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fix: data source temporary views#2059

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shehabgamin wants to merge 30 commits into
mainfrom
feat-create-view-using
Open

fix: data source temporary views#2059
shehabgamin wants to merge 30 commits into
mainfrom
feat-create-view-using

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@shehabgamin

@shehabgamin shehabgamin commented Jun 12, 2026

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  • Add CREATE TEMPORARY VIEW ... USING support, including global temp views.
  • Handle typed schemas, comments, and Spark-compatible path option behavior.
  • Preserve backing format/options and route inserts into backed temp views.

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github-actions Bot commented Jun 12, 2026

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Spark 3.5.7 Test Report

Commit Information

Commit Revision Branch
After e042373 refs/pull/2059/merge
Before 7a34be7 refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 11 13 1 6 5.60
Before 11 13 1 6 5.65
doctest-column After 33 2 5.61
Before 33 2 5.61
doctest-dataframe After 18 82 7 3 8.59
Before 18 82 7 3 8.63
doctest-functions After 25 376 8 7 16.64
Before 25 376 8 7 16.71
test-connect After 127 875 169 700 134.03
Before 128 874 169 699 133.01

Test Details

Error Counts
(-1)      181 Total
(-1)       93 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           15 UnsupportedOperationException: lambda function
           12 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           11 DocTestFailure
           10 handle add artifacts
            6 UnsupportedOperationException: PlanNode::CacheTable
            5 AssertionError: False is not true
            5 UnsupportedOperationException: function: input_file_name
            4 AssertionError: AnalysisException not raised
            3 PySparkNotImplementedError: [NOT_IMPLEMENTED] rdd() is not implemented.
            3 UnsupportedOperationException: handle analyze input files
            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 AnalysisException: not supported: list functions
            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 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: function: window_time
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: pivot
            2 UnsupportedOperationException: user defined data type should only exist in a field
            2 UnsupportedOperationException: with watermark
            2 handle artifact statuses
            1 AnalysisException: Cannot cast string 'abc' to value of Float64 type
            1 AnalysisException: Cannot cast value 'abc' to value of Boolean type
            1 AnalysisException: Failed to parse placeholder id: cannot parse integer from empty string
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
(+1)        1 AnalysisException: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
(+1)        1 AssertionError: "Database 'memory:96e0f80b-a7a3-4626-a22a-c6576499a072' 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:addfbe5b-fb6f-4336-b063-0033b6670257' 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: '+---[17 chars]-----+\n|                        x|\n+--------[132 chars]-+\n' != '+---[17 chars]----------+\n|update_fields(x, WithField(e))|\[167 chars]-+\n'
            1 AssertionError: 1 != 0
            1 AssertionError: AnalysisException not raised by <lambda>
            1 AssertionError: ArrayIndexOutOfBoundsException not raised
            1 AssertionError: Exception not raised
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [(1, 2), (3, 4), (None, 5), (0, 0)] != [(1, 2), (3, 4), (None, 5), (None, None)]
            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 PySparkNotImplementedError: [NOT_IMPLEMENTED] foreach() is not implemented.
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] foreachPartition() is not implemented.
            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 List(non-null Struct("key": non-null Int32, "value": Utf8)) to List(non-null Struct("key": non-null Int32, "value": non-nu...
            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: SHOW FUNCTIONS
