azure-eventhub-py
microsoft/skills
Capture e processe fluxos de eventos de alto rendimento usando o SDK do Azure Event Hubs para Python, com suporte a produtores, consumidores e pontos de verificação.
...Expandir tudoSDK do Azure Event Hubs para Python
Plataforma de streaming de big data para captação de eventos de alto rendimento.
Instalação
pip install azure-eventhub azure-identity
# For checkpointing with blob storage
pip install azure-eventhub-checkpointstoreblob-aio
Variáveis de ambiente
EVENT_HUB_FULLY_QUALIFIED_NAMESPACE=.servicebus.windows.net # Required for all auth methods
EVENT_HUB_NAME=my-eventhub # Required for all auth methods
STORAGE_ACCOUNT_URL=https://.blob.core.windows.net # Required for checkpoint storage
CHECKPOINT_CONTAINER=checkpoints # Required for checkpoint storage
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Autenticação e ciclo de vida
🔑 Duas regras se aplicam a todos os exemplos de código abaixo:
- Dê preferência ao
DefaultAzureCredential. Ele funciona localmente (Azure CLI / VS Code / Developer CLI) e no Azure (identidade gerenciada, identidade de carga de trabalho) sem alteração de código. Evite cadeias de conexão, contas e chaves de API — elas contornam a auditoria e a rotação do Entra.
- Desenvolvimento local:
DefaultAzureCredentialfunciona como está.- Produção: defina
AZURE_TOKEN_CREDENTIALS=prod(ouAZURE_TOKEN_CREDENTIALS=) para restringir a cadeia de credenciais a credenciais seguras para produção.- Envolva cada cliente em um gerenciador de contexto para que transportes HTTP, soquetes e caches de tokens sejam liberados de forma determinística:
- Sincronizado:
with(...) as client: - Assíncrono:
async withe(...) as client: async with DefaultAzureCredential() as credential:(deazure.identity.aio)Os trechos de código podem simplificar essa configuração, mas o código de produção deve sempre seguir ambas as regras.
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.eventhub import EventHubProducerClient, EventHubConsumerClient
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
namespace = ".servicebus.windows.net"
eventhub_name = "my-eventhub"
# Producer
with EventHubProducerClient(
fully_qualified_namespace=namespace,
eventhub_name=eventhub_name,
credential=credential
) as producer:
# Use producer here (see following sections for operations)
...
# Consumer
with EventHubConsumerClient(
fully_qualified_namespace=namespace,
eventhub_name=eventhub_name,
consumer_group="$Default",
credential=credential
) as consumer:
# Use consumer here (see following sections for operations)
...
Tipos de clientes
| Cliente | Finalidade |
|---|---|
EventHubProducerClient |
Enviar eventos para o Event Hub |
EventHubConsumerClient |
Receber eventos do Event Hub |
BlobCheckpointStore |
Acompanhar o andamento do consumidor |
Enviar eventos
from azure.eventhub import EventHubProducerClient, EventData
from azure.identity import DefaultAzureCredential
with EventHubProducerClient(
fully_qualified_namespace=".servicebus.windows.net",
eventhub_name="my-eventhub",
credential=DefaultAzureCredential()
) as producer:
# Create batch (handles size limits)
event_data_batch = producer.create_batch()
for i in range(10):
try:
event_data_batch.add(EventData(f"Event {i}"))
except ValueError:
# Batch is full, send and create new one
producer.send_batch(event_data_batch)
event_data_batch = producer.create_batch()
event_data_batch.add(EventData(f"Event {i}"))
# Send remaining
producer.send_batch(event_data_batch)
Enviar para uma partição específica
# By partition ID
event_data_batch = producer.create_batch(partition_id="0")
# By partition key (consistent hashing)
event_data_batch = producer.create_batch(partition_key="user-123")
Receber eventos
Recebimento simples
from azure.eventhub import EventHubConsumerClient
def on_event(partition_context, event):
print(f"Partition: {partition_context.partition_id}")
print(f"Data: {event.body_as_str()}")
partition_context.update_checkpoint(event)
with EventHubConsumerClient(
fully_qualified_namespace=".servicebus.windows.net",
eventhub_name="my-eventhub",
consumer_group="$Default",
credential=DefaultAzureCredential()
) as consumer:
consumer.receive(
