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spark连接到本地配置单元而不是远程

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我正在使用spring框架创建一个api来查询hadoop中的一些表 . 我使用的命令:

println("-----------------------------------------------------------------before )
val spark = SparkSession
  .builder()
  .appName("API")
  .master("local[*])
  .enableHiveSupport()
  .getOrCreate()
  println("--------------------------------------------------------------------Session was created")
  • 我正在使用spark 2.11.6和scala v2.2.0 . 当我使用spark-shell时,我连接到远程集群 .

在日志中我没有得到任何错误,但我看到创建了一个本地的hive存储库:

[           main] o.a.h.hive.metastore.MetaStoreDirectSql  : Using direct SQL, underlying DB is DERBY
    main] o.a.hadoop.hive.ql.session.SessionState  : Created local directory: C:/Users/..../.../Local/Temp/..._resources
    2018-05-10 16:32:32.556  INFO 16148 --- [           main] o.a.hadoop.hive.ql.session.SessionState  : Created HDFS directory: /tmp/hive/myuser/....

我正在尝试连接到远程cloudera集群 . 我将xml文件(hive-site,hdfs-site,core-stire,yarn-site)复制到我项目的conf目录,转到$ SPARK_CONF目录 . 我将SPARK_HOME路径添加到PATH变量,并将HADDOP_HOME变量指定为指向winutils位置 .

我还可以做些什么 ?

日志很长,我看到的一些消息可能对你有任何暗示:

-----------------------------------------------------------------ENV=local[*]
   2018-05-10 16:32:16.930  WARN 16148 --- [           main] org.apache.hadoop.util.NativeCodeLoader  : Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 [           main] org.apache.spark.util.Utils              : Successfully started service 'SparkUI' on port 4040.
 main] o.s.jetty.server.handler.ContextHandler  : Started o.s.j.s.ServletContextHandler@13ee97af{/stages/pool/json,null,AVAILABLE,@Spark}
[           main] org.apache.spark.ui.SparkUI              : Bound SparkUI to 0.0.0.0, and started at http://192.168.56.1:4040
[           main] o.apache.spark.sql.internal.SharedState  : URL.setURLStreamHandlerFactory failed to set FsUrlStreamHandlerFactory
[           main] DataNucleus.Persistence                  : Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
[           main] DataNucleus.Datastore                    : The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
[           main] DataNucleus.Query                        : Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
[           main] o.a.h.hive.metastore.MetaStoreDirectSql  : Using direct SQL, underlying DB is DERBY
[           main] o.a.hadoop.hive.metastore.ObjectStore    : Failed to 
      get database global_temp, returning NoSuchObjectException
[           main] o.a.hadoop.hive.ql.session.SessionState  : Created local directory: C:/Users/myuser/AppData/Local/Temp/1fa7a82b-fe17-4795-8973-212010634cd1_resources
[           main] o.a.hadoop.hive.ql.session.SessionState  : Created HDFS directory: /tmp/hive/myuser/1fa7a82b-fe17-4795-8973-212010634cd1
[           main] o.a.hadoop.hive.ql.session.SessionState  : Created local directory: C:/Users/myuser/AppData/Local/Temp/myuser/fileasdasdsa
 [           main] o.a.hadoop.hive.ql.session.SessionState  : Created HDFS directory: /tmp/hive/myuser/asdsadsa/_tmp_space.db
[           main] o.a.s.sql.hive.client.HiveClientImpl     : Warehouse location for Hive client (version 1.2.1) is file:/C:/Users/myuser/SpringScalaAPI/spark-warehouse
 [           main] o.a.s.s.e.s.s.StateStoreCoordinatorRef   : Registered StateStoreCoordinator endpoint
--------------------------------------------------------------------Session was created

说实话,这不是我第一次处理这种类型的错误 . 上次我使用play框架 . 任何人都可以指定在这种情况下需要做的具体步骤是什么?应该真正配置哪些变量以及哪些变量不重要?

1 回答

  • 1

    使用Spark 2,您可以尝试这样的事情,

    val ss = SparkSession
    .builder()
    .appName(" Hive example")
    .config("hive.metastore.uris", "thrift://localhost:9083")
    .enableHiveSupport()
    .getOrCreate()
    

    请注意 hive.metastore.uris 属性,将localhost更改为指向您的沙箱或群集 .

    一个 ss 被初始化,你可以读取如下表格,

    val df = ss.read.table("db_name.table_name")
    

    希望这可以帮助 . 干杯 .

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