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fix: allow Iceberg REST create-and-write with access session hints#2292

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xiaolong/issue-2236
Draft

fix: allow Iceberg REST create-and-write with access session hints#2292
lonless9 wants to merge 2 commits into
mainfrom
xiaolong/issue-2236

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@lonless9 lonless9 commented Jul 26, 2026

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@lonless9 lonless9 added the run catalog tests Trigger catalog tests on a pull request label Jul 26, 2026
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Spark 3.5.7 Test Report

Commit Information

Commit Revision Branch
After 0e83d17 refs/pull/2292/merge
Before e42e06d refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 10 14 1 6 6.21
Before 10 14 1 6 5.99
doctest-column After 33 2 5.60
Before 33 2 5.57
doctest-dataframe After 14 83 10 3 8.62
Before 14 83 10 3 8.68
doctest-functions After 13 387 9 7 17.10
Before 13 387 9 7 17.22
test-connect After 112 889 170 696 141.89
Before 112 889 170 694 138.98

Test Details

Error Counts 
          149 Total
           86 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           13 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 handle add artifacts
            9 DocTestFailure
            6 UnsupportedOperationException: PlanNode::CacheTable
            5 UnsupportedOperationException: function: input_file_name
            4 AssertionError: False is not true
            3 ValueError: Converting to Python dictionary is not supported when duplicate field names are present
            2 AnalysisException: Could not find config namespace "spark"
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' expects 2 arguments but received 3,...
            2 AnalysisException: No table format found for: orc
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AssertionError
            2 AssertionError: 0 not greater than or equal to 1
            2 IllegalArgumentException: expected value at line 1 column 1
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 'NAMESPACE', 'OR', 'TEMP', 'TEMPORARY', 'EXTERNAL', 'TABLE', 'GLOBAL', or 'VIEW'
            2 IllegalArgumentException: invalid argument: found RESET at 0:5 expected something else, ';', statement, or end of input
            2 PySparkNotImplementedError: [NOT_IMPLEMENTED] rdd() is not implemented.
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@bjwplt75b8s8lnn9byry0pm4s(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: approx quantile
            2 UnsupportedOperationException: collect metrics
            2 UnsupportedOperationException: freq items
            2 UnsupportedOperationException: function: session_window
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: user defined data type should only exist in a field
            2 UnsupportedOperationException: with watermark
            2 handle artifact statuses
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
            1 AnalysisException: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
            1 AnalysisException: expected datetime literal '-' at byte offset 2
            1 AnalysisException: not supported: qualified function name
(+1)        1 AssertionError: "Database 'memory:21a08809-cfa6-4373-bdb0-a9ca8df37532' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
(+1)        1 AssertionError: "Database 'memory:2f077d81-46b1-41ec-867d-5b316a4184ad' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: 1 != 0
            1 AssertionError: 4 != 10
            1 AssertionError: AnalysisException not raised
            1 AssertionError: AnalysisException not raised by <lambda>
            1 AssertionError: Exception not raised
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [Row([178 chars]on='<<'), Row(function='<='), Row(function='<=[13267 chars]'~')] != [Row([178 chars]on='<='), Row(function='<=>'), Row(function='<[11284 chars]'~')]
            1 AssertionError: Lists differ: [Row(id=90, name='90'), Row(id=91, name='91'), Ro[176 chars]99')] != [Row(id=15, name='15'), Row(id=16, name='16'), Ro[176 chars]24')]
            1 AssertionError: Lists differ: [Row(ln(id)=0.0, ln(id)=0.0, struct(id, name)=Row(id=[1232 chars]0'))] != [Row(ln(id)=4.31748811353631, ln(id)=4.31748811353631[1312 chars]4'))]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Andy', ag[374 chars]one)] != [Row(age=19, name='Justin'), Row(age=19, name=[374 chars]el')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Justin', [34 chars]one)] != [Row(_corrupt_record=' "age":19}\n', name=None[104 chars]el')]
            1 AssertionError: Row(point='[1.0, 2.0]', pypoint='[3.0, 4.0]') != Row(point='(1.0, 2.0)', pypoint='[3.0, 4.0]')
            1 AssertionError: StorageLevel(False, True, True, False, 1) != StorageLevel(False, False, False, False, 1)
            1 AssertionError: Struc[15 chars]eld('a', NullType(), True), StructField('b', L[51 chars]ue)]) != Struc[15 chars]eld('b', LongType(), True), StructField('c', S[15 chars]ue)])
            1 AssertionError: Struc[30 chars]estampType(), True), StructField('val', IntegerType(), True)]) != Struc[30 chars]estampType(), True), StructField('val', IntegerType(), False)])
            1 AssertionError: Struc[32 chars]e(), False), StructField('b', DoubleType(), Fa[158 chars]ue)]) != Struc[32 chars]e(), True), StructField('b', DoubleType(), Tru[154 chars]ue)])
            1 AssertionError: Struc[40 chars]ue), StructField('val', ArrayType(DoubleType(), False), True)]) != Struc[40 chars]ue), StructField('val', PythonOnlyUDT(), True)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AssertionError: dtype('<M8[us]') != 'datetime64[ns]'
            1 IllegalArgumentException: invalid argument: field not found in input schema: col1
            1 IllegalArgumentException: invalid argument: table does not exist: ObjectName([Identifier("test_table")])
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] toJSON() is not implemented.
            1 PythonException:  AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 PythonException:  AttributeError: 'list' object has no attribute 'x'
            1 PythonException:  AttributeError: 'list' object has no attribute 'y'
            1 SparkRuntimeException: Cast error: Cannot cast string '1997/02/28 10:30:00' to value of Date32 type
            1 SparkRuntimeException: Invalid argument error: 83.140 is too large to store in a Decimal128 of precision 4. Max is 9.999
            1 SparkRuntimeException: Json error: Not valid JSON: EOF while parsing a list at line 1 column 1
            1 SparkRuntimeException: Json error: Not valid JSON: expected value at line 1 column 2
            1 SparkRuntimeException: Parser error: Error while parsing value '0
            1 SparkRuntimeException: This feature is not implemented: Unsupported CAST from Map("entries": non-null Struct("key": non-null Int32, "value": non-null Int32), unsorted) to Null
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@bjwplt75b8s8lnn9byry0pm4s(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@bjwplt75b8s8lnn9byry0pm4s(plus_one@5u7wzy1x1zf4loxm9n1r277lw(#9)) PART...
            1 UnsupportedOperationException: PlanNode::ClearCache
            1 UnsupportedOperationException: PlanNode::IsCached
            1 UnsupportedOperationException: PlanNode::RecoverPartitions
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: apply in pandas with state
            1 UnsupportedOperationException: bucketing for writing listing table format
            1 UnsupportedOperationException: deduplicate within watermark
            1 UnsupportedOperationException: function: input_file_block_length
            1 UnsupportedOperationException: function: input_file_block_start
            1 UnsupportedOperationException: function: map_filter
            1 UnsupportedOperationException: function: map_zip_with
            1 UnsupportedOperationException: function: transform_keys
            1 UnsupportedOperationException: function: transform_values
            1 UnsupportedOperationException: function: zip_with
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: distributed_sequence_id
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.
(-1)        0 AssertionError: "Database 'memory:6db2f895-425f-48f5-b7db-8b3e855969c5' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
(-1)        0 AssertionError: "Database 'memory:830e2a7a-6cf7-4498-aeee-63bff2cbe721' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
Passed Tests Diff

