NodeId is used in all internal token_metadata data structures, that
previously used inet_address. We choose topology::key_kind based
on the value of the template parameter.
generic_token_metadata::update_topology overload with host_id
parameter is added to make update_topology_change_info work,
it now uses NodeId as a parameter type.
topology::remove_endpoint(host_id) is added to make
generic_token_metadata::remove_endpoint(NodeId) work.
pending_endpoints_for and endpoints_for_reading are just removed - they
are not used and not implemented. The declarations were left by mistake
from a refactoring in which these methods were moved to erm.
generic_token_metadata_base is extracted to contain declarations, common
to both token_metadata versions.
Templates are explicitly instantiated inside token_metadata.cc, since
implementation part is also a template and it's not exposed to the header.
There are no other behavioral changes in this commit, just syntax
fixes to make token_metadata a template.
Tablet streaming involves asynchronous RPCs to other replicas which transfer writes. We want side-effects from streaming only within the migration stage in which the streaming was started. This is currently not guaranteed on failure. When streaming master fails (e.g. due to RPC failing), it can be that some streaming work is still alive somewhere (e.g. RPC on wire) and will have side-effects at some point later.
This PR implements tracking of all operations involved in streaming which may have side-effects, which allows the topology change coordinator to fence them and wait for them to complete if they were already admitted.
The tracking and fencing is implemented by using global "sessions", created for streaming of a single tablet. Session is globally identified by UUID. The identifier is assigned by the topology change coordinator, and stored in system.tablets. Sessions are created and closed based on group0 state (tablet metadata) by the barrier command sent to each replica, which we already do on transitions between stages. Also, each barrier waits for sessions which have been closed to be drained.
The barrier is blocked only if there is some session with work which was left behind by unsuccessful streaming. In which case it should not be blocked for long, because streaming process checks often if the guard was left behind and stops if it was.
This mechanism of tracking is fault-tolerant: session id is stored in group0, so coordinator can make progress on failover. The barriers guarantee that session exists on all replicas, and that it will be closed on all replicas.
Closesscylladb/scylladb#15847
* github.com:scylladb/scylladb:
test: tablets: Add test for failed streaming being fenced away
error_injection: Introduce poll_for_message()
error_injection: Make is_enabled() public
api: Add API to kill connection to a particular host
range_streamer: Do not block topology change barriers around streaming
range_streamer, tablets: Do not keep token metadata around streaming
tablets: Fail gracefully when migrating tablet has no pending replica
storage_service, api: Add API to disable tablet balancing
storage_service, api: Add API to migrate a tablet
storage_service, raft topology: Run streaming under session topology guard
storage_service, tablets: Use session to guard tablet streaming
tablets: Add per-tablet session id field to tablet metadata
service: range_streamer: Propagate topology_guard to receivers
streaming: Always close the rpc::sink
storage_service: Introduce concept of a topology_guard
storage_service: Introduce session concept
tablets: Fix topology_metadata_guard holding on to the old erm
docs: Document the topology_guard mechanism
Load balancing needs to be disabled before making a series of manual
migrations so that we don't fight with the load balancer.
Also will be used in tests to ensure tablets stick to expected locations.
run_on_existing_tables() is not used at all. and we have two of them.
in this change, let's drop them.
Signed-off-by: Kefu Chai <kefu.chai@scylladb.com>
Closesscylladb/scylladb#16304
Fixes some more typos as found by codespell run on the code. In this commit, there are more user-visible errors.
Refs: https://github.com/scylladb/scylladb/issues/16255Closesscylladb/scylladb#16289
* github.com:scylladb/scylladb:
Update unified/build_unified.sh
Update main.cc
Update dist/common/scripts/scylla-housekeeping
Typos: fix typos in code
Currently, the max size of commitlog is obtained either from the
config parameter commitlog_total_space_in_mb or, when the parameter
is -1, from the total memory allocated for Scylla.
To facilitate testing of the behavior of commitlog hard limit,
expose the value of commitlog max_disk_size in a dedicated API.
Closesscylladb/scylladb#16020
Fixes some typos as found by codespell run on the code.
