Replace the physical system.large_partitions, system.large_rows, and
system.large_cells CQL tables with virtual tables that read from
LargeDataRecords stored in SSTable scylla metadata (tag 13).
The transition is gated by a new LARGE_DATA_VIRTUAL_TABLES cluster
feature flag:
- Before the feature is enabled: the old physical tables remain in
all_tables(), CQL writes are active, no virtual tables are registered.
This ensures safe rollback during rolling upgrades.
- After the feature is enabled: old physical tables are dropped from
disk via legacy_drop_table_on_all_shards(), virtual tables are
registered on all shards, and CQL writes are skipped via
skip_cql_writes() in cql_table_large_data_handler.
Key implementation details:
- Three virtual table classes (large_partitions_virtual_table,
large_rows_virtual_table, large_cells_virtual_table) extend
streaming_virtual_table with cross-shard record collection.
- generate_legacy_id() gains a version parameter; virtual tables
use version 1 to get different UUIDs than the old physical tables.
- compaction_time is derived from SSTable generation UUID at display
time via UUID_gen::unix_timestamp().
- Legacy SSTables without LargeDataRecords emit synthetic summary
rows based on above_threshold > 0 in LargeDataStats.
- The activation logic uses two paths: when the feature is already
enabled (test env, restart), it runs as a coroutine; when not yet
enabled, it registers a when_enabled callback that runs inside
seastar::async from feature_service::enable().
- sstable_3_x_test updated to use a simplified large_data_test_handler
and validate LargeDataRecords in SSTable metadata directly.
There are several reasons we want to do that.
One is that it will give us more flexibility in distributing the
load. We can subdivide tablets at any token, and achieve more
evenly-sized tablets. In particular, we can isolate large partitions
into separate tablets.
We can also split and merge incrementally individual tablets.
Currently, we do it for the whole table or nothing, which makes
splits and merges take longer and cause wide swings of the count.
This is not implemented in this PR yet, we still split/merge the whole table.
Another reason is vnode to tablets migration. We now could construct a
tablet map which matches exactly the vnode boundaries, so migration
can happen transparently from CQL-coordinator point of view.
Tablet count is still a power-of-two by default for newly created tables.
It may be different if tablet map is created by non-standard means,
or if per-table tablet option "pow2_count" is set to "false".
build/release/scylla perf-tablets:
Memory footprint for 131k tablets increased from 56 MiB to 58.1 MiB (+3.5%)
Before:
```
Generating tablet metadata
Total tablet count: 131072
Size of tablet_metadata in memory: 57456 KiB
Copied in 0.014346 [ms]
Cleared in 0.002698 [ms]
Saved in 1234.685303 [ms]
Read in 445.577881 [ms]
Read mutations in 299.596313 [ms] 128 mutations
Read required hosts in 247.482742 [ms]
Size of canonical mutations: 33.945053 [MiB]
Disk space used by system.tablets: 1.456761 [MiB]
Tablet metadata reload:
full 407.69ms
partial 2.65ms
```
After:
```
Generating tablet metadata
Total tablet count: 131072
Size of tablet_metadata in memory: 59504 KiB
Copied in 0.032475 [ms]
Cleared in 0.002965 [ms]
Saved in 1093.877441 [ms]
Read in 387.027100 [ms]
Read mutations in 255.752121 [ms] 128 mutations
Read required hosts in 211.202805 [ms]
Size of canonical mutations: 33.954453 [MiB]
Disk space used by system.tablets: 1.450162 [MiB]
Tablet metadata reload:
full 354.50ms
partial 2.19ms
```
Closesscylladb/scylladb#28459
* github.com:scylladb/scylladb:
test: boost: tablets: Add test for merge with arbitrary tablet count
tablets, database: Advertise 'arbitrary' layout in snapshot manifest
tablets: Introduce pow2_count per-table tablet option
tablets: Prepare for non-power-of-two tablet count
tablets: Implement merged tablet_map constructor on top of for_each_sibling_tablets()
tablets: Prepare resize_decision to hold data in decisions
tablets: table: Make storage_group handle arbitrary merge boundaries
tablets: Make stats update post-merge work with arbitrary merge boundaries
locator: tablets: Support arbitrary tablet boundaries
locator: tablets: Introduce tablet_map::get_split_token()
dht: Introduce get_uniform_tokens()
Commit c17c4806a1 removed check_for_endpoint_collision() from
the fresh bootstrap path, which was the only code path that
called do_shadow_round() for new nodes. Since the gossip shadow
round is no longer executed during bootstrap, remove the
stop_during_gossip_shadow_round error injection from the test.