starting_position="-1", # Beginning of stream
)
Com o Blob Checkpoint Store (Produção)
from azure.eventhub import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblob import BlobCheckpointStore
from azure.identity import DefaultAzureCredential
checkpoint_store = BlobCheckpointStore(
blob_account_url="https://.blob.core.windows.net",
container_name="checkpoints",
credential=DefaultAzureCredential()
)
with EventHubConsumerClient(
fully_qualified_namespace=".servicebus.windows.net",
eventhub_name="my-eventhub",
consumer_group="$Default",
credential=DefaultAzureCredential(),
checkpoint_store=checkpoint_store
) as consumer:
def on_event(partition_context, event):
print(f"Received: {event.body_as_str()}")
# Checkpoint after processing
partition_context.update_checkpoint(event)
consumer.receive(on_event=on_event)
Cliente assíncrono
from azure.eventhub.aio import EventHubProducerClient, EventHubConsumerClient
from azure.identity.aio import DefaultAzureCredential
import asyncio
async def send_events():
credential = DefaultAzureCredential()
async with EventHubProducerClient(
fully_qualified_namespace=".servicebus.windows.net",
eventhub_name="my-eventhub",
credential=credential
) as producer:
batch = await producer.create_batch()
batch.add(EventData("Async event"))
await producer.send_batch(batch)
async def receive_events():
async def on_event(partition_context, event):
print(event.body_as_str())
await partition_context.update_checkpoint(event)
async with EventHubConsumerClient(
fully_qualified_namespace=".servicebus.windows.net",
eventhub_name="my-eventhub",
consumer_group="$Default",
credential=DefaultAzureCredential()
) as consumer:
await consumer.receive(on_event=on_event)
asyncio.run(send_events())
Propriedades do evento
event = EventData("My event body")
# Set properties
event.properties = {"custom_property": "value"}
event.content_type = "application/json"
# Read properties (on receive)
print(event.body_as_str())
print(event.sequence_number)
print(event.offset)
print(event.enqueued_time)
print(event.partition_key)
Obter informações do Event Hub
with producer:
info = producer.get_eventhub_properties()
print(f"Name: {info['name']}")
print(f"Partitions: {info['partition_ids']}")
for partition_id in info['partition_ids']:
partition_info = producer.get_partition_properties(partition_id)
print(f"Partition {partition_id}: {partition_info['last_enqueued_sequence_number']}")
Práticas recomendadas
- Escolha entre sincronização OU assincronia e mantenha a consistência. Não misture
azure.xxxclientes síncronos comazure.xxx.aioclientes assíncronos no mesmo caminho de chamada. Escolha um modo por módulo. - Sempre use gerenciadores de contexto para clientes e credenciais assíncronas. Envolva cada cliente em
with Client(...) as client:(sincrônico) ouasync with Client(...) as client:(assíncrono) para uma limpeza adequada. Para o assíncronoDefaultAzureCredentialdeazure.identity.aio, use tambémasync with credential:para que os tokens e os transportes sejam limpos. - Use
DefaultAzureCredentialpara autenticação portátil entre o ambiente de desenvolvimento local e o Azure (evite strings de conexão/chaves de API sempre que possível). - Use lotes para enviar vários eventos
- Use o armazenamento de pontos de verificação em produção para um processamento confiável
- Use o cliente assíncrono para cenários de alta taxa de transferência
- Use chaves de partição para entrega ordenada dentro de uma partição
- Lide com limites de tamanho de lote — capture ValueError quando o lote estiver cheio
- Defina grupos de consumidores adequados para diferentes aplicativos
Arquivos de referência
| Arquivo | Conteúdo |
|---|---|
| references/checkpointing.md | Padrões de armazenamento de checkpoints, checkpoints de blobs, estratégias de checkpoints |
| references/partitions.md | Gerenciamento de partições, balanceamento de carga, posições iniciais |
| scripts/setup_consumer.py | CLI para informações do Event Hub, configuração do consumidor e envio/recebimento de eventos |
---
name: azure-eventhub-py
description: Ingest and process high-throughput event streams using Azure Event Hubs SDK for Python, with support for producers, consumers, and checkpointing.
