Hi,
I'm concerned with the OOME in local mode with the version built today:
scala> val intsMM = 1 to math.pow(10, 3).toInt
intsMM: scala.collection.immutable.Range.Inclusive = Range(1, 2, 3, 4,
5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57,
58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74,
75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91,
92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106,
107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134,
135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148,
149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162,
163, 164, 165, 166, 167, 168, 169, 1...
scala> val df = intsMM.toDF("n").withColumn("m", 'n % 2)
df: org.apache.spark.sql.DataFrame = [n: int, m: int]
scala> df.groupBy('m).agg(sum('n)).show
...
16/09/06 22:28:02 ERROR Executor: Exception in task 6.0 in stage 0.0 (TID 6)
java.lang.OutOfMemoryError: Unable to acquire 262144 bytes of memory, got 0
...
Please see
https://gist.github.com/jaceklaskowski/906d62b830f6c967a7eee5f8eb6e9237
and let me know if I should file an issue. I don't think 10^3 elements
and groupBy should kill spark-shell.
Pozdrawiam,
Jacek Laskowski
----
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