Reputation: 2385
I have a dataframe which looks like this:
scala> avgsessiontime.show()
+-----------------+
| avg|
+-----------------+
|2.073455735838315|
+-----------------+
I need to store the value 2.073455735838315 in a variable. I tried using
avgsessiontime.collect
but that starts giving me Task not serializable exceptions. So to avoid that I started using foreachPrtition. But I dont know how to extract the value 2.073455735838315 in an array variable.
scala> avgsessiontime.foreachPartition(x => x.foreach(println))
[2.073455735838315]
But when I do this:
avgsessiontime.foreachPartition(x => for (name <- x) name.get(0))
I get a blank/empty result. Even the length returns empty.
avgsessiontime.foreachPartition(x => for (name <- x) name.length)
I know name is of type org.apache.spark.sql.Row then it should return both those results.
Upvotes: 0
Views: 9706
Reputation: 3250
scala> val df = spark.range(10)
df: org.apache.spark.sql.Dataset[Long] = [id: bigint]
scala> df.show
+---+
| id|
+---+
| 0|
| 1|
| 2|
| 3|
| 4|
| 5|
| 6|
| 7|
| 8|
| 9|
+---+
scala> val variable = df.select("id").as[Long].collect
variable: Array[Long] = Array(0, 1, 2, 3, 4, 5, 6, 7, 8, 9)
Same way you can extract values of any type i.e double,string. You just need to give data type while selecting values from df.
Upvotes: 2
Reputation: 41987
rdd
and dataframes/datasets
are distributed in nature, and foreach
and foreachPartition
are executed on executors, transforming dataframe
or rdd
on executors itself without returning anything. So if you want to return the variable to the driver node then you will have to use collect
.
Supposing you have a dataframe
as
+-----------------+
|avg |
+-----------------+
|2.073455735838315|
|2.073455735838316|
+-----------------+
doing the following will print all the values, which you can store in a variable too
avgsessiontime.rdd.collect().foreach(x => println(x(0)))
it will print
2.073455735838315
2.073455735838316
Now if you want only the first one then you can do
avgsessiontime.rdd.collect()(0)(0)
which will give you
2.073455735838315
I hope the answer is helpful
Upvotes: 1
Reputation: 215107
You might need:
avgsessiontime.first.getDouble(0)
Here use first
to extract the Row
object, and .getDouble(0)
to extract value from the Row
object.
val df = Seq(2.0743).toDF("avg")
df.show
+------+
| avg|
+------+
|2.0743|
+------+
df.first.getDouble(0)
// res6: Double = 2.0743
Upvotes: 3