diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala index f099940800cc0367c36ad8e2655de4d0d0517ed6..1bd4e26fb3162cb9de1b89d6e29b2224f256e202 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala @@ -476,6 +476,20 @@ class SQLContext(@transient val sparkContext: SparkContext) createDataFrame(rowRDD.rdd, schema) } + /** + * :: DeveloperApi :: + * Creates a [[DataFrame]] from an [[java.util.List]] containing [[Row]]s using the given schema. + * It is important to make sure that the structure of every [[Row]] of the provided List matches + * the provided schema. Otherwise, there will be runtime exception. + * + * @group dataframes + * @since 1.6.0 + */ + @DeveloperApi + def createDataFrame(rows: java.util.List[Row], schema: StructType): DataFrame = { + DataFrame(self, LocalRelation.fromExternalRows(schema.toAttributes, rows.asScala)) + } + /** * Applies a schema to an RDD of Java Beans. * diff --git a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java index 5f9abd4999ce03581fd2aef5778b01eb6281dfc5..250ac2e1092d4b0c96e416a6962d4630177e12e4 100644 --- a/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java +++ b/sql/core/src/test/java/test/org/apache/spark/sql/JavaDataFrameSuite.java @@ -37,6 +37,7 @@ import org.apache.spark.sql.*; import static org.apache.spark.sql.functions.*; import org.apache.spark.sql.test.TestSQLContext; import org.apache.spark.sql.types.*; +import static org.apache.spark.sql.types.DataTypes.*; public class JavaDataFrameSuite { private transient JavaSparkContext jsc; @@ -181,6 +182,15 @@ public class JavaDataFrameSuite { } } + @Test + public void testCreateDataFromFromList() { + StructType schema = createStructType(Arrays.asList(createStructField("i", IntegerType, true))); + List<Row> rows = Arrays.asList(RowFactory.create(0)); + DataFrame df = context.createDataFrame(rows, schema); + Row[] result = df.collect(); + Assert.assertEquals(1, result.length); + } + private static final Comparator<Row> crosstabRowComparator = new Comparator<Row>() { @Override public int compare(Row row1, Row row2) {