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Learn how to send custom headers and other authentication metadata in your queries. Apollo Client provides APIs for managing both remote and local data, enabling you to consolidate all of your application's state. Apollo Client's normalized cache enables you to skip network requests entirely when data is already available locally. These are the read and write operations of GraphQL. We recommend the following articles in particular:
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Community driven: Share knowledge with thousands of developers in the GraphQL community.Īfter you get started, check out the full Apollo Client documentation in the navigation on the left.Universally compatible: Use any build setup and any GraphQL API.Incrementally adoptable: Drop Apollo into any JavaScript app and incorporate it feature by feature.Designed for modern React: Take advantage of the latest React features, such as hooks.Excellent developer experience: Enjoy helpful tooling for TypeScript, Chrome / Firefox devtools, and VS Code.Declarative data fetching: Write a query and receive data without manually tracking loading states.The core library provides built-in integration with React, and the larger Apollo community maintains integrations for other popular view layers.
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Use it to fetch, cache, and modify application data, all while automatically updating your UI.Īpollo Client helps you structure code in an economical, predictable, and declarative way that's consistent with modern development practices. Memory Sanitizer (MSAN)įor detecting use of uninitialized memory, you can use Clang's memory sanitizer (MSAN) by compiling with SANITIZE_MEMORY=1.Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. For now, Julia also sets detect_leaks=0, but this should be removed in the future. For example, memory usage can be reduced by specifying fast_unwind_on_malloc=0 and malloc_context_size=2, at the cost of backtrace accuracy. You can define other options using the ASAN_OPTIONS environment flag, in which case you'll need to repeat the default option mentioned before. For example, using ASAN for Julia and LLVM makes testall1 takes 8-10 times as long while using 20 times as much memory (this can be reduced to respectively a factor of 3 and 4 by using the options described below).īy default, Julia sets the allow_user_segv_handler=1 ASAN flag, which is required for signal delivery to work properly. Note that these options incur a high performance and memory cost. In addition, you can specify LLVM_SANITIZE=1 to sanitize the LLVM library as well. By compiling with SANITIZE=1 you enable ASAN for the Julia compiler and its generated code. Address Sanitizer (ASAN)įor detecting or debugging memory bugs, you can use Clang's address sanitizer (ASAN). You can then refer to this toolchain from another build folder by specifying USECLANG=1 while overriding the CC and CXX variables. This implies that the LLVM version of your host compiler matches that of the LLVM library used within Julia.Īn easy solution is to have an dedicated build folder for providing a matching toolchain, by building with BUILD_LLVM_CLANG=1.
Using Clang's sanitizers obviously require you to use Clang ( USECLANG=1), but there's another catch: most sanitizers require a run-time library, provided by the host compiler, while the instrumented code generated by Julia's JIT relies on functionality from that library. Edit on GitHub Sanitizer support General considerations
To review, open the file in an editor that reveals hidden Unicode characters. Noteworthy Differences from other Languages cfblog-devdocs-0.js This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below.Multi-processing and Distributed Computing.