"
Streamed view updates parasitized on writing io priority, which is
reserved for user writes - it's now properly bound to streaming
write priority.
Verified manually by checking appropriate io metrics: scylla_io_queue_total_bytes{class="streaming_write" ...} vs scylla_io_queue_total_bytes{class="query" ...}
Tests: unit(dev)
"
Fixes#4615.
* 'assign_proper_io_priority_to_streaming_view_updates' of https://github.com/psarna/scylla:
db,view: wrap view update generation in stream scheduling group
database: assign proper io priority for streaming view updates
(cherry picked from commit 2c7435418a)
"
As the amount of pending view updates increases we know that there’s a
mismatch between the rate at which the base receives writes and the
rate at which the view retires them. We react by applying backpressure
to decrease the rate of incoming base writes, allowing the slow view
replicas to catch up. We want to delay the client’s next writes to a
base replica and we use the base’s backlog of view updates to derive
this delay.
To validate this approach we tested a 3 node Scylla cluster on GCE,
using n1-standard-4 instances with NVMEs. A loader running on a
n1-standard-8 instance run cassandra-stress with 100 threads. With the
delay function d(x) set to 1s, we see no base write timeouts. With the
delay function as defined in the series, we see that backlogs stabilize
at some (arbitrary) point, as predicted, but this stabilization
co-exists with base write timeouts. However, the system overall behaves
better than the current version, with the 100 view update limit, and
also better than the version without such limit or any backpressure.
More work is necessary to further stabilize the system. Namely, we want
to keep delaying until we see the backlog is decreasing. This will
require us to add more delay beyond the stabilization point, which in
turn should minimize the base write timeouts, and will also minimize the
amount of memory the backlog takes at each base replica.
Design document:
https://docs.google.com/document/d/1J6GeLBvN8_c3SbLVp8YsOXHcLc9nOLlRY7pC6MH3JWoFixes#2538
"
Reviewed-by: Nadav Har'El <nyh@scylladb.com>
* 'materialized-views/backpressure/v2' of https://github.com/duarten/scylla: (32 commits)
service/storage_proxy: Release mutation as early as possible
service/storage_proxy: Delay replica writes based on view update backlog
service/storage_proxy: Get the backlog of a particular base replica
service/storage_proxy: Add counters for delayed base writes
main: Start and stop the view_update_backlog_broker
service: Distribute a node's view update backlog
service: Advertise view update backlog over gossip
service/storage_proxy: Send view update backlog from replicas
service/storage_proxy: Prepare to receive replica view update backlog
service/storage_proxy: Expose local view update backlog
tests/view_schema_test: Add simple test for db::view::node_update_backlog
db/view: Introduce node_update_backlog class
db/hints: Initialize current backlog
database: Add counter for current view backlog
database: Expose current memory view update backlog
idl: Add db::view::update_backlog
db/view: Add view_update_backlog
database: Wait on view update semaphore for view building
service/storage_proxy: Use near-infinite timeouts for view updates
database: generate_and_propagate_view_updates no longer needs a timeout
...
(cherry picked from commit b66f59aa3d)
During streaming, there are cases when we should invoke the view write
path. In particular, if we're streaming because of repair or if a view
has not yet finished building and we're bootstrapping a new node.
The design constraints are:
1) The streamed writes should be visible to new writes, but the
sstable should not participate in compaction, or we would lose the
ability to exclude the streamed writes on a restart;
2) The streamed writes must not be considered when generating view
updates for them;
3) Resilient to node restarts;
4) Resilient to concurrent stream sessions, possibly streaming mutations for overlapping ranges.
We achieve this by writing the streamed writes to an sstable in a
different folder, call it "staging". We achieve 1) by publishing the
sstable to the column family sstable set, but excluding it from
compactions. We do these steps upon boot, by looking at the staging
directory, thus achieving 3).
Fixes#3275
* 'streaming_view_to_staging_sstables_9' of https://github.com/psarna/scylla: (29 commits)
tests: add materialized views test
tests: add view update generator to cql test env
main: add registering staging sstables read from disk
database: add a check if loaded sstable is already staging
database: add get_staging_sstable method
streaming: stream tables with views through staging sstables
streaming: add system distributed keyspace ref to streaming
streaming: add view update generator reference to streaming
main: add generating missed mv updates from staging sstables
storage_service: move initializing sys_dist_ks before bootstrap
db/view: add view_update_from_staging_generator service
db/view: add view updating consumer
table: add stream_view_replica_updates
table: split push_view_replica_updates
table: add as_mutation_source_excluding
table: move push_view_replica_updates to table.cc
database: add populating tables with staging sstables
database: add creating /staging directory for sstables
database: add sstable-excluding reader
table: add move_sstable_from_staging_in_thread function
...
(cherry picked from commit a38f6078fb)
