snowflake.snowpark_checkpoints¶

Functions

`check_with_spark`(job_context, ...[, ...])	Validate function output with Spark instance.
`check_dataframe_schema`(df, pandera_schema, ...)	Validate a DataFrame against a given Pandera schema using sampling techniques.
`check_output_schema`(pandera_schema, ...[, ...])	Decorate to validate the schema of the output of a Snowpark function.
`check_input_schema`(pandera_schema, ...[, ...])	Decorate factory for validating input DataFrame schemas before function execution.
`validate_dataframe_checkpoint`(df, ...[, ...])	Validate a Snowpark DataFrame against a specified checkpoint.

Classes

`SnowparkJobContext`(snowpark_session[, ...])	Class used to record migration results in Snowflake.
`CheckpointMode`(value)	Enum class representing the validation mode.