flink着色的hadoop s3文件系统仍然需要hdfs default和hdfs site config路径

0mkxixxg  于 2021-06-21  发布在  Flink
关注(0)|答案(1)|浏览(439)

我正试图用flink1.6.0将s3配置为我的状态后端。

flink-conf.yaml
state.backend: filesystem
state.checkpoints.dir: s3://***/flink-checkpoints
state.savepoints.dir: s3://***/flink-savepoints

s3.access-key:*******
s3.secret-key:*******

https://ci.apache.org/projects/flink/flink-docs-stable/ops/deployment/aws.html#shaded-hadooppresto-s3-file-systems-推荐
我已经将flink-s3-fs-hadoop-1.6.0.jar移到lib目录。这些文档没有为这个特定方法指定任何hadoop配置文件的需要。但是我正面临这个错误,抱怨缺少hadoop配置路径。

2018-08-24 23:25:17,829 INFO org.apache.flink.streaming.runtime.tasks.StreamTask           - State backend is set to heap memory (checkpoints to filesystem "s3://***/flink-checkpoints")
2018-08-24 23:25:17,831 DEBUG org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.fs.hdfs.AbstractFileSystemFactory  - Creating Hadoop file system (backed by Hadoop s3a file system)
2018-08-24 23:25:17,831 DEBUG org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.fs.hdfs.AbstractFileSystemFactory  - Loading Hadoop configuration for Hadoop s3a file system
2018-08-24 23:25:17,872 DEBUG org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.util.HadoopUtils  - Cannot find hdfs-default configuration-file path in Flink config.
2018-08-24 23:25:17,873 DEBUG org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.util.HadoopUtils  - Cannot find hdfs-site configuration-file path in Flink config.
2018-08-24 23:25:17,873 DEBUG org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.util.HadoopUtils  - Could not find Hadoop configuration via any of the supported methods (Flink configuration, environment variables).
2018-08-24 23:25:17,878 INFO  org.apache.flink.runtime.taskmanager.Task                     - Source: Custom Source -> Map -> Sink: Print to Std. Out (1/1) (ee0eeb00ea0f01043d90f6b8d3c0cc2e) switched from RUNNING to FAILED.
javax.xml.parsers.FactoryConfigurationError: Provider for class javax.xml.parsers.DocumentBuilderFactory cannot be created
        at javax.xml.parsers.FactoryFinder.findServiceProvider(FactoryFinder.java:311)
        at javax.xml.parsers.FactoryFinder.find(FactoryFinder.java:267)
        at javax.xml.parsers.DocumentBuilderFactory.newInstance(DocumentBuilderFactory.java:120)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:2565)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.hadoop.conf.Configuration.loadResources(Configuration.java:2541)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.hadoop.conf.Configuration.getProps(Configuration.java:2424)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.hadoop.conf.Configuration.set(Configuration.java:1149)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.hadoop.conf.Configuration.set(Configuration.java:1121)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.fs.hdfs.HadoopConfigLoader.loadHadoopConfigFromFlink(HadoopConfigLoader.java:101)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.fs.hdfs.HadoopConfigLoader.getOrLoadHadoopConfig(HadoopConfigLoader.java:80)
        at org.apache.flink.fs.s3hadoop.shaded.org.apache.flink.runtime.fs.hdfs.AbstractFileSystemFactory.create(AbstractFileSystemFactory.java:55)
        at org.apache.flink.core.fs.FileSystem.getUnguardedFileSystem(FileSystem.java:395)
        at org.apache.flink.core.fs.FileSystem.get(FileSystem.java:318)
        at org.apache.flink.core.fs.Path.getFileSystem(Path.java:298)
        at org.apache.flink.runtime.state.filesystem.FsCheckpointStorage.<init>(FsCheckpointStorage.java:61)
        at org.apache.flink.runtime.state.filesystem.FsStateBackend.createCheckpointStorage(FsStateBackend.java:443)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:257)
        at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
        at java.lang.Thread.run(Thread.java:748)

我是不是漏了什么?感谢您的帮助。

9avjhtql

9avjhtql1#

搞砸了我的依赖关系,这就是导致这个无关异常的原因。正在尝试bucketing和rollingsink连接器,这需要hadoop依赖性。将它们添加到maven提供的范围中,无法从intellij idea运行它们。所以把它们转换成编译,保持原样。他们打包了一部分人工制品罐,导致了这个问题。
经验教训:不要在默认(编译)范围中添加hadoop依赖项。intellij在运行配置中有一个选项,用于在提供的范围中声明包含的依赖项。

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