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- Why Use Event Hubs?
- Fully Managed Paas
- Support For Real-Time and Batch Processing
- Rich Ecosystem
- Key Architecture Components
- Next Steps
Data is valuable only when there is an easy way to process and get timely insights from data sources. Event Hubs provides a distributed stream processing platform with low latency and seamless integration, with data and analytics services inside and outside Azure to build your complete big data pipeline.Event Hubs represents the \\"front door\\" for an event pipeline, often called an event ingestor in solution architectures. An event ingestor is a component or service that sits between event publ...
Event Hubs is a fully managed Platform-as-a-Service (PaaS) with little configuration or management overhead, so you focus on your business solutions. Event Hubs for Apache Kafka ecosystems gives you the PaaS Kafka experience without having to manage, configure, or run your clusters.
Ingest, buffer, store, and process your stream in real time to get actionable insights. Event Hubs uses a partitioned consumer model, enabling multiple applications to process the stream concurrently and letting you control the speed of processing.Capture your data in near-real time in an Azure Blob storage or Azure Data Lake Storage for long-term retention or micro-batch processing. You can achieve this behavior on the same stream you use for deriving real-time analytics. Setting up capture...
With Event Hubs, you can start with data streams in megabytes, and grow to gigabytes or terabytes. The Auto-inflate feature is one of the many options available to scale the number of throughput units to meet your usage needs.
Event Hubs for Apache Kafka ecosystems enables Apache Kafka (1.0 and later) clients and applications to talk to Event Hubs. You do not need to set up, configure, and manage your own Kafka clusters.With a broad ecosystem available in various languages (.NET, Java, Python, Go, Node.js), you can easily start processing your streams from Event Hubs. All supported client languages provide low-level integration. The ecosystem also provides you with seamless integration with Azure services like Azur...
Event Hubs contains the following key components: 1. Event producers: Any entity that sends data to an event hub. Event publishers can publish events using HTTPS or AMQP 1.0 or Apache Kafka (1.0 and above) 2. Partitions: Each consumer only reads a specific subset, or partition, of the message stream. 3. Consumer groups: A view (state, position, or offset) of an entire event hub. Consumer groups enable consuming applications to each have a separate view of the event stream. They read the strea...
To get started using Event Hubs, see the Send and receive events tutorials: 1. .NET Core 2. .NET Framework 3. Java 4. Python 5. Node.js 6. Go 7. C (send only) 8. Apache Storm (receive only)To learn more about Event Hubs, see the following articles: 1. Event Hubs features overview 2. Frequently asked questions.
- Throughput Units
- Next Steps
The throughput capacity of Event Hubs is controlled by throughput units. Throughput units are pre-purchased units of capacity. A single throughput lets you: 1. Ingress: Up to 1 MB per second or 1000 events per second (whichever comes first). 2. Egress: Up to 2 MB per second or 4096 events per second. Beyond the capacity of the purchased throughput units, ingress is throttled and a ServerBusyException is returned. Egress does not produce throttling exceptions, but is still limited to the capacity of the purchased throughput units. If you receive publishing rate exceptions or are expecting to see higher egress, be sure to check how many throughput units you have purchased for the namespace. You can manage throughput units on the Scale blade of the namespaces in the Azure portal. You can also manage throughput units programmatically using the Event Hubs APIs. Throughput units are pre-purchased and are billed per hour. Once purchased, throughput units are billed for a minimum of one hou...
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. This pattern enables horizontal scale for event processing and provides other stream-focused features that are unavailable in queues and topics. A partition is an ordered sequence of events that is held in an event hub. As newer events arrive, they are added to the end of this sequence. A partition can be thought of as a "commit log." Event Hubs retains data for a configured retention time that applies across all partitions in the event hub. Events expire on a time basis; you cannot explicitly delete them. Because partitions are independent and contain their own sequence of data, they often grow at different rates. The number of partitions is specified at creation and must be between 2 and 32. The partition count is not changeable, so you should consider long-term scale when setting partition count. Partitions are a da...
You can learn more about Event Hubs by visiting the following links: 1. Automatically scale throughput units 2. Event Hubs service overview
Azure Event Hubs is a powerful telemetry ingestion service that can be used to stream millions of events at low cost. This article describes how to consume ingested events using the Event Processor Host (EPH); an intelligent consumer agent that simplifies the management of checkpointing, leasing, and parallel event readers.
- Outages and Disasters
- Basic Concepts and Terms
- Setup and Failover Flow
- Availability Zones
- Next Steps
It's important to note the distinction between "outages" and "disasters." An outageis the temporary unavailability of Azure Event Hubs, and can affect some components of the service, such as a messaging store, or even the entire datacenter. However, after the problem is fixed, Event Hubs becomes available again. Typically, an outage does not cause the loss of messages or other data. An example of such an outage might be a power failure in the datacenter. Some outages are only short connection losses due to transient or network issues. A disasteris defined as the permanent, or longer-term loss of an Event Hubs cluster, Azure region, or datacenter. The region or datacenter may or may not become available again, or may be down for hours or days. Examples of such disasters are fire, flooding, or earthquake. A disaster that becomes permanent might cause the loss of some messages, events, or other data. However, in most cases there should be no data loss and messages can be recovered once...
