It's still good to know since Spark uses ORC :-) 2020년 12월 4일 (금) 오전 3:34, Dongjoon Hyun <dongjoon.h...@gmail.com>님이 작성:
> Oh, my bad. The previous email was written for `d...@orc.apache.org`. > > Apache ORC 1.6.6 is not for Apache Spark 3.1. > > It's prepared for Apache Spark 3.2 (2020 Summer) to provide mainly > columnar encryption and better ZStd support in Spark. > > Bests, > Dongjoon. > > On Thu, Dec 3, 2020 at 10:18 AM Dongjoon Hyun <dongjoon.h...@gmail.com> > wrote: > >> Hi, All. >> >> I'd like to propose to cut Apache ORC 1.6.6 release as the first backward >> compatible version for Apache Spark. To achieve the backward compatibility, >> we resolved most backward compatibility issues after Apache ORC 1.6.5 >> releases and started to publish SNAPSHOTs. >> >> ORC-689: Add GitHubAction job to publish snapshot >> ORC-685: Add `ReaderImpl.extractFileTail` back >> ORC-677: Add a deprecated legacy constructor SargApplier back >> ORC-676. Add getRawDataSizeFromColIndices back to ReaderImpl >> ORC-671. Add OrcTail.getStripeStatistics back for backward compatibility >> ORC-669. Reduce breaking changes in ReaderImpl.java >> >> As of today, the snapshot release passed Apache Spark and Apache Iceberg >> UTs. >> >> https://github.com/dongjoon-hyun/spark/pull/41 >> https://github.com/dongjoon-hyun/iceberg/pull/1 >> >> I start to roll 1.6.6-rc0. After 1.6.6 release, 1.6.7 will focus on >> Apache Hive. >> >> Thanks, >> Dongjoon. >> >
