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我正在使用 flask-appbuilder 来构建一个应用程序。为了提交一个表单来执行ddl，我在startJVM()的时候给jpype添加了一个jar文件，但是java总是崩溃。下面是我的代码：

import jaydebeapi
from flask import flash

def execute_ddl(dic):
    def set_up_conn(dic):
        conn = jaydebeapi.connect(jclassname=dic['jclass'],
                              url=dic['url'],
                              driver_args=[dic['driver_name'], 
                              dic['driver_params']],
                              jars=dic['jars'])
        curs = conn.cursor()
        curs.execute(dic['ddl'])
        output = curs.fetchall()
        print(output)
        curs.close()
        conn.close()
    try:
        import jpype
        if not jpype.isJVMStarted():
            jvmPath = jpype.getDefaultJVMPath()
            flash(str(jvmPath), 'info')
            jpype.startJVM(jvmPath, "-ea", "-Djava.class.path=/lib/uber-hive-jdbc-1.2.1.jar")

        if not jpype.isThreadAttachedToJVM():
            jpype.attachThreadToJVM()
            jpype.java.lang.Thread.currentThread().\
         setContextClassLoader(jpype.java.lang.ClassLoader.getSystemClassLoader())
        set_up_conn(dic)
        # post process form
        flash('{} is submitted!'.format(dic['ddl']), 'info')
    except Exception as e:
        flash(str(e), 'info')

这是崩溃错误，我尝试了“ulimit -c unlimited”但没有运气。

# A fatal error has been detected by the Java Runtime Environment:
#  
#  SIGSEGV (0xb) at pc=0x00007fce15f978b9, pid=12, tid=0x00007fce0f7fe700
#
# JRE version: OpenJDK Runtime Environment (8.0_181-b13) (build 1.8.0_181-8u181-b13-2~deb9u1-b13)
# Java VM: OpenJDK 64-Bit Server VM (25.181-b13 mixed mode linux-amd64 compressed oops)
# Problematic frame:
# C  [_jpype.cpython-37m-x86_64-linux-gnu.so+0x3f8b9]  
JPJavaEnv::NewLocalRef(_jobject*)+0x9
#
# Failed to write core dump. Core dumps have been disabled. To enable core dumping, try "ulimit -c unlimited" before starting Java again
#
# An error report file with more information is saved as:
# //hs_err_pid12.log
#
# If you would like to submit a bug report, please visit:
#   http://bugreport.java.com/bugreport/crash.jsp
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1 回答 1

0

我用的multi_threading就是这个原因。

Jaydebeapi 使用 jpype 来启动 JVM。您需要jpype.attachThreadToJVM()在线程主体中使用以使 JVM 可以从该线程中使用。您可以使用jpype.isThreadAttachedToJVM()它来检查它是否已连接。

于 2019-03-28T04:00:18.297 回答