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Time Series Collections

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  • Overview
  • Create a Time Series Collection
  • Query a Time Series Collection
  • Additional Information

In this guide, you can learn about time series collections in MongoDB, and how to interact with them in the MongoDB Go Driver.

Time series collections efficiently store sequences of measurements over a period of time. The collection consists of time series data with the following information:

  • Data collected over time
  • Metadata that describes the measurement
  • Date of the measurement
Example
Measurement
Metadata
Sales Data
Revenue
Company
Infection Rates
Amount of People Infected
Location
Important

Time series collections require MongoDB 5.0 or later.

To create a time series collection, pass the following parameters to the CreateCollection() method:

  • The name of the new collection to create
  • The TimeSeriesOptions object specifying at least the time field

The following example creates the spring_weather.march2022 time series collection with the temperature as the time field:

db := client.Database("spring_weather")
tso := options.TimeSeries().SetTimeField("temperature")
opts := options.CreateCollection().SetTimeSeriesOptions(tso)
db.CreateCollection(context.TODO(), "march2022", opts)

To check if you created the collection, send the "listCollections" command to the RunCommand() method:

Testing whether we created a time series collection.
command := bson.D{{"listCollections", 1}}
var result bson.M
commandErr := db.RunCommand(context.TODO(), command).Decode(&result)
if commandErr != nil {
panic(commandErr)
}
output, outputErr := json.MarshalIndent(result, "", " ")
if outputErr != nil {
panic(outputErr)
}
fmt.Printf("%s\n", output)

To query a time series collection, use the same conventions as you would for retrieving and aggregating data.

To learn more about the operations mentioned, see the following guides:

To learn more about any of the methods or types discussed in this guide, see the following API Documentation:

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