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[Minor] A few typos in comments and log messages

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Author: Andrew Or <andrewor14@gmail.com>
Author: Andrew Or <andrew@databricks.com>

Closes #3021 from andrewor14/typos and squashes the following commits:

daaf417 [Andrew Or] Merge branch 'master' of github.com:apache/spark into typos
4838ae4 [Andrew Or] Merge branch 'master' of github.com:apache/spark into typos
026d426 [Andrew Or] Merge branch 'master' of github.com:andrewor14/spark into typos
a81ae8f [Andrew Or] Some typos
This commit is contained in:
Andrew Or 2014-10-30 15:32:11 -07:00 committed by Andrew Or
parent 26f092d4e3
commit 5231a3f228
3 changed files with 4 additions and 4 deletions
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2
core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala
View file

@ -93,7 +93,7 @@ private[spark] class TaskResultGetter(sparkEnv: SparkEnv, scheduler: TaskSchedul
}
} catch {
case cnd: ClassNotFoundException =>
// Log an error but keep going here -- the task failed, so not catastropic if we can't
// Log an error but keep going here -- the task failed, so not catastrophic if we can't
// deserialize the reason.
val loader = Utils.getContextOrSparkClassLoader
logError(

4
core/src/main/scala/org/apache/spark/scheduler/TaskScheduler.scala
View file

@ -23,7 +23,7 @@ import org.apache.spark.storage.BlockManagerId
/**
* Low-level task scheduler interface, currently implemented exclusively by TaskSchedulerImpl.
* This interface allows plugging in different task schedulers. Each TaskScheduler schedulers tasks
* This interface allows plugging in different task schedulers. Each TaskScheduler schedules tasks
* for a single SparkContext. These schedulers get sets of tasks submitted to them from the
* DAGScheduler for each stage, and are responsible for sending the tasks to the cluster, running
* them, retrying if there are failures, and mitigating stragglers. They return events to the
@ -41,7 +41,7 @@ private[spark] trait TaskScheduler {
// Invoked after system has successfully initialized (typically in spark context).
// Yarn uses this to bootstrap allocation of resources based on preferred locations,
// wait for slave registerations, etc.
// wait for slave registrations, etc.
def postStartHook() { }
// Disconnect from the cluster.

2
yarn/common/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMasterArguments.scala
View file

@ -82,7 +82,7 @@ class ApplicationMasterArguments(val args: Array[String]) {
| --jar JAR_PATH Path to your application's JAR file
| --class CLASS_NAME Name of your application's main class
| --args ARGS Arguments to be passed to your application's main class.
| Mutliple invocations are possible, each will be passed in order.
| Multiple invocations are possible, each will be passed in order.
| --num-executors NUM Number of executors to start (Default: 2)
| --executor-cores NUM Number of cores for the executors (Default: 1)
| --executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G)