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Copy file name to clipboardExpand all lines: articles/azure-video-indexer/textless-slate-scene-matching.md
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> [!div class="mx-imgBorder"]
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> :::image type="content" source="./media/slate-detection-process/advanced-setting.png" alt-text="This image shows the advanced setting in order to view post-production clapperboards insights.":::
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After the file has been uploaded and indexed, if you want to view the timeline of the insight, select the **Post-production** checkmark from the list of insights.
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> [!div class="mx-imgBorder"]
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> :::image type="content" source="./media/slate-detection-process/post-production-checkmark.png" alt-text="This image shows the post-production checkmark needed to view clapperboards.":::
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### Insight
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This insight can only be viewed in the form of the downloaded json file.
Copy file name to clipboardExpand all lines: articles/digital-twins/concepts-event-notifications.md
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description: Learn to interpret various event types and their different notification messages.
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author: baanders
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ms.author: baanders # Microsoft employees only
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ms.date: 03/01/2022
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ms.date: 09/20/2022
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ms.topic: conceptual
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ms.service: digital-twins
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ms.custom: contperf-fy21q4
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}
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```
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This data is the information that will go in the `data` field of the lifecycle notification message.
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>[!NOTE]
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> Azure Digital Twins currently doesn't support [filtering events](how-to-manage-routes.md#filter-events) based on fields within an array. This includes filtering on properties within a `patch` section of a digital twin change notification.
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## Digital twin lifecycle notifications
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## Digital twin telemetry messages
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*Telemetry messages* are received in Azure Digital Twins from connected devices that collect and send measurements.
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Digital twins can use the [SendTelemetry API](/rest/api/digital-twins/dataplane/twins/digitaltwins_sendtelemetry) to emit *telemetry messages*and send them to egress endpoints.
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### Properties
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| Name | Value |
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| --- | --- |
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|`id`| Identifier of the notification, which is provided by the customer when calling the telemetry API. |
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|`source`| Fully qualified name of the twin that the telemetry event was sent to. Uses the following format: `<your-Digital-Twin-instance>.api.<your-region>.digitaltwins.azure.net/<twin-ID>`. |
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|`source`| Fully qualified name of the twin that the telemetry event was sent from. Uses the following format: `<your-Digital-Twin-instance>.api.<your-region>.digitaltwins.azure.net/<twin-ID>`. |
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|`specversion`|*1.0*<br>The message conforms to this version of the [CloudEvents spec](https://github.com/cloudevents/spec). |
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|`type`|`microsoft.iot.telemetry`|
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|`data`| The telemetry message that has been sent to twins. The payload is unmodified and may not align with the schema of the twin that has been sent the telemetry. |
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|`data`| The telemetry message being sent from the twin. The payload does not need to align with any schema defined in your Azure Digital Twins instance. |
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|`dataschema`| The data schema is the model ID of the twin or the component that emits the telemetry. For example, `dtmi:example:com:floor4;2`. |
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|`datacontenttype`|`application/json`|
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|`traceparent`| A W3C trace context for the event. |
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### Body details
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The body contains the telemetry measurement along with some contextual information about the device.
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The body contains the telemetry measurement along with some contextual information about the twin.
Copy file name to clipboardExpand all lines: articles/service-bus-messaging/service-bus-performance-improvements.md
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title: Best practices for improving performance using Azure Service Bus
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description: Describes how to use Service Bus to optimize performance when exchanging brokered messages.
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ms.topic: article
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ms.date: 02/16/2022
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ms.date: 09/28/2022
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ms.devlang: csharp
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---
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## Resource planning and considerations
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As with any technical resourcing, prudent planning is key in ensuring that Azure Service Bus is providing the performance that your application expects. The right configuration or topology for your Service Bus namespaces depends on a host of factors involving your application architecture and how each of the Service Bus features are used.
