我的结构化Spark Streaming程序是从Kafka读取JSON数据 并以JSON格式写入HDFS。我可以将JSON保存到HDFS,但是 它将JSON字符串保存为:
"jsontostructs(CAST(value AS STRING))"
key as below: {"jsontostructs(CAST(value AS STRING))":{"age":42,"name":"John"}}.
仅保存方式
{"age":42,"name":"John"}?
StructType schema = kafkaPrimerRow.schema();
//Read json from kafka. JSON is: {"age":42,"name":"John"}
Dataset<Row> df = spark
.readStream()
.format("kafka")
.option("kafka.bootstrap.servers", input_bootstrap_server)
.option("subscribe", topics[0])
.load();
//Save Stream to HDFS
StreamingQuery ds = df
.select(functions.from_json(col("value").cast(DataTypes.StringType),schema))
.writeStream()
.format("json")
.outputMode(OutputMode.Append())
.option("path", destPath)
.option("checkpointLocation", checkpoint)
.start();
答案 0 :(得分:0)
以下.select(“ data。*”)可以达到目的。
StreamingQuery ds = df
.select(functions.from_json(col("value").cast(DataTypes.StringType),schema).as("data"))
.select("data.*")
.writeStream()
.format("json")
.outputMode(OutputMode.Append())
.option("path", destPath)
.option("checkpointLocation", checkpoint)
.start();