spark shell 启动 出现org.apache.spark.SparkException: Found both spark.executor.extraClassPath and SPARK

启动spark shell报错：

Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
19/02/26 16:56:07 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
19/02/26 16:56:07 WARN spark.SparkConf: 
SPARK_CLASSPATH was detected (set to ':/usr/local/hive/lib/mysql-connector-java-5.1.40-bin.jar').
This is deprecated in Spark 1.0+.

Please instead use:
 - ./spark-submit with --driver-class-path to augment the driver classpath
 - spark.executor.extraClassPath to augment the executor classpath
        
19/02/26 16:56:07 ERROR spark.SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Found both spark.executor.extraClassPath and SPARK_CLASSPATH. Use only the former.
    at org.apache.spark.SparkConf$$anonfun$validateSettings$7$$anonfun$apply$8.apply(SparkConf.scala:560)
    at org.apache.spark.SparkConf$$anonfun$validateSettings$7$$anonfun$apply$8.apply(SparkConf.scala:558)
    at scala.collection.immutable.List.foreach(List.scala:381)
    at org.apache.spark.SparkConf$$anonfun$validateSettings$7.apply(SparkConf.scala:558)
    at org.apache.spark.SparkConf$$anonfun$validateSettings$7.apply(SparkConf.scala:546)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:546)
    at org.apache.spark.SparkContext.(SparkContext.scala:376)
    at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2313)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:868)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:860)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:860)
    at org.apache.spark.repl.Main$.createSparkSession(Main.scala:101)
    at $line3.$read$$iw$$iw.(:15)
    at $line3.$read$$iw.(:42)
    at $line3.$read.(:44)
    at $line3.$read$.(:48)
    at $line3.$read$.()
    at $line3.$eval$.$print$lzycompute(:7)
    at $line3.$eval$.$print(:6)
    at $line3.$eval.$print()
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
    at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
    at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
    at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
    at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
    at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
    at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
    at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
    at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
    at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
    at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)
    at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:105)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
    at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
    at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
    at org.apache.spark.repl.Main$.doMain(Main.scala:68)
    at org.apache.spark.repl.Main$.main(Main.scala:51)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:738)
    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)
19/02/26 16:56:07 WARN util.Utils: Your hostname, maxinehehe resolves to a loopback address: 127.0.1.1; using 219.216.65.77 instead (on interface enp3s0)
19/02/26 16:56:07 WARN util.Utils: Set SPARK_LOCAL_IP if you need to bind to another address
org.apache.spark.SparkException: Found both spark.executor.extraClassPath and SPARK_CLASSPATH. Use only the former.
  at org.apache.spark.SparkConf$$anonfun$validateSettings$7$$anonfun$apply$8.apply(SparkConf.scala:560)
  at org.apache.spark.SparkConf$$anonfun$validateSettings$7$$anonfun$apply$8.apply(SparkConf.scala:558)
  at scala.collection.immutable.List.foreach(List.scala:381)
  at org.apache.spark.SparkConf$$anonfun$validateSettings$7.apply(SparkConf.scala:558)
  at org.apache.spark.SparkConf$$anonfun$validateSettings$7.apply(SparkConf.scala:546)
  at scala.Option.foreach(Option.scala:257)
  at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:546)
  at org.apache.spark.SparkContext.(SparkContext.scala:376)
  at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2313)
  at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:868)
  at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:860)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:860)
  at org.apache.spark.repl.Main$.createSparkSession(Main.scala:101)
  ... 47 elided
:14: error: not found: value spark
       import spark.implicits._
              ^
:14: error: not found: value spark
       import spark.sql
              ^
...

        这里一般是更改spark-env.sh文件 检查其中IP地址是否与本机地址相同。我当时确实这里发生了错误，进行改正之后，spark-shell仍然由上面的错。

         然后，重启hadoop,spark。。。关机重启，也没解决。

         没办法，硬着头皮，仔细看看错误发现：

org.apache.spark.SparkException: Found both spark.executor.extraClassPath and SPARK_CLASSPATH. Use only the former.

         隐隐感觉到了错误的位置。。。果不其然，我在spark-default-env.sh文件下`有下面两行语句：

# spark.executor.extraClassPath     /usr/local/spark/jars/mysql-connector-java-5.1.40/mysql-connector-java-5.1.40-bin.jar
# spark.driver.extraClassPath       /usr/local/spark/jars/mysql-connector-java-5.1.40/mysql-connector-java-5.1.40-bin.jar

        而在spark-env.sh中已经定义了SPARK_CLASSPATH 不过和上面定义的不同。

解决办法：

        注释掉spark-default-env.sh的上面两行（或者直接删除）：

# spark.executor.extraClassPath     /usr/local/spark/jars/mysql-connector-java-5.1.40/mysql-connector-java-5.1.40-bin.jar
# spark.driver.extraClassPath       /usr/local/spark/jars/mysql-connector-java-5.1.40/mysql-connector-java-5.1.40-bin.jar

 

总结：有些错误一开始就去网上找，不停地找到不一定能找到错误，不妨静下心来认真读读错误语句，说不定就能找到症结所在。