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| author | Daoyuan Wang <daoyuan.wang@intel.com> | 2014-12-01 14:03:57 -0800 |
|---|---|---|
| committer | Michael Armbrust <michael@databricks.com> | 2014-12-01 14:04:07 -0800 |
| commit | 5edbcbfb61703398a24ce5162a74aba04e365b0c (patch) | |
| tree | dd311f026dae6b23a4b560368e1564faaff5ec83 /docs/sql-programming-guide.md | |
| parent | 7b79957879db4dfcc7c3601cb40ac4fd576259a5 (diff) | |
| download | spark-5edbcbfb61703398a24ce5162a74aba04e365b0c.tar.gz spark-5edbcbfb61703398a24ce5162a74aba04e365b0c.tar.bz2 spark-5edbcbfb61703398a24ce5162a74aba04e365b0c.zip | |
[SQL][DOC] Date type in SQL programming guide
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes #3535 from adrian-wang/datedoc and squashes the following commits:
18ff1ed [Daoyuan Wang] [DOC] Date type
Diffstat (limited to 'docs/sql-programming-guide.md')
| -rw-r--r-- | docs/sql-programming-guide.md | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index c38ca55653..85d446b9da 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> |