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feat: implement DataFrame.checkpoint and DataFrame.localCheckpoint#1882

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copilot/implement-dataframe-checkpoint-localcheckpoint
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feat: implement DataFrame.checkpoint and DataFrame.localCheckpoint#1882
Copilot wants to merge 22 commits into
mainfrom
copilot/implement-dataframe-checkpoint-localcheckpoint

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Copilot AI commented May 10, 2026

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  • Fetch and inspect the four unresolved Copilot review comments
  • Inspect checkpoint planning, cleanup, and tracker drop code
  • Run targeted baseline Rust check and advisory check for newly shared direct dependencies
  • Remove the dead named_plan_fields fallback and rely on resolved named-plan fields
  • Centralize async checkpoint storage cleanup in a shared helper used by Spark Connect and session shutdown
  • Remove blocking filesystem recursion from CatalogObjectTracker::drop
  • Format and run targeted Rust/Python validation
  • Run automated review/security validation
  • Summarize each review comment with action and correctness assessment

Copilot AI and others added 2 commits May 10, 2026 01:08

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Pull request overview

Implements Spark Connect parity for DataFrame.checkpoint and DataFrame.localCheckpoint by adding full server-side support for CheckpointCommand, tracking checkpointed plans as CachedRemoteRelations, and resolving those cached relations in subsequent query plans.

Changes:

  • Implement Spark Connect CheckpointCommand round-trip (optionally eager materialization) and RemoveCachedRemoteRelationCommand cleanup handling.
  • Add catalog tracking APIs for cached relations and integrate them into plan resolution (QueryNode::CachedRemoteRelation).
  • Add Python integration tests covering checkpoint/localCheckpoint behavior across eager/lazy variants and common downstream operations.

Reviewed changes

Copilot reviewed 8 out of 9 changed files in this pull request and generated 2 comments.

Show a summary per file
File Description
python/pysail/tests/spark/test_checkpoint.py Adds end-to-end tests for checkpoint/localCheckpoint (eager/lazy, transformations, joins, nulls, empty DF, chaining).
crates/sail-spark-connect/src/service/plan_executor.rs Implements checkpoint execution, optional eager materialization into MemTable, cached relation tracking, and cached relation removal command handling.
crates/sail-spark-connect/src/server.rs Wires RemoveCachedRemoteRelationCommand to the new handler.
crates/sail-spark-connect/Cargo.toml Adds sail-catalog dependency required for cached relation tracking.
crates/sail-plan/src/resolver/query/mod.rs Enables resolving QueryNode::CachedRemoteRelation via a dedicated resolver method.
crates/sail-plan/src/resolver/query/misc.rs Implements cached remote relation lookup and field-id rebinding for the current resolver state.
crates/sail-catalog/src/manager/tracker.rs Adds an in-memory cached_relations map with track/get/remove operations.
crates/sail-catalog/src/manager/mod.rs Re-exports cached relation tracking APIs from CatalogManager.
Cargo.lock Locks the new sail-catalog dependency for sail-spark-connect.

Comment thread crates/sail-spark-connect/src/service/plan_executor.rs Outdated
Comment thread crates/sail-plan/src/resolver/query/misc.rs Outdated
@codecov

codecov Bot commented May 10, 2026

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Codecov Report

❌ Patch coverage is 63.68421% with 138 lines in your changes missing coverage. Please review.

Files with missing lines Patch % Lines
...es/sail-spark-connect/src/service/plan_executor.rs 58.40% 99 Missing ⚠️
crates/sail-common-datafusion/src/checkpoint.rs 62.85% 13 Missing ⚠️
crates/sail-plan/src/resolver/query/misc.rs 48.00% 13 Missing ⚠️
.../sail-session/src/session_manager/actor/handler.rs 61.11% 7 Missing ⚠️
crates/sail-catalog/src/manager/tracker.rs 91.42% 3 Missing ⚠️
crates/sail-catalog/src/manager/mod.rs 90.47% 2 Missing ⚠️
crates/sail-catalog/src/error.rs 0.00% 1 Missing ⚠️
@@            Coverage Diff             @@
##             main    #1882      +/-   ##
==========================================
- Coverage   75.77%   74.91%   -0.87%     
==========================================
  Files         942      944       +2     
  Lines      135320   142074    +6754     
==========================================
+ Hits       102544   106428    +3884     
- Misses      32776    35646    +2870     
Flag Coverage Δ *Carryforward flag
catalog-integration-tests ?
ibis-tests 16.74% <0.29%> (-0.34%) ⬇️
python-unit-tests 58.13% <71.94%> (+0.51%) ⬆️
rust-slow-tests 44.18% <ø> (+<0.01%) ⬆️ Carriedforward from f771809
rust-unit-tests 38.26% <0.26%> (-1.10%) ⬇️
spark-tests 31.81% <59.40%> (-0.19%) ⬇️

