NameNode和SecondaryNameNode工作原理剖析
作者：尹正杰
版权声明：原创作品，谢绝转载！否则将追究法律责任。
一.NameNode中的元数据是存储在那里的？
1>.首先，我们做个假设，如果存储在NameNode节点的磁盘中，因为经常需要进行随机访问，还有响应客户请求，必然是效率过低。因此，元数据需要存放在内存中。但如果只存在内存中，一旦断电，元数据丢失，整个集群就无法工作了。因此产生在磁盘中备份元数据的FsImage。
2>.这样又会带来新的问题，当在内存中的元数据更新时，如果同时更新FsImage，就会导致效率过低，但如果不更新，就会发生一致性问题，一旦NameNode节点断电，就会产生数据丢失。因此，引入Edits文件(只进行追加操作，效率很高)。每当元数据有更新或者添加元数据时，修改内存中的元数据并追加到Edits中。这样，一旦NameNode节点断电，可以通过FsImage和Edits的合并，合成元数据。
3>.但是，如果长时间添加数据到Edits中，会导致该文件数据过大，效率降低，而且一旦断电，恢复元数据需要的时间过长。因此，需要定期进行FsImage和Edits的合并，如果这个操作由NameNode节点完成，又会效率过低。因此，引入一个新的节点SecondaryNamenode，专门用于FsImage和Edits的合并。
二.NameNode和SecondaryNameNode工作原理
1>.NameNode和SecondaryNameNode工作机制简介
第一阶段：NameNode启动
1>.第一次启动NameNode格式化后，创建Fsimage和Edits文件。如果不是第一次启动，直接加载编辑日志和镜像文件到内存。
2>.客户端对元数据进行增删改的请求。
3>.NameNode记录操作日志，更新滚动日志。
4>.NameNode在内存中对数据进行增删改。 第二阶段：Secondary NameNode工作
1>.Secondary NameNode询问NameNode是否需要CheckPoint。直接带回NameNode是否检查结果。
2>.Secondary NameNode请求执行CheckPoint。
3>.NameNode滚动正在写的Edits日志。
4>.将滚动前的编辑日志和镜像文件拷贝到Secondary NameNode。
5>.Secondary NameNode加载编辑日志和镜像文件到内存，并合并。
6>.生成新的镜像文件fsimage.chkpoint。
7>.拷贝fsimage.chkpoint到NameNode。
8>.NameNode将fsimage.chkpoint重新命名成fsimage。
2>.NameNode和SecondaryNameNode工作机制详解
Fsimage：
NameNode内存中元数据序列化后形成的文件。
Edits：
记录客户端更新元数据信息的每一步操作（可通过Edits运算出元数据）。 如果看懂上图的小伙伴，这段文字可以跳过，如果没有看明白那么就得仔细阅读下段文字啦：
1>.NameNode启动时，先滚动Edits并生成一个空的edits.inprogress，然后加载Edits和Fsimage到内存中，此时NameNode内存就持有最新的元数据信息。
2>.Client开始对NameNode发送元数据的增删改的请求，这些请求的操作首先会被记录到edits.inprogress中（查询元数据的操作不会被记录在Edits中，因为查询操作不会更改元数据信息），如果此时NameNode挂掉，重启后会从Edits中读取元数据的信息。然后，NameNode会在内存中执行元数据的增删改的操作。
3>.由于Edits中记录的操作会越来越多，Edits文件会越来越大，导致NameNode在启动加载Edits时会很慢，所以需要对Edits和Fsimage进行合并（所谓合并，就是将Edits和Fsimage加载到内存中，照着Edits中的操作一步步执行，最终形成新的Fsimage）。
4>.SecondaryNameNode的作用就是帮助NameNode进行Edits和Fsimage的合并工作。
5>.SecondaryNameNode首先会询问NameNode是否需要CheckPoint（触发CheckPoint需要满足两个条件中的任意一个，定时时间到和Edits中数据写满了）。直接带回NameNode是否检查结果。
6>.SecondaryNameNode执行CheckPoint操作，首先会让NameNode滚动Edits并生成一个空的edits.inprogress，滚动Edits的目的是给Edits打个标记，以后所有新的操作都写入edits.inprogress，其他未合并的Edits和Fsimage会拷贝到SecondaryNameNode的本地，然后将拷贝的Edits和Fsimage加载到内存中进行合并，生成fsimage.chkpoint，然后将fsimage.chkpoint拷贝给NameNode，重命名为Fsimage后替换掉原来的Fsimage。
7>.NameNode在启动时就只需要加载之前未合并的Edits和Fsimage即可，因为合并过的Edits中的元数据信息已经被记录在Fsimage中。
关于Hadoop完全分布式部署可参考：Apache Hadoop 2.9.2 完全分布式部署（HDFS）。
3>.chkpoint检查时间参数设置
[hdfs-default.xml] <configuration>
.....
