azure-eventhub 5.1.0

Microsoft Azure Event Hubs Client Library for Python

Azure Event Hubs client library for Python

Azure Event Hubs is a highly scalable publish-subscribe service that can ingest millions of events per second and stream them to multiple consumers. This lets you process and analyze the massive amounts of data produced by your connected devices and applications. Once Event Hubs has collected the data, you can retrieve, transform, and store it by using any real-time analytics provider or with batching/storage adapters. If you would like to know more about Azure Event Hubs, you may wish to review: What is Event Hubs?

The Azure Event Hubs client library allows for publishing and consuming of Azure Event Hubs events and may be used to:

• Emit telemetry about your application for business intelligence and diagnostic purposes.
• Publish facts about the state of your application which interested parties may observe and use as a trigger for taking action.
• Observe interesting operations and interactions happening within your business or other ecosystem, allowing loosely coupled systems to interact without the need to bind them together.
• Receive events from one or more publishers, transform them to better meet the needs of your ecosystem, then publish the transformed events to a new stream for consumers to observe.

Source code | Package (PyPi) | API reference documentation | Product documentation | Samples

Getting started

Prerequisites

• Python 2.7, 3.5.3 or later.

• Microsoft Azure Subscription: To use Azure services, including Azure Event Hubs, you'll need a subscription. If you do not have an existing Azure account, you may sign up for a free trial or use your MSDN subscriber benefits when you create an account.

• Event Hubs namespace with an Event Hub: To interact with Azure Event Hubs, you'll also need to have a namespace and Event Hub available. If you are not familiar with creating Azure resources, you may wish to follow the step-by-step guide for creating an Event Hub using the Azure portal. There, you can also find detailed instructions for using the Azure CLI, Azure PowerShell, or Azure Resource Manager (ARM) templates to create an Event Hub.

Install the package

Install the Azure Event Hubs client library for Python with pip:

$ pip install azure-eventhub

Authenticate the client

Interaction with Event Hubs starts with an instance of EventHubConsumerClient or EventHubProducerClient class. You need either the host name, SAS/AAD credential and event hub name or a connection string to instantiate the client object.

Create client from connection string:

For the Event Hubs client library to interact with an Event Hub, the easiest means is to use a connection string, which is created automatically when creating an Event Hubs namespace. If you aren't familiar with shared access policies in Azure, you may wish to follow the step-by-step guide to get an Event Hubs connection string.

from azure.eventhub import EventHubConsumerClient, EventHubProducerClient

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
producer_client = EventHubProducerClient.from_connection_string(connection_str, eventhub_name=eventhub_name)
consumer_client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group, eventhub_name=eventhub_name)

• The from_connection_string method takes the connection string of the form Endpoint=sb://<yournamespace>.servicebus.windows.net/;SharedAccessKeyName=<yoursharedaccesskeyname>;SharedAccessKey=<yoursharedaccesskey> and entity name to your Event Hub instance. You can get the connection string from the Azure portal.

Create client using the azure-identity library:

from azure.eventhub import EventHubConsumerClient
from azure.identity import DefaultAzureCredential

credential = DefaultAzureCredential()

fully_qualified_namespace = '<< HOSTNAME OF THE EVENT HUB >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
consumer_group = '<< CONSUMER GROUP >>'
consumer_client = EventHubConsumerClient(fully_qualified_namespace, eventhub_name, consumer_group, credential)

• This constructor takes the host name and entity name of your Event Hub instance and credential that implements the TokenCredential protocol. There are implementations of the TokenCredential protocol available in the azure-identity package. The host name is of the format <yournamespace.servicebus.windows.net>.
• When using Azure Active Directory, your principal must be assigned a role which allows access to Event Hubs, such as the Azure Event Hubs Data Owner role. For more information about using Azure Active Directory authorization with Event Hubs, please refer to the associated documentation.

Key concepts

• An EventHubProducerClient is a source of telemetry data, diagnostics information, usage logs, or other log data, as part of an embedded device solution, a mobile device application, a game title running on a console or other device, some client or server based business solution, or a web site.

