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fix: use TOP for MSSQL schema queries - #2495

Merged
linhr merged 1 commit into
lakehq:mainfrom
ErikBPF:fix/mssql-schema-inference
Aug 26, 2026
Merged

fix: use TOP for MSSQL schema queries#2495
linhr merged 1 commit into
lakehq:mainfrom
ErikBPF:fix/mssql-schema-inference

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@ErikBPF
@ErikBPF ErikBPF commented Aug 24, 2026 •
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What

  • use SELECT TOP 0 for SQL Server schema inference
  • keep LIMIT 0 for other JDBC sources
  • cover both query and dbtable options in default unit CI

Fixes #2449 — Read from SQL Server fails with syntax error

Testing

  • .venvs/default/bin/pytest -q python/pysail/tests/test_jdbc.py — 2 passed
  • nearby JDBC unit checks — 7 passed
  • hatch fmt --check

The PostgreSQL testcontainer suite needs Docker and could not run locally.

@github-actions
github-actions Bot commented Aug 24, 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 5ff6dff refs/pull/2495/merge
Before 9544c92 main

Summary

Commit TP TN FP FN Total
After 2223 217 50 312 2802
Before 2223 217 50 312 2802

Details

Gold Data Metrics
Group File Commit TP TN FP FN Total
spark data_type.json After 50 11 2 3 66
Before 50 11 2 3 66
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 167 0 0 31 198
Before 167 0 0 31 198
function/array.json After 44 0 0 0 44
Before 44 0 0 0 44
function/avro.json After 0 0 0 4 4
Before 0 0 0 4 4
function/bitwise.json After 15 0 0 0 15
Before 15 0 0 0 15
function/collection.json After 12 0 0 1 13
Before 12 0 0 1 13
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 167 0 0 40 207
Before 167 0 0 40 207
function/generator.json After 13 0 0 0 13
Before 13 0 0 0 13
function/hash.json After 6 0 0 1 7
Before 6 0 0 1 7
function/json.json After 23 0 0 0 23
Before 23 0 0 0 23
function/lambda.json After 21 0 0 10 31
Before 21 0 0 10 31
function/map.json After 11 0 0 0 11
Before 11 0 0 0 11
function/math.json After 124 0 0 0 124
Before 124 0 0 0 124
function/misc.json After 33 0 0 13 46
Before 33 0 0 13 46
function/predicate.json After 72 0 0 7 79
Before 72 0 0 7 79
function/protobuf.json After 0 0 0 2 2
Before 0 0 0 2 2
function/sketch.json After 6 0 0 35 41
Before 6 0 0 35 41
function/st.json After 2 0 0 8 10
Before 2 0 0 8 10
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 2 30
Before 28 0 0 2 30
function/vector.json After 1 0 0 10 11
Before 1 0 0 10 11
function/window.json After 6 0 0 3 9
Before 6 0 0 3 9
function/xml.json After 15 0 0 2 17
Before 15 0 0 2 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 4 0 0 0 4
Before 4 0 0 0 4
plan/ddl_drop_index.json After 0 0 0 2 2
Before 0 0 0 2 2
plan/ddl_drop_view.json After 5 0 0 0 5
Before 5 0 0 0 5
plan/ddl_insert_into.json After 17 3 1 11 32
Before 17 3 1 11 32
plan/ddl_insert_overwrite.json After 9 0 2 0 11
Before 9 0 2 0 11
plan/ddl_load_data.json After 4 0 0 0 4
Before 4 0 0 0 4
plan/ddl_merge_into.json After 8 5 3 0 16
Before 8 5 3 0 16
plan/ddl_misc.json After 10 0 0 10 20
Before 10 0 0 10 20
plan/ddl_replace_table.json After 56 13 8 7 84
Before 56 13 8 7 84
plan/ddl_select.json After 1 0 0 0 1
Before 1 0 0 0 1
plan/ddl_show_views.json After 7 0 0 0 7
Before 7 0 0 0 7
plan/ddl_uncache.json After 2 0 0 0 2
Before 2 0 0 0 2
plan/ddl_update.json After 2 1 0 0 3
Before 2 1 0 0 3
plan/error_alter_table.json After 0 2 0 0 2
Before 0 2 0 0 2
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
Before 0 1 0 0 1
plan/error_join.json After 0 2 0 0 2
Before 0 2 0 0 2
plan/error_load_data.json After 0 1 0 0 1
Before 0 1 0 0 1
plan/error_misc.json After 0 14 0 0 14
Before 0 14 0 0 14
plan/error_order_by.json After 1 4 0 0 5
Before 1 4 0 0 5
plan/error_select.json After 0 15 0 0 15
Before 0 15 0 0 15
plan/error_with.json After 0 1 0 0 1
Before 0 1 0 0 1
plan/plan_alter_view.json After 0 2 0 0 2
Before 0 2 0 0 2
plan/plan_create_view.json After 0 2 0 0 2
Before 0 2 0 0 2
plan/plan_explain.json After 0 1 1 0 2
Before 0 1 1 0 2
plan/plan_group_by.json After 9 1 0 1 11
Before 9 1 0 1 11
plan/plan_hint.json After 25 0 3 0 28
Before 25 0 3 0 28
plan/plan_insert_into.json After 3 0 0 0 3
Before 3 0 0 0 3
plan/plan_insert_overwrite.json After 2 0 0 0 2
Before 2 0 0 0 2
plan/plan_join.json After 59 9 1 4 73
Before 59 9 1 4 73
plan/plan_misc.json After 15 4 0 10 29
Before 15 4 0 10 29
plan/plan_order_by.json After 15 5 1 10 31
Before 15 5 1 10 31
plan/plan_select.json After 107 26 3 51 187
Before 107 26 3 51 187
plan/plan_set_operation.json After 17 0 0 0 17
Before 17 0 0 0 17
plan/plan_with.json After 6 0 2 0 8
Before 6 0 2 0 8
plan/unpivot_join.json After 4 0 0 0 4
Before 4 0 0 0 4
plan/unpivot_select.json After 14 6 0 0 20
Before 14 6 0 0 20
table_schema.json After 8 6 0 0 14
Before 8 6 0 0 14

