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Why is there a maximum document size in MongoDB?
The maximum document size helps ensure that a single document cannot use excessive amount of RAM or, during transmission, excessive amount of bandwidth. To store documents larger than the maximum size, MongoDB provides the GridFS API. See mongofiles and the documentation for your driver for more information about GridFS.
Why does MongoDB not support duplicate field names?
MongoDB does not support duplicate field names The MongoDB Query Language is undefined over documents with duplicate field names. BSON builders may support creating a BSON document with duplicate field names. While the BSON builder may not throw an error, inserting these documents into MongoDB is not supported even if the insert succeeds.
How many fields in a compound Index in MongoDB?
There can be no more than 32 fields in a compound index. You cannot combine the $text query, which requires a special text index, with a query operator that requires a different type of special index. For example you cannot combine $text query with the $near operator.
What’s the memory limit for blocking sort in MongoDB?
allowDiskUse() allows MongoDB to use temporary files on disk to store data exceeding the 100 megabyte system memory limit while processing a blocking sort operation. Changed in version 4.4 : For MongoDB 4.2 and prior, blocking sort operations could not exceed 32 megabytes of system memory.
What’s the limit for the aggregation pipeline in MongoDB?
Pipeline stages have a limit of 100 megabytes of RAM. If a stage exceeds this limit, MongoDB will produce an error. To allow for the handling of large datasets, use the allowDiskUse option to enable aggregation pipeline stages to write data to temporary files.
Is it possible to insert a BSON document into MongoDB?
While the BSON builder may not throw an error, inserting these documents into MongoDB is not supported even if the insert succeeds. For example, inserting a BSON document with duplicate field names through a MongoDB driver may result in the driver silently dropping the duplicate values prior to insertion.
Which is the best way to store data in MongoDB?
While a table might seem like a good place to store data, as you can see from the example above, there are fields in this data set that require multiple values and would not be easy to search or display if modeled in a single column (for example – size and tags ). In a SQL database you might solve this problem by creating a relational table.