The entry is marked as REMOVED_ rather than deleted to preserve
the shuffle order for seed-based test reproducibility.
The injection point in gms/gossiper.cc is also removed since it
is no longer used by any test.
Fixes: SCYLLADB-1466
Closesscylladb/scylladb#29460
There are several reasons we want to do that.
One is that it will give us more flexibility in distributing the
load. We can subdivide tablets at any points, and achieve more
evenly-sized tablets. In particular, we can isolate large partitions
into separate tablets.
Another reason is vnode-to-tablet migration. We could construct a
tablet map which matches exactly the vnode boundaries, so migration
can happen transparently from the CQL-coordinator's point of view.
Implementation details:
We store a vector of tokens which represent tablet boundaries in the
tablet_id_map. tablet_id keeps its meaning, it's an index into vector
of tablets. To avoid logarithmic lookup of tablet_id from the token,
we introduce a lookup structure with power-of-two aligned buckets, and
store the tablet_id of the tablet which owns the first token in the
bucket. This way, lookup needs to consider tablet id range which
overlaps with one bucket. If boundaries are more or less aligned,
there are around 1-2 tablets overlapping with a bucket, and the lookup
is still O(1).
Amount of memory used increased, but not significantly relative to old
size (because tablet_info is currently fat):
For 131'072 tablets:
Before:
Size of tablet_metadata in memory: 57456 KiB
After:
Size of tablet_metadata in memory: 59504 KiB
In commit 727f68e0f5 we added the ability to SELECT:
* Individual elements of a map: `SELECT map_col[key]`.
* Individual elements of a set: `SELECT set_col[key]` returns key if the key exists in the set, or null if it doesn't, allowing to check if the element exists in the set.
* Individual pieces of a UDT: `SELECT udt_col.field`.
But at the time, we didn't provide any way to retrieve the **meta-data** for this value, namely its timestamp and TTL. We did not support `SELECT TIMESTAMP(collection[key])`, or `SELECT TIMESTAMP(udt.field)`.
Users requested to support such SELECTs in the past (see issue #15427), and Cassandra 5.0 added support for this feature - for both maps and sets and udts - so we also need this feature for compatibility. This feature was also requested recently by vector-search developers, who wanted to read Alternator columns - stored as map elements, not individual columns - with their WRITETIME information.
The first four patches in this series adds the feature (in four smaller patches instead one big one), the fifth and sixth patches add tests (cqlpy and boost tests, respectively). The seventh patch adds documentation.
All the new tests pass on Cassandra 5, failed on Scylla before the present fix, and pass with it.
The fix was surprisingly difficult. Our existing implementation (from 727f68e0f5 building on earlier machinery) doesn't just "read" `map_col[key]` and allow us to return just its timestamp. Rather, the implementation reads the entire map, serializes it in some temporary format that does **not** include the timestamps and ttls, and then takes the subscript key, at which point we no longer have the timestamp or ttl of the element. So the fix had to cross all these layers of the implementation.
While adding support for UDT fields in a pre-existing grammar nonterminal "subscriptExpr", we unintentionally added support for UDT fields also in LWT expressions (which used this nonterminal). LWT missing support for UDT fields was a long-time known compatibility issue (#13624) so we unintentionally fixed it :-) Actually, to completely fix it we needed another small change in the expression implementation, so the eighth patch in this series does this.
Fixes#15427Fixes#13624Closesscylladb/scylladb#29134
* github.com:scylladb/scylladb:
cql3: support UDT fields in LWT expressions
cql3: document WRITETIME() and TTL() for elements of map, set or UDT
test/boost: test WRITETIME() and TTL() on map collection elements
test/cqlpy: test WRITETIME() and TTL() on element of map, set or UDT
cql3: prepare and evaluate WRITETIME/TTL on collection elements and UDT fields
cql3: parse per-element timestamps/TTLs in the selection layer
cql3: add extended wire format for per-element timestamps and TTLs
cql3: extend WRITETIME/TTL grammar to accept collection and UDT elements
Introduce the infrastructure needed to transport per-element timestamps
and TTL expiry times from replicas to coordinators, required for
WRITETIME(col[key]) / TTL(col[key]) and WRITETIME(col.field) /
TTL(col.field).
