[
https://issues.apache.org/jira/browse/SPARK-15810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
koert kuipers updated SPARK-15810:
----------------------------------
Description:
{noformat}
val ds1 = List(("a", 1), ("a", 2), ("a", 3)).toDS
val ds2 = ds1.map{ case (k, v) => (k, if (v > 1) Some(v) else None) }
val ds3 = ds2.groupByKey(_._1).agg(new Aggregator[(String, Option[Int]),
Option[Int], Option[Int]]{
def zero: Option[Int] = None
def reduce(b: Option[Int], a: (String, Option[Int])): Option[Int] =
b.map(bv => a._2.map(av => bv + av).getOrElse(bv)).orElse(a._2)
def merge(b1: Option[Int], b2: Option[Int]): Option[Int] = b1.map(b1v
=> b2.map(b2v => b1v + b2v).getOrElse(b1v)).orElse(b2)
def finish(reduction: Option[Int]): Option[Int] = reduction
def bufferEncoder: Encoder[Option[Int]] =
implicitly[Encoder[Option[Int]]]
def outputEncoder: Encoder[Option[Int]] =
implicitly[Encoder[Option[Int]]]
}.toColumn)
ds3.printSchema
ds3.show
{noformat}
i get as output a somewhat odd looking schema, and after that the program just
hangs pinning one cpu at 100%. the data never shows.
output:
{noformat}
root
|-- value: string (nullable = true)
|-- $anon$1(scala.Tuple2): struct (nullable = true)
| |-- value: integer (nullable = true)
{noformat}
was:
{noformat}
val ds1 = List(("a", 1), ("a", 2), ("a", 3)).toDS
val df1 = ds1.map{ case (k, v) => (k, if (v > 1) Some(v) else None)
}.toDF("k", "v")
val df2 = df1.groupBy("k").agg(new Aggregator[(String, Option[Int]),
Option[Int], Option[Int]]{
def zero: Option[Int] = None
def reduce(b: Option[Int], a: (String, Option[Int])): Option[Int] =
b.map(bv => a._2.map(av => bv + av).getOrElse(bv)).orElse(a._2)
def merge(b1: Option[Int], b2: Option[Int]): Option[Int] = b1.map(b1v
=> b2.map(b2v => b1v + b2v).getOrElse(b1v)).orElse(b2)
def finish(reduction: Option[Int]): Option[Int] = reduction
def bufferEncoder: Encoder[Option[Int]] =
implicitly[Encoder[Option[Int]]]
def outputEncoder: Encoder[Option[Int]] =
implicitly[Encoder[Option[Int]]]
}.toColumn)
df2.printSchema
df2.show
{noformat}
i get as output a somewhat odd looking schema, and after that the program just
hangs pinning one cpu at 100%. the data never shows.
output:
{noformat}
root
|-- k: string (nullable = true)
|-- $anon$1(org.apache.spark.sql.Row): struct (nullable = true)
| |-- value: integer (nullable = true)
{noformat}
> Aggregator doesn't play nice with Option
> ----------------------------------------
>
> Key: SPARK-15810
> URL: https://issues.apache.org/jira/browse/SPARK-15810
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Environment: spark 2.0.0-SNAPSHOT
> Reporter: koert kuipers
>
> {noformat}
> val ds1 = List(("a", 1), ("a", 2), ("a", 3)).toDS
> val ds2 = ds1.map{ case (k, v) => (k, if (v > 1) Some(v) else None) }
> val ds3 = ds2.groupByKey(_._1).agg(new Aggregator[(String,
> Option[Int]), Option[Int], Option[Int]]{
> def zero: Option[Int] = None
> def reduce(b: Option[Int], a: (String, Option[Int])): Option[Int] =
> b.map(bv => a._2.map(av => bv + av).getOrElse(bv)).orElse(a._2)
> def merge(b1: Option[Int], b2: Option[Int]): Option[Int] = b1.map(b1v
> => b2.map(b2v => b1v + b2v).getOrElse(b1v)).orElse(b2)
> def finish(reduction: Option[Int]): Option[Int] = reduction
> def bufferEncoder: Encoder[Option[Int]] =
> implicitly[Encoder[Option[Int]]]
> def outputEncoder: Encoder[Option[Int]] =
> implicitly[Encoder[Option[Int]]]
> }.toColumn)
> ds3.printSchema
> ds3.show
> {noformat}
> i get as output a somewhat odd looking schema, and after that the program
> just hangs pinning one cpu at 100%. the data never shows.
> output:
> {noformat}
> root
> |-- value: string (nullable = true)
> |-- $anon$1(scala.Tuple2): struct (nullable = true)
> | |-- value: integer (nullable = true)
> {noformat}
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