• An EventHubConsumerClient picks up such information from the Event Hub and processes it. Processing may involve aggregation, complex computation, and filtering. Processing may also involve distribution or storage of the information in a raw or transformed fashion. Event Hub consumers are often robust and high-scale platform infrastructure parts with built-in analytics capabilities, like Azure Stream Analytics, Apache Spark, or Apache Storm.

• A partition is an ordered sequence of events that is held in an Event Hub. Azure Event Hubs provides message streaming through a partitioned consumer pattern in which each consumer only reads a specific subset, or partition, of the message stream. As newer events arrive, they are added to the end of this sequence. The number of partitions is specified at the time an Event Hub is created and cannot be changed.

• A consumer group is a view of an entire Event Hub. Consumer groups enable multiple consuming applications to each have a separate view of the event stream, and to read the stream independently at their own pace and from their own position. There can be at most 5 concurrent readers on a partition per consumer group; however it is recommended that there is only one active consumer for a given partition and consumer group pairing. Each active reader receives all of the events from its partition; if there are multiple readers on the same partition, then they will receive duplicate events.

For more concepts and deeper discussion, see: Event Hubs Features. Also, the concepts for AMQP are well documented in OASIS Advanced Messaging Queuing Protocol (AMQP) Version 1.0.

Examples

The following sections provide several code snippets covering some of the most common Event Hubs tasks, including:

• Inspect an Event Hub
• Publish events to an Event Hub
• Consume events from an Event Hub
• Consume events from an Event Hub in batches
• Publish events to an Event Hub asynchronously
• Consume events from an Event Hub asynchronously
• Consume events from an Event Hub in batches asynchronously
• Consume events and save checkpoints using a checkpoint store
• Use EventHubConsumerClient to work with IoT Hub

Inspect an Event Hub

Get the partition ids of an Event Hub.

from azure.eventhub import EventHubConsumerClient

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group, eventhub_name=eventhub_name)
partition_ids = client.get_partition_ids()

Publish events to an Event Hub

Use the create_batch method on EventHubProducerClient to create an EventDataBatch object which can then be sent using the send_batch method. Events may be added to the EventDataBatch using the add method until the maximum batch size limit in bytes has been reached.

from azure.eventhub import EventHubProducerClient, EventData

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
client = EventHubProducerClient.from_connection_string(connection_str, eventhub_name=eventhub_name)

event_data_batch = client.create_batch()
can_add = True
while can_add:
    try:
        event_data_batch.add(EventData('Message inside EventBatchData'))
    except ValueError:
        can_add = False  # EventDataBatch object reaches max_size.

with client:
    client.send_batch(event_data_batch)

Consume events from an Event Hub

import logging
from azure.eventhub import EventHubConsumerClient

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group, eventhub_name=eventhub_name)

logger = logging.getLogger("azure.eventhub")
logging.basicConfig(level=logging.INFO)

def on_event(partition_context, event):
    logger.info("Received event from partition {}".format(partition_context.partition_id))
    partition_context.update_checkpoint(event)

with client:
    client.receive(
        on_event=on_event, 
        starting_position="-1",  # "-1" is from the beginning of the partition.
    )
    # receive events from specified partition:
    # client.receive(on_event=on_event, partition_id='0')

Consume events from an Event Hub in batches

import logging
from azure.eventhub import EventHubConsumerClient

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group, eventhub_name=eventhub_name)

logger = logging.getLogger("azure.eventhub")
logging.basicConfig(level=logging.INFO)

def on_event_batch(partition_context, events):
    logger.info("Received event from partition {}".format(partition_context.partition_id))
    partition_context.update_checkpoint()

with client:
    client.receive_batch(
        on_event_batch=on_event_batch, 
        starting_position="-1",  # "-1" is from the beginning of the partition.
    )
    # receive events from specified partition:
    # client.receive_batch(on_event_batch=on_event_batch, partition_id='0')