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: Unsupported CAST from List(non-null Struct("key": non-null Utf8, "value": Utf8)) to List(non-null Struct("key": non-null Utf8, "value": non-null Utf8))
            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: reflect
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: distributed_sequence_id
            1 UnsupportedOperationException: unsupported sink mode for listing table: OverwriteIf { condition: ExprWithSource { expr: Literal(Boolean(true), None), source: None } }
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.
(-1)        0 AnalysisException: UNION queries have different number of columns: left has 3 columns whereas right has 2 columns
(-1)        0 AssertionError: "Database 'memory:6b0d8cdd-bfba-4a8d-b479-d3309d709696' 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:e110d219-ce01-4113-ab4c-70a0a30d7de2' 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 Stream removed (Received RST_STREAM with error code 8 (RST_STREAM))
Passed Tests Diff
--- before.txt	2026-06-14 11:31:22.712096054 +0000
+++ after.txt	2026-06-14 11:31:23.006098132 +0000
@@ -900,0 +901 @@
+pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_multiline_csv
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.listFunctions
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.coalesce
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.foreach
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.foreachPartition
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.inputFiles
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.aggregate
pyspark/sql/functions.py::pyspark.sql.functions.approx_percentile
pyspark/sql/functions.py::pyspark.sql.functions.array_position
pyspark/sql/functions.py::pyspark.sql.functions.array_sort
pyspark/sql/functions.py::pyspark.sql.functions.exists
pyspark/sql/functions.py::pyspark.sql.functions.filter
pyspark/sql/functions.py::pyspark.sql.functions.first
pyspark/sql/functions.py::pyspark.sql.functions.forall
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.reduce
pyspark/sql/functions.py::pyspark.sql.functions.reflect
pyspark/sql/functions.py::pyspark.sql.functions.regexp_extract
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
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.window_time
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_explain_string
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_grouped_data
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_hint
pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_input_files
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_numeric_aggregation
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_sql_with_pos_args
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_column_field_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_nested_lambda_function
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_array_index_out_of_bounds_exception
pyspark/sql/tests/connect/test_parity_errors.py::ErrorsParityTests::test_number_format_exception
pyspark/sql/tests/connect/test_parity_errors.py::ErrorsParityTests::test_spark_runtime_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_inline
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_input_file_name_udf
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_nested_higher_order_function
pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_window_time
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_create_without_provider
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_parity_udtf.py::ArrowUDTFParityTests::test_udtf_with_table_argument_multiple
pyspark/sql/tests/connect/test_parity_udtf.py::UDTFParityTests::test_udtf_with_table_argument_multiple
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 e042373 refs/pull/2059/merge
Before 7a34be7 refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 11 13 1 5.75
Before 11 13 1 5.80
doctest-column After 36 6.76
Before 36 6.80
doctest-dataframe After 28 91 3 2 10.72
Before 28 91 3 2 10.75
doctest-functions After 89 396 10 5 27.46
Before 89 396 10 5 28.07
test-connect After 667 1841 292 409 255.31
Before 668 1840 292 408 249.58