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github-actions Bot commented Aug 24, 2026
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Spark 3.5.9 Test Report

Commit Information

Commit Revision Branch
After 743b06e refs/pull/2495/merge
Before 9544c92 refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 10 14 1 6 4.03
Before 10 14 1 6 6.03
doctest-column After 33 2 4.10
Before 33 2 5.53
doctest-dataframe After 14 8000 83 10 3 5.54
Before 14 83 10 3 8.56
doctest-functions After 13 387 9 7 11.64
Before 13 387 9 7 17.17
test-connect After 109 893 170 701 103.08
Before 109 893 170 696 142.94

Test Details

Error Counts 
          146 Total
           84 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           13 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 handle add artifacts
            9 DocTestFailure
            6 UnsupportedOperationException: PlanNode::CacheTable
            5 UnsupportedOperationException: function: input_file_name
            4 AssertionError: False is not true
            3 ValueError: Converting to Python dictionary is not supported when duplicate field names are present
            2 AnalysisException: Could not find config namespace "spark"
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' expects 2 arguments but received 3,...
            2 AnalysisException: No table format found for: orc
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AssertionError
            2 AssertionError: 0 not greater than or equal to 1
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 'NAMESPACE', 'OR', 'TEMP', 'TEMPORARY', 'EXTERNAL', 'TABLE', 'GLOBAL', or 'VIEW'
            2 IllegalArgumentException: invalid argument: found RESET at 0:5 expected something else, ';', statement, or end of input
            2 PySparkNotImplementedError: [NOT_IMPLEMENTED] rdd() is not implemented.
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@eitum82lw5zo0ut7uovnbtr7k(#9) PARTITION BY [#8] ORDER BY [#9 ASC NULLS...
            2 UnsupportedOperationException: approx quantile
            2 UnsupportedOperationException: collect metrics
            2 UnsupportedOperationException: freq items
            2 UnsupportedOperationException: function: session_window
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: user defined data type should only exist in a field
            2 UnsupportedOperationException: with watermark
            2 handle artifact statuses
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
(+1)        1 AnalysisException: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
            1 AnalysisException: not supported: qualified function name
(+1)        1 AssertionError: "Database 'memory:140550e5-b2ff-4fbe-93d1-4fda61fbe735' 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:9fa02740-856f-4a1b-92c1-c7a4c8a647ab' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
            1 AssertionError: 1 != 0
            1 AssertionError: 4 != 10
            1 AssertionError: AnalysisException not raised
            1 AssertionError: AnalysisException not raised by <lambda>
            1 AssertionError: Exception not raised
            1 AssertionError: Exception not raised by <lambda>
            1 AssertionError: Lists differ: [Row([178 chars]on='<<'), Row(function='<='), Row(function='<=[14985 chars]'~')] != [Row([178 chars]on='<='), Row(function='<=>'), Row(function='<[11284 chars]'~')]
            1 AssertionError: Lists differ: [Row(id=90, name='90'), Row(id=91, name='91'), Ro[176 chars]99')] != [Row(id=15, name='15'), Row(id=16, name='16'), Ro[176 chars]24')]
            1 AssertionError: Lists differ: [Row(ln(id)=0.0, ln(id)=0.0, struct(id, name)=Row(id=[1232 chars]0'))] != [Row(ln(id)=4.31748811353631, ln(id)=4.31748811353631[1312 chars]4'))]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Andy', ag[374 chars]one)] != [Row(age=19, name='Justin'), Row(age=19, name=[374 chars]el')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Justin', [34 chars]one)] != [Row(_corrupt_record=' "age":19}\n', name=None[104 chars]el')]
            1 AssertionError: Row(point='[1.0, 2.0]', pypoint='[3.0, 4.0]') != Row(point='(1.0, 2.0)', pypoint='[3.0, 4.0]')
            1 AssertionError: StorageLevel(False, True, True, False, 1) != StorageLevel(False, False, False, False, 1)
            1 AssertionError: Struc[15 chars]eld('a', NullType(), True), StructField('b', L[51 chars]ue)]) != Struc[15 chars]eld('b', LongType(), True), StructField('c', S[15 chars]ue)])
            1 AssertionError: Struc[30 chars]estampType(), True), StructField('val', IntegerType(), True)]) != Struc[30 chars]estampType(), True), StructField('val', IntegerType(), False)])
            1 AssertionError: Struc[32 chars]e(), False), StructField('b', DoubleType(), Fa[158 chars]ue)]) != Struc[32 chars]e(), True), StructField('b', DoubleType(), Tru[154 chars]ue)])
            1 AssertionError: Struc[40 chars]ue), StructField('val', ArrayType(DoubleType(), False), True)]) != Struc[40 chars]ue), StructField('val', PythonOnlyUDT(), True)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AssertionError: dtype('<M8[us]') != 'datetime64[ns]'
            1 IllegalArgumentException: invalid argument: field not found in input schema: col1
            1 IllegalArgumentException: invalid argument: table does not exist: ObjectName([Identifier("test_table")])
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] toJSON() is not implemented.
            1 PythonException:  AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 PythonException:  AttributeError: 'list' object has no attribute 'x'
            1 PythonException:  AttributeError: 'list' object has no attribute 'y'
            1 SparkRuntimeException: Cast error: Cannot cast string '1997/02/28 10:30:00' to value of Date32 type
            1 SparkRuntimeException: Invalid argument error: 83.140 is too large to store in a Decimal128 of precision 4. Max is 9.999
            1 SparkRuntimeException: Json error: Not valid JSON: EOF while parsing a list at line 1 column 1
            1 SparkRuntimeException: Json error: Not valid JSON: expected value at line 1 column 2
            1 SparkRuntimeException: Parser error: Error while parsing value '0
            1 SparkRuntimeException: This feature is not implemented: Unsupported CAST from Map("entries": non-null Struct("key": non-null Int32, "value": non-null Int32), unsorted) to Null
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@eitum82lw5zo0ut7uovnbtr7k(#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@eitum82lw5zo0ut7uovnbtr7k(plus_one@b0z7ywph6dm2fca6bfkma9vd7(#9)) PART...
            1 UnsupportedOperationException: PlanNode::ClearCache
            1 UnsupportedOperationException: PlanNode::IsCached
            1 UnsupportedOperationException: PlanNode::RecoverPartitions
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: apply in pandas with state
            1 UnsupportedOperationException: bucketing for writing listing table format
            1 UnsupportedOperationException: deduplicate within watermark
            1 UnsupportedOperationException: function: input_file_block_length
            1 UnsupportedOperationException: function: input_file_block_start
            1 UnsupportedOperationException: function: map_filter
            1 UnsupportedOperationException: function: map_zip_with
            1 UnsupportedOperationException: function: transform_keys
            1 UnsupportedOperationException: function: transform_values
            1 UnsupportedOperationException: function: zip_with
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown function: distributed_sequence_id
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.
(-1)        0 AnalysisException: UNION queries have different number of columns: left has 3 columns whereas right has 2 columns
(-1)        0 AssertionError: "Database 'memory:9605d1ab-3c4f-4287-bfd9-4f779a846855' 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:fae30a96-01f7-4b38-984f-d07811855823' dropped." does not match "No table format found for: jdbc. The JDBC data source is provided by pysail and must be registered bef...
Passed Tests Diff

