org.apache.spark.sql.AnalysisException when calling saveAsTable - hive

Question

How can I resolve this error?
The code below works in Zeppelin but not when compiled into assembly jar and submitted with spark-submit.
Error is:
org.apache.spark.sql.AnalysisException: Specifying database name or
other qualifiers are not allowed for temporary tables. If the table
name has dots (.) in it, please quote the table name with backticks
(`).;
Code:
import org.apache.spark._
import org.apache.spark.rdd.NewHadoopRDD
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.hive.HiveContext
import java.text.SimpleDateFormat
import java.util.Calendar
case class Benchmark(date: String, time: String, start_end: String,
server: String, timestamp: Long, interface: String,
cid: String, raw: String)
object job {
def main(args: Array[String]) {
val sdf = new java.text.SimpleDateFormat("yyyyMMdd")
val sdf1 = new java.text.SimpleDateFormat("yyyy-MM-dd")
val calendar = Calendar.getInstance()
calendar.set(Calendar.DAY_OF_YEAR,
calendar.get(Calendar.DAY_OF_YEAR) -1)
val date = sdf.format(calendar.getTime())
val dt = sdf1.format(calendar.getTime())
val conf = new SparkConf().setAppName("Interface_HtoH_Job")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
import sqlContext.implicits._
val hiveContext = new HiveContext(sc)
val benchmarkText = sc.textFile(s"hdfs:/rawlogs/prod/log/${date}/*.gz")
val pattern = "([0-9-]{10}) ([0-9:]{8}),[0-9]{1,3} Benchmark..* - (Start|End)<ID=([0-9a-zA-Z_]+)-([0-9]+)><([0-9a-zA-Z.,:!#() =_-]*)><cid=TaskId_([0-9A-Z#_a-z]+),.*><[,0-9:a-zA-Z ]+>".r
benchmarkText.filter { ln => ln.startsWith("2017-") }
.filter { l => l.endsWith(">") }
.filter { k => k.contains("<cid=TaskId") }
.map { line =>
try {
var pattern(date,time,startEnd,server,ts,interface,cid) = line
Benchmark(date,time,startEnd,server,ts.toLong,interface,cid,line)
} catch {
case e: Exception => Benchmark(dt,"00:00:00","bad",e.toString,"0".toLong,"bad","bad",line)
}
}.toDF()
.write
.mode("overwrite")
.saveAsTable("prod_ol_bm.interface_benchmark_tmp") // error here
}
}
Running using spark-submit on:
HDP : 2.5.3.0-37
Spark : 1.6.2.2.5.3.0-37 built for Hadoop 2.7.3.2.5.3.0-37

Answer 1

Change following line
val sqlContext = new SQLContext(sc)
to
val sqlContext = new HiveContext(sc)
Both shell and zeppelin create HiveContext with the name sqlContext, which is a little bit silly.
You need HiveContext to connect to hive.