Azure eventhub ts
Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/sickn33/azure-eventhub-ts
🧠The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.
npx -y skills add ComeOnOliver/skillshub --skill azure-eventhub-tsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Build event streaming applications using Azure Event Hubs SDK for JavaScript (@azure/event-hubs). Use when implementing high-throughput event ingestion, real-time analytics, IoT telemetry, or event-driven architectures with partitioned consumers.
SKILL.md
7.0 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it
Azure Event Hubs SDK for TypeScript
High-throughput event streaming and real-time data ingestion.
Installation
npm install @azure/event-hubs @azure/identity
For checkpointing with consumer groups:
npm install @azure/eventhubs-checkpointstore-blob @azure/storage-blob
Environment Variables
EVENTHUB_NAMESPACE=<namespace>.servicebus.windows.net
EVENTHUB_NAME=my-eventhub
STORAGE_ACCOUNT_NAME=<storage-account>
STORAGE_CONTAINER_NAME=checkpoints
Authentication
import { EventHubProducerClient, EventHubConsumerClient } from "@azure/event-hubs";
import { DefaultAzureCredential } from "@azure/identity";
const fullyQualifiedNamespace = process.env.EVENTHUB_NAMESPACE!;
const eventHubName = process.env.EVENTHUB_NAME!;
const credential = new DefaultAzureCredential();
// Producer
const producer = new EventHubProducerClient(fullyQualifiedNamespace, eventHubName, credential);
// Consumer
const consumer = new EventHubConsumerClient(
"$Default", // Consumer group
fullyQualifiedNamespace,
eventHubName,
credential
);
Core Workflow
Send Events
const producer = new EventHubProducerClient(namespace, eventHubName, credential);
// Create batch and add events
const batch = await producer.createBatch();
batch.tryAdd({ body: { temperature: 72.5, deviceId: "sensor-1" } });
batch.tryAdd({ body: { temperature: 68.2, deviceId: "sensor-2" } });
await producer.sendBatch(batch);
await producer.close();
Send to Specific Partition
// By partition ID
const batch = await producer.createBatch({ partitionId: "0" });
// By partition key (consistent hashing)
const batch = await producer.createBatch({ partitionKey: "device-123" });
Receive Events (Simple)
const consumer = new EventHubConsumerClient("$Default", namespace, eventHubName, credential);
const subscription = consumer.subscribe({
processEvents: async (events, context) => {
for (const event of events) {
console.log(`Partition: ${context.partitionId}, Body: ${JSON.stringify(event.body)}`);
}
},
processError: async (err, context) => {
console.error(`Error on partition ${context.partitionId}: ${err.message}`);
},
});
// Stop after some time
setTimeout(async () => {
await subscription.close();
await consumer.close();
}, 60000);
Receive with Checkpointing (Production)
import { EventHubConsumerClient } from "@azure/event-hubs";
import { ContainerClient } from "@azure/storage-blob";
import { BlobCheckpointStore } from "@azure/eventhubs-checkpointstore-blob";
const containerClient = new ContainerClient(
`https://${storageAccount}.blob.core.windows.net/${containerName}`,
credential
);
const checkpointStore = new BlobCheckpointStore(containerClient);
const consumer = new EventHubConsumerClient(
"$Default",
namespace,
eventHubName,
credential,
checkpointStore
);
const subscription = consumer.subscribe({
processEvents: async (events, context) => {
for (const event of events) {
console.log(`Processing: ${JSON.stringify(event.body)}`);
}
// Checkpoint after processing batch
if (events.length > 0) {
await context.updateCheckpoint(events[events.length - 1]);
}
},
processError: async (err, context) => {
console.error(`Error: ${err.message}`);
},
});
Receive from Specific Position
const subscription = consumer.subscribe({
processEvents: async (events, context) => { /* ... */ },
processError: async (err, context) => { /* ... */ },
}, {
startPosition: {
// Start from beginning
"0": { offset: "@earliest" },
// Start from end (new events only)
"1": { offset: "@latest" },
// Start from specific offset
"2": { offset: "12345" },
// Start from specific time
"3": { enqueuedOn: new Date("2024-01-01") },
},
});
Event Hub Properties
// Get hub info
const hubProperties = await producer.getEventHubProperties();
console.log(`Partitions: ${hubProperties.partitionIds}`);
// Get partition info
const partitionProperties = await producer.getPartitionProperties("0");
console.log(`Last sequence: ${partitionProperties.lastEnqueuedSequenceNumber}`);
Batch Processing Options
const subscription = consumer.subscribe(
{
processEvents: async (events, context) => { /* ... */ },
processError: async (err, context) => { /* ... */ },
},
{
maxBatchSize: 100, // Max events per batch
maxWaitTimeInSeconds: 30, // Max wait for batch
}
);
Key Types
import {
EventHubProducerClient,
EventHubConsumerClient,
EventData,
ReceivedEventData,
PartitionContext,
Subscription,
SubscriptionEventHandlers,
CreateBatchOptions,
EventPosition,
} from "@azure/event-hubs";
import { BlobCheckpointStore } from "@azure/eventhubs-checkpointstore-blob";
Event Properties
// Send with properties
const batch = await producer.createBatch();
batch.tryAdd({
body: { data: "payload" },
properties: {
eventType: "telemetry",
deviceId: "sensor-1",
},
contentType: "application/json",
correlationId: "request-123",
});
// Access in receiver
consumer.subscribe({
processEvents: async (events, context) => {
for (const event of events) {
console.log(`Type: ${event.properties?.eventType}`);
console.log(`Sequence: ${event.sequenceNumber}`);
console.log(`Enqueued: ${event.enqueuedTimeUtc}`);
console.log(`Offset: ${event.offset}`);
}
},
});
Error Handling
consumer.subscribe({
processEvents: async (events, context) => {
try {
for (const event of events) {
await processEvent(event);
}
await context.updateCheckpoint(events[events.length - 1]);
} catch (error) {
// Don't checkpoint on error - events will be reprocessed
console.error("Processing failed:", error);
}
},
processError: async (err, context) => {
if (err.name === "MessagingError") {
// Transient error - SDK will retry
console.warn("Transient error:", err.message);
} else {
// Fatal error
console.error("Fatal error:", err);
}
},
});
Best Practices
- Use checkpointing - Always checkpoint in production for exactly-once processing
- Batch sends - Use
createBatch()for efficient sending - Partition keys - Use partition keys to ensure ordering for related events
- Consumer groups - Use separate consumer groups for different processing pipelines
- Handle errors gracefully - Don't checkpoint on processing failures
- Close clients - Always close producer/consumer when done
- Monitor lag - Track
lastEnqueuedSequenceNumbervs processed sequence
What ships with it
13.5 KB alongside SKILL.md
GitHub clipped this repository’s file list, so this is at least 1 file and may be more.
- skill-report.json13.5 KB