Publish events to an Event Hub asynchronously

Use the create_batch method on EventHubProcuer to create an EventDataBatch object which can then be sent using the send_batch method. Events may be added to the EventDataBatch using the add method until the maximum batch size limit in bytes has been reached.

import asyncio
from azure.eventhub.aio import EventHubProducerClient  # The package name suffixed with ".aio" for async
from azure.eventhub import EventData

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'

async def create_batch(client):
    event_data_batch = await client.create_batch()
    can_add = True
    while can_add:
        try:
            event_data_batch.add(EventData('Message inside EventBatchData'))
        except ValueError:
            can_add = False  # EventDataBatch object reaches max_size.
    return event_data_batch

async def send():
    client = EventHubProducerClient.from_connection_string(connection_str, eventhub_name=eventhub_name)
    batch_data = await create_batch(client)
    async with client:
        await client.send_batch(batch_data)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(send())

Consume events from an Event Hub asynchronously

import logging
import asyncio
from azure.eventhub.aio import EventHubConsumerClient

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'

logger = logging.getLogger("azure.eventhub")
logging.basicConfig(level=logging.INFO)

async def on_event(partition_context, event):
    logger.info("Received event from partition {}".format(partition_context.partition_id))
    await partition_context.update_checkpoint(event)

async def receive():
    client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group, eventhub_name=eventhub_name)
    async with client:
        await client.receive(
            on_event=on_event,
            starting_position="-1",  # "-1" is from the beginning of the partition.
        )
        # receive events from specified partition:
        # await client.receive(on_event=on_event, partition_id='0')

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(receive())

Consume events from an Event Hub in batches asynchronously

import logging
import asyncio
from azure.eventhub.aio import EventHubConsumerClient

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'

logger = logging.getLogger("azure.eventhub")
logging.basicConfig(level=logging.INFO)

async def on_event_batch(partition_context, events):
    logger.info("Received event from partition {}".format(partition_context.partition_id))
    await partition_context.update_checkpoint()

async def receive_batch():
    client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group, eventhub_name=eventhub_name)
    async with client:
        await client.receive_batch(
            on_event_batch=on_event_batch,
            starting_position="-1",  # "-1" is from the beginning of the partition.
        )
        # receive events from specified partition:
        # await client.receive_batch(on_event_batch=on_event_batch, partition_id='0')

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(receive_batch())

Consume events and save checkpoints using a checkpoint store

EventHubConsumerClient is a high level construct which allows you to receive events from multiple partitions at once and load balance with other consumers using the same Event Hub and consumer group.

This also allows the user to track progress when events are processed using checkpoints.

A checkpoint is meant to represent the last successfully processed event by the user from a particular partition of a consumer group in an Event Hub instance. The EventHubConsumerClient uses an instance of CheckpointStore to update checkpoints and to store the relevant information required by the load balancing algorithm.

Search pypi with the prefix azure-eventhub-checkpointstore to find packages that support this and use the CheckpointStore implementation from one such package. Please note that both sync and async libraries are provided.

In the below example, we create an instance of EventHubConsumerClient and use a BlobCheckpointStore. You need to create an Azure Storage account and a Blob Container to run the code.

Azure Blob Storage Checkpoint Store Async and Azure Blob Storage Checkpoint Store Sync are one of the CheckpointStore implementations we provide that applies Azure Blob Storage as the persistent store.

import asyncio

from azure.eventhub.aio import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblobaio import BlobCheckpointStore

connection_str = '<< CONNECTION STRING FOR THE EVENT HUBS NAMESPACE >>'
consumer_group = '<< CONSUMER GROUP >>'
eventhub_name = '<< NAME OF THE EVENT HUB >>'
storage_connection_str = '<< CONNECTION STRING FOR THE STORAGE >>'
container_name = '<<NAME OF THE BLOB CONTAINER>>'

async def on_event(partition_context, event):
    # do something
    await partition_context.update_checkpoint(event)  # Or update_checkpoint every N events for better performance.