Test Details

Error Counts
(-1)      795 Total
(-2)      286 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           60 IllegalArgumentException: missing argument: Python UDF output type
           50 UnsupportedOperationException: unresolved table valued function
           38 DocTestFailure
           22 UnsupportedOperationException: handle add artifacts
           20 AssertionError: 1 != 0 : dict_keys([])
           20 AssertionError: Exception not raised
           15 UnsupportedOperationException: lambda function
           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 AssertionError: False is not true
            7 UnsupportedOperationException: function: input_file_name
            7 UnsupportedOperationException: user defined data type should only exist in a field
            6 AssertionError: 1 != 0
            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: AnalysisException not raised
            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: Failed to parse placeholder id: cannot parse integer from empty string
            3 AnalysisException: Invalid Python user-defined table function return type. Expect a struct type, but got Int32.
(+2)        3 AnalysisException: Write failed for partition 0: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            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" })
            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: handle analyze input files
            3 UnsupportedOperationException: pivot
            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: ambiguous attribute: ObjectName([Identifier("id")])
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AnalysisException: not supported: list functions
            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 OuterReferenceColumn(Field { name: "#0", data_type: List(Field { data_type: Float64 }), nullable: true, metadata: {"SPA...
            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: cast Time64(Nanosecond) to Spark data type
            2 UnsupportedOperationException: create resource profile command
            2 UnsupportedOperationException: function: from_xml
            2 UnsupportedOperationException: function: st_setsrid
            2 UnsupportedOperationException: function: st_srid
            2 UnsupportedOperationException: function: try_make_interval
            2 UnsupportedOperationException: function: window_time
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: named window function arguments
            2 UnsupportedOperationException: unknown function: try_to_date
            2 UnsupportedOperationException: unknown function: try_to_time
            2 UnsupportedOperationException: wildcard with plan ID
            2 handle artifact statuses
            1 AnalysisException: Cannot cast string 'abc' to value of Float64 type
            1 AnalysisException: Cannot cast value 'abc' to value of Boolean type
            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 date '02-29' with format '%m-%d': input is not enough for unique date and time
            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)        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: 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: element_at expects List or Map type as first argument, got Null
            1 AnalysisException: foobar
            1 AnalysisException: join condition should not be empty
            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(2250650667729465408), None)]
(+1)        1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(6225757647584759203), None)]
            1 AnalysisException: to_time format argument 2 must be a scalar, not an array
            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:2d6eb3b4-10c3-4670-ad36-7c58b807be18' 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:56a6b7e9-fc75-46b1-8866-2a2144e422a8' 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: '+---[1064 chars]---------------------------------+\nonly showing top 20 rows\n' != '+---[1064 chars]---------------------------------+\nonly showing top 20 rows'
            1 AssertionError: '+---[17 chars]-----+\n|                        x|\n+--------[132 chars]-+\n' != '+---[17 chars]----------+\n|update_fields(x, WithField(e))|\[167 chars]-+\n'
            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: 6 != 0 : []
            1 AssertionError: ArrayIndexOutOfBoundsException not raised
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [(1, 2), (3, 4), (None, 5), (0, 0)] != [(1, 2), (3, 4), (None, 5), (None, None)]
            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(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=27, 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: 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 DateTimeException: Error parsing timestamp from '082017' using format '%m%Y': input is not enough for unique date and time
            1 DateTimeException: Error parsing timestamp from '2014-31-12' using format '%Y-%d-%pa': input contains invalid characters
            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/tmpm9nedcmt'
            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. (599f0971-0604-4d94-8b91-66f63913893c != ae786769-86d0-41c7-b848-a...
(+1)        1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (dc7d044f-9561-4ff8-8315-410aec54390e != ab256486-bfe7-42bd-97ce-a...
            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 List(non-null Struct("key": non-null Int32, "value": Utf8)) to List(non-null Struct("key": non-null Int32, "value": non-nu...
            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: "#0", data_type: List(Field { data_type: Float64 }), nullable: true, metadata: {"SAI...
            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: SHOW FUNCTIONS
            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 List(non-null Struct("key": non-null Utf8, "value": Utf8)) to List(non-null Struct("key": non-null Utf8, "value": non-null Utf8))
            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: 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: reflect
            1 UnsupportedOperationException: function: schema_of_xml
            1 UnsupportedOperationException: function: session_window
            1 UnsupportedOperationException: function: to_xml
            1 UnsupportedOperationException: function: try_reflect
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: RANGE
            1 UnsupportedOperationException: unknown function: timestampadd
            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: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
(-2)        0 AnalysisException: Write failed for partition 1: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
