You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@spark.apache.org by ma...@apache.org on 2014/12/01 23:04:23 UTC
spark git commit: [SQL][DOC] Date type in SQL programming guide
Repository: spark
Updated Branches:
refs/heads/master 7b7995787 -> 5edbcbfb6
[SQL][DOC] Date type in SQL programming guide
Author: Daoyuan Wang <da...@intel.com>
Closes #3535 from adrian-wang/datedoc and squashes the following commits:
18ff1ed [Daoyuan Wang] [DOC] Date type
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/5edbcbfb
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/5edbcbfb
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/5edbcbfb
Branch: refs/heads/master
Commit: 5edbcbfb61703398a24ce5162a74aba04e365b0c
Parents: 7b79957
Author: Daoyuan Wang <da...@intel.com>
Authored: Mon Dec 1 14:03:57 2014 -0800
Committer: Michael Armbrust <mi...@databricks.com>
Committed: Mon Dec 1 14:04:07 2014 -0800
----------------------------------------------------------------------
docs/sql-programming-guide.md | 23 +++++++++++++++++++++++
1 file changed, 23 insertions(+)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/spark/blob/5edbcbfb/docs/sql-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index c38ca55..85d446b 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -1057,6 +1057,7 @@ Spark SQL supports the vast majority of Hive features, such as:
* `STRING`
* `BINARY`
* `TIMESTAMP`
+ * `DATE`
* `ARRAY<>`
* `MAP<>`
* `STRUCT<>`
@@ -1157,6 +1158,7 @@ evaluated by the SQL execution engine. A full list of the functions supported c
* Datetime type
- `TimestampType`: Represents values comprising values of fields year, month, day,
hour, minute, and second.
+ - `DateType`: Represents values comprising values of fields year, month, day.
* Complex types
- `ArrayType(elementType, containsNull)`: Represents values comprising a sequence of
elements with the type of `elementType`. `containsNull` is used to indicate if
@@ -1265,6 +1267,13 @@ import org.apache.spark.sql._
</td>
</tr>
<tr>
+ <td> <b>DateType</b> </td>
+ <td> java.sql.Date </td>
+ <td>
+ DateType
+ </td>
+</tr>
+<tr>
<td> <b>ArrayType</b> </td>
<td> scala.collection.Seq </td>
<td>
@@ -1391,6 +1400,13 @@ please use factory methods provided in
</td>
</tr>
<tr>
+ <td> <b>DateType</b> </td>
+ <td> java.sql.Date </td>
+ <td>
+ DataType.DateType
+ </td>
+</tr>
+<tr>
<td> <b>ArrayType</b> </td>
<td> java.util.List </td>
<td>
@@ -1538,6 +1554,13 @@ from pyspark.sql import *
</td>
</tr>
<tr>
+ <td> <b>DateType</b> </td>
+ <td> datetime.date </td>
+ <td>
+ DateType()
+ </td>
+</tr>
+<tr>
<td> <b>ArrayType</b> </td>
<td> list, tuple, or array </td>
<td>
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@spark.apache.org
For additional commands, e-mail: commits-help@spark.apache.org