Skip to content

[Branch-1.2] [DOC] Date type in SQL programming guide #3535

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 1 commit into from
Closed

[Branch-1.2] [DOC] Date type in SQL programming guide #3535

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
23 changes: 23 additions & 0 deletions docs/sql-programming-guide.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1048,6 +1048,7 @@ Spark SQL supports the vast majority of Hive features, such as:
* `STRING`
* `BINARY`
* `TIMESTAMP`
* `DATE`
* `ARRAY<>`
* `MAP<>`
* `STRUCT<>`
Expand Down Expand Up @@ -1148,6 +1149,7 @@ 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
Expand Down Expand Up @@ -1255,6 +1257,13 @@ import org.apache.spark.sql._
TimestampType
</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>
Expand Down Expand Up @@ -1381,6 +1390,13 @@ please use factory methods provided in
DataType.TimestampType
</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>
Expand Down Expand Up @@ -1528,6 +1544,13 @@ from pyspark.sql import *
TimestampType()
</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>
Expand Down