Spark + MySQL: no spark.read - mysql

Question

I just downloaded Spark 2.2 from the website, and created a simple project with the example from here.
The code is this:
import java.util.Properties
import org.apache.spark
object MysqlTest {
def main(args: Array[String]) {
val jdbcDF = spark.read
.format("jdbc")
.option("url", "jdbc:mysql://localhost/hap")
.option("dbtable", "hap.users")
.option("user", "***")
.option("password", "***")
.load()
}
}
The problem is that apparently spark.read does not exist.
I guess the Spark API's documentation is not up to date and the examples do not work. I would appreciate a working example.

Answer 1

I think you need this :
import org.apache.spark.sql.SparkSession
val spark = SparkSession
.builder()
.appName("Yo bro")
.getOrCreate()

Answer 2

The docs should be correct, but you skipped over the strt where the initialization is explained.https://spark.apache.org/docs/latest/sql-programming-guide.html#starting-point-sparksession
The convention whith spark docs is the spark is a SparkSession instance, so that needs to be created first. You do this with the SparkSessionBuilder.
val spark = SparkSession
.builder()
.appName("Spark SQL basic example")
.config("spark.some.config.option", "some-value")
.getOrCreate()
// For implicit conversions like converting RDDs to DataFrames
import spark.implicits._