可以去 JIRA 中开个 issue 反馈下这个功能。 On Mon, 16 Nov 2020 at 12:45, hectorhedev <hectorhe...@aliyun.com.invalid> wrote:
> 试过了的。但 FileProcessingMode.PROCESS_CONTINUOUSLY > 并不是增量读取,只要文件内容发生变化,就会重新全量读取,与之前的FileMonitoringFunction.WatchType.PROCESS_ONLY_APPENDED > 增量方式不一样,也没有提供增量读取的模式。按官网文档的说法,这是break the “exactly-once” semantics。 > > 这个问题之前的邮件里有讨论过,见: > http://apache-flink.147419.n8.nabble.com/Flink-readFile-tt142.html > 官网文档也有说明: > https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/datastream_api.html#data-sources > > IMPORTANT NOTES: > If the watchType is set to FileProcessingMode.PROCESS_CONTINUOUSLY, when a > file is modified, its contents are re-processed entirely. This can break > the “exactly-once” semantics, as appending data at the end of a file will > lead to all its contents being re-processed. > > val stream = env.readFile(textInputFormat, inputPath, > FileProcessingMode.PROCESS_CONTINUOUSLY, 10) > > > ------------------------------------------------------------------ > 发件人:Jark [via Apache Flink 中文用户邮件列表] <ml+s147419n8633...@n8.nabble.com> > 发送时间:2020年11月16日(星期一) 10:36 > 收件人:hepingtao <hectorhe...@aliyun.com> > 主 题:Re: Flink中readFile中如何只读取增量文件 > > 你试了 FileProcessingMode.PROCESS_CONTINUOUSLY 了么? > > On Mon, 16 Nov 2020 at 09:23, hepingtao <[hidden email]> > wrote: > > > 我也遇到类似的需求,需要增量读取日志文件内容,最终发现用一个已废弃Deprecated的方法 readFileStream > 是可以实现的,代码如下: > > > > val stream = env.readFileStream(inputPath, 10, > > FileMonitoringFunction.WatchType.PROCESS_ONLY_APPENDED) > > > > 源码里说明可以用 readFile(FileInputFormat, String, FileProcessingMode, long) > > 方法替代,但事实上FileProcessingMode并没有对应的 > > watchType与PROCESS_ONLY_APPENDED的功能是一致的,readFileStream这个Source > > Function在未来彻底删除后,如果又没有提供内置的替代方案,就只能自己想办法实现了。 > > > > 所以我的问题是,既然之前有增量读取的方法,为什么要突然废弃掉又不提供替代方案呢?这类需求不合理吗?这让我很不理解,希望得到大家的解答,谢谢! > > > > > > > > -- > > Sent from: http://apache-flink.147419.n8.nabble.com/ > > > > If you reply to this email, your message will be added to the discussion > below: > http://apache-flink.147419.n8.nabble.com/Flink-readFile-tp142p8633.html > To start a new topic under Apache Flink 中文用户邮件列表, email > ml+s147419n1...@n8.nabble.com > To unsubscribe from Apache Flink 中文用户邮件列表, click here. > NAML > >