databricks-large-json-safety

What problem does it solve?

Large JSON payloads for Databricks Lakeview dashboards can cause CLI or runtime crashes if not handled carefully. This guide provides safe, repeatable patterns to prevent argument limits, memory exhaustion, and slow or failed processing during dashboard creation, updates, and copies.

Core Features & Use Cases

• Safe payload handling: Avoid passing huge JSON directly through CLI arguments by using file-based workflows.
• Python-based processing: Perform read/modify/write operations in Python to minimize memory peaks and keep control over serialization.
• Use Case: CI/CD pipelines or scripted dashboard management that require robust handling of large serialized_dashboard payloads.

Quick Start

Store the large dashboard JSON in a file and use the Python-based workflow to update the Lakeview dashboard.