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Expire Data from Collections by Setting TTL¶
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This document provides an introduction to MongoDB’s “time to live”
or TTL collection feature. TTL collections make it possible to
store data in MongoDB and have the mongod
automatically
remove data after a specified number of seconds or at a specific clock
time.
Data expiration is useful for some classes of information, including machine generated event data, logs, and session information that only need to persist for a limited period of time.
A special TTL index property supports the
implementation of TTL collections. The TTL feature relies on a
background thread in mongod
that reads the date-typed values
in the index and removes expired documents from the
collection.
Procedures¶
To create a TTL index, use the
db.collection.createIndex()
method with the
expireAfterSeconds
option on a field whose value is either a
date or an array that contains
date values.
Note
The TTL index is a single field index. Compound indexes do not support the TTL property. For more information on TTL indexes, see TTL Indexes.
You can modify the expireAfterSeconds
of an existing TTL index
using the collMod
command.
Expire Documents after a Specified Number of Seconds¶
To expire data after a specified number of seconds has passed since the
indexed field, create a TTL index on a field that holds values of BSON
date type or an array of BSON date-typed objects and specify a
positive non-zero value in the expireAfterSeconds
field. A document
will expire when the number of seconds in the expireAfterSeconds
field has passed since the time specified in its indexed field.
[1]
For example, the following operation creates an index on the
log_events
collection’s createdAt
field and specifies the
expireAfterSeconds
value of 3600
to set the expiration time to
be one hour after the time specified by createdAt
.
db.log_events.createIndex( { "createdAt": 1 }, { expireAfterSeconds: 3600 } )
When adding documents to the log_events
collection, set the
createdAt
field to the current time:
db.log_events.insert( {
"createdAt": new Date(),
"logEvent": 2,
"logMessage": "Success!"
} )
MongoDB will automatically delete documents from the log_events
collection when the document’s createdAt
value
[1] is older than the number of seconds
specified in expireAfterSeconds
.
[1] | (1, 2) If the field contains an array of BSON
date-typed objects, data expires if at least one of BSON date-typed
object is older than the number of seconds specified in
expireAfterSeconds . |
See also
$currentDate
operator
Expire Documents at a Specific Clock Time¶
To expire documents at a specific clock time, begin by creating a TTL
index on a field that holds values of BSON date type or an array of
BSON date-typed objects and specify an expireAfterSeconds
value
of 0
. For each document in the collection, set the indexed date
field to a value corresponding to the time the document should expire.
If the indexed date field contains a date in the past, MongoDB
considers the document expired.
For example, the following operation creates an index on the
log_events
collection’s expireAt
field and specifies the
expireAfterSeconds
value of 0
:
db.log_events.createIndex( { "expireAt": 1 }, { expireAfterSeconds: 0 } )
For each document, set the value of expireAt
to correspond to the
time the document should expire. For instance, the following
insert()
operation adds a document that should
expire at July 22, 2013 14:00:00
.
db.log_events.insert( {
"expireAt": new Date('July 22, 2013 14:00:00'),
"logEvent": 2,
"logMessage": "Success!"
} )
MongoDB will automatically delete documents from the log_events
collection when the documents’ expireAt
value is older than the
number of seconds specified in expireAfterSeconds
, i.e. 0
seconds older in this case. As such, the data expires at the specified
expireAt
value.