5 天之前 · Data tests are assertions you make about your models and other resources in your dbt project (e.g. sources, seeds and snapshots). When you run dbt test, dbt will tell you if each test in your project passes or fails. You can use data tests to improve the integrity of the SQL in each model by making assertions about the results generated.

Data tests are queries designed to check specific conditions in your data, and they return one row per failed test case (for example, the number of values with duplicates for the unique test). dbt reports the number of failing records as failures. Whereas, each unit test represents one 'test case', so results are always 0 (pass) or 1 (fail ...

6 天之前 · The data tests property defines assertions about a column, table, or view. The property contains a list of generic tests, referenced by name, which can include the four built-in generic tests available in dbt. For example, you can add tests that ensure a column contains no duplicates and zero null values.

2025年1月6日 · Here's everything you need to know about dbt tests, including what they are, how to write them, examples, and best practices for implementing them in your data workflow. Over 25,000 companies use dbt (data build tool), so it’s safe to say it’s quite popular in the data analytics and engineering scene.

2023年3月24日 · dbt附带四个已经定义的通用测试： unique、not_null、accepted_values 和 relationships。 简单地说: dbt使用来自通用测试块的参数化查询为每个测试构造一个select查询。

2023年10月25日 · This repository contains examples of how to implement real unit tests for a dbt data application by using the dbt-unit-testing package. You can also check the articles I wrote on testing data pipelines and data products with dbt

Our goal is to provide a resource for data professionals looking to ensure data quality, integrity, and reliability within their dbt projects through effective testing. This repository aims to create a community-driven collection of dbt tests, covering a wide range of use cases and data scenarios.

2023年2月15日 · Explore the schema test macros in the dbt-utils package or dbt-expectations for inspiration. Consider implementing source freshness reporting in dbt, as well as alerts in your ETL tool if you’re using one.

2024年12月20日 · Testing in dbt generally falls into two broad categories: Data tests: Focus on ensuring the accuracy, consistency, and completeness of your data. Think of these as guardrails that help you enforce data quality expectations. ‍ Unit tests: Focus on validating the logic of your models or macros.

dbt tests: A guide covering popular generic dbt tests spread over dbt packages, such as dbt-core, dbt-utils, dbt-expectations, and elementary. dbt has simplified the process of creating data models in SQL. Many data teams quickly grow their data warehouse to hundreds of tables.