Overview

Typed, batch-preserving GPU table primitives for rendering, transforms, and compute.

Start Here

• Read the GPU Tables guide for end-to-end attribute and storage workflows.
• Read GPU Table Structure for the logical-column and physical-batch object model.
• Use GPUTable for data ownership and GPUTableShaderBindings for backend-specific shader resources.
• Use @luma.gl/arrow adapters when source data is Apache Arrow.

API Reference

• GPU Table Structure
• GPU Table Lifecycle
• GPUTable
• GPUConstant
• GPURecordBatch
• GPUVector
• GPUData
• GPUDataView
• GPUSchema
• GPUInputSchema
• GPUTable Shader Bindings
• GPUVectorFormat
• GPUTableBufferPlanner
• Supported Arrow Types

The @luma.gl/tables module owns reusable table-side GPU objects such as GPUData, GPUDataView, GPUVector, GPUConstant, GPURecordBatch, and GPUTable, plus structural typing types such as GPUSchema, GPUField, GPUTypeMap, GPUVectorFormat, GPUDataStructFormat, and VertexList. Physical struct formats let one GPUData expose named zero-copy child views over interleaved rows. Models can publish GPUInputSchema declarations for the prepared table inputs they accept. GPUTableShaderBindings resolves those declarations into owned, batch-preserving attribute and storage resources for a shader layout. Table-oriented execution helpers include TableTransform, GPUTableComputation, GPUTableBufferPlanner, and generated-buffer batching utilities. GPUTableModel renders preserved table batches through one model pipeline, while GPUTableGeometry exposes a packed static table as ordinary GPU geometry.

Arrow-specific construction and analysis helpers live in @luma.gl/arrow. Applications that ingest Apache Arrow data should use those adapters to build the generic GPU table objects exposed here.

Installing

npm install @luma.gl/tables