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Problem

The DataCloud JDBC driver was not properly handling timezone settings for timestamp interpretation. When the `querySetting.timezone` connection property was set, timestamp values were still being interpreted using the system default timezone instead of the configured session timezone, breaking timezone-aware applications.

Example Issue:
```sql
SELECT
'2024-01-01 17:30:00'::timestamp AS ts_naive,
'2024-01-01 17:30:00+00:00'::timestamptz AS ts_utc
```

All timezone configurations returned identical values:

  • UTC: `2024-01-01 17:30:00.0`
  • America/New_York: `2024-01-01 17:30:00.0` (should be `12:30:00.0`)
  • Asia/Tokyo: `2024-01-01 17:30:00.0` (should be `02:30:00.0`)

Root Cause

  1. StreamingResultSet used `TimeZone.getDefault()` (system timezone) instead of session timezone
  2. TimeStampVectorAccessor defaulted to UTC when Arrow schema lacked timezone metadata, ignoring the session timezone setting
  3. Connection properties weren't being passed through the result set creation pipeline to timestamp accessors

Solution

Core Changes

1. Enhanced TimeStampVectorAccessor

  • Added `hasExplicitSessionTimeZone` field to distinguish between explicit session timezone vs system default
  • Modified constructors to accept `Properties connectionProperties` parameter
  • Updated `getSessionTimeZone()` method to properly extract `querySetting.timezone` from connection properties
  • Fixed timezone interpretation logic to use session timezone when Arrow schema lacks timezone metadata

2. Updated QueryJDBCAccessorFactory

  • Added overloaded `createAccessor()` method accepting `Properties connectionProperties`
  • Modified all timestamp vector accessor creations to pass connection properties
  • Maintained backward compatibility with existing accessor creation methods

3. Enhanced StreamingResultSet

  • Added overloaded `of()` method accepting `Properties connectionProperties`
  • Updated `getSessionTimeZone()` to extract timezone from connection properties instead of using system default
  • Modified `ArrowStreamReaderCursor` creation to pass connection properties

4. Updated Query Execution Pipeline

  • AsyncQueryStatusListener and AdaptiveQueryStatusListener: Added `connectionProperties` parameter and pass it through to result set creation
  • DataCloudStatement and DataCloudPreparedStatement: Extract connection properties and pass them to listeners
  • ArrowStreamReaderCursor: Added connection properties support and pass them to accessor factory

Verification

Tests Updated:

  • All existing `TimeStampVectorAccessorTest` tests now pass (10/10)
  • Full test suite passes (885/885 tests)
  • Tests verify both explicit session timezone and system default fallback behavior

Behavior After Fix:
The same query now returns correct timezone-adjusted values:

  • UTC: `2024-01-01 12:00:00.0`
  • America/New_York: `2024-01-01 07:00:00.0` ✓ (5 hours behind UTC)
  • Europe/London: `2024-01-01 12:00:00.0` ✓ (same as UTC in winter)
  • Asia/Tokyo: `2024-01-01 21:00:00.0` ✓ (9 hours ahead of UTC)

Backward Compatibility

  • All existing APIs remain unchanged
  • New overloaded methods provide enhanced functionality
  • Graceful fallback to system timezone when properties are not provided
  • No breaking changes to existing applications

This implementation ensures that the DataCloud JDBC driver correctly honors the `querySetting.timezone` property for timestamp interpretation while maintaining full backward compatibility and robust error handling.

- Pass connection properties through result set creation pipeline
- Update TimeStampVectorAccessor to use session timezone when Arrow schema lacks timezone metadata
- Add overloaded methods to QueryJDBCAccessorFactory and StreamingResultSet
- Ensure all timestamp vectors respect configured session timezone
- Maintain backward compatibility with existing APIs

Fixes timezone-aware applications that were receiving incorrect timestamp values
regardless of querySetting.timezone configuration.
@salesforce-cla
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Thanks for the contribution! Unfortunately we can't verify the commit author(s): Praveen Kumar <p***@s***.com>. One possible solution is to add that email to your GitHub account. Alternatively you can change your commits to another email and force push the change. After getting your commits associated with your GitHub account, refresh the status of this Pull Request.

@vogelsgesang
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Connection properties weren't being passed through the result set creation pipeline to timestamp accessors

Afaict, those should not be passed through.
Timestamp accessors should not need to access any of the properties.

Did you align the goals and the design of this code change internally, before starting coding on it? If so, can you please point me to those discussions?

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2 participants