Question

我已经通过

在python独立模式下成功加载了spark-csv库

$ --packages com.databricks:spark-csv_2.10:1.4.0

Running the above command

运行上述命令时，它会在此位置创建两个文件夹（jar和缓存）

C:\Users\Mahima\.ivy2

里面有两个文件夹。其中一个包含这些jar文件 - org.apache.commons_commons-csv-1.1.jar，com.univocity_univocity-parsers-1.5.1.jar，com.databricks_spark-csv_2.10-1.4.0.jar

我想在PyCharm（Windows 10）中加载这个库，它已经设置为运行Spark程序。所以我将.ivy2文件夹添加到项目解释器路径。主要是我得到的错误是：

An error occurred while calling o22.load.
: java.lang.ClassNotFoundException: Failed to find data source: com.databricks.spark.csv. Please find packages at http://spark-packages.org

完整错误日志如下：

16/06/27 12:54:02 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Traceback (most recent call last):
 File "C:/Users/Mahima/PycharmProjects/wordCount/wordCount.py", line 10, in <module>
df = sqlContext.read.format('com.databricks.spark.csv').options(header='true').load('flight.csv')
File "C:\spark-1.6.1-bin-hadoop2.4\python\pyspark\sql\readwriter.py", line 137, in load
return self._df(self._jreader.load(path))
File "C:\spark-1.6.1-bin-hadoop2.4\python\lib\py4j-0.9-src.zip\py4j\java_gateway.py", line 813, in __call__
File "C:\spark-1.6.1-bin-hadoop2.4\python\pyspark\sql\utils.py", line 45, in deco
return f(*a, **kw)
File "C:\spark-1.6.1-bin-hadoop2.4\python\lib\py4j-0.9-src.zip\py4j\protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o22.load.
: java.lang.ClassNotFoundException: Failed to find data source: com.databricks.spark.csv. Please find packages at http://spark-packages.org
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:77)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:102)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:109)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
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:209)
at java.lang.Thread.run(Unknown Source)
Caused by: java.lang.ClassNotFoundException: com.databricks.spark.csv.DefaultSource
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4$$anonfun$apply$1.apply(ResolvedDataSource.scala:62)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4$$anonfun$apply$1.apply(ResolvedDataSource.scala:62)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4.apply(ResolvedDataSource.scala:62)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$4.apply(ResolvedDataSource.scala:62)
at scala.util.Try.orElse(Try.scala:82)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.lookupDataSource(ResolvedDataSource.scala:62)
... 14 more


Process finished with exit code 1

我已经将jar添加到项目解释器路径中。我哪里错了？请提出一些解决方案。提前致谢

Answer 1

解决方案是添加一个名为“PYSPARK_SUBMIT_ARGS”的环境变量，并将其值设置为“--packages com.databricks：spark-csv_2.10：1.4.0 pyspark-shell”。它会正常工作。

Answer 2

sqlContext.read.format（＆＃39; com.databricks.spark.csv＆＃39;）在您对其执行适当的命令之前，并不保证软件包实际已安装。实际上是命令
```
sqlContext.read.format('com.dummy.csv') 
```

不会返回任何错误

您可以将包添加到您的spark上下文

sc.addPyFile("com.databricks_spark-csv_2.10-1.4.0.jar")

您可以在一行中打开一个csv文件而不需要包

sc.textFile("file.csv").map(lambda line: line.split(",")).toDF

在PyCharm IDE中添加spark-csv包

2 个答案: