# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import logging
import threading
from typing import TYPE_CHECKING
from ._client_base import ClientBase
from ._consumer import EventHubConsumer
from ._constants import ALL_PARTITIONS
from ._eventprocessor.event_processor import EventProcessor
from ._eventprocessor.common import LoadBalancingStrategy
if TYPE_CHECKING:
import datetime
from azure.core.credentials import (
TokenCredential,
AzureSasCredential,
AzureNamedKeyCredential,
)
from typing import ( # pylint: disable=ungrouped-imports
Any,
Union,
Dict,
Tuple,
Callable,
List,
Optional,
)
from ._eventprocessor.partition_context import PartitionContext
from ._common import EventData
_LOGGER = logging.getLogger(__name__)
[docs]class EventHubConsumerClient(ClientBase):
"""The EventHubConsumerClient class defines a high level interface for
receiving events from the Azure Event Hubs service.
The main goal of `EventHubConsumerClient` is to receive events from all partitions of an EventHub with
load-balancing and checkpointing.
When multiple `EventHubConsumerClient` instances are running against the same event hub, consumer group and
checkpointing location, the partitions will be evenly distributed among them.
To enable load-balancing and persisted checkpoints, checkpoint_store must be set when creating the
`EventHubConsumerClient`.
If a checkpoint store is not provided, the checkpoint will be maintained internally in memory.
An `EventHubConsumerClient` can also receive from a specific partition when you call its method `receive()` or
`receive_batch()` and specify the partition_id.
Load-balancing won't work in single-partition mode. But users can still save checkpoints if the checkpoint_store
is set.
:param str fully_qualified_namespace: The fully qualified host name for the Event Hubs namespace.
The namespace format is: `<yournamespace>.servicebus.windows.net`.
:param str eventhub_name: The path of the specific Event Hub to connect the client to.
:param str consumer_group: Receive events from the event hub for this consumer group.
:param credential: The credential object used for authentication which
implements a particular interface for getting tokens. It accepts
:class:`EventHubSharedKeyCredential<azure.eventhub.EventHubSharedKeyCredential>`, or credential objects generated
by the azure-identity library and objects that implement the `get_token(self, *scopes)` method.
:type credential: ~azure.core.credentials.TokenCredential or ~azure.core.credentials.AzureSasCredential
or ~azure.core.credentials.AzureNamedKeyCredential
:keyword bool logging_enable: Whether to output network trace logs to the logger. Default is `False`.
:keyword float auth_timeout: The time in seconds to wait for a token to be authorized by the service.
The default value is 60 seconds. If set to 0, no timeout will be enforced from the client.
:keyword str user_agent: If specified, this will be added in front of the user agent string.
:keyword int retry_total: The total number of attempts to redo a failed operation when an error occurs.
Default value is 3. The context of `retry_total` in receiving is special: The `receive` method is implemented
by a while-loop calling internal receive method in each iteration. In the `receive` case,
`retry_total` specifies the numbers of retry after error raised by internal receive method in the while-loop.
If retry attempts are exhausted, the `on_error` callback will be called (if provided) with the error information.
The failed internal partition consumer will be closed (`on_partition_close` will be called if provided) and
new internal partition consumer will be created (`on_partition_initialize` will be called if provided) to resume
receiving.
:keyword float retry_backoff_factor: A backoff factor to apply between attempts after the second try
(most errors are resolved immediately by a second try without a delay).
In fixed mode, retry policy will always sleep for {backoff factor}.
In 'exponential' mode, retry policy will sleep for: `{backoff factor} * (2 ** ({number of total retries} - 1))`
seconds. If the backoff_factor is 0.1, then the retry will sleep
for [0.0s, 0.2s, 0.4s, ...] between retries. The default value is 0.8.
:keyword float retry_backoff_max: The maximum back off time. Default value is 120 seconds (2 minutes).
:keyword retry_mode: The delay behavior between retry attempts. Supported values are 'fixed' or 'exponential',
where default is 'exponential'.
:paramtype retry_mode: str
:keyword float idle_timeout: Timeout, in seconds, after which this client will close the underlying connection
if there is no further activity. By default the value is None, meaning that the client will not shutdown due to
inactivity unless initiated by the service.
:keyword checkpoint_store: A manager that stores the partition load-balancing and checkpoint data
when receiving events. The checkpoint store will be used in both cases of receiving from all partitions
or a single partition. In the latter case load-balancing does not apply.
