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Operational Restrictions in Sharded Clusters
Sharding Operational Restrictions
Operations Unavailable in Sharded Environments
$where does not permit references to the db object
from the $where function. This is uncommon in
un-sharded collections.
The geoSearch command is not supported in sharded
environments.
Single Document Modification Operations in Sharded Collections
All updateOne()
and deleteOne() operations for a sharded
collection that specify the multi: false or justOne
option must include the shard key or the _id field in
the query specification.
updateOne()
and deleteOne() operations specifying
multi: false or justOne in a sharded collection which do
not contain either the shard key or the _id field return an
error.
To use findOneAndUpdate() with a sharded
collection, your query filter must include an equality condition on the
shard key to compare the key and value in either of these
formats:
{ key: value } { key: { $eq: value } }
Unique Indexes in Sharded Collections
MongoDB does not support unique indexes across shards, except when the unique index contains the full shard key as a prefix of the index. In these situations MongoDB will enforce uniqueness across the full key, not a single field.
Tip
See:
Unique Constraints on Arbitrary Fields for an alternate approach.
Sharding Existing Collection Data Size
An existing collection can only be sharded if its size does not exceed specific limits. These limits can be estimated based on the average size of all shard key values, and the configured chunk size.
Important
These limits only apply for the initial sharding operation. Sharded collections can grow to any size after successfully enabling sharding.
Use the following formulas to calculate the theoretical maximum collection size.
maxSplits = 16777216 (bytes) / <average size of shard key values in bytes> maxCollectionSize (MB) = maxSplits * (chunkSize / 2)
Note
The maximum BSON document size is 16MB or 16777216 bytes.
All conversions should use base-2 scale, e.g. 1024 kilobytes = 1 megabyte.
If maxCollectionSize is less than or nearly equal to the target
collection, increase the chunk size to ensure successful initial sharding.
If there is doubt as to whether the result of the calculation is too
'close' to the target collection size, it is likely better to increase the
chunk size.
After successful initial sharding, you can reduce the chunk size as needed. If you later reduce the chunk size, it may take time for all chunks to split to the new size. See Modify Chunk Size in a Sharded Cluster for instructions on modifying chunk size.
This table illustrates the approximate maximum collection sizes using the formulas described above:
Average Size of Shard Key Values | 512 bytes | 256 bytes | 128 bytes | 64 bytes |
|---|---|---|---|---|
Maximum Number of Splits | 32,768 | 65,536 | 131,072 | 262,144 |
Max Collection Size (64 MB Chunk Size) | 1 TB | 2 TB | 4 TB | 8 TB |
Max Collection Size (128 MB Chunk Size) | 2 TB | 4 TB | 8 TB | 16 TB |
Max Collection Size (256 MB Chunk Size) | 4 TB | 8 TB | 16 TB | 32 TB |