In this commit, I was hoping to fix only comments, not user-visible alerts, output, etc.
Follow-up commits will take care of them.
Refs: https://github.com/scylladb/scylladb/issues/16255
Signed-off-by: Yaniv Kaul <yaniv.kaul@scylladb.com>
For major compacting all tables in the database.
The advantage of this api is that `commitlog->force_new_active_segment`
happens only once in `database::flush_all_tables` rather than
once per keyspace (when `nodetool compact` translates to
a sequence of `/storage_service/keyspace_compaction` calls).
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
For flushing all tables in the database.
The advantage of this api is that `commitlog->force_new_active_segment`
happens only once in `database::flush_all_tables` rather than
once per keyspace (when `nodetool flush` translates to
a sequence of `/storage_service/keyspace_flush` calls).
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
When flushing is done externally, e.g. by running
`nodetool flush` prior to `nodetool compact`,
flush_memtables=false can be passed to skip flushing
of tables right before they are major-compacted.
This is useful to prevent creation of small sstables
due to excessive memtable flushing.
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
repair: Introduce small table optimization
*) Problem:
We have seen in the field it takes longer than expected to repair system tables
like system_auth which has a tiny amount of data but is replicated to all nodes
in the cluster. The cluster has multiple DCs. Each DC has multiple nodes. The
main reason for the slowness is that even if the amount of data is small,
repair has to walk though all the token ranges, that is num_tokens *
number_of_nodes_in_the_cluster. The overhead of the repair protocol for each
token range dominates due to the small amount of data per token range. Another
reason is the high network latency between DCs makes the RPC calls used to
repair consume more time.
*) Solution:
To solve this problem, a small table optimization for repair is introduced in
this patch. A new repair option is added to turn on this optimization.
- No token range to repair is needed by the user. It will repair all token
ranges automatically.
- Users only need to send the repair rest api to one of the nodes in the
cluster. It can be any of the nodes in the cluster.
- It does not require the RF to be configured to replicate to all nodes in the
cluster. This means it can work with any tables as long as the amount of data
is low, e.g., less than 100MiB per node.
*) Performance:
1)
3 DCs, each DC has 2 nodes, 6 nodes in the cluster. RF = {dc1: 2, dc2: 2, dc3: 2}
Before:
```
repair - repair[744cd573-2621-45e4-9b27-00634963d0bd]: stats:
repair_reason=repair, keyspace=system_auth, tables={roles, role_attributes,
role_members}, ranges_nr=1537, round_nr=4612,
round_nr_fast_path_already_synced=4611,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=1,
rpc_call_nr=115289, tx_hashes_nr=0, rx_hashes_nr=5, duration=1.5648403 seconds,
tx_row_nr=2, rx_row_nr=0, tx_row_bytes=356, rx_row_bytes=0,
row_from_disk_bytes={{127.0.14.1, 178}, {127.0.14.2, 178}, {127.0.14.3, 0},
