On 1 Feb 2018, at 8:06 PM, Kien Truong <[hidden email]> wrote:Hi,
I did not actually test this, but I think with Flink 1.4 you can extend BucketingSink and overwrite the invoke method to access the watermark
Pseudo code:
invoke(IN value, SinkFunction.Context context) {long currentWatermark = context.watermark()long taskIndex = getRuntimeContext().getIndexOfThisSubtask()if (taskIndex == 0 && currentWatermark - lastSuccessWatermark > 1 hour) {Write _SUCCESSlastSuccessWatermark = currentWatermark round down to 1 hour}invoke(value)}Regards, Kien
On 1/31/2018 5:54 PM, xiaobin yan wrote:
Hi: I think so too! But I have a question that when should I add this logic in BucketingSink! And who does this logic, and ensures that the logic is executed only once, not every parallel instance of the sink that executes this logic! Best, BenOn 31 Jan 2018, at 5:58 PM, Hung [hidden email] wrote: it depends on how you partition your file. in my case I write file per hour, so I'm sure that file is ready after that hour period, in processing time. Here, read to be ready means this file contains all the data in that hour period. If the downstream runs in a batch way, you may want to ensure the file is ready. In this case, ready to read can mean all the data before watermark as arrived. You could take the BucketingSink and implement this logic there, maybe wait until watermark reaches Best, Sendoh -- Sent from: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/
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