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The following commit(s) were added to refs/heads/branch-3.4 by this push:
new 922f5f686dc7 [SPARK-47375][DOC][FOLLOWUP] Correct the
preferTimestampNTZ option description in JDBC doc
922f5f686dc7 is described below
commit 922f5f686dc72433a9028bbe471a35a5b84f2855
Author: Gengliang Wang <gengli...@apache.org>
AuthorDate: Wed Mar 13 21:00:35 2024 -0700
[SPARK-47375][DOC][FOLLOWUP] Correct the preferTimestampNTZ option
description in JDBC doc
### What changes were proposed in this pull request?
Correct the preferTimestampNTZ option description in JDBC doc as per
https://github.com/apache/spark/pull/45496
### Why are the changes needed?
The current doc is wrong about the jdbc option preferTimestampNTZ
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Just doc change
### Was this patch authored or co-authored using generative AI tooling?
No
Closes #45502 from gengliangwang/ntzJdbc.
Authored-by: Gengliang Wang <gengli...@apache.org>
Signed-off-by: Gengliang Wang <gengli...@apache.org>
(cherry picked from commit abfbd2718159d62e3322cca8c2d4ef1c29781b21)
Signed-off-by: Gengliang Wang <gengli...@apache.org>
---
docs/sql-data-sources-jdbc.md | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/docs/sql-data-sources-jdbc.md b/docs/sql-data-sources-jdbc.md
index ef11a3a77dd8..004244b7328c 100644
--- a/docs/sql-data-sources-jdbc.md
+++ b/docs/sql-data-sources-jdbc.md
@@ -368,8 +368,9 @@ logging into the data sources.
<td><code>preferTimestampNTZ</code></td>
<td>false</td>
<td>
- When the option is set to <code>true</code>, all timestamps are inferred
as TIMESTAMP WITHOUT TIME ZONE.
- Otherwise, timestamps are read as TIMESTAMP with local time zone.
+ When the option is set to <code>true</code>, TIMESTAMP WITHOUT TIME ZONE
type are inferred as Spark's TimestampNTZ type.
+ Otherwise, it is interpreted as Spark's Timestamp type(equivalent to
TIMESTAMP WITHOUT LOCAL TIME ZONE).
+ This setting specifically affects only the inference of TIMESTAMP
WITHOUT TIME ZONE data type. Both TIMESTAMP WITHOUT LOCAL TIME ZONE and
TIMESTAMP WITH TIME ZONE data types are consistently interpreted as Spark's
Timestamp type regardless of this setting.
</td>
<td>read</td>
</tr>
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