【发布时间】:2020-08-06 13:25:19
【问题描述】:
我正在尝试使用模式转换 json 并将值打印到控制台,但即使我提供了正确的数据,writeStream() 也会在所有列中打印空值。
我提供给 kafka 主题的数据 ..
{"stock":"SEE","buy":12,"sell":15,"profit":3,quantity:27,"loss":0,"gender":"M"}
{"stock":"SEE","buy":12,"sell":15,"profit":3,quantity:27,"loss":0,"gender":"M"}
{"stock":"SEE","buy":12,"sell":15,"profit":3,quantity:27,"loss":0,"gender":"M"}
下面是我的scala代码..
val readStreamDFInd = sparkSession.readStream.format("kafka").option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "IndiaStocks")
.option("startingOffsets", "earliest")
.load()
//readStreamDFInd.printSchema()
val readStreamDFUS = sparkSession.readStream.format("kafka").option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "USStocks")
.option("startingOffsets", "earliest")
.load()
val schema = new StructType()
.add("stock", StringType)
.add("buy", IntegerType)
.add("sell", IntegerType)
.add("profit", IntegerType)
.add("quantity", IntegerType)
.add("loss", IntegerType)
.add("gender", StringType)
val stocksIndia = readStreamDFInd.selectExpr("CAST(value as STRING) as json").select(from_json($"json", schema).as("data")).select("data.*")
val stocksUSA = readStreamDFUS.selectExpr("CAST(value as STRING) as json").select(from_json($"json", schema).as("data")).select("data.*")
stocksIndia.printSchema() stocksUSA.writeStream
.format("console")
.outputMode("append").trigger(Trigger.ProcessingTime("5 seconds"))
.start()
.awaitTermination()
【问题讨论】:
标签: scala apache-spark apache-kafka apache-spark-sql spark-structured-streaming