(-1)        0 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(304833907280878226), None)]
(-1)        0 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(4839648880438669993), None)]
(-1)        0 AssertionError: "Database 'memory:06ac0298-15ff-42f8-a203-eb8308607c02' 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:ac1436b1-0f26-4820-9a50-9bc6cb37b8e2' 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/tmpwvkl6cjf'
(-1)        0 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (010c02e5-861b-4eab-b5f3-15b375b566a8 != e9d875de-94b9-4976-ae94-e...
(-1)        0 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (6473d379-ec53-442f-af88-c096ba31dfe0 != 89bbd250-b3d8-4ca1-a9e6-6...
(-1)        0 Stream removed (Received RST_STREAM with error code 8 (RST_STREAM))
Passed Tests Diff
--- before.txt	2026-06-14 11:33:54.120404715 +0000
+++ after.txt	2026-06-14 11:33:54.414410371 +0000
@@ -1684,0 +1685 @@
+pyspark/sql/tests/connect/test_parity_datasources.py::DataSourcesParityTests::test_multiline_csv
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.listFunctions
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.inputFiles
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.aggregate
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.array_sort
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.exists
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.exp
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.filter
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.first
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.forall
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.hll_sketch_agg
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.hll_sketch_estimate
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.hll_union
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.hll_union_agg
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_entries
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.reduce
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.reflect
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.regexp_extract
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.theta_sketch_agg
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.theta_sketch_estimate
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.theta_union
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.theta_union_agg
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.timestamp_add
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.to_time
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.to_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.transform
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_to_time
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.window_time
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
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pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_with_timers_single_partition
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_with_wmark_and_non_event_time
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_list_state_metadata
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_map_state_metadata
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_map_state_metadata_with_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_basic
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_init_state_with_extra_transformation
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_init_state_with_timers
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_list_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_list_state_large_list
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_list_state_large_ttl
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_map_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_map_state_large_ttl
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_non_exist_value_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_restart_with_multiple_rows_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_state_with_timers_single_partition
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_transform_with_value_state_metadata
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state_state_variable.py::TransformWithStateInPySparkStateVariableParityTests::test_value_state_ttl_basic
pyspark/sql/tests/connect/pandas/test_parity_pandas_cogrouped_map.py::CogroupedApplyInPandasTests::test_cogroup_apply_in_pandas_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_cogrouped_map.py::CogroupedApplyInPandasTests::test_cogroup_apply_int_to_decimal_coercion
pyspark/sql/tests/connect/pandas/test_parity_pandas_cogrouped_map.py::CogroupedApplyInPandasTests::test_different_group_key_cardinality
pyspark/sql/tests/connect/pandas/test_parity_pandas_grouped_map.py::ApplyInPandasTests::test_apply_in_pandas_int_to_decimal_coercion
pyspark/sql/tests/connect/pandas/test_parity_pandas_grouped_map.py::ApplyInPandasTests::test_apply_in_pandas_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_grouped_map.py::ApplyInPandasTests::test_arrow_cast_enabled_numeric_to_decimal
pyspark/sql/tests/connect/pandas/test_parity_pandas_grouped_map.py::ApplyInPandasTests::test_arrow_cast_enabled_str_to_numeric
pyspark/sql/tests/connect/pandas/test_parity_pandas_grouped_map.py::ApplyInPandasTests::test_grouped_over_window
pyspark/sql/tests/connect/pandas/test_parity_pandas_grouped_map.py::ApplyInPandasTests::test_grouped_over_window_with_key
pyspark/sql/tests/connect/pandas/test_parity_pandas_map.py::MapInPandasParityTests::test_map_in_pandas_with_barrier_mode
pyspark/sql/tests/connect/pandas/test_parity_pandas_map.py::MapInPandasParityTests::test_map_in_pandas_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_map.py::MapInPandasParityTests::test_violate_not_null
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf.py::PandasUDFParityTests::test_pandas_udf_basic_with_return_type_string
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf.py::PandasUDFParityTests::test_pandas_udf_int_to_decimal_coercion
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf.py::PandasUDFParityTests::test_pandas_udf_return_type_error
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf.py::PandasUDFParityTests::test_udf_wrong_arg
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_grouped_agg.py::PandasUDFGroupedAggParityTests::test_arrow_cast_enabled_numeric_to_decimal
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_grouped_agg.py::PandasUDFGroupedAggParityTests::test_grouped_agg_pandas_udf_with_logging
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_arrow_cast_enabled_numeric_to_decimal
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_arrow_cast_enabled_str_to_numeric
pyspark/sql/tests/connect/pandas/test_parity_pandas_udf_scalar.py::PandasUDFScalarParityTests::test_scalar_iter_pandas_udf_with_logging
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_l