license: MIT
---
# Azure Event Hubs SDK for Python
Big data streaming platform for high-throughput event ingestion.
## Installation
```bash
pip install azure-eventhub azure-identity
# For checkpointing with blob storage
pip install azure-eventhub-checkpointstoreblob-aio
```
## Environment Variables
```bash
EVENT_HUB_FULLY_QUALIFIED_NAMESPACE=<namespace>.servicebus.windows.net # Required for all auth methods
EVENT_HUB_NAME=my-eventhub # Required for all auth methods
STORAGE_ACCOUNT_URL=https://<account>.blob.core.windows.net # Required for checkpoint storage
CHECKPOINT_CONTAINER=checkpoints # Required for checkpoint storage
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
```
## Authentication & Lifecycle
> **🔑 Two rules apply to every code sample below:**
>
> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
> - Local dev: `DefaultAzureCredential` works as-is.
> - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=<specific_credential>`) to constrain the credential chain to production-safe credentials.
> 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:
> - Sync: `with <Client>(...) as client:`
> - Async: `async with <Client>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)
>
> Snippets may abbreviate this setup, but production code should always follow both rules.
```python
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.eventhub import EventHubProducerClient, EventHubConsumerClient
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
namespace = "<namespace>.servicebus.windows.net"
eventhub_name = "my-eventhub"
# Producer
with EventHubProducerClient(
fully_qualified_namespace=namespace,
eventhub_name=eventhub_name,
credential=credential
) as producer:
# Use producer here (see following sections for operations)
...
# Consumer
with EventHubConsumerClient(
fully_qualified_namespace=namespace,
eventhub_name=eventhub_name,
consumer_group="$Default",
credential=credential
) as consumer:
# Use consumer here (see following sections for operations)
...
```
## Client Types
| Client | Purpose |
|--------|---------|
| `EventHubProducerClient` | Send events to Event Hub |
| `EventHubConsumerClient` | Receive events from Event Hub |
| `BlobCheckpointStore` | Track consumer progress |
## Send Events
```python
from azure.eventhub import EventHubProducerClient, EventData
from azure.identity import DefaultAzureCredential
with EventHubProducerClient(
fully_qualified_namespace="<namespace>.servicebus.windows.net",
eventhub_name="my-eventhub",
credential=DefaultAzureCredential()
) as producer:
# Create batch (handles size limits)
event_data_batch = producer.create_batch()
for i in range(10):
try:
event_data_batch.add(EventData(f"Event {i}"))
except ValueError:
# Batch is full, send and create new one
producer.send_batch(event_data_batch)
event_data_batch = producer.create_batch()
event_data_batch.add(EventData(f"Event {i}"))
# Send remaining
producer.send_batch(event_data_batch)
```
### Send to Specific Partition
```python
# By partition ID
event_data_batch = producer.create_batch(partition_id="0")
# By partition key (consistent hashing)
event_data_batch = producer.create_batch(partition_key="user-123")
```
## Receive Events
### Simple Receive
```python
from azure.eventhub import EventHubConsumerClient
def on_event(partition_context, event):
print(f"Partition: {partition_context.partition_id}")
print(f"Data: {event.body_as_str()}")
partition_context.update_checkpoint(event)
with EventHubConsumerClient(
fully_qualified_namespace="<namespace>.servicebus.windows.net",
eventhub_name="my-eventhub",
consumer_group="$Default",
credential=DefaultAzureCredential()
) as consumer:
consumer.receive(
on_event=on_event,
starting_position="-1", # Beginning of stream
)
```
### With Blob Checkpoint Store (Production)
```python
from azure.eventhub import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblob import BlobCheckpointStore
