Azure Core shared library for Java - version 1.54.1
Azure Core provides shared primitives, abstractions, and helpers for modern Java Azure SDK client libraries.
These libraries follow
the Azure SDK Design Guidelines for Java
and can be easily identified by package names starting with com.azure
and module names starting with azure-
,
e.g. com.azure.storage.blobs
would be found within the /sdk/storage/azure-storage-blob
directory. A more complete
list of client libraries using Azure Core can be
found here.
Azure Core allows client libraries to expose common functionality consistently, so that once you learn how to use these APIs in one client library, you will know how to use them in other client libraries.
Getting started
Prerequisites
- A Java Development Kit (JDK), version 8 or later.
- Here are details about Java 8 client compatibility with Azure Certificate Authority.
Include the package
Include the BOM file
Please include the azure-sdk-bom to your project to take dependency on the General Availability (GA) version of the library. In the following snippet, replace the {bom_version_to_target} placeholder with the version number. To learn more about the BOM, see the AZURE SDK BOM README.
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-sdk-bom</artifactId>
<version>{bom_version_to_target}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
and then include the direct dependency in the dependencies section without the version tag. Typically, you won't need to install or depend on Azure Core, instead it will be transitively downloaded by your build tool when you depend on client libraries using it.
<dependencies>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-core</artifactId>
</dependency>
</dependencies>
Include direct dependency
If you want to take dependency on a particular version of the library that is not present in the BOM, add the direct dependency to your project as follows.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-core</artifactId>
<version>1.54.1</version>
</dependency>
Key concepts
The key concepts of Azure Core (and therefore all Azure client libraries using Azure Core) include:
- Configuring service clients, e.g. configuring retries, logging, etc. (
HttpTrait<T>
,ConfigurationTrait<T>
, etc.) - Accessing HTTP response details (
Response<T>
). - Calling long-running operations (
PollerFlux<T>
). - Paging and asynchronous streams (
ContinuablePagedFlux<T>
). - Exceptions for reporting errors from service requests consistently.
- Abstractions for representing Azure SDK credentials.
- Operation timeouts
These will be introduced by way of the examples presented below.
Examples
Accessing HTTP Response Details Using Response<T>
Service clients have methods that call Azure services, we refer call these methods service methods.
Service methods can return a shared Azure Core type Response<T>
. This type provides access to both the
deserialized result of the service call and to the details of the HTTP response returned from the server.
HTTP pipelines with HttpPipeline
HttpPipeline
is a construct that contains a list of HttpPipelinePolicy
which are applied to a request
sequentially to prepare it being sent by an HttpClient
.
Exception Hierarchy with AzureException
AzureException
is the root exception in the hierarchy used in Azure Core. Additional exceptions such as
HttpRequestException
and HttpResponseException
are used to reduce the scope of exception reasons.
Pagination with ContinuablePagedFlux<T>
ContinuablePageFlux
manages sending an initial page request to a service and retrieving additional pages as the
consumer requests more data until the consumer finishes processing or all pages have been consumed.
Long Running Operations with PollerFlux<T>
PollerFlux
manages sending an initial service request and requesting processing updates on a fix interval until
polling is cancelled or reaches a terminal state.
Configuring Builders
Builders are used to create service clients and some TokenCredential
implementations. They can be configured with a
variety of options, including HttpPipeline
and HttpClient
for HTTP-based clients and more general options such as
Configuration
andendpoint
. To allow for simpler integration into frameworks such as Spring and to allow generic
methods to be used for all builders azure-core
provides a set of interfaces that can be implemented to provide
the necessary functionality.
HttpTrait
HttpTrait<T>
contains methods for setting key configurations for HTTP-based clients. This interface will allow you to
configure the HttpClient
, HttpPipeline
, HttpPipelinePolicy
s, RetryOptions
, HttpLogOptions
, and ClientOptions
(preferably HttpClientOptions
as it is more specific for HTTP-based service clients).
For builders that expose HttpTrait<T>
, if an HttpPipeline
or HttpClient
isn't set a default instance will be
created based on classpath configurations and the ClientOptions
based to the builder. This can cause confusion if
you're expecting specific behavior for your client, such as using a proxy that wasn't loaded from the environment. To
avoid this, it is recommended to always set the HttpPipeline
or HttpClient
in all clients if you're building if your
configurations aren't based on the environment running the application.
Credential Traits
Azure Core provides different credentials for authenticating with Azure services. Each credential type has a corresponding trait that can be implemented to provide the credential to the client builder. The following table lists the credential traits and the corresponding credential type.
Credential Trait | Credential Type |
---|---|
AzureKeyCredentialTrait |
AzureKeyCredential |
AzureNamedKeyCredentialTrait |
AzureNamedKeyCredential |
AzureSasCredentialTrait |
AzureSasCredential |
ConnectionStringCredentialTrait |
String (there is no formal type for connection strings) |
KeyCredentialTrait |
KeyCredential |
TokenCredentialTrait |
TokenCredential |
ConfigurationTrait
ConfigurationTrait<T>
allows for setting Configuration
on service clients. Configuration
can be used to pass a set
of runtime behaviors to the client builder such as how ProxyOptions
are loaded from the environment, implicitly
passing credentials to some client builders that support it, and more.
