conf = SparkConf().setAppName("PySpark").setMaster("local")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)

file = sqlContext.read.json(json_file_path)
file.show()

输出：

+--------------------+--------------------+
|                data|              schema|
+--------------------+--------------------+
|[[The battery is ...|[[[index, integer...|
+--------------------+--------------------+

如何使用自己创建的模式提取数据。我的架构代码是：

from pyspark.sql.types import ArrayType, StructField, StructType, StringType, IntegerType
schema = StructType([
    StructField('index', IntegerType(), True),
    StructField('content', StringType(), True),
    StructField('label', IntegerType(), True),
    StructField('label_1', StringType(), True ),
    StructField('label_2', StringType(), True ),
    StructField('label_3', IntegerType(), True ),
    StructField('label_4', IntegerType(), True )])

我试过：

file.withColumn("data", from_json("data", schema))\
    .show()

但我收到以下错误：

cannot resolve 'from_json(`data`)' due to data type mismatch: argument 1 requires string type, however, '`data`' is of array<struct<content:string,index:bigint,label:bigint,label_1:string,label_2:string,label_3:double,label_4:timestamp>> type.;;