(empty)

Failed Tests 
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.cacheTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.clearCache
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.createTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.functionExists
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getFunction
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.isCached
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.recoverPartitions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshByPath
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.uncacheTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.colRegex
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.dropDuplicatesWithinWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.explain
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.observe
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.randomSplit
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartition
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartitionByRange
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sameSemantics
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sampleBy
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.storageLevel
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.toJSON
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.withWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.sampleBy
pyspark/sql/functions.py::pyspark.sql.functions.approx_percentile
pyspark/sql/functions.py::pyspark.sql.functions.input_file_block_length
pyspark/sql/functions.py::pyspark.sql.functions.input_file_block_start
pyspark/sql/functions.py::pyspark.sql.functions.input_file_name
pyspark/sql/functions.py::pyspark.sql.functions.map_entries
pyspark/sql/functions.py::pyspark.sql.functions.map_filter
pyspark/sql/functions.py::pyspark.sql.functions.map_zip_with
pyspark/sql/functions.py::pyspark.sql.functions.percentile_approx
pyspark/sql/functions.py::pyspark.sql.functions.regexp_instr
pyspark/sql/functions.py::pyspark.sql.functions.session_window
pyspark/sql/functions.py::pyspark.sql.functions.transform_keys
pyspark/sql/functions.py::pyspark.sql.functions.transform_values
pyspark/sql/functions.py::pyspark.sql.functions.zip_with
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_archive
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_file
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_pyfile
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_add_zipped_package
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_basic_requests
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_cache_artifact
pyspark/sql/tests/connect/client/test_artifact.py::ArtifactTests::test_copy_from_local_to_fs
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_archive
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_file
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_pyfile
pyspark/sql/tests/connect/client/test_artifact.py::LocalClusterArtifactTests::test_add_zipped_package
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_collect
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_collect_timestamp
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_column_regexp
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_create_global_temp_view
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_deduplicate_within_watermark_in_batch
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_describe
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_hint
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_join_hint
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_json
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_multi_paths
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_observe
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_orc
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_random_split
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_same_semantics
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_schema
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_semantic_hash
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_simple_udt_from_read
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_sql_with_command
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_stat_approx_quantile
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_stat_freq_items
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_stat_sample_by
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_streaming_local_relation
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_tail
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_to
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_with_local_list
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_with_local_ndarray
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_write_operations
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectSessionTests::test_error_stack_trace
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_column_arithmetic_ops
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_decimal
pyspark/sql/tests/connect/test_connect_column.py::SparkConnectColumnTests::test_distributed_sequence_id
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_aggregation_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_collection_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_date_ts_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_generator_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_lambda_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_map_collection_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_math_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_normal_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_string_functions_multi_args
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_time_window_functions
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_udf
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_udtf
pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_window_functions
pyspark/sql/tests/connect/test_parity_arrow.py::ArrowParityTests::test_createDataFrame_duplicate_field_names
pyspark/sql/tests/connect/test_parity_arrow.py::ArrowParityTests::test_pandas_self_destruct
pyspark/sql/tests/connect/test_parity_arrow.py::ArrowParityTests::test_toPandas_duplicate_field_names
pyspark/sql/tests/connect/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_function_exists
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_get_function
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_list_functions
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_refresh_table
pyspark/sql/tests/connect/test_parity_catalog.py::CatalogParityTests::test_table_cache
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_cache_dataframe
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_cache_table
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_duplicate_field_names
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_extended_hint_types
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_freqItems
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_generic_hints
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_input_files
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_to
pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_to_pandas
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_checking_csv_header
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_encoding_json
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_ignore_column_of_all_nulls
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_jdbc
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_jdbc_format
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_linesep_json
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_multiline_json
pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_read_multiple_orc_file
pyspark/sql/tests/connect/test_parity_errors.py::ErrorsParityTests::test_date_time_exception
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_approxQuantile
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_functions_broadcast
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_input_file_name_udf
pyspark/sql/tests/connect/test_parity_pandas_grouped_map.py::GroupedApplyInPandasTests::test_grouped_over_window
pyspark/sql/tests/connect/test_parity_pandas_grouped_map.py::GroupedApplyInPandasTests::test_grouped_over_window_with_key
pyspark/sql/tests/connect/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_python_worker_random_failure
pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_iter_udf_init
pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_check_config
pyspark/sql/tests/connect/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_invalid_length
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_mixed
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_simple
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_shrinking_window
pyspark/sql/tests/connect/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_sliding_window
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterParityTests::test_bucketed_write
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterParityTests::test_save_and_load
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterParityTests::test_save_and_load_builder
pyspark/sql/tests/connect/test_parity_readwriter.py::ReadwriterV2ParityTests::test_table_overwrite
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_cast_to_string_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_cast_to_udt_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_complex_nested_udt_in_df
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_negative_decimal
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_parquet_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_udf_with_udt
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_udt_with_none
pyspark/sql/tests/connect/test_parity_types.py::TypesParityTests::test_yearmonth_interval_type
pyspark/sql/tests/connect/test_parity_udf.py::UDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/test_parity_udtf.py::ArrowUDTFParityTests::test_udtf_arrow_sql_conf
pyspark/sql/tests/connect/test_utils.py::ConnectUtilsTests::test_assert_approx_equal_decimaltype_custom_rtol_pass
pyspark/sql/tests/connect/test_utils.py::ConnectUtilsTests::test_assert_equal_nested_struct_str_duplicate

