我正在努力将JavaRDD(字符串是JSON字符串)转换为数据帧并显示它.我正在做类似下面的事情,
public void call(JavaRDD<String> rdd, Time time) throws Exception {
if (rdd.count() > 0) {
JavaRDD<String> filteredRDD = rdd.filter(x -> x.length()>0);
sqlContext = SQLContextSingleton.getInstance(filteredRDD.context());
DataFrame df = sqlContext.read().schema(SchemaBuilder.buildSchema()).json(filteredRDD);
df.show();
}
}
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架构如下所示,
public static StructType buildSchema() {
StructType schema = new StructType(
new StructField[] { DataTypes.createStructField("student_id", DataTypes.StringType, false),
DataTypes.createStructField("school_id", DataTypes.IntegerType, false),
DataTypes.createStructField("teacher", DataTypes.StringType, true),
DataTypes.createStructField("rank", DataTypes.StringType, true),
DataTypes.createStructField("created", DataTypes.TimestampType, true),
DataTypes.createStructField("created_user", DataTypes.StringType, true),
DataTypes.createStructField("notes", DataTypes.StringType, true),
DataTypes.createStructField("additional_data", DataTypes.StringType, true),
DataTypes.createStructField("datetime", DataTypes.TimestampType, true) });
return (schema);
}
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上面的代码回复了我,
|student_id|school_id|teacher|rank|created|created_user|notes|additional_data|datetime|
+----------+------+--------+-----+-----------+-------+------------+--------+-------------+-----+-------------------+---------+---------------+--------+----+-------+-----------+
| …Run Code Online (Sandbox Code Playgroud) java apache-spark spark-streaming apache-spark-sql spark-dataframe