async def receive(client):
    await client.receive(
        on_event=on_event,
        starting_position="-1",  # "-1" is from the beginning of the partition.
    )

async def main():
    checkpoint_store = BlobCheckpointStore.from_connection_string(storage_connection_str, container_name)
    client = EventHubConsumerClient.from_connection_string(
        connection_str,
        consumer_group,
        eventhub_name=eventhub_name,
        checkpoint_store=checkpoint_store,  # For load balancing and checkpoint. Leave None for no load balancing
    )
    async with client:
        await receive(client)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

Use EventHubConsumerClient to work with IoT Hub

You can use EventHubConsumerClient to work with IoT Hub as well. This is useful for receiving telemetry data of IoT Hub from the linked EventHub. The associated connection string will not have send claims, hence sending events is not possible.

Please notice that the connection string needs to be for an Event Hub-compatible endpoint, e.g. "Endpoint=sb://my-iothub-namespace-[uid].servicebus.windows.net/;SharedAccessKeyName=my-SA-name;SharedAccessKey=my-SA-key;EntityPath=my-iot-hub-name"

There are two ways to get the Event Hubs compatible endpoint:

• Manually get the "Built-in endpoints" of the IoT Hub in Azure Portal and receive from it.

from azure.eventhub import EventHubConsumerClient

connection_str = 'Endpoint=sb://my-iothub-namespace-[uid].servicebus.windows.net/;SharedAccessKeyName=my-SA-name;SharedAccessKey=my-SA-key;EntityPath=my-iot-hub-name'
consumer_group = '<< CONSUMER GROUP >>'
client = EventHubConsumerClient.from_connection_string(connection_str, consumer_group)

partition_ids = client.get_partition_ids()

• Programmatically retrieve the built-in Event Hubs compatible endpoint. Refer to IoT Hub Connection String Sample.

Troubleshooting

General

The Event Hubs APIs generate the following exceptions in azure.eventhub.exceptions

• AuthenticationError: Failed to authenticate because of wrong address, SAS policy/key pair, SAS token or azure identity.
• ConnectError: Failed to connect to the EventHubs. The AuthenticationError is a type of ConnectError.
• ConnectionLostError: Lose connection after a connection has been built.
• EventDataError: The EventData to be sent fails data validation. For instance, this error is raised if you try to send an EventData that is already sent.
• EventDataSendError: The Eventhubs service responds with an error when an EventData is sent.
• OperationTimeoutError: EventHubConsumer.send() times out.
• EventHubError: All other Eventhubs related errors. It is also the root error class of all the errors described above.

Logging

• Enable azure.eventhub logger to collect traces from the library.
• Enable uamqp logger to collect traces from the underlying uAMQP library.
• Enable AMQP frame level trace by setting logging_enable=True when creating the client.

Next steps

More sample code

Please take a look at the samples directory for detailed examples of how to use this library to send and receive events to/from Event Hubs.

Documentation

Reference documentation is available here.

Provide Feedback

If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [e-mail] with any additional questions or comments.

Release History

5.1.0 (2020-05-04)

New Features

• EventHubProducerClient.send_batch accepts either an EventDataBatch or a finite list of EventData. #9181
• Added enqueueTime to span links of distributed tracing. #9599

Bug fixes

• Fixed a bug that turned azure.eventhub.EventhubConsumerClient into an exclusive receiver when it has no checkpoint store. #11181
• Updated uAMQP dependency to 1.2.7.
  • Fixed bug in setting certificate of tlsio on MacOS. #7201
  • Fixed bug that caused segmentation fault in network tracing on MacOS when setting logging_enable to True in EventHubConsumerClient and EventHubProducerClient.