If a checkpoint store is not provided, the checkpoint will be maintained internally
in memory, and the `EventHubConsumerClient` instance will receive events without load-balancing.
:paramtype checkpoint_store: ~azure.eventhub.CheckpointStore
:keyword float load_balancing_interval: When load-balancing kicks in. This is the interval, in seconds,
between two load-balancing evaluations. Default is 10 seconds.
:keyword float partition_ownership_expiration_interval: A partition ownership will expire after this number
of seconds. Every load-balancing evaluation will automatically extend the ownership expiration time.
Default is 6 * load_balancing_interval, i.e. 60 seconds when using the default load_balancing_interval
of 10 seconds.
:keyword load_balancing_strategy: When load-balancing kicks in,
it will use this strategy to claim and balance the partition ownership.
Use "greedy" or `LoadBalancingStrategy.GREEDY` for the greedy strategy, which, for every
load-balancing evaluation, will grab as many unclaimed partitions required to balance the load.
Use "balanced" or `LoadBalancingStrategy.BALANCED` for the balanced strategy, which, for every load-balancing
evaluation, claims only one partition that is not claimed by other `EventHubConsumerClient`.
If all partitions of an EventHub are claimed by other `EventHubConsumerClient` and this client has claimed
too few partitions, this client will steal one partition from other clients for every load-balancing
evaluation regardless of the load balancing strategy.
Greedy strategy is used by default.
:paramtype load_balancing_strategy: str or ~azure.eventhub.LoadBalancingStrategy
.. admonition:: Example:
.. literalinclude:: ../samples/sync_samples/sample_code_eventhub.py
:start-after: [START create_eventhub_consumer_client_sync]
:end-before: [END create_eventhub_consumer_client_sync]
:language: python
:dedent: 4
:caption: Create a new instance of the EventHubConsumerClient.
"""
def __init__(
self,
fully_qualified_namespace, # type: str
eventhub_name, # type: str
consumer_group, # type: str
credential, # type: Union[AzureSasCredential, TokenCredential, AzureNamedKeyCredential]
**kwargs # type: Any
):
# type: (...) -> None
self._checkpoint_store = kwargs.pop("checkpoint_store", None)
self._load_balancing_interval = kwargs.pop("load_balancing_interval", None)
if self._load_balancing_interval is None:
self._load_balancing_interval = 10
self._partition_ownership_expiration_interval = kwargs.pop(
"partition_ownership_expiration_interval", None
)
if self._partition_ownership_expiration_interval is None:
self._partition_ownership_expiration_interval = (
6 * self._load_balancing_interval
)
load_balancing_strategy = kwargs.pop("load_balancing_strategy", None)
self._load_balancing_strategy = (
LoadBalancingStrategy(load_balancing_strategy)
if load_balancing_strategy
else LoadBalancingStrategy.GREEDY
)
self._consumer_group = consumer_group
network_tracing = kwargs.pop("logging_enable", False)
super(EventHubConsumerClient, self).__init__(
fully_qualified_namespace=fully_qualified_namespace,
eventhub_name=eventhub_name,
credential=credential,
network_tracing=network_tracing,
**kwargs
)
self._lock = threading.Lock()
self._event_processors = {} # type: Dict[Tuple[str, str], EventProcessor]
def __enter__(self):
return self
def __exit__(self, *args):
self.close()
def _create_consumer(
self,
consumer_group, # type: str
partition_id, # type: str
event_position, # type: Union[str, int, datetime.datetime]
on_event_received, # type: Callable[[PartitionContext, EventData], None]
**kwargs # type: Any
):
# type: (...) -> EventHubConsumer
owner_level = kwargs.get("owner_level")
prefetch = kwargs.get("prefetch") or self._config.prefetch
track_last_enqueued_event_properties = kwargs.get(
"track_last_enqueued_event_properties", False
)
event_position_inclusive = kwargs.get("event_position_inclusive", False)
source_url = "amqps://{}{}/ConsumerGroups/{}/Partitions/{}".format(
self._address.hostname, self._address.path, consumer_group, partition_id
)
handler = EventHubConsumer(
self,
source_url,
event_position=event_position,
event_position_inclusive=event_position_inclusive,
owner_level=owner_level,
on_event_received=on_event_received,
prefetch=prefetch,
idle_timeout=self._idle_timeout,
track_last_enqueued_event_properties=track_last_enqueued_event_properties,
)
return handler
[docs] @classmethod
def from_connection_string(cls, conn_str, consumer_group, **kwargs):
# type: (str, str, Any) -> EventHubConsumerClient
"""Create an EventHubConsumerClient from a connection string.
