---
type: concept
x-llmwiki:
  schemaVersion: "0.1"
  contentHash: 9ad685853a3612d452fb83a65f035ac236c9a59acea7ff04c1885019033fe9f1
  pageDirectory: concepts
  sources:
    - delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md
  confidence: 0.6
  provenanceState: inferred
  freshnessStatus: unverified
  aliases:
    - databricks-error-message-framework
    - DEMF
  citations:
    - file: delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md
title: Databricks Error Message Framework
description: The structured error classification system used by Databricks that organizes runtime errors by class name (e.g., DELTA_UNIFORM_REFRESH_INVALID_ARGUMENT) with associated cause and resolution information.
tags:
  - databricks
  - error-messages
  - architecture
timestamp: "2026-06-19T18:28:14.796Z"
---

# Databricks Error Message Framework

The **Databricks Error Message Framework** is the structured error classification system used by Databricks to report, categorize, and document runtime errors that occur during query execution, data operations, notebook runs, and API interactions. Each error is defined as a named **error condition** with a consistent schema that includes an error class, SQL state, message template, and optional parameters. ^[delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md]

## Overview

The framework organizes runtime errors into hierarchical error condition classes. Each condition has a unique class name (e.g., `DELTA_UNIFORM_REFRESH_INVALID_ARGUMENT`) that indicates the nature of the problem. This classification enables users, applications, and automated tooling to programmatically identify, handle, and respond to specific failure modes without relying on parsing unstructured error text. ^[delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md]

Error conditions are documented in a dedicated error reference that provides complete details for each class, including its message template, SQL state code (when applicable), and list of parameters that provide runtime context for debugging.

## Error Condition Schema

Each error condition in the framework contains the following components:

- **Error class** – A hierarchical, human-readable identifier (e.g., `DELTA_UNIFORM_REFRESH_INVALID_ARGUMENT`, `UNRESOLVED_COLUMN`, `DIVIDE_BY_ZERO`). The class name conveys the component and type of error.
- **SQL state** – An optional five-character SQL standard code that maps to the SQL:2003 state model for compatibility with SQL client tools.
- **Message** – A human-readable description string, often containing placeholders for runtime values (e.g., `"Invalid argument '{arg_name}' for operation '{operation_name}'"`).
- **Parameters** – A set of key-value pairs that provide contextual details about the error, such as the invalid argument value, column name, or resource identifier.

## Example: `DELTA_UNIFORM_REFRESH_INVALID_ARGUMENT`

One representative error condition is `DELTA_UNIFORM_REFRESH_INVALID_ARGUMENT`. This class covers errors that occur when invalid arguments are supplied to a [Delta Uniform](/concepts/delta-uniform.md) refresh operation. The error class name identifies the component (`DELTA_UNIFORM_REFRESH`), the error type (`INVALID_ARGUMENT`), and the nature of the failure. The full documentation for this condition, including its message template and parameter list, is available in the [Databricks Error Reference](/concepts/databricks-error-message-reference.md). ^[delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md]

## Usage

The framework is used across Databricks SQL, notebooks, Delta Lake operations, and API endpoints. Developers and operators can reference error conditions by class name in monitoring dashboards, automated retry logic, and incident response runbooks. Consistent error classification helps reduce troubleshooting time by providing a direct link to the documented cause and resolution for each failure mode.

## Related Concepts

- Error Conditions – Complete catalog of all Databricks error condition classes.
- [Databricks Error Reference](/concepts/databricks-error-message-reference.md) – Comprehensive documentation of error messages, conditions, and their meanings.
- [Delta Lake](/concepts/delta-lake.md) – The storage engine underlying many error conditions related to Delta operations.
- SQL State Codes – Standardized five-character codes for database error conditions.

## Sources

- delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md

# Citations

1. [delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws.md](/references/delta_uniform_refresh_invalid_argument-error-condition-databricks-on-aws-592e817e.md)
