Reputation: 21
intellij(spark)--->Hive(Remote)---storage on S3(orc format) Not able to read remote Hive table through spark/scala.
was able to read table schema but not able to read table.
Error -Exception in thread "main" java.lang.IllegalArgumentException: AWS Access Key ID and Secret Access Key must be specified as the username or password (respectively) of a s3 URL, or by setting the fs.s3.awsAccessKeyId or fs.s3.awsSecretAccessKey properties (respectively).
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.sql.{Encoders, SparkSession}
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.sql.hive.orc._
import org.apache.spark.sql.types.StructType
object mainclas {
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder
.master("local[*]")
.appName("hivetable")
.config("hive.metastore.uris", "thrift://10.20.30.40:9083")
.config("access-key","PQHFFDEGGDDVDVV")
.config("secret-key","FFGSGHhjhhhdjhJHJHHJGJHGjHH")
.config("format", "orc")
.enableHiveSupport()
.getOrCreate()
val res = spark.sqlContext.sql("show tables").show()
val res1 =spark.sql("select *from ace.visit limit 5").show()
}
}`
Upvotes: 2
Views: 1458
Reputation: 13430
you need to prefix all the fs.
options with spark.hadoop
if you are setting them in the spark config. And as noted: use s3a over s3n if you can.
Upvotes: 0
Reputation: 4132
Try this:
val spark = SparkSession.builder
.master("local[*]")
.appName("hivetable")
.config("hive.metastore.uris", "thrift://10.20.30.40:9083")
.config("fs.s3n.awsAccessKeyId","PQHFFDEGGDDVDVV")
.config("fs.s3n.awsSecretAccessKey","FFGSGHhjhhhdjhJHJHHJGJHGjHH")
.config("format", "orc")
.enableHiveSupport()
.getOrCreate()
Upvotes: 1