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| author | cody koeninger <cody@koeninger.org> | 2016-05-11 12:15:41 -0700 |
|---|---|---|
| committer | Reynold Xin <rxin@databricks.com> | 2016-05-11 12:15:41 -0700 |
| commit | 89e67d6667d5f8be9c6fb6c120fbcd350ae2950d (patch) | |
| tree | 670699f20dcc785e1889c8c1afc4db1a0b2b11ee /docs/streaming-programming-guide.md | |
| parent | 6d0368ab8d1043735e5fe89f801aae1c6826876c (diff) | |
| download | spark-89e67d6667d5f8be9c6fb6c120fbcd350ae2950d.tar.gz spark-89e67d6667d5f8be9c6fb6c120fbcd350ae2950d.tar.bz2 spark-89e67d6667d5f8be9c6fb6c120fbcd350ae2950d.zip | |
[SPARK-15085][STREAMING][KAFKA] Rename streaming-kafka artifact
## What changes were proposed in this pull request?
Renaming the streaming-kafka artifact to include kafka version, in anticipation of needing a different artifact for later kafka versions
## How was this patch tested?
Unit tests
Author: cody koeninger <cody@koeninger.org>
Closes #12946 from koeninger/SPARK-15085.
Diffstat (limited to 'docs/streaming-programming-guide.md')
| -rw-r--r-- | docs/streaming-programming-guide.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md index 7f6c0ed699..9ca9b1844c 100644 --- a/docs/streaming-programming-guide.md +++ b/docs/streaming-programming-guide.md @@ -416,7 +416,7 @@ some of the common ones are as follows. <table class="table"> <tr><th>Source</th><th>Artifact</th></tr> -<tr><td> Kafka </td><td> spark-streaming-kafka_{{site.SCALA_BINARY_VERSION}} </td></tr> +<tr><td> Kafka </td><td> spark-streaming-kafka-0-8_{{site.SCALA_BINARY_VERSION}} </td></tr> <tr><td> Flume </td><td> spark-streaming-flume_{{site.SCALA_BINARY_VERSION}} </td></tr> <tr><td> Kinesis<br/></td><td>spark-streaming-kinesis-asl_{{site.SCALA_BINARY_VERSION}} [Amazon Software License] </td></tr> <tr><td></td><td></td></tr> @@ -1892,7 +1892,7 @@ To run a Spark Streaming applications, you need to have the following. if your application uses [advanced sources](#advanced-sources) (e.g. Kafka, Flume), then you will have to package the extra artifact they link to, along with their dependencies, in the JAR that is used to deploy the application. For example, an application using `KafkaUtils` - will have to include `spark-streaming-kafka_{{site.SCALA_BINARY_VERSION}}` and all its + will have to include `spark-streaming-kafka-0-8_{{site.SCALA_BINARY_VERSION}}` and all its transitive dependencies in the application JAR. - *Configuring sufficient memory for the executors* - Since the received data must be stored in |