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Spark 4.1.1 Test Report

Commit Information

Commit Revision Branch
After 0e83d17 refs/pull/2292/merge
Before e42e06d refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 10 14 1 7.04
Before 10 14 1 6.76
doctest-column After 36 6.87
Before 36 6.89
doctest-dataframe After 27 92 3 2 10.99
Before 27 92 3 2 10.91
doctest-functions After 66 419 10 5 28.50
Before 66 419 10 5 27.62
test-connect After 647 1861 292 408 257.52
Before 647 1861 292 410 253.40

Test Details

Error Counts 
          750 Total
(-1)      279 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           60 IllegalArgumentException: missing argument: Python UDF output type
           50 UnsupportedOperationException: unresolved table valued function
           28 DocTestFailure
           22 UnsupportedOperationException: handle add artifacts
           20 AssertionError: 1 != 0 : dict_keys([])
           20 AssertionError: Exception not raised
           14 UnsupportedOperationException: unknown function: kll_sketch_agg_bigint
           12 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 100.00000 % )
           10 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 SparkRuntimeException: Python error: [test::partitions] NotImplementedError: 
           10 UnsupportedOperationException: unsupported subquery type
           10 UnsupportedOperationException: with watermark
            9 AssertionError: 3 != 0 : []
            9 IllegalArgumentException: expected value at line 1 column 1
            9 IllegalArgumentException: invalid argument: found range at 40:45 expected '->', '.', '(', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|'...
            9 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#1", data_type: Int64, nullable: true, metadata: {"SPARK::metadata::json": "{}"} },...
            9 UnsupportedOperationException: collect metrics
            8 AssertionError
            8 UnsupportedOperationException: unknown function: kll_sketch_agg_double
            8 UnsupportedOperationException: unknown function: kll_sketch_agg_float
            7 UnsupportedOperationException: function: input_file_name
            7 UnsupportedOperationException: user defined data type should only exist in a field
            6 AssertionError: 1 != 0
            6 AssertionError: False is not true
            6 IllegalArgumentException: data did not match any variant of untagged enum JsonDataType
            6 PythonException:  ValueError: invalid literal for int() with base 10: 'x'
            6 UnsupportedOperationException: PlanNode::CacheTable
            6 UnsupportedOperationException: direct shuffle partition ID expression
            5 AssertionError: `query_context_type` is required when QueryContext exists. QueryContext: [].
            5 IllegalArgumentException: invalid argument: output mode not supported in group map
            5 PythonException:  TypeError: argument of type 'VariantVal' is not iterable
            4 AnalysisException: Temporary View not found: t2
            4 AssertionError: 3 != 0 : dict_keys([])
            4 AssertionError: unexpectedly None
            4 UnsupportedOperationException: approx quantile
            4 UnsupportedOperationException: freq items
            4 UnsupportedOperationException: transpose
            4 clone session
            3 AnalysisException: Invalid Python user-defined table function return type. Expect a struct type, but got Int32.
            3 AssertionError: 0 not greater than or equal to 1
            3 AssertionError: DayTimeIntervalType(0, 3) != DayTimeIntervalType(1, 3)
            3 AssertionError: Struc[49 chars]valType(0, 3), True), StructField('name', StringType(), True)]) != Struc[49 chars]valType(1, 3), True), StructField('name', StringType(), True)])
            3 IllegalArgumentException: invalid argument: found PARTITION at 281:290 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            3 IllegalArgumentException: invalid argument: found PARTITION at 295:304 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            3 IllegalArgumentException: invalid argument: found PARTITION at 59:68 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            3 IllegalArgumentException: invalid argument: found WITH at 171:175 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=', '!...
            3 IllegalArgumentException: invalid argument: found WITH at 279:283 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=', '!...
            3 PythonException: 
            3 PythonException:  Exception: self._partition_col was 1 but the row value was 2 PySparkRuntimeError: [UDTF_EXEC_ERROR] User defined table function encountered an error in the 'eval' method: self._parti...
            3 PythonException:  PySparkRuntimeError: [UDTF_CONSTRUCTOR_INVALID_NO_ANALYZE_METHOD] Failed to evaluate the user-defined table function '' because its constructor is invalid: the function does not impl...
            3 PythonException:  TypeError: int() argument must be a string, a bytes-like object or a real number, not 'dict'
            3 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: Int64 }, Column { relation: None, name: "#0" })
(+2)        3 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: List(Field { data_type: Float64 }), nullable: true, metadata: {"SPA...
            3 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#2", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t" ...
            3 UnsupportedOperationException: cached remote relation
            3 UnsupportedOperationException: table argument options in subquery expression
            3 UnsupportedOperationException: unknown function: distributed_sequence_id
            3 ValueError: Converting to Python dictionary is not supported when duplicate field names are present
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' expects 2 arguments but received 3,...
            2 AnalysisException: No table format found for: orc
            2 AnalysisException: Spark `variant_get` function: path must be a constant string
            2 AnalysisException: Write failed for partition 0: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            2 AnalysisException: ambiguous attribute: ObjectName([Identifier("id")])
            2 AnalysisException: element_at expects List or Map type as first argument, got Null
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AssertionError: AnalysisException not raised
            2 AssertionError: AnalysisException not raised by <lambda>
            2 AssertionError: PythonException not raised
            2 AssertionError: StructType([StructField('value', BinaryTy[55 chars]se)]) != VariantType()
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 'NAMESPACE', 'OR', 'TEMP', 'TEMPORARY', 'EXTERNAL', 'TABLE', 'GLOBAL', or 'VIEW'
            2 IllegalArgumentException: invalid argument: found PARTITION at 97:106 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!='...
            2 IllegalArgumentException: invalid argument: initial input not supported in group map
            2 IllegalArgumentException: invalid argument: missing data source format
            2 PythonException:  AssertionError: assert None is not None
            2 PythonException:  AttributeError: 'NoneType' object has no attribute 'cpus'
            2 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int64) with name 'decimal_result' to Arrow Array (decimal128(10, 2)).
            2 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int8) with name 'None' to Arrow Array (decimal128(10, 0)).
