当代码在Spark shell中工作时，spark-submit不能引用“--jars”指定的jar？

Question

我使用IntelliJ创建了一个sbt项目。我将所需的jdbc jarsqljdbc42.jar复制到项目的lib文件夹中。SBT包成功完成。在Windows上，我通过spark-shell--driver-class-path c:\sqljdbc_6.0\enu\jre8\sqljdbc42.jar启动了spark。

import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import java.sql._

object ConnTest extends App {
  val conf = new SparkConf()
  val sc = new SparkContext(conf.setAppName("Test").setMaster("local[*]"))

  // The following four statements work if running interactively in the Spark shell
  val sqlContext = new org.apache.spark.sql.SQLContext(sc)
  val jdbcSqlConn = "jdbc:sqlserver://...;databaseName=...;user=...;password=...;"
  val jdbcDf = sqlContext.read.format("jdbc").options(Map(
        "url" -> jdbcSqlConn,
        "dbtable" -> "testTable"
      )).load()
  jdbcDf.show(10)

  sc.stop()
}

但是，以下spark-submit命令得到了错误。

spark-submit.cmd --class ConnTest --master local[4] .\target\scala-2.11\test_2.11-1.0.jar
spark-submit.cmd --class ConnTest --master local[4] .\target\scala-2.11\test_2.11-1.0.jar --jars \sqljdbc_6.0\enu\jre8\sqljdbc42.jar

Exception in thread "main" java.sql.SQLException: No suitable driver
        at java.sql.DriverManager.getDriver(Unknown Source)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$7.apply(JDBCOptions.scala:84)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$7.apply(JDBCOptions.scala:84)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.(JDBCOptions.scala:83)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.(JDBCOptions.scala:34)
        at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
        at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:330)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:125)
        at ConnTest$.delayedEndpoint$ConnTest$1(main.scala:14)
        at ConnTest$delayedInit$body.apply(main.scala:6)
        at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
        at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
        at scala.App$$anonfun$main$1.apply(App.scala:76)
        at scala.App$$anonfun$main$1.apply(App.scala:76)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
        at scala.App$class.main(App.scala:76)
        at ConnTest$.main(main.scala:6)
        at ConnTest.main(main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
        at java.lang.reflect.Method.invoke(Unknown Source)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

Answer 1

设置另一个选项解决了这个问题。

"driver" -> "com.microsoft.sqlserver.jdbc.SQLServerDriver",