(empty)

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

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Spark 4.2.0 Test Report

Commit Information

Commit Revision Branch
After 743b06e refs/pull/2495/merge
Before 9544c92 refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 21 13 1 6.79
Before 21 13 1 5.59
doctest-column After 36 6.25
Before 36 5.17
doctest-dataframe After 28 93 3 2 10.85
Before 28 93 3 2 8.00
doctest-functions After 107 414 10 5 27.08
Before 107 414 10 5 19.67
test-connect After 830 1961 304 390 213.73
Before 831 1960 304 390 168.39

Test Details

Error Counts 
(-1)      986 Total
(+1)      322 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           66 IllegalArgumentException: missing argument: Python UDF output type
           60 PythonException:  AttributeError: 'ArrowStreamPandasUDTFSerializer' object has no attribute '_create_struct_array'
           50 UnsupportedOperationException: unresolved table valued function
           34 DocTestFailure
           26 AssertionError: 1 != 0 : dict_keys([])
           24 UnsupportedOperationException: function: tuple_sketch_agg_integer
           23 UnsupportedOperationException: function: tuple_sketch_agg_double
           22 UnsupportedOperationException: handle add artifacts
           19 AssertionError: Exception not raised
           19 UnsupportedOperationException: unsupported subquery type
           18 UnsupportedOperationException: unknown function: kll_sketch_agg_bigint
           13 UnsupportedOperationException: collect metrics
           10 AnalysisException: attribute ObjectName([Identifier("c")]) is missing from the schema: cannot resolve attribute
           10 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 UnsupportedOperationException: unknown function: kll_sketch_agg_double
           10 UnsupportedOperationException: unknown function: kll_sketch_agg_float
           10 UnsupportedOperationException: with watermark
            9 AssertionError: 3 != 0 : []
            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": "{}"} },...
            8 AssertionError
            8 AssertionError: "DATAFRAME_INPUT_NOT_SINGLE_COLUMN" does not match "parse"
            8 UnsupportedOperationException: nearest-by join
            8 UnsupportedOperationException: parse
            7 ParseException: error in SQL parser: found { at 7:8 expected identifier, or '>'
            7 UnsupportedOperationException: function: input_file_name
            7 UnsupportedOperationException: user defined data type should only exist in a field
            6 AssertionError: "Exception thrown when converting pandas.Series" does not match " AttributeError: 'ArrowStreamPandasUDTFSerializer' object has no attribute '_create_struct_array'
            6 AssertionError: 1 != 0
            6 AssertionError: False is not true
            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 ParseException: error in SQL parser: found collate at 14:21 expected ':', or data type
(-1)        5 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 100.00000 % )
            5 PythonException: 
            5 UnsupportedOperationException: streaming source name
            5 UnsupportedOperationException: unknown function: distributed_sequence_id
            4 AnalysisException: Temporary View not found: t2
            4 AnalysisException: ambiguous attribute: ObjectName([Identifier("id")])
            4 AssertionError: "DATAFRAME_INPUT_NOT_SINGLE_COLUMN" does not match "XML parse relation"
            4 AssertionError: "DATAFRAME_INPUT_NOT_STRING_TYPE" does not match "parse"
            4 AssertionError: 3 != 0 : dict_keys([])
            4 AssertionError: PythonException not raised
            4 UnsupportedOperationException: XML parse relation
            4 UnsupportedOperationException: approx quantile
            4 UnsupportedOperationException: freq items
            4 UnsupportedOperationException: transpose
            4 UnsupportedOperationException: wildcard with plan ID
            4 clone session
            3 AnalysisException: Invalid Python user-defined table function return type. Expect a struct type, but got Int32.
            3 AnalysisException: checkpoint object-store path is not configured; set execution.checkpoint.path
            3 AssertionError: ".*AnalyzeResult.*schema.*" does not match "TypeError: 'StringType' object is not iterable"
            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:  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:  PySparkValueError: Failed to convert the value of the column '_0' with type 'int8' to Arrow type 'decimal128(10, 0)'.
            3 SparkRuntimeException: Exception: path is not specified
            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: "#0", data_type: List(Field { data_type: Float64 }), nullable: true, metadata: {"SAI...
            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: drop database
            3 UnsupportedOperationException: table argument options in subquery expression
            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
(-1)        2 AnalysisException: Write failed for partition 0: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            2 AnalysisException: ambiguous attribute: ObjectName([Identifier("b")])
            2 AnalysisException: attribute ObjectName([Identifier("t")]) is missing from the schema: cannot resolve attribute
            2 AnalysisException: element_at expects List or Map type as first argument, got Null
            2 AnalysisException: explode should be rewritten during logical plan analysis
            2 AnalysisException: not supported: function exists
            2 AssertionError: "DATAFRAME_INPUT_NOT_STRING_TYPE" does not match "XML parse relation"
            2 AssertionError: AnalysisException not raised by <lambda>
            2 AssertionError: Lists differ: [Row([29 chars]alue=0), Row(value=0), Row(value=0), Row(value[195 chars]e=3)] != [Row([29 chars]alue=1), Row(value=1), Row(value=2), Row(value[27 chars]e=3)]
            2 AssertionError: StructType([StructField('value', BinaryTy[55 chars]se)]) != VariantType()
            2 AssertionError: unexpectedly None
            2 IllegalArgumentException: invalid argument: cross join with join criteria
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 
992E
'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 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 150.00000 % )
            2 PySparkValueError: [MALFORMED_GEOMETRY] Geometry binary is malformed. Please check the data source is valid.
            2 PythonException:  AssertionError: 1
