Spark Release 3.5.2

Spark 3.5.2 is the second maintenance release containing security and correctness fixes. This release is based on the branch-3.5 maintenance branch of Spark. We strongly recommend all 3.5 users to upgrade to this stable release.

Notable changes

  • [SPARK-45988]: Fix pyspark.pandas.tests.computation.test_apply_func in Python 3.11
  • [SPARK-45989]: Fix pyspark.pandas.tests.connect.computation.test_parity_apply_func in Python 3.11
  • [SPARK-46411]: Change to use bcprov/bcpkix-jdk18on for test
  • [SPARK-47368]: Remove inferTimestampNTZ config check in ParquetRowConverter
  • [SPARK-47370]: Add migration doc: TimestampNTZ type inference on Parquet files
  • [SPARK-47435]: SPARK-45561 causes mysql unsigned tinyint overflow
  • [SPARK-47440]: SQLServer does not support LIKE operator in binary comparison
  • [SPARK-47473]: Correctness issue of converting postgres INFINITIES timestamps
  • [SPARK-47494]: Add migration doc for the behavior change of Parquet timestamp inference since Spark 3.3
  • [SPARK-47537]: Use MySQL Connector/J for MySQL DB instead of MariaDB Connector/J
  • [SPARK-47666]: Fix NPE when reading mysql bit array as LongType
  • [SPARK-47770]: Fix GenerateMIMAIgnore.isPackagePrivateModule to return false instead of failing
  • [SPARK-47774]: Remove redundant rules from MimaExcludes
  • [SPARK-47847]: Deprecate spark.network.remoteReadNioBufferConversion
  • [SPARK-48016]: Fix a bug in try_divide function when with decimals
  • [SPARK-48068]: mypy should have --python-executable parameter
  • [SPARK-48083]: session.copyFromLocalToFs failure with 3.5 client <> 4.0 server
  • [SPARK-48084]: pyspark.ml.connect.evaluation not working in 3.5 client <> 4.0 server
  • [SPARK-48086]: Different Arrow versions in client and server
  • [SPARK-48087]: Python UDTF incompatibility in 3.5 client <> 4.0 server
  • [SPARK-48088]: Skip tests being failed in client 3.5 <> server 4.0
  • [SPARK-48089]: Streaming query listener not working in 3.5 client <> 4.0 server
  • [SPARK-48090]: Streaming exception catch failure in 3.5 client <> 4.0 server
  • [SPARK-48109]: Enable k8s-integration-tests only for kubernetes module change
  • [SPARK-48116]: Run pyspark-pandas* only in PR builder and Daily Python CIs
  • [SPARK-48132]: Run k8s-integration-tests only in PR builder and Daily CIs
  • [SPARK-48133]: Run sparkr only in PR builders and Daily CIs
  • [SPARK-48138]: Disable a flaky SparkSessionE2ESuite.interrupt tag test
  • [SPARK-48167]: Skip known behaviour change by SPARK-46122
  • [SPARK-48178]: Run build/scala-213/java-11-17 jobs of branch-3.5 only if needed
  • [SPARK-48192]: Enable TPC-DS and docker tests in forked repository
  • [SPARK-48930]: Redact awsAccessKeyId by including accesskey pattern
  • [SPARK-49054]: Column default value should support current_* functions
  • [SPARK-47305]: PruneFilters incorrectly tags isStreaming flag when replacing child of Filter with LocalRelation
  • [SPARK-47307]: Spark 3.3 produces invalid base64
  • [SPARK-47318]: AuthEngine key exchange needs additional KDF round
  • [SPARK-47385]: Tuple encoder produces wrong results with Option inputs
  • [SPARK-47398]: AQE doesn’t allow for extension of InMemoryTableScanExec
  • [SPARK-47434]: Streaming Statistics link redirect causing 302 error
  • [SPARK-47455]: Fix Resource Handling of scalaStyleOnCompileConfig in SparkBuild.scala
  • [SPARK-47463]: An error occurred while pushing down the filter of if expression for iceberg datasource.
