Skip to content
Closed
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/sql-data-sources-orc.md
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ the vectorized reader is used when `spark.sql.hive.convertMetastoreOrc` is also
<tr>
<td><code>spark.sql.orc.impl</code></td>
<td><code>native</code></td>
<td>The name of ORC implementation. It can be one of <code>native</code> and <code>hive</code>. <code>native</code> means the native ORC support that is built on Apache ORC 1.4. `hive` means the ORC library in Hive 1.2.1.</td>
<td>The name of ORC implementation. It can be one of <code>native</code> and <code>hive</code>. <code>native</code> means the native ORC support that is built on Apache ORC 1.5. `hive` means the ORC library in Hive 1.2.1.</td>
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Let's just remove versions from this statement entirely? it's not the right place

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

+1 for removal.

Copy link
Member

@dongjoon-hyun dongjoon-hyun Oct 18, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Ur, BTW, it seems that we need to rewrite all. Hive 1.2.1 also became wrong because Hadoop 3.2 profile means ORC 1.6, too. Oops. Late duplicated comment.

cc @wangyum

</tr>
<tr>
<td><code>spark.sql.orc.enableVectorizedReader</code></td>
Expand Down