Use cache or persist. The dataframe will be materialized when the 1st
action is called and then be reused from memory for each following usage
Le 1 mai 2017 4:51 PM, "Saulo Ricci" a écrit :
> Hi,
>
>
> I have the following code that is reading a table to a apache spark
> DataFrame:
>
> val df =
Hi,
I have the following code that is reading a table to a apache spark
DataFrame:
val df = spark.read.format("jdbc")
.option("url","jdbc:postgresql:host/database")
.option("dbtable","tablename").option("user","username")
.option("password", "password")
.load()
When I first