{127.0.14.4, 0}, {127.0.14.5, 178}, {127.0.14.6, 178}},
row_from_disk_nr={{127.0.14.1, 1}, {127.0.14.2, 1}, {127.0.14.3, 0},
{127.0.14.4, 0}, {127.0.14.5, 1}, {127.0.14.6, 1}},
row_from_disk_bytes_per_sec={{127.0.14.1, 0.00010848}, {127.0.14.2,
0.00010848}, {127.0.14.3, 0}, {127.0.14.4, 0}, {127.0.14.5, 0.00010848},
{127.0.14.6, 0.00010848}} MiB/s, row_from_disk_rows_per_sec={{127.0.14.1,
0.639043}, {127.0.14.2, 0.639043}, {127.0.14.3, 0}, {127.0.14.4, 0},
{127.0.14.5, 0.639043}, {127.0.14.6, 0.639043}} Rows/s,
tx_row_nr_peer={{127.0.14.3, 1}, {127.0.14.4, 1}}, rx_row_nr_peer={}
```
After:
```
repair - repair[d6e544ba-cb68-4465-ab91-6980bcbb46a9]: stats:
repair_reason=repair, keyspace=system_auth, tables={roles, role_attributes,
role_members}, ranges_nr=1, round_nr=4, round_nr_fast_path_already_synced=4,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=0,
rpc_call_nr=80, tx_hashes_nr=0, rx_hashes_nr=0, duration=0.001459798 seconds,
tx_row_nr=0, rx_row_nr=0, tx_row_bytes=0, rx_row_bytes=0,
row_from_disk_bytes={{127.0.14.1, 178}, {127.0.14.2, 178}, {127.0.14.3, 178},
{127.0.14.4, 178}, {127.0.14.5, 178}, {127.0.14.6, 178}},
row_from_disk_nr={{127.0.14.1, 1}, {127.0.14.2, 1}, {127.0.14.3, 1},
{127.0.14.4, 1}, {127.0.14.5, 1}, {127.0.14.6, 1}},
row_from_disk_bytes_per_sec={{127.0.14.1, 0.116286}, {127.0.14.2, 0.116286},
{127.0.14.3, 0.116286}, {127.0.14.4, 0.116286}, {127.0.14.5, 0.116286},
{127.0.14.6, 0.116286}} MiB/s, row_from_disk_rows_per_sec={{127.0.14.1,
685.026}, {127.0.14.2, 685.026}, {127.0.14.3, 685.026}, {127.0.14.4, 685.026},
{127.0.14.5, 685.026}, {127.0.14.6, 685.026}} Rows/s, tx_row_nr_peer={},
rx_row_nr_peer={}
```
The time to finish repair difference = 1.5648403 seconds / 0.001459798 seconds = 1072X
2)
3 DCs, each DC has 2 nodes, 6 nodes in the cluster. RF = {dc1: 2, dc2: 2, dc3: 2}
Same test as above except 5ms delay is added to simulate multiple dc
network latency:
The time to repair is reduced from 333s to 0.2s.
333.26758 s / 0.22625381s = 1472.98
3)
3 DCs, each DC has 3 nodes, 9 nodes in the cluster. RF = {dc1: 3, dc2: 3, dc3: 3}
, 10 ms network latency
Before:
```
repair - repair[86124a4a-fd26-42ea-a078-437ca9e372df]: stats:
repair_reason=repair, keyspace=system_auth, tables={role_attributes,
role_members, roles}, ranges_nr=2305, round_nr=6916,
round_nr_fast_path_already_synced=6915,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=1,
rpc_call_nr=276630, tx_hashes_nr=0, rx_hashes_nr=8, duration=986.34015
seconds, tx_row_nr=7, rx_row_nr=0, tx_row_bytes=1246, rx_row_bytes=0,
row_from_disk_bytes={{127.0.57.1, 178}, {127.0.57.2, 178}, {127.0.57.3,
0}, {127.0.57.4, 0}, {127.0.57.5, 0}, {127.0.57.6, 0}, {127.0.57.7, 0},
{127.0.57.8, 0}, {127.0.57.9, 0}}, row_from_disk_nr={{127.0.57.1, 1},
{127.0.57.2, 1}, {127.0.57.3, 0}, {127.0.57.4, 0}, {127.0.57.5, 0},
{127.0.57.6, 0}, {127.0.57.7, 0}, {127.0.57.8, 0}, {127.0.57.9, 0}},
row_from_disk_bytes_per_sec={{127.0.57.1, 1.72105e-07}, {127.0.57.2,
1.72105e-07}, {127.0.57.3, 0}, {127.0.57.4, 0}, {127.0.57.5, 0},
{127.0.57.6, 0}, {127.0.57.7, 0}, {127.0.57.8, 0}, {127.0.57.9, 0}}
MiB/s, row_from_disk_rows_per_sec={{127.0.57.1, 0.00101385},
{127.0.57.2, 0.00101385}, {127.0.57.3, 0}, {127.0.57.4, 0},
