com.datastax.spark" %% "spark-cassandra-connector" % "1.6.0-M2", // Third-party libraries "com.github.scopt..." %% "scopt" % "3.4.0" ) 升级到Spark 2.0.0后需要更新软件包版本，于是将sbt构建配置中的依赖部分改为： libraryDependencies ++= Seq( /...com.datastax.spark" %% "spark-cassandra-connector" % "2.0.0-M2", // Third-party libraries "com.github.scopt..." %% "scopt" % "3.4.0" ) 本以为这样修改后重新构建就没问题了。
#这里的变量variable在E中绑定了内存对象200，为函数func()引入了一个新的变量 variable = 100 test_scopt() print variable 有两个...variable变量，对于func函数来说，局部作用域中没有variable变量，所以打印时，在L层找不到，所以进一步在E层找，即在上层函数test_scopt中定义的variable，找到并输出。...示例3 variable = 300 def test_scopt(): print variable #variable是test_scopt()的局部变量，但是在打印时并没有绑定内存对象...before assignment 上面的例子会报出错误，因为在执行程序时的预编译能够在test_scopt()中找到局部变量variable(对variable进行了赋值)。...示例4 variable = 300 def test_scopt(): print variable #没有在局部作用域找到变量名，会升级到嵌套作用域寻找，并引入一个新的变量到局部作用域
-- https://mvnrepository.com/artifact/com.github.scopt/scopt_2.11 --> com.github.scopt scopt_2.11 3.5.0
192.168.1.180:4040 17/08/29 01:27:27 INFO SparkContext: Added JAR file:/opt/spark-2.2.0/examples/jars/scopt..._2.11-3.3.0.jar at spark://192.168.1.180:40549/jars/scopt_2.11-3.3.0.jar with timestamp 1503984447798...0.0 in stage 0.0 (TID 0) 17/08/29 01:27:29 INFO Executor: Fetching spark://192.168.1.180:40549/jars/scopt...(0 ms spent in bootstraps) 17/08/29 01:27:29 INFO Utils: Fetching spark://192.168.1.180:40549/jars/scopt...file:/tmp/spark-058642cb-042f-4960-b7e9-172fc02caff8/userFiles-28264a42-00c6-42cb-8d3f-e4fe670fb272/scopt
/scopt_2.11/3.5.0/scopt_2.11-3.5.0.jar:/Users/huangqingshi/.m2/repository/org/xerial/snappy/snappy-java.../scopt_2.11/3.5.0/scopt_2.11-3.5.0.jar:/Users/huangqingshi/.m2/repository/org/xerial/snappy/snappy-java.../scopt_2.11/3.5.0/scopt_2.11-3.5.0.jar:/Users/huangqingshi/.m2/repository/org/xerial/snappy/snappy-java.../scopt_2.11/3.5.0/scopt_2.11-3.5.0.jar:/Users/huangqingshi/.m2/repository/org/xerial/snappy/snappy-java.../scopt_2.11/3.5.0/scopt_2.11-3.5.0.jar:/Users/huangqingshi/.m2/repository/org/xerial/snappy/snappy-java
所以报错 # y = n + 1 # 更改为y就没事 # return y return n return compute variable = 300 def test_scopt...因为这里，前面调用过一次，所以variable就变为了局部变量 # print(variable) # 写在下面就没问题，因为variable是新的局部变量，而不是重新被定义，却没有绑定 test_scopt
\org\clapper\grizzled-slf4j_2.12\1.3.2\grizzled-slf4j_2.12-1.3.2.jar;E:\Maven\repository\com\github\scopt...\scopt_2.12\3.5.0\scopt_2.12-3.5.0.jar;E:\Maven\repository\com\twitter\chill_2.12\0.7.6\chill_2.12-0.7.6
scala-library-2.9.3.jar │ ├── scalate-core_2.9-1.6.1.jar │ ├── scalate-util_2.9-1.6.1.jar │ ├── scopt
examples/target/scala-2.11/jars/paranamer-2.8.jar /root/tx/spark-all/spark/examples/target/scala-2.11/jars/scopt...jar + for f in '"$DISTDIR"/examples/jars/*' ++ basename /root/tx/spark-all/spark/dist/examples/jars/scopt..._2.11-3.7.0.jar + name=scopt_2.11-3.7.0.jar + '[' -f /root/tx/spark-all/spark/dist/jars/scopt_2.11-3.7.0
auth_pass qwaszx } virtual_ipaddress { #/ brd dev scope <SCOPT
u_int32_t sin6_flowinfo; //流信息，应设置为0 struct in6_addr sin6_addr; //IPv6地址结构体 u_int32_t sin6_scopt
auth_type PASS autp_pass 1234 } virtual_ipaddress { #/ brd dev scope <SCOPT
virtual_ipaddress { #定义虚拟IP(VIP),但ip默认32位子网掩码 #/ brd dev scope <SCOPT
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