            2 PythonException:  AssertionError: Expected Series, got <class 'pandas.core.frame.DataFrame'>
            2 PythonException:  AssertionError: assert None is not None
            2 PythonException:  AttributeError: 'NoneType' object has no attribute 'cpus'
            2 PythonException:  PySparkValueError: Failed to convert the value of the column '_0' with type 'object' to Arrow type 'int32'.
            2 SparkRuntimeException: Error during planning: Correlated scalar subquery must be aggregated to return at most one row
            2 SparkRuntimeException: Python error: [my-json::partitions] AttributeError: 'pyarrow.lib.Schema' object has no attribute 'fieldNames'
            2 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@5avxe0u9zluucx354gjc4jshm(#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@796fikka6oemw2usqo4swwzhh(#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@22nc5tvotnlipqf5d3kyd1vfx(#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@7llvg2w5ifmwh5ygm91ens26h(#3) PARTITION BY [#2] ORDER BY [#3 ASC ...
            2 UnsupportedOperationException: CLUSTER BY for write
            2 UnsupportedOperationException: PARTITION for write
            2 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#0", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t1"...
            2 UnsupportedOperationException: Physical plan does not support logical expression Wildcard { qualifier: None, options: WildcardOptions { ilike: None, exclude: None, except: None, replace: None, rename:...
            2 UnsupportedOperationException: analyze table
            2 UnsupportedOperationException: create resource profile command
            2 UnsupportedOperationException: drop table
            2 UnsupportedOperationException: drop view
            2 UnsupportedOperationException: function: is_valid_variant
            2 UnsupportedOperationException: function: st_setsrid
            2 UnsupportedOperationException: function: st_srid
            2 UnsupportedOperationException: function: try_make_interval
            2 UnsupportedOperationException: get create table string
            2 UnsupportedOperationException: get table properties
            2 UnsupportedOperationException: handle analyze same semantics
            2 UnsupportedOperationException: list views
            2 UnsupportedOperationException: named window function arguments
            2 UnsupportedOperationException: truncate table
            2 UnsupportedOperationException: unknown function: try_to_date
            2 handle add artifacts
            2 handle artifact statuses
            1 AnalysisException: Could not find config namespace "mapred"
            1 AnalysisException: Could not find config namespace "spark"
            1 AnalysisException: Database not found: testcat
            1 AnalysisException: Failed to parse schema '{"fields":[{"metadata":{},"name":"a","nullable":true,"type":"long"}],"type":"struct"}': error in SQL parser: found { at 7:8 expected identifier, or '>'
            1 AnalysisException: Invalid WKB at index 0: WKB data too short
            1 AnalysisException: No table format found for: xml
            1 AnalysisException: Spark `try_variant_get` function: path must be a constant string
            1 AnalysisException: Spark `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)        1 AnalysisException: Write failed for partition 2: External error: Python error: [TestJsonWriter::write] AttributeError: 'NoneType' object has no attribute 'partitionId'
            1 AnalysisException: ambiguous attribute: ObjectName([Identifier("i")])
            1 AnalysisException: array_except received incompatible types: List(non-null Int32), List(Int32)
            1 AnalysisException: array_reverse does not support type 'Binary'.
            1 AnalysisException: attribute ObjectName([Identifier("x")]) is missing from the schema: cannot resolve attribute
            1 AnalysisException: foobar
            1 AnalysisException: invalid datetime pattern: 'a' requires width 1
            1 AnalysisException: invalid parsed date: input is out of range
            1 AnalysisException: join condition should not be empty
            1 AnalysisException: not supported: qualified function name
            1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#0" }), Literal(Int32(123), None)]
(+1)        1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(2673792110522780946), None)]
(+1)        1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(4141634911684806102), None)]
            1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#2" }), Column(Column { relation: None, name: "#3" })]
            1 AnalysisException: one value expected: [ScalarFunction(ScalarFunction { func: ScalarUDF { inner: StGeogFromWKB { signature: Signature { type_signature: Exact([Binary]), volatility: Immutable, paramete...
            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: "CANNOT_RESOLVE_DATAFRAME_COLUMN" does not match "attribute ObjectName([Identifier("b")]) is missing from the schema: cannot resolve attribute"
            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:ccf93d52-98f6-42f7-bcc0-63d6b1900011' 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:eebb5965-63a9-430a-9587-a33e1689ded2' 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: "Python worker process terminated due to idle timeout \(timeout: 1 seconds\)" does not match " AttributeError: 'ArrowStreamPandasUDTFSerializer' object has no attribute '_create_struct...
            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: "UDTF_RETURN_SCHEMA_MISMATCH" does not match " AttributeError: 'ArrowStreamPandasUDTFSerializer' object has no attribute '_create_struct_array'
            1 AssertionError: "\[UDTF_EXEC_ERROR\] User defined table function encountered an error in the 'terminate' method: terminate error" does not match " AttributeError: 'ArrowStreamPandasUDTFSerializer' obj...
            1 AssertionError: "is null" does not match "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: "terminate error" does not match " AttributeError: 'ArrowStreamPandasUDTFSerializer' object has no attribute '_create_struct_array'
            1 AssertionError: "terminate\(\) missing 1 required positional argument: 'a'" does not match " AttributeError: 'ArrowStreamPandasUDTFSerializer' object has no attribute '_create_struct_array'
            1 AssertionError: '+------------------+\n|from_xml(a, a INT)|\n+--------[75 chars]-+\n' != '+-----------+\n|from_xml(a)|\n+-----------+\n|       [33 chars]-+\n'
            1 AssertionError: '+---[1064 chars]---------------------------------+\nonly showing top 20 rows\n' != '+---[1064 chars]---------------------------------+\nonly showing top 20 rows'
