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authorColy Li <[email protected]>2020-03-22 14:03:01 +0800
committerJens Axboe <[email protected]>2020-03-22 10:06:57 -0600
commit8e7102273f597dbb38af43da874f8c123f8e6dbe (patch)
tree8f03c2d6e9998cae3fa1172d93dc556d5cca50f4 /tools/perf/scripts/python/exported-sql-viewer.py
parentfeac1a70b806373d076a95b739c4feeceb21e814 (diff)
bcache: make bch_btree_check() to be multithreaded
When registering a cache device, bch_btree_check() is called to check all btree nodes, to make sure the btree is consistent and not corrupted. bch_btree_check() is recursively executed in a single thread, when there are a lot of data cached and the btree is huge, it may take very long time to check all the btree nodes. In my testing, I observed it took around 50 minutes to finish bch_btree_check(). When checking the bcache btree nodes, the cache set is not running yet, and indeed the whole tree is in read-only state, it is safe to create multiple threads to check the btree in parallel. This patch tries to create multiple threads, and each thread tries to one-by-one check the sub-tree indexed by a key from the btree root node. The parallel thread number depends on how many keys in the btree root node. At most BCH_BTR_CHKTHREAD_MAX (64) threads can be created, but in practice is should be min(cpu-number/2, root-node-keys-number). Signed-off-by: Coly Li <[email protected]> Cc: Christoph Hellwig <[email protected]> Signed-off-by: Jens Axboe <[email protected]>
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