diff options
Diffstat (limited to 'examples/src/main/python/sql.py')
| -rw-r--r-- | examples/src/main/python/sql.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/examples/src/main/python/sql.py b/examples/src/main/python/sql.py index d2c5ca48c6..7f5c68e3d0 100644 --- a/examples/src/main/python/sql.py +++ b/examples/src/main/python/sql.py @@ -30,18 +30,18 @@ if __name__ == "__main__": some_rdd = sc.parallelize([Row(name="John", age=19), Row(name="Smith", age=23), Row(name="Sarah", age=18)]) - # Infer schema from the first row, create a SchemaRDD and print the schema - some_schemardd = sqlContext.inferSchema(some_rdd) - some_schemardd.printSchema() + # Infer schema from the first row, create a DataFrame and print the schema + some_df = sqlContext.inferSchema(some_rdd) + some_df.printSchema() # Another RDD is created from a list of tuples another_rdd = sc.parallelize([("John", 19), ("Smith", 23), ("Sarah", 18)]) # Schema with two fields - person_name and person_age schema = StructType([StructField("person_name", StringType(), False), StructField("person_age", IntegerType(), False)]) - # Create a SchemaRDD by applying the schema to the RDD and print the schema - another_schemardd = sqlContext.applySchema(another_rdd, schema) - another_schemardd.printSchema() + # Create a DataFrame by applying the schema to the RDD and print the schema + another_df = sqlContext.applySchema(another_rdd, schema) + another_df.printSchema() # root # |-- age: integer (nullable = true) # |-- name: string (nullable = true) @@ -49,7 +49,7 @@ if __name__ == "__main__": # A JSON dataset is pointed to by path. # The path can be either a single text file or a directory storing text files. path = os.path.join(os.environ['SPARK_HOME'], "examples/src/main/resources/people.json") - # Create a SchemaRDD from the file(s) pointed to by path + # Create a DataFrame from the file(s) pointed to by path people = sqlContext.jsonFile(path) # root # |-- person_name: string (nullable = false) @@ -61,7 +61,7 @@ if __name__ == "__main__": # |-- age: IntegerType # |-- name: StringType - # Register this SchemaRDD as a table. + # Register this DataFrame as a table. people.registerAsTable("people") # SQL statements can be run by using the sql methods provided by sqlContext |