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The Client interface represents an executable context such as a Worker, or a SharedWorker. Window clients are represented by the more-specific WindowClient. You can get Client/WindowClient objects from methods such as Clients.matchAll() and Clients.get().

Client libraries make it easier to accessGoogle Cloud APIs from a supported language. While you can use Google Cloud APIs directlyby making raw requests to the server, client libraries provide simplificationsthat significantly reduce the amount of code you need to write.

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This document explains the different types of client libraries that Googleprovides for Cloud APIs. You can also find out more about the availablelibraries for your product or language of choice in the product or language'sdocumentation.

A few Google Cloud APIs don't have Cloud Client Libraries available in alllanguages. If you want to use one of these APIs and there is noCloud Client Library for your preferred language, you can still use the previousstyle of client library, calledGoogle API Client Libraries.You might also use these libraries if you're upgrading a project that alreadyuses them. These libraries:

Firebase is the Google-wide solution for building applications on mobiledevices. It offers an SDK with client code that lets you access mobile-relevantCloud APIs from iOS, Android, and Web apps. For information on the supportedCloud APIs and how to get started with Firebase, see theFirebase documentation.

All Cloud APIs expose a simple traditional JSON/REST interface. If you need towrite your own custom code to directly access the REST API using a third-partyHTTP client library, you can find out more about how Cloud APIs work withdifferent HTTP versions and implementations in theHTTP Guidelines.

gRPC is a language-neutral, platform-neutral, open source, remote procedure call(RPC) system initially developed at Google. You can find out about it atgrpc.io.gRPC-enabled Cloud APIs generally have both REST and RPC interfaces, so ratherthan just using JSON over HTTP to talk to the REST interface, gRPC-enabled APIclients can also useprotocol buffers and gRPC over HTTP2 to talk to the RPC interface. You can find out if an API isgRPC-enabled by checking its APIs and Reference section.

If a Cloud API is gRPC-enabled, you can generate your own gRPC client librariesfor it in any gRPC-supported language. To do this, you'll need the API'sprotocol buffers service definition (typically available fromthe repository on GitHub).You can then follow the instructions for your preferred language ongrpc.io to generate and use your client.

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AWS Client VPN is a managed client-based VPN service that enables you to securely access your AWS resources and resources in your on-premises network. With Client VPN, you can access your resources from any location using an OpenVPN-based VPN client.

The end user connecting to the Client VPN endpoint to establish a VPN session. End users needto download an OpenVPN client and use the Client VPN configuration file thatyou created to establish a VPN session.

An IP address range from which to assign client IP addresses. Each connection to the Client VPN endpoint is assigned a unique IP address from the client CIDR range. You choose the client CIDR range, for example, 10.2.0.0/16.

When you associate a subnet with your Client VPN endpoint, we create Client VPN network interfaces in that subnet. Traffic that's sent to the VPC from the Client VPN endpoint is sent through a Client VPN network interface. Source network address translation (SNAT) is then applied, where the source IP address from the client CIDR range is translated to the Client VPN network interface IP address.

A portion of the addresses in the client CIDR range are used to support the availability model of the Client VPN endpoint, and cannot be assigned to clients. Therefore, we recommend that you assign a CIDR block that contains twice the number of IP addresses that are required to enable the maximum number of concurrent connections that you plan to support on the Client VPN endpoint.

If you enable the client connect handler for your Client VPN endpoint, you must create and invoke a Lambda function. Charges apply for invoking Lambda functions. For more information, see AWS Lambda pricing.

Big shout out to @thatsfinsweet for their client-first design system, this is the building block that I have been patiently waiting for someone to create for two years now. Used it for the first time yesterday and it is a fundamental game changer framework for organizing projects

Security advisories (ADVs) and CVEs provide information about the risk posed by these vulnerabilities, and how they help you identify the default state of mitigations for Windows client systems. The following table summarizes the requirement of CPU microcode and the default status of the mitigations on Windows clients.

We provide the following registry information to enable mitigations that are not enabled by default, as documented in Security Advisories (ADVs) and CVEs. Additionally, we provide registry key settings for users who want to disable the mitigations when applicable for Windows clients.

No. Security update 4078130 was a specific fix to prevent unpredictable system behaviors, performance issues, and/or unexpected reboots after installation of microcode. Applying the February security updates on Windows client operating systems enables all three mitigations.

As a general rule, Entity Framework Core attempts to evaluate a query on the server as much as possible. EF Core converts parts of the query into parameters, which it can evaluate on the client side. The rest of the query (along with the generated parameters) is given to the database provider to determine the equivalent database query to evaluate on the server. EF Core supports partial client evaluation in the top-level projection (essentially, the last call to Select()). If the top-level projection in the query can't be translated to the server, EF Core will fetch any required data from the server and evaluate remaining parts of the query on the client. If EF Core detects an expression, in any place other than the top-level projection, which can't be translated to the server, then it throws a runtime exception. See How queries work to understand how EF Core determines what can't be translated to server.

In the following example, a helper method is used to standardize URLs for blogs, which are returned from a SQL Server database. Since the SQL Server provider has no insight into how this method is implemented, it isn't possible to translate it into SQL. All other aspects of the query are evaluated in the database, but passing the returned URL through this method is done on the client.

While client evaluation is useful, it can result in poor performance sometimes. Consider the following query, in which the helper method is now used in a where filter. Because the filter can't be applied in the database, all the data needs to be pulled into memory to apply the filter on the client. Based on the filter and the amount of data on the server, client evaluation could result in poor performance. So Entity Framework Core blocks such client evaluation and throws a runtime exception.

In such cases, you can explicitly opt into client evaluation by calling methods like AsEnumerable or ToList (AsAsyncEnumerable or ToListAsync for async). By using AsEnumerable you would be streaming the results, but using ToList would cause buffering by creating a list, which also takes additional memory. Though if you're enumerating multiple times, then storing results in a list helps more since there's only one query to the database. Depending on the particular usage, you should evaluate which method is more useful for the case.

If you are using AsAsyncEnumerable and want to compose the query further on client side then you can use System.Interactive.Async library which defines operators for async enumerables. For more information, see client side linq operators.

Since query translation and compilation are expensive, EF Core caches the compiled query plan. The cached delegate may use client code while doing client evaluation of top-level projection. EF Core generates parameters for the client-evaluated parts of the tree and reuses the query plan by replacing the parameter values. But certain constants in the expression tree can't be converted into parameters. If the cached delegate contains such constants, then those objects can't be garbage collected since they're still being referenced. If such an object contains a DbContext or other services in it, then it could cause the memory usage of the app to grow over time. This behavior is generally a sign of a memory leak. EF Core throws an exception whenever it comes across constants of a type that can't be mapped using current database provider. Common causes and their solutions are as follows:

Older EF Core versions supported client evaluation in any part of the query--not just the top-level projection. That's why queries similar to one posted under the Unsupported client evaluation section worked correctly. Since this behavior could cause unnoticed performance issues, EF Core logged a client evaluation warning. For more information on viewing logging output, see Logging.

Optionally EF Core allowed you to change the default behavior to either throw an exception or do nothing when doing client evaluation (except for in the projection). The exception throwing behavior would make it similar to the behavior in 3.0. To change the behavior, you need to configure warnings while setting up the options for your context - typically in DbContext.OnConfiguring, or in Startup.cs if you're using ASP.NET Core. 006ab0faaa