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

Files with missing lines Coverage Δ
crates/sail-common/src/config/application.rs 69.56% <ø> (ø)
crates/sail-plan/src/resolver/query/mod.rs 84.15% <100.00%> (-13.53%) ⬇️
crates/sail-spark-connect/src/server.rs 65.71% <100.00%> (-17.41%) ⬇️
crates/sail-spark-connect/src/session.rs 63.49% <ø> (-11.73%) ⬇️
crates/sail-spark-connect/src/session_manager.rs 91.30% <100.00%> (-8.70%) ⬇️
crates/sail-catalog/src/error.rs 56.25% <0.00%> (-12.99%) ⬇️
crates/sail-catalog/src/manager/mod.rs 74.39% <90.47%> (-11.05%) ⬇️
crates/sail-catalog/src/manager/tracker.rs 81.11% <91.42%> (-18.89%) ⬇️
.../sail-session/src/session_manager/actor/handler.rs 43.41% <61.11%> (-7.73%) ⬇️
crates/sail-common-datafusion/src/checkpoint.rs 62.85% <62.85%> (ø)
... and 2 more

... and 50 files with indirect coverage changes

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github-actions Bot commented May 10, 2026

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Spark 3.5.7 Test Report

Commit Information

Commit Revision Branch
After fff19ec refs/pull/1882/merge
Before fff406d refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 11 13 1 6 5.52
Before 11 13 1 6 5.65
doctest-column After 33 2 5.54
Before 33 2 5.53
doctest-dataframe After 20 82 5 3 8.03
Before 22 82 3 3 8.61
doctest-functions After 49 352 8 7 16.74
Before 51 350 8 7 16.63
test-connect After 133 869 169 695 138.35
Before 133 869 169 695 138.15