from azure.identity import DefaultAzureCredential
checkpoint_store = BlobCheckpointStore(
blob_account_url="https://<account>.blob.core.windows.net",
container_name="checkpoints",
credential=DefaultAzureCredential()
)
with EventHubConsumerClient(
fully_qualified_namespace="<namespace>.servicebus.windows.net",
eventhub_name="my-eventhub",
consumer_group="$Default",
credential=DefaultAzureCredential(),
checkpoint_store=checkpoint_store
) as consumer:
def on_event(partition_context, event):
print(f"Received: {event.body_as_str()}")
# Checkpoint after processing
partition_context.update_checkpoint(event)
consumer.receive(on_event=on_event)
```
## Async Client
```python
from azure.eventhub.aio import EventHubProducerClient, EventHubConsumerClient
from azure.identity.aio import DefaultAzureCredential
import asyncio
async def send_events():
credential = DefaultAzureCredential()
async with EventHubProducerClient(
fully_qualified_namespace="<namespace>.servicebus.windows.net",
eventhub_name="my-eventhub",
credential=credential
) as producer:
batch = await producer.create_batch()
batch.add(EventData("Async event"))
await producer.send_batch(batch)
async def receive_events():
async def on_event(partition_context, event):
print(event.body_as_str())
await partition_context.update_checkpoint(event)
async with EventHubConsumerClient(
fully_qualified_namespace="<namespace>.servicebus.windows.net",
eventhub_name="my-eventhub",
consumer_group="$Default",
credential=DefaultAzureCredential()
) as consumer:
await consumer.receive(on_event=on_event)
asyncio.run(send_events())
```
## Event Properties
```python
event = EventData("My event body")
# Set properties
event.properties = {"custom_property": "value"}
event.content_type = "application/json"
# Read properties (on receive)
print(event.body_as_str())
print(event.sequence_number)
print(event.offset)
print(event.enqueued_time)
print(event.partition_key)
```
## Get Event Hub Info
```python
with producer:
info = producer.get_eventhub_properties()
print(f"Name: {info['name']}")
print(f"Partitions: {info['partition_ids']}")
for partition_id in info['partition_ids']:
partition_info = producer.get_partition_properties(partition_id)
print(f"Partition {partition_id}: {partition_info['last_enqueued_sequence_number']}")
```
## Best Practices
1. **Pick sync OR async and stay consistent.** Do not mix `azure.xxx` sync clients with `azure.xxx.aio` async clients in the same call path. Choose one mode per module.
2. **Always use context managers for clients and async credentials.** Wrap every client in `with Client(...) as client:` (sync) or `async with Client(...) as client:` (async) for proper cleanup. For async `DefaultAzureCredential` from `azure.identity.aio`, also use `async with credential:` so tokens and transports are cleaned up.
3. **Use `DefaultAzureCredential`** for portable auth across local dev and Azure (avoid connection strings / API keys when possible).
4. **Use batches** for sending multiple events
5. **Use checkpoint store** in production for reliable processing
6. **Use async client** for high-throughput scenarios
7. **Use partition keys** for ordered delivery within a partition
8. **Handle batch size limits** — catch ValueError when batch is full
9. **Set appropriate consumer groups** for different applications
## Reference Files
| File | Contents |
|------|----------|
| [references/checkpointing.md](references/checkpointing.md) | Checkpoint store patterns, blob checkpointing, checkpoint strategies |
| [references/partitions.md](references/partitions.md) | Partition management, load balancing, starting positions |
| [scripts/setup_consumer.py](scripts/setup_consumer.py) | CLI for Event Hub info, consumer setup, and event sending/receiving |
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