            1 AssertionError: '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row' != '+---[23 chars]---+-----+\n|  1|    1|\n+---+-----+\nonly showing top 1 row\n'
            1 AssertionError: 'INVALID_CLONE_SESSION_REQUEST.TARGET_SESSION_ID_FORMAT' not found in '<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNIMPLEMENTED\n\tdetails = "clone session"...
            1 AssertionError: '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: 'b' != ['b', 'd', 'e']
            1 AssertionError: 'bytearray' != 'bytes'
            1 AssertionError: 0 not greater than 0
            1 AssertionError: 0.6363787615254752 != 0.9531453492357947 : Column<'rand(1)'>
            1 AssertionError: 1 not greater than 1
            1 AssertionError: 1 not greater than 1 : Expected multiple batches for key 0
            1 AssertionError: 4 != 10
            1 AssertionError: 6 != 0 : []
            1 AssertionError: 6 != 4 : Group 1 should process only 2 batches (4 values)
            1 AssertionError: Exception not raised by <lambda>
            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([28 chars], 5, 15, 0, 1)), Row(ts=datetime.datetime(2023[63 chars] 3))] != [Row([28 chars], 5, 7, 0, 1)), Row(ts=datetime.datetime(2023,[60 chars] 3))]
            1 AssertionError: Lists differ: [Row([47 chars] 3, 6: 3}), Row(map={4: 3, 6: 3}), Row(map={4: 5, 6: 3})] != [Row([47 chars] 3, 6: 3, 5: 5}), Row(map={4: 3, 6: 3}), Row(map={4: 3, 6: 3})]
            1 AssertionError: Lists differ: [Row([719 chars]on='array'), Row(function='array_agg'), Row(fu[14444 chars]'~')] != [Row([719 chars]on='approx_top_k'), Row(function='approx_top_k[15483 chars]'~')]
            1 AssertionError: Lists differ: [Row(id=90, name='90'), Row(id=91, name='91'), Ro[176 chars]99')] != [Row(id=15, name='15'), Row(id=16, name='16'), Ro[176 chars]24')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Andy', ag[374 chars]one)] != [Row(age=19, name='Justin'), Row(age=19, name=[374 chars]el')]
            1 AssertionError: Lists differ: [Row(name='Andy', age=30), Row(name='Justin', [34 chars]one)] != [Row(_corrupt_record=' "age":19}\n', name=None[104 chars]el')]
            1 AssertionError: PythonException not raised by collect
            1 AssertionError: Row(name='Bob', age=10, height=66.0) != Row(name='Alice', age=10, height=10.0)
            1 AssertionError: Row(point='[1.0, 2.0]', pypoint='[3.0, 4.0]') != Row(point='(1.0, 2.0)', pypoint='[3.0, 4.0]')
            1 AssertionError: SparkConnectGrpcException not raised
            1 AssertionError: StorageLevel(False, True, True, False, 1) != StorageLevel(False, False, False, False, 1)
            1 AssertionError: Struc[15 chars]eld('a', NullType(), True), StructField('b', L[51 chars]ue)]) != Struc[15 chars]eld('b', LongType(), True), StructField('c', S[15 chars]ue)])
            1 AssertionError: Struc[23 chars]st', StructType([StructField('value', BinaryTy[194 chars]ue)]) != Struc[23 chars]st', VariantType(), True), StructField('last',[18 chars]ue)])
            1 AssertionError: Struc[32 chars]e(), False), StructField('b', DoubleType(), Fa[158 chars]ue)]) != Struc[32 chars]e(), True), StructField('b', DoubleType(), Tru[154 chars]ue)])
            1 AssertionError: Struc[40 chars]ue), StructField('val', ArrayType(DoubleType(), False), True)]) != Struc[40 chars]ue), StructField('val', PythonOnlyUDT(), True)])
            1 AssertionError: Struc[99 chars]uct(n, l), x_2)), x_1)))', ArrayType(StructTyp[93 chars]ue)]) != Struc[99 chars]uct(namedlambdavariable() AS n, namedlambdavar[181 chars]se)])
            1 AssertionError: True is not false : Default URL is not secure
            1 AssertionError: VariantType() != StructType([StructField('value', BinaryTy[55 chars]se)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AttributeError: 'NoneType' object has no attribute 'extract_graph'
            1 AttributeError: 'NoneType' object has no attribute 'toText'
(+1)        1 FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpsvyxxk1v'
            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 DEFAULT_PATH at 11:23 expected string, '+', '-', number, 'TRUE', or 'FALSE'
            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: found spark_catalog at 11:24 expected string, '+', '-', number, 'TRUE', or 'FALSE'
            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. (55f647b2-d062-49d9-8913-767437e88cd0 != e2cce2ca-6722-4d21-b692-4...
(+1)        1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (8b3fbaee-3841-4ec1-8723-1c3204e4e129 != a8b8a83a-2b58-4bc3-89d3-0...
            1 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 50.00000 % )
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] Invalid return type with grouped aggregate Pandas UDFs: StructType([StructField('value', BinaryType(), False), StructField('metadata', BinaryType(), False...
            1 PythonException:  AssertionError: assert 1 == 2
            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_DATA_CONVERSION_ERROR] Cannot convert UDTF output to Arrow. Data: [(ExamplePoint(10.0,20.0),)]. Schema: struct<point:array<double>>. Arrow Schema: st...
            1 PythonException:  PySparkRuntimeError: [UDTF_ARROW_DATA_CONVERSION_ERROR] Cannot convert UDTF output to Arrow. Data: [(ExamplePoint(10.0,20.0),)]. Schema: struct<udt:array<double>>. Arrow Schema: stru...
            1 PythonException:  PySparkValueError: Failed to convert the value of the column '_0' with type 'int64' to Arrow type 'decimal128(10, 2)'.
            1 PythonException:  PySparkValueError: Failed to convert the value of the column 'decimal_result' with type 'int64' to Arrow type 'decimal128(10, 2)'.
            1 PythonException:  TypeError: 'NoneType' object is not subscriptable
            1 PythonException:  TypeError: 'str' object cannot be interpreted as an integer
            1 PythonException:  TypeError: argument of type 'VariantVal' is not iterable
            1 PythonException:  TypeError: cannot unpack non-iterable NoneType object
            1 SparkRuntimeException: AttributeError: 'NoneType' object has no attribute '__next__'
            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 types must match schema types, expected List(Struct("value": non-null Binary, "metadata": non-null Binary, metadata: {"variant": "true"}), metadat...
            1 SparkRuntimeException: Json error: Not valid JSON: EOF while parsing a list at line 1 column 1
            1 SparkRuntimeException: Json error: Not valid JSON: expected value at line 1 column 2
            1 SparkRuntimeException: No field named t1."#0". Did you mean '#2'?.
