Praca z Juperem na Windows i Apache Toree Kernel dla kompatybilności Spark

Question

Próbuję zainstalować jądro Apache Toree w celu uzyskania kompatybilności iskrownika i uruchamiam dziwny komunikat środowiskowy. Jest to proces Śledziłem:

1. zainstalować ostatnią wersję Anaconda z Jupyter 4.1.0
2. Run: pip zainstalować --pre toree
3. Uruchom: jupyter toree zainstalować --interpreters = PySpark, SparkR, Scala , SQL

Tylko naprawdę interesuje mnie Scala Kernel, ale zainstalowałem wszystkich tłumaczy. System operacyjny to Windows 7 i nie ma możliwości korzystania z maszyn wirtualnych lub systemu Linux.

Jest to plik kernel.json że zmodyfikowane do wykorzystania cygwin wykonać run.sh skrypt bash:

{ 
    "language": "scala", 
    "display_name": "Apache Toree - Scala", 
    "env": { 
    "__TOREE_SPARK_OPTS__": "", 
    "SPARK_HOME": "C:\\CDH\\spark", 
    "__TOREE_OPTS__": "", 
    "DEFAULT_INTERPRETER": "Scala", 
    "PYTHONPATH": "C:\\CDH\\spark\\python:C:\\CDH\\spark\\python\\lib\\py4j-0.8.2.1-src.zip", 
    "PYTHON_EXEC": "python" 
    }, 
    "argv": [ 
    "C:\\cygwin64\\bin\\mintty.exe","-h","always","/bin/bash","-l","-e","C:\\ProgramData\\jupyter\\kernels\\apache_toree_scala\\bin\\run.sh", 
    "--profile", 
    "{connection_file}" 
    ] 
} 

Kiedy runiczny jupyter, jądro zatrzymuje się z błędem:

TypeError: environment can only contain strings 

The Extended Log:

[E 10:45:56.736 NotebookApp] Failed to run command: 
    ['C:\\cygwin64\\bin\\mintty.exe', '-h', 'always', '/bin/bash', '-l', '-e', 'C:\\ProgramData\\jupyter\\kernels\\apache_toree_scala\\bin\\run.sh', ' 
--profile', 'C:\\Users\\luis\\AppData\\Roaming\\jupyter\\runtime\\kernel-e02cac9b-15de-4c69-a8e5-e5b11919e1bc.json'] 
    with kwargs: 
    {'stdin': -1, 'stdout': None, 'cwd': 'C:\\Users\\luis\\Documents', 'stderr': None, 'env': {'TMP': 'C:\\Users\\luis\\AppData\\Local\\Temp', 'COMPUTERNAME': 'laptop', 'USERDOMAIN': 'HOME', 'SPARK_HOME': u'C:\\CDH\\spark', 'DEFLOGDIR': 'C:\\ProgramData\\McAfee\\DesktopProtection', 'PSMODULEPATH': 'C:\\Windows\\system32\\WindowsPowerShell\\v1.0\\Modules\\', 'COMMONPROGRAMFILES': 'C:\\Program Files\\Common Files', 'PROCESSOR_IDENTIFIER':'Intel64 Family 6 Model 45 Stepping 7, GenuineIntel', u'DEFAULT_INTERPRETER': u'Scala', 'PROGRAMFILES': 'C:\\Program Files', 'PROCESSOR_REVISION': '2d07', 'SYSTEMROOT': 'C:\\Windows', 'PATH': 'C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\Library\\bin;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\Scripts;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\Library\\bin;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\Library\\bin;C:\\Program Files\\Java\\jdk1.7.0_76\\jre\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\;C:\\Program Files (x86)\\sbt\\bin;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\Scripts;C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\Library\\bin', 'PROGRAMFILES(X86)': 'C:\\Program Files (x86)', 'WINDOWS_TRACING_FLAGS': '3', 'TK_LIBRARY': 'C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\tcl\\tk8.5', u'__TOREE_SPARK_OPTS__': u'', 'TEMP': 'C:\\Users\\luis\\AppData\\Local\\Temp', 'COMMONPROGRAMFILES(X86)': 'C:\\Program Files (x86)\\Common Files', 'PROCESSOR_ARCHITECTURE': 'AMD64', 'TIX_LIBRARY': 'C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\tcl\\tix8.4.3', 'ALLUSERSPROFILE': 'C:\\ProgramData', 'LOCALAPPDATA': 'C:\\Users\\luis\\AppData\\Local', 'HOMEPATH': '\\Users\\luis', 'JAVA_HOME': 'C:\\Program Files\\java\\jdk1.7.0_76', 'JPY_INTERRUPT_EVENT': '1056', 'PROGRAMW6432': 'C:\\Program Files', 'USERNAME': 'luis', 'LOGONSERVER': '\\\\S8KROGR2', 'SBT_HOME': 'C:\\Program Files (x86)\\sbt\\', 'JPY_PARENT_PID': '1036', 'PROGRAMDATA': 'C:\\ProgramData', u'PYTHONPATH': u'C:\\CDH\\spark\\python:C:\\CDH\\spark\\python\\lib\\py4j-0.8.2.1-src.zip', 'TCL_LIBRARY': 'C:\\Users\\luis\\AppData\\Local\\Continuum\\Anaconda2\\tcl\\tcl8.5', 'VSEDEFLOGDIR': 'C:\\ProgramData\\McAfee\\DesktopProtection', 'USERDNSDOMAIN': 'HOME.ES', 'SESSIONNAME': 'RDP-Tcp#0', 'PATHEXT': '.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC', u'PYTHON_EXEC': u'python', 'CLIENTNAME': 'laptop2', u'__TOREE_OPTS__': u'', 'FP_NO_HOST_CHECK': 'NO', 'WINDIR': 'C:\\Windows', 'WINDOWS_TRACING_LOGFILE': 'C:\\BVTBin\\Tests\\installpackage\\csilogfile.log', 'HOMEDRIVE': 'C:', 'SYSTEMDRIVE': 'C:', 'COMSPEC': 'C:\\Windows\\system32\\cmd.exe', 'NUMBER_OF_PROCESSORS': '2', 'APPDATA': 'C:\\Users\\luis\\AppData\\Roaming', 'PROCESSOR_LEVEL': '6', 'COMMONPROGRAMW6432': 'C:\\Program Files\\Common Files', 'OS': 'Windows_NT', 'PUBLIC': 'C:\\Users\\Public', 'IPY_INTERRUPT_EVENT': '1056', 'USERPROFILE': 'C:\\Users\\luis'}} 

