azure-eventgrid-java
Build event-driven applications with Azure Event Grid SDK for Java. Use when publishing events, implementing pub/sub patterns, or integrating with Azure services via events.
What this skill does
# Azure Event Grid SDK for Java
Build event-driven applications using the Azure Event Grid SDK for Java.
## Installation
```xml
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-messaging-eventgrid</artifactId>
<version>4.27.0</version>
</dependency>
```
## Client Creation
### EventGridPublisherClient
```java
import com.azure.messaging.eventgrid.EventGridPublisherClient;
import com.azure.messaging.eventgrid.EventGridPublisherClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
// With API Key
EventGridPublisherClient<EventGridEvent> client = new EventGridPublisherClientBuilder()
.endpoint("<topic-endpoint>")
.credential(new AzureKeyCredential("<access-key>"))
.buildEventGridEventPublisherClient();
// For CloudEvents
EventGridPublisherClient<CloudEvent> cloudClient = new EventGridPublisherClientBuilder()
.endpoint("<topic-endpoint>")
.credential(new AzureKeyCredential("<access-key>"))
.buildCloudEventPublisherClient();
```
### With DefaultAzureCredential
```java
import com.azure.identity.DefaultAzureCredentialBuilder;
EventGridPublisherClient<EventGridEvent> client = new EventGridPublisherClientBuilder()
.endpoint("<topic-endpoint>")
.credential(new DefaultAzureCredentialBuilder().build())
.buildEventGridEventPublisherClient();
```
### Async Client
```java
import com.azure.messaging.eventgrid.EventGridPublisherAsyncClient;
EventGridPublisherAsyncClient<EventGridEvent> asyncClient = new EventGridPublisherClientBuilder()
.endpoint("<topic-endpoint>")
.credential(new AzureKeyCredential("<access-key>"))
.buildEventGridEventPublisherAsyncClient();
```
## Event Types
| Type | Description |
|------|-------------|
| `EventGridEvent` | Azure Event Grid native schema |
| `CloudEvent` | CNCF CloudEvents 1.0 specification |
| `BinaryData` | Custom schema events |
## Core Patterns
### Publish EventGridEvent
```java
import com.azure.messaging.eventgrid.EventGridEvent;
import com.azure.core.util.BinaryData;
EventGridEvent event = new EventGridEvent(
"resource/path", // subject
"MyApp.Events.OrderCreated", // eventType
BinaryData.fromObject(new OrderData("order-123", 99.99)), // data
"1.0" // dataVersion
);
client.sendEvent(event);
```
### Publish Multiple Events
```java
List<EventGridEvent> events = Arrays.asList(
new EventGridEvent("orders/1", "Order.Created",
BinaryData.fromObject(order1), "1.0"),
new EventGridEvent("orders/2", "Order.Created",
BinaryData.fromObject(order2), "1.0")
);
client.sendEvents(events);
```
### Publish CloudEvent
```java
import com.azure.core.models.CloudEvent;
import com.azure.core.models.CloudEventDataFormat;
CloudEvent cloudEvent = new CloudEvent(
"/myapp/orders", // source
"order.created", // type
BinaryData.fromObject(orderData), // data
CloudEventDataFormat.JSON // dataFormat
);
cloudEvent.setSubject("orders/12345");
cloudEvent.setId(UUID.randomUUID().toString());
cloudClient.sendEvent(cloudEvent);
```
### Publish CloudEvents Batch
```java
List<CloudEvent> cloudEvents = Arrays.asList(
new CloudEvent("/app", "event.type1", BinaryData.fromString("data1"), CloudEventDataFormat.JSON),
new CloudEvent("/app", "event.type2", BinaryData.fromString("data2"), CloudEventDataFormat.JSON)
);
cloudClient.sendEvents(cloudEvents);
```
### Async Publishing
```java
asyncClient.sendEvent(event)
.subscribe(
unused -> System.out.println("Event sent successfully"),
error -> System.err.println("Error: " + error.getMessage())
);
// With multiple events
asyncClient.sendEvents(events)
.doOnSuccess(unused -> System.out.println("All events sent"))
.doOnError(error -> System.err.println("Failed: " + error))
.block(); // Block if needed
```
### Custom Event Data Class
```java
public class OrderData {
