 1 21:34:41 2015 +0100 Committer: Sean Owen <so...@cloudera.com> Committed: Mon Jun 1 21:36:50 2015 +0100 ---------------------------------------------------------------------- docs/streaming-programming-guide.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/e7c7e51f/docs/streaming-programming-guide.md ---------------------------------------------------------------------- diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md index bd863d4..42b3394 100644 --- a/docs/streaming-programming-guide.md +++ b/docs/streaming-programming-guide.md @@ -1946,10 +1946,10 @@ creates a single receiver (running on a worker machine) that receives a single s Receiving multiple data streams can therefore be achieved by creating multiple input DStreams and configuring them to receive different partitions of the data stream from the source(s). For example, a single Kafka input DStream receiving two topics of data can be split into two -Kafka input streams, each receiving only one topic. This would run two receivers on two workers, -thus allowing data to be received in parallel, and increasing overall throughput. These multiple -DStream can be unioned together to create a single DStream. Then the transformations that was -being applied on the single input DStream can applied on the unified stream. This is done as follows. +Kafka input streams, each receiving only one topic. This would run two receivers, +allowing data to be received in parallel, and increasing overall throughput. These multiple +DStreams can be unioned together to create a single DStream. Then the transformations that were +being applied on a single input DStream can be applied on the unified stream. This is done as follows. <div class="codetabs"> <div data-lang="scala" markdown="1"> --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
