Datastore
The Datastore resource lets you manage AWS IoTAnalytics Datastores for storing and querying data from IoT devices.
Minimal Example
Section titled “Minimal Example”Create a basic IoTAnalytics Datastore with required properties and a retention period.
import AWS from "alchemy/aws/control";
const basicDatastore = await AWS.IoTAnalytics.Datastore("basicDatastore", { DatastoreName: "BasicDatastore", DatastoreStorage: { S3: { Bucket: "my-iot-analytics-bucket", KeyPrefix: "datastore/" } }, RetentionPeriod: { NumberOfDays: 30, Unlimited: false }});
Advanced Configuration
Section titled “Advanced Configuration”Configure an IoTAnalytics Datastore with file format settings and partitioning.
const advancedDatastore = await AWS.IoTAnalytics.Datastore("advancedDatastore", { DatastoreName: "AdvancedDatastore", DatastoreStorage: { S3: { Bucket: "my-iot-analytics-advanced-bucket", KeyPrefix: "advanced-datastore/" } }, FileFormatConfiguration: { Json: { Enable: true } }, DatastorePartitions: { Partitions: [ { Partition: { Attribute: "deviceId", Type: "STRING" } } ] }, RetentionPeriod: { NumberOfDays: 60, Unlimited: false }});
Using Tags
Section titled “Using Tags”Create a Datastore with tags for better resource management.
const taggedDatastore = await AWS.IoTAnalytics.Datastore("taggedDatastore", { DatastoreName: "TaggedDatastore", DatastoreStorage: { S3: { Bucket: "my-iot-analytics-tagged-bucket", KeyPrefix: "tagged-datastore/" } }, Tags: [ { Key: "Environment", Value: "Production" }, { Key: "Project", Value: "IoTAnalytics" } ]});
Adopting Existing Resources
Section titled “Adopting Existing Resources”Create a Datastore while adopting an existing resource if it already exists.
const adoptExistingDatastore = await AWS.IoTAnalytics.Datastore("adoptExistingDatastore", { DatastoreName: "ExistingDatastore", DatastoreStorage: { S3: { Bucket: "my-existing-bucket", KeyPrefix: "existing-datastore/" } }, adopt: true});