使用Spark Scala插入時間戳到Cassandra

我正在嘗試讀取包含名稱的文件，並將名稱和時間戳數據一起插入到使用Spark和Scala的cassandra表中。下面是我的代碼使用Spark Scala插入時間戳到Cassandra

case class Names(name:String, auditDate:DateTime) 

def main(args: Array[String]): Unit = { 
    System.setProperty("hadoop.home.dir", "D:\\backup\\lib\\winutils"); 
    val conf = new SparkConf() 
     .set("spark.cassandra.connection.host", "172.16.109.202") 
     //.set("spark.cassandra.connection.host", "192.168.1.17") 
     .setAppName("CassandraLoader") 
     .setMaster("local") 
    var context = new SparkContext(conf) 

    var namesFile = context.textFile("src/main/resources/names.txt") 

    namesFile.map(x=>Names(x,DateTime.now())) 
     .saveToCassandra("practice","names",SomeColumns("name", "insert_date")) 

    }

卡桑德拉表的細節將在下面

CREATE TABLE practice.names (
    name text PRIMARY KEY, 
    insert_date timestamp 
)

當我嘗試執行代碼，我收到以下錯誤

Exception in thread "main" java.lang.IllegalArgumentException: requirement failed: Columns not found in com.sample.practice.Names: [insert_date] 
    at scala.Predef$.require(Predef.scala:233) 
    at com.datastax.spark.connector.mapper.DefaultColumnMapper.columnMapForWriting(DefaultColumnMapper.scala:108) 
    at com.datastax.spark.connector.writer.MappedToGettableDataConverter$$anon$1.<init>(MappedToGettableDataConverter.scala:29) 
    at com.datastax.spark.connector.writer.MappedToGettableDataConverter$.apply(MappedToGettableDataConverter.scala:20) 
    at com.datastax.spark.connector.writer.DefaultRowWriter.<init>(DefaultRowWriter.scala:17) 
    at com.datastax.spark.connector.writer.DefaultRowWriter$$anon$1.rowWriter(DefaultRowWriter.scala:31) 
    at com.datastax.spark.connector.writer.DefaultRowWriter$$anon$1.rowWriter(DefaultRowWriter.scala:29) 
    at com.datastax.spark.connector.writer.TableWriter$.apply(TableWriter.scala:271) 
    at com.datastax.spark.connector.RDDFunctions.saveToCassandra(RDDFunctions.scala:36) 
    at com.sample.practice.CqlInsertDate$.main(CqlInsertDate.scala:30) 
    at com.sample.practice.CqlInsertDate.main(CqlInsertDate.scala) 
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) 
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) 
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
    at java.lang.reflect.Method.invoke(Method.java:498) 
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

當我嘗試打印RDD而不是保存到卡桑德拉，我得到下面的輸出

Names(Frank,2017-01-30T14:03:16.911+05:30) 
Names(Jean,2017-01-30T14:03:17.115+05:30) 
Names(Joe,2017-01-30T14:03:17.116+05:30)

下面是我的SBT文件的詳細信息

version := "1.0" 

scalaVersion := "2.10.6" 

libraryDependencies += "com.datastax.spark" % "spark-cassandra-connector_2.10" % "2.0.0-M3" 

libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "2.0.2" 

libraryDependencies += "org.apache.spark" % "spark-sql_2.10" % "2.0.2" 

libraryDependencies += "org.apache.spark" % "spark-hive_2.10" % "2.0.2"

我使用卡桑德拉2.1。請幫忙。提前致謝。

來源

2017-01-30 mvg

嘗試將您的班級字段更改爲insert_date或反之，表格列以auditDate

來源

2017-01-30 08:51:12 FaigB

它的工作原理。謝謝！ – mvg

使用Spark Scala插入時間戳到Cassandra

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