Does MongoDB support TTL?

Does MongoDB support TTL?

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. A special TTL index property supports the implementation of TTL collections.

How do I delete old data in MongoDB?

If you need to delete many documents, consider using the mongo shell or a driver.

  1. Copy the following filter into the Compass query bar and click Find: copy. copied. { “status” : “A” }
  2. For each document, click the delete icon:
  3. The document will be “Flagged for Deletion”, click Delete to confirm.

How do I delete multiple records in MongoDB?

The MongoDB shell provides the following methods to delete documents from a collection:

  1. To delete multiple documents, use db. collection. deleteMany() .
  2. To delete a single document, use db. collection. deleteOne() .

How does TTL monitor work in MongoDB 2.2?

Working with MongoDB TTL (Time-To-Live) Index. MongoDB 2.2 or higher supports TTL (Time-To-Live) indexes. TTL Monitor is a separate thread that runs periodically (usually every minute) and scans a collection, that has a TTL index defined, for any expired documents and removes them in the background.

When to delete a TTL Index in MongoDB?

Because the duration of the removal operation depends on the workload of your mongod instance, expired data may exist for some time beyond the 60 second period between runs of the background task. On replica set members, the TTL background thread only deletes documents when a member is in state primary.

How to expire data from collections in MongoDB?

Expire Data from Collections by Setting TTL¶. 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.

How is the time to live calculated in MongoDB?

It also shows how many times the thread ran to process documents. Since, TTL sleep interval is 60 seconds, and total TTL passes since start is 24818, our server uptime should be around 24818*60 = 1489080 seconds But db.serverStatus ().uptime is 1490921 seconds. So out TTL interval counter lags by about 1841 seconds or 30 minutes.