:param str conn_str: The connection string of an Event Hub.
:param str consumer_group: Receive events from the Event Hub for this consumer group.
:keyword str eventhub_name: The path of the specific Event Hub to connect the client to.
:keyword bool logging_enable: Whether to output network trace logs to the logger. Default is `False`.
:keyword float auth_timeout: The time in seconds to wait for a token to be authorized by the service.
The default value is 60 seconds. If set to 0, no timeout will be enforced from the client.
:keyword str user_agent: If specified, this will be added in front of the user agent string.
:keyword int retry_total: The total number of attempts to redo a failed operation when an error occurs.
Default value is 3. The context of `retry_total` in receiving is special: The `receive` method is implemented
by a while-loop calling internal receive method in each iteration. In the `receive` case,
`retry_total` specifies the numbers of retry after error raised by internal receive method in the while-loop.
If retry attempts are exhausted, the `on_error` callback will be called (if provided) with the error
information. The failed internal partition consumer will be closed (`on_partition_close` will be called
if provided) and new internal partition consumer will be created (`on_partition_initialize` will be called if
provided) to resume receiving.
:keyword float retry_backoff_factor: A backoff factor to apply between attempts after the second try
(most errors are resolved immediately by a second try without a delay).
In fixed mode, retry policy will always sleep for {backoff factor}.
In 'exponential' mode, retry policy will sleep for: `{backoff factor} * (2 ** ({number of total retries} - 1))`
seconds. If the backoff_factor is 0.1, then the retry will sleep
for [0.0s, 0.2s, 0.4s, ...] between retries. The default value is 0.8.
:keyword float retry_backoff_max: The maximum back off time. Default value is 120 seconds (2 minutes).
:keyword retry_mode: The delay behavior between retry attempts. Supported values are 'fixed' or 'exponential',
where default is 'exponential'.
:paramtype retry_mode: str
:keyword float idle_timeout: Timeout, in seconds, after which this client will close the underlying connection
if there is no furthur activity. By default the value is None, meaning that the client will not shutdown due
to inactivity unless initiated by the service.
:keyword checkpoint_store: A manager that stores the partition load-balancing and checkpoint data
when receiving events. The checkpoint store will be used in both cases of receiving from all partitions
or a single partition. In the latter case load-balancing does not apply.
If a checkpoint store is not provided, the checkpoint will be maintained internally
in memory, and the `EventHubConsumerClient` instance will receive events without load-balancing.
:paramtype checkpoint_store: ~azure.eventhub.CheckpointStore
:keyword float load_balancing_interval: When load-balancing kicks in. This is the interval, in seconds,
between two load-balancing evaluations. Default is 10 seconds.
:keyword float partition_ownership_expiration_interval: A partition ownership will expire after this number
of seconds. Every load-balancing evaluation will automatically extend the ownership expiration time.
Default is 6 * load_balancing_interval, i.e. 60 seconds when using the default load_balancing_interval
of 10 seconds.
:keyword load_balancing_strategy: When load-balancing kicks in,
it will use this strategy to claim and balance the partition ownership.
Use "greedy" or `LoadBalancingStrategy.GREEDY` for the greedy strategy, which, for every
load-balancing evaluation, will grab as many unclaimed partitions required to balance the load.
Use "balanced" or `LoadBalancingStrategy.BALANCED` for the balanced strategy, which, for every load-balancing
evaluation, claims only one partition that is not claimed by other `EventHubConsumerClient`.
If all partitions of an EventHub are claimed by other `EventHubConsumerClient` and this client has claimed
too few partitions, this client will steal one partition from other clients for every load-balancing
evaluation regardless of the load balancing strategy.
Greedy strategy is used by default.
:paramtype load_balancing_strategy: str or ~azure.eventhub.LoadBalancingStrategy
:rtype: ~azure.eventhub.EventHubConsumerClient
.. admonition:: Example:
.. literalinclude:: ../samples/sync_samples/sample_code_eventhub.py
:start-after: [START create_eventhub_consumer_client_from_conn_str_sync]
:end-before: [END create_eventhub_consumer_client_from_conn_str_sync]
:language: python
:dedent: 4
:caption: Create a new instance of the EventHubConsumerClient from connection string.
