如何退出SCALA命令界面
看到有人问scala的退出命令是什么，不由想起自己刚学习scala的时候，常常因为找不到退出命令，只能按ctrl+z来退出，感觉很尴尬，当时网上没有这方面的资料（可能是太基础了吧~害羞~）。于是乎就找了官方文档，找到了解决办法，下面分享出来给同样需要的朋友一个参考:
[hadoop@master conf]$ scala
Welcome to Scala 2.11.8 (Java HotSpot(TM) Client VM, Java 1.8.0_40).
Type in expressions for evaluation. Or try :help.
scala> :help
All commands can be abbreviated, e.g., :he instead of :help.
:edit <id>|<line> edit history
:help [command] print this summary or command-specific help
:history [num] show the history (optional num is commands to show)
:h? <string> search the history
:imports [name name ...] show import history, identifying sources of names
:implicits [-v] show the implicits in scope
:javap <path|class> disassemble a file or class name
:line <id>|<line> place line(s) at the end of history
:load <path> interpret lines in a file
:paste [-raw] [path] enter paste mode or paste a file
:power enable power user mode
:quit exit the interpreter
:replay [options] reset the repl and replay all previous commands
:require <path> add a jar to the classpath
:reset [options] reset the repl to its initial state, forgetting all session entries
:save <path> save replayable session to a file
:sh <command line> run a shell command (result is implicitly => List[String])
:settings <options> update compiler options, if possible; see reset
:silent disable/enable automatic printing of results
:type [-v] <expr> display the type of an expression without evaluating it
:kind [-v] <expr> display the kind of expression's type
:warnings show the suppressed warnings from the most recent line which had any
scala> :quit
[hadoop@master conf]$
[hadoop@master conf]$ spark-shell --master local
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
16/11/01 04:13:51 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/11/01 04:13:51 WARN SparkConf: Detected deprecated memory fraction settings: [spark.storage.memoryFraction]. As of Spark 1.6, execution and storage memory management are unified. All memory fractions used in the old model are now deprecated and no longer read. If you wish to use the old memory management, you may explicitly enable `spark.memory.useLegacyMode` (not recommended).
16/11/01 04:13:53 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.
Spark context Web UI available at http://192.168.184.130:4040
Spark context available as 'sc' (master = local, app id = local-1477998832603).
Spark session available as 'spark'.
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.0.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) Client VM, Java 1.8.0_40)
Type in expressions to have them evaluated.
Type :help for more information.
scala> :help
All commands can be abbreviated, e.g., :he instead of :help.
:edit <id>|<line> edit history
:help [command] print this summary or command-specific help
:history [num] show the history (optional num is commands to show)
:h? <string> search the history
:imports [name name ...] show import history, identifying sources of names
:implicits [-v] show the implicits in scope
:javap <path|class> disassemble a file or class name
:line <id>|<line> place line(s) at the end of history
:load <path> interpret lines in a file
:paste [-raw] [path] enter paste mode or paste a file
:power enable power user mode
:quit exit the interpreter
:replay [options] reset the repl and replay all previous commands
:require <path> add a jar to the classpath
:reset [options] reset the repl to its initial state, forgetting all session entries
:save <path> save replayable session to a file
:sh <command line> run a shell command (result is implicitly => List[String])
:settings <options> update compiler options, if possible; see reset
:silent disable/enable automatic printing of results
:type [-v] <expr> display the type of an expression without evaluating it
:kind [-v] <expr> display the kind of expression's type
:warnings show the suppressed warnings from the most recent line which had any
scala> :quit
[hadoop@master conf]$
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