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SPARK-6992 : Fix documentation example for Spark SQL on StructType #5569

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SPARK-6992 : Fix documentation example for Spark SQL on StructType #5569

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13 changes: 8 additions & 5 deletions docs/sql-programming-guide.md
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Original file line number Diff line number Diff line change
Expand Up @@ -555,13 +555,16 @@ by `SQLContext`.

For example:
{% highlight java %}
// Import factory methods provided by DataType.
import org.apache.spark.sql.types.DataType;
import org.apache.spark.api.java.function.Function;
// Import factory methods provided by DataTypes.
import org.apache.spark.sql.types.DataTypes;
// Import StructType and StructField
import org.apache.spark.sql.types.StructType;
import org.apache.spark.sql.types.StructField;
// Import Row.
import org.apache.spark.sql.Row;
// Import RowFactory.
import org.apache.spark.sql.RowFactory;

// sc is an existing JavaSparkContext.
SQLContext sqlContext = new org.apache.spark.sql.SQLContext(sc);
Expand All @@ -575,16 +578,16 @@ String schemaString = "name age";
// Generate the schema based on the string of schema
List<StructField> fields = new ArrayList<StructField>();
for (String fieldName: schemaString.split(" ")) {
fields.add(DataType.createStructField(fieldName, DataType.StringType, true));
fields.add(DataTypes.createStructField(fieldName, DataTypes.StringType, true));
}
StructType schema = DataType.createStructType(fields);
StructType schema = DataTypes.createStructType(fields);

// Convert records of the RDD (people) to Rows.
JavaRDD<Row> rowRDD = people.map(
new Function<String, Row>() {
public Row call(String record) throws Exception {
String[] fields = record.split(",");
return Row.create(fields[0], fields[1].trim());
return RowFactory.create(fields[0], fields[1].trim());
}
});

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