{127.0.57.5, 0}, {127.0.57.6, 0}, {127.0.57.7, 0}, {127.0.57.8, 0},
{127.0.57.9, 0}} Rows/s, tx_row_nr_peer={{127.0.57.3, 1},
{127.0.57.4, 1}, {127.0.57.5, 1}, {127.0.57.6, 1}, {127.0.57.7, 1},
{127.0.57.8, 1}, {127.0.57.9, 1}}, rx_row_nr_peer={}
```
After:
```
repair - repair[07ebd571-63cb-4ef6-9465-6e5f1e98f04f]: stats:
repair_reason=repair, keyspace=system_auth, tables={role_attributes,
role_members, roles}, ranges_nr=1, round_nr=4,
round_nr_fast_path_already_synced=4,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=0,
rpc_call_nr=128, tx_hashes_nr=0, rx_hashes_nr=0, duration=1.6052915
seconds, tx_row_nr=0, rx_row_nr=0, tx_row_bytes=0, rx_row_bytes=0,
row_from_disk_bytes={{127.0.57.1, 178}, {127.0.57.2, 178}, {127.0.57.3,
178}, {127.0.57.4, 178}, {127.0.57.5, 178}, {127.0.57.6, 178},
{127.0.57.7, 178}, {127.0.57.8, 178}, {127.0.57.9, 178}},
row_from_disk_nr={{127.0.57.1, 1}, {127.0.57.2, 1}, {127.0.57.3, 1},
{127.0.57.4, 1}, {127.0.57.5, 1}, {127.0.57.6, 1}, {127.0.57.7, 1},
{127.0.57.8, 1}, {127.0.57.9, 1}},
row_from_disk_bytes_per_sec={{127.0.57.1, 0.00037793}, {127.0.57.2,
0.00037793}, {127.0.57.3, 0.00037793}, {127.0.57.4, 0.00037793},
{127.0.57.5, 0.00037793}, {127.0.57.6, 0.00037793}, {127.0.57.7,
0.00037793}, {127.0.57.8, 0.00037793}, {127.0.57.9, 0.00037793}}
MiB/s, row_from_disk_rows_per_sec={{127.0.57.1, 2.22634},
{127.0.57.2, 2.22634}, {127.0.57.3, 2.22634}, {127.0.57.4,
2.22634}, {127.0.57.5, 2.22634}, {127.0.57.6, 2.22634},
{127.0.57.7, 2.22634}, {127.0.57.8, 2.22634}, {127.0.57.9,
2.22634}} Rows/s, tx_row_nr_peer={}, rx_row_nr_peer={}
```
The time to repair is reduced from 986s (16 minutes) to 1.6s
*) Summary
So, a more than 1000X difference is observed for this common usage of
system table repair procedure.
Fixes#16011
Refs #15159Closesscylladb/scylladb#15974
* github.com:scylladb/scylladb:
repair: Introduce small table optimization
repair: Convert put_row_diff_with_rpc_stream to use coroutine
*) Problem:
We have seen in the field it takes longer than expected to repair system tables
like system_auth which has a tiny amount of data but is replicated to all nodes
in the cluster. The cluster has multiple DCs. Each DC has multiple nodes. The
main reason for the slowness is that even if the amount of data is small,
repair has to walk though all the token ranges, that is num_tokens *
number_of_nodes_in_the_cluster. The overhead of the repair protocol for each
token range dominates due to the small amount of data per token range. Another
reason is the high network latency between DCs makes the RPC calls used to
repair consume more time.
*) Solution:
To solve this problem, a small table optimization for repair is introduced in
this patch. A new repair option is added to turn on this optimization.
- No token range to repair is needed by the user. It will repair all token
ranges automatically.
- Users only need to send the repair rest api to one of the nodes in the
cluster. It can be any of the nodes in the cluster.
- It does not require the RF to be configured to replicate to all nodes in the
cluster. This means it can work with any tables as long as the amount of data
is low, e.g., less than 100MiB per node.