            2 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (object) with name 'None' to Arrow Array (int32).
            2 SparkRuntimeException: Error during planning: Correlated scalar subquery must be aggregated to return at most one row
            2 SparkRuntimeException: Python error: [TestDataSource::partitions] NotImplementedError: 
            2 SparkRuntimeException: Python error: [my-json::partitions] AttributeError: 'pyarrow.lib.Schema' object has no attribute 'fieldNames'
            2 TypeError: 'NoneType' object is not iterable
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@42nxldcwlikpshede68hki4hd(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@9iphoaj9v2becke5sqyqokbpc(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: mean_udf@56f23o3q96gbgh8wooin3wlez(#3) PARTITION BY [#2] ORDER BY [#3 ASC ...
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: mean_udf@6blgh7qrs537jqp40qew4vlxb(#3) PARTITION BY [#2] ORDER BY [#3 ASC ...
            2 UnsupportedOperationException: CLUSTER BY for write
            2 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t1"...
            2 UnsupportedOperationException: Physical plan does not support logical expression Wildcard { qualifier: None, options: WildcardOptions { ilike: None, exclude: None, except: None, replace: None, rename:...
            2 UnsupportedOperationException: create resource profile command
            2 UnsupportedOperationException: function: st_setsrid
            2 UnsupportedOperationException: function: st_srid
            2 UnsupportedOperationException: function: try_make_interval
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: named window function arguments
            2 UnsupportedOperationException: unknown function: try_to_date
            2 UnsupportedOperationException: wildcard with plan ID
            2 handle artifact statuses
            1 AnalysisException: Could not find config namespace "mapred"
            1 AnalysisException: Could not find config namespace "spark"
            1 AnalysisException: Database not found: testcat
            1 AnalysisException: Failed to parse schema '{"fields":[{"metadata":{},"name":"a","nullable":true,"type":"long"}],"type":"struct"}': error in SQL parser: found { at 7:8 expected identifier, or '>'
            1 AnalysisException: No table format found for: xml
            1 AnalysisException: Spark `try_variant_get` function: path must be a constant string
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
            1 AnalysisException: UNION queries have different number of columns: left has 3 columns whereas right has 2 columns
            1 AnalysisException: Write failed for partition 0: External error: Python error: [TestArrowWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 AnalysisException: Write failed for partition 1: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 AnalysisException: ambiguous attribute: ObjectName([Identifier("b")])
            1 AnalysisException: ambiguous attribute: ObjectName([Identifier("i")])
            1 AnalysisException: array_except received incompatible types: List(non-null Int32), List(Int32)
            1 AnalysisException: attribute ObjectName([Identifier("t")]) is missing from the schema: cannot resolve attribute
            1 AnalysisException: attribute ObjectName([Identifier("x")]) is missing from the schema: cannot resolve attribute
            1 AnalysisException: expected AM/PM marker at byte offset 8
            1 AnalysisException: expected datetime literal '-' at byte offset 2
            1 AnalysisException: foobar
            1 AnalysisException: invalid parsed date: input is out of range
            1 AnalysisException: join condition should not be empty
            1 AnalysisException: not supported: qualified function name
            1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#0" }), Literal(Int32(123), None)]
(+1)        1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(1423083002632046788), None)]
(+1)        1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(7666276075706043738), None)]
            1 AnalysisException: too big
            1 AnalysisException: unsupported extension node for streaming: PythonWriteNode { input: Projection(Projection { expr: [Column(Column { relation: None, name: "_marker" }), Column(Column { relation: None,...
            1 AnalysisException: zero values expected: [Literal(Int32(123), None)]
            1 AssertionError: "'path' is not specified." does not match "missing path in listing table options"
            1 AssertionError: "ARROW_TYPE_MISMATCH.*SQL_MAP_ARROW_ITER_UDF" does not match "Struct field count mismatch: expected 1 fields but found 2 fields"
            1 AssertionError: "DATA_SOURCE_EXTRANEOUS_FILTERS" does not match "Python error: [test::partitions] AssertionError: assert False
            1 AssertionError: "DATA_SOURCE_PUSHDOWN_DISABLED" does not match "Python error: [<reader>::read] AssertionError: assert False
(+1)        1 AssertionError: "Database 'memory:97957610-b6d7-44af-9037-729203e6bfba' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
(+1)        1 AssertionError: "Database 'memory:9f53bb79-34c8-463e-8d00-2b9d7d2199a1' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: "Invalid return type" does not match " AttributeError: 'Series' object has no attribute 'columns'
            1 AssertionError: "Python worker process terminated due to idle timeout \(timeout: 1 seconds\)" does not match " PySparkRuntimeError: [UDTF_INVALID_OUTPUT_ROW_TYPE] The type of an individual output row ...
            1 AssertionError: "UNRESOLVED_COLUMN.WITH_SUGGESTION" does not match "attribute ObjectName([Identifier("b")]) is missing from the schema: cannot resolve attribute"
            1 AssertionError: "is null" does not match " ArrowException: Invalid argument error: Column 'a' is declared as non-nullable but contains null values
            1 AssertionError: "requirement failed: Cogroup keys must have same size: 2 != 1" does not match "invalid argument: child plan grouping expressions must have the same length"
            1 AssertionError: '+------------------+\n|from_xml(a, a INT)|\n+--------[75 chars]-+\n' != '+-----------+\n|from_xml(a)|\n+-----------+\n|       [33 chars]-+\n'
            1 AssertionError: '+---[1064 chars]---------------------------------+\nonly showing top 20 rows\n' != '+---[1064 chars]---------------------------------+\nonly showing top 20 rows'
            1 AssertionError: '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row' != '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row\n'
            1 AssertionError: 'INVALID_CLONE_SESSION_REQUEST.TARGET_SESSION_ID_FORMAT' not found in '<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNIMPLEMENTED\n\tdetails = "clone session"...
            1 AssertionError: 'ST_INVALID_SRID_VALUE' != None : Expected error class was 'ST_INVALID_SRID_VALUE', got 'None'.
            1 AssertionError: 'UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.UNSUPPORTED_IN_EXISTS_SUBQUERY' != None : Expected error class was 'UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.UNSUPPORTED_IN_EXISTS_SUBQUERY', ...
            1 AssertionError: 'a NULL, b BOOLEAN, c BINARY' != 'a VOID,b BOOLEAN,c BINARY'
            1 AssertionError: 'bytearray' != 'bytes'
            1 AssertionError: 0 not greater than 0
            1 AssertionError: 0.6363787615254752 != 0.9531453492357947 : Column<'rand(1)'>
            1 AssertionError: 4 != 10