            1 SparkRuntimeException: Parser error: Error while parsing value '0
            1 SparkRuntimeException: Parser error: Invalid timezone "+7:30": failed to parse timezone
            1 SparkRuntimeException: Python error: [TestDataSource::writer] PySparkNotImplementedError: [NOT_IMPLEMENTED] writer is not implemented.
            1 SparkRuntimeException: Python error: [my-json::writer] AttributeError: 'pyarrow.lib.Schema' object has no attribute 'fieldNames'
            1 SparkRuntimeException: Python error: [test::partitions] AssertionError: assert False
            1 SparkRuntimeException: Python error: [testdatasourcepyarrow::partitions] PySparkNotImplementedError: [NOT_IMPLEMENTED] reader is not implemented.
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: List { data_type: Int32, nullable: true }. Use PyArrow Schema for complex types.
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Struct { fields: Fields([Field { name: "a", data_type: Int32, nullable: true, metadata: [] }, Field { name: "b", data_type: Int32, ...
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Struct { fields: Fields([Field { name: "y", data_type: Int32, nullable: true, metadata: [] }]) }. Use PyArrow Schema for complex ty...
            1 SparkRuntimeException: Schema error: Unsupported type in DDL schema: Variant. Use PyArrow Schema for complex types.
            1 SparkRuntimeException: This feature is not implemented: Data type Decimal128(38, 18) not supported in row-based write path. Use DataSourceArrowWriter for full type support.
            1 SparkRuntimeException: This feature is not implemented: Unsupported CAST from Map("entries": non-null Struct("key": non-null Int32, "value": non-null Int32), unsorted) to Null
            1 SparkRuntimeException: TypeError: 'int' object is not an instance of 'str'
            1 SparkRuntimeException: TypeError: 'int' object is not subscriptable
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@5avxe0u9zluucx354gjc4jshm(#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@5avxe0u9zluucx354gjc4jshm(plus_one@a2rnnna4m50jh7wsgynlu3smv(#9)) PART...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: avg@796fikka6oemw2usqo4swwzhh(#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@796fikka6oemw2usqo4swwzhh(plus_one@bvh7q8m3n6xn2mxa6btny1xm3(#9)) PART...
            1 UnsupportedOperationException: Aggregate can not be used as a sliding accumulator because `retract_batch` is not implemented: weighted_mean@3f7d0f8hy178iek06hc31dh9f(#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@8ez52ju4dc0sw45u3uhw5nk0v(#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@b1vz47s88jp2v4g5ohllzlkbx(#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@ns9shhme70jhlfkaqet038iy(#9, #10) PARTITION BY [#8] ORDER BY...
            1 UnsupportedOperationException: LATERAL table function with criteria
            1 UnsupportedOperationException: Physical plan does not support logical expression OuterReferenceColumn(Field { name: "#1", data_type: Int32, nullable: true }, Column { relation: Some(Bare { table: "t1"...
            1 UnsupportedOperationException: Physical plan does not support logical expression ScalarSubquery(<subquery>)
            1 UnsupportedOperationException: Physical plan does not support undecorrelated Subquery
            1 UnsupportedOperationException: PlanNode::ClearCache
            1 UnsupportedOperationException: PlanNode::IsCached
            1 UnsupportedOperationException: PlanNode::RecoverPartitions
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Float64 is not implemented
            1 UnsupportedOperationException: Support for 'approx_distinct' for data type Struct("name": Utf8, metadata: {"SPARK::metadata::json": "{}"}, "value": Int64, metadata: {"SPARK::metadata::json": "{}"}) is...
            1 UnsupportedOperationException: Unsupported CAST from Struct("c": Int64, metadata: {"SPARK::metadata::json": "{}"}, "d": Float64, metadata: {"SPARK::metadata::json": "{}"}) to Struct("a": Int64, metada...
            1 UnsupportedOperationException: Unsupported CAST from Struct("value": non-null Binary, "metadata": non-null Binary) to Int32
            1 UnsupportedOperationException: apply in pandas with state
            1 UnsupportedOperationException: as of join
            1 UnsupportedOperationException: bucketing for writing listing table format
            1 UnsupportedOperationException: cast Time64(Nanosecond) to Spark data type
            1 UnsupportedOperationException: checkpoint StorageLevel; Sail checkpoints are object-store backed
            1 UnsupportedOperationException: deduplicate within watermark
            1 UnsupportedOperationException: function: collate
            1 UnsupportedOperationException: function: collation
            1 UnsupportedOperationException: function: current_path
            1 UnsupportedOperationException: function: input_file_block_length
            1 UnsupportedOperationException: function: input_file_block_start
            1 UnsupportedOperationException: function: java_method
            1 UnsupportedOperationException: function: map_filter
            1 UnsupportedOperationException: function: map_zip_with
            1 UnsupportedOperationException: function: reflect
            1 UnsupportedOperationException: function: schema_of_xml
            1 UnsupportedOperationException: function: session_window
            1 UnsupportedOperationException: function: time_bucket
            1 UnsupportedOperationException: function: time_from_micros
            1 UnsupportedOperationException: function: time_from_millis
            1 UnsupportedOperationException: function: time_from_seconds
            1 UnsupportedOperationException: function: time_to_micros
            1 UnsupportedOperationException: function: time_to_millis
            1 UnsupportedOperationException: function: time_to_seconds
            1 UnsupportedOperationException: function: transform_keys
            1 UnsupportedOperationException: function: transform_values
            1 UnsupportedOperationException: function: try_reflect
            1 UnsupportedOperationException: function: zip_with
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: lazy DataFrame checkpoint
            1 UnsupportedOperationException: unknown function: RANGE
            1 UnsupportedOperationException: unknown function: unwrap_udt
            1 ValueError: The column label 'id' is not unique.
            1 ValueError: The column label 'struct' is not unique.
(-1)        0 AnalysisException: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
