Error- spark streaming 打包将全部依赖打进去Invalid signature file digest for Manifest main attributes

spark streaming 打包将全部依赖打进去，运行jar包报错：如下

Exception in thread "main" java.lang.SecurityException: Invalid signature file digest for Manifest main attributes

PS D:\workspace\ideaProject\java\wordcount\out\artifacts\wordcount_jar> spark-submit .\wordcount.jar localhost:9092 test

2019-08-23 15:37:18 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Exception in thread "main" java.lang.SecurityException: Invalid signature file digest for Manifest main attributes
        at sun.security.util.SignatureFiLeverifier.processImpl(SignatureFiLeverifier.java:284)
        at sun.security.util.SignatureFiLeverifier.process(SignatureFiLeverifier.java:238)
        at java.util.jar.JarVerifier.processEntry(JarVerifier.java:316)
        at java.util.jar.JarVerifier.update(JarVerifier.java:228)
        at java.util.jar.JarFile.initializeVerifier(JarFile.java:383)
        at java.util.jar.JarFile.getInputStream(JarFile.java:450)
        at sun.misc.JarIndex.getJarIndex(JarIndex.java:137)
        at sun.misc.URLClasspath$JarLoader$1.run(URLClasspath.java:839)
        at sun.misc.URLClasspath$JarLoader$1.run(URLClasspath.java:831)
        at java.security.AccessController.doPrivileged(Native Method)
        at sun.misc.URLClasspath$JarLoader.ensureOpen(URLClasspath.java:830)
        at sun.misc.URLClasspath$JarLoader.<init>(URLClasspath.java:803)
        at sun.misc.URLClasspath$3.run(URLClasspath.java:530)
        at sun.misc.URLClasspath$3.run(URLClasspath.java:520)
        at java.security.AccessController.doPrivileged(Native Method)
        at sun.misc.URLClasspath.getLoader(URLClasspath.java:519)
        at sun.misc.URLClasspath.getLoader(URLClasspath.java:492)
        at sun.misc.URLClasspath.getNextLoader(URLClasspath.java:457)
        at sun.misc.URLClasspath.getResource(URLClasspath.java:211)
        at java.net.urlclassloader$1.run(urlclassloader.java:365)
        at java.net.urlclassloader$1.run(urlclassloader.java:362)
        at java.security.AccessController.doPrivileged(Native Method)
        at java.net.urlclassloader.findClass(urlclassloader.java:361)
        at java.lang.classLoader.loadClass(ClassLoader.java:424)
        at java.lang.classLoader.loadClass(ClassLoader.java:357)
        at java.lang.class.forName0(Native Method)
        at java.lang.class.forName(Class.java:348)
        at org.apache.spark.util.Utils$.classForName(Utils.scala:239)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:851)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

　解决方式：只将有需要的包打进去，因为spark的lib下已经有很多jar包，不需要我们重复打进jar包，只需要把lib没有的jar包打进去运行就好。因为包的重复引用会导致生成多个MF文件