(truncated)

@github-actions

github-actions Bot commented Jun 12, 2026

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Ibis Test Report

Commit Information

Commit Revision Branch
After e042373 refs/pull/2059/merge
Before 7a34be7 refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
test-ibis After 75 1510 166 4523 212.14
Before 75 1510 166 4523 219.33

Test Details

Error Counts
           76 Total
           27 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           31 UnsupportedOperationException: lambda function
            8 SparkRuntimeException: MERGE planning expects a pre-expanded logical plan (RowLevelWriteNode). Ensure expand_row_level_op is enabled; MERGE is currently only supported for lakehouse tables.
            5 IllegalArgumentException: invalid argument: found TRUNCATE at 0:8 expected something else, ';', statement, or end of input
            4 AssertionError: Series are different
            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: DataFrame.iloc[:, 0] (column name="result_col") are different
            2 IllegalArgumentException: invalid argument: found PARTITIONS at 5:15 expected 'DATABASES', 'SCHEMAS', 'NAMESPACES', 'CATALOGS', 'TABLES', 'TABLE', 'CREATE', 'COLUMNS', 'VIEWS', or 'FUNCTIONS'
            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_4y2emp6hcbdc5lnqlruqti5dxq
            1 AnalysisException: error in SQL parser: found : at 2:3 expected '0', '1', '2', '3', '4', '5', '6', '7', '8', or '9'
            1 AssertionError: DataFrame.iloc[:, 0] (column name="id") are different
            1 AssertionError: DataFrame.iloc[:, 1] (column name="collect_udf") are different
            1 AssertionError: Series NA mask are different
(+1)        1 AssertionError: assert 'ibis_cached_v64m752egjgzbpw662fnlua5va' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
            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_udzluwy52vai7nbwxsksvjryey
(-1)        0 AssertionError: assert 'ibis_cached_eyqt2q2wuvfi3ctsyodnw6ueri' 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_aggregate_list_like[pyspark-list]
ibis/backends/tests/test_aggregation.py::test_aggregate_list_like[pyspark-ndarray]
ibis/backends/tests/test_aggregation.py::test_aggregate_mixed_udf[pyspark]
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_array.py::test_array_agg_numeric[pyspark-no-nulls-means]
ibis/backends/tests/test_array.py::test_array_agg_numeric[pyspark-no-nulls-sums]
ibis/backends/tests/test_array.py::test_array_agg_numeric[pyspark-nulls-means]
ibis/backends/tests/test_array.py::test_array_agg_numeric[pyspark-nulls-sums]
ibis/backends/tests/test_array.py::test_array_filter[pyspark-deferred-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter[pyspark-deferred-nulls]
ibis/backends/tests/test_array.py::test_array_filter[pyspark-lambda-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter[pyspark-lambda-nulls]
ibis/backends/tests/test_array.py::test_array_filter[pyspark-partial-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter[pyspark-partial-nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index[pyspark-lambda-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index[pyspark-lambda-nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index[pyspark-partial-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index[pyspark-partial-nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index_lambda[pyspark-lambda-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index_lambda[pyspark-lambda-nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index_lambda[pyspark-partial-no_nulls]
ibis/backends/tests/test_array.py::test_array_filter_with_index_lambda[pyspark-partial-nulls]
ibis/backends/tests/test_array.py::test_array_map[pyspark-deferred-no_nulls]
ibis/backends/tests/test_array.py::test_array_map[pyspark-deferred-nulls]
ibis/backends/tests/test_array.py::test_array_map[pyspark-lambda-no_nulls]
ibis/backends/tests/test_array.py::test_array_map[pyspark-lambda-nulls]
ibis/backends/tests/test_array.py::test_array_map[pyspark-partial-no_nulls]
ibis/backends/tests/test_array.py::test_array_map[pyspark-partial-nulls]
ibis/backends/tests/test_array.py::test_array_map_with_conflicting_names[pyspark]
ibis/backends/tests/test_array.py::test_array_map_with_index[pyspark-lambda-no_nulls]
ibis/backends/tests/test_array.py::test_array_map_with_index[pyspark-lambda-nulls]
ibis/backends/tests/test_array.py::test_array_map_with_index[pyspark-partial-no_nulls]
ibis/backends/tests/test_array.py::test_array_map_with_index[pyspark-partial-nulls]
ibis/backends/tests/test_array.py::test_complex_array_map[pyspark]
ibis/backends/tests/test_array.py::test_table_unnest_column_expr[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_client.py::test_upsert_from_dataframe[pyspark]
ibis/backends/tests/test_client.py::test_upsert_from_expr[pyspark-False]
ibis/backends/tests/test_client.py::test_upsert_from_expr[pyspark-True]
ibis/backends/tests/test_client.py::test_upsert_from_memtable[pyspark-sch0-expectation0]
ibis/backends/tests/test_client.py::test_upsert_from_memtable[pyspark-sch1-expectation1]
ibis/backends/tests/test_client.py::test_upsert_from_memtable[pyspark-sch2-expectation2]
ibis/backends/tests/test_client.py::test_upsert_from_memtable[pyspark-sch3-expectation3]
ibis/backends/tests/test_client.py::test_upsert_from_memtable[pyspark-sch4-expectation4]
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]
ibis/backends/tests/test_window.py::test_ungrouped_unbounded_window[pyspark-unordered-lag]
ibis/backends/tests/test_window.py::test_ungrouped_unbounded_window[pyspark-unordered-lead]

