Consider the following scenario:
- Current replica set is [A, B, C]
- write succeeds on [A, B], and a hint is logged for node C
- before the hint is replayed, D bootstraps and the token migrates from C to D
- hint is replayed to node C while D is pending, but it's too late, since streaming for that token is already done
- C is cleaned up, replayed data is lost, and D has a stale copy until next repair.
In the scenario we effectively fail to send the hint. This scenario is also more likely to happen with tablets,
as it can happen for every tablet migration.
This issue is particularly detrimental to materialized views. View updates use hints by default and a specific
view update may be sent to just one view replica (when a single base replica has a different row state due to
reordering or missed writes). When we lose a hint for such a view update, we can generate a persistent inconsistency
between the base and view - ghost rows can appear due to a lost tombstone and rows may be missing in the view due
to a lost row update. Such inconsistencies can't be fixed neither by repairing the view or the base table.
To handle this, in this patch we add the pending replicas to the list of targets of each hint, even if the original
target is still alive.
This will cause some updates to be redundant. These updates are probably unavoidable for now, but they shouldn't
be too common either. The scenarios for them are:
1. managing to send the hint to the source of a migrating replica before streaming that its token - the write will
arrive on the pending replica anyway in streaming
2. the hint target not being the source of the migration - if we managed to apply the original write of the hint to
the actual source of the migration, the pending replica will get it during streaming
3. sending the same hint to many targets at a similar time - while sending to each target, we'll see the same pending
replica for the hint so we'll send it multiple times
4. possible retries where even though the hint was successfully sent to the main target, we failed to send it to the
pending replica, so we need to retry the entire write
This patch handles both tablet migrations and tablet rebuilds. In the future, for tablet migrations, we can avoid
sending the hint to pending replias if the hint target is not the source fo the migration, which would allow us to
avoid the redundant writes 2 and 3. For rack-aware RF, this will be as simple as checking whether the replicas are
in the same rack.
We also add a test case reproducing the issue.
Co-Authored-By: Raphael S. Carvalho <raphaelsc@scylladb.com>
Fixes https://github.com/scylladb/scylladb/issues/19835Closesscylladb/scylladb#25590
(cherry picked from commit 10b8e1c51c)
Closesscylladb/scylladb#25882
Fixes#25683
Once a table drop is complete, there should be no reason to retain
truncation records for it, as any replay should skip mutations
anyway (no CF), and iff we somehow resurrect a dropped table,
this replay-resurrected data is the least problem anyway.
Adds a prune phase to the startup drop_truncation_rp_records run,
which ignores updating, and instead deletes records for non-existant
tables (which should patch any existing servers with lingering data
as well).
Also does an explicit delete of records on actual table DROP, to
ensure we don't grow this table more than needed even in long
uptime nodes.
Small unit test included.
Closesscylladb/scylladb#25699
(cherry picked from commit bc20861afb)
Closesscylladb/scylladb#25815
Before these changes, the logs in hinted handoff often didn't provide
crucial information like the identifier of the node that hints were
being sent to. Also, some of the logs were misleading and referred to
other places in the code than the one where an exception or some other
situation really occurred.
We modify those logs, extending them by more valuable information
and fixing existing issues. What's more, all of the logs in
`hint_endpoint_manager` and `hint_sender` follow a consistent format
now:
```
<class_name>[<destination host ID>]:<function_name>: <message>
```
This way, we should always have AT LEAST the basic information.
Fixes scylladb/scylladb#25466
Backport:
There is no risk in backporting these changes. They only have
impact on the logs. On the other hand, they might prove helpful
when debugging an issue in hinted handoff.
- (cherry picked from commit 2327d4dfa3)
- (cherry picked from commit d7bc9edc6c)
- (cherry picked from commit 6f1fb7cfb5)
Parent PR: #25470Closesscylladb/scylladb#25538
* github.com:scylladb/scylladb:
db/hints: Add new logs
db/hints: Adjust log levels
db/hints: Improve logs
This PR implements solution proposed in scylladb/scylladb#24481
Instead of terminating connections immediately, the shutdown now proceeds in two stages: first closing the receive (input) side to stop new requests, then waiting for all active requests to complete before fully closing the connections.
The updated shutdown process is as follows:
1. Initial Shutdown Phase
* Close the accept gate to block new incoming connections.