<property>
<name>dfs.namenode.checkpoint.period</name>
<value></value>
</property>
.....
</configuration>
通常情况下，SecondaryNameNode每隔一小时执行一次
<property>
<name>dfs.namenode.checkpoint.txns</name>
<value></value>
<description>操作动作次数</description>
</property> <property>
<name>dfs.namenode.checkpoint.check.period</name>
<value></value>
<description> 1分钟检查一次操作次数</description>
</property>
默认一分钟检查一次操作次数，当操作次数达到1百万时，SecondaryNameNode执行一次。
三.Fsimage和Edits解析
1>.Fsimage和Edits概念
NameNode被格式化之后，将在我们定义的数据目录中（"${hadoop.tmp.dir}/dfs/name/current/"）产生如下图所示文件：
一.Fsimage文件
HDFS文件系统元数据的一个永久性的检查点，其中包含HDFS文件系统的所有目录和文件inode的序列化信息。 二.Edits文件
存放HDFS文件系统的所有更新操作的路径，文件系统客户端执行的所有写操作首先会被记录到Edits文件中。 三.seen_txid文件
文件保存的是一个数字，就是最后一个edits_的数字。 四.VERSION
记录着集群的版本号，包括存储id，集群id，ctime属性，datanodeuuuid，存储类型等内容。别着急，下面关于NameNode版本号会对该文件的内容进行详细的解释！ 温馨提示：
每次NameNode启动的时候都会将Fsimage文件读入内存，加载Edits里面的更新操作，保证内存中的元数据是最新的，同步的，可以看成NameNoede启动的时候将Fsimage和Edits文件进行了合并操作。
但是当格式化NameNode后，如果之前有数据，那么对不起，之前的所有数据丢面临丢失的问题，格式化后第一次启动是不加在编辑日志的，我们可以在NameNode的Web UI中查到相应的记录信息！
2>.使用oiv命令查看镜像（fsimage）文件
[root@node101.yinzhengjie.org.cn ~]# hdfs oiv
Usage: bin/hdfs oiv [OPTIONS] -i INPUTFILE -o OUTPUTFILE
Offline Image Viewer
View a Hadoop fsimage INPUTFILE using the specified PROCESSOR,
saving the results in OUTPUTFILE. The oiv utility will attempt to parse correctly formed image files
and will abort fail with mal-formed image files. The tool works offline and does not require a running cluster in
order to process an image file. The following image processors are available:
* XML: This processor creates an XML document with all elements of
the fsimage enumerated, suitable for further analysis by XML
tools.
* ReverseXML: This processor takes an XML file and creates a
binary fsimage containing the same elements.
* FileDistribution: This processor analyzes the file size
distribution in the image.
-maxSize specifies the range [, maxSize] of file sizes to be
analyzed (128GB by default).
-step defines the granularity of the distribution. (2MB by default)
-format formats the output result in a human-readable fashion
rather than a number of bytes. (false by default)
* Web: Run a viewer to expose read-only WebHDFS API.
