MongoDB’s dynamic schema and document-based data structure offer a lot of flexibility in development, but it’s important to understand how your document construction can affect available memory in your application. It’s incredibly valua
MongoDB’s dynamic schema and document-based data structure offer a lot of flexibility in development, but it’s important to understand how your document construction can affect available memory in your application. It’s incredibly valuable to optimize storage size of your documents, and one easy way to do this is by shortening your field names.
MongoDB stores all field names in each BSON document. In most cases the space is inconsequential, but when your data set grows to include millions of documents (and potentially collections), the extra bytes in long field names can add up. If document or schema overhead is a significant concern, consider shorteni本文来源gaodai#ma#com搞@@代~&码*网2ng your field names.
For example, instead of the field names in the following document:
{ first_name: ?“Joseph”, address: “345 Caroll Street” , telephone: “19176253475”}
Consider shortening the names to:
{ fname: ?“Joseph”, addr: “345 Caroll Street” , tel: “19176253475”}
The Use Case
One case where this might be useful is when you are logging real-time data points such as web stats. Here, you have many small documents being added every minute, second and hour of the day. You might have a document that looks like this:
{"_id" : "512d35b0400fed3b997cd9c9" ,
"hour" : "Thu Mar 05 2013 10:00:00 GMT-0500 (EST)" ,
"site" : "abc" , "u" : 1 ,
"pageviews" : 1}
Having longer field names could end up taking up a lot of disk space over time, while using shorter field names with have a larger impact on your disk savings. Consider cutting down your field names like so:
{"_id" : "512d35b0400fed3b997cd9c9" ,
"h" : "Thu Mar 05 2013 10:00:00 GMT-0500 (EST)" ,
"s" : "abc" , "u" : 1 ,
"pv" : 1}
Depending on your document size, using shorter field names will have a tangible benefit to your application.
- Learn more about MongoDB for Analytics
Update: Here is a link to the two server tickets that are being worked on to optimize document storage at the database level.?
- SERVER-863
- SERVER-164
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