"""
constructor_args = cls._from_connection_string(
conn_str, consumer_group=consumer_group, **kwargs
)
return cls(**constructor_args)
def _receive(self, on_event, **kwargs):
partition_id = kwargs.get("partition_id")
with self._lock:
error = None # type: Optional[str]
if (self._consumer_group, ALL_PARTITIONS) in self._event_processors:
error = (
"This consumer client is already receiving events "
"from all partitions for consumer group {}.".format(
self._consumer_group
)
)
elif partition_id is None and any(
x[0] == self._consumer_group for x in self._event_processors
):
error = (
"This consumer client is already receiving events "
"for consumer group {}.".format(self._consumer_group)
)
elif (self._consumer_group, partition_id) in self._event_processors:
error = (
"This consumer client is already receiving events "
"from partition {} for consumer group {}. ".format(
partition_id, self._consumer_group
)
)
if error:
_LOGGER.warning(error)
raise ValueError(error)
initial_event_position = kwargs.pop("starting_position", "@latest")
initial_event_position_inclusive = kwargs.pop(
"starting_position_inclusive", False
)
event_processor = EventProcessor(
self,
self._consumer_group,
on_event,
checkpoint_store=self._checkpoint_store,
load_balancing_interval=self._load_balancing_interval,
load_balancing_strategy=self._load_balancing_strategy,
partition_ownership_expiration_interval=self._partition_ownership_expiration_interval,
initial_event_position=initial_event_position,
initial_event_position_inclusive=initial_event_position_inclusive,
**kwargs
)
self._event_processors[
(self._consumer_group, partition_id or ALL_PARTITIONS)
] = event_processor
try:
event_processor.start()
finally:
event_processor.stop()
with self._lock:
try:
del self._event_processors[
(self._consumer_group, partition_id or ALL_PARTITIONS)
]
except KeyError:
pass
[docs] def receive(self, on_event, **kwargs):
# type: (Callable[["PartitionContext", Optional["EventData"]], None], Any) -> None
"""Receive events from partition(s), with optional load-balancing and checkpointing.
:param on_event: The callback function for handling a received event. The callback takes two
parameters: `partition_context` which contains partition context and `event` which is the received event.
The callback function should be defined like: `on_event(partition_context, event)`.
For detailed partition context information, please refer to
:class:`PartitionContext<azure.eventhub.PartitionContext>`.
:type on_event: Callable[~azure.eventhub.PartitionContext, Optional[~azure.eventhub.EventData]]
:keyword float max_wait_time: The maximum interval in seconds that the event processor will wait before calling
the callback. If no events are received within this interval, the `on_event` callback will be called with
`None`.
If this value is set to `None` or 0 (the default), the callback will not be called until an event is received.
:keyword str partition_id: If specified, the client will receive from this partition only.
Otherwise the client will receive from all partitions.
:keyword int owner_level: The priority for an exclusive consumer. An exclusive
consumer will be created if owner_level is set. A consumer with a higher owner_level has higher exclusive
priority. The owner level is also know as the 'epoch value' of the consumer.
:keyword int prefetch: The number of events to prefetch from the service
for processing. Default is 300.
:keyword bool track_last_enqueued_event_properties: Indicates whether the consumer should request information
on the last-enqueued event on its associated partition, and track that information as events are received.
When information about the partitions last-enqueued event is being tracked, each event received from the
Event Hubs service will carry metadata about the partition. This results in a small amount of additional
network bandwidth consumption that is generally a favorable trade-off when considered against periodically
making requests for partition properties using the Event Hub client.
It is set to `False` by default.
:keyword starting_position: Start receiving from this event position
if there is no checkpoint data for a partition. Checkpoint data will be used if available. This can be a
a dict with partition ID as the key and position as the value for individual partitions, or a single
value for all partitions. The value type can be str, int or datetime.datetime. Also supported are the
values "-1" for receiving from the beginning of the stream, and "@latest" for receiving only new events.
Default value is "@latest".
:paramtype starting_position: str, int, datetime.datetime or dict[str,Any]
:keyword starting_position_inclusive: Determine whether the given starting_position is inclusive(>=) or
not (>). True for inclusive and False for exclusive. This can be a dict with partition ID as the key and
bool as the value indicating whether the starting_position for a specific partition is inclusive or not.
This can also be a single bool value for all starting_position. The default value is False.