5.1.0b1 (2020-04-06)

New Features

• Added EventHubConsumerClient.receive_batch() to receive and process events in batches instead of one by one. #9184
• EventHubConsumerCliuent.receive() has a new param max_wait_time. on_event is called every max_wait_time when no events are received and max_wait_time is not None or 0.
• Param event of PartitionContext.update_checkpoint is now optional. The last received event is used when param event is not passed in.
• EventData.system_properties has added missing properties when consuming messages from IotHub. #10408

5.0.1 (2020-03-09)

Bug fixes

• Fixed a bug that swallowed errors when receiving events with azure.eventhub.EventHubConsumerClient #9660
• Fixed a bug that caused get_eventhub_properties, get_partition_ids, and get_partition_properties to raise an error on Azure Stack #9920

5.0.0 (2020-01-13)

Breaking changes

• EventData
  • Removed deprecated property application_properties and deprecated method encode_message().
• EventHubConsumerClient
  • on_error would be called when EventHubConsumerClient failed to claim ownership of partitions.
  • on_partition_close and on_partition_initialize would be called in the case of exceptions raised by on_event callback.
    • EventHubConsumerClient would close and re-open the internal partition receiver in this case.
  • Default starting position from where EventHubConsumerClient should resume receiving after recovering from an error has been re-prioritized.
    • If there is checkpoint, it will resume from the checkpoint.
    • If there is no checkpoint but starting_position is provided, it will resume from starting_posititon.
    • If there is no checkpoint or starting_position, it will resume from the latest position.
• PartitionContext
  • update_checkpoint would do in-memory checkpoint instead of doing nothing when checkpoint store is not explicitly provided.
    • The in-memory checkpoints would be used for EventHubConsumerClient receiving recovering.
• get_partition_ids, get_partition_properties, get_eventhub_properties would raise error in the case of service returning an error status code.
  • AuthenticationError would be raised when service returning error code 401.
  • ConnectError would be raised when service returning error code 404.
  • EventHubError would be raised when service returning other error codes.

5.0.0b6 (2019-12-03)

Breaking changes

• All exceptions should now be imported from azure.eventhub.exceptions.
• Introduced separate EventHubSharedKeyCredential objects for synchronous and asynchronous operations. For async, import the credentials object from the azure.eventhub.aio namespace.
• EventData
  • Renamed property application_properties to properties.
  • EventData no longer has attribute last_enqueued_event_properties - use this on PartitionContext instead.
• EvenDataBatch
  • EventDataBatch.try_add has been renamed to EventDataBatch.add.
  • Renamed property size to size_in_bytes.
  • Renamed attribute max_size to max_size_in_bytes.
• EventHubConsumerClient and EventHubProducerClient
  • Renamed method get_properties to get_eventhub_properties.
  • Renamed parameters in constructor: host to fully_qualified_namespace, event_hub_path to eventhub_name.
  • Renamed parameters in get_partition_properties: partition to partition_id.
  • Renamed parameter consumer_group_name to consumer_group and moved that parameter from receive method to the constructor of EventHubConsumerClient.
  • Renamed parameter initial_event_position to starting_position on the receive method of EventHubConsumerClient.
  • Renamed parameter event_hub_path to eventhub_name in constructor and from_connection_string method of the client object.
  • EventHubProducerClient.send has been renamed to send_batch which will only accept EventDataBatch object as input.
  • EventHubProducerClient.create_batch now also takes the partition_id and partition_key as optional parameters (which are no longer specified at send).
• Renamed module PartitionManager to CheckpointStore.
• Receive event callback parameter has been renamed to on_event and now operates on a single event rather than a list of events.
• Removed class EventPostition.
  • The starting_position parameter of the receive method accepts offset(str), sequence number(int), datetime (datetime.datetime) or dict of these types.
  • The starting_position_inclusive parameter of the receive method accepts bool or dict indicating whether the given event position is inclusive or not.
• PartitionContext no longer has attribute owner_id.
• PartitionContext now has attribute last_enqueued_event_properties which is populated if track_last_enqueued_event_properties is set to True in the receive method.

New features

• Added new parameter idle_timeout in construct and from_connection_string to EventHubConsumerClient and EventHubProducerClient after which the underlying connection will close if there is no further activity.