Test Details

Error Counts
(-4)      213 Total
(-4)      105 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           23 DocTestFailure
           15 UnsupportedOperationException: lambda function
(-1)       14 PySparkAssertionError: [DIFFERENT_PANDAS_DATAFRAME] DataFrames are not almost equal:
           10 handle add artifacts
            6 UnsupportedOperationException: PlanNode::CacheTable
            6 UnsupportedOperationException: function: window
            5 AssertionError: AnalysisException not raised
            5 AssertionError: False is not true
            5 UnsupportedOperationException: function: input_file_name
            4 UnsupportedOperationException: unknown aggregate function: hll_sketch_agg
            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: No table format found for: orc
            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 AssertionError: Lists differ: [Row([22 chars](key=1, value='1'), Row(key=10, value='10'), R[2402 chars]99')] != [Row([22 chars](key=0, value='0'), Row(key=1, value='1'), Row[4882 chars]99')]
            2 IllegalArgumentException: expected value at line 1 column 1
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', 'OR', 'TEMP', 'TEMPORARY', 'EXTERNAL', 'TABLE', 'GLOBAL', or 'VIEW'
            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
(+1)        2 UnsupportedOperationException: function: json_tuple
            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: Error parsing timestamp from '2023-01-01' using format '%d-%m-%Y': input contains invalid characters
            1 AnalysisException: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from Float64, List(Float64), Int32 to the signature OneOf([Exact([Int8, Float64]), Exact(...
            1 AnalysisException: Failed to parse placeholder id: cannot parse integer from empty string
            1 AnalysisException: Found unsupported option type when parsing options: allowUnquotedFieldNames
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
            1 AnalysisException: UNION queries have different number of columns: left has 3 columns whereas right has 2 columns
(+1)        1 AssertionError: "Database 'memory:4cc21ff3-935c-46d9-afc4-2ae3fd112efd' dropped." does not match "No table format found for: jdbc"
(+1)        1 AssertionError: "Database 'memory:97902cc6-eb58-4d1a-9554-631a554c6e27' dropped." does not match "No table format found for: jdbc"
            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: 2 != 6
            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 AttributeError: 'DataFrame' object has no attribute '_ipython_key_completions_'
            1 AttributeError: 'DataFrame' object has no attribute '_joinAsOf'
            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)        1 SparkRuntimeException: Csv error: incorrect number of fields for line 1, expected 0 got more than 0
            1 SparkRuntimeException: Invalid argument error: 83.140 is too large to store in a Decimal128 of precision 4. Max is 9.999
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected Int64 but found List(Int64) at column index 1
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected LargeUtf8 but found Utf8 at column index 0
            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 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: 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: function: session_window
            1 UnsupportedOperationException: function: to_char
            1 UnsupportedOperationException: function: to_csv
            1 UnsupportedOperationException: function: to_varchar
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown aggregate function: count_min_sketch
            1 UnsupportedOperationException: unknown aggregate function: grouping_id
            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 received metadata size exceeds soft limit (9851 vs. 8192);  :status:42B content-type:60B grpc-status:45B grpc-message:4430B grpc-status-details-bin:3920B date:65B ValueError: Code in Status proto (Sta...
(-1)        0 AnalysisException: Failed to parse schema '{"fields":[{"metadata":{},"name":"a","nullable":true,"type":"integer"}],"type":"struct"}': error in SQL parser: found { at 7:8 expected identifier, or '>'
(-1)        0 AssertionError: "Database 'memory:6492b305-9323-46da-9de3-5321b688848a' dropped." does not match "No table format found for: jdbc"
(-1)        0 AssertionError: "Database 'memory:e925f9a5-1427-4273-9ebb-faa45aa1aa35' dropped." does not match "No table format found for: jdbc"
(-1)        0 AssertionError: '+-------------------+\n|from_json(a, a INT)|\n+-------[80 chars]-+\n' != '+------------+\n|from_json(a)|\n+------------+\n|     [38 chars]-+\n'
(-1)        0 PySparkNotImplementedError: [NOT_IMPLEMENTED] localCheckpoint() is not implemented.
(-1)        0 PySparkNotImplementedError: [NOT_IMPLEMENTED] sparkContext() is not implemented.
(-1)        0 SparkRuntimeException: Expected UTF-8 schema string
Passed Tests Diff
--- before.txt	2026-05-13 01:37:28.465869053 +0000
+++ after.txt	2026-05-13 01:37:28.663870356 +0000
@@ -261,0 +262,2 @@
+pyspark/sql/functions.py::pyspark.sql.functions.from_csv
+pyspark/sql/functions.py::pyspark.sql.functions.from_json
@@ -506 +507,0 @@
-pyspark/sql/tests/connect/test_connect_basic.py::SparkConnectBasicTests::test_csv
@@ -602,0 +604 @@
+pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_string_functions_one_arg
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._ipython_key_completions_
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame._joinAsOf
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_intersect
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.count_min_sketch
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.grouping_id
pyspark/sql/functions.py::pyspark.sql.functions.hll_sketch_agg
pyspark/sql/functions.py::pyspark.sql.functions.hll_sketch_estimate
pyspark/sql/functions.py::pyspark.sql.functions.hll_union
pyspark/sql/functions.py::pyspark.sql.functions.hll_union_agg
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.json_tuple
pyspark/sql/functions.py::pyspark.sql.functions.kurtosis
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.mode
pyspark/sql/functions.py::pyspark.sql.functions.monotonically_increasing_id
pyspark/sql/functions.py::pyspark.sql.functions.percentile
pyspark/sql/functions.py::pyspark.sql.functions.percentile_approx
pyspark/sql/functions.py::pyspark.sql.functions.randn
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.regr_avgy
pyspark/sql/functions.py::pyspark.sql.functions.regr_intercept
pyspark/sql/functions.py::pyspark.sql.functions.regr_r2
pyspark/sql/functions.py::pyspark.sql.functions.regr_slope
pyspark/sql/functions.py::pyspark.sql.functions.regr_sxy
pyspark/sql/functions.py::pyspark.sql.functions.regr_syy
pyspark/sql/functions.py::pyspark.sql.functions.schema_of_json
pyspark/sql/functions.py::pyspark.sql.functions.session_window
pyspark/sql/functions.py::pyspark.sql.functions.to_char
pyspark/sql/functions.py::pyspark.sql.functions.to_csv
pyspark/sql/functions.py::pyspark.sql.functions.to_varchar
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
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_csv
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_csv_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_json_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_date_time_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_map.py::MapInPandasParityTests::test_large_variable_types
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_insert_into
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 fff19ec refs/pull/1882/merge
Before fff406d refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
doctest-catalog After 11 13 1 6.00
Before 11 13 1 4.79
doctest-column After 36 6.50
Before 36 5.31
doctest-dataframe After 29 90 3 2 10.37
Before 30 89 3 2 8.31
doctest-functions After 114 371 10 5 25.68
Before 115 370 10 5 21.01
test-connect After 744 1765 291 487 247.65
Before 746 1763 291 484 201.48

