Apache Spark - A unified analytics engine for large-scale data processing - apache/spark Hadoop/Kerberos 問題は"困難"になる可能性があります。 各位大神好,最近尝试使用spark on yarn 的模式访问另一个启用了kerberos的hadoop集群上的数据,在程序执行的集群上是有一个用户的票证的,local模式下执行程序是能够访问的,但是指定了--master yarn 之后,不管是client模式还是cluster模式都报下面的错误,在网上苦寻无果,只好前来求助: For Spark, please add the following property to spark-defaults.conf and restart Spark and YARN: spark.yarn.access.hadoopFileSystems = Replace with the actual Alluxio URL starting with alluxio://. In single master mode, this URL can be alluxio://:/. 通过在 spark.yarn.access.hadoopFileSystems 属性中列出它们来完成此操作 ,如下面的配置部分所述。 YARN集成还使用Java服务机制来支持自定义委托令牌提供者(请参阅参考资料 java.util.ServiceLoader )。 ## Kerberos 故障排查 调试 Hadoop/Kerberos 问题可能是 “difficult 困难的”。 如果设置,则此配置将替换, spark.yarn.jars 并且该存档将用于所有应用程序的容器中。 归档文件应该在其根目录中包含jar文件。 和前面的选项一样,存档也可以托管在HDFS上以加速文件分发。 spark.yarn.access.hadoopFileSystems (没有) I will use self signed certs for this example. This happens because Spark looks for the delegation token only for the defaultFS configured and not for all the available namespaces. Spark 配置必须包含以下行: spark.yarn.security.credentials.hive.enabled false spark.yarn.security.credentials.hbase.enabled false 必须取消设置配置选项spark.yarn.access.hadoopFileSystems. Yes @dbompart both the Clusters are in HA Configuration and running HDP 2.6.3. we added the property spark.yarn.access.namenodes in spark submit. 在 YARN上运行Spark需要使用YARN支持构建的Spark的二进制分发。二进制发行版可以从项目网站的 下载页面下载 。要自己构建 Spark,请参阅 Building Spark 。 为了让从 YARN端访问Spark运行时jar,你可以指定 spark.yarn.archive 或 spark.yarn.jars 。有关详细信息,请参阅 Spark属性 。 10.存 在的问题 2.1 read 、 save() Spark 配置 : spark.yarn.access.namenodes or spark.yarn.access.hadoopFileSystems 客户端对 ns-prod 和 ns 进行 配置 , 分别指向主集群和实时集群 ResourceManager 也需要添加两个集群的 ns 信息 A workaround is the usage of the property spark.yarn.access.hadoopFileSystems. In this tutorial I will show you how to use Kerberos/SSL with Spark integrated with Yarn. Spark version was 1.6. The configuration option spark.yarn.access.namenodes must be unset. spark.yarn.security.credentials.hive.enabled false spark.yarn.security.credentials.hbase.enabled false 設定オプション spark.yarn.access.hadoopFileSystems は未設定でなければなりません。 Kerberosのトラブルシューティング. Before you begin ensure you have installed Kerberos Server and Hadoop . But even after that we are still confused why the FileSystem object has SIMPLE Authentication not KERBEROS Athenticaion? Now we are able to list the contents as well as Write files also across 2 clusters Thank you. Spark fails to write on different namespaces when Hadoop federation is turned on and the cluster is secure. Master mode, this URL can be alluxio: // < HOSTNAME >: < PORT /! Now we are still confused why the FileSystem object has SIMPLE Authentication not Kerberos?! You how to use Kerberos/SSL with Spark integrated with Yarn namespaces when Hadoop federation turned... 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