5.0.0b5 (2019-11-04)

Breaking changes

• EventHubClient, EventHubConsumer and EventHubProducer has been removed. Use EventHubProducerClient and EventHubConsumerClient instead.
  • Construction of both objects is the same as it was for the previous client.
• Introduced EventHubProducerClient as substitution forEventHubProducer.
  • EventHubProducerClient supports sending events to different partitions.
• Introduced EventHubConsumerClient as substitution for EventHubConsumer.
  • EventHubConsumerClient supports receiving events from single/all partitions.
  • There are no longer methods which directly return EventData, all receiving is done via callback method: on_events.
• EventHubConsumerClient has taken on the responsibility of EventProcessor.
  • EventHubConsumerClient now accepts PartitionManager to do load-balancing and checkpoint.
• Replaced PartitionProcessorby four independent callback methods accepted by the receive method on EventHubConsumerClient.
  • on_events(partition_context, events) called when events are received.
  • on_error(partition_context, exception called when errors occur.
  • on_partition_initialize(partition_context) called when a partition consumer is opened.
  • on_partition_close(partition_context, reason) called when a partition consumer is closed.
• Some modules and classes that were importable from several different places have been removed:
  • azure.eventhub.common has been removed. Import from azure.eventhub instead.
  • azure.eventhub.client_abstract has been removed. Use azure.eventhub.EventHubProducerClient or azure.eventhub.EventHubConsumerClient instead.
  • azure.eventhub.client has been removed. Use azure.eventhub.EventHubProducerClient or azure.eventhub.EventHubConsumerClient instead.
  • azure.eventhub.producer has been removed. Use azure.eventhub.EventHubProducerClient instead.
  • azure.eventhub.consumer has been removed. Use azure.eventhub.EventHubConsumerClient instead.
  • azure.eventhub.aio.client_async has been removed. Use azure.eventhub.aio.EventHubProducerClient or azure.eventhub.aio.EventHubConsumerClient instead.
  • azure.eventhub.aio.producer_async has been removed. Use azure.eventhub.aio.EventHubProducerClient instead.
  • azure.eventhub.aio.consumer_async has been removed. Use azure.eventhub.aio.EventHubConsumerClient instead.
  • azure.eventhub.aio.event_processor.event_processor has been removed. Use azure.eventhub.aio.EventHubConsumerClient instead.
  • azure.eventhub.aio.event_processor.partition_processor has been removed. Use callback methods instead.
  • azure.eventhub.aio.event_processor.partition_manager has been removed. Import from azure.eventhub.aio instead.
  • azure.eventhub.aio.event_processor.partition_context has been removed. Import from azure.eventhub.aio instead.
  • azure.eventhub.aio.event_processor.sample_partition_manager has been removed.

Bug fixes

• Fixed bug in user-agent string not being parsed.

5.0.0b4 (2019-10-08)

New features

• Added support for tracing (issue #7153).
• Added the capability of tracking last enqueued event properties of the partition to EventHubConsumer .
  • Added new boolean type parametertrack_last_enqueued_event_properties in method EventHubClient.create_consumer().
  • Added new property last_enqueued_event_properties of EventHubConsumer which contains sequence_number, offset, enqueued_time and retrieval_time information.
  • By default the capability is disabled as it will cost extra bandwidth for transferring more information if turned on.

Breaking changes

• Removed support for IoT Hub direct connection.
  • EventHubs compatible connection string of an IotHub can be used to create EventHubClient and read properties or events from an IoT Hub.
• Removed support for sending EventData to IoT Hub.
• Removed parameter exception in method close() of EventHubConsumer and EventHubProcuer.
• Updated uAMQP dependency to 1.2.3.

5.0.0b3 (2019-09-10)

New features

• Added support for automatic load balancing among multiple EventProcessor.
• Added BlobPartitionManager which implements PartitionManager.
  • Azure Blob Storage is applied for storing data used by EventProcessor.
  • Packaged separately as a plug-in to EventProcessor.
  • For details, please refer to Azure Blob Storage Partition Manager.
• Added property system_properties on EventData.

