plateau.io.testing.update module
- plateau.io.testing.update.test_metadata_version(store_factory, bound_update_dataset, mock_default_metadata_version, backend_identifier)[source]
- plateau.io.testing.update.test_raises_on_invalid_input(store_factory, bound_update_dataset)[source]
- plateau.io.testing.update.test_schema_check_update(dfs, ok, store_factory, bound_update_dataset)[source]
- plateau.io.testing.update.test_sort_partitions_by(store_factory, metadata_version, frozen_time_em, bound_update_dataset)[source]
- plateau.io.testing.update.test_update_after_empty_partition_string_dtypes(store_factory, bound_update_dataset, storage_backend, na_value, backend_identifier)[source]
- plateau.io.testing.update.test_update_after_empty_partition_string_dtypes_categoricals(store_factory, bound_update_dataset, storage_backend, na_value, backend_identifier)[source]
- plateau.io.testing.update.test_update_dataset_with_partitions(store_factory, metadata_version, bound_update_dataset, mocker, store)[source]
- plateau.io.testing.update.test_update_dataset_with_partitions__reducer_nonexistent(store_factory, metadata_version, frozen_time_em, bound_update_dataset, store)[source]
- plateau.io.testing.update.test_update_dataset_with_partitions__reducer_partitions(store_factory, frozen_time_em, bound_update_dataset)[source]
- plateau.io.testing.update.test_update_dataset_with_partitions_delete_only(store_factory, metadata_version, frozen_time_em, bound_update_dataset, store)[source]
- plateau.io.testing.update.test_update_first_time_with_secondary_indices(store_factory, bound_update_dataset)[source]
- plateau.io.testing.update.test_update_infers_partition_on(store_factory, bound_update_dataset, df_not_nested)[source]
- plateau.io.testing.update.test_update_of_dataset_with_non_default_table_name(store_factory, bound_update_dataset)[source]
Tests that datasets with table names other than “table” can be created, updated and read successfully (regression test for issue #445).
- plateau.io.testing.update.test_update_raises_incompatible_inidces(store_factory, bound_update_dataset, df_not_nested)[source]