+66
−70
+4
−0
+2
−0
Loading
Gitlab 现已全面支持 git over ssh 与 git over https。通过 HTTPS 访问请配置带有 read_repository / write_repository 权限的 Personal access token。通过 SSH 端口访问请使用 22 端口或 13389 端口。如果使用CAS注册了账户但不知道密码,可以自行至设置中更改;如有其他问题,请发邮件至 service@cra.moe 寻求协助。
The buffer cache hash is showing typical hash scalability problems. In large scale testing the number of cached items growing far larger than the hash can efficiently handle. Hence we need to move to a self-scaling cache indexing mechanism. I have selected rbtrees for indexing becuse they can have O(log n) search scalability, and insert and remove cost is not excessive, even on large trees. Hence we should be able to cache large numbers of buffers without incurring the excessive cache miss search penalties that the hash is imposing on us. To ensure we still have parallel access to the cache, we need multiple trees. Rather than hashing the buffers by disk address to select a tree, it seems more sensible to separate trees by typical access patterns. Most operations use buffers from within a single AG at a time, so rather than searching lots of different lists, separate the buffer indexes out into per-AG rbtrees. This means that searches during metadata operation have a much higher chance of hitting cache resident nodes, and that updates of the tree are less likely to disturb trees being accessed on other CPUs doing independent operations. Signed-off-by:Dave Chinner <dchinner@redhat.com> Reviewed-by:
Christoph Hellwig <hch@lst.de> Reviewed-by:
Alex Elder <aelder@sgi.com>
CRA Git | Maintained and supported by SUSTech CRA and CCSE