Spark Shell啓動時遇到:14: error: not found: value spark import spark.implicits._ :14: e

 

 

　　很少說，直接上乾貨！

 

　　最近，開始，進一步學習spark的最新版本。由原來常用的spark-1.6.1，如今來使用spark-2.2.0-bin-hadoop2.6.tgz。

 

 

前期博客

Spark on YARN模式的安裝（spark-1.6.1-bin-hadoop2.6.tgz + hadoop-2.6.0.tar.gz）（master、slave1和slave2）（博主推薦）

 

　　這裏我，使用的是spark-2.2.0-bin-hadoop2.6.tgz + hadoop-2.6.0.tar.gz 的單節點來測試下。

　　其中，hadoop-2.6.0的單節點配置文件，我就不贅述了。　　

　　這裏，我重點寫下spark on yarn。我這裏採起的是這模式。

 

 

spark-defaults.conf

　　默認，保持不修改。

 

 

spark-env.sh

export JAVA_HOME=/home/spark/app/jdk1.8.0_60
export SCALA_HOME=/home/spark/app/scala-2.10.4
export HADOOP_HOME=/home/spark/app/hadoop-2.6.0
export HADOOP_CONF_DIR=/home/spark/app/hadoop-2.6.0/etc/hadoop
export SPARK_MASTER_IP=192.168.80.218
export SPARK_WORKER_MERMORY=1G

 

 

 

 slaves

sparksinglenode

 

 

 

 

 

 

 

　　問題詳情

　　我已是啓動了hadoop進程。

 　　而後，來執行

[spark@sparksinglenode spark-2.2.0-bin-hadoop2.6]$ bin/spark-shell

 

 

 

  at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:362)
  at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:266)
  at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:66)
  at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:65)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply$mcZ$sp(HiveExternalCatalog.scala:194)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:194)
  at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:194)
  at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
  ... 70 more
Caused by: org.apache.hadoop.ipc.RemoteException: Cannot create directory /tmp/hive/spark/1b6e6e4f-7e08-4d49-8783-4e722bab607a. Name node is in safe mode.
The reported blocks 0 needs additional 5 blocks to reach the threshold 0.9990 of total blocks 5.
The number of live datanodes 1 has reached the minimum number 0. Safe mode will be turned off automatically once the thresholds have been reached.
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkNameNodeSafeMode(FSNamesystem.java:1364)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4216)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4191)
    at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:813)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:600)
    at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:619)
    at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:962)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2039)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2035)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
    at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2033)

 

 

 

 

  at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:2713)
  at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:870)
  at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:866)
  at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
  at org.apache.hadoop.hdfs.DistributedFileSystem.mkdirsInternal(DistributedFileSystem.java:866)
  at org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:859)
  at org.apache.hadoop.hive.ql.session.SessionState.createPath(SessionState.java:639)
  at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:574)
  at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508)
  ... 84 more
<console>:14: error: not found: value spark import spark.implicits._ ^ <console>:14: error: not found: value spark import spark.sql ^
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.2.0
      /_/
         
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_60)
Type in expressions to have them evaluated.
Type :help for more information.

scala> 

 

 

 

 

 

 

解決辦法

[spark@sparksinglenode ~]$ jps
5733 SecondaryNameNode
6583 Jps
5464 NameNode
5933 ResourceManager
6031 NodeManager
5583 DataNode
[spark@sparksinglenode ~]$ hdfs dfsadmin -safemode leave 17/08/29 05:29:50 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Safe mode is OFF
[spark@sparksinglenode ~]$ 

 

 

　　

 

 

 

　　再次執行，成功了

[spark@sparksinglenode spark-2.2.0-bin-hadoop2.6]$ bin/spark-shell
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
17/08/29 05:30:57 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/08/29 05:31:06 WARN DataNucleus.General: Plugin (Bundle) "org.datanucleus.api.jdo" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/home/spark/app/spark-2.2.0-bin-hadoop2.6/jars/datanucleus-api-jdo-3.2.6.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/home/spark/app/spark/jars/datanucleus-api-jdo-3.2.6.jar."
17/08/29 05:31:07 WARN DataNucleus.General: Plugin (Bundle) "org.datanucleus.store.rdbms" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/home/spark/app/spark/jars/datanucleus-rdbms-3.2.9.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/home/spark/app/spark-2.2.0-bin-hadoop2.6/jars/datanucleus-rdbms-3.2.9.jar."
17/08/29 05:31:07 WARN DataNucleus.General: Plugin (Bundle) "org.datanucleus" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/home/spark/app/spark-2.2.0-bin-hadoop2.6/jars/datanucleus-core-3.2.10.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/home/spark/app/spark/jars/datanucleus-core-3.2.10.jar."
17/08/29 05:31:28 WARN metastore.ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
Spark context Web UI available at http://192.168.80.218:4040
Spark context available as 'sc' (master = local[*], app id = local-1503955860647).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.2.0
      /_/
         
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_60)
Type in expressions to have them evaluated.
Type :help for more information.

scala> 

 

 

 

　　或者

[spark@sparksinglenode spark-2.2.0-bin-hadoop2.6]$ bin/spark-shell --master yarn-client

　　注意，這裏的--master是固定參數