Hello World,
I am familiar with Python and I am learning Spark-Scala.
I want to build a DataFrame which has structure desribed by this syntax:
*// Prepare training data from a list of (label, features) tuples.val
training = spark.createDataFrame(Seq( (1.1, Vectors.dense(1.1, 0.1)),
hello spark-world,
How to use Spark-Scala to download a CSV file from the web and load the
file into a spark-csv DataFrame?
Currently I depend on curl in a shell command to get my CSV file.
Here is the syntax I want to enhance:
*/* fb_csv.scalaThis script should load FB
spark-world,
I am walking through the example here:
https://github.com/databricks/spark-csv#scala-api
The example complains if I try to write a DataFrame to an existing folder:
*val selectedData = df.select("year", "model")selectedData.write
.format("com.databricks.spark.csv")
hello world-of-spark,
I am learning spark today.
I want to understand the spark code in this repo:
https://github.com/databricks/spark-csv
In the README.md I see this info:
Linking
You can link against this library in your program at the following
coordinates:
Scala 2.10
groupId:
hello spark-world,
I am new to spark and want to learn how to use it.
I come from the Python world.
I see an example at the url below:
http://spark.apache.org/docs/latest/ml-pipeline.html#example-estimator-transformer-and-param
What would be an optimal way to run the above example?
In the
hello spark-world,
I am new to spark.
I noticed this online example:
http://spark.apache.org/docs/latest/ml-pipeline.html
I am curious about this syntax:
// Prepare training data from a list of (label, features) tuples.
val training = spark.createDataFrame(Seq(
(1.0,
