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From Jingsong Li <jingsongl...@gmail.com>
Subject Re: flink如何正则读取hdfs下的文件
Date Thu, 21 May 2020 11:42:34 GMT
1.11还没发布,文档还在编写中

Best,
Jingsong Lee

On Thu, May 21, 2020 at 7:33 PM jimandlice <jimandlice@163.com> wrote:

> 1.11的话 能提供一个demo么
>
>
>
>
> | |
> jimandlice
> |
> |
> 邮箱:jimandlice@163.com
> |
>
> Signature is customized by Netease Mail Master
>
> 在2020年05月21日 19:31,Jingsong Li 写道:
> > 写入之后 还需要用脚本倒数据入hive么
> - 用Datastream来写,需要
> - 1.11的Table层来写,配置下就自动add partition到hive metastore了
>
> Best,
> Jingsong Lee
>
> On Thu, May 21, 2020 at 7:11 PM jimandlice <jimandlice@163.com> wrote:
>
> > 写入之后 还需要用脚本倒数据入hive么
> >
> >
> >
> >
> > | |
> > jimandlice
> > |
> > |
> > 邮箱:jimandlice@163.com
> > |
> >
> > Signature is customized by Netease Mail Master
> >
> > 在2020年05月21日 15:02,Jingsong Li 写道:
> > 看起来是因为你客户端和Server端的依赖不一致导致的问题,你检查下客户端的jars?
> >
> > Best,
> > Jingsong Lee
> >
> > On Thu, May 21, 2020 at 2:57 PM 阿华田 <a15733178518@163.com> wrote:
> >
> > > public static void main(String[] args) throws Exception {
> > > //初始化任务参数
> > > ExecutionEnvironment env =
> > ExecutionEnvironment.getExecutionEnvironment();
> > > Job job = Job.getInstance();
> > > //自定义input读取hdfs
> > > HadoopInputFormat<LongWritable, Text> hadoopIF = new
> > > HadoopInputFormat<LongWritable, Text>(
> > > new TextInputFormat(), LongWritable.class, Text.class, job);
> > > //过滤需要读取的子目录
> > > ArrayList<Path> inputhPaths =
> > >
> >
> HadoopUtil.getHdfsFileName("hdfs://arc_c/fid_flow/*","2020-05-10","2020-05-20");
> > > TextInputFormat.setInputPaths(job, (Path[]) inputhPaths.toArray(new
> > > Path[inputhPaths.size()]));
> > > //自定义input的方式读取hdfs
> > > DataSet<Tuple2<LongWritable, Text>> source = env.createInput(hadoopIF);
> > > source.output(new HdfsTrainSinktest());
> > > env.execute("offline_train");
> > > }
> > > 通过这种方式本地可以读取,提交到yarn上会报如下错误
> > >
> > >
> > > Caused by: org.apache.flink.runtime.client.JobExecutionException:
> Cannot
> > > initialize task 'DataSource (at
> > createInput(ExecutionEnvironment.java:552)
> > > (org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormat))':
> Loading
> > > the input/output formats failed:
> > > org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormat@458544e0
> > >         at
> > >
> >
> org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder.buildGraph(ExecutionGraphBuilder.java:218)
> > >         at
> > >
> >
> org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder.buildGraph(ExecutionGraphBuilder.java:106)
> > >         at
> > >
> >
> org.apache.flink.runtime.scheduler.LegacyScheduler.createExecutionGraph(LegacyScheduler.java:207)
> > >         at
> > >
> >
> org.apache.flink.runtime.scheduler.LegacyScheduler.createAndRestoreExecutionGraph(LegacyScheduler.java:184)
> > >         at
> > >
> >
> org.apache.flink.runtime.scheduler.LegacyScheduler.<init>(LegacyScheduler.java:176)
> > >         at
> > >
> >
> org.apache.flink.runtime.scheduler.LegacySchedulerFactory.createInstance(LegacySchedulerFactory.java:70)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:275)
> > >         at
> > > org.apache.flink.runtime.jobmaster.JobMaster.<init>(JobMaster.java:265)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.createJobMasterService(DefaultJobMasterServiceFactory.java:98)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.createJobMasterService(DefaultJobMasterServiceFactory.java:40)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobmaster.JobManagerRunner.<init>(JobManagerRunner.java:146)
> > >         ... 10 more
> > > Caused by: java.lang.Exception: Loading the input/output formats
> failed:
> > > org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormat@458544e0
> > >         at
> > >
> >
> org.apache.flink.runtime.jobgraph.InputOutputFormatVertex.initInputOutputformatContainer(InputOutputFormatVertex.java:156)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobgraph.InputOutputFormatVertex.initializeOnMaster(InputOutputFormatVertex.java:60)