-addr specifies the address to listen. (localhost: by default)
* Delimited (experimental): Generate a text file with all of the elements common
to both inodes and inodes-under-construction, separated by a
delimiter. The default delimiter is \t, though this may be
changed via the -delimiter argument. Required command line arguments:
-i,--inputFile <arg> FSImage or XML file to process. Optional command line arguments:
-o,--outputFile <arg> Name of output file. If the specified
file exists, it will be overwritten.
(output to stdout by default)
If the input file was an XML file, we
will also create an <outputFile>.md5 file.
-p,--processor <arg> Select which type of processor to apply
against image file. (XML|FileDistribution|
ReverseXML|Web|Delimited)
The default is Web.
-delimiter <arg> Delimiting string to use with Delimited processor.
-t,--temp <arg> Use temporary dir to cache intermediate result to generate
Delimited outputs. If not set, Delimited processor constructs
the namespace in memory before outputting text.
-h,--help Display usage information and exit [root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs oiv #查看oiv命令的帮助信息
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000007-
-rw-r--r--. root root Apr : edits_0000000000000000009-
-rw-r--r--. root root Apr : edits_0000000000000000011-
-rw-r--r--. root root Apr : edits_0000000000000000013-
-rw-r--r--. root root Apr : edits_0000000000000000015-
-rw-r--r--. root root Apr : edits_0000000000000000017-
-rw-r--r--. root root Apr : edits_0000000000000000019-
-rw-r--r--. root root Apr : edits_0000000000000000021-
-rw-r--r--. root root Apr : edits_0000000000000000023-
-rw-r--r--. root root Apr : edits_0000000000000000025-
-rw-r--r--. root root Apr : edits_0000000000000000027-
-rw-r--r--. root root Apr : edits_0000000000000000029-
-rw-r--r--. root root Apr : edits_0000000000000000031-
-rw-r--r--. root root Apr : edits_0000000000000000033-
-rw-r--r--. root root Apr : edits_0000000000000000035-
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000037
-rw-r--r--. root root Apr : fsimage_0000000000000000034
-rw-r--r--. root root Apr : fsimage_0000000000000000034.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000036
-rw-r--r--. root root Apr : fsimage_0000000000000000036.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
[root@node101.yinzhengjie.org.cn ~]# ll
total
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs oiv -p XML -i /data/hadoop/hdfs/dfs/name/current/fsimage_0000000000000000036 -o ./fsimage.xml
// :: INFO offlineImageViewer.FSImageHandler: Loading strings
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll
total
-rw-r--r--. root root Apr : fsimage.xml
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs oiv -p XML -i /data/hadoop/hdfs/dfs/name/current/fsimage_0000000000000000036 -o ./fsimage.xml
[root@node101.yinzhengjie.org.cn ~]# cat fsimage.xml
<?xml version="1.0"?>
<fsimage><version><layoutVersion>-</layoutVersion><onDiskVersion></onDiskVersion><oivRevision>826afbeae31ca687bc2f8471dc841b66ed2c6704</oivRevision></version>
<NameSection><namespaceId></namespaceId><genstampV1></genstampV1><genstampV2></genstampV2><genstampV1Limit></genstampV1Limit><lastAllocatedBlockId></lastAllocatedBlockId><txid></txid></NameSection>
<INodeSection><lastInodeId></lastInodeId><numInodes></numInodes><inode><id></id><type>DIRECTORY</type><name></name><mtime></mtime><permission>root:supergroup:</permission><nsquota></nsquota><dsquota>-</dsquota></inode>
</INodeSection>
<INodeReferenceSection></INodeReferenceSection><SnapshotSection><snapshotCounter></snapshotCounter><numSnapshots></numSnapshots></SnapshotSection>
<INodeDirectorySection></INodeDirectorySection>
