好的 谢谢
| | jimandlice | | 邮箱:jimandl...@163.com | Signature is customized by Netease Mail Master 在2020年05月21日 19:42,Jingsong Li 写道: 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 <jimandl...@163.com> wrote: > 1.11的话 能提供一个demo么 > > > > > | | > jimandlice > | > | > 邮箱:jimandl...@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 <jimandl...@163.com> wrote: > > > 写入之后 还需要用脚本倒数据入hive么 > > > > > > > > > > | | > > jimandlice > > | > > | > > 邮箱:jimandl...@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 <a15733178...@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 > > > | > > > | > > > a15733178...@163.com > > > | > > > 签名由网易邮箱大师定制 > > > > > > > > > 在2020年05月21日 12:24,Jingsong Li<jingsongl...@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 <jimandl...@163.com> > wrote: > > > > > > flink 写入hive 使用api 思路是怎么的呢 > > > > > > > > > | | > > > jimandlice > > > | > > > | > > > 邮箱:jimandl...@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 > > > | > > > | > > > a15733178...@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