* Add a 'writetime_ttl_individual_element' cluster feature flag that
guards usage of the new wire format during rolling upgrades: the
extended format is only emitted and consumed when every node in the
cluster supports it.
* Implement serialize_for_cql_with_timestamps() (types/types.cc), a
variant of serialize_for_cql() that appends a per-element section to
the regular CQL bytes, listing each live element's serialized key,
timestamp, and expiry. The format is:
[uint32 cql_len][cql bytes]
[int32 entry_count]
[per entry: (int32 key_len)(key bytes)(int64 timestamp)(int64 expiry)]
expiry is -1 when the element has no TTL.
* Add partition_slice::option::send_collection_timestamps and modify
write_cell() (mutation_partition.cc) to use the new function
serialize_for_cql_with_timestamps() when this option is available.
This commit stands alone with no user-visible effect: nothing yet sets
the new partition-slice option. The next patch adds the selection-layer
code that sets the option and parses the extended response.
Since we do no longer support upgrade from versions that do not support
v2 of "view building status" code (building status is managed by raft) we can remove v1 code and upgrade code and make sure we do not boot with old "builder status" version.
v2 version was introduced by 8d25a4d678 which is included in scylla-2025.1.0.
No backport needed since this is code removal.
Closesscylladb/scylladb#29105
* github.com:scylladb/scylladb:
view: drop unused v1 builder code
view: remove upgrade to raft code
get_live_members function called is_shutdown which inet_address
argument, which caused temporary endpoint_state to be created. Fix
it by prohibiting implicit conversion and calling the correct
is_shutdown function instead.
The decommission sets left gossiper state only to prevent shutdown
notification be issued by the node during shutdown. Since the
notification code now checks the state in raft topology this is no
longer needed.
Vnodes-to-tablets migrations require cluster-level support: the REST API
and the group0 state need to be supported by all nodes.
Signed-off-by: Nikos Dragazis <nikolaos.dragazis@scylladb.com>
Since we do no longer support upgrade from versions that do not support
v2 of view building code we can remove upgrade code and make sure we do
not boot with old builder version.
The function checks that the node's state is not left or removed in
gossiper during restart, but with raft topology a removed node will
not be able to contact the cluster to get this information since it will
be banned.
Also remove test_auth_raft_command_split test which is irrelevant since 5ba7d1b116
because it does not use the function that injects max sized command after the
commit.
3f7ee3ce5d introduced system.batchlog_v2, with a schema designed to speed up batchlog replays and make post-replay cleanups much more effective.
It did not introduce a cluster feature for the new table, because it is node local table, so the cluster can switch to the new table gradually, one node at a time.
However, https://github.com/scylladb/scylladb/issues/27886 showed that the switching causes timeouts during upgrades, in mixed clusters. Furthermore, switching to the new table unconditionally on upgrades nodes, means that on rollback, the batches saved into the v2 table are lost.
This PR introduces re-introduces v1 (`system.batchlog`) support and guards the use of the v2 table with a cluster feature, so mixed clusters keep using v1 and thus be rollback-compatible.
The re-introduced v1 support doesn't support post-replay cleanups for simplicity. The cleanup in v1 was never particularly effective anyway and we ended up disabling it for heavy batchlog users, so I don't think the lack of support for cleanup is a problem.
Fixes: https://github.com/scylladb/scylladb/issues/27886
Needs backport to 2026.1, to fix upgrades for clusters using batches
Closesscylladb/scylladb#28736
* github.com:scylladb/scylladb:
test/boost/batchlog_manager_test: add tests for v1 batchlog
test/boost/batchlog_manager_test: make prepare_batches() work with both v1 and v2
test/boost/batchlog_manager_test: fix indentation
test/boost/batchlog_manager_test: extract prepare_batches() method
test/lib/cql_assertions: is_rows(): add dump parameter
tools/scylla-sstable: extract query result printers
tools/scylla-sstable: add std::ostream& arg to query result printers
repair/row_level: repair_flush_hints_batchlog_handler(): add all_replayed to finish log
db/batchlog_manager: re-add v1 support
db/batchlog_manager: return all_replayed from process_batch()
db/batchlog_manager: process_bath() fix indentation
db/batchlog_manager: make batch() a standalone function
db/batchlog_manager: make structs stats public
db/batchlog_manager: allocate limiter on the stack
db/batchlog_manager: add feature_service dependency
gms/feature_service: add batchlog_v2 feature
The PR removes most of the code that assumes that group0 and raft topology is not enabled. It also makes sure that joining a cluster in no raft mode or upgrading a node in a cluster that not yet uses raft topology to this version will fail.