:paramtype starting_position_inclusive: bool or dict[str,bool]
:keyword on_error: The callback function that will be called when an error is raised during receiving
after retry attempts are exhausted, or during the process of load-balancing.
The callback takes two parameters: `partition_context` which contains partition information
and `error` being the exception. `partition_context` could be None if the error is raised during
the process of load-balance. The callback should be defined like: `on_error(partition_context, error)`.
The `on_error` callback will also be called if an unhandled exception is raised during
the `on_event` callback.
:paramtype on_error: Callable[[~azure.eventhub.PartitionContext, Exception]]
:keyword on_partition_initialize: The callback function that will be called after a consumer for a certain
partition finishes initialization. It would also be called when a new internal partition consumer is created
to take over the receiving process for a failed and closed internal partition consumer.
The callback takes a single parameter: `partition_context`
which contains the partition information. The callback should be defined
like: `on_partition_initialize(partition_context)`.
:paramtype on_partition_initialize: Callable[[~azure.eventhub.PartitionContext]]
:keyword on_partition_close: The callback function that will be called after a consumer for a certain
partition is closed. It would be also called when error is raised during receiving after retry attempts are
exhausted. The callback takes two parameters: `partition_context` which contains partition
information and `reason` for the close. The callback should be defined like:
`on_partition_close(partition_context, reason)`.
Please refer to :class:`CloseReason<azure.eventhub.CloseReason>` for the various closing reasons.
:paramtype on_partition_close: Callable[[~azure.eventhub.PartitionContext, ~azure.eventhub.CloseReason]]
:rtype: None
.. admonition:: Example:
.. literalinclude:: ../samples/sync_samples/sample_code_eventhub.py
:start-after: [START eventhub_consumer_client_receive_sync]
:end-before: [END eventhub_consumer_client_receive_sync]
:language: python
:dedent: 4
:caption: Receive events from the EventHub.
"""
self._receive(on_event, batch=False, max_batch_size=1, **kwargs)
[docs] def receive_batch(self, on_event_batch, **kwargs):
# type: (Callable[["PartitionContext", List["EventData"]], None], Any) -> None
"""Receive events from partition(s), with optional load-balancing and checkpointing.
:param on_event_batch: The callback function for handling a batch of received events. The callback takes two
parameters: `partition_context` which contains partition context and `event_batch`, which is the received
events. The callback function should be defined like: `on_event_batch(partition_context, event_batch)`.
`event_batch` could be an empty list if `max_wait_time` is not None nor 0 and no event is received
after `max_wait_time`.
For detailed partition context information, please refer to
:class:`PartitionContext<azure.eventhub.PartitionContext>`.
:type on_event_batch: Callable[~azure.eventhub.PartitionContext, List[~azure.eventhub.EventData]]
:keyword int max_batch_size: The maximum number of events in a batch passed to callback `on_event_batch`.
If the actual received number of events is larger than `max_batch_size`, the received events are divided into
batches and call the callback for each batch with up to `max_batch_size` events.
:keyword float max_wait_time: The maximum interval in seconds that the event processor will wait before
calling the callback.
If no events are received within this interval, the `on_event_batch` callback will be called
with an empty list.
:keyword str partition_id: If specified, the client will receive from this partition only.
Otherwise the client will receive from all partitions.
:keyword int owner_level: The priority for an exclusive consumer. An exclusive
consumer will be created if owner_level is set. A consumer with a higher owner_level has higher exclusive
priority. The owner level is also know as the 'epoch value' of the consumer.
:keyword int prefetch: The number of events to prefetch from the service
for processing. Default is 300.
:keyword bool track_last_enqueued_event_properties: Indicates whether the consumer should request information
on the last-enqueued event on its associated partition, and track that information as events are received.
When information about the partitions last-enqueued event is being tracked, each event received from the
Event Hubs service will carry metadata about the partition. This results in a small amount of additional
network bandwidth consumption that is generally a favorable trade-off when considered against periodically
making requests for partition properties using the Event Hub client.
It is set to `False` by default.
:keyword starting_position: Start receiving from this event position
if there is no checkpoint data for a partition. Checkpoint data will be used if available. This can be a
a dict with partition ID as the key and position as the value for individual partitions, or a single
value for all partitions. The value type can be str, int or datetime.datetime. Also supported are the
values "-1" for receiving from the beginning of the stream, and "@latest" for receiving only new events.
Default value is "@latest".
