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author | Yin Huai <huai@cse.ohio-state.edu> | 2014-10-02 11:37:24 -0700 |
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committer | Michael Armbrust <michael@databricks.com> | 2014-10-02 11:37:53 -0700 |
commit | 68693519ea6b08de39d50ddd84e24fb762a3a44d (patch) | |
tree | 5e5a005e5396f52df332f2bf35326d0689d00203 | |
parent | c52c231c792ce4621ca9c9290595874e6390f9bc (diff) | |
download | spark-68693519ea6b08de39d50ddd84e24fb762a3a44d.tar.gz spark-68693519ea6b08de39d50ddd84e24fb762a3a44d.tar.bz2 spark-68693519ea6b08de39d50ddd84e24fb762a3a44d.zip |
[SQL][Docs] Update the output of printSchema and fix a typo in SQL programming guide.
We have changed the output format of `printSchema`. This PR will update our SQL programming guide to show the updated format. Also, it fixes a typo (the value type of `StructType` in Java API).
Author: Yin Huai <huai@cse.ohio-state.edu>
Closes #2630 from yhuai/sqlDoc and squashes the following commits:
267d63e [Yin Huai] Update the output of printSchema and fix a typo.
(cherry picked from commit 82a6a083a485140858bcd93d73adec59bb5cca64)
Signed-off-by: Michael Armbrust <michael@databricks.com>
-rw-r--r-- | docs/sql-programming-guide.md | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index 6d24972d92..90ac971751 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -620,8 +620,8 @@ val people = sqlContext.jsonFile(path) // The inferred schema can be visualized using the printSchema() method. people.printSchema() // root -// |-- age: IntegerType -// |-- name: StringType +// |-- age: integer (nullable = true) +// |-- name: string (nullable = true) // Register this SchemaRDD as a table. people.registerTempTable("people") @@ -658,8 +658,8 @@ JavaSchemaRDD people = sqlContext.jsonFile(path); // The inferred schema can be visualized using the printSchema() method. people.printSchema(); // root -// |-- age: IntegerType -// |-- name: StringType +// |-- age: integer (nullable = true) +// |-- name: string (nullable = true) // Register this JavaSchemaRDD as a table. people.registerTempTable("people"); @@ -697,8 +697,8 @@ people = sqlContext.jsonFile(path) # The inferred schema can be visualized using the printSchema() method. people.printSchema() # root -# |-- age: IntegerType -# |-- name: StringType +# |-- age: integer (nullable = true) +# |-- name: string (nullable = true) # Register this SchemaRDD as a table. people.registerTempTable("people") @@ -1394,7 +1394,7 @@ please use factory methods provided in </tr> <tr> <td> <b>StructType</b> </td> - <td> org.apache.spark.sql.api.java </td> + <td> org.apache.spark.sql.api.java.Row </td> <td> DataType.createStructType(<i>fields</i>)<br /> <b>Note:</b> <i>fields</i> is a List or an array of StructFields. |