private String orderId;
private double amount;
private String customerId;
public OrderData(String orderId, double amount) {
this.orderId = orderId;
this.amount = amount;
}
// Getters and setters
}
// Usage
OrderData order = new OrderData("ORD-123", 150.00);
EventGridEvent event = new EventGridEvent(
"orders/" + order.getOrderId(),
"MyApp.Order.Created",
BinaryData.fromObject(order),
"1.0"
);
```
## Receiving Events
### Parse EventGridEvent
```java
import com.azure.messaging.eventgrid.EventGridEvent;
// From JSON string (e.g., webhook payload)
String jsonPayload = "[{\"id\": \"...\", ...}]";
List<EventGridEvent> events = EventGridEvent.fromString(jsonPayload);
for (EventGridEvent event : events) {
System.out.println("Event Type: " + event.getEventType());
System.out.println("Subject: " + event.getSubject());
System.out.println("Event Time: " + event.getEventTime());
// Get data
BinaryData data = event.getData();
OrderData orderData = data.toObject(OrderData.class);
}
```
### Parse CloudEvent
```java
import com.azure.core.models.CloudEvent;
String cloudEventJson = "[{\"specversion\": \"1.0\", ...}]";
List<CloudEvent> cloudEvents = CloudEvent.fromString(cloudEventJson);
for (CloudEvent event : cloudEvents) {
System.out.println("Type: " + event.getType());
System.out.println("Source: " + event.getSource());
System.out.println("ID: " + event.getId());
MyEventData data = event.getData().toObject(MyEventData.class);
}
```
### Handle System Events
```java
import com.azure.messaging.eventgrid.systemevents.*;
for (EventGridEvent event : events) {
if (event.getEventType().equals("Microsoft.Storage.BlobCreated")) {
StorageBlobCreatedEventData blobData =
event.getData().toObject(StorageBlobCreatedEventData.class);
System.out.println("Blob URL: " + blobData.getUrl());
}
}
```
## Event Grid Namespaces (MQTT/Pull)
### Receive from Namespace Topic
```java
import com.azure.messaging.eventgrid.namespaces.EventGridReceiverClient;
import com.azure.messaging.eventgrid.namespaces.EventGridReceiverClientBuilder;
import com.azure.messaging.eventgrid.namespaces.models.*;
EventGridReceiverClient receiverClient = new EventGridReceiverClientBuilder()
.endpoint("<namespace-endpoint>")
.credential(new AzureKeyCredential("<key>"))
.topicName("my-topic")
.subscriptionName("my-subscription")
.buildClient();
// Receive events
ReceiveResult result = receiverClient.receive(10, Duration.ofSeconds(30));
for (ReceiveDetails detail : result.getValue()) {
CloudEvent event = detail.getEvent();
System.out.println("Event: " + event.getType());
// Acknowledge the event
receiverClient.acknowledge(Arrays.asList(detail.getBrokerProperties().getLockToken()));
}
```
### Reject or Release Events
```java
// Reject (don't retry)
receiverClient.reject(Arrays.asList(lockToken));
// Release (retry later)
receiverClient.release(Arrays.asList(lockToken));
// Release with delay
receiverClient.release(Arrays.asList(lockToken),
new ReleaseOptions().setDelay(ReleaseDelay.BY_60_SECONDS));
```
## Error Handling
```java
import com.azure.core.exception.HttpResponseException;
try {
client.sendEvent(event);
} catch (HttpResponseException e) {
System.out.println("Status: " + e.getResponse().getStatusCode());
System.out.println("Error: " + e.getMessage());
}
```
## Environment Variables
```bash
EVENT_GRID_TOPIC_ENDPOINT=https://<topic-name>.<region>.eventgrid.azure.net/api/events
EVENT_GRID_ACCESS_KEY=<your-access-key>
```
## Best Practices
1. **Batch Events**: Send multiple events in one call when possible
2. **Idempotency**: Include unique event IDs for deduplication
3. **Schema Validation**: Use strongly-typed event data classes
4. **Retry Logic**: Built-in, but consider dead-letter for failures
5. **Event Size**: Keep events under 1MB (64KB for basic tier)
## Trigger Phrases
- "Event Grid Java"
- "publish events Azure"
- Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.