[E 10:45:56.744 NotebookApp] Unhandled error in API request 
    Traceback (most recent call last): 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\notebook\base\handlers.py", line 457, in wrapper 
     result = yield gen.maybe_future(method(self, *args, **kwargs)) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1008, in run 
     value = future.result() 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\concurrent.py", line 232, in result 
     raise_exc_info(self._exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1014, in run 
     yielded = self.gen.throw(*exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\notebook\services\sessions\handlers.py", line 62, in post 
     kernel_id=kernel_id)) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1008, in run 
     value = future.result() 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\concurrent.py", line 232, in result 
     raise_exc_info(self._exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1014, in run 
     yielded = self.gen.throw(*exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 79, in create_session 
     kernel_name) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1008, in run 
     value = future.result() 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\concurrent.py", line 232, in result 
     raise_exc_info(self._exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1014, in run 
     yielded = self.gen.throw(*exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 92, in start_kernel_for_session 
     self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 1008, in run 
     value = future.result() 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\concurrent.py", line 232, in result 
     raise_exc_info(self._exc_info) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\tornado\gen.py", line 282, in wrapper 
     yielded = next(result) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\notebook\services\kernels\kernelmanager.py", line 87, in start_kernel 
     super(MappingKernelManager, self).start_kernel(**kwargs) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\jupyter_client\multikernelmanager.py", line 110, in start_kernel 
     km.start_kernel(**kwargs) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\jupyter_client\manager.py", line 243, in start_kernel 
     **kw) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\jupyter_client\manager.py", line 189, in _launch_kernel 
     return launch_kernel(kernel_cmd, **kw) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\site-packages\jupyter_client\launcher.py", line 123, in launch_kernel 
     proc = Popen(cmd, **kwargs) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\subprocess.py", line 711, in __init__ 
     errread, errwrite) 
     File "C:\Users\luis\AppData\Local\Continuum\Anaconda2\lib\subprocess.py", line 959, in _execute_child 
     startupinfo) 
    TypeError: environment can only contain strings 
[E 10:45:56.766 NotebookApp] { 
     "Origin": "http://localhost:8888", 
     "Content-Length": "88", 
     "Accept-Language": "es-ES,es;q=0.8", 
     "Accept-Encoding": "gzip, deflate", 
     "Host": "localhost:8888", 
     "Accept": "application/json, text/javascript, */*; q=0.01", 
     "User-Agent": "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36", 
     "Connection": "keep-alive", 
     "X-Requested-With": "XMLHttpRequest", 
     "Referer": "http://localhost:8888/notebooks/Untitled3.ipynb?kernel_name=apache_toree_scala", 
     "Content-Type": "application/json" 
    } 
[E 10:45:56.796 NotebookApp] 500 POST /api/sessions (::1) 626.00ms referer=http://localhost:8888/notebooks/Untitled3.ipynb?kernel_name=apache_toree_sc 
ala 

Ive uruchomić polecenie samodzielnie:

C:\\cygwin64\\bin\\mintty.exe -h always /bin/bash -l -e C:\\ProgramData\\jupyter\\kernels\\apache_toree_scala\\bin\\run.sh 

I działa. Występuje tylko w kontekście wykonania serwera jowezer.

