Return a Schema instance from a Schema class or instance. :param type|Schema cls_or_instance: Marshmallow Schema class or instance.

Test a column aggregate expectation function Args: function (func): The function to be tested. (Must be a valid column_aggregate_

Test a column map expectation function Args: function (func): The function to be tested. (Must be a valid column_map_expectation

Write the given version number to the given _version.py file.

Build a DataConnector using the provided configuration and return the newly-built DataConnector.

Build batch kwargs generator objects from the datasource configuration. Returns: None

Call ``getter_func`` with ``data`` as its argument, and store any `ValidationErrors`. :param callable getter_func: Function for getting the s

Returns a list of filepaths associated with the given data_asset_name Args: data_asset_name: Returns:

Static helper for providing reader_fn Args: reader: the base spark reader to use; this should have had reader_options applied alr

Given validation graph, returns the ready and needed metrics necessary for validation using a traversal of validation graph (a graph structure

Runs all actions configured for this operator on the result of validating one batch against one expectation suite. If an act

Check if all uncommitted direcotries exist.

Util function for displaying nested dicts representing ge objects in cli

If we can't reflect the table, use a query to at least get column names.

Every CLI command that starts a potentially lengthy (>1 sec) computation or modifies some resources (e.g., edits the config file, adds object

Delete specified expectation suite from data_context expectation store. Args: expectation_suite_name: The name of the expectation

Expect column entries to be strings with length between a minimum value and a maximum value (inclusive). This expectation only works for stri

Checks to see if a file has a line with unique delimited values, such a line may be used as a table header. Keyword Args:

Expect the number of columns to equal a value. expect_table_column_count_to_equal is a :func:`expectation \ <great_expectations.data_

Expect the columns to exactly match a specified list. expect_table_columns_to_match_ordered_list is a :func:`expectation \ <great_exp

Search for the yml file starting here and moving upward.

Get a named expectation suite for the provided data_asset_name. Args: expectation_suite_name (str): the name for the expectation

Return a list of table expectations.

Tests whether a given object is a valid categorical partition object. :param partition_object: The partition_object to evaluate :return: Boole

Tests whether a given object is a valid categorical partition object. :param partition_object: The partition_object to evaluate :return: Boole

List currently-configured BatchKwargGenerator for this datasource. Returns: List(dict): each dictionary includes "name" and "type

Args: expectation_configuration: A potentially incomplete (partial) Expectation Configuration to match against to

Use the provided profiler to evaluate this data_asset and assign the resulting expectation suite as its own. Args: profiler: The