Hello,

Thank you Adam and Rajath.

I'll split input sstables and run parallel jobs for each.
I tested this approach and run 3 parallel sstableloader job without -t 
parameter.
I raised stream_throughput_outbound_megabits_per_sec parameter from 200 to 600 
Mbit/sec at all of target nodes.
But each job runs about 10MB/sec only and generates about 100Mbit'sec network 
traffic.
At total this can be much more. Source and target servers has plenty of unused 
cpu, io and network resource.
Do you have any idea how can I increase speed of sstableloader job?

Regards,
Osman

On 10-10-2016 22:05, Rajath Subramanyam wrote:
Hi Osman,

You cannot restart the streaming only to the failed nodes specifically. You can 
restart the sstableloader job itself. Compaction will eventually take care of 
the redundant rows.

- Rajath

------------------------
Rajath Subramanyam


On Sun, Oct 9, 2016 at 7:38 PM, Adam Hutson 
<a...@datascale.io<mailto:a...@datascale.io>> wrote:
It'll start over from the beginning.


On Sunday, October 9, 2016, Osman YOZGATLIOGLU 
<osman.yozgatlio...@krontech.com<mailto:osman.yozgatlio...@krontech.com>> wrote:
Hello,

I have running a sstableloader job.
Unfortunately some of nodes restarted since beginnig streaming.
I see streaming stop for those nodes.
Can I restart those streaming somehow?
Or if I restart sstableloader job, will it start from beginning?

Regards,
Osman


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