Vespa Consistency Model
Vespa offers configurable data redundancy with eventual consistency across replicas. It’s designed for high efficiency under workloads where eventual consistency is an acceptable tradeoff. This document aims to go into some detail on what these tradeoffs are, and what you, as a user, can expect.
Write durability and consistency
When a client receives a successful write response, the operation has been written to the OS. The replication level is configurable. Operations are by default written on all replicas before sending a response.
On each replica node, operations are persisted to a write-ahead log before being applied. The system will automatically recover after a crash by replaying logged operations. The transaction log is synced to disk at OS-specific intervals, which is typically 30 seconds. This means that if all replicas go down at the same time, it is possible to lose the most recent non-synced data.
If a client receives a failure response for a write operation, the operation may or may not have taken place on a subset of the replicas. If not all replicas could be written to, they are considered divergent (out of sync). The system detects and reconciles divergent replicas. This happens without any required user intervention.
Each document write assigns a new wall-clock timestamp to the resulting document version. As a consequence, configure servers with NTP to keep clock drift as small as possible. Large clock drifts may result in timestamp collisions or unexpected operation orderings.
Vespa has support for conditional writes for individual documents through test-and-set operations. Multi-document transactions are not supported.
After a successful response, changes to the search indexes are immediately visible by default.
Reads are consistent on a best-effort basis and are not guaranteed to be linearizable.
Searches may observe partial updates, as updates are not atomic across index structures. This can only happen after a write has started, but before it’s complete. Once a write is complete, all index updates are visible.
Searches may observe transient loss of coverage when nodes go down. Vespa will restore coverage automatically when this happens. How fast this happens depends on the configured searchable-copies value.
If replicas diverge during a Get, Vespa performs a read-repair. This fetches the requested document from all divergent replicas. The client then receives the version with the newest timestamp.
If replicas diverge during a Visit, the operation will by default wait until the replicas are back in sync. You can configure the operation to immediately use the replica with the most documents.
Visits return the current state of the document set. They do not have snapshot isolation.
Reconciliation is the act of bringing divergent replicas back into sync. This usually happens after a node restarts or fails. It will also happen after network partitions.
Unlike several other eventually consistent databases, Vespa doesn’t use distributed replica operation logs. Instead, reconciling replicas involves exchanging sets of timestamped documents. Reconciliation is complete once the union set of documents is present on all replicas. Metadata is checksummed to determine whether replicas are in sync with each other.
When reconciling replicas, the newest available version of a document will “win” and become visible. This version may be a remove (tombstone).
If a test-and-set operation updates at least one replica, it will eventually become visible on the other replicas.
The reconciliation operation is referred to as a “merge” in the rest of the Vespa documentation.
Vespa is dependent on a centralized (but fault tolerant) node health checker and coordinator.
A network partition may take place between the coordinator and a subset of nodes. Operations to nodes in this subset aren’t guaranteed to succeed until the partition heals. As a consequence, Vespa is not guaranteed to be strongly available (i.e. the ‘A’ in CAP).
In practice, the best-effort semantics of Vespa have proven to be both robust and highly available.