Python 运行BigDL文本分类器失败

当我使用单节点PySpark运行BigDL（）文本分类器示例（）时，我得到以下错误。有什么办法解决这个问题吗

配置：

爪哇：

Pypark：

dk@dk:~$ pyspark
Python 3.5.3 (default, Jan 19 2017, 14:11:04) 
[GCC 6.3.0 20170118] on linux
Type "help", "copyright", "credits" or "license" for more information.
Using Spark's default log4j profile: org/apache/spark/log4j- defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
18/02/22 22:37:28 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/02/22 22:37:28 WARN Utils: Your hostname, dk resolves to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface enp0s3)
18/02/22 22:37:28 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
18/02/22 22:37:45 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 2.2.1
      /_/

   Using Python version 3.5.3 (default, Jan 19 2017 14:11:04) SparkSession available as 'spark'.
   >>> 

要运行的命令示例：

dk@dk:/usr/local/lib/python3.5/dist-packages/bigdl$ python models/textclassifier/textclassifier.py

错误：

Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
2018-02-22 22:23:23 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2018-02-22 22:23:24 WARN  Utils:66 - Your hostname, dk resolves to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface enp0s3)
2018-02-22 22:23:24 WARN  Utils:66 - Set SPARK_LOCAL_IP if you need to bind to another address
/usr/local/lib/python3.5/dist-packages/bigdl/util/engine.py:41: UserWarning: Find both SPARK_HOME and pyspark. You may need to check whether they match with each other. SPARK_HOME environment variable is set to: /opt/spark, and pyspark is found in: /usr/local/lib/python3.5/dist-packages/pyspark/__init__.py. If they are unmatched, please use one source only to avoid conflict. For example, you can unset SPARK_HOME and use pyspark only.
  warnings.warn(warning_msg)
Prepending /usr/local/lib/python3.5/dist-packages/bigdl/share/conf/spark-bigdl.conf to sys.path
Traceback (most recent call last):
  File "models/textclassifier/textclassifier.py", line 182, in <module>
    redire_spark_logs()
  File "/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py", line 434, in redire_spark_logs
    callBigDlFunc(bigdl_type, "redirectSparkLogs", log_path)
  File "/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py", line 552, in callBigDlFunc
    return callJavaFunc(sc, api, *args)
  File "/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py", line 590, in callJavaFunc
    result = func(*args)
  File "/usr/local/lib/python3.5/dist-packages/py4j/java_gateway.py", line 1133, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/usr/local/lib/python3.5/dist-packages/py4j/protocol.py", line 319, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o28.redirectSparkLogs.
: java.nio.file.AccessDeniedException: /usr/local/lib/python3.5/dist-packages/bigdl/bigdl.log
    at sun.nio.fs.UnixException.translateToIOException(UnixException.java:84)
    at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:102)
    at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:107)
    at sun.nio.fs.UnixFileSystemProvider.newByteChannel(UnixFileSystemProvider.java:214)
    at java.nio.file.Files.newByteChannel(Files.java:361)
    at java.nio.file.Files.createFile(Files.java:632)
    at com.intel.analytics.bigdl.utils.LoggerFilter$.getLogFile$1(LoggerFilter.scala:101)
    at com.intel.analytics.bigdl.utils.LoggerFilter$.redirectSparkInfoLogs(LoggerFilter.scala:111)
    at com.intel.analytics.bigdl.python.api.PythonBigDL.redirectSparkLogs(PythonBigDL.scala:2419)
    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:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:280)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:214)
    at java.lang.Thread.run(Thread.java:748)