* Abort all accept() calls.
* For all active connections:
* Close only the input side of the connection to prevent new requests.
* Keep the output side open to allow responses to be sent.
2. Drain Phase
* Wait for all in-progress requests to either complete or fail.
3. Final Shutdown Phase
* Fully close all connections.
Fixes scylladb/scylladb#24481
- (cherry picked from commit 122e940872)
- (cherry picked from commit 3848d10a8d)
- (cherry picked from commit 3610cf0bfd)
- (cherry picked from commit 27b3d5b415)
- (cherry picked from commit 061089389c)
- (cherry picked from commit 7334bf36a4)
- (cherry picked from commit ea311be12b)
- (cherry picked from commit 4f63e1df58)
Parent PR: #24499Closesscylladb/scylladb#25519
* github.com:scylladb/scylladb:
test: Set `request_timeout_on_shutdown_in_seconds` to `request_timeout_in_ms`, decrease request timeout.
generic_server: Two-step connection shutdown.
transport: consmetic change, remove extra blanks.
transport: Handle sleep aborted exception in sleep_until_timeout_passes
generic_server: replace empty destructor with `= default`
generic_server: refactor connection::shutdown to use `shutdown_input` and `shutdown_output`
generic_server: add `shutdown_input` and `shutdown_output` functions to `connection` class.
test: Add test for query execution during CQL server shutdown
The gossiper can call `storage_service::on_change` frequently (see scylladb/scylla-enterprise#5613), which may cause high CPU load and even trigger OOMs or related issues.
This PR adds a temporary cache for `system.peers` to resolve host_id -> ip without hitting storage on every call. The cache is short-lived to handle the unlikely case where `system.peers` is updated directly via CQL.
This is a temporary fix; a more thorough solution is tracked in https://github.com/scylladb/scylladb/issues/25620.
Fixes scylladb/scylladb#25660
backport: this patch needs to be backported to all supported versions (2025.1/2/3).
- (cherry picked from commit 91c633371e)
- (cherry picked from commit de5dc4c362)
- (cherry picked from commit 4b907c7711)
Parent PR: #25658Closesscylladb/scylladb#25766
* github.com:scylladb/scylladb:
storage_service: move get_host_id_to_ip_map to system_keyspace
system_keyspace: use peers cache in get_ip_from_peers_table
storage_service: move get_ip_from_peers_table to system_keyspace
Reimplemented the function to use the peers cache. It could be replaced
with get_ip_from_peers_table, but that would create a coroutine frame for
each call.
(cherry picked from commit 4b907c7711)
The storage_service::on_change method can be called quite often
by the gossiper, see scylladb/scylla-enterprise#5613. In this commit
we introduce a temporal cache for system.peers so that we don't have
to go to the storage each time we need to resolve host_id -> ip.
We keep the cache only for a small amount of time to handle the
(unlikely) scenario when the user wants to update system.peers table
from CQL.
Fixesscylladb/scylladb#25660
(cherry picked from commit de5dc4c362)
We plan to add a cache to get_ip_from_peers_table in upcoming commits.
It's more convenient to do this from system_keyspace, since the only two
methods that mutate system.peers (remove_endpoint and update_peers_info)
are already there.
(cherry picked from commit 91c633371e)
Fixes#25682
Refs scylla-enterprise#5580
If the truncation table is large in entries, we might create a
huge parallel execution, quite possibly consuming loads of resources
doing something quite trivial.
Limit concurrency to a small-ish number
Closesscylladb/scylladb#25678
(cherry picked from commit 2eccd17e70)
Closesscylladb/scylladb#25751
We're providing additional information in error messages when throwing
an exception related to data corruption: when a segment is truncated
and when it's content is invalid. That might prove helpful when debugging.
Closesscylladb/scylladb#25190
(cherry picked from commit 408b45fa7e)
Closesscylladb/scylladb#25461
Fixes#25709
If we have large allocations, spanning more than one segment, and
the internal segment references from lead to secondary are the
only thing keeping a segment alive, the implicit drop in
discard_unused_segments and orphan_all can cause a recursive call
to discard_unused_segments, which in turn can lead to vector
corruption/crash, or even double free of segment (iterator confusion).
Need to separate the modification of the vector (_segments) from
actual releasing of objects. Using temporaries is the easiest
solution.