            1 AssertionError: 6 != 0 : []
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [Row([22 chars]e(2018, 12, 31, 16, 0), aware=datetime.datetim[16 chars] 0))] != [Row([22 chars]e(2019, 1, 1, 0, 0), aware=datetime.datetime(2[13 chars] 0))]
            1 AssertionError: Lists differ: [Row([259 chars]681098, ln(id)=1.0986122886681098, struct(id, [975 chars]0'))] != [Row([259 chars]681096, ln(id)=1.0986122886681096, struct(id, [975 chars]0'))]
            1 AssertionError: Lists differ: [Row([47 chars] 3, 6: 3}), Row(map={4: 3, 6: 3}), Row(map={4: 5, 6: 3})] != [Row([47 chars] 3, 6: 3, 5: 5}), Row(map={4: 3, 6: 3}), Row(map={4: 3, 6: 3})]
            1 AssertionError: Lists differ: [Row([719 chars]on='array'), Row(function='array_agg'), Row(fu[12726 chars]'~')] != [Row([719 chars]on='approx_top_k'), Row(function='approx_top_k[13765 chars]'~')]
            1 AssertionError: Lists differ: [Row(id=90, name='90'), Row(id=91, name='91'), Ro[176 chars]99')] != [Row(id=15, name='15'), Row(id=16, name='16'), Ro[176 chars]24')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Andy', ag[374 chars]one)] != [Row(age=19, name='Justin'), Row(age=19, name=[374 chars]el')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Justin', [34 chars]one)] != [Row(_corrupt_record=' "age":19}\n', name=None[104 chars]el')]
            1 AssertionError: Row(name='Bob', age=10, height=66.0) != Row(name='Alice', age=10, height=10.0)
            1 AssertionError: Row(point='[1.0, 2.0]', pypoint='[3.0, 4.0]') != Row(point='(1.0, 2.0)', pypoint='[3.0, 4.0]')
            1 AssertionError: SparkConnectGrpcException not raised
            1 AssertionError: StorageLevel(False, True, True, False, 1) != StorageLevel(False, False, False, False, 1)
            1 AssertionError: Struc[15 chars]eld('a', NullType(), True), StructField('b', L[51 chars]ue)]) != Struc[15 chars]eld('b', LongType(), True), StructField('c', S[15 chars]ue)])
            1 AssertionError: Struc[23 chars]st', StructType([StructField('value', BinaryTy[194 chars]ue)]) != Struc[23 chars]st', VariantType(), True), StructField('last',[18 chars]ue)])
            1 AssertionError: Struc[30 chars]estampType(), True), StructField('val', IntegerType(), True)]) != Struc[30 chars]estampType(), True), StructField('val', IntegerType(), False)])
            1 AssertionError: Struc[32 chars]e(), False), StructField('b', DoubleType(), Fa[158 chars]ue)]) != Struc[32 chars]e(), True), StructField('b', DoubleType(), Tru[154 chars]ue)])
            1 AssertionError: Struc[40 chars]ue), StructField('val', ArrayType(DoubleType(), False), True)]) != Struc[40 chars]ue), StructField('val', PythonOnlyUDT(), True)])
            1 AssertionError: Struc[99 chars]uct(n, l), x_4)), x_3)))', ArrayType(StructTyp[93 chars]ue)]) != Struc[99 chars]uct(namedlambdavariable() AS n, namedlambdavar[181 chars]se)])
            1 AssertionError: True is not false : Default URL is not secure
            1 AssertionError: VariantType() != StructType([StructField('value', BinaryTy[55 chars]se)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AttributeError: 'NoneType' object has no attribute 'extract_graph'
            1 AttributeError: 'NoneType' object has no attribute 'toText'
            1 FileNotFoundError: [Errno 2] No such file or directory: '/home/runner/work/sail/sail/.venvs/test-spark.spark-4.1.1/lib/python3.11/site-packages/pyspark/data/artifact-tests/junitLargeJar.jar'
(+1)        1 FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpxet1s713'
            1 IllegalArgumentException: invalid argument: empty data type
            1 IllegalArgumentException: invalid argument: expecting column to drop
            1 IllegalArgumentException: invalid argument: field not found in input schema: col1
            1 IllegalArgumentException: invalid argument: found PARTITION at 100:109 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 103:112 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 108:117 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 111:120 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 117:126 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 118:127 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=...
            1 IllegalArgumentException: invalid argument: found PARTITION at 53:62 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            1 IllegalArgumentException: invalid argument: found PARTITION at 69:78 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            1 IllegalArgumentException: invalid argument: found PARTITION at 90:99 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=',...
            1 IllegalArgumentException: invalid argument: found WITH at 115:119 expected '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|', '!=', '!...
            1 IllegalArgumentException: invalid argument: found abc at 0:3 expected something else, ';', statement, or end of input
            1 IllegalArgumentException: invalid argument: found collate at 13:20 expected string, '.', '[', '::', 'ESCAPE', 'IS', 'NOT', 'IN', '*', '/', '%', 'DIV', '+', '-', '||', '>>>', '>>', '<<', '&', '^', '|',...
            1 IllegalArgumentException: invalid argument: grouping sets with grouping expressions
            1 IllegalArgumentException: invalid argument: invalid user-defined window function type
            1 IllegalArgumentException: invalid argument: table does not exist: ObjectName([Identifier("test_table")])
            1 IndexError: list index out of range
(+1)        1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (2e1c9200-fcae-4654-a131-080606fd88a6 != 907689ee-f590-4ea2-9d51-9...
(+1)        1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (b46e5fbd-a665-4b6e-9c8e-3125814dd447 != 1f37af70-259f-4308-ab44-f...
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] Invalid return type with grouped aggregate Pandas UDFs: StructType([StructField('value', BinaryType(), False), StructField('metadata', BinaryType(), False...
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] toJSON() is not implemented.
            1 PythonException:  AssertionError: Undefined error message parameter for error class: UDTF_ARROW_TYPE_CONVERSION_ERROR. Parameters: {'data': "[('x',)]", 'schema': 'struct<a:int>', 'arrow_schema': 'stru...
            1 PythonException:  AssertionError: Undefined error message parameter for error class: UDTF_ARROW_TYPE_CONVERSION_ERROR. Parameters: {'data': '[(ExamplePoint(10.0,20.0),)]', 'schema': 'struct<point:arra...
            1 PythonException:  AssertionError: Undefined error message parameter for error class: UDTF_ARROW_TYPE_CONVERSION_ERROR. Parameters: {'data': '[(ExamplePoint(10.0,20.0),)]', 'schema': 'struct<udt:array<...
            1 PythonException:  AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 PythonException:  AttributeError: 'list' object has no attribute 'x'
            1 PythonException:  AttributeError: 'list' object has no attribute 'y'
            1 PythonException:  KeyError: 'v'
            1 PythonException:  PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'point' with type 'object' to the specified return type of the column: 'list<item: dou...
            1 PythonException:  PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'udt' with type 'object' to the specified return type of the column: 'list<item: doubl...
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int64) with name 'None' to Arrow Array (decimal128(10, 2)).
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int8) with name 'int8' to Arrow Array (decimal128(10, 0)).
