A SQL parser for JavaScript and TypeScript, powered by datafusion-sqlparser-rs via WASM
datafusion
datafusion client for Node.js
ChartML DataFusion transform plugin — SQL/aggregate/forecast
WASM bindings for Apache DataFusion
Browser-native semantic SQL engine powered by DataFusion WASM
A SQL parser for JavaScript and TypeScript, powered by datafusion-sqlparser-rs via WASM
A WebAssembly (WASM) wrapper around the (DataFusion) SQLParser Rust crate, providing SQL parsing capabilities in the browser and Node.js environments.
Apache DataFusion Node.js binding
A SQL parser for JavaScript and TypeScript, powered by datafusion-sqlparser-rs via WASM
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Browser-native semantic SQL engine powered by DataFusion WASM
WASM bindings for Apache DataFusion
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
Apache DataFusion Node.js binding
DataFusion is an in-memory query engine that uses Apache Arrow as the memory model
High-performance ClickHouse integration for Apache DataFusion with federation support
pg_catalog compatibility for datafusion
Exporting datafusion query engine with postgres wire protocol
Command-line tool for DataFusion's Postgres Protocol frontend
ORC file format support for Apache DataFusion
Arrow data mapping and encoding/decoding for Postgres
DataFusion tracing of execution plans
Foreign Function Interface implementation for DataFusion
Web server library for session-based queries using Arrow and other large datasets as data sources.
DataFusion sqllogictest driver
An opinionated and batteries included DataFusion implementation
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Apache Arrow DataFusion is an extensible query execution framework that uses Apache Arrow as its in-memory format.
yet another Ruby bindings of Apache Arrow Datafusion
This is the simple REST client for Cloud Data Fusion API V1beta1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Cloud Data Fusion API, but note that some services may provide a separate modern client that is easier to use.
This is the simple REST client for Cloud Data Fusion API V1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Cloud Data Fusion API, but note that some services may provide a separate modern client that is easier to use.
I introduced Ruby and Apache Arrow integration including the "super fast large data interchange and processing" Apache Arrow feature at RubyKaigi Takeout 2021. This talk introduces how we can use the "super fast large data interchange and processing" Apache Arrow feature in Ruby. Here are some use cases: * Fast data retrieval (fast (({pluck}))) from DB such as MySQL and PostgreSQL for batch processes in a Ruby on Rails application * Fast data interchange with JavaScript for dynamic visualization in a Ruby on Rails application * Fast OLAP with in-process DB such as DuckDB and Apache Arrow DataFusion in a Ruby on Rails application or irb session
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