Test Details

Error Counts
(-4)      898 Total
(-3)      327 Total Unique
-------- ---- ----------------------------------------------------------------------------------------------------------
           60 IllegalArgumentException: missing argument: Python UDF output type
           49 UnsupportedOperationException: unresolved table valued function
(+1)       43 DocTestFailure
           25 IllegalArgumentException: invalid argument: only GroupedMapArrow/GroupedMapPandas UDF is supported in GroupedMap
           22 UnsupportedOperationException: handle add artifacts
           20 AssertionError: 1 != 0 : dict_keys([])
           17 AssertionError: Exception not raised
           15 UnsupportedOperationException: lambda function
           14 UnsupportedOperationException: unknown function: kll_sketch_agg_bigint
           13 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 100.00000 % )
(-1)       12 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 }, Column { relation: None, name: "#1" })
            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: unknown function: theta_sketch_agg
            7 UnsupportedOperationException: user defined data type should only exist in a field
            6 AnalysisException: AssertionError: assert False is True
            6 AssertionError: 1 != 0
            6 IllegalArgumentException: data did not match any variant of untagged enum JsonDataType
            6 PythonException:  ValueError: 'toJson' is not in list PySparkAttributeError: [ATTRIBUTE_NOT_SUPPORTED] Attribute `toJson` is not supported.
            6 PythonException:  ValueError: invalid literal for int() with base 10: 'x'
            6 UnsupportedOperationException: PlanNode::CacheTable
            6 UnsupportedOperationException: direct shuffle partition ID expression
            6 UnsupportedOperationException: function: window
            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
            4 AnalysisException: Temporary View not found: t2
            4 AssertionError: 3 != 0 : dict_keys([])
            4 AssertionError: unexpectedly None
            4 SparkRuntimeException: Invalid argument error: column types must match schema types, expected Int32 but found Int64 at column index 0
            4 UnsupportedOperationException: approx quantile
            4 UnsupportedOperationException: freq items
            4 UnsupportedOperationException: transpose
            4 UnsupportedOperationException: unknown aggregate function: hll_sketch_agg
            4 clone session
            3 AnalysisException: Exception: The second argument must be a table argument
            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.
            3 AssertionError: 0 not greater than or equal to 1
            3 AssertionError: DayTimeIntervalType(0, 3) != DayTimeIntervalType(1, 3)
            3 AssertionError: Lists differ: [Row(<lambda>(struct_of_v)="Row(metadata=b'\\x[787 chars]')")] != [Row(udf='0'), Row(udf='1'), Row(udf='2'), Row[89 chars]'9')]
            3 AssertionError: Lists differ: [Row(udf="Row(metadata=b'\\x01\\x00\\x00', value=b[603 chars]')")] != [Row(udf='0'), Row(udf='1'), Row(udf='2'), Row(udf[85 chars]'9')]
            3 AssertionError: Lists differ: [Row(udf="Row(metadata=b'\\x01\\x01\\x00\\x01a', v[875 chars]')")] != [Row(udf='{"a":"a"}'), Row(udf='{"a":"b"}'), Row(u[165 chars]"}')]
            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 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: 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
(+1)        2 AnalysisException: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from Float64, List(Float64), Int32 to the signature OneOf([Exact([Int8, Float64]), Exact(...
            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: not supported: function exists
            2 AnalysisException: not supported: list functions
            2 AssertionError: "ARROW_TYPE_MISMATCH.*SQL_MAP_ARROW_ITER_UDF" does not match "Invalid argument error: column types must match schema types, expected Int32 but found Int64 at column index 0"
            2 AssertionError: AnalysisException not raised by <lambda>
            2 AssertionError: Lists differ: [Row(<lambda>(struct_of_v)="Row(metadata=bytea[1007 chars]))")] != [Row(udf='0'), Row(udf='1'), Row(udf='2'), Row[89 chars]'9')]
            2 AssertionError: Lists differ: [Row(udf="Row(metadata=bytearray(b'\\x01\\x00\\x00[823 chars]))")] != [Row(udf='0'), Row(udf='1'), Row(udf='2'), Row(udf[85 chars]'9')]
            2 AssertionError: Lists differ: [Row(udf="Row(metadata=bytearray(b'\\x01\\x01\\x00[1095 chars]))")] != [Row(udf='{"a":"a"}'), Row(udf='{"a":"b"}'), Row(u[165 chars]"}')]
            2 AssertionError: Lists differ: [Row(udf="{'metadata': b'\\x01\\x00\\x00', 'value'[633 chars]'}")] != [Row(udf='0'), Row(udf='1'), Row(udf='2'), Row(udf[85 chars]'9')]
            2 AssertionError: StructType([StructField('metadata', Binar[55 chars]se)]) != VariantType()
            2 AssertionError: {'foo': 'bar'} != {}
            2 IllegalArgumentException: invalid argument: found FUNCTION at 7:15 expected 'DATABASE', 'SCHEMA', '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 PySparkAssertionError: [DIFFERENT_ROWS] Results do not match: ( 99.50000 % )
            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 PythonException:  PySparkValueError: Rows cannot be of type VariantVal
            2 PythonException:  TypeError: int() argument must be a string, a bytes-like object or a real number, not 'dict'
            2 SparkRuntimeException: Error during planning: Correlated scalar subquery must be aggregated to return at most one row
            2 SparkRuntimeException: Invalid argument error: column types must match schema types, expected Int32 but found Utf8 at column index 0
            2 SparkRuntimeException: Invalid argument error: column types must match schema types, expected LargeUtf8 but found Utf8 at column index 0
            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: {"udt...
            2 UnsupportedOperationException: Physical plan does not support logical expression ScalarSubquery(<subquery>)
            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: Unsupported CAST from Struct("metadata": non-null Binary, "value": non-null Binary) to Int32
            2 UnsupportedOperationException: cast Time64(Nanosecond) to Spark data type
            2 UnsupportedOperationException: create resource profile command
            2 UnsupportedOperationException: function: from_xml
(+1)        2 UnsupportedOperationException: function: json_tuple
            2 UnsupportedOperationException: function: st_setsrid
            2 UnsupportedOperationException: function: st_srid
            2 UnsupportedOperationException: function: try_make_interval
            2 UnsupportedOperationException: function: try_parse_json
            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 struct with 2 fields to 2 fields because there is no field name overlap
            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: Error parsing timestamp from '082017' using format '%m%Y': input is not enough for unique date and time
            1 AnalysisException: Error parsing timestamp from '2014-31-12' using format '%Y-%d-%pa': input contains invalid characters
            1 AnalysisException: Error parsing timestamp from '2023-01-01' using format '%d-%m-%Y': input contains invalid characters
            1 AnalysisException: Failed to parse date '02-29' with format '%m-%d': input is not enough for unique date and time
