[SPARK-9244] Increase some memory defaults

There are a few memory limits that people hit often and that we could
make higher, especially now that memory sizes have grown.

- spark.akka.frameSize: This defaults at 10 but is often hit for map
  output statuses in large shuffles. This memory is not fully allocated
  up-front, so we can just make this larger and still not affect jobs
  that never sent a status that large. We increase it to 128.

- spark.executor.memory: Defaults at 512m, which is really small. We
  increase it to 1g.

Author: Matei Zaharia <matei@databricks.com>

Closes #7586 from mateiz/configs and squashes the following commits:

ce0038a [Matei Zaharia] [SPARK-9244] Increase some memory defaults

1 files changed, 5 insertions, 5 deletions

diff --git a/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala b/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
index f150fec7db..5674dcd669 100644
--- a/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
+++ b/repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala
@@ -211,7 +211,7 @@ class ReplSuite extends SparkFunSuite {
   }
 
   test("local-cluster mode") {
-    val output = runInterpreter("local-cluster[1,1,512]",
+    val output = runInterpreter("local-cluster[1,1,1024]",
       """
         |var v = 7
         |def getV() = v
@@ -233,7 +233,7 @@ class ReplSuite extends SparkFunSuite {
   }
 
   test("SPARK-1199 two instances of same class don't type check.") {
-    val output = runInterpreter("local-cluster[1,1,512]",
+    val output = runInterpreter("local-cluster[1,1,1024]",
       """
         |case class Sum(exp: String, exp2: String)
         |val a = Sum("A", "B")
@@ -256,7 +256,7 @@ class ReplSuite extends SparkFunSuite {
 
   test("SPARK-2576 importing SQLContext.implicits._") {
     // We need to use local-cluster to test this case.
-    val output = runInterpreter("local-cluster[1,1,512]",
+    val output = runInterpreter("local-cluster[1,1,1024]",
       """
         |val sqlContext = new org.apache.spark.sql.SQLContext(sc)
         |import sqlContext.implicits._
@@ -325,9 +325,9 @@ class ReplSuite extends SparkFunSuite {
     assertDoesNotContain("Exception", output)
     assertContains("ret: Array[Foo] = Array(Foo(1),", output)
   }
-  
+
   test("collecting objects of class defined in repl - shuffling") {
-    val output = runInterpreter("local-cluster[1,1,512]",
+    val output = runInterpreter("local-cluster[1,1,1024]",
       """
         |case class Foo(i: Int)
         |val list = List((1, Foo(1)), (1, Foo(2)))