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ScyllaDB was originally designed, following Apache Cassandra, to use gossip for topology and schema updates and the Paxos consensus algorithm for strong data consistency (LWT). To achieve stronger consistency without performance penalty, ScyllaDB has turned to Raft - a consensus algorithm designed as an alternative to both gossip and Paxos.
Raft is a consensus algorithm that implements a distributed, consistent, replicated log across members (nodes). Raft implements consensus by first electing a distinguished leader, then giving the leader complete responsibility for managing the replicated log. The leader accepts log entries from clients, replicates them on other servers, and tells servers when it is safe to apply log entries to their state machines.
Raft uses a heartbeat mechanism to trigger a leader election. All servers start as followers and remain in the follower state as long as they receive valid RPCs (heartbeat) from a leader or candidate. A leader sends periodic heartbeats to all followers to maintain his authority (leadership). Suppose a follower receives no communication over a period called the election timeout. In that case, it assumes no viable leader and begins an election to choose a new leader.
Leader selection is described in detail in the Raft paper.
ScyllaDB uses Raft to:
Manage schema updates in every node. Any schema update, like ALTER, CREATE or DROP TABLE, is first committed as an entry in the replicated Raft log, and, once stored on most replicas, applied to all nodes in the same order, even in the face of a node or network failures.
Manage cluster topology. All topology operations are consistently sequenced, making topology updates fast and safe.
Raft requires at least a quorum of nodes in a cluster to be available. If multiple nodes fail and the quorum is lost, the cluster is unavailable for schema updates or topology changes. See Handling Failures for information on how to handle failures.
Note that when you have a two-DC cluster with the same number of nodes in each DC, the cluster will lose the quorum if one of the DCs is down. We recommend configuring three DCs per cluster to ensure that the cluster remains available and operational when one DC is down.
In ScyllaDB, schema is based on Data Definition Language (DDL). In earlier ScyllaDB versions, schema changes were tracked via the gossip protocol, which might lead to schema conflicts if the updates are happening concurrently.
Implementing Raft eliminates schema conflicts and allows full automation of DDL changes under any conditions, as long as a quorum of nodes in the cluster is available. The following examples illustrate how Raft provides the solution to problems with schema changes.
A network partition may lead to a split-brain case, where each subset of nodes has a different version of the schema.
With Raft, after a network split, the majority of the cluster can continue performing schema changes, while the minority needs to wait until it can rejoin the majority. Data manipulation statements on the minority can continue unaffected, provided the quorum requirement is satisfied.
Two or more conflicting schema updates are happening at the same time. For example, two different columns with the same definition are simultaneously added to the cluster. There is no effective way to resolve the conflict - the cluster will employ the schema with the most recent timestamp, but changes related to the shadowed table will be lost.
With Raft, concurrent schema changes are safe.
In summary, Raft makes schema changes safe, but it requires that a quorum of nodes in the cluster is available.
You may need to perform the following procedure on upgrade if you explicitly disabled the Raft-based schema changes feature in the previous ScyllaDB version. Please consult the upgrade guide.
The Raft upgrade procedure requires full cluster availability to correctly setup the Raft algorithm; after the setup finishes, Raft can proceed with only a majority of nodes, but this initial setup is an exception. An unlucky event, such as a hardware failure, may cause one of your nodes to fail. If this happens before the Raft upgrade procedure finishes, the procedure will get stuck and your intervention will be required.
To verify that the procedure finishes, look at the log of every Scylla node (using journalctl _COMM=scylla). Search for the following patterns:
Starting internal upgrade-to-raft procedure denotes the start of the procedure,
Raft upgrade finished denotes the end.
The following is an example of a log from a node which went through the procedure correctly. Some parts were truncated for brevity:
features - Feature SUPPORTS_RAFT_CLUSTER_MANAGEMENT is enabled
raft_group0 - finish_setup_after_join: SUPPORTS_RAFT feature enabled. Starting internal upgrade-to-raft procedure.
raft_group0_upgrade - starting in `use_pre_raft_procedures` state.
raft_group0_upgrade - Waiting until everyone is ready to start upgrade...
raft_group0_upgrade - Joining group 0...
raft_group0 - server 624fa080-8c0e-4e3d-acf6-10af473639ca joined group 0 with group id 8f8a1870-5c4e-11ed-bb13-fe59693a23c9
raft_group0_upgrade - Waiting until every peer has joined Raft group 0...
raft_group0_upgrade - Every peer is a member of Raft group 0.
raft_group0_upgrade - Waiting for schema to synchronize across all nodes in group 0...
raft_group0_upgrade - synchronize_schema: my version: a37a3b1e-5251-3632-b6b4-a9468a279834
raft_group0_upgrade - synchronize_schema: schema mismatches: {}. 3 nodes had a matching version.
raft_group0_upgrade - synchronize_schema: finished.
raft_group0_upgrade - Entering synchronize state.
raft_group0_upgrade - Schema changes are disabled in synchronize state. If a failure makes us unable to proceed, manual recovery will be required.
raft_group0_upgrade - Waiting for all peers to enter synchronize state...
raft_group0_upgrade - All peers in synchronize state. Waiting for schema to synchronize...
raft_group0_upgrade - synchronize_schema: collecting schema versions from group 0 members...
raft_group0_upgrade - synchronize_schema: collected remote schema versions.
raft_group0_upgrade - synchronize_schema: my version: a37a3b1e-5251-3632-b6b4-a9468a279834
raft_group0_upgrade - synchronize_schema: schema mismatches: {}. 3 nodes had a matching version.
raft_group0_upgrade - synchronize_schema: finished.
raft_group0_upgrade - Schema synchronized.
raft_group0_upgrade - Raft upgrade finished.
