Compatibility Changes in MongoDB 8.0
Query Behavior
Queries for null Don't Match undefined Fields
Starting in MongoDB 8.0, comparisons to null
in equality match
expressions don't match undefined
values.
For example, consider these documents and query:
// people collection [ { _id: 1, name: null }, { _id: 2, name: undefined }, { _id: 3, name: [ "Gabriel", undefined ], { _id: 4, names: [ "Alice", "Charu" ] } ]
db.people.find( { name: null } )
Prior to MongoDB 8.0, the preceding query would match documents where:
The
name
field isnull
(_id: 1
)The
name
field isundefined
or contains anundefined
array element (_id: 2
and_id: 3
)The
name
field does not exist (_id: 4
)
Starting in MongoDB 8.0, the preceding query does not match documents
where the name
field is undefined
or contains undefined
array elements. The query only matches documents where:
The
name
field isnull
or contains anull
array element (_id: 1
)The
name
field does not exist (_id: 4
)
This query behavior change also impacts these operations:
To learn how to rewrite your queries or migrate your data to account for this behavior change, see Migrate Undefined Data and Queries.
Deprecations
Deprecated | Description |
---|---|
LDAP | Starting in MongoDB 8.0, LDAP authentication and authorization is deprecated. LDAP is available and will continue to operate without changes throughout the lifetime of MongoDB 8. LDAP will be removed in a future major release. For more details, see LDAP Deprecation. LDAP migration information will be available in the future. |
Hedged reads | Starting in MongoDB 8.0, hedged reads are deprecated. Queries that
specify the read preference |
Index filters | Deprecated in version 8.0. Starting in MongoDB 8.0, use query settings instead of adding index filters. Index filters are deprecated starting in MongoDB 8.0. Query settings have more functionality than index filters. Also, index
filters aren't persistent and you cannot easily create index filters for
all cluster nodes. To add query settings and explore examples, see
|
Server-side JavaScript functions | Starting in MongoDB 8.0, server-side JavaScript functions
( |
tcmallocAggressiveMemoryDecommit | MongoDB 8.0 deprecates the tcmallocAggressiveMemoryDecommit parameter. |
enableFinerGrainedCatalogCacheRefresh | MongoDB 8.0 deprecates the enableFinerGrainedCatalogCacheRefresh
parameter. |
timeField in shard key for time series collection | Starting in MongoDB 8.0, use of the |
cleanupOrphaned | MongoDB 8.0 deprecates the cleanupOrphaned command. To
confirm that no orphaned documents remain, use
$shardedDataDistribution instead. |
rangePreview | Starting in MongoDB 8.0, the If your Queryable Encryption collection uses |
Backward-Incompatible Features
Cannot Connect Directly to Shard and Run Commands
Starting in MongoDB 8.0, you can only run certain commands on shards. If you attempt to connect directly to a shard and run an unsupported command, MongoDB returns an error:
"You are connecting to a sharded cluster improperly by connecting directly to a shard. Please connect to the cluster via a router (mongos)."
To run a non-supported database command directly against a shard, you
must either connect to mongos
or have the maintenance-only
directShardOperations
role.
MongoDB supports online transition from a replica set to a 1-shard
cluster by allowing commands to be run directly against a shard.
However, once the cluster has more than one shard, only the
listed commands can be run directly
against the shard without the maintenance-only directShardOperations
role.
Write Concern Majority
Starting in MongoDB 8.0, write operations that use the
"majority"
write concern return an
acknowledgment when the majority of replica set members have
written the oplog entry for the change. This improves the
performance of "majority"
writes. In previous releases,
these operations would wait and return an acknowledgment after
the majority of replica set members applied the change.
Oplog Buffers
Starting in MongoDB 8.0, secondaries write and apply oplog entries for each batch
in parallel. This introduces a breaking change for the
metrics.repl.buffer
status metric, as it now provides information
on two buffers instead of one.
MongoDB 8.0 deprecates the following server status metrics:
It replaces them with these metrics:
General Changes
Shutdown Performance
Starting in MongoDB 8.0, Bulk.insert()
and data ingestion
workloads may perform better. However, shutting down MongoDB
immediately after running these workloads might take longer because
of the extra data being flushed to disk.
Concurrent Compact Commands Not Allowed
Starting in MongoDB 8.0, if you try to run multiple concurrent
compact
commands on the same collection, MongoDB returns an
error.
Geospatial Input Validation
Starting in MongoDB 8.0, you cannot use geospatial queries with malformed input. In prior versions, certain geospatial queries accept malformed input without an error.
OIDC Identity Providers Can Share an Issuer
Starting in MongoDB 8.0, when multiple identity providers (IDP) are
defined, the oidcIdentityProviders
parameter accepts duplicate
issuer
values as long as the audience
value is unique for each
issuer. This is also available in versions 7.3 and 7.0.
serverStatus Output Change
Starting in MongoDB 8.0, wiredTiger.concurrentTransactions
is renamed to
queues.execution
.
Aggregation
$rank
and $denseRank
Behavior
Starting in MongoDB 8.0, null
and missing field values in
$denseRank
and $rank
sortBy operations
are treated the same when calculating rankings. This change makes
the behavior of denseRank
and rank
consistent with
$sort
.
$shardedDataDistribution Output
Starting in MongoDB 8.0, $shardedDataDistribution
only returns
output for a collection's primary shard if the primary shard
has chunks or orphaned documents.
For details, see $shardedDataDistribution
.
Upgraded TCMalloc
Starting in MongoDB 8.0, MongoDB uses an upgraded version of TCMalloc that uses per-CPU caches, instead of per-thread caches, to reduce memory fragmentation and make your database more resilient to high-stress workloads.
To use the new TCMalloc with better performance, see TCMalloc Performance Optimization for a Self-Managed Deployment.