  • [SPARK-47503]: Spark history sever fails to display query for cached JDBC relation named in quotes
  • [SPARK-47507]: Upgrade ORC to 1.9.3
  • [SPARK-47521]: Use Utils.tryWithResource during reading shuffle data from external storage
  • [SPARK-47561]: Fix analyzer rule order issues about Alias
  • [SPARK-47633]: Cache miss for queries using JOIN LATERAL with join condition
  • [SPARK-47636]: Use Java 17 instead of 17-jre image in K8s Dockerfile
  • [SPARK-47646]: try_to_number fails with NPE for malformed input
  • [SPARK-47676]: Clean up the removed VersionsSuite references
  • [SPARK-47762]: Add pyspark.sql.connect.protobuf into setup.py
  • [SPARK-47824]: Nondeterminism in pyspark.pandas.series.asof
  • [SPARK-47828]: DataFrameWriterV2.overwrite fails with invalid plan
  • [SPARK-47840]: Remove foldable propagation across Streaming Aggregate/Join nodes
  • [SPARK-47895]: group by all should be idempotent
  • [SPARK-47904]: Preserve case in Avro schema when using enableStableIdentifiersForUnionType
  • [SPARK-47910]: Memory leak when interrupting shuffle write using zstd compression
  • [SPARK-47921]: Fix ExecuteJobTag creation in ExecuteHolder
  • [SPARK-47927]: Nullability after join not respected in UDF
  • [SPARK-48019]: ColumnVectors with dictionaries and nulls are not read/copied correctly
  • [SPARK-48037]: SortShuffleWriter lacks shuffle write related metrics resulting in potentially inaccurate data
  • [SPARK-48105]: Fix the data corruption issue when state store unload and snapshotting happens concurrently for HDFS state store
  • [SPARK-48128]: BitwiseCount / bit_count generated code for boolean inputs fails to compile
  • [SPARK-48172]: Fix escaping issues in JDBCDialects
  • [SPARK-48173]: CheckAnalsis should see the entire query plan
  • [SPARK-48179]: Pin nbsphinx to 0.9.3
  • [SPARK-48184]: Always set the seed of dataframe.sample in Client side
  • [SPARK-48197]: avoid assert error for invalid lambda function
  • [SPARK-48237]: After executing test-dependencies.sh, the dir dev/pr-deps should be deleted
  • [SPARK-48241]: CSV parsing failure with char/varchar type columns
  • [SPARK-48248]: Fix nested array to respect legacy conf of inferArrayTypeFromFirstElement
  • [SPARK-48265]: Infer window group limit batch should do constant folding
  • [SPARK-48273]: Late rewrite of PlanWithUnresolvedIdentifier
  • [SPARK-48286]: Analyze 'exists' default expression instead of 'current' default expression in structField to v2 column conversion
  • [SPARK-48294]: Make nestedTypeMissingElementTypeError case insensitive
  • [SPARK-48297]: Char/Varchar breaks in TRANSFORM clause
  • [SPARK-48237]: After executing test-dependencies.sh, the dir dev/pr-deps should be deleted
  • [SPARK-48241]: CSV parsing failure with char/varchar type columns
  • [SPARK-48248]: Fix nested array to respect legacy conf of inferArrayTypeFromFirstElement
  • [SPARK-48265]: Infer window group limit batch should do constant folding
  • [SPARK-48273]: Late rewrite of PlanWithUnresolvedIdentifier
  • [SPARK-48286]: Analyze 'exists' default expression instead of 'current' default expression in structField to v2 column conversion
  • [SPARK-48294]: Make nestedTypeMissingElementTypeError case insensitive
  • [SPARK-48297]: Char/Varchar breaks in TRANSFORM clause
  • [SPARK-48308]: Unify getting data schema without partition columns in FileSourceStrategy
  • [SPARK-48428]: IllegalStateException due to nested column aliasing
  • [SPARK-48481]: OptimizeOneRowPlan should not be effective for streaming DataFrame