Breaking changes

• Removed constructor method of PartitionProcessor. For initialization please implement the method initialize.
• Replaced CheckpointManager by PartitionContext.
  • PartitionContext has partition context information and method update_checkpoint.
• Updated all methods of PartitionProcessor to include PartitionContext as part of the arguments.
• Updated accessibility of class members in EventHub/EventHubConsumer/EventHubProducerto be private.
• Moved azure.eventhub.eventprocessor under aio package, which now becomes azure.eventhub.aio.eventprocessor.

5.0.0b2 (2019-08-06)

New features

• Added method create_batch on the EventHubProducer to create an EventDataBatch that can then be used to add events until the maximum size is reached.
  • This batch object can then be used in the send() method to send all the added events to Event Hubs.
  • This allows publishers to build batches without the possibility of encountering the error around the message size exceeding the supported limit when sending events.
  • It also allows publishers with bandwidth concerns to control the size of each batch published.
• Added new configuration parameters for exponential delay between retry operations.
  • retry_total: The total number of attempts to redo the failed operation.
  • backoff_factor: The delay time factor.
  • backoff_max: The maximum delay time in total.
• Added support for context manager on EventHubClient.
• Added new error type OperationTimeoutError for send operation.
• Introduced a new class EventProcessor which replaces the older concept of Event Processor Host. This early preview is intended to allow users to test the new design using a single instance of EventProcessor. The ability to checkpoints to a durable store will be added in future updates.
  • EventProcessor: EventProcessor creates and runs consumers for all partitions of the eventhub.
  • PartitionManager: PartitionManager defines the interface for getting/claiming ownerships of partitions and updating checkpoints.
  • PartitionProcessor: PartitionProcessor defines the interface for processing events.
  • CheckpointManager: CheckpointManager takes responsibility for updating checkpoints during events processing.

Breaking changes

• EventProcessorHost was replaced by EventProcessor, please read the new features for details.
• Replaced max_retries configuration parameter of the EventHubClient with retry_total.

5.0.0b1 (2019-06-25)

Version 5.0.0b1 is a preview of our efforts to create a client library that is user friendly and idiomatic to the Python ecosystem. The reasons for most of the changes in this update can be found in the Azure SDK Design Guidelines for Python. For more information, please visit https://aka.ms/azure-sdk-preview1-python.

New features

• Added new configuration parameters for creating EventHubClient.
  • credential: The credential object used for authentication which implements TokenCredential interface of getting tokens.
  • transport_type: The type of transport protocol that will be used for communicating with the Event Hubs service.
  • max_retries: The max number of attempts to redo the failed operation when an error happened.
  • for detailed information about the configuration parameters, please read the reference documentation.
• Added new methods get_partition_properties and get_partition_ids to EventHubClient.
• Added support for http proxy.
• Added support for authentication using azure-identity credential.
• Added support for transport using AMQP over WebSocket.

Breaking changes

• New error hierarchy
  • azure.error.EventHubError
  • azure.error.ConnectionLostError
  • azure.error.ConnectError
  • azure.error.AuthenticationError
  • azure.error.EventDataError
  • azure.error.EventDataSendError
• Renamed Sender/Receiver to EventHubProducer/EventHubConsumer.
  • Renamed add_sender to create_producer and add_receiver to create_consumer in EventHubClient.
  • EventHubConsumer is now iterable.
• Rename class azure.eventhub.Offset to azure.eventhub.EventPosition.
• Rename method get_eventhub_info to get_properties of EventHubClient.
• Reorganized connection management, EventHubClient is no longer responsible for opening/closing EventHubProducer/EventHubConsumer.
  • Each EventHubProducer/EventHubConsumer is responsible for its own connection management.
  • Added support for context manager on EventHubProducer and EventHubConsumer.
• Reorganized async APIs into "azure.eventhub.aio" namespace and rename to drop the "_async" suffix.
• Updated uAMQP dependency to 1.2.

1.3.1 (2019-02-28)

BugFixes

• Fixed bug where datetime offset filter was using a local timestamp rather than UTC.
• Fixed stackoverflow error in continuous connection reconnect attempts.