In a functioning cluster with good network connectivity the procedure should take no more than a few seconds. Network issues may cause the procedure to take longer, but if all nodes are alive and the network is eventually functional (each pair of nodes is eventually connected), the procedure will eventually finish.
Note the following message, which appears in the log presented above:
Schema changes are disabled in synchronize state. If a failure makes us unable to proceed, manual recovery will be required.
During the procedure, there is a brief window while schema changes are disabled. This is when the schema change mechanism switches from the older unsafe algorithm to the safe Raft-based algorithm. If everything runs smoothly, this window will be unnoticeable; the procedure is designed to minimize that window’s length. However, if the procedure gets stuck e.g. due to network connectivity problem, ScyllaDB will return the following error when trying to perform a schema change during this window:
Cannot perform schema or topology changes during this time; the cluster is currently upgrading to use Raft for schema operations.
If this error keeps happening, check the logs of your nodes to learn the state of upgrade. The upgrade procedure may get stuck
if there was a node failure.
In the next example, one of the nodes had a power outage before the procedure could finish. The following shows a part of another node’s logs:
raft_group0_upgrade - Entering synchronize state.
raft_group0_upgrade - Schema changes are disabled in synchronize state. If a failure makes us unable to proceed, manual recovery will be required.
raft_group0_upgrade - Waiting for all peers to enter synchronize state...
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: node 127.90.69.3 not in synchronize state yet...
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: node 127.90.69.1 not in synchronize state yet...
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: retrying in a while...
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: node 127.90.69.1 not in synchronize state yet...
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: retrying in a while...
...
raft_group0_upgrade - Raft upgrade procedure taking longer than expected. Please check if all nodes are live and the network is healthy. If the upgrade procedure does not progress even though the cluster is healthy, try performing a rolling restart of the cluster. If that doesn 't help or some nodes are dead and irrecoverable, manual recovery may be required. Consult the relevant documentation.
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: node 127.90.69.1 not in synchronize state yet...
raft_group0_upgrade - wait_for_peers_to_enter_synchronize_state: retrying in a while...
Note the following message:
raft_group0_upgrade - Raft upgrade procedure taking longer than expected. Please check if all nodes are live and the network is healthy. If the upgrade procedure does not progress even though the cluster is healthy, try performing a rolling restart of the cluster. If that doesn 't help or some nodes are dead and irrecoverable, manual recovery may be required. Consult the relevant documentation.
If the Raft upgrade procedure is stuck, this message will appear periodically in each node’s logs.
The message suggests the initial course of action:
Check if all nodes are alive.
If a node is down but can be restarted, restart it.
If all nodes are alive, ensure that the network is healthy: that every node is reachable from every other node.
If all nodes are alive and the network is healthy, perform a rolling restart of the cluster.
One of the reasons why the procedure may get stuck is a pre-existing problem in schema definitions which causes schema to be unable to synchronize in the cluster. The procedure cannot proceed unless it ensures that schema is synchronized. If all nodes are alive and the network is healthy, you performed a rolling restart, but the issue still persists, contact ScyllaDB support for assistance.
If some nodes are dead and irrecoverable, you’ll need to perform a manual recovery procedure. Consult the section about Raft recovery.
ScyllaDB can use Raft to manage cluster topology. With Raft-managed topology enabled, all topology operations are internally sequenced in a consistent way. A centralized coordination process ensures that topology metadata is synchronized across the nodes on each step of a topology change procedure. This makes topology updates fast and safe, as the cluster administrator can trigger many topology operations concurrently, and the coordination process will safely drive all of them to completion. For example, multiple nodes can be bootstrapped concurrently, which couldn’t be done with the old gossip-based topology.
The feature is automatically enabled in new clusters.
If you upgraded from 5.4, you must perform a manual action in order to enable consistent topology changes. See the guide for enabling consistent topology changes for more details.
Schema on Raft
You can verify that Raft is enabled on your cluster by performing the following query on each node:
cqlsh> SELECT * FROM system.scylla_local WHERE key = 'group0_upgrade_state';
The query should return:
key | value ----------------------+-------------------------- group0_upgrade_state | use_post_raft_procedures (1 rows)
on every node.
If the query returns 0 rows, or value is synchronize or use_pre_raft_procedures, it means that the cluster is in the middle of the Raft upgrade procedure; consult the relevant section.
If value is recovery, it means that the cluster is in the middle of the manual recovery procedure. The procedure must be finished. Consult the section about Raft recovery.
If value is anything else, it might mean data corruption or a mistake when performing the manual recovery procedure. The value will be treated as if it was equal to recovery when the node is restarted.
Consistent topology changes
You can verify that consistent topology management is enabled on your cluster in two ways:
By querying the system.topology table:
cqlsh> SELECT upgrade_state FROM system.topology;
The query should return done after upgrade is complete:
upgrade_state --------------- done (1 rows)An empty result or a value of
not_upgradedmeans that upgrade has not started yet. Any other value means that upgrade is in progress.
By sending a GET HTTP request to the /`storage_service/raft_topology/upgrade` endpoint. For example, you can do it with curl like this:
curl -X GET "http://127.0.0.1:10000/storage_service/raft_topology/upgrade"
It returns a JSON string, with the same meaning and value as the upgrade_state column in system.topology (see the previous point).
Achieving NoSQL Database Consistency with Raft in ScyllaDB - A tech talk by Konstantin Osipov
Making Schema Changes Safe with Raft - A Scylla Summit talk by Konstantin Osipov (register for access)
The Future of Consensus in ScyllaDB 5.0 and Beyond - A Scylla Summit talk by Tomasz Grabiec (register for access)
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