(-1)        0 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(2363938054130404701), None)]
(-1)        0 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(690591260608078653), None)]
(-1)        0 AssertionError: "Database 'memory:4e04a88c-2b62-4f1e-8cf3-52ca35842b68' 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:ff602ee6-54a7-49b5-9dd6-9560594c62fe' 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/tmpywmnkhs_'
(-1)        0 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (3e06383f-cfd0-4dee-abbc-9cc08b1b0cad != 9525d3fb-c3b9-4b0b-8510-b...
(-1)        0 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (7af9953b-ee4a-4ef0-b6a4-249d52ac89dc != 0d8c6b13-e8b7-4b42-8301-f...
Passed Tests Diff 
--- before.txt	2026-08-24 16:48:26.391866682 +0000
+++ after.txt	2026-08-24 16:48:26.794865637 +0000
@@ -1893,0 +1894 @@
+pyspark/sql/tests/connect/test_parity_functions.py::FunctionsParityTests::test_make_timestamp
Failed Tests 
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.analyzeTable
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.createDatabase
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.createTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.dropDatabase
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.dropTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.dropView
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.functionExists
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getCreateTableString
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getFunction
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.getTableProperties
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.isCached
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.listPartitions
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.listTables
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.listViews
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.truncateTable
pyspark/sql/catalog.py::pyspark.sql.catalog.Catalog.uncacheTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame._joinAsOf
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.approxQuantile
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.asTable
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.cache
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.colRegex
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.dropDuplicatesWithinWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.explain
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.groupingSets
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.lateralJoin
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.localCheckpoint
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.nearestByJoin
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.transpose
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.withWatermark
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.zipWithIndex
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.approxQuantile
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrameStatFunctions.sampleBy
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.approx_count_distinct
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.approx_percentile
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.collation
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.corr
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.cosh
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.degrees
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.exp
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_json
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_xml
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.get_json_object
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.hash
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.histogram_numeric
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.inline_outer
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_block_length
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_block_start
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.input_file_name
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.is_valid_variant
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.java_method
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_merge_agg_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_merge_agg_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_merge_agg_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_agg_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_n_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_quantile_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_get_rank_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_merge_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_bigint
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_double
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.kll_sketch_to_string_float
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.log2
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.map_filter
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.map_zip_with
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.max_by
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.min_by
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.percentile_approx
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.reflect
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.reverse
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_asbinary
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_geogfromwkb
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_geomfromwkb
pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.st_setsrid
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pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_chaining_ops
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_event_time
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pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_map_state_large_ttl
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_non_exist_value_state
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pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_value_state_ttl_basic
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_composite_output_schema
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_schema_evolution_fails
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_basic
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7292
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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
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pyspark/sql/tests/connect/pa