<FileUnderConstructionSection></FileUnderConstructionSection>
<SecretManagerSection><currentId></currentId><tokenSequenceNumber></tokenSequenceNumber><numDelegationKeys></numDelegationKeys><numTokens></numTokens></SecretManagerSection><CacheManagerSection><nextDirectiveId></nextDirectiveId><numDirectives></numDirectives><numPools></numPools></CacheManagerSection>
</fsimage>
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# sz fsimage.xml #我们发现在Linux上直接查看的话可读性太差啦！我们可以下载下来它并使用开发工具将其打开，使用Eclise或者Idea进行格式化一下就OK
rz Starting zmodem transfer. Press Ctrl+C to cancel. Transferring fsimage.xml... % KB KB/sec :: Errors
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# sz fsimage.xml #我们发现在Linux上直接查看的话可读性太差啦！我们可以下载下来它并使用开发工具将其打开，使用Eclise或者Idea进行格式化一下就OK
3>.使用oev查看edits文件
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000007-
-rw-r--r--. root root Apr : edits_0000000000000000009-
-rw-r--r--. root root Apr : edits_0000000000000000011-
-rw-r--r--. root root Apr : edits_0000000000000000013-
-rw-r--r--. root root Apr : edits_0000000000000000015-
-rw-r--r--. root root Apr : edits_0000000000000000017-
-rw-r--r--. root root Apr : edits_0000000000000000019-
-rw-r--r--. root root Apr : edits_0000000000000000021-
-rw-r--r--. root root Apr : edits_0000000000000000023-
-rw-r--r--. root root Apr : edits_0000000000000000025-
-rw-r--r--. root root Apr : edits_0000000000000000027-
-rw-r--r--. root root Apr : edits_0000000000000000029-
-rw-r--r--. root root Apr : edits_0000000000000000031-
-rw-r--r--. root root Apr : edits_0000000000000000033-
-rw-r--r--. root root Apr : edits_0000000000000000035-
-rw-r--r--. root root Apr : edits_0000000000000000037-
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000039
-rw-r--r--. root root Apr : fsimage_0000000000000000036
-rw-r--r--. root root Apr : fsimage_0000000000000000036.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000038
-rw-r--r--. root root Apr : fsimage_0000000000000000038.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
[root@node101.yinzhengjie.org.cn ~]# hdfs oev
Usage: bin/hdfs oev [OPTIONS] -i INPUT_FILE -o OUTPUT_FILE
Offline edits viewer
Parse a Hadoop edits log file INPUT_FILE and save results
in OUTPUT_FILE.
Required command line arguments:
-i,--inputFile <arg> edits file to process, xml (case
insensitive) extension means XML format,
any other filename means binary format.
XML/Binary format input file is not allowed
to be processed by the same type processor.
-o,--outputFile <arg> Name of output file. If the specified
file exists, it will be overwritten,
format of the file is determined
by -p option Optional command line arguments:
-p,--processor <arg> Select which type of processor to apply
against image file, currently supported
processors are: binary (native binary format
that Hadoop uses), xml (default, XML
format), stats (prints statistics about
edits file)
-h,--help Display usage information and exit
-f,--fix-txids Renumber the transaction IDs in the input,
so that there are no gaps or invalid
transaction IDs.
-r,--recover When reading binary edit logs, use recovery
mode. This will give you the chance to skip
corrupt parts of the edit log.
-v,--verbose More verbose output, prints the input and
output filenames, for processors that write
to a file, also output to screen. On large
image files this will dramatically increase
processing time (default is false). Generic options supported are:
-conf <configuration file> specify an application configuration file
-D <property=value> define a value for a given property
-fs <file:///|hdfs://namenode:port> specify default filesystem URL to use, overrides 'fs.defaultFS' property from configurations.