@codecov

codecov Bot commented Jun 12, 2026

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Codecov Report

❌ Patch coverage is 94.27711% with 19 lines in your changes missing coverage. Please review.

Files with missing lines Patch % Lines
crates/sail-sql-analyzer/src/statement.rs 92.40% 12 Missing ⚠️
crates/sail-data-source/src/listing/source.rs 82.60% 4 Missing ⚠️
crates/sail-plan/src/resolver/command/insert.rs 96.38% 3 Missing ⚠️
@@            Coverage Diff             @@
##             main    #2059      +/-   ##
==========================================
- Coverage   77.12%   76.57%   -0.55%     
==========================================
  Files         997      997              
  Lines      158202   158439     +237     
==========================================
- Hits       122012   121325     -687     
- Misses      36190    37114     +924     
Flag Coverage Δ
catalog-integration-tests 24.62% <43.37%> (+0.05%) ⬆️
ibis-tests 16.16% <43.97%> (+0.11%) ⬆️
python-unit-tests 59.17% <93.97%> (+0.10%) ⬆️
rust-slow-tests 44.50% <4.21%> (-0.64%) ⬇️
rust-unit-tests 40.32% <4.21%> (-0.63%) ⬇️
spark-tests 31.00% <45.48%> (+0.08%) ⬆️
Files with missing lines Coverage Δ
crates/sail-catalog-system/src/provider.rs 49.42% <100.00%> (+0.58%) ⬆️
crates/sail-catalog/src/command.rs 79.88% <100.00%> (+0.03%) ⬆️
crates/sail-catalog/src/manager/view.rs 96.61% <100.00%> (+0.07%) ⬆️
crates/sail-catalog/src/temp_view.rs 96.89% <100.00%> (+0.12%) ⬆️
...rates/sail-common-datafusion/src/catalog/status.rs 81.27% <ø> (ø)
crates/sail-common-datafusion/src/datasource.rs 83.33% <ø> (ø)
...rates/sail-data-source/src/formats/parquet/read.rs 82.60% <ø> (ø)
crates/sail-data-source/src/formats/rate/mod.rs 75.00% <ø> (ø)
crates/sail-data-source/src/formats/socket/mod.rs 71.42% <ø> (ø)
crates/sail-data-source/src/listing/planner.rs 76.02% <100.00%> (+1.76%) ⬆️
... and 15 more

... and 14 files with indirect coverage changes

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@github-actions

github-actions Bot commented Jun 12, 2026

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Gold Data Report

Notes
  1. The tables below show the number of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) in gold data input processing.
  2. A positive input is a valid test case, while a negative input is a test case that is expected to fail.

