Before this patch, when a base table has many materialized views,
each write to this table can start up to 128 view updates in parallel.
With high client write concurrency, the actual concurrency of writes
executed on the node may grow unexpectedly, which can lead to higher
latency and higher memory usage compared to a sequential approach.
In this patch we add a per-shard, per-service-level semaphore which
limits the number of concurrent view updates processed on the shard
in this service level to a constant value. We take one unit from the
semaphore for each local view update write, and releasing it when it
finishes. The remote view updates do not take units from the semaphore
because they don't consume nearly as much processing power and they
are limited by another semaphore based on their memory usage.
Fixes https://github.com/scylladb/scylladb/issues/25341Closesscylladb/scylladb#25456
* github.com:scylladb/scylladb:
mv: limit concurrent view updates from all sources
database: rename _view_update_concurrency_sem to _view_update_memory_sem
d81796cae3