Refs #15422
No backport needed since this removes functionality.
Closesscylladb/scylladb#28514
* https://github.com/scylladb/scylladb:
group0: fix indentation after previous patch
raft_group0: simplify get_group0_upgrade_state function since no upgrade can happen any more
raft_group0: move service::group0_upgrade_state to use fmt::formatter instead of iostream
raft_group0: remove unused code from raft_group0
node_ops: remove topology over node ops code
topology: fix indentation after the previous patch
topology: drop topology_change_enabled parameter from raft_group0 code
storage_service: remove unused handle_state_* functions
gossiper: drop wait_for_gossip_to_settle and deprecate correspondent option
storage_service: fix indentation after the last patch
storage_service: remove gossiper bootstrapping code
storage_service: drop get_group_server_if_raft_topolgy_enabled
storage_service: drop is_topology_coordinator_enabled and its uses
storage_service: drop run_with_api_lock_in_gossiper_mode_only
topology: remove code that assumes raft_topology_change_enabled() may return false
test: schema_change_test: make test_schema_digest_does_not_change_with_disabled_features tests run in raft mode
test: schema_change_test: drop schema tests relevant for no raft mode only
topology: remove upgrade to raft topology code
group0: remove upgrade to group0 code
group0: refuse to boot if a cluster is still is not in a raft topology mode
storage_service: refuse to join a cluster in legacy mode
This series implements a new per-row TTL feature for CQL. The per-row TTL feature was requested in issue #13000. It is a feature that does not exist in Cassandra, and was inspired by DynamoDB's TTL feature - and under the hood uses the same implementation that we used in Alternator to implement this DynamoDB feature.
The new per-row TTL feature is completely separate from CQL's existing per-write (and per-cell) TTL, and both will be available to users.
In the per-row TTL feature, one column in the table is designated as the "TTL" column, and its value for a row is the expiration time for that row. The TTL column can be designated at table creation time, e.g.:
```cql
CREATE TABLE tab (
id int PRIMARY KEY,
t text,
expiration timestamp TTL
);
```
Or after the table already exists with:
```cql
ALTER TABLE tab TTL expiration
```
Expiration can also be disabled, with:
```cql
ALTER TABLE tab TTL NULL
```
The new per-row TTL feature has two features that users have been asking for:
1. A user can change the value of just the TTL column - without rewriting the entire row - to change the expiration time of the entire row.
2. When an expired row is finally deleted, a CDC event about this deletion appears in the CDC log (if CDC is enabled), including - if a preimage is enabled - the content of the deleted row.
To achieve the second goal (CDC events), a row is not guaranteed to disappear at exactly its expiration time (as CQL's original TTL feature guarantees). Rather, the row is deleted some time later, depending on `alternator_ttl_period_in_seconds`; Until the actual deletion, the row is still readable (and even writable). But we are guaranteed that when the row is finally deleted, the CDC event will come too.
The implementation uses the same background thread used by Alternator to periodically scan for expired items and delete them.
The expiration thread keeps the same metrics as it did for Alternator:
* `scylla_expiration_scan_passes`
* `scylla_expiration_scan_table`
* `scylla_expiration_items_deleted`
* `scylla_expiration_secondary_ranges_scanned`
The series begins with a few small preparation patches, followed by the main part of the feature (which isn't big, since we are just enabling the pre-existing Alternator expiration machinary for CQL) and finally 30 tests (single-node and multi-node tests) and documentation.
This series is a new feature, so traditionally would not be backported. However, I wouldn't be surprised if we will be requested to backport it so that customers will not need to wait for a new major release.