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (int8) with name 'value' to Arrow Array (decimal128(10, 0)).
            1 PythonException:  PySparkValueError: Exception thrown when converting pandas.Series (object) with name 'value' to Arrow Array (int32).
            1 PythonException:  TypeError: 'str' object cannot be interpreted as an integer
            1 PythonException:  TypeError: cannot unpack non-iterable NoneType object
            1 PythonException:  ValueError: invalid literal for int() with base 10: 'z'
            1 SparkRuntimeException: Exception: path is not specified
            1 SparkRuntimeException: Execution error: Schema field count mismatch: expected 1 fields, got 2
            1 SparkRuntimeException: Internal error: Cannot run range queries on datatype: Time64(µs).
            1 SparkRuntimeException: Invalid argument error: Column '#3' is declared as non-nullable but contains null values
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected List(Struct("value": non-null Binary, "metadata": non-null Binary, metadata: {"variant": "true"}), metadat...
            1 SparkRuntimeException: Json error: Not valid JSON: EOF while parsing a list at line 1 column 1
            1 SparkRuntimeException: Json error: Not valid JSON: expected value at line 1 column 2
            1 SparkRuntimeException: No field named t1."#0". Did you mean '#2'?.
            1 SparkRuntimeException: Parser error: Error while parsing value '0
            1 SparkRuntimeException: Parser error: Invalid timezone "+7:30": failed to parse timezone
            1 SparkRuntimeException: Python error: [TestDataSource::writer] PySparkNotImplementedError: [NOT_IMPLEMENTED] writer is not implemented.
            1 SparkRuntimeException: Python error: [my-json::writer] AttributeError: 'pyarrow.lib.Schema' object has no attribute 'fieldNames'
            1 SparkRuntimeException: Python error: [test::partitions] AssertionError: assert False
            1 SparkRuntimeException: Python error: [testdatasourcepyarrow::partitions] PySparkNotImplementedError: [NOT_IMPLEMENTED] reader is not implemented.
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: List { data_type: Int32, nullable: true }. Use PyArrow Schema for complex types.
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Struct { fields: Fields([Field { name: "a", data_type: Int32, nullable: true, metadata: [] }, Field { name: "b", data_type: Int32, ...
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Struct { fields: Fields([Field { name: "y", data_type: Int32, nullable: true, metadata: [] }]) }. Use PyArrow Schema for complex ty...
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Variant. Use PyArrow Schema for complex types.
            1 SparkRuntimeException: This feature is not implemented: Data type Decimal128(38, 18) not supported in row-based write path. Use DataSourceArrowWriter for full type support.
            1 SparkRuntimeException: This feature is not implemented: Unsupported CAST from Map("entries": non-null Struct("key": non-null Int32, "value": non-null Int32), unsorted) to Null
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@42nxldcwlikpshede68hki4hd(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@42nxldcwlikpshede68hki4hd(plus_one@37pn5wx7sqmlbvfr2ebnbd6a0(#9)) PART...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@9iphoaj9v2becke5sqyqokbpc(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@9iphoaj9v2becke5sqyqokbpc(plus_one@8f9fwaevnfdj031wzemmraerh(#9)) PART...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@1h5j8ehtp238nduw020pdafyp(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@1z16p7g8orl8a73u97f1704fz(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@5lgtucrfqmvjc9hq9885z0x6d(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@bqv855sdysxo4klnvnyi7f0v3(#9, #10) PARTITION BY [#8] ORDER B...
            1 UnsupportedOperationException: LATERAL table function with criteria
            1 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#1", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t1"...
            1 UnsupportedOperationException: Physical plan does not support logical expression ScalarSubquery(<subquery>)
            1 UnsupportedOperationException: Physical plan does not support undecorrelated Subquery
            1 UnsupportedOperationException: PlanNode::ClearCache
            1 UnsupportedOperationException: PlanNode::IsCached
            1 UnsupportedOperationException: PlanNode::RecoverPartitions
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Struct("name": Utf8, metadata: {"SPARK::metadata::json": "{}"}, "value": Int64, metadata: {"SPARK::metadata::json": "{}"}) is...
            1 UnsupportedOperationException: Unsupported CAST from Struct("c": Int64, metadata: {"SPARK::metadata::json": "{}"}, "d": Float64, metadata: {"SPARK::metadata::json": "{}"}) to Struct("a": Int64, metada...
            1 UnsupportedOperationException: Unsupported CAST from Struct("value": non-null Binary, "metadata": non-null Binary) to Int32
            1 UnsupportedOperationException: apply in pandas with state
            1 UnsupportedOperationException: as of join
            1 UnsupportedOperationException: bucketing for writing listing table format
            1 UnsupportedOperationException: cast Time64(Nanosecond) to Spark data type
            1 UnsupportedOperationException: deduplicate within watermark
            1 UnsupportedOperationException: function: collate
            1 UnsupportedOperationException: function: collation
            1 UnsupportedOperationException: function: input_file_block_length
            1 UnsupportedOperationException: function: input_file_block_start
            1 UnsupportedOperationException: function: java_method
            1 UnsupportedOperationException: function: map_filter
            1 UnsupportedOperationException: function: map_zip_with
            1 UnsupportedOperationException: function: reflect
            1 UnsupportedOperationException: function: schema_of_xml
            1 UnsupportedOperationException: function: session_window
            1 UnsupportedOperationException: function: transform_keys
            1 UnsupportedOperationException: function: transform_values
            1 UnsupportedOperationException: function: try_reflect
            1 UnsupportedOperationException: function: zip_with
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: RANGE
            1 UnsupportedOperationException: unknown function: unwrap_udt
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.
            1 handle add artifacts
(-1)        0 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(4710787550719877318), None)]
(-1)        0 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(5321372823556008061), None)]
(-1)        0 AssertionError: "Database 'memory:0de182fc-1cd2-460d-9aa9-8c988a4f1927' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
(-1)        0 AssertionError: "Database 'memory:43da4c08-c9ee-4439-a925-1e7da3ae6ddd' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
(-1)        0 FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpq3qvrczo'
(-1)        0 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (0ba94538-0dfb-4200-a176-920211a5806b != 45c71e14-8747-4feb-9e40-4...
(-1)        0 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (de238953-287a-453e-8d8d-85d46a9dab51 != 5bf5f908-0364-4201-805c-b...
(-2)        0 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: List(Field { data_type: Float64 }), nullable: true, metadata: {"SAI...
Passed Tests Diff

