sh.shardCollection()
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Definition
sh.shardCollection(namespace, key, unique, options)
-
Shards a collection using the
key
as a the shard key. The shard key determines how MongoDB distributes the collection's documents among the shards.Note
Changed in version 6.0.
Starting in MongoDB 6.0, sharding a collection does not require you to first run the
sh.enableSharding()
method to configure the database.Important
mongosh Method
This page documents a
mongosh
method. This is not the documentation for database commands or language-specific drivers, such as Node.js.For the database command, see the
shardCollection
command.For MongoDB API drivers, refer to the language-specific MongoDB driver documentation.
For the legacy
mongo
shell documentation, refer to the documentation for the corresponding MongoDB Server release:sh.shardCollection()
takes the following arguments:Parameter Type Description namespace
string The namespace of the collection to shard in the form "<database>.<collection>"
.key
document The document that specifies the field or fields to use as the shard key. { <field1>: <1|"hashed">, ... }
Set the field value to either:1
for ranged based sharding"hashed"
to specify a hashed shard key.
shardCollection
command. If the collection is empty, MongoDB creates the index prior to sharding the collection if the index that can support the shard key does not already exist.
See also Shard Key Indexesunique
boolean Optional. Specify true
to ensure that the underlying index enforces a unique constraint. Defaults tofalse
.
You cannot specifytrue
when using hashed shard keys.
If specifying theoptions
document, you must explicitly specify the value forunique
.options
document Optional. A document containing optional fields, including numInitialChunks
andcollation
.The
options
argument supports the following options:Parameter Type Description numInitialChunks
integer Optional. Specifies the minimum number of chunks to create initially when sharding an empty collection with a hashed shard key. MongoDB then creates and balances chunks across the cluster. The numInitialChunks
parameter must be less than8192
chunks per shard. Defaults to2
chunks per shard.
If the collection is not empty or the shard key does not contain a hashed field, the operation returns an error.- If sharding with presplitHashedZones: true, MongoDB attempts to evenly distribute the specified number of chunks across the zones in the cluster.
- If sharding with presplitHashedZones: false or omitted and no zones and zone ranges are defined for the empty collection, MongoDB attempts to evenly distributed the specified number of chunks across the shards in the cluster.
- If sharding with presplitHashedZones: false or omitted and zones and zone ranges have been defined for the empty collection,
numInitChunks
has no effect.
Changed in version 4.4.collation
document Optional. If the collection specified to shardCollection
has a default collation, you must include a collation document with``{ locale : "simple" }``, or theshardCollection
command fails. At least one of the indexes whose fields support the shard key pattern must have the simple collation.presplitHashedZones boolean Optional. Specify true
to perform initial chunk creation and distribution for an empty or non-existing collection based on the defined zones and zone ranges for the collection. For hashed sharding only.shardCollection()
withpresplitHashedZones: true
returns an error if any of the following are true:- The shard key does not contain a hashed field (i.e. is not a single field hashed index or compound hashed index).
- The collection has no defined zones or zone ranges.
- The defined zone ranges do not meet the requirements.
New in version 4.4.timeseries document Optional. Specify this option to create a new sharded time series collection.
To shard an existing time series collection, omit this parameter.
When the collection specified toshardCollection
is a time series collection and thetimeseries
option is not specified, MongoDB uses the values that define the existing time series collection to populate thetimeseries
field.
For detailed syntax, see Time Series Options.
Time Series Options
New in version 5.1.
To create a new time series collection that is sharded, specify the timeseries option to sh.shardCollection()
.
The timeseries option takes the following fields:
Field | Type | Description |
---|---|---|
timeField | string | Required. The name of the field which contains the date in each time series document. Documents in a time series collection must have a valid BSON date as the value for the timeField .
|
metaField | string | Optional. The name of the field which contains metadata in each time series document. The metadata in the specified field should be data that is used to label a unique series of documents. The metadata should rarely, if ever, change. The name of the specified field may not be _id or the same as the timeseries.timeField . The field can be of any type.
|
granularity | string | Optional. Possible values are:
granularity to "seconds" for high-frequency ingestion.Manually set the granularity parameter to improve performance by optimizing how data in the time series collection is stored internally. To select a value for granularity , choose the closest match to the time span between consecutive incoming measurements.If you specify the timeseries.metaField , consider the time span between consecutive incoming measurements that have the same unique value for the metaField field. Measurements often have the same unique value for the metaField field if they come from the same source.If you do not specify timeseries.metaField , consider the time span between all measurements that are inserted in the collection.If you set the granularity parameter, you can't set the bucketMaxSpanSeconds and bucketRoundingSeconds parameters.
|
Considerations
Once a collection has been sharded, MongoDB provides no method to unshard a sharded collection.