-jt <local|resourcemanager:port> specify a ResourceManager
-files <file1,...> specify a comma-separated list of files to be copied to the map reduce cluster
-libjars <jar1,...> specify a comma-separated list of jar files to be included in the classpath
-archives <archive1,...> specify a comma-separated list of archives to be unarchived on the compute machines The general command line syntax is:
command [genericOptions] [commandOptions] [root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs oev #查看oev的使用方法
[root@node101.yinzhengjie.org.cn ~]# ll
total
-rw-r--r--. root root Apr : fsimage.xml
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs oev -p XML -i /data/hadoop/hdfs/dfs/name/current/edits_inprogress_0000000000000000039 -o ./edits.xml
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll
total
-rw-r--r--. root root Apr : edits.xml
-rw-r--r--. root root Apr : fsimage.xml
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs oev -p XML -i /data/hadoop/hdfs/dfs/name/current/edits_inprogress_0000000000000000039 -o ./edits.xml #我们下载正在写的编辑日志文件
[root@node101.yinzhengjie.org.cn ~]# cat edits.xml
<?xml version="1.0" encoding="UTF-8"?>
<EDITS>
<EDITS_VERSION>-</EDITS_VERSION>
<RECORD>
<OPCODE>OP_START_LOG_SEGMENT</OPCODE>
<DATA>
<TXID></TXID>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_MKDIR</OPCODE>
<DATA>
<TXID></TXID>
<LENGTH></LENGTH>
<INODEID></INODEID>
<PATH>/yinzhengjie</PATH>
<TIMESTAMP></TIMESTAMP>
<PERMISSION_STATUS>
<USERNAME>root</USERNAME>
<GROUPNAME>supergroup</GROUPNAME>
<MODE></MODE>
</PERMISSION_STATUS>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_ADD</OPCODE>
<DATA>
<TXID></TXID>
<LENGTH></LENGTH>
<INODEID></INODEID>
<PATH>/yinzhengjie/fsimage.xml._COPYING_</PATH>
<REPLICATION></REPLICATION>
<MTIME></MTIME>
<ATIME></ATIME>
<BLOCKSIZE></BLOCKSIZE>
<CLIENT_NAME>DFSClient_NONMAPREDUCE_-152402097_1</CLIENT_NAME>
<CLIENT_MACHINE>172.30.1.101</CLIENT_MACHINE>
<OVERWRITE>true</OVERWRITE>
<PERMISSION_STATUS>
<USERNAME>root</USERNAME>
<GROUPNAME>supergroup</GROUPNAME>
<MODE></MODE>
</PERMISSION_STATUS>
<RPC_CLIENTID>3020556e-7e1b--bfad-6c3cea06e2b4</RPC_CLIENTID>
<RPC_CALLID></RPC_CALLID>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_ALLOCATE_BLOCK_ID</OPCODE>
<DATA>
<TXID></TXID>
<BLOCK_ID></BLOCK_ID>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_SET_GENSTAMP_V2</OPCODE>
<DATA>
<TXID></TXID>
<GENSTAMPV2></GENSTAMPV2>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_ADD_BLOCK</OPCODE>
<DATA>
<TXID></TXID>
<PATH>/yinzhengjie/fsimage.xml._COPYING_</PATH>
<BLOCK>
<BLOCK_ID></BLOCK_ID>
<NUM_BYTES></NUM_BYTES>
<GENSTAMP></GENSTAMP>
</BLOCK>
<RPC_CLIENTID></RPC_CLIENTID>
<RPC_CALLID>-</RPC_CALLID>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_CLOSE</OPCODE>
<DATA>
<TXID></TXID>
<LENGTH></LENGTH>
<INODEID></INODEID>
<PATH>/yinzhengjie/fsimage.xml._COPYING_</PATH>
<REPLICATION></REPLICATION>
<MTIME></MTIME>
<ATIME></ATIME>
<BLOCKSIZE></BLOCKSIZE>
<CLIENT_NAME></CLIENT_NAME>
<CLIENT_MACHINE></CLIENT_MACHINE>
<OVERWRITE>false</OVERWRITE>
<BLOCK>
<BLOCK_ID></BLOCK_ID>
<NUM_BYTES></NUM_BYTES>
<GENSTAMP></GENSTAMP>
</BLOCK>
<PERMISSION_STATUS>
<USERNAME>root</USERNAME>
<GROUPNAME>supergroup</GROUPNAME>
<MODE></MODE>
</PERMISSION_STATUS>
</DATA>
</RECORD>
<RECORD>
<OPCODE>OP_RENAME_OLD</OPCODE>
<DATA>
<TXID></TXID>
<LENGTH></LENGTH>
<SRC>/yinzhengjie/fsimage.xml._COPYING_</SRC>
<DST>/yinzhengjie/fsimage.xml</DST>