1.3.0 (2019-01-29)

BugFixes

• Added support for auto reconnect on token expiration and other auth errors (issue #89).

Features

• Added ability to create ServiceBusClient from an existing SAS auth token, including providing a function to auto-renew that token on expiry.
• Added support for storing a custom EPH context value in checkpoint (PR #84, thanks @konstantinmiller)

1.2.0 (2018-11-29)

• Support for Python 2.7 in azure.eventhub module (azure.eventprocessorhost will not support Python 2.7).
• Parse EventData.enqueued_time as a UTC timestamp (issue #72, thanks @vjrantal)

1.1.1 (2018-10-03)

• Fixed bug in Azure namespace package.

1.1.0 (2018-09-21)

• Changes to AzureStorageCheckpointLeaseManager parameters to support other connection options (issue #61):

  • The storage_account_name, storage_account_key and lease_container_name arguments are now optional keyword arguments.
  • Added a sas_token argument that must be specified with storage_account_name in place of storage_account_key.
  • Added an endpoint_suffix argument to support storage endpoints in National Clouds.
  • Added a connection_string argument that, if specified, overrides all other endpoint arguments.
  • The lease_container_name argument now defaults to "eph-leases" if not specified.

• Fix for clients failing to start if run called multipled times (issue #64).

• Added convenience methods body_as_str and body_as_json to EventData object for easier processing of message data.

1.0.0 (2018-08-22)

• API stable.
• Renamed internal _async module to async_ops for docs generation.
• Added optional auth_timeout parameter to EventHubClient and EventHubClientAsync to configure how long to allow for token negotiation to complete. Default is 60 seconds.
• Added optional send_timeout parameter to EventHubClient.add_sender and EventHubClientAsync.add_async_sender to determine the timeout for Events to be successfully sent. Default value is 60 seconds.
• Reformatted logging for performance.

0.2.0 (2018-08-06)

• Stability improvements for EPH.

• Updated uAMQP version.

• Added new configuration options for Sender and Receiver; keep_alive and auto_reconnect. These flags have been added to the following:

  • EventHubClient.add_receiver
  • EventHubClient.add_sender
  • EventHubClientAsync.add_async_receiver
  • EventHubClientAsync.add_async_sender
  • EPHOptions.keey_alive_interval
  • EPHOptions.auto_reconnect_on_error

0.2.0rc2 (2018-07-29)

• Breaking change EventData.offset will now return an object of type ~uamqp.common.Offset rather than str. The original string value can be retrieved from ~uamqp.common.Offset.value.
• Each sender/receiver will now run in its own independent connection.
• Updated uAMQP dependency to 0.2.0
• Fixed issue with IoTHub clients not being able to retrieve partition information.
• Added support for HTTP proxy settings to both EventHubClient and EPH.
• Added error handling policy to automatically reconnect on retryable error.
• Added keep-alive thread for maintaining an unused connection.

0.2.0rc1 (2018-07-06)

• Breaking change Restructured library to support Python 3.7. Submodule async has been renamed and all classes from this module can now be imported from azure.eventhub directly.
• Breaking change Removed optional callback argument from Receiver.receive and AsyncReceiver.receive.
• Breaking change EventData.properties has been renamed to EventData.application_properties. This removes the potential for messages to be processed via callback for not yet returned in the batch.
• Updated uAMQP dependency to v0.1.0
• Added support for constructing IoTHub connections.
• Fixed memory leak in receive operations.
• Dropped Python 2.7 wheel support.

0.2.0b2 (2018-05-29)

• Added namespace_suffix to EventHubConfig() to support national clouds.
• Added device_id attribute to EventData to support IoT Hub use cases.
• Added message header to workaround service bug for PartitionKey support.
• Updated uAMQP dependency to vRC1.

0.2.0b1 (2018-04-20)

• Updated uAMQP to latest version.
• Further testing and minor bug fixes.

0.2.0a2 (2018-04-02)

• Updated uAQMP dependency.

0.2.0a1 (unreleased)

• Swapped out Proton dependency for uAMQP.