Lightning-fast unified analytics engine

Spark Release 2.4.5

Spark 2.4.5 is a maintenance release containing stability fixes. This release is based on the branch-2.4 maintenance branch of Spark. We strongly recommend all 2.4 users to upgrade to this stable release.

Notable changes

  • [SPARK-21492]: Fix memory leak in SortMergeJoin
  • [SPARK-26985]: Fix “access only some column of the all of columns “ for big endian architecture
  • [SPARK-27812]: Bump K8S client version to 4.6.1
  • [SPARK-28152]: Add a legacy conf for old MsSqlServerDialect numeric mapping
  • [SPARK-28939]: Propagate SQLConf for plans executed by toRdd
  • [SPARK-29042]: Sampling-based RDD with unordered input should be INDETERMINATE
  • [SPARK-29101]: Fix count API for csv file when DROPMALFORMED mode is selected
  • [SPARK-29651]: Fix parsing of interval seconds fraction
  • [SPARK-29708]: Correct aggregated values when grouping sets are duplicated
  • [SPARK-29743]: Fix sample to set needCopyResult to true if its child is
  • [SPARK-29890]: Fix DataFrameNaFunctions.fill to handle duplicate columns
  • [SPARK-29918]: RecordBinaryComparator should check endianness when compared by long
  • [SPARK-30065]: Fix DataFrameNaFunctions.drop to handle duplicate columns
  • [SPARK-30082]: Do not replace Zeros when replacing NaNs
  • [SPARK-30274]: Avoid BytesToBytesMap lookup hang forever when holding keys reaching max capacity
  • [SPARK-30312]: Preserve path permission and acl when truncate table
  • [SPARK-30447]: Fix constant propagation nullability issue

Known issues

  • [SPARK-26021]: -0.0 and 0.0 not treated consistently, doesn’t match Hive
  • [SPARK-26154]: Stream-stream joins - left outer join gives inconsistent output
  • [SPARK-28344]: Fail the query if detect ambiguous self join

You can consult JIRA for the detailed changes.

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


Spark News Archive