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"majority"
Read Concern "majority"
¶
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-
"majority"
¶
For read operations not associated with multi-document
transactions, read concern "majority"
guarantees that the data read has been acknowledged by a majority of
the replica set members (i.e. the documents read are durable and
guaranteed not to roll back).
For operations in multi-document transactions, read concern "majority"
provides its
guarantees only if the transaction commits with write concern
“majority”. Otherwise, the
"majority"
read concern provides no guarantees about the
data read in transactions.
Regardless of the read concern level, the most recent data on a node may not reflect the most recent version of the data in the system.
Performance¶
Each replica set member maintains, in memory, a view of the data at the
majority-commit point; the majority-commit point is calculated by the
primary. To fulfill read concern "majority"
, the node returns data
from this view and is comparable in performance cost to other read
concerns.
Availability¶
Read concern "majority"
is available for use with or
without causally consistent sessions and transactions.
Warning
If you are using a three-member primary-secondary-arbiter (PSA) architecture, consider the following:
- The write concern
"majority"
can cause performance issues if a secondary is unavailable or lagging. For advice on how to mitigate these issues, see Mitigate Performance Issues with PSA Replica Set. - If you are using a global default
"majority"
and the write concern is less than the size of the majority, your queries may return stale (not fully replicated) data.
Example¶
Consider the following timeline of a write operation Write0 to a three member replica set:
Note
For simplification, the example assumes:
- All writes prior to Write0 have been successfully replicated to all members.
- Writeprev is the previous write before Write0.
- No other writes have occured after Write0.
Time | Event | Most Recent Write | Most Recent w: “majority” write |
---|---|---|---|
t0 | Primary applies Write0 | Primary: Write0
Secondary1: Writeprev
Secondary2: Writeprev
|
Primary: Writeprev
Secondary1: Writeprev
Secondary2: Writeprev
|
t1 | Secondary1 applies write0 | Primary: Write0
Secondary1: Write0
Secondary2: Writeprev
|
Primary: Writeprev
Secondary1: Writeprev
Secondary2: Writeprev
|
t2 | Secondary2 applies write0 | Primary: Write0
Secondary1: Write0
Secondary2: Write0
|
Primary: Writeprev
Secondary1: Writeprev
Secondary2: Writeprev
|
t3 | Primary is aware of successful replication to Secondary1 and sends acknowledgement to client | Primary: Write0
Secondary1: Write0
Secondary2: Write0
|
Primary: Write0
Secondary1: Writeprev
Secondary2: Writeprev
|
t4 | Primary is aware of successful replication to Secondary2 | Primary: Write0
Secondary1: Write0
Secondary2: Write0
|
Primary: Write0
Secondary1: Writeprev
Secondary2: Writeprev
|
t5 | Secondary1 receives notice (through regular replication mechanism) to update its snapshot of its most recent w: “majority” write | Primary: Write0
Secondary1: Write0
Secondary2: Write0
|
Primary: Write0
Secondary1: Write0
Secondary2: Writeprev
|
t6 | Secondary2 receives notice (through regular replication mechanism) to update its snapshot of its most recent w: “majority” write | Primary: Write0
Secondary1: Write0
Secondary2: Write0
|
Primary: Write0
Secondary1: Write0
Secondary2: Write0
|
Then, the following tables summarizes the state of the data that a read
operation with "majority"
read concern would see at
time T
.
Read Target | Time T |
State of Data |
---|---|---|
Primary | Before t3 | Data reflects Writeprev |
Primary | After t3 | Data reflects Write0 |
Secondary1 | Before t5 | Data reflects Writeprev |
Secondary1 | After t5 | Data reflects Write0 |
Secondary2 | Before or at t6 | Data reflects Writeprev |
Secondary2 | After t6 | Data reflects Write0 |
Storage Engine Support¶
Read concern "majority"
is available for the
WiredTiger storage engine.
Tip
The serverStatus
command returns the
storageEngine.supportsCommittedReads
field which
indicates whether the storage engine supports "majority"
read
concern.
Read Concern "majority"
and Transactions¶
Note
You set the read concern at the transaction level, not at the individual operation level. To set the read concern for transactions, see Transactions and Read Concern.
For operations in multi-document transactions, read concern "majority"
provides its
guarantees only if the transaction commits with write concern
“majority”. Otherwise, the
"majority"
read concern provides no guarantees about the
data read in transactions.
Read Concern "majority"
and Aggregation¶
Starting in MongoDB 4.2, you can specify read concern level "majority"
for an
aggregation that includes an $out
stage.
In MongoDB 4.0 and earlier, you cannot include the $out
stage to use "majority"
read concern for the aggregation.
Read Your Own Writes¶
Changed in version 3.6.
Starting in MongoDB 3.6, you can use causally consistent sessions to read your own writes, if the writes request acknowledgement.
Prior to MongoDB 3.6, in order to read your own writes you must issue
your write operation with { w: "majority" }
write concern, and then issue your read operation with
primary
read preference, and either
"majority"
or "linearizable"
read concern.
Primary-Secondary-Arbiter Replica Sets¶
Starting in MongoDB 5.0,
enableMajorityReadConcern
and
--enableMajorityReadConcern
cannot be changed
and are always set to true
due to storage engine improvements.
In earlier versions of MongoDB,
enableMajorityReadConcern
and
--enableMajorityReadConcern
are configurable and can be set
to false
to prevent storage cache pressure from immobilizing a
deployment with a three-member primary-secondary-arbiter (PSA)
architecture.
If you are using a three-member primary-secondary-arbiter (PSA) architecture, consider the following:
- The write concern
"majority"
can cause performance issues if a secondary is unavailable or lagging. For advice on how to mitigate these issues, see Mitigate Performance Issues with PSA Replica Set. - If you are using a global default
"majority"
and the write concern is less than the size of the majority, your queries may return stale (not fully replicated) data.