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Clash Royale CLAN TAG #URR8PPP up vote 6 down vote favorite 1 I realize the question title probably sounds weird, theoretical, or just plain stupid. There's a long backstory to this! root@system:~# less myfile -bash: /bin/less: Input/output error The root filesystem is dead. But my cat is still alive (in my memory): root@system:~# cat > /tmp/somefile C^d root@system:~# He's kind of lonely though, all his friends are gone: root@system:~# mount -bash: /bin/mount: Input/output error root@system:~# dmesg -bash: /bin/dmesg: Input/output error root@system:~# less -bash: /bin/less: Input/output error root@system:~# chmod -bash: /bin/chmod: Input/output error The system is still running, and fulfilling its purpose. I know, I know, the only sane response to this is to get the system down and replace the root drive. Unfortunately that's not a option as it would cost a lot of time and money. Also, it would kill my cat, and that would make me sad. I've thought of br...

Clash Royale CLAN TAG #URR8PPP .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty margin-bottom:0; up vote 1 down vote favorite I'm using the Bulk API to make updates to ~50k records. I'm splitting those up into jobs of about 5k apiece, but I was hoping there'd be a way to control the batch size similar to that of using Dataloader (ie: you can tell it to process in chunks of 200 records at a time, or 1 record at a time). Is this configurable? Or if not is there a different way to achieve this? The main issue is that some of the jobs fail due to a record triggering too many workflows that bog down the execution time, so I'd rather try and isolate those and use smaller batch sizes. api bulk-api share | improve this question asked 3 hours ago Matt 525 4 13 add a comment  |  up vote 1 down vote favorite I'm using the Bulk API to make updates to ~50k records. I'm splitting those...