Fixes#13000Closesscylladb/scylladb#28320
* github.com:scylladb/scylladb:
test/cqlpy: verify that a column can't be both STATIC and PRIMARY KEY
docs/cql: document the new CQL per-row TTL feature
test/cluster: tests for the new CQL per-row TTL feature
test/cqlpy: tests for the new CQL per-row TTL feature
test: set low alternator_ttl_period_in_seconds in CQL tests
cql ttl: fix ALTER TABLE to disable TTL if column is dropped
cql ttl: add setting/unsetting of TTL column to ALTER TABLE
cql ttl: add TTL column support to CREATE TABLE and DESC TABLE
ttl: add CQL support to Alternator's TTL expiration service
alternator ttl: move TTL_TAG_KEY to a header file
alternator ttl: remove unnecessary check of feature flag
cql: add "cql_row_ttl" cluster feature
alternator: fix error message if UpdateTimeToLive is not supported
This patch adds a new cluster feature "CQL_ROW_TTL", for the new CQL
per-row TTL feature.
With this patch, this node reports supporting this feature, but the CQL
per-row TTL feature can only be used once all the nodes in the cluster
supports the feature. In other words, user requests to enable per-row TTL
on a table should check this feature flag (on the whole cluster) before
proceeding.
This is needed because the implementation of the per-row-TTL expiration
requires the cooperation of all nodes to participate in scanning for
expired items, so the feature can't be trusted until all nodes participate
in it.
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
When running unit tests, there's a visible ~1-second sleep
when gossip exits the failure detector loop.
Improve this by adding a condition variable for exiting the loop
and signaling it when any of the exit conditions are satisfied:
the abort_source is pulled, the gossiper is shut down, or the sleep
is complete. We can't just use the abort_source because gossip can be
shut down independently of the rest of the system.
To see the improvement, I ran cql_query_test in dev mode:
Before:
$ time ./build/dev/test/boost/combined_tests -t cql_query_test -- --smp 2 > /dev/null 2>&1
real 2m26.904s
user 0m24.307s
sys 0m13.402s
After:
$ time ./build/dev/test/boost/combined_tests -t cql_query_test -- --smp 2 > /dev/null 2>&1
real 0m26.579s
user 0m24.671s
sys 0m13.636s
Two minutes of real-time saved.
Real-life improvement in test.py will be lower, because of the overhead
of launching pytest for each test case.
Closesscylladb/scylladb#28649
The path removes the code protected by !raft_topology_change_enabled()
since it is no longer reachable. Drop test_lwt_for_tablets_is_not_supported_without_raft
since not raft mode is no longer supported.
The hostent::addr_list is deprecated in favor of address_entry::addr
field that contains the very same addresses.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Closesscylladb/scylladb#28566
This is the continuation of #28363 , this time about getting gossiper scheduling group via database.
Several places that do it already have gossiper at hand and should better get the group from it.
Eventually, this will allow to get rid of database::get_gossip_scheduling_group().
Refining inter-components API, not backporting
Closesscylladb/scylladb#28412
* github.com:scylladb/scylladb:
gossiper: Export its scheduling group for those who need it
migration_manager: Reorder members
1. fmt::localtime is deprecated.
2. We should really print times in UTC, especially on the cloud.
3. The current log message does not print the timezone so it'd unclear
to anyone reading the lof message if the expiration time is in the
local timezone or in GMT/UTC.
Fixes the following warning:
```
gms/gossiper.cc:2428:28: warning: 'localtime' is deprecated [-Wdeprecated-declarations]
2428 | endpoint, fmt::localtime(clk::to_time_t(expire_time)), expire_time.time_since_epoch().count(),
| ^
/usr/include/fmt/chrono.h:538:1: note: 'localtime' has been explicitly marked deprecated here
538 | FMT_DEPRECATED inline auto localtime(std::time_t time) -> std::tm {
| ^
/usr/include/fmt/base.h:207:28: note: expanded from macro 'FMT_DEPRECATED'
207 | # define FMT_DEPRECATED [[deprecated]]
| ^
```
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
Closesscylladb/scylladb#28434
There are several places in the code that need to explicitly switch into
gossiper scheduling group. For that they currently call database to
provide the group, but it's better to get gossiper sched group from
gossiper itself, all the more so all those places have gossiper at hand.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Yet another barrier-failure scenario exists in the `write_both_read_new`
state. When the barrier fails, the tablet is expected to transition
to `cleanup_target`, but because barrier execution is asynchronous,
the cleanup transition can be skipped entirely and the tablet may
continue forward instead.
Both `write_both_read_new` and `cleanup_target` modify read and write
selectors. In this situation, a barrier is required, and transitioning
directly between these states without one is unsafe.
