Hi All,
I have a sample table(stuends1) in HIVE which I want to connect from
Spark using JDBC (as Hive is not in same cluster). I was just
trying with following code...
def main(args: Array[String]): Unit = {
//Class.forName("org.apache.hive.jdbc.HiveDriver").newInstance()
val conf = new SparkConf().setAppName("SOME APP NAME").setMaster("local[*]")
val sc = new SparkContext(conf)
val spark = SparkSession
.builder()
.appName("Spark Hive Example")
.getOrCreate()
val jdbcDF = spark.read
.format("jdbc")
.option("url", "jdbc:hive2://34.223.237.55:10000")
.option("dbtable", "students1")
.option("user", "hduser")
.option("password", "hadoop")
//.option("driver", "org.apache.hadoop.hive.jdbc.HiveDriver")
.load()
println("able to connect------------------")
jdbcDF.show
jdbcDF.printSchema()
jdbcDF.createOrReplaceTempView("std")
val sqlDF = spark.sql("select * from std")
println("Start println-----")
spark.sqlContext.sql("select * from std").collect().foreach(println)
println("end println-----")
sqlDF.show(false)
}I tried in multiple ways but all the time its showing table structure with column name only. Like ...
+--------------+-------------+-------------+
|students1.name|students1.age|students1.gpa|
+--------------+-------------+-------------+
+--------------+-------------+-------------+
But not data, but able to get data when trying to with dbeaver from
my local with SQL query. From spark, jdbcDF.printSchema() also showing
proper schema , so I guess no issue with connection.
I am using spark 2.1.1 with HIVE 1.2.1. My sbt.build file is like this ....
libraryDependencies ++= Seq(
"log4j" % "log4j" % "1.2.17",
"org.apache.spark" % "spark-core_2.11" % "2.1.1" ,
"org.apache.spark" % "spark-streaming-kafka_2.10" % "1.6.2",
"org.apache.spark" % "spark-hivecontext-compatibility_2.10" % "2.0.0-preview",
"org.apache.spark" % "spark-sql_2.11" % "2.1.1" ,
"org.apache.spark" % "spark-hive_2.10" % "2.1.1",
"org.apache.hive" % "hive-jdbc" % "1.2.1"
}
can any one suggest why I am not getting any output of show(). Thanks in advance...
