从文字值创建 DataFrame 和 JavaRDD
Create a DataFrame and JavaRDD from literal values
我正在 Java 中编写一个 Spark 应用程序,我想知道如何从文字值创建 DataFrame and/or JavaRDD。
例如我有 3 个整数,比如 (784512, 35, 40)
对应字段/列 (id, m_count, f_count)
。
您希望SparkContext.parallelize(...)
to create a JavaRDD and SQLContext.createDataFrame(...)
创建一个数据框。
JavaRDD rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
如果您要创建具有三个值的对象的并行列表,那么您需要:
@Test
public void test() {
JavaSparkContext sc = ...
SQLContext sqlContext = new SQLContext(sc);
JavaRDD<Counter> counters = sc.parallelize(Arrays.asList(new Counter(784512, 35, 40)));
DataFrame countersDF = sqlContext.createDataFrame(counters, Counter.class);
System.out.println(counters.collect());
System.out.println(countersDF.collectAsList());
}
public static class Counter implements Serializable{
private final int id;
private final int m_count;
private final int f_count;
Counter(int id, int m_count, int f_count) {
this.id = id;
this.m_count = m_count;
this.f_count = f_count;
}
public String toString() {
return id + " " + m_count + " " + f_count;
}
// getters
}
我正在 Java 中编写一个 Spark 应用程序,我想知道如何从文字值创建 DataFrame and/or JavaRDD。
例如我有 3 个整数,比如 (784512, 35, 40)
对应字段/列 (id, m_count, f_count)
。
您希望SparkContext.parallelize(...)
to create a JavaRDD and SQLContext.createDataFrame(...)
创建一个数据框。
JavaRDD rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
如果您要创建具有三个值的对象的并行列表,那么您需要:
@Test
public void test() {
JavaSparkContext sc = ...
SQLContext sqlContext = new SQLContext(sc);
JavaRDD<Counter> counters = sc.parallelize(Arrays.asList(new Counter(784512, 35, 40)));
DataFrame countersDF = sqlContext.createDataFrame(counters, Counter.class);
System.out.println(counters.collect());
System.out.println(countersDF.collectAsList());
}
public static class Counter implements Serializable{
private final int id;
private final int m_count;
private final int f_count;
Counter(int id, int m_count, int f_count) {
this.id = id;
this.m_count = m_count;
this.f_count = f_count;
}
public String toString() {
return id + " " + m_count + " " + f_count;
}
// getters
}