            1 AnalysisException: Found unsupported option type when parsing options: allowUnquotedFieldNames
            1 AnalysisException: Invalid partition id 1 in write result (expected < 1)
(+1)        1 AnalysisException: Invalid partition id 2 in write result (expected < 1)
            1 AnalysisException: No table format found for: xml
            1 AnalysisException: Spark `try_variant_get` function: path must be a constant string
            1 AnalysisException: Table already exists: tbl1
            1 AnalysisException: Temporary View not found: tab2
            1 AnalysisException: UNION queries have different number of columns: left has 2 columns whereas right has 3 columns
            1 AnalysisException: Write failed for partition 1: External error: Python error: [TestJsonWriter::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("b")])
            1 AnalysisException: ambiguous attribute: ObjectName([Identifier("i")])
            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(3686493294188348718), None)]
(+1)        1 AnalysisException: one value expected: [Column(Column { relation: None, name: "#1" }), Literal(Int64(5300793103474431927), None)]
            1 AnalysisException: to_time format argument 2 must be a scalar, not an array
            1 AnalysisException: too big
            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 "Invalid argument error: column types must match schema types, expected Struct("b": Int32) but found Struct("a": Int64, "b"...
            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:2c20ad66-aa2b-4570-9721-76977a17118c' dropped." does not match "No table format found for: jdbc"
(+1)        1 AssertionError: "Database 'memory:4cab5801-13bb-4679-ac39-4f2445ad3b4e' dropped." does not match "No table format found for: jdbc"
            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: '+---[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)        1 AssertionError: 'ExistingRDD' not found in '== Physical Plan ==\nProjectionExec: expr=[#0@0 as id]\n  DataSourceExec: file_groups={1 group: [[tmp/sail-checkpoints/59d11dc2-73f3-495a-b294-1fd98fd2210e/...
(+1)        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: 2 != 6
            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: Lists differ: [Row(udf=217.5)] != [Row(udf=1)]
            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('metadata', Binar[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('metadata', Binar[55 chars]se)])
            1 AssertionError: YearMonthIntervalType(0, 1) != YearMonthIntervalType(0, 0)
            1 AssertionError: [1.0, 2.0] != ExamplePoint(1.0,2.0)
            1 AttributeError: 'NoneType' object has no attribute 'extract_graph'
            1 AttributeError: 'NoneType' object has no attribute 'toText'
            1 FileNotFoundError: [Errno 2] No such file or directory: '/home/runner/work/sail/sail/.venvs/test-spark.spark-4.1.1/lib/python3.11/site-packages/pyspark/data/artifact-tests/junitLargeJar.jar'
(+1)        1 FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp2dlqhl9e'
            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. (a44f366e-1900-4f8c-885d-5c0824e0a15e != e7c235f4-63c8-4d49-a925-0...
(+1)        1 PySparkAssertionError: Received incorrect server side session identifier for request. Please create a new Spark Session to reconnect. (de0325b2-b624-43d0-a035-e9fd448ad560 != 4ee34ac5-59a8-4a98-991b-5...
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] Invalid return type with grouped aggregate Pandas UDFs: StructType([StructField('metadata', BinaryType(), False), StructField('value', BinaryType(), False...
            1 PySparkNotImplementedError: [NOT_IMPLEMENTED] toJSON() is not implemented.
            1 PythonException: 
            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: 'Series' object has no attribute 'columns'
            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: [SCHEMA_MISMATCH_FOR_PANDAS_UDF] Result vector from pandas_udf was not the required length: expected 10, got 2.
            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:  PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'v' with type 'object' to the specified return type of the column: 'struct<metadata: b...
            1 PythonException:  PySparkRuntimeError: [UDTF_ARROW_TYPE_CAST_ERROR] Cannot convert the output value of the column 'v' with type 'object' to the specified return type of the column: 'struct<v1: struct<...
            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:  TypeError: net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for pyspark.sql.types._create_row).
            1 PythonException:  ValueError: invalid literal for int() with base 10: 'z'
            1 Received RST_STREAM with error code 8
            1 SparkRuntimeException: Assertion failed: compatible: Failed due to a difference in schemas: original schema: DFSchema { inner: Schema { fields: [Field { name: "#0", data_type: Int64, nullable: true },...
            1 SparkRuntimeException: Compute error: Cannot perform a binary operation on arrays of different length
(+1)        1 SparkRuntimeException: Csv error: incorrect number of fields for line 1, expected 0 got more than 0
            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 types must match schema types, expected Int64 but found List(Int64) at column index 1
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected List(Int32) but found List(Int32, field: 'element') at column index 0
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected List(Struct("metadata": non-null Binary, "value": non-null Binary), metadata: {"ARROW:extension:name": "ar...
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected Struct("v1": Struct("metadata": non-null Binary, "value": non-null Binary), metadata: {"ARROW:extension:na...
            1 SparkRuntimeException: Invalid argument error: column types must match schema types, expected Utf8 but found Float64 at column index 1
            1 SparkRuntimeException: Invalid argument error: must either specify a row count or at least one column
            1 SparkRuntimeException: Invalid argument error: number of columns(3) must match number of fields(2) in schema
            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: [TestArrowStreamWriter::writer] PySparkNotImplementedError: [NOT_IMPLEMENTED] writer is not implemented.
            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 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: {"udt...
            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: 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, "value": Int64) is not implemented
            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_char
            1 UnsupportedOperationException: function: to_csv
            1 UnsupportedOperationException: function: to_varchar
            1 UnsupportedOperationException: function: to_xml
            1 UnsupportedOperationException: function: try_reflect
            1 UnsupportedOperationException: handle analyze semantic hash
            1 UnsupportedOperationException: unknown aggregate function: count_min_sketch
            1 UnsupportedOperationException: unknown aggregate function: grouping_id
            1 UnsupportedOperationException: unknown function: RANGE
            1 UnsupportedOperationException: unknown function: timestampadd
            1 UnsupportedOperationException: unknown function: timestampdiff
            1 UnsupportedOperationException: unknown function: unwrap_udt
            1 ValueError: Code in Status proto 

