Pipeline ​
The Pipeline resource lets you create and manage AWS IoTAnalytics Pipelines for processing and analyzing IoT data streams.
Minimal Example ​
Create a basic IoTAnalytics Pipeline with a name and a single activity.
ts
import AWS from "alchemy/aws/control";
const minimalPipeline = await AWS.IoTAnalytics.Pipeline("basicPipeline", {
PipelineName: "BasicPipeline",
PipelineActivities: [
{
Channel: {
ChannelName: "myChannel",
Next: "myActivity"
}
}
],
Tags: [
{
Key: "Environment",
Value: "Development"
}
]
});
Advanced Configuration ​
Configure a pipeline with multiple activities and more advanced settings like tags.
ts
const advancedPipeline = await AWS.IoTAnalytics.Pipeline("advancedPipeline", {
PipelineName: "AdvancedPipeline",
PipelineActivities: [
{
Channel: {
ChannelName: "myChannel",
Next: "dataProcessingActivity"
}
},
{
Math: {
Name: "calculateAverage",
Attribute: "temperature",
Next: "storeInDatastore"
}
},
{
Datastore: {
DatastoreName: "myDatastore",
Next: null
}
}
],
Tags: [
{
Key: "Project",
Value: "IoTAnalytics"
},
{
Key: "Owner",
Value: "DataTeam"
}
]
});
Real-time Data Processing ​
Set up a pipeline for real-time data processing with a filtering activity.
ts
const realTimePipeline = await AWS.IoTAnalytics.Pipeline("realTimePipeline", {
PipelineName: "RealTimeDataProcessing",
PipelineActivities: [
{
Filter: {
Name: "filterTemperature",
Filter: "temperature > 20",
Next: "storeFilteredData"
}
},
{
Datastore: {
DatastoreName: "filteredDataStore",
Next: null
}
}
]
});
Complex Data Transformation ​
Create a pipeline that includes multiple transformation activities for complex data handling.
ts
const complexPipeline = await AWS.IoTAnalytics.Pipeline("complexPipeline", {
PipelineName: "ComplexDataTransformation",
PipelineActivities: [
{
Math: {
Name: "calculateHumidityIndex",
Attribute: "humidity",
Next: "aggregateData"
}
},
{
Aggregate: {
Name: "aggregateTemperature",
Attribute: "temperature",
AggregationType: "AVG",
Next: null
}
}
]
});