To further reduce recursion, we can also do an early clear of
segment dependencies in callbacks from segment release (cf release).
Closesscylladb/scylladb#25719
(cherry picked from commit cc9eb321a1)
Closesscylladb/scylladb#25756
We're adding new logs in just a few places that may however prove
important when debugging issues in hinted handoff in the future.
(cherry picked from commit 6f1fb7cfb5)
Some of the logs could be clogging Scylla's logs, so we demote their
level to a lower one.
On the other hand, some of the logs would most likely not do that,
and they could be useful when debugging -- we promote them to debug
level.
(cherry picked from commit d7bc9edc6c)
Before these changes, the logs in hinted handoff often didn't provide
crucial information like the identifier of the node that hints were
being sent to. Also, some of the logs were misleading and referred to
other places in the code than the one where an exception or some other
situation really occurred.
We modify those logs, extending them by more valuable information
and fixing existing issues. What's more, all of the logs in
`hint_endpoint_manager` and `hint_sender` follow a consistent format
now:
```
<class_name>[<destination host ID>]:<function_name>: <message>
```
This way, we should always have AT LEAST the basic information.
(cherry picked from commit 2327d4dfa3)
When shutting down in `generic_server`, connections are now closed in two steps.
First, only the RX (receive) side is shut down. Then, after all ongoing requests
are completed, or a timeout happened the connections are fully closed.
Fixesscylladb/scylladb#24481
(cherry picked from commit ea311be12b)
Currently, `peers_table_read_fixup` removes rows with no `host_id`, but
not with null `host_id`. Null host IDs are known to appear in system
tables, for example in `system.cluster_status` after a failed bootstrap.
We better make sure we handle them properly if they ever appear in
`system.peers`.
This commit guarantees that null UUID cannot belong to
`loaded_endpoints` in `storage_service::join_cluster`, which in
particular ensures that we throw a runtime error when a user sets
`recovery_leader` to null UUID during the recovery procedure. This is
handled by the code verifying that `recovery_leader` belongs to
`loaded_endpoints`.
(cherry picked from commit 23f59483b6)
We change the type of the `recovery_leader` config parameter and
`gossip_config::recovery_leader` from sstring to UUID. `recovery_leader`
is supposed to store host ID, so UUID is a natural choice.
After changing the type to UUID, if the user provides an incorrect UUID,
parsing `recovery_leader` will fail early, but the start-up will
continue. Outside the recovery procedure, `recovery_leader` will then be
ignored. In the recovery procedure, the start-up will fail on:
```
throw std::runtime_error(
"Cannot start - Raft-based topology has been enabled but persistent group 0 ID is not present. "
"If you are trying to run the Raft-based recovery procedure, you must set recovery_leader.");
```
(cherry picked from commit 445a15ff45)
This reverts commit 04fb2c026d. 2025.3 got
the reduced threshold, but won't get many of the fixes the warning will
generate, leaving it very noisy. Better to avoid the noise for this release.
Fixes#24384.
Add a test of the batchlog manager replay loop applying failed batches
while some replica is down.
The test reproduces an issue where the batchlog manager tries to replay
a failed batch, doesn't get a response from some replica, and becomes
stuck.
It verifies that the batchlog manager can eventually recover from this
situation and continue applying failed batches.
(cherry picked from commit a9b476e057)
Set a timeout on writes of replayed batches by the batchlog manager.
We want to avoid having infinite timeout for the writes in case it gets
stuck for some unexpected reason.
The timeout is set to be high enough to allow any reasonable write to
complete.
(cherry picked from commit 74a3fa9671)
On shutdown of batchlog manager, abort all writes of replayed batches
by the batchlog manager.
To achieve this we set the appropriate write_type to BATCH, and on
shutdown cancel all write handlers with this type.
(cherry picked from commit 7150632cf2)
When replaying a batch mutation from the batchlog manager and sending it
to all replicas, create the write response handler as cancellable.
To achieve this we define a new wrapper type for batchlog mutations -
batchlog_replay_mutation, and this allows us to overload
create_write_response_handler for this type. This is similar to how it's
done with hint_wrapper and read_repair_mutation.
(cherry picked from commit fc5ba4a1ea)
Although valid for compact tables, non-full (or empty) clustering key prefixes are not handled for row keys when writing sstables. Only the present components are written, consequently if the key is empty, it is omitted entirely.