EndpointTrait
EndpointTrait<T>
allows for setting the service endpoint on service clients.
Operation Timeouts
Azure SDKs provide a few, consistent ways to configure timeouts on API calls. Each timeout effects a different scope of the Azure SDKs and calling application.
HTTP Timeouts
HTTP timeouts are the lowest level of timeout handling the Azure SDKs provide. These timeouts can be configured when
building HttpClient
s or using HttpClientOptions
when building service clients without configuring an HttpClient
yourself. The following table lists the HTTP timeout, the corresponding HttpClientOptions
method that can be used to
set it, environment variable to control the default value, the default value if the environment value isn't set, and a
brief description of what the timeout effects.
HTTP Timeout | HttpClientOptions Method |
Environment Variable | Default Value | Description |
---|---|---|---|---|
Connect Timeout | setConnectTimeout(Duration) |
AZURE_REQUEST_CONNECT_TIMEOUT | 10 seconds | The amount of time for a connection to be established before timing out. |
Write Timeout | setWriteTimeout(Duration) |
AZURE_REQUEST_WRITE_TIMEOUT | 60 seconds | The amount of time between each request data write to the network before timing out. |
Response Timeout | setResponseTimeout(Duration) |
AZURE_REQUEST_RESPONSE_TIMEOUT | 60 seconds | The amount of time between finishing sending the request to receiving the first response bytes before timing out. |
Read Timeout | setReadTimeout(Duration) |
AZURE_REQUEST_READ_TIMEOUT | 60 seconds | The amount of time between each response data read from the network before timing out. |
Since these timeouts are closest to the network, if they trigger they will be propagated back through the HttpPipeline
and generally should be retried by the RetryPolicy
.
HttpPipeline Timeouts
HttpPipeline timeouts are the next level of timeout handling the Azure SDKs provide. These timeouts are configured using
an HttpPipelinePolicy
and configuring a timeout using either Mono.timeout
for asynchronous requests or an
ExecutorService
with a timed get(long, TimeUnit)
for synchronous requests.
Depending on the location within the HttpPipeline
, these timeouts may be captured by the RetryPolicy
and retried.
If the timeout policy is PER_RETRY
(HttpPipelinePolicy.getPipelinePosition()
) the timeout will be captured by the
RetryPolicy
as it will be positioned after the RetryPolicy
, therefore in its capture scope, if it is PER_CALL
retrying the request will need to be handled by application logic.
Service Client Timeouts
Service client timeouts are the highest level of timeout handling the Azure SDKs provide. These timeouts are configured
by passing Duration timeout
into synchronous service methods that support timeouts or by using Mono.timeout
or
Flux.timeout
on asynchronous service methods.
Since these timeouts are on the API call itself they cannot be captured by any retry mechanisms within the Azure SDKs and must be handled by application logic.
Next steps
Get started with Azure libraries that are built using Azure Core.
Troubleshooting
If you encounter any bugs, please file issues via GitHub Issues or checkout StackOverflow for Azure Java SDK.
Enabling Logging
Azure SDKs for Java provide a consistent logging story to help aid in troubleshooting application errors and expedite their resolution. The logs produced will capture the flow of an application before reaching the terminal state to help locate the root issue. View the logging documentation for guidance about enabling logging.
HTTP Request and Response Logging
HTTP request and response logging can be enabled by setting HttpLogDetailLevel
in the HttpLogOptions
used to create
an HTTP-based service client or by setting the environment variable or system property AZURE_HTTP_LOG_DETAIL_LEVEL
.
The following table displays the valid options for AZURE_HTTP_LOG_DETAIL_LEVEL
and the HttpLogDetailLevel
it
correlates to (valid options are case-insensitive):
AZURE_HTTP_LOG_DETAIL_LEVEL value |
HttpLogDetailLevel enum |
---|---|
basic |
HttpLogDetailLevel.BASIC |
headers |
HttpLogDetailLevel.HEADERS |
body |
HttpLogDetailLevel.BODY |
body_and_headers |
HttpLogDetailLevel.BODY_AND_HEADERS |
bodyandheaders |
HttpLogDetailLevel.BODY_AND_HEADERS |
All other values, or unsupported values, result in HttpLogDetailLevel.NONE
, or disabled HTTP request and response
logging. Logging must be enabled to log HTTP requests and responses. Logging of HTTP headers
requires verbose
logging to be enabled. The following table explains what logging is enabled for each HttpLogDetailLevel
:
HttpLogDetailLevel value |
Logging enabled |
---|---|
HttpLogDetailLevel.NONE |
No HTTP request or response logging |
HttpLogDetailLevel.BASIC |
HTTP request method, response status code, and request and response URL |
HttpLogDetailLevel.HEADERS |
All of HttpLogDetailLevel.BASIC and request and response headers if the log level is verbose |
HttpLogDetailLevel.BODY |
All of HttpLogDetailLevel.BASIC and request and response body if it's under 10KB in size |
HttpLogDetailLevel.BODY_AND_HEADERS |
All of HttpLogDetailLevel.HEADERS and HttpLogDetailLevel.BODY |
Contributing
For details on contributing to this repository, see the contributing guide.
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
Azure SDK for Java