  • [SPARK-48484]: V2Write use the same TaskAttemptId for different task attempts
  • [SPARK-48498]: Always do char padding in predicates
  • [SPARK-48608]: Spark 3.5: fails to build with value defaultValueNotConstantError is not a member of object org.apache.spark.sql.errors.QueryCompilationErrors
  • [SPARK-48642]: False reported SparkOutOfMemoryError caused by killing task on spilling
  • [SPARK-48666]: A filter should not be pushed down if it contains Unevaluable expression
  • [SPARK-48709]: Varchar resolution mismatch for DataSourceV2 CTAS
  • [SPARK-48719]: Wrong result in regr_slope & regr_intercept aggregate with tuples has NULL
  • [SPARK-48791]: Perf regression due to accumulator registration overhead using CopyOnWriteArrayList
  • [SPARK-48843]: Infinite loop with GlobalLimit/BindParameters
  • [SPARK-48845]: GenericUDF Can not CatchException From Child UDFs
  • [SPARK-48863]: ClassCastException: class org.apache.spark.unsafe.types.UTF8String cannot be cast to class org.apache.spark.sql.catalyst.util.ArrayData when parsing JSON with “spark.sql.json.enablePartialResults” enabled
  • [SPARK-48871]: Fix INVALID_NON_DETERMINISTIC_EXPRESSIONS validation in CheckAnalysis
  • [SPARK-48921]: ScalaUDF in subquery should run through analyzer
  • [SPARK-48991]: FileStreamSink.hasMetadata handles invalid path
  • [SPARK-49000]: Aggregation with DISTINCT gives wrong results when dealing with literals
  • [SPARK-49005]: Use 17-jammy instead of 17 to prevent Python 3.12
  • [SPARK-49065]: Rebasing in legacy formatters/parsers must support non JVM default time zones
  • [SPARK-49094]: ignoreCorruptFiles file source option is partially supported for orc format
  • [SPARK-49099]: Refactor CatalogManager.setCurrentNamespace
  • [SPARK-45587]: Skip UNIDOC and MIMA in build GitHub Action job
  • [SPARK-45593]: Building a runnable distribution from master code running spark-sql raise error “java.lang.ClassNotFoundException: org.sparkproject.guava.util.concurrent.internal.InternalFutureFailureAccess”
  • [SPARK-47172]: Upgrade Transport block cipher mode to GCM
  • [SPARK-47299]: Use the same versions.json in the dropdown of different versions of PySpark documents
  • [SPARK-47734]: Fix flaky pyspark.sql.dataframe.DataFrame.writeStream doctest by stopping streaming query
  • [SPARK-47825]: Make KinesisTestUtils & WriteInputFormatTestDataGenerator deprecated
  • [SPARK-47897]: ExpressionSet performance regression in scala 2.12
  • [SPARK-48081]: Fix ClassCastException in NTile.checkInputDataTypes() when argument is non-foldable or of wrong type
  • [SPARK-48292]: Revert [SPARK-39195][SQL] Spark OutputCommitCoordinator should abort stage when committed file not consistent with task status
  • [SPARK-48391]: Use addAll instead of add function in TaskMetrics to accelerate
  • [SPARK-48424]: Make dev/is-changed.py to return true if it fails
  • [SPARK-48586]: Remove lock acquisition in doMaintenance() by making a deep copy of file mappings in RocksDBFileManager in load()
  • [SPARK-48610]: Remove ExplainUtils.processPlan synchronize
  • [SPARK-48806]: Pass actual exception when url_decode fails
  • [SPARK-47481]: Fix Python linter
  • [SPARK-48535]: Update doc to log warning for join null related config usage
  • [SPARK-48934]: Python datetime types converted incorrectly for setting timeout in applyInPandasWithState

Dependency changes

You can consult JIRA for the detailed changes.

We would like to acknowledge all community members for contributing patches to this release.


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