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As with any technical resourcing, prudent planning is key in ensuring that Azure Service Bus is providing the performance that your application expects. The right configuration or topology for your Service Bus namespaces depends on a host of factors involving your application architecture and how each of the Service Bus features is used.
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### Pricing tier
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Service Bus offers various pricing tiers. It is recommended to pick the appropriate tier for your application requirements.
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Service Bus offers various pricing tiers. It's recommended to pick the appropriate tier for your application requirements.
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***Standard tier** - Suited for developer/test environments or low throughput scenarios where the applications are **not sensitive** to throttling.
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***Premium tier** - Suited for production environments with varied throughput requirements where predictable latency and throughput is required. Additionally, Service Bus premium namespaces can be [auto scaled](automate-update-messaging-units.md) and can be enabled to accommodate spikes in throughput.
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***Premium tier** - Suited for production environments with varied throughput requirements where predictable latency and throughput are required. Additionally, Service Bus premium namespaces can be [auto scaled](automate-update-messaging-units.md) and can be enabled to accommodate spikes in throughput.
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> [!NOTE]
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> If the right tier is not picked, there is a risk of overwhelming the Service Bus namespace which may lead to [throttling](service-bus-throttling.md).
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#### Benchmarks
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Here is a [GitHub sample](https://github.com/Azure-Samples/service-bus-dotnet-messaging-performance) which you can run to see the expected throughput you will receive for your SB namespace. In our [benchmark tests](https://techcommunity.microsoft.com/t5/Service-Bus-blog/Premium-Messaging-How-fast-is-it/ba-p/370722), we observed approximately 4 MB/second per Messaging Unit (MU) of ingress and egress.
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Here's a [GitHub sample](https://github.com/Azure-Samples/service-bus-dotnet-messaging-performance) which you can run to see the expected throughput you'll receive for your SB namespace. In our [benchmark tests](https://techcommunity.microsoft.com/t5/Service-Bus-blog/Premium-Messaging-How-fast-is-it/ba-p/370722), we observed approximately 4 MB/second per Messaging Unit (MU) of ingress and egress.
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The benchmarking sample doesn't use any advanced features, so the throughput your applications observe will be different based on your scenarios.
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7. De-duplication & look back time window.
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8. Forward to (forwarding from one entity to another).
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If your application leverages any of the above features and you are not receiving the expected throughput, you can review the **CPU usage** metrics and consider scaling up your Service Bus Premium namespace.
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If your application leverages any of the above features and you aren't receiving the expected throughput, you can review the **CPU usage** metrics and consider scaling up your Service Bus Premium namespace.
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You can also utilize Azure Monitor to [automatically scale the Service Bus namespace](automate-update-messaging-units.md).
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Additional store operations that occur during this interval are added to the batch. Batched store access only affects **Send** and **Complete** operations; receive operations aren't affected. Batched store access is a property on an entity. Batching occurs across all entities that enable batched store access.
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When creating a new queue, topic or subscription, batched store access is enabled by default.
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When you create a new queue, topic or subscription, batched store access is enabled by default.
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When a message is prefetched, the service locks the prefetched message. With the lock, the prefetched message can't be received by a different receiver. If the receiver can't complete the message before the lock expires, the message becomes available to other receivers. The prefetched copy of the message remains in the cache. The receiver that consumes the expired cached copy will receive an exception when it tries to complete that message. By default, the message lock expires after 60 seconds. This value can be extended to 5 minutes. To prevent the consumption of expired messages, set the cache size smaller than the number of messages that a client can consume within the lock timeout interval.
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When using the default lock expiration of 60 seconds, a good value for `PrefetchCount` is 20 times the maximum processing rates of all receivers of the factory. For example, a factory creates three receivers, and each receiver can process up to 10 messages per second. The prefetch count shouldn't exceed 20 X 3 X 10 = 600. By default, `PrefetchCount` is set to 0, which means that no additional messages are fetched from the service.
