BackendTest
BackendTest(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 |
| deps | A list of dependencies that must be present to run tests. |
| driver_supports_multiple_statements | Whether the driver supports executing multiple statements in a single call. |
| 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_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_tpcds | Child class defines a load_tpcds method that loads the required TPC-DS tables into a connection. |
| supports_tpch | Child class defines a load_tpch method that loads the required TPC-H tables into a connection. |
| tpc_absolute_tolerance | Absolute tolerance for floating point comparisons with pytest.approx in TPC correctness tests. |
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. |
| load_tpcds | Load TPC-DS data. |
| load_tpch | Load TPC-H data. |
| 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.
load_tpcds
load_tpcds()Load TPC-DS data.
load_tpch
load_tpch()Load TPC-H data.
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.