mongoDB文件太大查错纪录

-bash-3.2$ du -h
82M     ./log
3.1G    ./db/journal
4.0K    ./db/ciflogs/_tmp
4.0G    ./db/ciflogs
4.0K    ./db/local/_tmp
1.1G    ./db/local
4.0K    ./db/_tmp
8.1G    ./db
8.2G    .

Why are the files in my data directory larger than the data in my database?

Preallocated data files.

In the data directory, MongoDB preallocates data files to a particular size, in part to prevent file system fragmentation. MongoDB names the first data file <databasename>.0, the next <databasename>.1, etc. The first file mongodallocates is 64 megabytes, the next 128 megabytes, and so on, up to 2 gigabytes, at which point all subsequent files are 2 gigabytes. The data files include files with allocated space but that hold no data. mongod may allocate a 1 gigabyte data file that may be 90% empty. For most larger databases, unused allocated space is small compared to the database.

On Unix-like systems, mongod preallocates an additional data file and initializes the disk space to 0. Preallocating data files in the background prevents significant delays when a new database file is next allocated.

You can disable preallocation with the noprealloc run time option. However noprealloc is not intended for use in production environments: only use noprealloc for testing and with small data sets where you frequently drop databases.

On Linux systems you can use hdparm to get an idea of how costly allocation might be:

time hdparm --fallocate $((1024*1024)) testfile

The oplog.

If this mongod is a member of a replica set, the data directory includes the oplog.rs file, which is a preallocated capped collection in the local database. The default allocation is approximately 5% of disk space on 64-bit installations, seeOplog Sizing for more information. In most cases, you should not need to resize the oplog. However, if you do, seeChange the Size of the Oplog.

The journal.

The data directory contains the journal files, which store write operations on disk prior to MongoDB applying them to databases. See Journaling Mechanics.

Empty records.

MongoDB maintains lists of empty records in data files when deleting documents and collections. MongoDB can reuse this space, but will never return this space to the operating system.

To de-fragment allocated storage, use compact, which de-fragments allocated space. By de-fragmenting storage, MongoDB can effectively use the allocated space. compact requires up to 2 gigabytes of extra disk space to run. Do not use compact if you are critically low on disk space.

Important

compact only removes fragmentation from MongoDB data files and does not return any disk space to the operating system.

http://docs.mongodb.org/manual/faq/storage/

Journal Files

With journaling enabled, MongoDB creates a journal directory within the directory defined by dbpath, which is /data/db by default. The journal directory holds journal files, which contain write-ahead redo logs. The directory also holds a last-sequence-number file. A clean shutdown removes all the files in the journal directory.

Journal files are append-only files and have file names prefixed with j._. When a journal file holds 1 gigabyte of data, MongoDB creates a new journal file. Once MongoDB applies all the write operations in the journal files, it deletes these files. Unless you write many bytes of data per-second, the journal directory should contain only two or three journal files.

To limit the size of each journal file to 128 megabytes, use the smallfiles run time option when starting mongod.

To speed the frequent sequential writes that occur to the current journal file, you can ensure that the journal directory is on a different filesystem.

Important

If you place the journal on a different filesystem from your data files you cannot use a filesystem snapshot alone to capture valid backups of a dbpath directory. In this case, use fsyncLock() to ensure that database files are consistent before the snapshot and fsyncUnlock() once the snapshot is complete.

Note

Depending on your filesystem, you might experience a preallocation lag the first time you start a mongod instance with journaling enabled.
MongoDB may preallocate journal files if the mongod process determines that it is more efficient to preallocate journal files than create new journal files as needed. The amount of time required to pre-allocate lag might last several minutes, during which you will not be able to connect to the database. This is a one-time preallocation and does not occur with future invocations.

http://docs.mongodb.org/manual/core/journaling/