The disaster recovery feature implements metadata disaster recovery, and relies on primary and secondary disaster recovery namespaces. The Geo-disaster recovery feature is available for the standard and dedicated SKUsonly. You do not need to make any connection string changes, as the connection is made via an alias. The following terms are used in this article: 1. Alias: The name for a disaster recovery configuration that you set up. The alias provides a single stable Fully Qualified Domain Name (FQDN) connection string. Applications use this alias connection string to connect to a namespace. 2. Primary/secondary namespace: The namespaces that correspond to the alias. The primary namespace is "active" and receives messages (this can be an existing or new namespace). The secondary namespace is "passive" and does not receive messages. The metadata between both is in sync, so both can seamlessly accept messages without any application code or connection string changes. To ensure that o...
The following section is an overview of the failover process, and explains how to set up the initial failover.
If you made a mistake; for example, you paired the wrong regions during the initial setup, you can break the pairing of the two namespaces at any time. If you want to use the paired namespaces as regular namespaces, delete the alias.
The sample on GitHubshows how to set up and initiate a failover. This sample demonstrates the following concepts: 1. Settings required in Azure Active Directory to use Azure Resource Manager with Event Hubs. 2. Steps required to execute the sample code. 3. Send and receive from the current primary namespace.
Note the following considerations to keep in mind with this release: 1. By design, Event Hubs geo-disaster recovery does not replicate data, and therefore you cannot reuse the old offset value of your primary event hub on your secondary event hub. We recommend restarting your event receiver with one of the following: 1. EventPosition.FromStart()- If you wish read all data on your secondary event hub. 2. EventPosition.FromEnd()- If you wish to read all new data from the time of connection to your secondary event hub. 3. EventPosition.FromEnqueuedTime(dateTime)- If you wish to read all data received in your secondary event hub starting from a given date and time. 1. In your failover planning, you should also consider the time factor. For example, if you lose connectivity for longer than 15 to 20 minutes, you might decide to initiate the failover. 2. The fact that no data is replicated means that currently active sessions are not replicated. Additionally, duplicate detection and schedu...
The Event Hubs Standard SKU supports Availability Zones, providing fault-isolated locations within an Azure region. You can enable Availability Zones on new namespaces only, using the Azure portal. Event Hubs does not support migration of existing namespaces. You cannot disable zone redundancy after enabling it on your namespace.The sample on GitHubwalks through a simple workflow that creates a geo-pairing and initiates a failover for a disaster recovery scenario.The REST API referencedescribes APIs for performing the Geo-disaster recovery configuration.
- Send Events
- Receive Events
- Next Steps
If you are new to Azure Event Hubs, see Event Hubs overviewbefore you do this quickstart. To complete this quickstart, you need the following prerequisites: 1. Microsoft Azure subscription. To use Azure services, including Azure Event Hubs, you need a subscription. If you don't have an existing Azure account, you can sign up for a free trial or use your MSDN subscriber benefits when you create an account. 2. Python 3.4 or later, with pipinstalled and updated. 3. The Python package for Event Hubs. To install the package, run this command in a command prompt that has Python in its path:cmdpip install azure-eventhub==1.3.* 4. Create an Event Hubs namespace and an event hub. The first step is to use the Azure portal to create a namespace of type Event Hubs, and obtain the management credentials your application needs to communicate with the event hub. To create a namespace and an event hub, follow the procedure in this article. Then, get the value of access key for the event hub by foll...
To create a Python application that sends events to an event hub: 1. Open your favorite Python editor, such as Visual Studio Code 2. Create a new file called send.py. This script sends 100 events to your event hub. 3. Paste the following code into send.py, replacing the Event Hubs , , , and with your values:Pythonimport sysimport loggingimport datetimeimport timeimport osfrom azure.eventhub import EventHubClient, Sender, EventDatalogger = logging.getLogger("azure")# Address can be in either of these formats:# "amqps:// : @ .servicebus.windows.net/eventhub"# "amqps:// .servicebus.windows.net/ "# SAS policy and key are not required if they are encoded in the URLADDRESS = "amqps:// .servicebus.windows.net/ "USER = " "KEY = " "try: if not ADDRESS: raise ValueError("No EventHubs URL supplied.") # Create Event Hu...
To create a Python application that receives events from an event hub: 1. In your Python editor, create a file called recv.py. 2. Paste the following code into recv.py, replacing the Event Hubs , , , and with your values:Pythonimport osimport sysimport loggingimport timefrom azure.eventhub import EventHubClient, Receiver, Offsetlogger = logging.getLogger("azure")# Address can be in either of these formats:# "amqps:// : @ .servicebus.windows.net/myeventhub"# "amqps:// .servicebus.windows.net/ "# SAS policy and key are not required if they are encoded in the URLADDRESS = "amqps:// .servicebus.windows.net/ "USER = " "KEY = " "CONSUMER_GROUP = "$default"OFFSET = Offset("-1")PARTITION = "0"total = 0last_sn = -1last_offset = "-1"client = EventHubClient(ADDRESS, debug=False, username=USER, password=KEY)try: rece...
For more information about Event Hubs, see the following articles: 1. EventProcessorHost 2. Features and terminology in Azure Event Hubs 3. Event Hubs FAQ