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author | jerryshao <saisai.shao@intel.com> | 2013-07-02 13:48:09 +0800 |
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committer | jerryshao <saisai.shao@intel.com> | 2013-07-24 14:57:47 +0800 |
commit | 5730193e0c8639b654f489c5956e31451d81b7db (patch) | |
tree | a8bf7ab87eec260bd6d44863b23a0e8e4bcf8f02 /core/src | |
parent | a79f6077f0b3bc0110f6e8e15de3068f296f3b81 (diff) | |
download | spark-5730193e0c8639b654f489c5956e31451d81b7db.tar.gz spark-5730193e0c8639b654f489c5956e31451d81b7db.tar.bz2 spark-5730193e0c8639b654f489c5956e31451d81b7db.zip |
Fix some typos
Diffstat (limited to 'core/src')
6 files changed, 10 insertions, 15 deletions
diff --git a/core/src/main/scala/spark/SparkContext.scala b/core/src/main/scala/spark/SparkContext.scala index f1d9d5e442..1e59a4d47d 100644 --- a/core/src/main/scala/spark/SparkContext.scala +++ b/core/src/main/scala/spark/SparkContext.scala @@ -69,8 +69,6 @@ import spark.util.{MetadataCleaner, TimeStampedHashMap} import ui.{SparkUI} import spark.metrics._ -import scala.util.DynamicVariable - /** * Main entry point for Spark functionality. A SparkContext represents the connection to a Spark * cluster, and can be used to create RDDs, accumulators and broadcast variables on that cluster. diff --git a/core/src/main/scala/spark/SparkEnv.scala b/core/src/main/scala/spark/SparkEnv.scala index 204049d927..4a1d341f5d 100644 --- a/core/src/main/scala/spark/SparkEnv.scala +++ b/core/src/main/scala/spark/SparkEnv.scala @@ -31,7 +31,6 @@ import spark.network.ConnectionManager import spark.serializer.{Serializer, SerializerManager} import spark.util.AkkaUtils import spark.api.python.PythonWorkerFactory -import spark.metrics._ /** diff --git a/core/src/main/scala/spark/metrics/sink/JmxSink.scala b/core/src/main/scala/spark/metrics/sink/JmxSink.scala index f097a631c0..6a40885b78 100644 --- a/core/src/main/scala/spark/metrics/sink/JmxSink.scala +++ b/core/src/main/scala/spark/metrics/sink/JmxSink.scala @@ -1,18 +1,18 @@ package spark.metrics.sink -import java.util.Properties - import com.codahale.metrics.{JmxReporter, MetricRegistry} +import java.util.Properties + class JmxSink(val property: Properties, val registry: MetricRegistry) extends Sink { val reporter: JmxReporter = JmxReporter.forRegistry(registry).build() - + override def start() { reporter.start() } - + override def stop() { reporter.stop() } - + } diff --git a/core/src/main/scala/spark/metrics/source/JvmSource.scala b/core/src/main/scala/spark/metrics/source/JvmSource.scala index 8f0870c1a0..79f505079c 100644 --- a/core/src/main/scala/spark/metrics/source/JvmSource.scala +++ b/core/src/main/scala/spark/metrics/source/JvmSource.scala @@ -3,15 +3,13 @@ package spark.metrics.source import com.codahale.metrics.MetricRegistry import com.codahale.metrics.jvm.{GarbageCollectorMetricSet, MemoryUsageGaugeSet} -import java.util.{Map, HashMap => JHashMap} - class JvmSource extends Source { val sourceName = "jvm" val metricRegistry = new MetricRegistry() - + val gcMetricSet = new GarbageCollectorMetricSet val memGaugeSet = new MemoryUsageGaugeSet - + metricRegistry.registerAll(gcMetricSet) metricRegistry.registerAll(memGaugeSet) } diff --git a/core/src/main/scala/spark/metrics/source/Source.scala b/core/src/main/scala/spark/metrics/source/Source.scala index 17cbe2f85a..5607e2c40a 100644 --- a/core/src/main/scala/spark/metrics/source/Source.scala +++ b/core/src/main/scala/spark/metrics/source/Source.scala @@ -1,9 +1,8 @@ package spark.metrics.source -import com.codahale.metrics.MetricSet import com.codahale.metrics.MetricRegistry trait Source { def sourceName: String - def metricRegistry: MetricRegistry + def metricRegistry: MetricRegistry } diff --git a/core/src/main/scala/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/spark/scheduler/DAGScheduler.scala index 781e49bdec..9b45fc2938 100644 --- a/core/src/main/scala/spark/scheduler/DAGScheduler.scala +++ b/core/src/main/scala/spark/scheduler/DAGScheduler.scala @@ -30,7 +30,7 @@ import spark.partial.{ApproximateActionListener, ApproximateEvaluator, PartialRe import spark.scheduler.cluster.TaskInfo import spark.storage.{BlockManager, BlockManagerMaster} import spark.util.{MetadataCleaner, TimeStampedHashMap} -import spark.metrics.MetricsSystem + /** * A Scheduler subclass that implements stage-oriented scheduling. It computes a DAG of stages for * each job, keeps track of which RDDs and stage outputs are materialized, and computes a minimal @@ -126,6 +126,7 @@ class DAGScheduler( val resultStageToJob = new HashMap[Stage, ActiveJob] val metadataCleaner = new MetadataCleaner("DAGScheduler", this.cleanup) + // Start a thread to run the DAGScheduler event loop def start() { new Thread("DAGScheduler") { |