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When you use the default lock expiration of 60 seconds, a good value for `PrefetchCount` is 20 times the maximum processing rates of all receivers of the factory. For example, a factory creates three receivers, and each receiver can process up to 10 messages per second. The prefetch count shouldn't exceed 20 X 3 X 10 = 600. By default, `PrefetchCount` is set to 0, which means that no additional messages are fetched from the service.
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Prefetching messages increases the overall throughput for a queue or subscription because it reduces the overall number of message operations, or round trips. Fetching the first message, however, will take longer (because of the increased message size). Receiving prefetched messages from the cache will be faster because these messages have already been downloaded by the client.
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There are some challenges with having a greedy approach, that is, keeping the prefetch count high, because it implies that the message is locked to a particular receiver. The recommendation is to try out prefetch values between the thresholds mentioned above and empirically identify what fits.
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## Multiple queues
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## Multiple queues or topics
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If a single queue or topic can't handle the expected, use multiple messaging entities. When using multiple entities, create a dedicated client for each entity, instead of using the same client for all entities.
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More queues or topics mean that you have more entities to manage at deployment time. From a scalability perspective, there really isn't too much of a difference that you would notice as Service Bus already spreads the load across multiple logs internally, so if you use six queues or topics or two queues or topics won't make a material difference.
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The tier of service you use impacts performance predictability. If you choose **Standard** tier, throughput and latency are best effort over a shared multi-tenant infrastructure. Other tenants on the same cluster may impact your throughput. If you choose **Premium**, you get resources that give you predictable performance, and your multiple queues or topics get processed out of that resource pool. For more information, see [Pricing tiers](#pricing-tier).
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## Scenarios
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The following sections describe typical messaging scenarios and outline the preferred Service Bus settings. Throughput rates are classified as small (less than 1 message/second), moderate (1 message/second or greater but less than 100 messages/second) and high (100 messages/second or greater). The number of clients are classified as small (5 or fewer), moderate (more than 5 but less than or equal to 20), and large (more than 20).
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Goal: Maximize the throughput of a topic with a large number of subscriptions. A message is received by many subscriptions, which means the combined receive rate over all subscriptions is much larger than the send rate. The number of senders is small. The number of receivers per subscription is small.
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Topics with a large number of subscriptions typically expose a low overall throughput if all messages are routed to all subscriptions. It's because each message is received many times, and all messages in a topic and all its subscriptions are stored in the same store. The assumption here is that the number of senders and number of receivers per subscription is small. Service Bus supports up to 2,000 subscriptions per topic.
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Topics with a large number of subscriptions typically expose a low overall throughput if all messages are routed to all subscriptions. It's because each message is received many times, and all messages in a topic and all its subscriptions are stored in the same store. The assumption here's that the number of senders and number of receivers per subscription is small. Service Bus supports up to 2,000 subscriptions per topic.
Copy file name to clipboardExpand all lines: articles/service-bus-messaging/service-bus-transactions.md
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title: Overview of transaction processing in Azure Service Bus
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description: This article gives you an overview of transaction processing and the send via feature in Azure Service Bus.
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ms.topic: article
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ms.date: 03/21/2022
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ms.date: 09/28/2022
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ms.devlang: csharp
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This article discusses the transaction capabilities of Microsoft Azure Service Bus. Much of the discussion is illustrated by the [AMQP Transactions with Service Bus sample](https://github.com/Azure/azure-service-bus/tree/master/samples/DotNet/Microsoft.Azure.ServiceBus/TransactionsAndSendVia/TransactionsAndSendVia/AMQPTransactionsSendVia). This article is limited to an overview of transaction processing and the *send via* feature in Service Bus, while the Atomic Transactions sample is broader and more complex in scope.
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> [!NOTE]
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> The basic tier of Service Bus doesn't support transactions. The standard and premium tiers support transactions. For differences between these tiers, see [Service Bus pricing](https://azure.microsoft.com/pricing/details/service-bus/).
