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Read Preference¶
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Read preference describes how MongoDB clients route read operations to the members of a replica set.
By default, an application directs its read operations to the primary member in a replica set.
In MongoDB, in a replica set with one primary member [1],
- With "local" readConcern, reads from the primary reflect the latest writes in absence of a failover;
- With "majority" readConcern, read operations from the primary or the secondaries have eventual consistency.
Important
Exercise care when specifying read preferences: Modes other than primary may return stale data because with asynchronous replication, data in the secondary may not reflect the most recent write operations. [1]
Note
The read preference does not affect the visibility of data; i.e, clients can see the results of writes before they are acknowledged or have propagated to a majority of replica set members:
- Regardless of write concern, other clients using "local" (i.e. the default) readConcern can see the result of a write operation before the write operation is acknowledged to the issuing client.
- Clients using "local" (i.e. the default) readConcern can read data which may be subsequently rolled back.
Use Cases¶
Indications¶
The following are common use cases for using non-primary read preference modes:
Running systems operations that do not affect the front-end application.
Providing local reads for geographically distributed applications.
If you have application servers in multiple data centers, you may consider having a geographically distributed replica set and using a non primary read preference or the nearest. This allows the client to read from the lowest-latency members, rather than always reading from the primary.
Maintaining availability during a failover.
Use primaryPreferred if you want an application to read from the primary under normal circumstances, but to allow stale reads from secondaries when the primary is unavailable. This provides a “read-only mode” for your application during a failover.
Counter-Indications¶
In general, do not use secondary and secondaryPreferred to provide extra capacity for reads, because:
- All members of a replica have roughly equivalent write traffic; as a result, secondaries will service reads at roughly the same rate as the primary.
- Replication is asynchronous and there is some amount of delay between a successful write operation and its replication to secondaries. Reading from a secondary can return out-of-date data; reading from different secondaries may result in non-monotonic reads.
- Distributing read operations to secondaries can compromise availability if any members of the set become unavailable because the remaining members of the set will need to be able to handle all application requests.
- For queries of sharded collections, for clusters with the balancer active, secondaries may return stale results with missing or duplicated data because of incomplete or terminated chunk migrations.
Sharding increases read and write capacity by distributing read and write operations across a group of machines, and is often a better strategy for adding capacity.
See Read Preference Processes for more information about the internal application of read preferences.
Read Preference Modes¶
Important
All read preference modes except primary may return stale data because secondaries replicate operations from the primary with some delay. [1] Ensure that your application can tolerate stale data if you choose to use a non-primary mode.
MongoDB drivers support five read preference modes.
Read Preference Mode | Description |
---|---|
primary | Default mode. All operations read from the current replica set primary. |
primaryPreferred | In most situations, operations read from the primary but if it is unavailable, operations read from secondary members. |
secondary | All operations read from the secondary members of the replica set. |
secondaryPreferred | In most situations, operations read from secondary members but if no secondary members are available, operations read from the primary. |
nearest | Operations read from member of the replica set with the least network latency, irrespective of the member’s type. |
The syntax for specifying the read preference mode is specific to the driver and to the idioms of the host language.
Read preference modes are also available to clients connecting to a sharded cluster through a mongos. The mongos instance obeys specified read preferences when connecting to the replica set that provides each shard in the cluster.
In the mongo shell, the readPref() cursor method provides access to read preferences.
For more information, see read preference background and read preference behavior. See also the documentation for your driver.
Tag Sets¶
Tag sets allow you to target read operations to specific members of a replica set.
Custom read preferences and write concerns evaluate tag sets in different ways. Read preferences consider the value of a tag when selecting a member to read from. Write concerns ignore the value of a tag to when selecting a member, except to consider whether or not the value is unique.
You can specify tag sets with the following read preference modes:
Tags are not compatible with mode primary and, in general, only apply when selecting a secondary member of a set for a read operation. However, the nearest read mode, when combined with a tag set, selects the matching member with the lowest network latency. This member may be a primary or secondary.
All interfaces use the same member selection logic to choose the member to which to direct read operations, basing the choice on read preference mode and tag sets.
For information on configuring tag sets, see the Configure Replica Set Tag Sets tutorial.
For more information on how read preference modes interact with tag sets, see the documentation for each read preference mode.
[1] | (1, 2, 3) In some circumstances, two nodes in a replica set may transiently believe that they are the primary, but at most, one of them will be able to complete writes with { w: "majority" } write concern. The node that can complete { w: "majority" } writes is the current primary, and the other node is a former primary that has not yet recognized its demotion, typically due to a network partition. When this occurs, clients that connect to the former primary may observe stale data despite having requested read preference primary, and new writes to the former primary will eventually roll back. |
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