*) Performance:
1)
3 DCs, each DC has 2 nodes, 6 nodes in the cluster. RF = {dc1: 2, dc2: 2, dc3: 2}
Before:
```
repair - repair[744cd573-2621-45e4-9b27-00634963d0bd]: stats:
repair_reason=repair, keyspace=system_auth, tables={roles, role_attributes,
role_members}, ranges_nr=1537, round_nr=4612,
round_nr_fast_path_already_synced=4611,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=1,
rpc_call_nr=115289, tx_hashes_nr=0, rx_hashes_nr=5, duration=1.5648403 seconds,
tx_row_nr=2, rx_row_nr=0, tx_row_bytes=356, rx_row_bytes=0,
row_from_disk_bytes={{127.0.14.1, 178}, {127.0.14.2, 178}, {127.0.14.3, 0},
{127.0.14.4, 0}, {127.0.14.5, 178}, {127.0.14.6, 178}},
row_from_disk_nr={{127.0.14.1, 1}, {127.0.14.2, 1}, {127.0.14.3, 0},
{127.0.14.4, 0}, {127.0.14.5, 1}, {127.0.14.6, 1}},
row_from_disk_bytes_per_sec={{127.0.14.1, 0.00010848}, {127.0.14.2,
0.00010848}, {127.0.14.3, 0}, {127.0.14.4, 0}, {127.0.14.5, 0.00010848},
{127.0.14.6, 0.00010848}} MiB/s, row_from_disk_rows_per_sec={{127.0.14.1,
0.639043}, {127.0.14.2, 0.639043}, {127.0.14.3, 0}, {127.0.14.4, 0},
{127.0.14.5, 0.639043}, {127.0.14.6, 0.639043}} Rows/s,
tx_row_nr_peer={{127.0.14.3, 1}, {127.0.14.4, 1}}, rx_row_nr_peer={}
```
After:
```
repair - repair[d6e544ba-cb68-4465-ab91-6980bcbb46a9]: stats:
repair_reason=repair, keyspace=system_auth, tables={roles, role_attributes,
role_members}, ranges_nr=1, round_nr=4, round_nr_fast_path_already_synced=4,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=0,
rpc_call_nr=80, tx_hashes_nr=0, rx_hashes_nr=0, duration=0.001459798 seconds,
tx_row_nr=0, rx_row_nr=0, tx_row_bytes=0, rx_row_bytes=0,
row_from_disk_bytes={{127.0.14.1, 178}, {127.0.14.2, 178}, {127.0.14.3, 178},
{127.0.14.4, 178}, {127.0.14.5, 178}, {127.0.14.6, 178}},
row_from_disk_nr={{127.0.14.1, 1}, {127.0.14.2, 1}, {127.0.14.3, 1},
{127.0.14.4, 1}, {127.0.14.5, 1}, {127.0.14.6, 1}},
row_from_disk_bytes_per_sec={{127.0.14.1, 0.116286}, {127.0.14.2, 0.116286},
{127.0.14.3, 0.116286}, {127.0.14.4, 0.116286}, {127.0.14.5, 0.116286},
{127.0.14.6, 0.116286}} MiB/s, row_from_disk_rows_per_sec={{127.0.14.1,
685.026}, {127.0.14.2, 685.026}, {127.0.14.3, 685.026}, {127.0.14.4, 685.026},
{127.0.14.5, 685.026}, {127.0.14.6, 685.026}} Rows/s, tx_row_nr_peer={},
rx_row_nr_peer={}
```
The time to finish repair difference = 1.5648403 seconds / 0.001459798 seconds = 1072X
2)
3 DCs, each DC has 2 nodes, 6 nodes in the cluster. RF = {dc1: 2, dc2: 2, dc3: 2}
Same test as above except 5ms delay is added to simulate multiple dc
network latency:
The time to repair is reduced from 333s to 0.2s.
