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Checkpoint Store

SetupArrowConnect to DataArrowCreate ExpectationsArrowValidate Data

Overview​

Definition​

A Checkpoint Store is a connector to store and retrieve information about means for validating data in a production deployment of Great Expectations.

Features and promises​

The Checkpoint Store manages storage and retrieval of CheckpointThe primary means for validating data in a production deployment of Great Expectations. configurations for the Data ContextThe primary entry point for a Great Expectations deployment, with configurations and methods for all supporting components.. Checkpoint configurations can be added through the Data Context's add_checkpoint() method and retrieved with its get_checkpoint method. A configured Checkpoint Store is not required in order to work with Great Expectations, however a local configuration for a Checkpoint Store will be added automatically to great_expectations.yml when you store a Checkpoint configuration for the first time.

Generally speaking, while working with Great Expectations to ValidateThe act of applying an Expectation Suite to a Batch. data you will not need to interact with a Checkpoint Store directly outside configuring the StoreA connector to store and retrieve information about metadata in Great Expectations.. Instead, your Data Context will use the Checkpoint Store to store and retrieve Checkpoints behind the scenes, and the objects you will directly work with will be those Checkpoints.

Relationship to other objects​

The Data Context will use your Checkpoint Store to store Checkpoint configurations and retrieve those configurations when initializing Checkpoints. Typically, the Checkpoint Store will not need to interact with anything other than the Data Context and the configuration information being stored.

Use cases​

Setup

Validate Data

When you save your first Checkpoint, a Checkpoint Store configuration will automatically be added to great_expectations.yml. If you wish, you can adjust this configuration but in most cases the default will suffice. Whenever you request an existing Checkpoint from your Data Context it will use the Checkpoint Store behind the scenes to retrieve that Checkpoint's configuration and initialize it. Likewise, when you instruct your Data Context to store a newly created or edited Checkpoint it will use the Checkpoint Store behind the scenes to store that Checkpoint's configuration.

API basics​

How to access​

Your Data Context will handle accessing your Checkpoint Store behind the scenes when you use it to store or retrieve a Checkpoint's configuration. Rather than interacting with the Checkpoint Store itself, you will generally be interacting with your Data Context and a Checkpoint.