chore(main): release 0.43.0

[github-actions]

🤖 I have created a release beep boop

0.43.0 (2026-05-15)

Features

• Avatical Removal Part 3/3 - Remove Avatica dependency completely (#166) (0e7d912)
• expose DataCloudStatement.getQueryStatus() with execution stats (#178) (d4b1dcf)
• Expose query execution statistics in QueryStatus (#164) (f01c77a)
• implement timezone and timestamp handling with JDBC 4.2 support (#158) (d0301f5)
• Improve authentication error logging and retry handling (#140) (0d42ad1)
• Improve virtual thread compatibility (#165) (18d9f38)

Bug Fixes

• async interrupt race condition in SyncIteratorAdapter (#170) (e81a0e6)
• correct DatabaseMetaData.getTableTypes() to return table type names (#162) (a5399bb)
• JDBC spec compliance and small metadata bug fixes (#171) (5a78b40)
• propagate caller ThreadLocals to follow-up gRPC calls in async iterators (#181) (7ac79f8)
• support getObject(Class) with identity class type in QueryJDBCAccessor (#186) (f47714f)
• Upgrade 3PP versions and fix gRPC stream leak exposed by gRPC 1.80 (#168) (c0d2086)

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This PR was generated with Release Please. See documentation.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 83.10%. Comparing base (5a78b40) to head (d70ec08).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@             Coverage Diff              @@
##               main     #163      +/-   ##
============================================
+ Coverage     82.80%   83.10%   +0.30%     
- Complexity     1659     1667       +8     
============================================
  Files           118      119       +1     
  Lines          4623     4641      +18     
  Branches        491      493       +2     
============================================
+ Hits           3828     3857      +29     
+ Misses          569      560       -9     
+ Partials        226      224       -2     

Components	Coverage Δ
JDBC Core	84.10% <88.88%> (+0.37%)	⬆️
JDBC Main	40.69% <ø> (ø)
JDBC HTTP	90.30% <ø> (ø)
JDBC Utilities	65.25% <ø> (ø)
Spark Datasource	∅ <ø> (∅)
see 1 file with indirect coverage changes

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