Czy ktoś może uruchomić to jądro na maszynie Window?

Answer 1

Mam ten sam problem przy użyciu Python na Win 10, Anaconda, iskra 2.0.2

To obejście wpadłem na to: stosowanie Conda środowisko przełączania ustawić zmienne środowiskowe zamiast korzystania jupyter do ustawić je

1. klon oddzielnym środowisku Conda (http://conda.pydata.org/docs/using/envs.html#create-an-environment)
2. ustawić zmienne środowisko potrzebne toree (http://conda.pydata.org/docs/using/envs.html#windows)

następnie uruchomić jupyter notebook <root dir of notebooks>

Można było na przemian po prostu ustawić zmienne toree trwale z oknami i opróżnić „env” słownik z kernel.json "env":{}

Chciałem, aby moje zmienne env rozdzielić przy użyciu pyspark

Answer 2

Napisałem własny hacky run.cmd i udało mi się go uruchomić przy użyciu Spark 2.2.0 i toree-assembly-0.2.0.dev1-incubating-SNAPSHOT. Opublikowalem swoje rozwiazanie na TOREE-399 ticket.

Run.cmd:

@echo off 

set PROG_HOME=%~dp0.. 

if not defined SPARK_HOME (
    echo SPARK_HOME must be set to the location of a Spark distribution! 
    exit 1 
) 

REM disable randomized hash for string in Python 3.3+ 
set PYTHONHASHSEED=0 

REM The SPARK_OPTS values during installation are stored in __TOREE_SPARK_OPTS__. This allows values to be specified during 
REM install, but also during runtime. The runtime options take precedence over the install options. 

if not defined SPARK_OPTS (
    set SPARK_OPTS=%__TOREE_SPARK_OPTS__% 
) else (
    if "%SPARK_OPTS%" == "" (
    set SPARK_OPTS=%__TOREE_SPARK_OPTS__% 
) 
) 

if not defined TOREE_OPTS (
    set TOREE_OPTS=%__TOREE_OPTS__% 
) else (
    if "%TOREE_OPTS%" == "" (
    set TOREE_OPTS=%__TOREE_OPTS__% 
) 
) 

echo Starting Spark Kernel with SPARK_HOME=%SPARK_HOME% 

REM This doesn't work because the classpath doesn't get set properly, unless you hardcode it in SPARK_SUBMIT_OPTS using forward slashes or double backslashes, but then you can't use the SPARK_HOME and PROG_HOME variables. 
REM set SPARK_SUBMIT_OPTS=-cp "%SPARK_HOME%\conf\;%SPARK_HOME%\jars\*;%PROG_HOME%\lib\toree-assembly-0.2.0.dev1-incubating-SNAPSHOT.jar" -Dscala.usejavacp=true 
REM set TOREE_COMMAND="%SPARK_HOME%\bin\spark-submit.cmd" %SPARK_OPTS% --class org.apache.toree.Main %PROG_HOME%\lib\toree-assembly-0.2.0.dev1-incubating-SNAPSHOT.jar %TOREE_OPTS% %* 

REM The two important things that we must do differently on Windows are that we must add toree-assembly-0.2.0.dev1-incubating-SNAPSHOT.jar to the classpath, and we must define the java property scala.usejavacp=true. 
set TOREE_COMMAND=%JAVA_HOME%\bin\java -cp "%SPARK_HOME%\conf\;%SPARK_HOME%\jars\*;%PROG_HOME%\lib\toree-assembly-0.2.0.dev1-incubating-SNAPSHOT.jar" -Dscala.usejavacp=true -Xmx1g org.apache.spark.deploy.SparkSubmit %SPARK_OPTS% --class org.apache.toree.Main %PROG_HOME%\lib\toree-assembly-0.2.0.dev1-incubating-SNAPSHOT.jar %TOREE_OPTS% %* 

echo. 
echo %TOREE_COMMAND% 
echo. 

%TOREE_COMMAND% 

• biegu.cmd plik powinien być umieszczony w C: \ ProgramData \ jupyter \ jądra \ apache_toree_scala \ bin \
• Dodatkowo, trzeba edytować kernel.json w folderze powyżej, że aby zmienić run.sh do run.cmd.
• Jeśli chcesz zezwolić na instalowanie dodatkowych jąderek Toree w wersji , powinieneś również edytować plik toreeapp.py, aby zmienić plik run.sh na run.cmd.
• Nie przetestowałem, czy instrukcje IF działają poprawnie. Podejrzewam, że będą się dusić z niektórymi parametrami, ponieważ partia nie ma solidnego polecenia IF.