Question

我的EMR位于us-west-1但我的S3存储桶位于us-east-1，我的误差低于此值。

我尝试了s3://{bucketname}.s3.amazon.com，但这会创建一个包含s3.amazon.com的新存储桶。

如何访问s3桶交叉区域？

com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.model.AmazonS3Exception: Moved Permanently (Service: Amazon S3; Status Code: 301; Error Code: 301 Moved Permanently; Request ID: FB1139D9BD8F409B), S3 Extended Request ID: pWK3X9BBRp8BLlXEHOx008RCdlZC64YFTounDYGtnwsAneR0IDP1Z/gmDudRoqWhDArfYLNRxk4=
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:1389)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:902)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:607)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.doExecute(AmazonHttpClient.java:376)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.executeWithTimer(AmazonHttpClient.java:338)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:287)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3826)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata(AmazonS3Client.java:1015)
    at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata(AmazonS3Client.java:991)
    at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:212)
    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 org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
    at com.sun.proxy.$Proxy38.retrieveMetadata(Unknown Source)
    at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.getFileStatus(S3NativeFileSystem.java:780)
    at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1428)
    at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.exists(EmrFileSystem.java:313)
    at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:85)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
    at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
    at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
    at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
    at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:487)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:194)
    at org.apache.spark.sql.DataFrameWriter.text(DataFrameWriter.scala:520)

Answer 1

此解决方案适用于emr-5.0.0 / emr-5.0.3：

将以下属性添加到core-site configuration

"fs.s3n.endpoint":"s3.amazonaws.com"

Answer 2

与AWS支持团队联系并且TLDR是他们意识到这个问题并且他们正在研究它并且希望为下一次EMR发布解决这个问题，但我没有eta。

对于“s3a”，您可以在运行时使用自定义s3 end points within spark，但这不适用于“s3”或“s3n”。

此外，您可以将EMR配置为在创建时指向另一个s3区域，但是一旦您以这种方式配置，您就会陷入该区域。

根据支持团队的说法，此EMRFS的区域绑定从EMR 4.7.2开始应用。

Answer 3

正如@codingtwinky在评论中所建议的那样，EMR 4.6.0在emr.hadoop.fs层中没有这个问题。我的hadoop作业现在可以在EMR 4.6.0中使用，但在5.0.0或4.7.0中不起作用。

从AWS EMR Spark访问跨区域S3

3 个答案: