spark连接到本地配置单元而不是远程配置单元

axr492tv  于 2021-06-01  发布在  Hadoop
关注(0)|答案(1)|浏览(619)

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")

我使用的是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,我没有发现任何错误,但我看到创建了一个本地配置单元存储库:

[           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/....

我正在尝试连接到一个远程cloudera群集。我将xml文件(hive site、hdfs site、core stire、yarn site)复制到我的项目中的conf目录中,$spark\u conf dir。我将spark\u home路径添加到path变量,并将haddop\u home变量指定为指向winutils位置。
我还能做什么?
日志很长,我看到了一些信息,可能对您有任何暗示:

-----------------------------------------------------------------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

老实说,这不是我第一次处理这种错误。上次我用游戏框架。在这种情况下需要采取哪些具体步骤?哪些变量应该真正配置,哪些变量不重要?

bnlyeluc

bnlyeluc1#

有了spark 2你可以试试这个,

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

注意 hive.metastore.uris 属性,将localhost更改为指向您的沙盒或集群。
1 ss 初始化后,您可以读取如下表,

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

希望这有帮助。干杯。

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