1

我试图通过Mongo-Spark连接器在远程机器上使用MongoDB实例运行Spark提交作业。无法在认证模式下使用Mongo与Mongo-Spark连接器连接

当我发起的mongod服务没有--auth标志,像这样运行​​命令:

./bin/spark-submit --master spark://10.0.3.155:7077 \ 
        --conf "spark.mongodb.input.uri=mongodb://10.0.3.156/test.coll?readPreference=primaryPreferred" \ 
        --conf "spark.mongodb.output.uri=mongodb://10.0.3.156/test.coll" \ 
        --packages org.mongodb.spark:mongo-spark-connector_2.11:2.0.0 \ 
        app1.py 

一切工作就像一个魅力。

但是,当我与运行的mongod服务--auth标志,并运行​​这样的:

./bin/spark-submit --master spark://10.0.3.155:7077 \ 
        --conf "spark.mongodb.input.uri=mongodb://admin:[email protected]/test.coll?readPreference=primaryPreferred" \ 
        --conf "spark.mongodb.output.uri=mongodb://admin:[email protected]/test.coll" \ 
        --packages org.mongodb.spark:mongo-spark-connector_2.11:2.0.0 \ 
        app1.py 

我得到这些错误:

py4j.protocol.Py4JJavaError: An error occurred while calling o47.save. : com.mongodb.MongoTimeoutException: Timed out after 30000 ms while waiting for a server that matches WritableServerSelector. Client view of cluster state is {type=UNKNOWN, servers=[{address=10.0.3.156:27017, type=UNKNOWN, state=CONNECTING, exception={com.mongodb.MongoSecurityException: Exception authenticating MongoCredential{mechanism=null, userName='admin', source='test', password=<hidden>, mechanismProperties={}}}, caused by {com.mongodb.MongoCommandException: Command failed with error 18: 'Authentication failed.' on server 10.0.3.156:27017. The full response is { "ok" : 0.0, "code" : 18, "errmsg" : "Authentication failed." }}}] 
at com.mongodb.connection.BaseCluster.createTimeoutException(BaseCluster.java:369) 
at com.mongodb.connection.BaseCluster.selectServer(BaseCluster.java:101) 
at com.mongodb.binding.ClusterBinding$ClusterBindingConnectionSource.<init>(ClusterBinding.java:75) 
at com.mongodb.binding.ClusterBinding$ClusterBindingConnectionSource.<init>(ClusterBinding.java:71) 
at com.mongodb.binding.ClusterBinding.getWriteConnectionSource(ClusterBinding.java:68) 
at com.mongodb.operation.CommandOperationHelper.executeWrappedCommandProtocol(CommandOperationHelper.java:158) 
at com.mongodb.operation.CommandOperationHelper.executeWrappedCommandProtocol(CommandOperationHelper.java:133) 
at com.mongodb.operation.CommandOperationHelper.executeWrappedCommandProtocol(CommandOperationHelper.java:128) 
at com.mongodb.operation.CommandOperationHelper.executeWrappedCommandProtocol(CommandOperationHelper.java:118) 
at com.mongodb.operation.DropCollectionOperation.execute(DropCollectionOperation.java:54) 
at com.mongodb.operation.DropCollectionOperation.execute(DropCollectionOperation.java:39) 
at com.mongodb.Mongo.execute(Mongo.java:781) 
at com.mongodb.Mongo$2.execute(Mongo.java:764) 
at com.mongodb.MongoCollectionImpl.drop(MongoCollectionImpl.java:419) 
at com.mongodb.spark.sql.DefaultSource$$anonfun$createRelation$1.apply(DefaultSource.scala:89) 
at com.mongodb.spark.sql.DefaultSource$$anonfun$createRelation$1.apply(DefaultSource.scala:89) 
at com.mongodb.spark.MongoConnector$$anonfun$withCollectionDo$1.apply(MongoConnector.scala:186) 
at com.mongodb.spark.MongoConnector$$anonfun$withCollectionDo$1.apply(MongoConnector.scala:184) 
at com.mongodb.spark.MongoConnector$$anonfun$withDatabaseDo$1.apply(MongoConnector.scala:171) 
at com.mongodb.spark.MongoConnector$$anonfun$withDatabaseDo$1.apply(MongoConnector.scala:171) 
at com.mongodb.spark.MongoConnector.withMongoClientDo(MongoConnector.scala:154) 
at com.mongodb.spark.MongoConnector.withDatabaseDo(MongoConnector.scala:171) 
at com.mongodb.spark.MongoConnector.withCollectionDo(MongoConnector.scala:184) 
at com.mongodb.spark.sql.DefaultSource.createRelation(DefaultSource.scala:89) 
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:518) 
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:215) 
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) 
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) 
at py4j.Gateway.invoke(Gateway.java:280) 
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) 
at py4j.commands.CallCommand.execute(CallCommand.java:79) 
at py4j.GatewayConnection.run(GatewayConnection.java:214) 
at java.lang.Thread.run(Thread.java:748) 

我检查的凭据和角色,一切都很好。不知道我在做什么错...

回答

1

您需要配置authSource查询参数在连接字符串,否则提供的数据库(测试)将用于:

spark.mongodb.input.uri=mongodb://10.0.3.156/test.coll?authSource=admin&readPreference=primaryPreferred 
+0

准确。谢谢 –

0

因此,这毕竟是一个凭证问题。 问题是我试图连接到test DB,而我输入的凭据是admin DB。

就是这样。