mirror of https://gitee.com/openkylin/linux.git
159 lines
6.6 KiB
Plaintext
159 lines
6.6 KiB
Plaintext
Guidance for writing policies
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=============================
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Try to keep transactionality out of it. The core is careful to
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avoid asking about anything that is migrating. This is a pain, but
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makes it easier to write the policies.
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Mappings are loaded into the policy at construction time.
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Every bio that is mapped by the target is referred to the policy.
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The policy can return a simple HIT or MISS or issue a migration.
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Currently there's no way for the policy to issue background work,
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e.g. to start writing back dirty blocks that are going to be evicte
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soon.
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Because we map bios, rather than requests it's easy for the policy
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to get fooled by many small bios. For this reason the core target
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issues periodic ticks to the policy. It's suggested that the policy
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doesn't update states (eg, hit counts) for a block more than once
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for each tick. The core ticks by watching bios complete, and so
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trying to see when the io scheduler has let the ios run.
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Overview of supplied cache replacement policies
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===============================================
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multiqueue (mq)
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---------------
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This policy has been deprecated in favor of the smq policy (see below).
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The multiqueue policy has three sets of 16 queues: one set for entries
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waiting for the cache and another two for those in the cache (a set for
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clean entries and a set for dirty entries).
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Cache entries in the queues are aged based on logical time. Entry into
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the cache is based on variable thresholds and queue selection is based
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on hit count on entry. The policy aims to take different cache miss
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costs into account and to adjust to varying load patterns automatically.
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Message and constructor argument pairs are:
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'sequential_threshold <#nr_sequential_ios>'
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'random_threshold <#nr_random_ios>'
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'read_promote_adjustment <value>'
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'write_promote_adjustment <value>'
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'discard_promote_adjustment <value>'
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The sequential threshold indicates the number of contiguous I/Os
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required before a stream is treated as sequential. Once a stream is
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considered sequential it will bypass the cache. The random threshold
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is the number of intervening non-contiguous I/Os that must be seen
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before the stream is treated as random again.
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The sequential and random thresholds default to 512 and 4 respectively.
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Large, sequential I/Os are probably better left on the origin device
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since spindles tend to have good sequential I/O bandwidth. The
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io_tracker counts contiguous I/Os to try to spot when the I/O is in one
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of these sequential modes. But there are use-cases for wanting to
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promote sequential blocks to the cache (e.g. fast application startup).
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If sequential threshold is set to 0 the sequential I/O detection is
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disabled and sequential I/O will no longer implicitly bypass the cache.
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Setting the random threshold to 0 does _not_ disable the random I/O
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stream detection.
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Internally the mq policy determines a promotion threshold. If the hit
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count of a block not in the cache goes above this threshold it gets
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promoted to the cache. The read, write and discard promote adjustment
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tunables allow you to tweak the promotion threshold by adding a small
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value based on the io type. They default to 4, 8 and 1 respectively.
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If you're trying to quickly warm a new cache device you may wish to
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reduce these to encourage promotion. Remember to switch them back to
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their defaults after the cache fills though.
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Stochastic multiqueue (smq)
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---------------------------
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This policy is the default.
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The stochastic multi-queue (smq) policy addresses some of the problems
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with the multiqueue (mq) policy.
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The smq policy (vs mq) offers the promise of less memory utilization,
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improved performance and increased adaptability in the face of changing
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workloads. SMQ also does not have any cumbersome tuning knobs.
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Users may switch from "mq" to "smq" simply by appropriately reloading a
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DM table that is using the cache target. Doing so will cause all of the
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mq policy's hints to be dropped. Also, performance of the cache may
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degrade slightly until smq recalculates the origin device's hotspots
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that should be cached.
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Memory usage:
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The mq policy uses a lot of memory; 88 bytes per cache block on a 64
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bit machine.
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SMQ uses 28bit indexes to implement it's data structures rather than
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pointers. It avoids storing an explicit hit count for each block. It
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has a 'hotspot' queue rather than a pre cache which uses a quarter of
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the entries (each hotspot block covers a larger area than a single
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cache block).
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All these mean smq uses ~25bytes per cache block. Still a lot of
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memory, but a substantial improvement nontheless.
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Level balancing:
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MQ places entries in different levels of the multiqueue structures
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based on their hit count (~ln(hit count)). This means the bottom
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levels generally have the most entries, and the top ones have very
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few. Having unbalanced levels like this reduces the efficacy of the
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multiqueue.
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SMQ does not maintain a hit count, instead it swaps hit entries with
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the least recently used entry from the level above. The over all
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ordering being a side effect of this stochastic process. With this
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scheme we can decide how many entries occupy each multiqueue level,
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resulting in better promotion/demotion decisions.
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Adaptability:
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The MQ policy maintains a hit count for each cache block. For a
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different block to get promoted to the cache it's hit count has to
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exceed the lowest currently in the cache. This means it can take a
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long time for the cache to adapt between varying IO patterns.
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Periodically degrading the hit counts could help with this, but I
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haven't found a nice general solution.
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SMQ doesn't maintain hit counts, so a lot of this problem just goes
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away. In addition it tracks performance of the hotspot queue, which
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is used to decide which blocks to promote. If the hotspot queue is
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performing badly then it starts moving entries more quickly between
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levels. This lets it adapt to new IO patterns very quickly.
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Performance:
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Testing SMQ shows substantially better performance than MQ.
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cleaner
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-------
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The cleaner writes back all dirty blocks in a cache to decommission it.
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Examples
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========
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The syntax for a table is:
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cache <metadata dev> <cache dev> <origin dev> <block size>
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<#feature_args> [<feature arg>]*
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<policy> <#policy_args> [<policy arg>]*
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The syntax to send a message using the dmsetup command is:
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dmsetup message <mapped device> 0 sequential_threshold 1024
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dmsetup message <mapped device> 0 random_threshold 8
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Using dmsetup:
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dmsetup create blah --table "0 268435456 cache /dev/sdb /dev/sdc \
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/dev/sdd 512 0 mq 4 sequential_threshold 1024 random_threshold 8"
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creates a 128GB large mapped device named 'blah' with the
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sequential threshold set to 1024 and the random_threshold set to 8.
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