>>> row_1 = psq.Row(first=1, second=2)
>>> row_2 = psq.Row(second=22, first=11)
>>> spark.sparkContext.parallelize([row_1, row_2]).toDF().collect()
[Row(first=1, second=2), Row(first=22, second=11)]
(Spark 3.0.1)
What is happening in the above? When .toDF() is called it appears that
order is m
On 5/11/20 2:48 pm, 杨仲鲍 wrote:
Code
```scala
object Suit{ case class Data(node:String,root:String) def apply[A](xs:A
*):List[A] = xs.toList
def main(args: Array[String]): Unit ={ val spark = SparkSession.builder()
.master("local") .appName("MoneyBackTest") .getOrCreate() import
spark.imp
Hello, spark experts:
I am trying to figure out how to encrypt traffic when using spark on k8s.
>From the spark security doc, I learned how to do the RPC encryption between
spark driver and spark executors. But I do not understand how to do it
between spark driver and K8S API Server. (and/maybe be
FYI, SPARK-30294 is merged and will be available in Spark 3.1.0. This
reduces the number of temp files for the state store to half when you use
streaming aggregation.
1. https://issues.apache.org/jira/browse/SPARK-30294
On Thu, Oct 8, 2020 at 11:55 AM Jungtaek Lim
wrote:
> I can't spend too muc
