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layout | page_title | sidebar_current | description |
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api | Consistency Modes | api-features-consistency | Most of the read query endpoints support multiple levels of consistency. Since no policy will suit all clients' needs, these consistency modes allow the user to have the ultimate say in how to balance the trade-offs inherent in a distributed system. |
Consistency Modes
Most of the read query endpoints support multiple levels of consistency. Since no policy will suit all clients' needs, these consistency modes allow the user to have the ultimate say in how to balance the trade-offs inherent in a distributed system.
The three read modes are:
-
default
- If not specified, the default is strongly consistent in almost all cases. However, there is a small window in which a new leader may be elected during which the old leader may service stale values. The trade-off is fast reads but potentially stale values. The condition resulting in stale reads is hard to trigger, and most clients should not need to worry about this case. Also, note that this race condition only applies to reads, not writes. -
consistent
- This mode is strongly consistent without caveats. It requires that a leader verify with a quorum of peers that it is still leader. This introduces an additional round-trip to all server nodes. The trade-off is increased latency due to an extra round trip. Most clients should not use this unless they cannot tolerate a stale read. -
stale
- This mode allows any server to service the read regardless of whether it is the leader. This means reads can be arbitrarily stale; however, results are generally consistent to within 50 milliseconds of the leader. The trade-off is very fast and scalable reads with a higher likelihood of stale values. Since this mode allows reads without a leader, a cluster that is unavailable will still be able to respond to queries.
To switch these modes, either the stale
or consistent
query parameters
should be provided on requests. It is an error to provide both.
Note that some endpoints support a cached
parameter which has some of the same
semantics as stale
but different trade offs. This behavior is described in
Agent Caching.
To support bounding the acceptable staleness of data, responses provide the
X-Consul-LastContact
header containing the time in milliseconds that a server
was last contacted by the leader node. The X-Consul-KnownLeader
header also
indicates if there is a known leader. These can be used by clients to gauge the
staleness of a result and take appropriate action.