Data Partitioning with Chunks

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MongoDB uses the shard key associated to the collection to partition the data into chunks. A chunk consists of a subset of sharded data. Each chunk has a inclusive lower and exclusive upper range based on the shard key.

Diagram of the shard key value space segmented into smaller ranges or chunks.

MongoDB splits chunks when they grow beyond the configured chunk size. Both inserts and updates can trigger a chunk split.

The smallest range a chunk can represent is a single unique shard key value. A chunk that only contains documents with a single shard key value cannot be split.

Initial Chunks

Populated Collection

  • The sharding operation creates the initial chunk(s) to cover the entire range of the shard key values. The number of chunks created depends on the configured chunk size.
  • After the initial chunk creation, the balancer migrates these initial chunks across the shards as appropriate as well as manages the chunk distribution going forward.

Empty Collection

  • If you define zones and zone ranges defined for an empty or non-existing collection (Available starting in MongoDB 4.0.3):
    • The sharding operation creates empty chunks for the defined zone ranges as well as any additional chunks to cover the entire range of the shard key values and performs an initial chunk distribution based on the zone ranges. This initial creation and distribution of chunks allows for faster setup of zoned sharding.
    • After the initial distribution, the balancer manages the chunk distribution going forward.
  • If you do not have zones and zone ranges defined for an empty or non-existing collection:
    • For hashed sharding:
      • The sharding operation creates empty chunks to cover the entire range of the shard key values and performs an initial chunk distribution. By default, the operation creates 2 chunks per shard and migrates across the cluster. You can use numInitialChunks option to specify a different number of initial chunks. This initial creation and distribution of chunks allows for faster setup of sharding.
      • After the initial distribution, the balancer manages the chunk distribution going forward.
    • For ranged sharding:
      • The sharding operation creates a single empty chunk to cover the entire range of the shard key values.
      • After the initial chunk creation, the balancer migrates the initial chunk across the shards as appropriate as well as manages the chunk distribution going forward.

See also参阅

sh.balancerCollectionStatus()

Chunk Size

The default chunk size in MongoDB is 64 megabytes. You can increase or reduce the chunk size. Consider the implications of changing the default chunk size:

  1. Small chunks lead to a more even distribution of data at the expense of more frequent migrations. This creates expense at the query routing (mongos) layer.
  2. Large chunks lead to fewer migrations. This is more efficient both from the networking perspective and in terms of internal overhead at the query routing layer. But, these efficiencies come at the expense of a potentially uneven distribution of data.
  3. Chunk size affects the Maximum Number of Documents Per Chunk to Migrate.
  4. Chunk size affects the maximum collection size when sharding an existing collection. Post-sharding, chunk size does not constrain collection size.

For many deployments, it makes sense to avoid frequent and potentially spurious migrations at the expense of a slightly less evenly distributed data set.

Limitations

Changing the chunk size affects when chunks split but there are some limitations to its effects.

  • Automatic splitting only occurs during inserts or updates. If you lower the chunk size, it may take time for all chunks to split to the new size.
  • Splits cannot be “undone”. If you increase the chunk size, existing chunks must grow through inserts or updates until they reach the new size.

Chunk Splits

Splitting is a process that keeps chunks from growing too large. When a chunk grows beyond a specified chunk size, or if the number of documents in the chunk exceeds Maximum Number of Documents Per Chunk to Migrate, MongoDB splits the chunk based on the shard key values the chunk represent. A chunk may be split into multiple chunks where necessary. Inserts and updates may trigger splits. Splits are an efficient meta-data change. To create splits, MongoDB does not migrate any data or affect the shards.

Diagram of a shard with a chunk that exceeds the default chunk size of 64 MB and triggers a split of the chunk into two chunks.

Splits may lead to an uneven distribution of the chunks for a collection across the shards. In such cases, the balancer redistributes chunks across shards. See Cluster Balancer for more details on balancing chunks across shards.

Chunk Migration

MongoDB migrates chunks in a sharded cluster to distribute the chunks of a sharded collection evenly among shards. Migrations may be either:

For more information on the sharded cluster balancer, see Sharded Cluster Balancer.

See also参阅

shardingStatistics.countDonorMoveChunkLockTimeout

Balancing

The balancer is a background process that manages chunk migrations. If the difference in number of chunks between the largest and smallest shard exceed the migration thresholds, the balancer begins migrating chunks across the cluster to ensure an even distribution of data.

Diagram of a collection distributed across three shards. For this collection, the difference in the number of chunks between the shards reaches the *migration thresholds* (in this case, 2) and triggers migration.

You can manage certain aspects of the balancer. The balancer also respects any zones created as a part of configuring zones in a sharded cluster.

See Sharded Cluster Balancer for more information on the balancer.

Indivisible/Jumbo Chunks

In some cases, chunks can grow beyond the specified chunk size but cannot undergo a split. The most common scenario is when a chunk represents a single shard key value. Since the chunk cannot split, it continues to grow beyond the chunk size, becoming a jumbo chunk. These jumbo chunks can become a performance bottleneck as they continue to grow, especially if the shard key value occurs with high frequency.

Starting in version 4.4, MongoDB provides the refineCollectionShardKey command. Refining a collection’s shard key allows for a more fine-grained data distribution and can address situations where the existing key insufficient cardinality leads to jumbo chunks.

For more information, see:

moveChunk directory

In MongoDB 2.6 and MongoDB 3.0, sharding.archiveMovedChunks is enabled by default. All other MongoDB versions have this disabled by default. With sharding.archiveMovedChunks enabled, the source shard archives the documents in the migrated chunks in a directory named after the collection namespace under the moveChunk directory in the storage.dbPath.

If some error occurs during a migration, these files may be helpful in recovering documents affected during the migration.

Once the migration has completed successfully and there is no need to recover documents from these files, you may safely delete these files. Or, if you have an existing backup of the database that you can use for recovery, you may also delete these files after migration.

To determine if all migrations are complete, run sh.isBalancerRunning() while connected to a mongos instance.