错误而出口火花SQL数据帧到csv

Question

我已经提到，为了下面的链接了解如何导出火花SQL数据帧在Python

• https://github.com/databricks/spark-csv
• How to export data from Spark SQL to CSV

我的代码：

我使用spark-submit pas加载作业唱主网址下列罐子

​​

我收到以下错误

df.select('Consigner', 'AverageScore', 'Trips').write.format('com.databricks.spark.csv').options(header='true').save('file:///opt/BIG-DATA/VisualCargo/output/top_consigner.csv') 
     File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 332, in save 
     File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__ 
     File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 36, in deco 
     File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value 
    py4j.protocol.Py4JJavaError: An error occurred while calling o156.save. 


py4j.protocol.Py4JJavaError: An error occurred while calling o156.save. 
    : java.lang.NoSuchMethodError: scala.Predef$.$conforms()Lscala/Predef$$less$colon$less; 
     at com.databricks.spark.csv.util.CompressionCodecs$.<init>(CompressionCodecs.scala:29) 
     at com.databricks.spark.csv.util.CompressionCodecs$.<clinit>(CompressionCodecs.scala) 
     at com.databricks.spark.csv.DefaultSource.createRelation(DefaultSource.scala:198) 
     at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:170) 
     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146) 
     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137) 
     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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) 
     at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) 
     at py4j.Gateway.invoke(Gateway.java:259) 
     at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) 
     at py4j.commands.CallCommand.execute(CallCommand.java:79) 
     at py4j.GatewayConnection.run(GatewayConnection.java:207) 
     at java.lang.Thread.run(Thread.java:745) 

Answer 1

星火版1.5.0-cdh5.5.1是建立与斯卡拉2.10 - 默认斯卡拉版星火< 2.0。你的火花CSV是建立与斯卡拉2.10 - 火花csv_ 2.11 -1.5.0.jar。

请更新spark-csv到Scala 2.10的版本或更新Spark到Scala 2.11。你会知道Scala的版本由数的artifactId后，即火花csv_2.10-1.5.0将成为斯卡拉2.10