333.26758 s / 0.22625381s = 1472.98
3)
3 DCs, each DC has 3 nodes, 9 nodes in the cluster. RF = {dc1: 3, dc2: 3, dc3: 3}
, 10 ms network latency
Before:
```
repair - repair[86124a4a-fd26-42ea-a078-437ca9e372df]: stats:
repair_reason=repair, keyspace=system_auth, tables={role_attributes,
role_members, roles}, ranges_nr=2305, round_nr=6916,
round_nr_fast_path_already_synced=6915,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=1,
rpc_call_nr=276630, tx_hashes_nr=0, rx_hashes_nr=8, duration=986.34015
seconds, tx_row_nr=7, rx_row_nr=0, tx_row_bytes=1246, rx_row_bytes=0,
row_from_disk_bytes={{127.0.57.1, 178}, {127.0.57.2, 178}, {127.0.57.3,
0}, {127.0.57.4, 0}, {127.0.57.5, 0}, {127.0.57.6, 0}, {127.0.57.7, 0},
{127.0.57.8, 0}, {127.0.57.9, 0}}, row_from_disk_nr={{127.0.57.1, 1},
{127.0.57.2, 1}, {127.0.57.3, 0}, {127.0.57.4, 0}, {127.0.57.5, 0},
{127.0.57.6, 0}, {127.0.57.7, 0}, {127.0.57.8, 0}, {127.0.57.9, 0}},
row_from_disk_bytes_per_sec={{127.0.57.1, 1.72105e-07}, {127.0.57.2,
1.72105e-07}, {127.0.57.3, 0}, {127.0.57.4, 0}, {127.0.57.5, 0},
{127.0.57.6, 0}, {127.0.57.7, 0}, {127.0.57.8, 0}, {127.0.57.9, 0}}
MiB/s, row_from_disk_rows_per_sec={{127.0.57.1, 0.00101385},
{127.0.57.2, 0.00101385}, {127.0.57.3, 0}, {127.0.57.4, 0},
{127.0.57.5, 0}, {127.0.57.6, 0}, {127.0.57.7, 0}, {127.0.57.8, 0},
{127.0.57.9, 0}} Rows/s, tx_row_nr_peer={{127.0.57.3, 1},
{127.0.57.4, 1}, {127.0.57.5, 1}, {127.0.57.6, 1}, {127.0.57.7, 1},
{127.0.57.8, 1}, {127.0.57.9, 1}}, rx_row_nr_peer={}
```
After:
```
repair - repair[07ebd571-63cb-4ef6-9465-6e5f1e98f04f]: stats:
repair_reason=repair, keyspace=system_auth, tables={role_attributes,
role_members, roles}, ranges_nr=1, round_nr=4,
round_nr_fast_path_already_synced=4,
round_nr_fast_path_same_combined_hashes=0, round_nr_slow_path=0,
rpc_call_nr=128, tx_hashes_nr=0, rx_hashes_nr=0, duration=1.6052915
seconds, tx_row_nr=0, rx_row_nr=0, tx_row_bytes=0, rx_row_bytes=0,
row_from_disk_bytes={{127.0.57.1, 178}, {127.0.57.2, 178}, {127.0.57.3,
178}, {127.0.57.4, 178}, {127.0.57.5, 178}, {127.0.57.6, 178},
{127.0.57.7, 178}, {127.0.57.8, 178}, {127.0.57.9, 178}},
row_from_disk_nr={{127.0.57.1, 1}, {127.0.57.2, 1}, {127.0.57.3, 1},
{127.0.57.4, 1}, {127.0.57.5, 1}, {127.0.57.6, 1}, {127.0.57.7, 1},
{127.0.57.8, 1}, {127.0.57.9, 1}},
row_from_disk_bytes_per_sec={{127.0.57.1, 0.00037793}, {127.0.57.2,
0.00037793}, {127.0.57.3, 0.00037793}, {127.0.57.4, 0.00037793},
{127.0.57.5, 0.00037793}, {127.0.57.6, 0.00037793}, {127.0.57.7,
0.00037793}, {127.0.57.8, 0.00037793}, {127.0.57.9, 0.00037793}}
MiB/s, row_from_disk_rows_per_sec={{127.0.57.1, 2.22634},
{127.0.57.2, 2.22634}, {127.0.57.3, 2.22634}, {127.0.57.4,
2.22634}, {127.0.57.5, 2.22634}, {127.0.57.6, 2.22634},
{127.0.57.7, 2.22634}, {127.0.57.8, 2.22634}, {127.0.57.9,
2.22634}} Rows/s, tx_row_nr_peer={}, rx_row_nr_peer={}
```
The time to repair is reduced from 986s (16 minutes) to 1.6s
*) Summary
So, a more than 1000X difference is observed for this common usage of
system table repair procedure.
