Hi Iceberg Community,

Here are the minutes and recording from our Iceberg Sync.

Always remember, anyone can join the discussion so feel free to share the
Iceberg-Sync <https://groups.google.com/g/iceberg-sync> google group with
anyone seeking an invite.
The notes and the agenda are posted in the Iceberg Sync doc
<https://docs.google.com/document/d/1YuGhUdukLP5gGiqCbk0A5_Wifqe2CZWgOd3TbhY3UQg/edit?usp=drive_web>
that's
also attached to the meeting invitation and it's an excellent place to add
items as you see fit so we can discuss them in the following community sync.

Meeting Recording
<https://drive.google.com/file/d/13pn1qDYK9dOZaKk0fMu5111FA3z9mM6R/view?usp=sharing>
⭕

Meeting Transcript
<https://docs.google.com/document/d/1qwlnvWnbWcj1fsxTfsTxC3VOUD7oba90P5iBkKvl-4w/edit?usp=sharing>

   -

   Highlights
   -

      Spark default distribution modes are fixed (Thanks, Anton!)
      -

      Flink write <https://github.com/apache/iceberg/pull/6660> and read
      <https://github.com/apache/iceberg/pull/5029> support for branch and
      tag (Thanks, Amogh and Liwei Li)
      -

      Added DROP BRANCH, DROP TAG, CREATE/REPLACE TAG syntax (Thanks,
      Amogh, Liwei, Xuwei, and Chidayong)
      -

      Added DynamoDB catalog support in Python (Thanks, Armin!)
      -

      REST catalog supports lazy snapshot loading (Thanks, Dan!)
      -

      Added Python support for static tables (Thanks, Ruben!)
      -

      Added SQL view representation implementation (Thanks, Amogh!)
      -

   Releases
   -

      1.2.0
      -

         https://github.com/apache/iceberg/milestone/28
         -

         Spark row-level commands and branches
         -

   Discussion
   -

      Partition-level stats
      -

         Review of the current design
         -

         Next steps
         -

         Metadata proposal
         -

      Consolidate all path creations to LocationProvider
      https://github.com/apache/iceberg/issues/6809
      -

      Nullable dependency to use: javax or umd?
      -

      Would appreciate some reviews for Conditional Commits PR:
      https://github.com/apache/iceberg/pull/6513
      -

      Spark 3.4 support


Thanks everyone!
Eduard

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