(truncated)

Passed Tests Diff
--- before.txt	2026-05-13 01:39:37.409318453 +0000
+++ after.txt	2026-05-13 01:39:37.722335464 +0000
@@ -91,0 +92 @@
+pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.localCheckpoint
@@ -274,0 +276 @@
+pyspark/sql/functions/builtin.py::pyspark.sql.functions.builtin.from_csv
@@ -1400,0 +1403 @@
+pyspark/sql/tests/connect/test_connect_function.py::SparkConnectFunctionTests::test_string_functions_one_arg
@@ -1459 +1461,0 @@
-pyspark/sql/tests/connect/test_connect_readwriter.py::SparkConnectReadWriterTests::test_csv
@@ -1584,0 +1587 @@
+pyspark/sql/tests/connect/test_parity_dataframe.py::DataFrameParityTests::test_local_checkpoint_dataframe_with_storage_level
@@ -1948,0 +1952 @@
+pyspark/sql/tests/connect/test_parity_udtf.py::ArrowUDTFParityTests::test_struct_output_type_casting_row
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.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.freqItems
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.groupingSets
pyspark/sql/dataframe.py::pyspark.sql.dataframe.DataFrame.hint
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pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_scalar.py::ScalarArrowPythonUDFParityTests::test_scalar_arrow_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_scalar.py::ScalarArrowPythonUDFParityTests::test_scalar_iter_arrow_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_bounded_mixed
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_bounded_simple
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_complex_window_collect_as_map
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_kwargs
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_named_arguments
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_named_arguments_negative
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_shrinking_window
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_sliding_window
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_time_min
pyspark/sql/tests/connect/arrow/test_parity_arrow_udf_window.py::WindowArrowPythonUDFParityTests::test_window_arrow_udf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_error_mismatched_schema
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_lateral_join_disallowed
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_lateral_join_with_table_argument_disallowed
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_partition_by_all_columns
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_partition_by_single_partition_multiple_input_partitions
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_partition_column_removal
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_table_argument_with_regular_udtf_lateral_join_allowed
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_table_partition_by_multiple_columns
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_table_partition_by_single_column
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_type_coercion_long_to_int
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_type_coercion_string_to_int
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_type_coercion_string_to_int_safe
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_type_corecion_int64_to_int32_safe
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_empty_column_result
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_logging
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_named_arguments
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_partition_by
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_partition_by_and_order_by
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_partition_by_and_terminate
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_partition_by_empty_input_batch
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_partition_by_null_values
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_partition_by_skip_rest_of_input
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_scalar_first_table_second
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_table_and_struct_arguments
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_table_argument_and_scalar
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_table_argument_basic
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_table_argument_in_middle
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_arrow_udtf_with_table_argument_then_lateral_join_allowed
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_return_type_coercion_multiple_columns
pyspark/sql/tests/connect/arrow/test_parity_arrow_udtf.py::ArrowUDTFParityTests::test_return_type_coercion_success
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_artifacts_cannot_be_overwritten
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::ArtifactTests::test_single_chunked_and_chunked_artifact
pyspark/sql/tests/connect/client/test_artifact_localcluster.py::LocalClusterArtifactTests::test_add_archive
pyspark/sql/tests/connect/client/test_artifact_localcluster.py::LocalClusterArtifactTests::test_add_file
pyspark/sql/tests/connect/client/test_artifact_localcluster.py::LocalClusterArtifactTests::test_add_pyfile
pyspark/sql/tests/connect/client/test_artifact_localcluster.py::LocalClusterArtifactTests::test_add_zipped_package
pyspark/sql/tests/connect/client/test_artifact_localcluster.py::LocalClusterArtifactTests::test_artifacts_cannot_be_overwritten
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_basic
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_basic_fewer_data
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_basic_more_data
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_basic_no_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_basic_no_state_no_data
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_basic_with_null
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_int_to_decimal_coercion
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_grouped_map_with_state.py::GroupedApplyInPandasWithStateTests::test_apply_in_pandas_with_state_python_worker_random_failure
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_composite_output_schema
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_schema_evolution_fails
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_basic
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_batch_query
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_batch_query_initial_state
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
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_in_pandas_composite_type
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_int_to_decimal_coercion
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_large_values
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_non_contiguous_grouping_cols
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_non_contiguous_grouping_cols_with_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_proc_timer
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_query_restarts
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_with_bytes_limit
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_with_timers_single_partition
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state.py::TransformWithStateInPandasParityTests::test_transform_with_state_with_wmark_and_non_event_time
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_list_state_metadata
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_map_state_metadata
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_map_state_metadata_with_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_basic
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_init_state_with_extra_transformation
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_init_state_with_timers
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_list_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_list_state_large_list
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_list_state_large_ttl
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_map_state
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
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_restart_with_multiple_rows_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_state_with_timers_single_partition
pyspark/sql/tests/connect/pandas/streaming/test_parity_pandas_transform_with_state_state_variable.py::TransformWithStateInPandasStateVariableParityTests::test_transform_with_value_state_metadata
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
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_batch_query
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_batch_query_initial_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_chaining_ops
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_event_time
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_in_pandas_composite_type
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_large_values
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_non_contiguous_grouping_cols
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_non_contiguous_grouping_cols_with_init_state
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_proc_timer
pyspark/sql/tests/connect/pandas/streaming/test_parity_transform_with_state.py::TransformWithStateInPySparkParityTests::test_transform_with_state_query_restarts
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
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Ibis Test Report

