Search Results for "thrift"

Build a reactive microservice at your pace, not theirs. Armeria is your go-to microservice framework for any situation. You can build any type of microservice leveraging your favorite technologies, including gRPC, Thrift, Kotlin, Retrofit, Reactive Streams, Spring Boot and Dropwizard. Let's embrace the reality, we almost always have to deal with more than one protocol. It was once Thrift, today it's gRPC, and REST never gets old. At the same time, you sometimes have to handle health check requests from a load balancer or even serve some static files. ...

CloudWeGo is an open-source middleware set launched by ByteDance that can be used to quickly build enterprise-class cloud native architectures. The common characteristics of CloudWeGo projects are high performance, high scalability, high reliability and focus on microservices communication and governance. Fully open source, community neutral, compatible with the community open source ecology, pluggable components, CloudWeGo components and other open source components can be integrated or...

...Pinot is designed to answer OLAP queries with low latency on immutable data and mutable data(Upsert Support) Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index, StarTree Index, Bloom Filter, Range Index, Text Search Index(Lucence/FST), Json Index, Geospatial Index. Near Realtime ingestion with Apache Kafka, Apache Pulsar, Kinesissupports JSON, Avro, ProtoBuf, Thrift formats. Apache Pinot supports dimension lookup joins currently. Full SQL join support in Apache Pinot is coming soon. In the interim, full SQL joins can be performed by querying Pinot via the Trino or PrestoDB connector. Apache Pinot provides SQL interface for querying interactively, as well as programmatically via rest-api.

...The goal of GraphQL Mesh is to let developers easily access services that are written in other APIs specs (such as gRPC, OpenAPI/Swagger, OData, SOAP/WSDL, Apache Thrift, Mongoose, PostgreSQL, Neo4j, and also GraphQL) with GraphQL queries and mutations.GraphQL Mesh gives the developer the ability to modify the output schemas, link types across schemas and merge schema types. You can even add custom GraphQL types and resolvers that fit your needs. It allows developers to control the way they fetch data, and overcome issues related to backend implementation, legacy API services, chosen schema specification and non-typed APIs.

This project comprises the core C++ HTTP abstractions used at Facebook. Internally, it is used as the basis for building many HTTP servers, proxies, and clients. This release focuses on the common HTTP abstractions and our simple HTTPServer framework. Future releases will provide simple client APIs as well. The framework supports HTTP/1.1, SPDY/3, SPDY/3.1, HTTP/2, and HTTP/3. The goal is to provide a simple, performant, and modern C++ HTTP library. Note that currently this project has been...

Scrooge is a thrift code generator written in Scala, which currently generates code for Scala, Java, Cocoa, Android, and Lua. It’s meant to be a replacement for the Apache thrift code generator and generates conforming, binary-compatible codecs by building on top of libthrift. Since Scala is API-compatible with Java, you can use the apache thrift code generator to generate Java files and use them from within Scala, but the generated code uses Java collections and mutable “bean” classes, causing some annoying boilerplate conversions to be hand-written. ...

Diffy is a traffic-shadowing and response-diffing tool that helps you validate a new version of a service against a trusted baseline before a full cutover. It acts as a proxy that fans out real production requests to three backends: the current “primary,” a “candidate” (new build), and a “shadow” baseline, then compares responses to detect behavioral differences. By using live traffic rather than synthetic tests, Diffy surfaces edge cases and data-dependent discrepancies that unit tests...

...Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in a network as you want. With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.

Eclipse Plugin, which provides support for excellent Apache Thrift serialization and service development framework.