(empty)

Failed Tests 
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.cacheTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.clearCache
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.createTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.functionExists
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getFunction
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.isCached
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.recoverPartitions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshByPath
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.refreshTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.uncacheTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame._joinAsOf
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.approxQuantile
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.asTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.cache
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.colRegex
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.dropDuplicatesWithinWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.explain
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.groupingSets
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.lateralJoin
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.localCheckpoint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.observe
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.pandas_api
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.persist
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.randomSplit
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartitionById
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.repartitionByRange
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sameSemantics
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.sampleBy
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.storageLevel
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.toJSON
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.transpose
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.withWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.approxQuantile
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.sampleBy
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.approx_count_distinct
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.approx_percentile
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.collation
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.corr
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.cosh
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.degrees
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.exp
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_json
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.get_json_object
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.hash
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.histogram_numeric
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.inline_outer
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_block_length
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_block_start
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_name
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.java_method
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.log2
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.map_filter
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.map_zip_with
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.percentile_approx
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.reflect
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.schema_of_csv
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.schema_of_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.session_window
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.shuffle
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.sin
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_setsrid
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_srid
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.tan
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.transform_keys
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.transform_values
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_add
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_avg
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_make_interval
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_make_timestamp
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_parse_url
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_reflect
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_subtract
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_to_date
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.try_variant_get
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.udf
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.unwrap_udt
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.uuid
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.variant_get
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.window
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.xxhash64
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.zip_with
pyspark/sql/tests/connect/arrow/test_parity_arrow.py::ArrowParityTests::test_createDataFrame_pandas_duplicate_field_names
pyspark/sql/tests/connect/arrow/test_parity_arrow.py::ArrowParityTests::test_pandas_self_destruct
pyspark/sql/tests/connect/arrow/test_parity_arrow.py::ArrowParityTests::test_toPandas_duplicate_field_names
pyspark/sql/tests/connect/arrow/test_parity_arrow_cogrouped_map.py::CogroupedMapInArrowParityTests::test_cogroup_apply_in_arrow_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_grouped_map.py::ApplyInArrowParityTests::test_apply_in_arrow_iter_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_grouped_map.py::ApplyInArrowParityTests::test_apply_in_arrow_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_map_in_arrow_with_barrier_mode
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_map_in_arrow_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_nested_extraneous_field
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_nullability_widen
pyspark/sql/tests/connect/arrow/test_parity_arrow_map.py::ArrowMapParityTests::test_top_level_wrong_order
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_day_time_interval_in_struct
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_day_time_interval_type_casting
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityLegacyTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_day_time_interval_in_struct
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_day_time_interval_type_casting
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityNonLegacyTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_day_time_interval_in_struct
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_day_time_interval_type_casting
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::ArrowPythonUDFParityTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_chained_udfs_with_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_multiple_udfs_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_binary_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_binary_type_in_nested_structures
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_cache
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_kill_on_timeout
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_char_varchar_return_type
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_collated_string_types
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_complex_variant_input
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_input_file_name
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_pyspark_logger
pyspark/sql/tests/connect/arrow/test_parity_arrow_python_udf.py::UDFParityTests::test_udf_with_udt
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf.py::ArrowPythonUDFParityTests::test_arrow_udf_basic_with_return_type_string
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf.py::ArrowPythonUDFParityTests::test_arrow_udf_wrong_arg
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_grouped_agg.py::GroupedAggArrowPythonUDFParityTests::test_grouped_agg_arrow_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_grouped_agg.py::GroupedAggArrowPythonUDFParityTests::test_input_output_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_scalar.py::ScalarArrowPythonUDFParityTests::test_arrow_udf_output_variant
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_scalar.py::ScalarArrowPythonUDFParityTests::test_scalar_arrow_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_scalar.py::ScalarArrowPythonUDFParityTests::test_scalar_iter_arrow_udf_with_logging
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pyspark/sql/tests/connect/pandas/test_parity_pandas_udf.py::PandasUDFParityTests::test_udf_wrong_arg
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pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_iter_udf_init
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_pandas_udf_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_udafs_with_complex_variant_input
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_udafs_with_complex_variant_output
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_udafs_with_variant_output
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_check_config
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_vectorized_udf_invalid_length
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_arrow_cast_numeric_to_decimal
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_arrow_cast_str_to_numeric
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_mixed
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_bounded_simple
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_invalid_args
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_kwargs
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_named_arguments
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_named_arguments_negative
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_shrinking_window
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_window.py::PandasUDFWindowParityTests::test_sliding_window
pyspark/sql/tests/connect/pandas/test_pari

(truncated)

@github-actions

github-actions Bot commented Jul 26, 2026

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Ibis Test Report

Commit Information

Commit Revision Branch
After 0e83d17 refs/pull/2292/merge
Before e42e06d refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
test-ibis After 32 1537 166 4535 245.58
Before 32 1537 166 4535 240.66

