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| author | Dongjoon Hyun <dongjoon@apache.org> | 2016-04-11 09:03:11 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-04-11 09:03:11 +0100 |
| commit | 1a0cca1fc81512d480ed0efc46114cb2b2189183 (patch) | |
| tree | 1c73eabd19fff1d68383e3abbe8429043597badb /docs | |
| parent | 9f838bd24242866a687a2655a1b8ac2f5d562526 (diff) | |
| download | spark-1a0cca1fc81512d480ed0efc46114cb2b2189183.tar.gz spark-1a0cca1fc81512d480ed0efc46114cb2b2189183.tar.bz2 spark-1a0cca1fc81512d480ed0efc46114cb2b2189183.zip | |
[MINOR][DOCS] Fix wrong data types in JSON Datasets example.
## What changes were proposed in this pull request?
This PR fixes the `age` data types from `integer` to `long` in `SQL Programming Guide: JSON Datasets`.
## How was this patch tested?
Manual.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes #12290 from dongjoon-hyun/minor_fix_type_in_json_example.
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/sql-programming-guide.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index 63310be22c..2d9849d032 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -1502,7 +1502,7 @@ val people = sqlContext.read.json(path) // The inferred schema can be visualized using the printSchema() method. people.printSchema() // root -// |-- age: integer (nullable = true) +// |-- age: long (nullable = true) // |-- name: string (nullable = true) // Register this DataFrame as a table. @@ -1540,7 +1540,7 @@ DataFrame people = sqlContext.read().json("examples/src/main/resources/people.js // The inferred schema can be visualized using the printSchema() method. people.printSchema(); // root -// |-- age: integer (nullable = true) +// |-- age: long (nullable = true) // |-- name: string (nullable = true) // Register this DataFrame as a table. @@ -1578,7 +1578,7 @@ people = sqlContext.read.json("examples/src/main/resources/people.json") # The inferred schema can be visualized using the printSchema() method. people.printSchema() # root -# |-- age: integer (nullable = true) +# |-- age: long (nullable = true) # |-- name: string (nullable = true) # Register this DataFrame as a table. @@ -1617,7 +1617,7 @@ people <- jsonFile(sqlContext, path) # The inferred schema can be visualized using the printSchema() method. printSchema(people) # root -# |-- age: integer (nullable = true) +# |-- age: long (nullable = true) # |-- name: string (nullable = true) # Register this DataFrame as a table. |