<TIMESTAMP></TIMESTAMP>
<RPC_CLIENTID>3020556e-7e1b--bfad-6c3cea06e2b4</RPC_CLIENTID>
<RPC_CALLID></RPC_CALLID>
</DATA>
</RECORD>
</EDITS>
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cat edits.xml
4>.滚动编辑日志（edits）
编辑日志滚动只有两种条件会主动触发，要么就是重启hdfs集群，要么就是手动滚动编辑日志，手动滚动编辑日志很简单，就一条命令搞定：
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000006-
-rw-r--r--. root root Apr : edits_0000000000000000008-
-rw-r--r--. root root Apr : edits_0000000000000000010-
-rw-r--r--. root root Apr : edits_0000000000000000012-
-rw-r--r--. root root Apr : edits_0000000000000000014-
-rw-r--r--. root root Apr : edits_0000000000000000016-
-rw-r--r--. root root Apr : edits_0000000000000000018-
-rw-r--r--. root root Apr : edits_0000000000000000020-
-rw-r--r--. root root Apr : edits_0000000000000000022-
-rw-r--r--. root root Apr : edits_0000000000000000024-
-rw-r--r--. root root Apr : edits_0000000000000000026-
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000027 ------->这是当前正在写的编辑日志。
-rw-r--r--. root root Apr : fsimage_0000000000000000025
-rw-r--r--. root root Apr : fsimage_0000000000000000025.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000026
-rw-r--r--. root root Apr : fsimage_0000000000000000026.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -rollEdits
Successfully rolled edit logs.
New segment starts at txid -------->注意，这里就是告诉我们新生成的编辑日志编号！
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000006-
-rw-r--r--. root root Apr : edits_0000000000000000008-
-rw-r--r--. root root Apr : edits_0000000000000000010-
-rw-r--r--. root root Apr : edits_0000000000000000012-
-rw-r--r--. root root Apr : edits_0000000000000000014-
-rw-r--r--. root root Apr : edits_0000000000000000016-
-rw-r--r--. root root Apr : edits_0000000000000000018-
-rw-r--r--. root root Apr : edits_0000000000000000020-
-rw-r--r--. root root Apr : edits_0000000000000000022-
-rw-r--r--. root root Apr : edits_0000000000000000024-
-rw-r--r--. root root Apr : edits_0000000000000000026-
-rw-r--r--. root root Apr : edits_0000000000000000027-
-rw-r--r--. root root Apr : edits_0000000000000000029-
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000031 ------>滚动后，新生成的编辑日志编号还记得么？
-rw-r--r--. root root Apr : fsimage_0000000000000000026
-rw-r--r--. root root Apr : fsimage_0000000000000000026.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000028
-rw-r--r--. root root Apr : fsimage_0000000000000000028.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -rollEdits #我们可以手动滚动编辑日志
5>.滚动镜像文件（fsimage）
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode enter
Safe mode is ON
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is ON
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode enter #进入安全模式，下面会详细说明集群的安全模式相关概念
[root@node101.yinzhengjie.org.cn ~]# ll -h /data/hadoop/hdfs/dfs/name/current/ | grep fsimage
-rw-r--r--. root root Apr : fsimage_0000000000000000056
-rw-r--r--. root root Apr : fsimage_0000000000000000056.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000058 ------->滚动前最新的镜像文件
-rw-r--r--. root root Apr : fsimage_0000000000000000058.md5
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -saveNamespace #滚动镜像文件
Save namespace successful
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll -h /data/hadoop/hdfs/dfs/name/current/ | grep fsimage
-rw-r--r--. root root Apr : fsimage_0000000000000000058