将默认日志级别设置为“警告”。
要调整日志记录级别，请使用sc.setLogLevel（newLevel）。对于SparkR，使用setLogLevel（newLevel）。
2018-02-22 22:23:23警告NativeCodeLoader:62-无法为您的平台加载本机hadoop库。。。在适用的情况下使用内置java类
2018-02-22:23:24警告Utils:66-您的主机名dk解析为环回地址：127.0.1.1；改用10.0.2.15（在接口enp0s3上）
2018-02-22:23:24警告Utils:66-如果需要绑定到其他地址，请设置SPARK\u LOCAL\u IP
/usr/local/lib/python3.5/dist-packages/bigdl/util/engine.py:41:UserWarning:Find SPARK_HOME和pyspark。您可能需要检查它们是否相互匹配。SPARK_HOME环境变量设置为：/opt/SPARK，pyspark位于：/usr/local/lib/python3.5/dist-packages/pyspark/uu-init_uuuuu.py中。如果它们不匹配，请仅使用一个源以避免冲突。例如，您可以取消设置SPARK_HOME并仅使用pyspark。
警告。警告（警告信息）
将/usr/local/lib/python3.5/dist-packages/bigdl/share/conf/spark-bigdl.conf前置到sys.path
回溯（最近一次呼叫最后一次）：
文件“models/textclassifier/textclassifier.py”，第182行，在
redire_spark_日志（）
文件“/usr/local/lib/python3.5/dist packages/bigdl/util/common.py”，第434行，在redire\u spark\u日志中
callBigDlFunc（bigdl_类型，“重定向日志”，日志路径）
callBigDlFunc中的文件“/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py”，第552行
返回callJavaFunc（sc、api、*args）
callJavaFunc中的文件“/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py”，第590行
结果=func（*args）
文件“/usr/local/lib/python3.5/dist packages/py4j/java_gateway.py”，第1133行，在__
回答，self.gateway\u客户端，self.target\u id，self.name）
文件“/usr/local/lib/python3.5/dist packages/py4j/protocol.py”，第319行，在get\u return\u值中
格式（目标id，“.”，名称），值）
py4j.protocol.Py4JJavaError:调用o28.logs时出错。
：java.nio.file.AccessDeniedException:/usr/local/lib/python3.5/dist-packages/bigdl/bigdl.log
位于sun.nio.fs.UnixException.translateToIOException（UnixException.java:84）
位于sun.nio.fs.UnixException.rethrowAsIOException（UnixException.java:102）
位于sun.nio.fs.UnixException.rethrowAsIOException（UnixException.java:107）
位于sun.nio.fs.UnixFileSystemProvider.newbytechnel（UnixFileSystemProvider.java:214）
位于java.nio.file.Files.newByteChannel（Files.java:361）
位于java.nio.file.Files.createFile（Files.java:632）
在com.intel.analytics.bigdl.utils.LoggerFilter$.getLogFile$1（LoggerFilter.scala:101）上
在com.intel.analytics.bigdl.utils.LoggerFilter$.redirectSparkInfoLogs上（LoggerFilter.scala:111）
在com.intel.analytics.bigdl.python.api.PythonBigDL.logs上（PythonBigDL.scala:2419）
在sun.reflect.NativeMethodAccessorImpl.invoke0（本机方法）处
位于sun.reflect.NativeMethodAccessorImpl.invoke（NativeMethodAccessorImpl.java:62）
在sun.reflect.DelegatingMethodAccessorImpl.invoke（DelegatingMethodAccessorImpl.java:43）中
位于java.lang.reflect.Method.invoke（Method.java:498）
位于py4j.reflection.MethodInvoker.invoke（MethodInvoker.java:244）
位于py4j.reflection.ReflectionEngine.invoke（ReflectionEngine.java:357）
在py4j.Gateway.invoke处（Gateway.java:280）
位于py4j.commands.AbstractCommand.invokeMethod（AbstractCommand.java:132）
在py4j.commands.CallCommand.execute（CallCommand.java:79）
在py4j.GatewayConnection.run处（GatewayConnection.java:214）
运行（Thread.java:748）

python脚本试图在

/usr/local/lib/python3.5/dist packages/bigdl/bigdl.log

中创建一个

bigdl.log

文件，它是linux中的一个受保护目录，只能通过根访问访问

您可以指定一个日志文件路径，该路径指向类似以下功能的

redire\u spark\u日志（log\u path='/home/bigdl projects'）

。寻找更多细节

Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
2018-02-22 22:23:23 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2018-02-22 22:23:24 WARN  Utils:66 - Your hostname, dk resolves to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface enp0s3)
2018-02-22 22:23:24 WARN  Utils:66 - Set SPARK_LOCAL_IP if you need to bind to another address
/usr/local/lib/python3.5/dist-packages/bigdl/util/engine.py:41: UserWarning: Find both SPARK_HOME and pyspark. You may need to check whether they match with each other. SPARK_HOME environment variable is set to: /opt/spark, and pyspark is found in: /usr/local/lib/python3.5/dist-packages/pyspark/__init__.py. If they are unmatched, please use one source only to avoid conflict. For example, you can unset SPARK_HOME and use pyspark only.
  warnings.warn(warning_msg)
Prepending /usr/local/lib/python3.5/dist-packages/bigdl/share/conf/spark-bigdl.conf to sys.path
Traceback (most recent call last):
  File "models/textclassifier/textclassifier.py", line 182, in <module>
    redire_spark_logs()
  File "/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py", line 434, in redire_spark_logs
    callBigDlFunc(bigdl_type, "redirectSparkLogs", log_path)
  File "/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py", line 552, in callBigDlFunc
    return callJavaFunc(sc, api, *args)
  File "/usr/local/lib/python3.5/dist-packages/bigdl/util/common.py", line 590, in callJavaFunc
    result = func(*args)
  File "/usr/local/lib/python3.5/dist-packages/py4j/java_gateway.py", line 1133, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/usr/local/lib/python3.5/dist-packages/py4j/protocol.py", line 319, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o28.redirectSparkLogs.
: java.nio.file.AccessDeniedException: /usr/local/lib/python3.5/dist-packages/bigdl/bigdl.log
    at sun.nio.fs.UnixException.translateToIOException(UnixException.java:84)
    at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:102)
    at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:107)
    at sun.nio.fs.UnixFileSystemProvider.newByteChannel(UnixFileSystemProvider.java:214)
    at java.nio.file.Files.newByteChannel(Files.java:361)
    at java.nio.file.Files.createFile(Files.java:632)
    at com.intel.analytics.bigdl.utils.LoggerFilter$.getLogFile$1(LoggerFilter.scala:101)
    at com.intel.analytics.bigdl.utils.LoggerFilter$.redirectSparkInfoLogs(LoggerFilter.scala:111)
    at com.intel.analytics.bigdl.python.api.PythonBigDL.redirectSparkLogs(PythonBigDL.scala:2419)
    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:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:280)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:214)
    at java.lang.Thread.run(Thread.java:748)