For checkout purpose I try to set up an Amazon S3 bucket as checkpoint file.
val checkpointDir = "s3a://bucket-name/checkpoint.txt"
val sc = new SparkContext(conf)
sc.setLocalProperty("spark.default.parallelism", "30")
sc.hadoopConfiguration.set("fs.s3a.access.key", "xxxxx")
sc.hadoopConfiguration.set("fs.s3a.secret.key", "xxxxx")
sc.hadoopConfiguration.set("fs.s3a.endpoint", "bucket-name.s3-website.eu-central-1.amazonaws.com")
val ssc = new StreamingContext(sc, Seconds(10))
ssc.checkpoint(checkpointDir)but it stops with this exception
Exception in thread "main" com.amazonaws.services.s3.model.AmazonS3Exception: Status Code: 400, AWS Service: Amazon S3, AWS Request ID: 9D8E8002H3BBDDC7, AWS Error Code: null, AWS Error Message: Bad Request, S3 Extended Request ID: Qme5E3KAr/KX0djiq9poGXPJkmr0vuXAduZujwGlvaAl+oc6vlUpq7LIh70IF3LNgoewjP+HnXA=
at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:798)
at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:421)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:232)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3528)
at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1031)
at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:994)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:154)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
at org.apache.spark.streaming.StreamingContext.checkpoint(StreamingContext.scala:232)
at com.misterbell.shiva.StreamingApp$.main(StreamingApp.scala:89)
at com.misterbell.shiva.StreamingApp.main(StreamingApp.scala)
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:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:664)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:169)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:192)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)I don't understand why I got this error and I can't find any example.
3条答案
按热度按时间zynd9foi1#
此消息对应于“错误端点”或错误签名版本支持等内容。
就像这里看到的法兰克福是唯一一个不支持签名版本2的。它是我选择的。
当然，毕竟我的研究不能说什么是签名版本，它不明显的文档。但V2似乎与s3a工作。
在S3接口中看到的端点不是真实的的端点，它只是Web端点。
您必须使用其中一个端点，如
sc.hadoopConfiguration.set("fs.s3a.endpoint", "s3.eu-west-1.amazonaws.com")但默认情况下，它与US端点一起工作
mec1mxoz2#
如果你想在spark中使用支持Signature V4的区域，你可以在运行时将标志
-Dcom.amazonaws.services.s3.enableV4传递给驱动程序选项和执行器选项。例如：有了这个设置，Spark就可以写法兰克福（和其他只有V4的地区），即使是不那么新鲜的AWS sdk版本（在我的情况下是
com.amazonaws:aws-java-sdk:1.7.4）u2nhd7ah3#
我在本地运行Spark时也遇到了同样的问题，原因是SIGV4没有设置，这段代码帮助了我：