Commit Information

Commit Revision Branch
After fff19ec refs/pull/1882/merge
Before fff406d refs/heads/main

Test Summary

Suite Commit Failed Passed Skipped Warnings Time (s)
test-ibis After 79 1507 166 4522 228.71
Before 79 1507 166 4522 247.88

Test Details

Error Counts
           80 Total
           31 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: Failed to coerce arguments to satisfy a call to 'approx_percentile_cont' function: coercion from Float64, List(Decimal128(2, 2)) to the signature OneOf([Exact([Int8, Float64]), Exac...
            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', '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_flvjye3ecvbuvnjg5wwc3zeslu
            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 are different
            1 AssertionError: DataFrame.iloc[:, 0] (column name="id") are different
            1 AssertionError: DataFrame.iloc[:, 0] (column name="playerID") are different
            1 AssertionError: DataFrame.iloc[:, 0] (column name="year_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_q5mcw2nkm5fpninprju5bybybm' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
            1 Failed: DID NOT RAISE <class 'pyspark.errors.exceptions.base.AnalysisException'>
            1 IllegalArgumentException: invalid argument: input schema for INSERT has 1 fields, but table schema has 2 fields
            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, "y": Int6...
            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_x456zwvwgzc7rkrs74c3pmsf3a
(-1)        0 AssertionError: assert 'ibis_cached_o73e6nyy35dz3pva53556bjl3q' not in ['array_types', 'astronauts', 'awards_players', 'basic_table', 'batting', 'complicated', ...]
Passed Tests Diff
--- before.txt	2026-05-13 01:38:42.928560015 +0000
+++ after.txt	2026-05-13 01:38:43.172562599 +0000
@@ -726 +725,0 @@
-ibis/backends/tests/test_generic.py::test_uncorrelated_subquery[pyspark]
@@ -1482 +1481 @@
-ibis/backends/tests/test_udf.py::test_vectorized_udf[pyspark-add_one_pyarrow]
+ibis/backends/tests/test_udf.py::test_vectorized_udf[pyspark-add_one_pandas]
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_create_table_overwrite_temp[pyspark-no temp, overwrite]
ibis/backends/tests/test_client.py::test_insert_into_table_missing_columns[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_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]
ibis/backends/tests/test_udf.py::test_vectorized_udf[pyspark-add_one_pyarrow]
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]

Agent-Logs-Url: https://github.com/lakehq/sail/sessions/8133bd14-cb94-4c56-ac57-5629cfed18d9

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>

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Pull request overview

Copilot reviewed 8 out of 9 changed files in this pull request and generated 1 comment.