Commit Information

Commit Revision Branch
After e042373 refs/pull/2059/merge
Before 7a34be7 main

Summary

Commit TP TN FP FN Total
After 2164 195 51 213 2623
Before 2164 195 51 213 2623

Details

Gold Data Metrics
Group File Commit TP TN FP FN Total
spark data_type.json After 48 11 2 3 64
Before 48 11 2 3 64
expression/case.json After 5 0 0 0 5
Before 5 0 0 0 5
expression/cast.json After 4 0 0 0 4
Before 4 0 0 0 4
expression/current.json After 3 0 0 0 3
Before 3 0 0 0 3
expression/date.json After 4 0 1 0 5
Before 4 0 1 0 5
expression/interval.json After 346 4 1 0 351
Before 346 4 1 0 351
expression/large.json After 2 0 0 0 2
Before 2 0 0 0 2
expression/like.json After 29 10 0 0 39
Before 29 10 0 0 39
expression/misc.json After 111 5 1 1 118
Before 111 5 1 1 118
expression/numeric.json After 31 6 1 0 38
Before 31 6 1 0 38
expression/string.json After 18 1 0 0 19
Before 18 1 0 0 19
expression/timestamp.json After 7 0 3 0 10
Before 7 0 3 0 10
expression/window.json After 73 0 1 0 74
Before 73 0 1 0 74
function/agg.json After 164 0 0 22 186
Before 164 0 0 22 186
function/array.json After 44 0 0 0 44
Before 44 0 0 0 44
function/bitwise.json After 15 0 0 0 15
Before 15 0 0 0 15
function/collection.json After 12 0 0 0 12
Before 12 0 0 0 12
function/conditional.json After 15 0 0 0 15
Before 15 0 0 0 15
function/conversion.json After 2 0 0 0 2
Before 2 0 0 0 2
function/csv.json After 5 0 0 0 5
Before 5 0 0 0 5
function/datetime.json After 162 0 0 18 180
Before 162 0 0 18 180
function/generator.json After 13 0 0 0 13
Before 13 0 0 0 13
function/hash.json After 5 0 0 2 7
Before 5 0 0 2 7
function/json.json After 22 0 0 0 22
Before 22 0 0 0 22
function/lambda.json After 1 0 0 30 31
Before 1 0 0 30 31
function/map.json After 10 0 0 1 11
Before 10 0 0 1 11
function/math.json After 124 0 0 0 124
Before 124 0 0 0 124
function/misc.json After 39 0 0 35 74
Before 39 0 0 35 74
function/predicate.json After 72 0 0 7 79
Before 72 0 0 7 79
function/st.json After 2 0 0 5 7
Before 2 0 0 5 7
function/string.json After 193 0 0 12 205
Before 193 0 0 12 205
function/struct.json After 2 0 0 0 2
Before 2 0 0 0 2
function/url.json After 10 0 0 0 10
Before 10 0 0 0 10
function/variant.json After 28 0 0 0 28
Before 28 0 0 0 28
function/window.json After 6 0 0 3 9
Before 6 0 0 3 9
function/xml.json After 10 0 0 7 17
Before 10 0 0 7 17
plan/ddl_alter_table.json After 49 14 3 11 77
Before 49 14 3 11 77
plan/ddl_alter_view.json After 5 1 0 0 6
Before 5 1 0 0 6
plan/ddl_analyze_table.json After 17 6 0 0 23
Before 17 6 0 0 23
plan/ddl_cache.json After 4 0 1 0 5
Before 4 0 1 0 5
plan/ddl_create_index.json After 0 0 0 3 3
Before 0 0 0 3 3
plan/ddl_create_table.json After 60 27 11 7 105
Before 60 27 11 7 105
plan/ddl_delete_from.json After 2 1 0 0 3
Before 2 1 0 0 3
plan/ddl_describe.json After 7 0 0 0 7
Before 7 0 0 0 7
plan/ddl_drop_index.json After 0 0 0 2 2
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plan/ddl_drop_view.json After 5 0 0 0 5
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plan/ddl_insert_into.json After 16 1 1 0 18
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plan/ddl_insert_overwrite.json After 9 0 2 0 11
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plan/ddl_update.json After 2 1 0 0 3
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plan/error_alter_table.json After 0 2 0 0 2
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plan/error_analyze_table.json After 0 1 0 0 1
Before 0 1 0 0 1
plan/error_create_table.json After 0 6 0 0 6
Before 0 6 0 0 6
plan/error_describe.json After 0 1 0 0 1
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plan/error_join.json After 0 2 0 0 2
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plan/error_load_data.json After 0 1 0 0 1
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plan/error_misc.json After 0 14 0 0 14
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plan/error_order_by.json After 1 4 0 0 5
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plan/error_with.json After 0 1 0 0 1
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plan/plan_alter_view.json After 0 2 0 0 2
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plan/plan_create_view.json After 0 2 0 0 2
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plan/plan_explain.json After 0 1 1 0 2
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plan/plan_group_by.json After 9 1 0 1 11
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plan/plan_hint.json After 25 0 3 0 28
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plan/plan_insert_into.json After 3 0 0 0 3
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plan/plan_insert_overwrite.json After 2 0 0 0 2
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plan/plan_join.json After 59 2 1 0 62
Before 59 2 1 0 62
plan/plan_misc.json After 15 4 0 10 29
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plan/plan_order_by.json After 15 5 1 10 31
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plan/plan_select.json After 85 14 5 16 120
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plan/plan_set_operation.json After 17 0 0 0 17
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plan/plan_with.json After 6 0 1 0 7
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plan/unpivot_join.json After 4 0 0 0 4
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plan/unpivot_select.json After 14 6 0 0 20
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table_schema.json After 8 6 0 0 14
Before 8 6 0 0 14

