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Q:
Spark: No JDBC driver found for Scala Spark in hadoop
I tried to connect to hadoop metastore using spark.
Spark 2.1.0
Scala 2.10
hadoop 2.9.1
hadoop-metastore-2.9.1
The code:
object readMetastoreData {
    def main(args: Array[String]): Unit = {
        val properties: Properties = new Properties
        properties.put("fs.defaultFS", "file:///")
        properties.put("fs.hdfs.impl", "org.apache.hadoop.hdfs.DistributedFileSystem")
        properties.put("fs.hadoop.mapreduce.fileinputformat.input.dir", "/mnt/hadoop/data/mapreduce/input")
        properties.put("fs.hadoop.mapreduce.fileinputformat.output.dir", "/mnt/hadoop/data/mapreduce/output")
        properties.put("fs.hadoop.mapreduce.job.output.output.textfile", true)
        properties.put("mapred.job.queue.name", "default")
        // Load the data
        val spark = SparkSession.builder().master("local").appName("readMetastoreData").getOrCreate()
        val df = spark.read.format("org.apache.spark.hive.metastore.HiveMetaStoreFileFormat").load()
        println(df.count())
    }
}
I got the exception:
Caused by: java.lang.ClassNotFoundException: org.apache.spark.hive.metastore.HiveMetaStoreFileFormat
What am I doing wrong?
A:
You have to provide jdbc jar file containing the metastore driver. You can download this jar file from below link.
https
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