-rw-r--r--. root root Apr : fsimage_0000000000000000058.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000060 ------->滚动后最新的镜像文件
-rw-r--r--. root root Apr : fsimage_0000000000000000060.md5
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -saveNamespace #滚动镜像文件,或者咱们也可以说在保存名称空间！
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is ON
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode leave #退出安全模式
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode leave #退出安全模式
推荐阅读：Hadoop默认的webＵＩ访问端口。
四.NameNode版本号
1>.查看namenode版本号
[root@node101.yinzhengjie.org.cn ~]# cat /data/hadoop/hdfs/dfs/name/current/VERSION
#Thu Apr :: CST
namespaceID=
clusterID=CID-5e6a5eca-6d94--9ff8-7decc325338c
cTime=
storageType=NAME_NODE
blockpoolID=BP--172.30.1.101-
layoutVersion=-
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
2>.namenode版本号具体解释
一.namespaceID
在HDFS上，会有多个Namenode，所以不同Namenode的namespaceID是不同的，分别管理一组blockpoolID。 二.clusterID
集群id，全局唯一 三.cTime
属性标记了namenode存储系统的创建时间，对于刚刚格式化的存储系统，这个属性为0；但是在文件系统升级之后，该值会更新到新的时间戳。 四.storageType
属性说明该存储目录包含的是namenode的数据结构。 五.blockpoolID
一个block pool id标识一个block pool，并且是跨集群的全局唯一。当一个新的Namespace被创建的时候(format过程的一部分)会创建并持久化一个唯一ID。在创建过程构建全局唯一的BlockPoolID比人为的配置更可靠一些。NN将BlockPoolID持久化到磁盘中，在后续的启动过程中，会再次load并使用。 六.layoutVersion
分层版本，它是一个负整数。通常只有HDFS增加新特性时才会更新这个版本号。
五.SecondaryNameNode目录结构
Secondary Name用来监控HDFS状态的辅助后台呈现，每隔一段时间获取HDFS元数据的快照。在我们定义的数据目录中（"${hadoop.tmp.dir}/dfs/namesecondary/current/"）可以查看都相应的目录结构,如下图所示：
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/namesecondary/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000007-
-rw-r--r--. root root Apr : edits_0000000000000000009-
-rw-r--r--. root root Apr : edits_0000000000000000011-
-rw-r--r--. root root Apr : edits_0000000000000000013-
-rw-r--r--. root root Apr : edits_0000000000000000015-
-rw-r--r--. root root Apr : edits_0000000000000000017-
-rw-r--r--. root root Apr : edits_0000000000000000019-
-rw-r--r--. root root Apr : edits_0000000000000000021-
-rw-r--r--. root root Apr : edits_0000000000000000023-
-rw-r--r--. root root Apr : edits_0000000000000000025-
-rw-r--r--. root root Apr : edits_0000000000000000027-
-rw-r--r--. root root Apr : edits_0000000000000000029-
-rw-r--r--. root root Apr : edits_0000000000000000031-
-rw-r--r--. root root Apr : edits_0000000000000000033-
-rw-r--r--. root root Apr : edits_0000000000000000035-
-rw-r--r--. root root Apr : edits_0000000000000000037-
-rw-r--r--. root root Apr : edits_0000000000000000039-
-rw-r--r--. root root Apr : edits_0000000000000000047-
-rw-r--r--. root root Apr : edits_0000000000000000049-
-rw-r--r--. root root Apr : fsimage_0000000000000000048
-rw-r--r--. root root Apr : fsimage_0000000000000000048.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000050
-rw-r--r--. root root Apr : fsimage_0000000000000000050.md5
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/namesecondary/current/
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000007-
-rw-r--r--. root root Apr : edits_0000000000000000009-
-rw-r--r--. root root Apr : edits_0000000000000000011-
-rw-r--r--. root root Apr : edits_0000000000000000013-
-rw-r--r--. root root Apr : edits_0000000000000000015-
-rw-r--r--. root root Apr : edits_0000000000000000017-
-rw-r--r--. root root Apr : edits_0000000000000000019-
-rw-r--r--. root root Apr : edits_0000000000000000021-
-rw-r--r--. root root Apr : edits_0000000000000000023-
-rw-r--r--. root root Apr : edits_0000000000000000025-
