diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index f91392b3510e227aca04b6a1bd42898ba0e7d6e6..66c226e4913621e11fd11a63898d026d35fa2f5e 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -244,6 +244,10 @@ class SparkContext(
localProperties.set(new Properties())
}
+ /**
+ * Set a local property that affects jobs submitted from this thread, such as the
+ * Spark fair scheduler pool.
+ */
def setLocalProperty(key: String, value: String) {
if (localProperties.get() == null) {
localProperties.set(new Properties())
@@ -255,6 +259,10 @@ class SparkContext(
}
}
+ /**
+ * Get a local property set in this thread, or null if it is missing. See
+ * [[org.apache.spark.SparkContext.setLocalProperty]].
+ */
def getLocalProperty(key: String): String =
Option(localProperties.get).map(_.getProperty(key)).getOrElse(null)
@@ -265,7 +273,7 @@ class SparkContext(
}
/**
- * Assigns a group id to all the jobs started by this thread until the group id is set to a
+ * Assigns a group ID to all the jobs started by this thread until the group ID is set to a
* different value or cleared.
*
* Often, a unit of execution in an application consists of multiple Spark actions or jobs.
@@ -288,7 +296,7 @@ class SparkContext(
setLocalProperty(SparkContext.SPARK_JOB_GROUP_ID, groupId)
}
- /** Clear the job group id and its description. */
+ /** Clear the current thread's job group ID and its description. */
def clearJobGroup() {
setLocalProperty(SparkContext.SPARK_JOB_DESCRIPTION, null)
setLocalProperty(SparkContext.SPARK_JOB_GROUP_ID, null)
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala
index da30cf619a1d0ecfabf501faecc0e2b0f0a64738..b0dedc6f4eb135f5751414921d21eb4fd2110080 100644
--- a/core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala
@@ -207,13 +207,13 @@ class JavaDoubleRDD(val srdd: RDD[scala.Double]) extends JavaRDDLike[Double, Jav
* e.g. for the array
* [1,10,20,50] the buckets are [1,10) [10,20) [20,50]
* e.g 1<=x<10 , 10<=x<20, 20<=x<50
- * And on the input of 1 and 50 we would have a histogram of 1,0,0
- *
+ * And on the input of 1 and 50 we would have a histogram of 1,0,0
+ *
* Note: if your histogram is evenly spaced (e.g. [0, 10, 20, 30]) this can be switched
* from an O(log n) inseration to O(1) per element. (where n = # buckets) if you set evenBuckets
* to true.
* buckets must be sorted and not contain any duplicates.
- * buckets array must be at least two elements
+ * buckets array must be at least two elements
* All NaN entries are treated the same. If you have a NaN bucket it must be
* the maximum value of the last position and all NaN entries will be counted
* in that bucket.
@@ -225,6 +225,12 @@ class JavaDoubleRDD(val srdd: RDD[scala.Double]) extends JavaRDDLike[Double, Jav
def histogram(buckets: Array[Double], evenBuckets: Boolean): Array[Long] = {
srdd.histogram(buckets.map(_.toDouble), evenBuckets)
}
+
+ /** Assign a name to this RDD */
+ def setName(name: String): JavaDoubleRDD = {
+ srdd.setName(name)
+ this
+ }
}
object JavaDoubleRDD {
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
index 55c87450ac65ae5256cba054cf4ce7684773c592..0fb7e195b34c4a9b530e2f718fa98f86d391303d 100644
--- a/core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
@@ -647,6 +647,12 @@ class JavaPairRDD[K, V](val rdd: RDD[(K, V)])(implicit val kClassTag: ClassTag[K
def countApproxDistinctByKey(relativeSD: Double, numPartitions: Int): JavaRDD[(K, Long)] = {
rdd.countApproxDistinctByKey(relativeSD, numPartitions)
}
+
+ /** Assign a name to this RDD */
+ def setName(name: String): JavaPairRDD[K, V] = {
+ rdd.setName(name)
+ this
+ }
}
object JavaPairRDD {
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala
index 037cd1c774691e6cd2122d03dea488d1a57f0517..7d48ce01cf2cc9606c786e14018ad8bacf2f7876 100644
--- a/core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala
@@ -127,6 +127,12 @@ JavaRDDLike[T, JavaRDD[T]] {
wrapRDD(rdd.subtract(other, p))
override def toString = rdd.toString
+
+ /** Assign a name to this RDD */
+ def setName(name: String): JavaRDD[T] = {
+ rdd.setName(name)
+ this
+ }
}
object JavaRDD {
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala b/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
index 924d8af0602f4a7fa8e33b637ebd5af23059ad81..ebbbbd88061a1df7c205638f0872d7b9f724e107 100644
--- a/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
@@ -244,6 +244,11 @@ trait JavaRDDLike[T, This <: JavaRDDLike[T, This]] extends Serializable {
new java.util.ArrayList(arr)
}
+ /**
+ * Return an array that contains all of the elements in this RDD.
