Thanks, but the data file will be in proto format or json format? On Wed, Oct 2, 2024 at 1:17 PM Reuven Lax via user <user@beam.apache.org> wrote:
> File load does not return per-row errors (unlike storage API which does). > Dataflow will generally retry the entire file load on error (indefinitely > for streaming and up to 3 times for batch). You can look at the logs to > find the specific error, however it can be tricky to associate it with a > specific row. > > Reuven > > On Wed, Oct 2, 2024 at 1:08 PM hsy...@gmail.com <hsy...@gmail.com> wrote: > >> Any best practice for error handling for file upload job? >> >> On Wed, Oct 2, 2024 at 1:04 PM hsy...@gmail.com <hsy...@gmail.com> wrote: >> >>> STORAGE_API_AT_LEAST_ONCE only saves dataflow engine cost, but the >>> storage api cost alone is too high for us, that's why we want to switch to >>> file upload >>> >>> On Wed, Oct 2, 2024 at 12:08 PM XQ Hu via user <user@beam.apache.org> >>> wrote: >>> >>>> Have you checked >>>> https://cloud.google.com/dataflow/docs/guides/write-to-bigquery? >>>> >>>> autosharding is generally recommended. If the cost is the concern, have >>>> you checked STORAGE_API_AT_LEAST_ONCE? >>>> >>>> On Wed, Oct 2, 2024 at 2:16 PM hsy...@gmail.com <hsy...@gmail.com> >>>> wrote: >>>> >>>>> We are trying to process over 150TB data(streaming unbound) per day >>>>> and save them to BQ and it looks like storage api is not economical >>>>> enough for us. I tried to use file upload but somehow it doesn't work and >>>>> there are not many documents for file upload method online. I have a few >>>>> questions regarding the file_upload method in streaming mode. >>>>> 1. How do I decide numOfFileShards? can I still reply on autosharding? >>>>> 2. I noticed the fileloads method requires much more memory, I'm not >>>>> sure if dataflow runner would keep all the data in memory before writing >>>>> to >>>>> file? If so even one minute data is too much to be kept in memory and less >>>>> than one minute means would exceed the api quota. Is there a way to cap >>>>> the >>>>> memory usage like write data to files before trigger file load job? >>>>> 3. I also noticed that if there is a file upload job failure, I don't >>>>> get the error message, so what can I do to handle the error, what is the >>>>> best practice in terms of error handling in file_upload method? >>>>> >>>>> Thanks! >>>>> Regards, >>>>> Siyuan >>>>> >>>>