Java-Spark SQL DataFrame映射函数不起作用

Question

我也在遵循Spark1.3文档。https://spark.apache.org/docs/latest/sql-programming-guide.html#推断-the-schema-using-reflection有一个解决方案吗？

下面是我的测试代码。

   // SQL can be run over RDDs that have been registered as tables.
DataFrame teenagers = sqlContext.sql("SELECT name FROM people WHERE age >= 13 AND age <= 19");

List<String> teenagerNames = teenagers.map(
            new Function<Row, String>() {
          public String call(Row row) {
            return "Name: " + row.getString(0);
          }
        }).collect();

Answer 1

将其更改为：

Java 6和7

List<String> teenagerNames = teenagers.javaRDD().map(
    new Function<Row, String>() {
    public String call(Row row) {
        return "Name: " + row.getString(0);
    }
}).collect();

Java 8

List<String> t2 = teenagers.javaRDD().map(
    row -> "Name: " + row.getString(0)
).collect();