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| author | Matei Zaharia <matei@eecs.berkeley.edu> | 2012-09-26 23:53:38 -0700 |
|---|---|---|
| committer | Matei Zaharia <matei@eecs.berkeley.edu> | 2012-09-26 23:53:38 -0700 |
| commit | bf18e0994e48d6e9ef5f4feb2d3dff8e7c719954 (patch) | |
| tree | 5049a366ef1b24c85faf33c4ec865ca528f5a4dd /docs | |
| parent | a4093f75637910524f501d36b268584006455d9b (diff) | |
| download | spark-bf18e0994e48d6e9ef5f4feb2d3dff8e7c719954.tar.gz spark-bf18e0994e48d6e9ef5f4feb2d3dff8e7c719954.tar.bz2 spark-bf18e0994e48d6e9ef5f4feb2d3dff8e7c719954.zip | |
Minor typos
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/java-programming-guide.md | 2 | ||||
| -rw-r--r-- | docs/running-on-yarn.md | 4 |
2 files changed, 3 insertions, 3 deletions
diff --git a/docs/java-programming-guide.md b/docs/java-programming-guide.md index 2411e07849..4a36934553 100644 --- a/docs/java-programming-guide.md +++ b/docs/java-programming-guide.md @@ -33,7 +33,7 @@ There are a few key differences between the Java and Scala APIs: * RDD methods like `collect()` and `countByKey()` return Java collections types, such as `java.util.List` and `java.util.Map`. * Key-value pairs, which are simply written as `(key, value)` in Scala, are represented - by the `scala.Tuple2` class, and need to be created using `new Tuple2<K, V>(key, value)` + by the `scala.Tuple2` class, and need to be created using `new Tuple2<K, V>(key, value)`. ## RDD Classes diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md index 081b67ae1e..501b19b79e 100644 --- a/docs/running-on-yarn.md +++ b/docs/running-on-yarn.md @@ -18,7 +18,7 @@ separate branch of Spark, called `yarn`, which you can do as follows: - In order to distribute Spark within the cluster, it must be packaged into a single JAR file. This can be done by running `sbt/sbt assembly` - Your application code must be packaged into a separate JAR file. -If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_2.9.1-0.6.0-SNAPSHOT.jar` file can be generated by running `sbt/sbt package`. +If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_2.9.2-0.6.0-SNAPSHOT.jar` file can be generated by running `sbt/sbt package`. # Launching Spark on YARN @@ -35,7 +35,7 @@ The command to launch the YARN Client is as follows: For example: SPARK_JAR=./core/target/spark-core-assembly-0.6.0-SNAPSHOT.jar ./run spark.deploy.yarn.Client \ - --jar examples/target/scala-2.9.1/spark-examples_2.9.1-0.6.0-SNAPSHOT.jar \ + --jar examples/target/scala-2.9.2/spark-examples_2.9.2-0.6.0-SNAPSHOT.jar \ --class spark.examples.SparkPi \ --args standalone \ --num-workers 3 \ |