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> - The basic tier of Service Bus doesn't support transactions. The standard and premium tiers support transactions. For differences between these tiers, see [Service Bus pricing](https://azure.microsoft.com/pricing/details/service-bus/).
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> - Mixing management and messaging operations in a transaction isn't supported.
Copy file name to clipboardExpand all lines: articles/storage/blobs/storage-auth-abac-attributes.md
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---
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title: Actions and attributes for Azure role assignment conditions in Azure Storage
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title: Actions and attributes for Azure role assignment conditions for Azure Blob Storage
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titleSuffix: Azure Storage
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description: Supported actions and attributes for Azure role assignment conditions and Azure attribute-based access control (Azure ABAC) in Azure Storage.
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description: Supported actions and attributes for Azure role assignment conditions and Azure attribute-based access control (Azure ABAC) for Azure Blob Storage.
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services: storage
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author: jimmart-dev
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ms.service: storage
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ms.topic: conceptual
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ms.date: 09/14/2022
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ms.date: 09/28/2022
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ms.subservice: blobs
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# Actions and attributes for Azure role assignment conditions in Azure Storage (preview)
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# Actions and attributes for Azure role assignment conditions for Azure Blob Storage (preview)
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> [!IMPORTANT]
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> Azure ABAC and Azure role assignment conditions are currently in preview.
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> |[Sets the access tier on a blob](#sets-the-access-tier-on-a-blob)|`Microsoft.Storage/storageAccounts/blobServices/containers/blobs/write`|`Blob.Write.Tier`|
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> |[Write to a blob with blob index tags](#write-to-a-blob-with-blob-index-tags)|`Microsoft.Storage/storageAccounts/blobServices/containers/blobs/write` <br/> `Microsoft.Storage/storageAccounts/blobServices/containers/blobs/add/action`|`Blob.Write.WithTagHeaders`|
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## Azure Blob storage actions and suboperations
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## Azure Blob Storage actions and suboperations
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This section lists the supported Azure Blob storage actions and suboperations you can target for conditions.
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This section lists the supported Azure Blob Storage actions and suboperations you can target for conditions.
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### List blobs
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> | **Examples** | [Example: Read, write, or delete blobs in named containers](storage-auth-abac-examples.md#example-read-write-or-delete-blobs-in-named-containers)<br/>[Example: Read blobs in named containers with a path](storage-auth-abac-examples.md#example-read-blobs-in-named-containers-with-a-path)<br/>[Example: Read or list blobs in named containers with a path](storage-auth-abac-examples.md#example-read-or-list-blobs-in-named-containers-with-a-path)<br/>[Example: Write blobs in named containers with a path](storage-auth-abac-examples.md#example-write-blobs-in-named-containers-with-a-path)<br/>[Example: Read only current blob versions](storage-auth-abac-examples.md#example-read-only-current-blob-versions)<br/>[Example: Read current blob versions and any blob snapshots](storage-auth-abac-examples.md#example-read-current-blob-versions-and-any-blob-snapshots)<br/>[Example: Read only storage accounts with hierarchical namespace enabled](storage-auth-abac-examples.md#example-read-only-storage-accounts-with-hierarchical-namespace-enabled) |
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> |**Learn more**|[Azure Data Lake Storage Gen2 hierarchical namespace](../blobs/data-lake-storage-namespace.md)|
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## Azure Blob storage attributes
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## Azure Blob Storage attributes
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This section lists the Azure Blob storage attributes you can use in your condition expressions depending on the action you target. If you select multiple actions for a single condition, there might be fewer attributes to choose from for your condition because the attributes must be available across the selected actions.
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This section lists the Azure Blob Storage attributes you can use in your condition expressions depending on the action you target. If you select multiple actions for a single condition, there might be fewer attributes to choose from for your condition because the attributes must be available across the selected actions.
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> [!NOTE]
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> Attributes and values listed are considered case-insensitive, unless stated otherwise.
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