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

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23 changes: 23 additions & 0 deletions docs/sql-programming-guide.md
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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