@shehabgamin shehabgamin added run spark tests Trigger Spark tests on a pull request run ibis tests Trigger Ibis tests on a pull request run catalog tests Trigger catalog tests on a pull request labels Jun 12, 2026
@shehabgamin shehabgamin changed the title fix: add support for USING with temporary view fix: data source temporary views Jun 14, 2026
let file_group = FileGroup::from(vec![partitioned_file]);
let file_scan_config = FileScanConfigBuilder::new(object_store_url, file_source)
.with_file_groups(vec![file_group])
.with_expr_adapter(Some(Arc::new(SchemaEvolutionPhysicalExprAdapterFactory {})))

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@lonless9 I think this was missing from here. Let me know if it should be removed though!

.with_file_groups(input.file_groups)
.with_constraints(input.constraints)
.with_statistics(input.statistics)
.with_expr_adapter(Some(Arc::new(SchemaEvolutionPhysicalExprAdapterFactory {})))

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@linhr @lonless9 I think this was missing from here. Let me know if it should be removed though!

.and_then(|x| x.get(&cache_key))
{
if cached.is_valid_for(meta) {
// Skip a cached entry whose column count differs to avoid an out-of-bounds panic

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This was a bad bug that broadly impacted any code paths that relied on list_files_for_scan.

@shehabgamin shehabgamin marked this pull request as ready for review June 14, 2026 11:23
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