问题描述
错误:
Cannot resolve overloaded method window
Code
package Stream
import org.apache.spark.sql._
import org.apache.spark.sql.{DataFrame,SaveMode,SparkSession}
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.streaming.Trigger
import org.apache.log4j.{Level,Logger}
import org.apache.spark.SparkContext
import org.apache.spark.sql.types._
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming._
import org.apache.spark.sql.functions.window
object SparkRestApi {
def main(args: Array[String]): Unit = {
val logger = Logger.getLogger("Datapipeline")
Logger.getLogger("org").setLevel(Level.WARN)
Logger.getLogger("akka").setLevel(Level.WARN)
val spark = SparkSession.builder()
.appName("StreamTest")
.config("spark.driver.memory","2g")
.master("local[*]")
//.enableHiveSupport()
.getorCreate()
import spark.implicits._
val userSchema = new StructType()
.add("id","string")
.add("Faulttime","timestamp")
.add("name","string")
.add("Parentgroup","string")
.add("childgroup","string")
.add("MountStyle","string")
val JSONDF = spark
.readStream
.option("header",true)
.option("sep",",")
.schema(userSchema) // Specify schema of the csv files
.json("D:/TEST")
val windowColumn = window($"timestamp","10 minutes","5 minutes")
val df2 = JSONDF.withWatermark("timestamp","1 minutes")
.groupBy("Parentgroup","childgroup","MountStyle",window("timestamp","5 minutes","1 minutes"))
.agg(countdistinct("id"))
df2.
writeStream
.outputMode("Append")
.format("csv")
.option("checkpointLocation","D:/TEST/chkdir")
.option("path","D:/TEST/OutDir")
.option("truncate",false)
.start()
.awaitTermination()
spark.stop()
}
}
非常赞赏所有有价值的建议。 即使添加了所有库,也会引发错误。 ................................................... ................................................... ................................................... ................................................... ................................................... ...........
解决方法
以手册为例:
val windowedCounts = words
.withWatermark("timestamp","10 minutes")
.groupBy(
window($"timestamp","10 minutes","5 minutes"),$"word")
.count()
尝试将您的window子句放在前面,我可能会猜测。并在字段名称示例中使用$。