(truncated)

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Ibis Test Report

Commit Information

Commit Revision Branch
After 743b06e refs/pull/2495/merge
Before 9544c92 refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
test-ibis After 31 1538 166 4535 216.40
Before 31 1538 166 4535 217.46

Test Details

Error Counts 
           31 Total
           22 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
            5 IllegalArgumentException: invalid argument: found TRUNCATE at 0:8 expected something else, ';', statement, or end of input
            2 AnalysisException: Internal error: Function 'approx_percentile_cont' failed to match any signature, errors: Error during planning: Function 'approx_percentile_cont' requires Float64, but received List...
            2 AssertionError
            2 AssertionError: Series are different
            2 IllegalArgumentException: invalid argument: found PARTITIONS at 5:15 expected 'DATABASES', 'SCHEMAS', 'NAMESPACES', 'CATALOGS', 'TABLES', 'TABLE', 'CREATE', 'COLUMNS', 'VIEWS', 'ALL', 'USER', 'SYSTEM'...
            2 assert ibis.Schema {... float64\n} == ibis.Schema {... float64\n} Full diff: ibis.Schema { carat float64 cut string color string clarity string depth float64 table float64 - price int32 ? ^^ + price i...
            1 AnalysisException: Catalog not found: local
            1 AssertionError: DataFrame.iloc[:, 0] (column name="id") are different
            1 AssertionError: DataFrame.iloc[:, 0] (column name="playerID") are different
            1 AssertionError: Series NA mask are different
(+1)        1 AssertionError: assert 'ibis_cached_znsubs4ohrcudjymz5mxqy5roa' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
            1 AssertionError: assert nan == 22
            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 AssertionError: assert 'ibis_cached_t54poovibrh3xdteb6hkwakhaq' 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_insert_table
ibis/backends/pyspark/tests/test_ddl.py::test_truncate_table
ibis/backends/tests/test_aggregation.py::test_approx_quantile[pyspark-True-False]
ibis/backends/tests/test_aggregation.py::test_approx_quantile[pyspark-True-True]
ibis/backends/tests/test_aggregation.py::test_date_quantile[pyspark]
ibis/backends/tests/test_aggregation.py::test_group_concat_over_window[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_dataframe[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_expr[pyspark]
ibis/backends/tests/test_client.py::test_insert_overwrite_from_list[pyspark]
ibis/backends/tests/test_client.py::test_rename_table[pyspark]
ibis/backends/tests/test_export.py::test_table_to_csv[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_contextmanager[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_release[pyspark]
ibis/backends/tests/test_expr_caching.py::test_persist_expression_repeated_cache[pyspark]
ibis/backends/tests/test_generic.py::test_isin_uncorrelated[pyspark]
ibis/backends/tests/test_generic.py::test_isin_uncorrelated_simple[pyspark]
ibis/backends/tests/test_io.py::test_read_csv[pyspark-default]
ibis/backends/tests/test_io.py::test_read_csv[pyspark-file_name]
ibis/backends/tests/test_join.py::test_join_with_pandas[pyspark]
ibis/backends/tests/test_json.py::test_json_getitem_array[pyspark]
ibis/backends/tests/test_struct.py::test_field_overwrite_always_prefers_unpacked[pyspark]
ibis/backends/tests/test_struct.py::test_isin_struct[pyspark]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-a]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-b]
ibis/backends/tests/test_struct.py::test_single_field[pyspark-c]
ibis/backends/tests/test_temporal.py::test_delta[pyspark-time]

@codecov
codecov Bot commented Aug 24, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.

@@            Coverage Diff             @@
##             main    #2495      +/-   ##
==========================================
- Coverage   78.43%   77.11%   -1.33%     
==========================================
  Files         966      966              
  Lines      194216   194216              
==========================================
- Hits       152326   149762    -2564     
- Misses      41890    44454    +2564
Flag Coverage Δ *Carryforward flag
catalog-integration-tests 36.23% <ø> (-0.01%) ⬇️
ibis-tests 0.04% <ø> (ø) Carriedforward from 9544c92
python-unit-tests 62.81% <ø> (-0.01%) ⬇️
rust-unit-tests 46.95% <ø> (-1.32%) ⬇️
spark-tests 0.04% <ø> (ø) Carriedforward from 9544c92

*This pull request uses carry forward flags. Click here to find out more.
see 30 files with indirect coverage changes

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@ErikBPF ErikBPF changed the title fix(jdbc): use TOP for MSSQL schema queries fix: use TOP for MSSQL schema queries Aug 24, 2026
@ErikBPF
ErikBPF force-pushed the fix/mssql-schema-inference branch from 4f63f38 to 574b5dd Compare August 24, 2026 17:36
@linhr
linhr requested a balanced review from Copilot August 25, 2026 01:48
@linhr linhr added the run catalog tests Trigger catalog tests on a pull request label Aug 25, 2026
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Pull request overview

Updates JDBC schema inference to use SQL Server-compatible syntax while preserving existing behavior elsewhere.

Changes:

  • Uses SELECT TOP 0 for MSSQL schema queries.
  • Adds tests for both query and dbtable options.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File Description
python/pysail/spark/datasource/jdbc.py Selects schema-query syntax based on the JDBC protocol.
python/pysail/tests/test_jdbc.py Verifies MSSQL schema queries use TOP 0.

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@linhr linhr mentioned this pull request Aug 25, 2026
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linhr
linhr reviewed Aug 25, 2026
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@ErikBPF
ErikBPF force-pushed the fix/mssql-schema-inference branch from 574b5dd to b57bf86 Compare August 25, 2026 10:38
linhr
linhr approved these changes Aug 26, 2026
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Nice! Thanks!

@linhr
linhr merged commit 97802a9 into lakehq:main Aug 26, 2026
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@erikbogado-nstech erikbogado-nstech mentioned this pull request Aug 26, 2026
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@ErikBPF ErikBPF mentioned this pull request Aug 26, 2026
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Read from SQL Server fails with syntax error

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