When parsing sstables, the parsing code unconditionally parses a full prefix.
This mis-match results in parsing failures, as the parser parses part of the row content as a key resulting in a garbage key and subsequent mis-parsing of the row content and maybe even subsequent partitions.
Introduce a new system table: `system.corrupt_data` and infrastructure similar to `large_data_handler`: `corrupt_data_handler` which abstracts how corrupt data is handled. The sstable writer now passes rows such corrupt keys to the corrupt data handler. This way, we avoid corrupting the sstables beyond parsing and the rows are also kept around in system.corrupt_data for later inspection and possible recovery.
Add a full-stack test which checks that rows with bad keys are correctly handled.
Fixes: https://github.com/scylladb/scylladb/issues/24489
The bug is present in all versions, has to be backported to all supported versions.
Closesscylladb/scylladb#24492
* github.com:scylladb/scylladb:
test/boost/sstable_datafile_test: add test for corrupt data
sstables/mx/writer: handler rows with empty keys
test/lib/cql_assertions: introduce columns_assertions
sstables: add corrupt_data_handler to sstables::sstables
tools/scylla-sstable: make large_data_handler a local
db: introduce corrupt_data_handler
mutation: introduce frozen_mutation_fragment_v2
mutation/mutation_partition_view: read_{clustering,static}_row(): return row type
mutation/mutation_partition_view: extract de-ser of {clustering,static} row
idl-compiler.py: generate skip() definition for enums serializers
idl: extract full_position.idl from position_in_partition.idl
db/system_keyspace: add apply_mutation()
db/system_keyspace: introduce the corrupt_data table
When writing large partitions, that is: partitions with size or row count
above a configurable threshold, ScyllaDB outputs a warning to the log:
WARN ... large_data - Writing large partition test/test: (1200031 bytes) to me-3glr_0xkd_54jip2i8oqnl7hk8mu-big-Data.db
This warning contains the information about the size of the partition,
but it does not contain the number of rows written. This can lead to
confusion because in cases where the warning was written because of the
row count being larger than the threshold, but the partition size is below
the threshold, the warning will only contain the partition size in bytes,
leading the user to believe the warning was output because of the
partition size, when in reality it was the row count that triggered the
warning. See #20125
This change adds a size_desc argument to cql_table_large_data_handler::try_record(),
which will contain the description of the size of the object written.
This method is used to output warnings for large partitions, row counts,
row sizes and cell sizes. This change does not modify the warning message
for row and cell sizes, only for partition size and row count.
The warning for large partitions and row counts will now look like this:
WARN ... large_data - Writing large partition test/test: (1200031 bytes/100001 rows) to me-3glr_0xkd_54jip2i8oqnl7hk8mu-big-Data.db
Closesscylladb/scylladb#22010
Similar to large_data_handler, this interface allows sstable writers to
delegate the handling of corrupt data.
Two implementations are provided:
* system_table_corrupt_data_handler - saved corrupt data in
system.corrupt_data, with a TTL=10days (non-configurable for now)
* nop_corrupt_data_handler - drops corrupt data
Allow applying writes in the form of mutations directly to the keyspace.
Allows lower-level mutation API to build writes. Advantageous if writes
can contain large cells that would otherwise possibly cause large
allocation warnings if used via the internal CQL API.
To serve as a place to store corrupt mutation fragments. These fragments
cannot be written to sstables, as they would be spread around by
compaction and/or repair. They even might make parsing the sstable
impossible. So they are stored in this special table instead, kept
around to be inspected later and possibly restored if possible.
Currently only one global topology request (such as truncate, cdc repair, cleanup and alter table) can be pending. If one is already pending others will be rejected with an error. This is not very user friendly, so this series introduces a queue of global requests which allows queuing many global topology requests simultaneously.
Fixes: #16822
No need to backport since this is a new feature.
