This commit adds statistics to row_locker class. Metrics are
independendly counted for all lock types: row<->partition and
exclusive<->shared.
Metrics gathered:
- total acquisitions
- operations that wait on the lock
- histogram of the time spent on waiting on this type of lock
References #3385
References #3416
This ensures we respect the write timeout set by the client when
applying base writes, in case a writes takes too long to acquire the
row lock for the read-before-write phase of a materialized view
update.
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
Message-Id: <20180507132755.8751-1-duarte@scylladb.com>
This patch adds a "row_locker" class providing locking (shard-locally) of
individual clustering rows or entire partitions, and both exclusive and
shared locks (a.k.a. reader/writer lock).
As we'll see in a following patch, we need this locking capability for
materialized views, to serialize the read-modify-update modifications
which involve the same rows or partitions.
The new row_locker is significantly different from the existing cell_locker.
The two main differences are that 1. row_locker also supports locking the
entire partition, not just individual rows (or cells in them), and that
2. row_locker supports also shared (reader) locks, not just exclusive locks.
For this reason we opted for a new implementation, instead of making large
modificiations to the existing cell_locker. And we put the source files
in the view/ directory, because row_locker's requirements are pretty
specific to the needs of materialized views.
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
