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MMAPv1 Storage Engine

MMAPv1 is MongoDB’s original storage engine based on memory mapped files. It excels at workloads with high volume inserts, reads, and in-place updates.


MMAPv1 is not supported on big-endian architectures such as s390x. MongoDB returns an error if you set MMAPv1 as the storage engine on a big-endian system.

Changed in version 3.2: Starting in MongoDB 3.2, the MMAPv1 is no longer the default storage engine; instead, the WiredTiger storage engine is the default storage engine . See Default Storage Engine Change.


In order to ensure that all modifications to a MongoDB data set are durably written to disk, MongoDB, by default, records all modifications to an on-disk journal. MongoDB writes more frequently to the journal than it writes the data files.

In the default configuration for the MMAPv1 storage engine, MongoDB writes to the data files on disk every 60 seconds and writes to the journal files roughly every 100 milliseconds.

To change the interval for writing to the data files, use the storage.syncPeriodSecs setting. For the journal files, see storage.journal.commitIntervalMs setting.

These values represent the maximum amount of time between the completion of a write operation and when MongoDB writes to the data files or to the journal files. In many cases MongoDB and the operating system flush data to disk more frequently, so that the above values represents a theoretical maximum.

The journal allows MongoDB to successfully recover data from data files after a mongod instance exits without flushing all changes. See Journaling for more information about the journal in MongoDB.

Record Storage Characteristics

All records are contiguously located on disk, and when a document becomes larger than the allocated record, MongoDB must allocate a new record. New allocations require MongoDB to move a document and update all indexes that refer to the document, which takes more time than in-place updates and leads to storage fragmentation.

Changed in version 3.0.0.

By default, MongoDB uses Power of 2 Sized Allocations so that every document in MongoDB is stored in a record which contains the document itself and extra space, or padding. Padding allows the document to grow as the result of updates while minimizing the likelihood of reallocations.

Record Allocation Strategies

MongoDB supports multiple record allocation strategies that determine how mongod adds padding to a document when creating a record. Because documents in MongoDB may grow after insertion and all records are contiguous on disk, the padding can reduce the need to relocate documents on disk following updates. Relocations are less efficient than in-place updates and can lead to storage fragmentation. As a result, all padding strategies trade additional space for increased efficiency and decreased fragmentation.

Different allocation strategies support different kinds of workloads: the power of 2 allocations are more efficient for insert/update/delete workloads; while exact fit allocations is ideal for collections without update and delete workloads.

Power of 2 Sized Allocations

Changed in version 3.0.0.

MongoDB 3.0 uses the power of 2 sizes allocation as the default record allocation strategy for MMAPv1. With the power of 2 sizes allocation strategy, each record has a size in bytes that is a power of 2 (e.g. 32, 64, 128, 256, 512 … 2 MB). For documents larger than 2 MB, the allocation is rounded up to the nearest multiple of 2 MB.

The power of 2 sizes allocation strategy has the following key properties:

  • Can efficiently reuse freed records to reduce fragmentation. Quantizing record allocation sizes into a fixed set of sizes increases the probability that an insert will fit into the free space created by an earlier document deletion or relocation.
  • Can reduce moves. The added padding space gives a document room to grow without requiring a move. In addition to saving the cost of moving, this results in less updates to indexes. Although the power of 2 sizes strategy can minimize moves, it does not eliminate them entirely.

No Padding Allocation Strategy

Changed in version 3.0.0.

For collections whose workloads do not change the document sizes, such as workloads that consist of insert-only operations or update operations that do not increase document size (such as incrementing a counter), you can disable the power of 2 allocation using the collMod command with the noPadding flag or the db.createCollection() method with the noPadding option.

Prior to version 3.0.0, MongoDB used an allocation strategy that included a dynamically calculated padding as a factor of the document size.

Memory Use

With MMAPv1, MongoDB automatically uses all free memory on the machine as its cache. System resource monitors show that MongoDB uses a lot of memory, but its usage is dynamic. If another process suddenly needs half the server’s RAM, MongoDB will yield cached memory to the other process.

Technically, the operating system’s virtual memory subsystem manages MongoDB’s memory. This means that MongoDB will use as much free memory as it can, swapping to disk as needed. Deployments with enough memory to fit the application’s working data set in RAM will achieve the best performance.