Closesscylladb/scylladb#24293
* https://github.com/scylladb/scylladb:
topology coordinator: simplify truncate handling in case request queue feature is disable
topology coordinator: fix indentation after the previous patch
topology coordinator: allow running multiple global commands in parallel
topology coordinator: Implement global topology request queue
topology coordinator: Do not cancel global requests in cancel_all_requests
topology coordinator: store request type for each global command
topology request: make it possible to hold global request types in request_type field
topology coordinator: move alter table global request parameters into topology_request table
topology coordinator: move cleanup global command to report completion through topology_request table
topology coordinator: no need to create updates vector explicitly
topology coordinator: use topology_request_tracking_mutation_builder::done() instead of open code it
topology coordinator: handle error during new_cdc_generation command processing
topology coordinator: remove unneeded semicolon
topology coordinator: fix indentation after the last commit
topology coordinator: move new_cdc_generation topology request to use topology_request table for completion
gms/feature_service: add TOPOLOGY_GLOBAL_REQUEST_QUEUE feature flag
The following was seen:
```
!WARNING | scylla[6057]: [shard 12:strm] seastar_memory - oversized allocation: 212992 bytes. This is non-fatal, but could lead to latency and/or fragmentation issues. Please report: at
[Backtrace #0]
void seastar::backtrace<seastar::current_backtrace_tasklocal()::$_0>(seastar::current_backtrace_tasklocal()::$_0&&, bool) at ./build/release/seastar/./seastar/include/seastar/util/backtrace.hh:89
(inlined by) seastar::current_backtrace_tasklocal() at ./build/release/seastar/./build/release/seastar/./seastar/src/util/backtrace.cc:99
seastar::current_tasktrace() at ./build/release/seastar/./build/release/seastar/./seastar/src/util/backtrace.cc:136
seastar::current_backtrace() at ./build/release/seastar/./build/release/seastar/./seastar/src/util/backtrace.cc:169
seastar::memory::cpu_pages::warn_large_allocation(unsigned long) at ./build/release/seastar/./build/release/seastar/./seastar/src/core/memory.cc:848
seastar::memory::allocate_slowpath(unsigned long) at ./build/release/seastar/./build/release/seastar/./seastar/src/core/memory.cc:911
operator new(unsigned long) at ./build/release/seastar/./build/release/seastar/./seastar/src/core/memory.cc:1706
std::allocator<dht::token_range_endpoints>::allocate(unsigned long) at /usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/allocator.h:196
(inlined by) std::allocator_traits<std::allocator<dht::token_range_endpoints> >::allocate(std::allocator<dht::token_range_endpoints>&, unsigned long) at /usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/alloc_traits.h:515
(inlined by) std::_Vector_base<dht::token_range_endpoints, std::allocator<dht::token_range_endpoints> >::_M_allocate(unsigned long) at /usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/stl_vector.h:380
(inlined by) void std::vector<dht::token_range_endpoints, std::allocator<dht::token_range_endpoints> >::_M_realloc_append<dht::token_range_endpoints const&>(dht::token_range_endpoints const&) at /usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/vector.tcc:596
locator::describe_ring(replica::database const&, gms::gossiper const&, seastar::basic_sstring<char, unsigned int, 15u, true> const&, bool) at /usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/stl_vector.h:1294
std::__n4861::coroutine_handle<seastar::internal::coroutine_traits_base<std::vector<dht::token_range_endpoints, std::allocator<dht::token_range_endpoints> > >::promise_type>::resume() const at /usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/coroutine:242
(inlined by) seastar::internal::coroutine_traits_base<std::vector<dht::token_range_endpoints, std::allocator<dht::token_range_endpoints> > >::promise_type::run_and_dispose() at ././seastar/include/seastar/core/coroutine.hh:80
seastar::reactor::do_run() at ./build/release/seastar/./build/release/seastar/./seastar/src/core/reactor.cc:2635
std::_Function_handler<void (), seastar::smp::configure(seastar::smp_options const&, seastar::reactor_options const&)::$_0>::_M_invoke(std::_Any_data const&) at ./build/release/seastar/./build/release/seastar/./seastar/src/core/reactor.cc:4684
```
Fix by using chunked_vector.
Fixes#24158Closesscylladb/scylladb#24561
This reverts commit 0b516da95b, reversing
changes made to 30199552ac. It breaks
cluster.random_failures.test_random_failures.test_random_failures
in debug mode (at least).
Fixes#24513
We are about to change start() to return a proxy object rather
than a `const interval_bound<T>&`. This is generally transparent,
except in one case: `auto x = i.start()`. With the current implementation,
we'll copy object referred to and assign it to x. With the planned
implementation, the proxy object will be assigned to `x`, but it
will keep referring to `i`.
