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Dec 21, 2017 at 9:08 comment added Bart Juriewicz When using e.g. dataloader, there's no need to do anything else than just select csv and use bulk DML. 10k seems to be the standard DML limit, so I can't see much benefit here to be honset. I still feel like there is (or should be...) a way to do is without creating chunks manually
Dec 20, 2017 at 14:55 comment added battery.cord To submit all the records in the same job might require a different api, but from what I can tell, creating a large number of separate batch jobs with sequenced data, and submitting them at the same time, and managing the exceptions asynchronously seems like a better solution than waiting for each job to be processed before inserting the next batch, but I don't know a lot about your use case.
Dec 20, 2017 at 14:53 comment added battery.cord "The chunk size depends on the API version. In API version 20.0 and earlier, the chunk size is 100 records. In API version 21.0 and later, the chunk size is 200 records."
Dec 20, 2017 at 14:50 comment added Bart Juriewicz That seems more like a batch chunk size limit. I really don't care about chunks size, I'd like this bulk method or API itself to get its job done.
Dec 20, 2017 at 14:34 history edited battery.cord CC BY-SA 3.0
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Dec 20, 2017 at 14:26 history answered battery.cord CC BY-SA 3.0