> > >         at
> > >
> >
> org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder.buildGraph(ExecutionGraphBuilder.java:214)
> > >         ... 20 more
> > > Caused by: java.lang.RuntimeException: Deserializing the input/output
> > > formats failed: unread block data
> > >         at
> > >
> >
> org.apache.flink.runtime.jobgraph.InputOutputFormatContainer.<init>(InputOutputFormatContainer.java:68)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobgraph.InputOutputFormatVertex.initInputOutputformatContainer(InputOutputFormatVertex.java:153)
> > >         ... 22 more
> > > Caused by: java.lang.IllegalStateException: unread block data
> > >         at
> > >
> >
> java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2783)
> > >         at
> > > java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1605)
> > >         at
> > >
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2287)
> > >         at
> > > java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2211)
> > >         at
> > >
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2069)
> > >         at
> > > java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1573)
> > >         at
> > java.io.ObjectInputStream.readObject(ObjectInputStream.java:431)
> > >         at
> > >
> >
> org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:576)
> > >         at
> > >
> >
> org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:562)
> > >         at
> > >
> >
> org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:550)
> > >         at
> > >
> >
> org.apache.flink.util.InstantiationUtil.readObjectFromConfig(InstantiationUtil.java:511)
> > >         at
> > >
> >
> org.apache.flink.runtime.operators.util.TaskConfig.getStubWrapper(TaskConfig.java:288)
> > >         at
> > >
> >
> org.apache.flink.runtime.jobgraph.InputOutputFormatContainer.<init>(InputOutputFormatContainer.java:66)
> > >         ... 23 more
> > >
> > >
> > > End of exception on server side>]
> > >         at
> > >
> >
> org.apache.flink.runtime.rest.RestClient.parseResponse(RestClient.java:389)
> > >         at
> > >
> >
> org.apache.flink.runtime.rest.RestClient.lambda$submitRequest$3(RestClient.java:373)
> > >         at
> > >
> >
> java.util.concurrent.CompletableFuture.uniCompose(CompletableFuture.java:952)
> > >         at
> > >
> >
> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:926)
> > >         ... 4 more
> > >
> > >
> > > | |
> > > 王志华
> > > |
> > > |
> > > a15733178518@163.com
> > > |
> > > 签名由网易邮箱大师定制
> > >
> > >
> > > 在2020年05月21日 12:24,Jingsong Li<jingsonglee0@gmail.com> 写道:
> > > Hi,
> > >
> > > 志华,
> > > 如果在Datastream层,你可以使用FiIenputFormat.setFilesFilter来设置文件的过滤器。
> > > 目前Table层并不原生支持filter,你可以考虑自己写一个table
connector。
> > > 但是更推荐的是你能把这个事情换成partition来处理,这个支持的会更自然些。
> > >
> > > jimandlice,
> > > -
> > >
> > >
> >
> 如果是1.10或以前,你需要写一个Datastream作业加上StreamingFileSink来写入Hive,并且列存格式只有parquet的支持。[1]
> > > - 如果是1.11(正在测试发布中),Table/SQL层原生支持streaming
file sink,相关文档正在编写中。
> > >
> > > [1]
> > >
> > >
> >
> https://ci.apache.org/projects/flink/flink-docs-master/dev/connectors/streamfile_sink.html
> > >
> > > Best,
> > > Jingsong Lee
> > >
> > > On Thu, May 21, 2020 at 10:59 AM jimandlice <jimandlice@163.com>
> wrote:
> > >
> > > flink 写入hive 使用api 思路是怎么的呢
> > >
> > >
> > > | |
> > > jimandlice
> > > |
> > > |
> > > 邮箱:jimandlice@163.com
> > > |
> > >
> > > Signature is customized by Netease Mail Master
> > >
> > > 在2020年05月21日 10:57,阿华田 写道:
> > > flink如何支持正则读取一个目录下的文件,比如读取文件名(时间格式命名)满足一定时间范围的文件
> > >
> > >
> > > | |
> > > 王志华
> > > |
> > > |
> > > a15733178518@163.com
> > > |
> > > 签名由网易邮箱大师定制
> > >
> > >
> > >
> > > --
> > > Best, Jingsong Lee
> > >
> >
> >
> > --
> > Best, Jingsong Lee
> >
>
>
> --
> Best, Jingsong Lee
>


-- 
Best, Jingsong Lee

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