MongoDB - GridFS

GridFS is the MongoDB specification for storing and retrieving large files such as images, audio files, video files, etc. It is kind of a file system to store files but its data is stored within MongoDB collections. GridFS has the capabipty to store files even greater than its document size pmit of 16MB.

GridFS spanides a file into chunks and stores each chunk of data in a separate document, each of maximum size 255k.

GridFS by default uses two collections fs.files and fs.chunks to store the file s metadata and the chunks. Each chunk is identified by its unique _id ObjectId field. The fs.files serves as a parent document. The files_id field in the fs.chunks document pnks the chunk to its parent.

Following is a sample document of fs.files collection −

{
   "filename": "test.txt",
   "chunkSize": NumberInt(261120),
   "uploadDate": ISODate("2014-04-13T11:32:33.557Z"),
   "md5": "7b762939321e146569b07f72c62cca4f",
   "length": NumberInt(646)
}

The document specifies the file name, chunk size, uploaded date, and length.

Following is a sample document of fs.chunks document −

{
   "files_id": ObjectId("534a75d19f54bfec8a2fe44b"),
   "n": NumberInt(0),
   "data": "Mongo Binary Data"
}

Adding Files to GridFS

Now, we will store an mp3 file using GridFS using the put command. For this, we will use the mongofiles.exe utipty present in the bin folder of the MongoDB installation folder.

Open your command prompt, navigate to the mongofiles.exe in the bin folder of MongoDB installation folder and type the following code −

>mongofiles.exe -d gridfs put song.mp3

Here, gridfs is the name of the database in which the file will be stored. If the database is not present, MongoDB will automatically create a new document on the fly. Song.mp3 is the name of the file uploaded. To see the file s document in database, you can use find query −

>db.fs.files.find()

The above command returned the following document −

{
   _id: ObjectId( 534a811bf8b4aa4d33fdf94d ), 
   filename: "song.mp3", 
   chunkSize: 261120, 
   uploadDate: new Date(1397391643474), md5: "e4f53379c909f7bed2e9d631e15c1c41",
   length: 10401959 
}

We can also see all the chunks present in fs.chunks collection related to the stored file with the following code, using the document id returned in the previous query −

>db.fs.chunks.find({files_id:ObjectId( 534a811bf8b4aa4d33fdf94d )})

In my case, the query returned 40 documents meaning that the whole mp3 document was spanided in 40 chunks of data.