How to create a Row from a List or Array in Spark using java

Question

In Java, I use RowFactory.create() to create a Row:

Row row = RowFactory.create(record.getLong(1), record.getInt(2), record.getString(3));

where "record" is a record from a database, but I cannot know the length of "record" in advance, so I want to use a List or an Array to create the "row". In Scala, I can use Row.fromSeq() to create a Row from a List or an Array, but how can I achieve that in Java?

Answer 1

We often need to create Datasets or Dataframes in real world applications. Here is an example of how to create Rows and Dataset in a Java application:

// initialize first SQLContext
SQLContext sqlContext = ... 
StructType schemata = DataTypes.createStructType(
        new StructField[]{
                createStructField("NAME", StringType, false),
                createStructField("STRING_VALUE", StringType, false),
                createStructField("NUM_VALUE", IntegerType, false),
        });
Row r1 = RowFactory.create("name1", "value1", 1);
Row r2 = RowFactory.create("name2", "value2", 2);
List<Row> rowList = ImmutableList.of(r1, r2);
Dataset<Row> data = sqlContext.createDataFrame(rowList, schemata);

+-----+------------+---------+
| NAME|STRING_VALUE|NUM_VALUE|
+-----+------------+---------+
|name1|      value1|        1|
|name2|      value2|        2|
+-----+------------+---------+

Answer 2

I am not sure if I get your question correctly but you can use the RowFactory to create Row from ArrayList in java.

List<MyData> mlist = new ArrayList<MyData>();
    mlist.add(d1);
    mlist.add(d2);

Row row = RowFactory.create(mlist.toArray());