Columnar in-memory analytics
Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.
| Linter | Message | Location |
|---|---|---|
| input-labels Identify input labels that do not match package names | label 'brotli' does not match package name 'google-brotli' | |
| input-labels Identify input labels that do not match package names | label 'apache-thrift' does not match package name 'apache-thrift:lib' | |
| input-labels Identify input labels that do not match package names | label 'zstd' does not match package name 'zstd:lib' | |
| input-labels Identify input labels that do not match package names | label 'python-3' does not match package name 'python' |