great_expectations.datasource.types.batch_kwargs

Module Contents

Classes

BatchMarkers(*args, **kwargs)

A BatchMarkers is a special type of BatchKwargs (so that it has a batch_fingerprint) but it generally does

PandasDatasourceBatchKwargs()

This is an abstract class and should not be instantiated. It’s relevant for testing whether

SparkDFDatasourceBatchKwargs()

This is an abstract class and should not be instantiated. It’s relevant for testing whether

SqlAlchemyDatasourceBatchKwargs()

This is an abstract class and should not be instantiated. It’s relevant for testing whether

PathBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

S3BatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

InMemoryBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

PandasDatasourceInMemoryBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

SparkDFDatasourceInMemoryBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

SqlAlchemyDatasourceTableBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

SqlAlchemyDatasourceQueryBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

SparkDFDatasourceQueryBatchKwargs(*args, **kwargs)

This is an abstract class and should not be instantiated. It’s relevant for testing whether

great_expectations.datasource.types.batch_kwargs.logger
class great_expectations.datasource.types.batch_kwargs.BatchMarkers(*args, **kwargs)

Bases: great_expectations.core.id_dict.BatchKwargs

A BatchMarkers is a special type of BatchKwargs (so that it has a batch_fingerprint) but it generally does NOT require specific keys and instead captures information about the OUTPUT of a datasource’s fetch process, such as the timestamp at which a query was executed.

property ge_load_time(self)
class great_expectations.datasource.types.batch_kwargs.PandasDatasourceBatchKwargs

Bases: great_expectations.core.id_dict.BatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

class great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceBatchKwargs

Bases: great_expectations.core.id_dict.BatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

class great_expectations.datasource.types.batch_kwargs.SqlAlchemyDatasourceBatchKwargs

Bases: great_expectations.core.id_dict.BatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property limit(self)
property schema(self)
class great_expectations.datasource.types.batch_kwargs.PathBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.PandasDatasourceBatchKwargs, great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property path(self)
property reader_method(self)
class great_expectations.datasource.types.batch_kwargs.S3BatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.PandasDatasourceBatchKwargs, great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property s3(self)
property reader_method(self)
class great_expectations.datasource.types.batch_kwargs.InMemoryBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.PandasDatasourceBatchKwargs, great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property dataset(self)
class great_expectations.datasource.types.batch_kwargs.PandasDatasourceInMemoryBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.InMemoryBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

class great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceInMemoryBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.InMemoryBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

class great_expectations.datasource.types.batch_kwargs.SqlAlchemyDatasourceTableBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.SqlAlchemyDatasourceBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property table(self)
class great_expectations.datasource.types.batch_kwargs.SqlAlchemyDatasourceQueryBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.SqlAlchemyDatasourceBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property query(self)
property query_parameters(self)
class great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceQueryBatchKwargs(*args, **kwargs)

Bases: great_expectations.datasource.types.batch_kwargs.SparkDFDatasourceBatchKwargs

This is an abstract class and should not be instantiated. It’s relevant for testing whether a subclass is allowed

property query(self)