Github user dorx commented on a diff in the pull request:
https://github.com/apache/spark/pull/1520#discussion_r15265297
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/rdd/RandomRDD.scala
---
@@ -0,0 +1,140 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.rdd
+
+import org.apache.spark.{Partition, SparkContext, TaskContext}
+import org.apache.spark.mllib.linalg.{DenseVector, Vector}
+import org.apache.spark.mllib.random.DistributionGenerator
+import org.apache.spark.rdd.RDD
+import org.apache.spark.util.Utils
+
+private[mllib] class RandomRDDPartition(val idx: Int,
+ val size: Long,
--- End diff --
There's no restrictions on the size of each Partition from the trait (in
fact it doesn't even need to have a size). The restriction of `size <=
Int.MaxValue` happens when the RDD is cached. In the case of `glom`, the size
of the entire RDD needs to be `<= Int.MaxValue` since that's the max size of an
array.
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