Comment thread crates/sail-spark-connect/src/service/plan_executor.rs Outdated
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

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Pull request overview

Copilot reviewed 8 out of 9 changed files in this pull request and generated 1 comment.

Comment thread crates/sail-catalog/src/manager/tracker.rs Outdated
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Copilot AI and others added 2 commits May 10, 2026 04:57
Agent-Logs-Url: https://github.com/lakehq/sail/sessions/aa2d0845-e4a5-4df6-96f7-42b8415124c8

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>
Agent-Logs-Url: https://github.com/lakehq/sail/sessions/aa2d0845-e4a5-4df6-96f7-42b8415124c8

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>
Agent-Logs-Url: https://github.com/lakehq/sail/sessions/31be1e08-c59a-4597-86fd-f617c6186791

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>
@shehabgamin shehabgamin requested a review from Copilot May 12, 2026 23:49
Comment thread scripts/spark-tests/plugins/spark.py Outdated
Comment thread scripts/spark-tests/plugins/spark.py Outdated
Co-authored-by: Shehab Amin <11789402+shehabgamin@users.noreply.github.com>

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Pull request overview

Copilot reviewed 15 out of 16 changed files in this pull request and generated 3 comments.

Comment thread crates/sail-spark-connect/src/service/plan_executor.rs
Comment thread crates/sail-catalog/src/manager/tracker.rs Outdated
Comment thread crates/sail-spark-connect/src/service/plan_executor.rs Outdated
Agent-Logs-Url: https://github.com/lakehq/sail/sessions/52f051c1-f32c-4857-a6d0-3bcf42c09452

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>

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Pull request overview

Copilot reviewed 17 out of 18 changed files in this pull request and generated 3 comments.

Comment thread python/pysail/tests/spark/test_checkpoint.py Outdated
Comment thread crates/sail-spark-connect/src/service/plan_executor.rs Outdated
Comment thread crates/sail-session/src/session_manager/actor/handler.rs Outdated
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Agent-Logs-Url: https://github.com/lakehq/sail/sessions/d72a8b0a-1114-4626-abaa-4566793a6975

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>

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Pull request overview

Copilot reviewed 17 out of 18 changed files in this pull request and generated 4 comments.

Comment thread crates/sail-spark-connect/src/service/plan_executor.rs Outdated
Comment on lines +819 to +856
async fn cleanup_checkpoint_path(ctx: &SessionContext, checkpoint_uri: &str) {
let Ok(checkpoint_url) = url::Url::parse(checkpoint_uri) else {
warn!("failed to parse checkpoint location for cleanup: {checkpoint_uri}");
return;
};
let Ok((object_store, checkpoint_path)) = checkpoint_store_and_path(ctx, &checkpoint_url)
else {
warn!("failed to resolve checkpoint object store for cleanup: {checkpoint_uri}");
return;
};
let locations = object_store
.list(Some(&checkpoint_path))
.map_ok(|meta| meta.location)
.boxed();
if let Err(e) = object_store
.delete_stream(locations)
.try_collect::<Vec<_>>()
.await
{
warn!("failed to remove checkpoint location {checkpoint_uri}: {e}");
}
cleanup_file_checkpoint_directory(&checkpoint_url, checkpoint_uri).await;
}

async fn cleanup_file_checkpoint_directory(checkpoint_url: &url::Url, checkpoint_uri: &str) {
if checkpoint_url.scheme() != "file" {
return;
}
let Ok(path) = checkpoint_url.to_file_path() else {
warn!("failed to convert checkpoint file URL to path for cleanup: {checkpoint_uri}");
return;
};
if let Err(e) = tokio::fs::remove_dir_all(&path).await {
if e.kind() != std::io::ErrorKind::NotFound {
warn!("failed to remove checkpoint directory {checkpoint_uri}: {e}");
}
}
}
Comment thread crates/sail-session/src/session_manager/actor/handler.rs Outdated
Comment thread crates/sail-catalog/src/manager/tracker.rs Outdated
Agent-Logs-Url: https://github.com/lakehq/sail/sessions/ed3c4316-4757-49ea-bbf1-6831281f90b9

Co-authored-by: shehabgamin <11789402+shehabgamin@users.noreply.github.com>
@shehabgamin shehabgamin requested a review from Copilot May 13, 2026 03:09

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Pull request overview

Copilot reviewed 20 out of 21 changed files in this pull request and generated 1 comment.

// Stream batches directly to a single Parquet file inside the checkpoint
// directory without collecting them all into memory first.
let write_result: SparkResult<()> = async {
let parquet_path = ObjectStorePath::from(format!("{checkpoint_path}/part-0.parquet"));
@shehabgamin

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Superseded by #1969

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