+ */
+ def toArray(): JList[T] = collect()
+
/**
* Return an array that contains all of the elements in a specific partition of this RDD.
*/
@@ -455,4 +460,5 @@ trait JavaRDDLike[T, This <: JavaRDDLike[T, This]] extends Serializable {
*/
def countApproxDistinct(relativeSD: Double = 0.05): Long = rdd.countApproxDistinct(relativeSD)
+ def name(): String = rdd.name
}
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala
index e93b10fd7eecb71b59908a54a765d0e23b7da7b1..7a6f044965027d26bd7af468eb225784c76ccc31 100644
--- a/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala
@@ -425,6 +425,51 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
def clearCallSite() {
sc.clearCallSite()
}
+
+ /**
+ * Set a local property that affects jobs submitted from this thread, such as the
+ * Spark fair scheduler pool.
+ */
+ def setLocalProperty(key: String, value: String): Unit = sc.setLocalProperty(key, value)
+
+ /**
+ * Get a local property set in this thread, or null if it is missing. See
+ * [[org.apache.spark.api.java.JavaSparkContext.setLocalProperty]].
+ */
+ def getLocalProperty(key: String): String = sc.getLocalProperty(key)
+
+ /**
+ * Assigns a group ID to all the jobs started by this thread until the group ID is set to a
+ * different value or cleared.
+ *
+ * Often, a unit of execution in an application consists of multiple Spark actions or jobs.
+ * Application programmers can use this method to group all those jobs together and give a
+ * group description. Once set, the Spark web UI will associate such jobs with this group.
+ *
+ * The application can also use [[org.apache.spark.api.java.JavaSparkContext.cancelJobGroup]]
+ * to cancel all running jobs in this group. For example,
+ * {{{
+ * // In the main thread:
+ * sc.setJobGroup("some_job_to_cancel", "some job description");
+ * rdd.map(...).count();
+ *
+ * // In a separate thread:
+ * sc.cancelJobGroup("some_job_to_cancel");
+ * }}}
+ */
+ def setJobGroup(groupId: String, description: String): Unit = sc.setJobGroup(groupId, description)
+
+ /** Clear the current thread's job group ID and its description. */
+ def clearJobGroup(): Unit = sc.clearJobGroup()
+
+ /**
+ * Cancel active jobs for the specified group. See
+ * [[org.apache.spark.api.java.JavaSparkContext.setJobGroup]] for more information.
+ */
+ def cancelJobGroup(groupId: String): Unit = sc.cancelJobGroup(groupId)
+
+ /** Cancel all jobs that have been scheduled or are running. */
+ def cancelAllJobs(): Unit = sc.cancelAllJobs()
}
object JavaSparkContext {
@@ -436,5 +481,12 @@ object JavaSparkContext {
* Find the JAR from which a given class was loaded, to make it easy for users to pass
* their JARs to SparkContext.
*/
- def jarOfClass(cls: Class[_]) = SparkContext.jarOfClass(cls).toArray
+ def jarOfClass(cls: Class[_]): Array[String] = SparkContext.jarOfClass(cls).toArray
+
+ /**
+ * Find the JAR that contains the class of a particular object, to make it easy for users
+ * to pass their JARs to SparkContext. In most cases you can call jarOfObject(this) in
+ * your driver program.
+ */
+ def jarOfObject(obj: AnyRef): Array[String] = SparkContext.jarOfObject(obj).toArray
}