BackendTest
BackendTest(self, *, data_dir, tmpdir, worker_id, **kw)
The base class for managing configuration and data loading for a backend that does not require Docker for testing (this includes both in-process backends and cloud backends like Snowflake and BigQuery).
Attributes
| Name | Description | 
|---|---|
| check_dtype | Check that dtypes match when comparing Pandas Series | 
| check_names | Check that column name matches when comparing Pandas Series | 
| default_identifier_case_fn | Function applied to all identifier names to change case as necessary (e.g. Snowflake ALL_CAPS) | 
| deps | A list of dependencies that must be present to run tests. | 
| force_sort | Sort results before comparing against reference computation. | 
| native_bool | Whether backend has native boolean types | 
| reduction_tolerance | Used for a single test in test_aggregation.py. You should not need to touch this. | 
| rounding_method | Name of round method to use for rounding test comparisons. | 
| stateful | Whether special handling is needed for running a multi-process pytest run. | 
| supports_arrays | Whether backend supports Arrays / Lists | 
| supports_arrays_outside_of_select | Whether backend supports Arrays / Lists outside of Select Statements | 
| supports_divide_by_zero | Whether backend supports division by zero | 
| supports_floating_modulus | Whether backend supports floating point in modulus operations | 
| supports_json | Whether backend supports operating on JSON | 
| supports_map | Whether backend supports mappings (currently DuckDB, Snowflake, and Trino) | 
| supports_structs | Whether backend supports Structs | 
| supports_tpch | Child class defines a load_tpch method that loads the required TPC-H tables into a connection. | 
| supports_window_operations | Whether backend supports Window Operations | 
Methods
| Name | Description | 
|---|---|
| assert_frame_equal | Compare two Pandas DataFrames optionally ignoring order, and dtype. | 
| assert_series_equal | Compare two Pandas Series, optionally ignoring order, dtype, and column name. | 
| connect | Return a connection with data loaded from data_dir. | 
| load_data | Load testdata from data_dir. | 
| postload | Code to execute after loading data. | 
| preload | Code to execute before loading data. | 
| skip_if_missing_deps | Add an importorskip for any missing dependencies. | 
assert_frame_equal
assert_frame_equal(left, right, *args, **kwargs)
Compare two Pandas DataFrames optionally ignoring order, and dtype.
force_sort, and check_dtype are set as class-level variables.
assert_series_equal
assert_series_equal(left, right, *args, **kwargs)
Compare two Pandas Series, optionally ignoring order, dtype, and column name.
force_sort, check_dtype, and check_names are set as class-level variables.
connect
connect(tmpdir, worker_id, **kw)
Return a connection with data loaded from data_dir.
load_data
load_data(data_dir, tmpdir, worker_id, **kw)
Load testdata from data_dir.
postload
postload(**_)
Code to execute after loading data.
preload
preload()
Code to execute before loading data.
skip_if_missing_deps
skip_if_missing_deps()
Add an importorskip for any missing dependencies.