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-rw-r--r--docs/sql-programming-guide.md16
1 files changed, 8 insertions, 8 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index 38f617d0c8..b2b007509c 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -225,7 +225,7 @@ public static class Person implements Serializable {
{% endhighlight %}
-A schema can be applied to an existing RDD by calling `applySchema` and providing the Class object
+A schema can be applied to an existing RDD by calling `createDataFrame` and providing the Class object
for the JavaBean.
{% highlight java %}
@@ -247,7 +247,7 @@ JavaRDD<Person> people = sc.textFile("examples/src/main/resources/people.txt").m
});
// Apply a schema to an RDD of JavaBeans and register it as a table.
-JavaSchemaRDD schemaPeople = sqlContext.applySchema(people, Person.class);
+JavaSchemaRDD schemaPeople = sqlContext.createDataFrame(people, Person.class);
schemaPeople.registerTempTable("people");
// SQL can be run over RDDs that have been registered as tables.
@@ -315,7 +315,7 @@ a `SchemaRDD` can be created programmatically with three steps.
1. Create an RDD of `Row`s from the original RDD;
2. Create the schema represented by a `StructType` matching the structure of
`Row`s in the RDD created in Step 1.
-3. Apply the schema to the RDD of `Row`s via `applySchema` method provided
+3. Apply the schema to the RDD of `Row`s via `createDataFrame` method provided
by `SQLContext`.
For example:
@@ -341,7 +341,7 @@ val schema =
val rowRDD = people.map(_.split(",")).map(p => Row(p(0), p(1).trim))
// Apply the schema to the RDD.
-val peopleSchemaRDD = sqlContext.applySchema(rowRDD, schema)
+val peopleSchemaRDD = sqlContext.createDataFrame(rowRDD, schema)
// Register the SchemaRDD as a table.
peopleSchemaRDD.registerTempTable("people")
@@ -367,7 +367,7 @@ a `SchemaRDD` can be created programmatically with three steps.
1. Create an RDD of `Row`s from the original RDD;
2. Create the schema represented by a `StructType` matching the structure of
`Row`s in the RDD created in Step 1.
-3. Apply the schema to the RDD of `Row`s via `applySchema` method provided
+3. Apply the schema to the RDD of `Row`s via `createDataFrame` method provided
by `JavaSQLContext`.
For example:
@@ -406,7 +406,7 @@ JavaRDD<Row> rowRDD = people.map(
});
// Apply the schema to the RDD.
-JavaSchemaRDD peopleSchemaRDD = sqlContext.applySchema(rowRDD, schema);
+JavaSchemaRDD peopleSchemaRDD = sqlContext.createDataFrame(rowRDD, schema);
// Register the SchemaRDD as a table.
peopleSchemaRDD.registerTempTable("people");
@@ -436,7 +436,7 @@ a `SchemaRDD` can be created programmatically with three steps.
1. Create an RDD of tuples or lists from the original RDD;
2. Create the schema represented by a `StructType` matching the structure of
tuples or lists in the RDD created in the step 1.
-3. Apply the schema to the RDD via `applySchema` method provided by `SQLContext`.
+3. Apply the schema to the RDD via `createDataFrame` method provided by `SQLContext`.
For example:
{% highlight python %}
@@ -458,7 +458,7 @@ fields = [StructField(field_name, StringType(), True) for field_name in schemaSt
schema = StructType(fields)
# Apply the schema to the RDD.
-schemaPeople = sqlContext.applySchema(people, schema)
+schemaPeople = sqlContext.createDataFrame(people, schema)
# Register the SchemaRDD as a table.
schemaPeople.registerTempTable("people")