To prevent such problems, rename start() to start_ref() and end()
to end_ref(). This forces us to audit all calls, and redirect calls
that will break to new start_copy() and end_copy() methods.
Requests, together with their parameters, are added to the
topology_request tables and the queue of active global requests is
kept in topology state. Thy are processed one by one by the topology
state machine.
Fixes: #16822
This change is preparing ground for state update unification for raft bound subsystems. It introduces schema_applier which in the future will become generic interface for applying mutations in raft.
Pulling `database::apply()` out of schema merging code will allow to batch changes to subsystems. Future generic code will first call `prepare()` on all implementations, then single `database::apply()` and then `update()` on all implementations, then on each shard it will call `commit()` for all implementations, without preemption so that the change is observed as atomic across all subsystems, and then `post_commit()`.
Backport: no, it's a new feature
Fixes: https://github.com/scylladb/scylladb/issues/19649Closesscylladb/scylladb#20853
* github.com:scylladb/scylladb:
storage_service: always wake up load balancer on update tablet metadata
db: schema_applier: call destroy also when exception occurs
db: replica: simplify seeding ERM during shema change
db: remove cleanup from add_column_family
db: abort on exception during schema commit phase
db: make user defined types changes atomic
replica: db: make keyspace schema changes atomic
db: atomically apply changes to tables and views
replica: make truncate_table_on_all_shards get whole schema from table_shards
service: split update_tablet_metadata into two phases
service: pull out update_tablet_metadata from migration_listener
db: service: add store_service dependency to schema_applier
service: simplify load_tablet_metadata and update_tablet_metadata
db: don't perform move on tablet_hint reference
replica: split add_column_family_and_make_directory into steps
replica: db: split drop_table into steps
db: don't move map references in merge_tables_and_views()
db: introduce commit_on_shard function
db: access types during schema merge via special storage
replica: make non-preemptive keyspace create/update/delete functions public
replica: split update keyspace into two phases
replica: split creating keyspace into two functions
db: rename create_keyspace_from_schema_partition
db: decouple functions and aggregates schema change notification from merging code
db: store functions and aggregates change batch in schema_applier
db: decouple tables and views schema change notifications from merging code
db: store tables and views schema diff in schema_applier
db: decouple user type schema change notifications from types merging code
service: unify keyspace notification functions arguments
db: replica: decouple keyspace schema change notifications to a separate function
db: add class encapsulating schema merging
topology_request table has a filed to hold a request type, but
currently it can hold only per node requests. This patch makes it
possible to store global request types there as well.
Currently parameters to alter table global topology command are stored
in static column in the topology table, but this way there can be only one
outstanding alter table request. This patch moves the parameters to
the topology_request table where parameters are stored per request.
For reasons, we want to be able to disallow dictionary-aware compressors
in chosen deployments.
This patch adds a knob for that. When the knob is disabled,
dictionary-aware compressors will be rejected in the validation
stage of CREATE and ALTER statements.
Closesscylladb/scylladb#24355
Since we abort now on failure during schema commit
there is no need for cleanup as it only manages in-memory
state.
Explicit cf.stop was added to code paths outside of schema
merging to avoid unnecessary regressions.
The same order of creation/destruction is preserved as in the
original code, looking from single shard point of view.
create_types() is called on each shard separately, while in theory
we should be able reuse results similarly as diff_rows(). But we
don't introduce this optimization yet.
Now all keyspace related schema changes are observable
on given shard as they would be applied atomically.
This is achieved by commit_on_shard() function being
non-preemptive (no futures, no co_awaits).
In the future we'll extend this to the whole schema
and also other subsystems.
In this commit we make use of splitted functions introduced before.
Pattern is as follows:
- in merge_tables_and_views we call some preparatory functions
- in schema_applier::update we call non-yielding step
- in schema_applier::post_commit we call cleanups and other finalizing async
functions
Additionally we introduce frozen_schema_diff because converting
schema_ptr to global_schema_ptr triggers schema registration and
with atomic changes we need to place registration only in commit
phase. Schema freezing is the same method global_schema_ptr uses
to transport schema across shards (via schema_registry cache).
It's not a good usage as there is only one non-empty implementation.
Also we need to change it further in the following commit which
makes it incompatible with listener code.
There is already implicit logical dependency via migration_notifier
but in the next commits we'll be moving store_service out from it
as we need better control (i.e. return a value from the call).
