Terminal initialization failed; falling back to unsupported

hive运行遇到报错：

      

<span style="font-size:18px;">Logging initialized using configuration in jar:file:/hive/apache-hive-1.1.0-bin/lib/hive-common-1.1.0.jar!/hive-log4j.properties
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/hadoop-2.5.2/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/hive/apache-hive-1.1.0-bin/lib/hive-jdbc-1.1.0-standalone.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
[ERROR] Terminal initialization failed; falling back to unsupported
java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected
        at jline.TerminalFactory.create(TerminalFactory.java:101)
        at jline.TerminalFactory.get(TerminalFactory.java:158)
        at jline.console.ConsoleReader.<init>(ConsoleReader.java:229)
        at jline.console.ConsoleReader.<init>(ConsoleReader.java:221)
        at jline.console.ConsoleReader.<init>(ConsoleReader.java:209)
        at org.apache.hadoop.hive.cli.CliDriver.getConsoleReader(CliDriver.java:773)
        at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:715)
        at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
        at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:615)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:212)</span>

原因是hadoop目录下存在老版本jline：

 

解决方法是：

将hive下的新版本jline的JAR包拷贝到hadoop下：

cp /hive/lib/jlinejar /hadoop/share/hadoop/yarn/lib

 

再输入

hive

OK,成功。