.NET for Apache Spark provides high performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data.
Las características principales de dotnet/spark son: Data Access and Processing, Language Bindings.
Las alternativas de código abierto para dotnet/spark incluyen: amerkoleci/vortice.vulkan. apache/spark-connect-go — This project houses the experimental client for Spark Connect for Apache Spark written in Golang. arakelian/java-jq — java-jq is not a re-implementation of jq in Java; instead, it embeds the necessary jq and Oniguruma native libraries… bero1985/pasvulkan — Vulkan header generator and Vulkan OOP-style API wrapper for Object Pascal (FreePascal >= 3.3.1 FPC trunk and any… cacarico/hyprlua. allendang/cimgui-go — Auto generated Go wrapper for Dear ImGui via cimgui.
This project houses the experimental client for Spark Connect for Apache Spark written in Golang.
java-jq is not a re-implementation of jq in Java; instead, it embeds the necessary jq and Oniguruma native libraries in a jar file, and then uses Java Native Access (JNA) to call the embedded libraries in a Java-friendly way.
Auto generated Go wrapper for Dear ImGui via cimgui