+1, great idea. On Fri, Feb 12, 2021 at 6:40 PM Yuming Wang <wgy...@gmail.com> wrote:
> +1. > > On Sat, Feb 13, 2021 at 10:38 AM Takeshi Yamamuro <linguin....@gmail.com> > wrote: > >> +1, too. Thanks, Dongjoon! >> >> 2021/02/13 11:07、Xiao Li <lix...@databricks.com>のメール: >> >> >> +1 >> >> Happy Lunar New Year! >> >> Xiao >> >> On Fri, Feb 12, 2021 at 5:33 PM Hyukjin Kwon <gurwls...@gmail.com> wrote: >> >>> Yeah, +1 too >>> >>> 2021년 2월 13일 (토) 오전 4:49, Dongjoon Hyun <dongjoon.h...@gmail.com>님이 작성: >>> >>>> Thank you, Sean! >>>> >>>> On Fri, Feb 12, 2021 at 11:41 AM Sean Owen <sro...@gmail.com> wrote: >>>> >>>>> Sounds like a fine time to me, sure. >>>>> >>>>> On Fri, Feb 12, 2021 at 1:39 PM Dongjoon Hyun <dongjoon.h...@gmail.com> >>>>> wrote: >>>>> >>>>>> Hi, All. >>>>>> >>>>>> As of today, `branch-3.0` has 307 patches (including 25 correctness >>>>>> patches) since v3.0.1 tag (released on September 8th, 2020). >>>>>> >>>>>> Since we stabilized branch-3.0 during 3.1.x preparation so far, >>>>>> it would be great if we start to release Apache Spark 3.0.2 next week. >>>>>> And, I'd like to volunteer for Apache Spark 3.0.2 release manager. >>>>>> >>>>>> What do you think about the Apache Spark 3.0.2 release? >>>>>> >>>>>> Bests, >>>>>> Dongjoon. >>>>>> >>>>>> >>>>>> -----<Correctness Patches>----- >>>>>> SPARK-31511 Make BytesToBytesMap iterator() thread-safe >>>>>> SPARK-32635 When pyspark.sql.functions.lit() function is used with >>>>>> dataframe cache, it returns wrong result >>>>>> SPARK-32753 Deduplicating and repartitioning the same column create >>>>>> duplicate rows with AQE >>>>>> SPARK-32764 compare of -0.0 < 0.0 return true >>>>>> SPARK-32840 Invalid interval value can happen to be just adhesive >>>>>> with the unit >>>>>> SPARK-32908 percentile_approx() returns incorrect results >>>>>> SPARK-33019 Use >>>>>> spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=1 by default >>>>>> SPARK-33183 Bug in optimizer rule EliminateSorts >>>>>> SPARK-33260 SortExec produces incorrect results if sortOrder is a >>>>>> Stream >>>>>> SPARK-33290 REFRESH TABLE should invalidate cache even though the >>>>>> table itself may not be cached >>>>>> SPARK-33358 Spark SQL CLI command processing loop can't exit while >>>>>> one comand fail >>>>>> SPARK-33404 "date_trunc" expression returns incorrect results >>>>>> SPARK-33435 DSv2: REFRESH TABLE should invalidate caches >>>>>> SPARK-33591 NULL is recognized as the "null" string in partition specs >>>>>> SPARK-33593 Vector reader got incorrect data with binary partition >>>>>> value >>>>>> SPARK-33726 Duplicate field names causes wrong answers during >>>>>> aggregation >>>>>> SPARK-33950 ALTER TABLE .. DROP PARTITION doesn't refresh cache >>>>>> SPARK-34011 ALTER TABLE .. RENAME TO PARTITION doesn't refresh cache >>>>>> SPARK-34027 ALTER TABLE .. RECOVER PARTITIONS doesn't refresh cache >>>>>> SPARK-34055 ALTER TABLE .. ADD PARTITION doesn't refresh cache >>>>>> SPARK-34187 Use available offset range obtained during polling when >>>>>> checking offset validation >>>>>> SPARK-34212 For parquet table, after changing the precision and scale >>>>>> of decimal type in hive, spark reads incorrect value >>>>>> SPARK-34213 LOAD DATA doesn't refresh v1 table cache >>>>>> SPARK-34229 Avro should read decimal values with the file schema >>>>>> SPARK-34262 ALTER TABLE .. SET LOCATION doesn't refresh v1 table cache >>>>>> >>>>> >> >> -- >> >> -- Twitter: https://twitter.com/holdenkarau Books (Learning Spark, High Performance Spark, etc.): https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
