Releases: palantir/spark
Releases · palantir/spark
3.0.0-palantir.78
- Fix published artifact name for _2.12 Spark distribution (#704)
3.0.0-palantir.77
3.0.0-palantir.75.1
This is a backport of
- Infer 'mixed' types as strings when using Arrow serialization (#702)
3.0.0-palantir.76.1
Same as 3.0.0-palantir.76.
3.0.0-palantir.76
- [SPARK-29376][SQL][PYTHON] Upgrade Apache Arrow to version 0.15.1
- [SPARK-29378][R] Upgrade SparkR to use Arrow 0.15 API
- [SPARK-31701][R][SQL] Bump up the minimum Arrow version as 0.15.1 in SparkR
Spark now uses Arrow version 0.15. 0.15 comes with a compatibility break (Arrow docs). Because of that, pyspark and SparkR need resp. pyarrow and r-arrow version 0.15 or higher if they want to continue using Arrow serialization.
3.0.0-palantir.75
3.0.0-palantir.74
- Add Arrow optimizations for gappy and dapply in SparkR (#689)
- Support Arrow 0.14 in SparkR (#689)
- [SPARK-24666][ML] Fix infinity vectors produced by Word2Vec when numIterations are large (#686)
- [SPARK-29683][YARN]False report isAllNodeBlacklisted when RM is having issue (#688)
- Upgrade ASM to 7.2 (#697)
- [SPARK-30949][K8S][CORE] Decouple requests and parallelism on drivers (#698)
3.0.0-palantir.73
- [SPARK-27992][PYTHON] Allow Python to join with connection thread to propagate errors (#684)
- [SPARK-23961][SPARK-27548][PYTHON] Fix error when toLocalIterator goes out of scope and properly raise errors from worker (#684)
- [SPARK-26922][R] Set socket timeout consistently in Arrow optimization (#684)
- [SPARK-28003][PYTHON] Allow NaT values when creating Spark dataframe from pandas with Arrow (#684)
- [SPARK-27629][PYSPARK] Prevent Unpickler from intervening each unpickling (#684)