Introduce an intermediate `write_both_read_old_fallback_cleanup`
state that modifies only a read selector and can be entered without
a barrier (there is no need to wait for all nodes to start using the
"new" read selector). From there, the tablet can proceed to `cleanup_target`,
where the required barriers are enforced.
This also avoids changing both selectors in a single step. A direct
transition from `write_both_read_new` to `cleanup_target` updates
both selectors at once, which can leave coordinators using the old
selector for writes and the new selector for reads, causing reads to
miss preceding writes.
By routing through the fallback state, selectors are updated in
order—read first, then write—preserving read-after-write correctness.
Allows other topology operations to execute while tablets are being
drained on decommission. In particular, bootstrap on scale-out. This
is important for elasticity.
Allows multiple decommission/removenode to happen in parallel, which
is important for efficiency.
Flow of decommission/removenode request:
1) pending and paused, has tablet replicas on target node.
Tablet scheduler will start draining tablets.
2) No tablets on target node, request is pending but not paused
3) Request is scheduled, node is in transition
4) Request is done
Nodes are considered draining as soon as there is a leave or remove
request on them. If there are tablet replicas present on the target
node, the request is in a paused state and will not be picked by
topology coordinator. The paused state is computed from topology state
automatically on reload.
When request is not paused, its execution starts in
write_both_read_old state. The old tablet_draining state is not
entered (it's deprecated now).
Tablet load balancing will yield the state machine as soon as some
request is no longer paused and ready to be scheduled, based on
standard preemption mechanics.
Fixes#21452Closesscylladb/scylladb#24129
* https://github.com/scylladb/scylladb:
docs: Document parallel decommission and removenode and relevant task API
test: Add tests for parallel decommission/removenode
test: util: Introduce ensure_group0_leader_on()
test: tablets: Check that there are no migrations scheduled on draining nodes
test: lib: topology_builder: Introduce add_draining_request()
topology_coordinator, tablets: Fail draining operations when tablet migration fails due to critical disk utilization
tablets: topology_coordinator: Refactor to propagate reason for migration rollback
tablet_allocator: Skip co-location on draining nodes
node_ops: task_manager_module: Populate entity field also for active requests
tasks: node_ops: Put node id in the entity field
tasks, node_ops: Unify setting of task_stats in get_status() and get_stats()
topology: Protect against empty cancelation reason
tasks, topology: Make pending node operations abortable
doc: topology-over-raft.md: Fix diagram for replacing, tablet_draining is not engaged
raft_topology, tablets: Drain tablets in parallel with other topology operations
virtual_tables: Show draining and excluded fields in system.cluster_status and system.load_by_node
locator: topology: Add "draining" flag to a node
topology_coordinator: Extract generate_cancel_request_update()
storage_service: Drop dependency in topology_state_machine.hh in the header
locator: Extract common code in assert_rf_rack_valid_keyspace()
topology_coordinator, storage_service: Validate node removal/decommission at request submission time
Allows other topology operations to execute while tablets are being
drained on decommission. In particular, bootstrap on scale-out. This
is important for elasticity.
Allows multiple decommission/removenode to happen in parallel, which
is important for efficiency.
Flow of decommission/removenode request:
1) pending and paused, has tablet replicas on target node.
Tablet scheduler will start draining tablets.
2) No tablets on target node, request is pending but not paused
3) Request is scheduled, node is in transition
4) Request is done
Nodes are considered draining as soon as there is a leave or remove
request on them. If there are tablet replicas present on the target
node, the request is in a paused state and will not be picked by
topology coordinator. The paused state is computed from topology state
automatically on reload.
When request is not paused, its execution starts in
write_both_read_old state. The old tablet_draining state is not
entered (it's deprecated now).
Tablet load balancing will yield the state machine as soon as some
request is no longer paused and ready to be scheduled, based on
standard preemption mechanics.
The test case test_explicit_tablet_movement_during_decommission is
removed. It verifies that tablet move API works during tablet draining
transition. After this PR, we no longer enter this transition, so the
test doesn't work. It loses its purpose, because movement during
normal tablet balancing is not special and tested elsewhere.
Refs #27429
If running with broadcast_address != listen/cql/rpc address, topology
gets confused about the varying addresses. Need to special case
resolve both addresses as "self". I.e. extend broadcast_address
treatment to cql_address as well.
Added export of this via gossiper for symmetry.
