Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+1 (non binding) Regards JB On Tue, May 23, 2023 at 10:21 PM Anton Okolnychyi wrote: > > Hi Everyone, > > I propose that we release the following RC as the official Apache Iceberg > 1.3.0 release. > > The commit ID is 7dbdfd33a667a721fbb21c7c7d06fec9daa30b88 > * This corresponds to the tag: apa

Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+0 (binding) Verified signature, checksum Verified License Ran simple queries(create a table, query) on Spark 3.3_2.12 Built and ran tests locally. All good except 6 tests in class TestS3RestSigner failed. It is likely due to my local network environment since the github pipeline seems fine.

Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+1 (binding) Signature: OK Checksum: OK RAT checks: OK Played around with Spark 3.4 a bit, MoR DELETE, delete and data file compaction. - Anton > On May 25, 2023, at 8:38 AM, Jahagirdar, Amogh > wrote: > > +1 (non-binding) > > • Checked signature, checksum, licenses. > • Build

Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+1 (non-binding) 1. Checked signature, checksum, licenses. 2. Build and test with JDK 11 3. Tested on Trino and Spark 3.4 Thanks for driving this Anton! Thanks, Amogh Jahagirdar From: Fokko Driesprong Reply-To: "dev@iceberg.apache.org" Date: Thursday, May 25, 2023 at 6:14 AM To: "d

Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+1 (binding) Thanks for running this Anton! - Checked the signature and checksum - Checked the licenses - Build with JDK 11 - Tested against Trino Kind regards, Fokko Op do 25 mei 2023 om 05:18 schreef Ajantha Bhat : > +1 (non-binding) > > - Verifi

Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+1 (non-binding) - Verified Nessie integration testing with Spark-3.3_2.12_runtime jar. - Validated checksum and signature - Checked license docs & ran RAT checks - Verified build with JDK8 Thanks, Ajantha On Thu, May 25, 2023 at 3:13 AM Szehon Ho wrote: > +1 (binding) > > 1. verify signatures

Re: [VOTE] Release Apache Iceberg 1.3.0 RC0

+1 (binding) 1. verify signatures 2. verify checksum 3. verify license documentation 4. build and run tests 5. Ran simple tests on Spark 3.4 - Create simple table and check metadata tables - Ran 'delete from' statement to generate position delete, and run rewrite_position_delete Thanks Szehon On