Shard Keys
While you can change your shard key later, it is important to carefully consider your shard key choice to avoid scalability and perfomance issues.
Shard Keys on Time Series Collections
When sharding time series collections, you can only specify the following fields in the shard key:
-
The
metaField
-
Sub-fields of
metaField
-
The
timeField
You may specify combinations of these fields in the shard key. No other fields, including _id
, are allowed in the shard key pattern.
When you specify the shard key:
-
metaField
can be either a: -
timeField
must be:-
At the end of the shard key pattern
Tip
Avoid specifying only the timeField
as the shard key. Since the timeField
increases monotonically, it may result in all writes appearing on a single chunk within the cluster. Ideally, data is evenly distributed across chunks.
To learn how to best choose a shard key, see:
Tip
See also:
Hashed Shard Keys
Hashed shard keys use a hashed index or a compound hashed index as the shard key.
Use the form field: "hashed"
to specify a hashed shard key field.
Note
If chunk migrations are in progress while creating a hashed shard key collection, the initial chunk distribution may be uneven until the balancer automatically balances the collection.
Tip
See also:
Zone Sharding and Initial Chunk Distribution
The shard collection operation (i.e. shardCollection
command and the sh.shardCollection()
helper) can perform initial chunk creation and distribution for an empty or a non-existing collection if zones and zone ranges have been defined for the collection. Initial chunk distribution allows for a faster setup of zoned sharding. After the initial distribution, the balancer manages the chunk distribution going forward per usual.
See Pre-Define Zones and Zone Ranges for an Empty or Non-Existing Collection for an example. If sharding a collection using a ranged or single-field hashed shard key, the numInitialChunks
option has no effect if zones and zone ranges have been defined for the empty collection.
To shard a collection using a compound hashed index, see Initial Chunk Distribution with Compound Hashed Indexes.
Initial Chunk Distribution with Compound Hashed Indexes
Starting in version 4.4, MongoDB supports sharding collections on compound hashed indexes. When sharding an empty or non-existing collection using a compound hashed shard key, additional requirements apply in order for MongoDB to perform initial chunk creation and distribution.
The numInitialChunks
option has no effect if zones and zone ranges have been defined for the empty collection and
presplitHashedZones is false
.
See Pre-Define Zones and Zone Ranges for an Empty or Non-Existing Collection for an example.
Tip
See also:
Uniqueness
If specifying unique: true
:
-
If the collection is empty,
sh.shardCollection()
creates the unique index on the shard key if such an index does not already exist. -
If the collection is not empty, you must create the index first before using
sh.shardCollection()
.
Although you can have a unique compound index where the shard key is a prefix, if using unique
parameter, the collection must have a unique index that is on the shard key.
See also Sharded Collection and Unique Indexes
Collation
If the collection has a default collation, the sh.shardCollection()
command must include a collation
parameter with the value { locale: "simple" }
. For non-empty collections with a default collation, you must have at least one index with the simple collation whose fields support the shard key pattern.
You do not need to specify the collation
option for collections without a collation. If you do specify the collation option for a collection with no collation, it will have no effect.
Write Concern
mongos
uses "majority"
for the write concern of the shardCollection
command and its helper sh.shardCollection()
.
Examples
Simple Usage
Given a collection named people
in a database named records
, the following command shards the collection by the zipcode
field:
sh.shardCollection("records.people", { zipcode: 1 } )
Usage with Options
The phonebook
database has a collection contacts
with no default collation. The following example uses sh.shardCollection()
to shard the phonebook.contacts
with:
-
a hashed shard key on the
last_name
field, -
5
initial chunks, and -
a collation of
simple
.
sh.shardCollection( "phonebook.contacts", { last_name: "hashed" }, false, { numInitialChunks: 5, collation: { locale: "simple" } } )