Test Details

Error Counts 
           33 Total
           24 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
            5 IllegalArgumentException: invalid argument: found TRUNCATE at 0:8 expected something else, ';', statement, or end of input
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' requires Float64, but received List...
            2 AssertionError
            2 AssertionError: Series are different
            2 IllegalArgumentException: invalid argument: found PARTITIONS at 5:15 expected 'DATABASES', 'SCHEMAS', 'NAMESPACES', 'CATALOGS', 'TABLES', 'TABLE', 'CREATE', 'COLUMNS', 'VIEWS', 'ALL', 'USER', 'SYSTEM'...
            2 assert ibis.Schema {... float64\n} == ibis.Schema {... float64\n} Full diff: ibis.Schema { carat float64 cut string color string clarity string depth float64 table float64 - price int32 ? ^^ + price i...
            1 AnalysisException: Catalog not found: local
(+1)        1 AnalysisException: Database not found: ibis_database_2kavc77d5neffhud6xu5kov5ia
            1 AssertionError: DataFrame.iloc[:, 0] (column name="id") are different
            1 AssertionError: DataFrame.iloc[:, 0] (column name="playerID") are different
            1 AssertionError: Series NA mask are different
(+1)        1 AssertionError: assert 'ibis_cached_am6x4a7invesveyzeis443ib5u' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
            1 AssertionError: assert nan == 22
            1 Failed: DID NOT RAISE <class 'pyspark.errors.exceptions.base.AnalysisException'>
            1 SparkRuntimeException: Cast error: Casting from Date32 to Float64 not supported
            1 SparkRuntimeException: Error during planning: expr type Struct("StructColumn({'x': xs, 'y': ys})": non-null Struct("x": non-null Int32, "y": non-null Int32)) can't cast to Struct("x": Int64, metadata:...
            1 TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array
            1 UnsupportedOperationException: CommandNode::AnalyzeTable
            1 UnsupportedOperationException: Physical plan does not support logical expression AggregateFunction(AggregateFunction { func: AggregateUDF { inner: ArrayAgg { signature: Signature { type_signature: Any...
            1 UnsupportedOperationException: Physical plan does not support logical expression InSubquery(InSubquery { expr: Column(Column { relation: Some(Bare { table: "t0" }), name: "#0" }), subquery: <subquery>...
            1 UnsupportedOperationException: Physical plan does not support logical expression InSubquery(InSubquery { expr: Column(Column { relation: Some(Bare { table: "t0" }), name: "#1" }), subquery: <subquery>...
            1 UnsupportedOperationException: unsupported ALTER TABLE operation
            1 assert frozenset({None}) == frozenset({None, 47}) Extra items in the right set: 47 Full diff: frozenset({ None, - 47, })
            1 assert {0.0, 1.0, 2.0, 3.0} == {1, 2, 3} Extra items in the left set: 0.0 Full diff: { + 0.0, - 1, + 1.0, ? ++ - 2, + 2.0, ? ++ - 3, + 3.0, ? ++ }
(-1)        0 AnalysisException: Database not found: ibis_database_5vsj6o3qsnbdbmoew7cikybnfu
(-1)        0 AssertionError: assert 'ibis_cached_da5oveuo2fad7iw5vxcqeo2lti' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
Passed Tests Diff

(empty)

Failed Tests 
ibis/backends/pyspark/tests/test_basic.py::test_group_by
ibis/backends/pyspark/tests/test_client.py::test_catalog_db_args
ibis/backends/pyspark/tests/test_client.py::test_create_table_with_partition_and_catalog
ibis/backends/pyspark/tests/test_client.py::test_create_table_with_partition_no_catalog
ibis/backends/pyspark/tests/test_ddl.py::test_compute_stats
ibis/backends/pyspark/tests/test_ddl.py::test_drop_non_empty_database
ibis/backends/pyspark/tests/test_ddl.py::test_insert_table
ibis/backends/pyspark/tests/test_ddl.py::test_truncate_table
ibis/backends/tests/test_aggregation.py::test_approx_quantile[pyspark-True-False]
ibis/backends/tests/test_aggregation.py::test_approx_quantile[pyspark-True-True]
ibis/backends/tests/test_aggregation.py::test_date_quantile[pyspark]
ibis/backends/tests/test_aggregation.py::test_group_concat_over_window[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_dataframe[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_expr[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_list[pyspark]
ibis/backends/tests/test_client.py::test_rename_table[pyspark]
ibis/backends/tests/test_export.py::test_table_to_csv[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_contextmanager[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_release[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_repeated_cache[pyspark]
ibis/backends/tests/test_generic.py::test_isin_uncorrelated[pyspark]
ibis/backends/tests/test_generic.py::test_isin_uncorrelated_simple[pyspark]
ibis/backends/tests/test_io.py::test_read_csv[pyspark-default]
ibis/backends/tests/test_io.py::test_read_csv[pyspark-file_name]
ibis/backends/tests/test_join.py::test_join_with_pandas[pyspark]
ibis/backends/tests/test_json.py::test_json_getitem_array[pyspark]
ibis/backends/tests/test_struct.py::test_field_overwrite_always_prefers_unpacked[pyspark]
ibis/backends/tests/test_struct.py::test_isin_struct[pyspark]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-a]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-b]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-c]
ibis/backends/tests/test_temporal.py::test_delta[pyspark-time]

@codecov

codecov Bot commented Jul 26, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.

@@            Coverage Diff             @@
##             main    #2292      +/-   ##
==========================================
- Coverage   79.40%   77.82%   -1.58%     
==========================================
  Files         916      916              
  Lines      174656   174682      +26     
==========================================
- Hits       138687   135949    -2738     
- Misses      35969    38733    +2764
Flag Coverage Δ *Carryforward flag
catalog-integration-tests 28.19% <85.71%> (+0.14%) ⬆️
ibis-tests 16.95% <ø> (+<0.01%) ⬆️ Carriedforward from 0390f13
python-unit-tests 62.18% <0.00%> (-0.01%) ⬇️
rust-slow-tests 45.69% <93.61%> (-1.06%) ⬇️
rust-unit-tests 41.95% <93.61%> (-1.06%) ⬇️
spark-tests 26.61% <0.00%> (-5.14%) ⬇️ Carriedforward from 0390f13

*This pull request uses carry forward flags. Click here to find out more.

Files with missing lines Coverage Δ
crates/sail-catalog-iceberg/src/provider.rs 91.54% <100.00%> (+0.09%) ⬆️

... and 106 files with indirect coverage changes

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