Zeppelin:找不到livy.spark解释器 [英] Zeppelin: livy.spark interpreter not found

问题描述

Hi there,

我正在按照https://docs.microsoft.com/zh-CN/azure/hdinsight/spark/apache-spark-zeppelin-notebook

I am following the tutorial on https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook

％livy.spark
 //上面的魔法指示齐柏林飞艇使用Livy Scala解释器

 ///使用默认的Spark上下文sc
创建一个RDD   val hvacText = sc.textFile("wasb:///HdiSamples/HdiSamples/SensorSampleData/hvac/HVAC.csv")

 //定义架构
案例类Hvac(日期:字符串，时间:字符串，目标温度:整数，实际温度:整数，建筑物ID:字符串)

 //将.csv文件中的值映射到架构
val hvac = hvacText.map(s => s.split(，")).filter(s => s(0)！=日期").map(
      s =>暖通空调(s(0)， 
              s(1)，
              s(2).toInt，
              s(3).toInt，
              s(6)
     )
 ).toDF()

 //注册为名为"hvac"的临时表
  hvac.registerTempTable("hvac")

%livy.spark
 //The above magic instructs Zeppelin to use the Livy Scala interpreter

 // Create an RDD using the default Spark context, sc
 val hvacText = sc.textFile("wasb:///HdiSamples/HdiSamples/SensorSampleData/hvac/HVAC.csv")

 // Define a schema
 case class Hvac(date: String, time: String, targettemp: Integer, actualtemp: Integer, buildingID: String)

 // Map the values in the .csv file to the schema
 val hvac = hvacText.map(s => s.split(",")).filter(s => s(0) != "Date").map(
     s => Hvac(s(0), 
             s(1),
             s(2).toInt,
             s(3).toInt,
             s(6)
     )
 ).toDF()

 // Register as a temporary table called "hvac"
 hvac.registerTempTable("hvac")

我收到错误消息:

 

在哪里可以找到进一步解决问题的日志?还是我做错了什么?

Where can I find the logs to further troubleshoot? Or what am I doing wrong?

推荐答案

按照错误消息，似乎您选择了不同版本的spark.我建议您选择Spark 2.1.0(HDI 3.6) 版本并尝试.

As per the error message, it appears that you have selected different version of spark. I suggest you select Spark 2.1.0 (HDI 3.6) version and try.

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