Fixes#16011
Refs #15159
Currently, it is started/stopped in the streaming/maintenance sg, which
is what the API itself runs in.
Starting the native transport in the streaming sg, will lead to severely
degraded performance, as the streaming sg has significantly less
CPU/disk shares and reader concurrency semaphore resources.
Furthermore, it will lead to multi-paged reads possibly switching
between scheduling groups mid-way, triggering an internal error.
To fix, use `with_scheduling_group()` for both starting and stopping
native transport. Technically, it is only strictly necessary for
starting, but I added it for stop as well for consistency.
Also apply the same treatment to RPC (Thrift). Although no one uses it,
best to fix it, just to be on the safe side.
I think we need a more systematic approach for solving this once and for
all, like passing the scheduling group to the protocol server and have
it switch to it internally. This allows the server to always run on the
correct scheduling group, not depending on the caller to remember using
it. However, I think this is best done in a follow-up, to keep this
critical patch small and easily backportable.
Fixes: #15485Closesscylladb/scylladb#16019
to have feature parity with `configure.py`. we won't need this
once we migrate to C++20 modules. but before that day comes, we
need to stick with C++ headers.
we generate a rule for each .hh files to create a corresponding
.cc and then compile it, in order to verify the self-containness of
that header. so the number of rule is quite large, to avoid the
unnecessary overhead. the check-header target is enabled only if
`Scylla_CHECK_HEADERS` option is enabled.
Signed-off-by: Kefu Chai <kefu.chai@scylladb.com>
Closesscylladb/scylladb#15913
These APIs may return stale or simply incorrect data on shards
other than 0. Newer versions of Scylla are better at maintaining
cross-shard consistency, but we need a simple fix that can be easily and
without risk be backported to older versions; this is the fix.
Fixes: scylladb/scylladb#15816
Snitch is now a service can speaks for the local node only. In order to
get dc/rack for peers in the cluster one need to use topology which, in
turn, lives on token metadata. This patch moves the dc/rack getters to
api/token_metadata.cc next to other t.m. related endpoints.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
There are few of them that don't need the storage service for anything
but get token metadata from. Move them to own .cc/.hh units.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Now the task manager's API (and test API) use the argument and this
explicit dependency is no longer required
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Now hints endpoints use ctx.sp reference, but it has the direct proxy
reference at hand and should prefer it
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
API handlers should try to avoid using any service other than the "main"
one. For hints API this service is going to be proxy, so no gossiper
access in the handler itself.
(indentation is left broken)
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
And stop using proxy reference from http context. After a while the
proxy dependency will be removed from http context
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
There are some helpers in storage_proxy.cc that get proxy reference from
passed http context argument. Next patch will stop using ctx for that
purpose, so prepare in advance by making the helpers use proxy reference
argument directly
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The goals is to make handlers use proxy argument instead of keeping
proxt as dependency on http context (other handlers are mostly such
already)
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The code setting up storage_proxy/ endpoints no longer needs
storage_service and related decoration
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The storage_proxy/get_schema_version is served by storage_service, so it
should be in storage_service.cc instead
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Some tests may want to modify system.topology table directly. Add a REST
API to reload the state into memory. An alternative would be restarting
the server, but that's slower and may have other side effects undesired
in the test.
The API can also be called outside tests, it should not have any
observable effects unless the user modifies `system.topology` table
directly (which they should never do, outside perhaps some disaster
recovery scenarios).
Currently the storage-service API handlers are set up in "random" place.
It can happen earlier -- as soon as the storage service itself is ready.
Also, despite storage service is stopped on shutdown, API handlers
continue reference it leading to potential use-after-frees or "local is
not initialized" assertions.
Fix both. Unsetting is pretty bulky, scylladb/seastar#1620 is to help.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Some handlers in set_storage_service() have implicit dependency on
gossiper. It's not API that should track it, but storage service itself,
so get the gossiper from service, not from the external argument (it
will be removed soon)
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The API handlers that live in set_storage_service() should be
self-contained and operate on storage-service only. Said that, they
should get the token metadata, when needed, from storage service, not
from somewhere else.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