:paramtype starting_position: str, int, datetime.datetime or dict[str,Any]
:keyword starting_position_inclusive: Determine whether the given starting_position is inclusive(>=) or
not (>). True for inclusive and False for exclusive. This can be a dict with partition ID as the key and
bool as the value indicating whether the starting_position for a specific partition is inclusive or not.
This can also be a single bool value for all starting_position. The default value is False.
:paramtype starting_position_inclusive: bool or dict[str,bool]
:keyword on_error: The callback function that will be called when an error is raised during receiving
after retry attempts are exhausted, or during the process of load-balancing.
The callback takes two parameters: `partition_context` which contains partition information
and `error` being the exception. `partition_context` could be None if the error is raised during
the process of load-balance. The callback should be defined like: `on_error(partition_context, error)`.
The `on_error` callback will also be called if an unhandled exception is raised during
the `on_event` callback.
:paramtype on_error: Callable[[~azure.eventhub.PartitionContext, Exception]]
:keyword on_partition_initialize: The callback function that will be called after a consumer for a certain
partition finishes initialization. It would also be called when a new internal partition consumer is created
to take over the receiving process for a failed and closed internal partition consumer.
The callback takes a single parameter: `partition_context`
which contains the partition information. The callback should be defined
like: `on_partition_initialize(partition_context)`.
:paramtype on_partition_initialize: Callable[[~azure.eventhub.PartitionContext]]
:keyword on_partition_close: The callback function that will be called after a consumer for a certain
partition is closed. It would be also called when error is raised during receiving after retry attempts are
exhausted. The callback takes two parameters: `partition_context` which contains partition
information and `reason` for the close. The callback should be defined like:
`on_partition_close(partition_context, reason)`.
Please refer to :class:`CloseReason<azure.eventhub.CloseReason>` for the various closing reasons.
:paramtype on_partition_close: Callable[[~azure.eventhub.PartitionContext, ~azure.eventhub.CloseReason]]
:rtype: None
.. admonition:: Example:
.. literalinclude:: ../samples/sync_samples/sample_code_eventhub.py
:start-after: [START eventhub_consumer_client_receive_batch_sync]
:end-before: [END eventhub_consumer_client_receive_batch_sync]
:language: python
:dedent: 4
:caption: Receive events in batches from the EventHub.
"""
self._receive(on_event_batch, batch=True, **kwargs)
[docs] def get_eventhub_properties(self):
# type:() -> Dict[str, Any]
"""Get properties of the Event Hub.
Keys in the returned dictionary include:
- `eventhub_name` (str)
- `created_at` (UTC datetime.datetime)
- `partition_ids` (list[str])
:rtype: dict
:raises: :class:`EventHubError<azure.eventhub.exceptions.EventHubError>`
"""
return super(EventHubConsumerClient, self)._get_eventhub_properties()
[docs] def get_partition_ids(self):
# type:() -> List[str]
"""Get partition IDs of the Event Hub.
:rtype: list[str]
:raises: :class:`EventHubError<azure.eventhub.exceptions.EventHubError>`
"""
return super(EventHubConsumerClient, self)._get_partition_ids()
[docs] def get_partition_properties(self, partition_id):
# type:(str) -> Dict[str, Any]
"""Get properties of the specified partition.
Keys in the properties dictionary include:
- `eventhub_name` (str)
- `id` (str)
- `beginning_sequence_number` (int)
- `last_enqueued_sequence_number` (int)
- `last_enqueued_offset` (str)
- `last_enqueued_time_utc` (UTC datetime.datetime)
- `is_empty` (bool)
:param partition_id: The target partition ID.
:type partition_id: str
:rtype: dict
:raises: :class:`EventHubError<azure.eventhub.exceptions.EventHubError>`
"""
return super(EventHubConsumerClient, self)._get_partition_properties(
partition_id
)
[docs] def close(self):
# type: () -> None
"""Stop retrieving events from the Event Hub and close the underlying AMQP connection and links.
:rtype: None
.. admonition:: Example:
.. literalinclude:: ../samples/sync_samples/sample_code_eventhub.py
:start-after: [START eventhub_consumer_client_close_sync]
:end-before: [END eventhub_consumer_client_close_sync]
:language: python
:dedent: 4
:caption: Close down the client.
"""
with self._lock:
for processor in self._event_processors.values():
processor.stop()
self._event_processors = {}
super(EventHubConsumerClient, self)._close()