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ARROW-7744: [Java][FlightRPC] JDBC Driver for Arrow Flight SQL - #13800
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* Make UTC the default tz instead of using local tz * Use Avatica DateTimeUtils for getString in Date/Time/TimeStamp * Correct usage for unix*ToString * Add unit tests for Date/Time getString * Check wasNull
* Add support for getUnicodeStream * nit: remove outofscope changes * Fix small mistake in one of the added tests * nit: remove unused imports * Simplify PR
lidavidm
commented
Sep 12, 2022
Great, CI looks good now (minus known extant issues). I'll give this a final review soon |
lidavidm
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As noted there are several items here to improve but I think we should get this in and keep working on it. I filed ARROW-17729 with several items to address and @avantgardnerio has some useful improvements that should be reviewed and merged too
lidavidm
commented
Sep 14, 2022
CI failures are unrelated/addressed elsewhere |
avantgardnerio
commented
Sep 14, 2022
Awesome news! Thank you very much for all the hard work that went into this. My company is very excited to make some PRs in the near future :) |
ursabot
commented
Sep 15, 2022
Benchmark runs are scheduled for baseline = 9c628b7 and contender = eb00620. eb00620 is a master commit associated with this PR. Results will be available as each benchmark for each run completes. |
…e#13800) Lead-authored-by: James Duong <duong.james@gmail.com> Co-authored-by: iurysalino <iurysalino@gmail.com> Co-authored-by: Vinicius Fraga <62815192+vfraga@users.noreply.github.com> Signed-off-by: David Li <li.davidm96@gmail.com>
This PR bumps Apache Arrow version from 9.0.0 to 10.0.0. Main changes related to PyAmber: ## Java/Scala side: - JDBC Driver for Arrow Flight SQL ([13800](apache/arrow#13800)) - Initial implementation of immutable Table API ([14316](apache/arrow#14316)) - Substrait, transaction, cancellation for Flight SQL ([13492](apache/arrow#13492)) - Read Arrow IPC, CSV, and ORC files by NativeDatasetFactory ([13811](apache/arrow#13811), [13973](apache/arrow#13973), [14182](apache/arrow#14182)) - Add utility to bind Arrow data to JDBC parameters ([13589](apache/arrow#13589)) ## Python side: - The batch_readahead and fragment_readahead arguments for scanning Datasets are exposed in Python ([ARROW-17299](https://issues.apache.org/jira/browse/ARROW-17299)). - ExtensionArrays can now be created from a storage array through the pa.array(..) constructor ([ARROW-17834](https://issues.apache.org/jira/browse/ARROW-17834)). - Converting ListArrays containing ExtensionArray values to numpy or pandas works by falling back to the storage array ([ARROW-17813](https://issues.apache.org/jira/browse/ARROW-17813)). - Casting Tables to a new schema now honors the nullability flag in the target schema ([ARROW-16651](https://issues.apache.org/jira/browse/ARROW-16651)).
…e#13800) Lead-authored-by: James Duong <duong.james@gmail.com> Co-authored-by: iurysalino <iurysalino@gmail.com> Co-authored-by: Vinicius Fraga <62815192+vfraga@users.noreply.github.com> Signed-off-by: David Li <li.davidm96@gmail.com>
This PR bumps Apache Arrow version from 9.0.0 to 10.0.0. Main changes related to PyAmber: ## Java/Scala side: - JDBC Driver for Arrow Flight SQL ([13800](apache/arrow#13800)) - Initial implementation of immutable Table API ([14316](apache/arrow#14316)) - Substrait, transaction, cancellation for Flight SQL ([13492](apache/arrow#13492)) - Read Arrow IPC, CSV, and ORC files by NativeDatasetFactory ([13811](apache/arrow#13811), [13973](apache/arrow#13973), [14182](apache/arrow#14182)) - Add utility to bind Arrow data to JDBC parameters ([13589](apache/arrow#13589)) ## Python side: - The batch_readahead and fragment_readahead arguments for scanning Datasets are exposed in Python ([ARROW-17299](https://issues.apache.org/jira/browse/ARROW-17299)). - ExtensionArrays can now be created from a storage array through the pa.array(..) constructor ([ARROW-17834](https://issues.apache.org/jira/browse/ARROW-17834)). - Converting ListArrays containing ExtensionArray values to numpy or pandas works by falling back to the storage array ([ARROW-17813](https://issues.apache.org/jira/browse/ARROW-17813)). - Casting Tables to a new schema now honors the nullability flag in the target schema ([ARROW-16651](https://issues.apache.org/jira/browse/ARROW-16651)).
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