-rw-r--r--. root root Apr : edits_0000000000000000027-
-rw-r--r--. root root Apr : edits_0000000000000000029-
-rw-r--r--. root root Apr : edits_0000000000000000031-
-rw-r--r--. root root Apr : edits_0000000000000000033-
-rw-r--r--. root root Apr : edits_0000000000000000035-
-rw-r--r--. root root Apr : edits_0000000000000000037-
-rw-r--r--. root root Apr : edits_0000000000000000039-
-rw-r--r--. root root Apr : edits_0000000000000000047-
-rw-r--r--. root root Apr : edits_0000000000000000049-
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000051
-rw-r--r--. root root Apr : fsimage_0000000000000000048
-rw-r--r--. root root Apr : fsimage_0000000000000000048.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000050
-rw-r--r--. root root Apr : fsimage_0000000000000000050.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
SecondNameNode存放数据的目录和NameNode存放数据目录的布局相同，只不过SecondNameNode没有seen_txid这个文件。SecondNamenode的好处就是当NameNode方式故障时，可以从SecondNameNode的数据目录中恢复数据。恢复数据的方法有两种：
方法一：将SecondaryNameNode中的数据拷贝到NameNode存储数据的目录
方法二：使用-importCheckpoint选项启动namenode守护进程，从而将SecondaryNameNode尊重数据拷贝到NameNode目录中。
1>.模拟NameNode故障，采用方法一，恢复NameNode数据。(推荐使用)
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# jps
Jps
NameNode
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# kill -
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# jps
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# kill -9 1978 #杀掉正在运行的namenode进程
[root@node101.yinzhengjie.org.cn ~]# rm -rf /data/hadoop/hdfs/dfs/name/*
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name
total 0
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# rm -rf /data/hadoop/hdfs/dfs/name/* #杀掉进程后将namenode的存储数据全部删除掉！够不够狠？哈哈哈～
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name
total
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cp -r /data/hadoop/hdfs/dfs/namesecondary/* /data/hadoop/hdfs/dfs/name/
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name
total 8
drwxr-xr-x. 2 root root 4096 Apr 12 15:19 current
-rw-r--r--. 1 root root 31 Apr 12 15:19 in_use.lock
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cp -r /data/hadoop/hdfs/dfs/namesecondary/* /data/hadoop/hdfs/dfs/name/ #将nameSecondary下的数据拷贝到namenode到数据目录中
[root@node101.yinzhengjie.org.cn ~]# jps
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hadoop-daemon.sh start namenode
starting namenode, logging to /yinzhengjie/softwares/hadoop-2.9./logs/hadoop-root-namenode-node101.yinzhengjie.org.cn.out
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# jps
NameNode
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hadoop-daemon.sh start namenode #启动namenode服务
温馨提示：
我们上面虽说把数据恢复了，但是我们明明知道SeconaryName数据中有一个seen_txid这个文件是没有的，当我们把数据拷贝到NameNode后，启动NameNode时，我们发现他自动生成了该文件！是不是很神奇呢？
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
total
-rw-r--r--. root root Apr : edits_0000000000000000001-
-rw-r--r--. root root Apr : edits_0000000000000000003-
-rw-r--r--. root root Apr : edits_0000000000000000005-
-rw-r--r--. root root Apr : edits_0000000000000000007-
-rw-r--r--. root root Apr : edits_0000000000000000009-
-rw-r--r--. root root Apr : edits_0000000000000000011-
-rw-r--r--. root root Apr : edits_0000000000000000013-
-rw-r--r--. root root Apr : edits_0000000000000000015-
-rw-r--r--. root root Apr : edits_0000000000000000017-
-rw-r--r--. root root Apr : edits_0000000000000000019-
-rw-r--r--. root root Apr : edits_0000000000000000021-
-rw-r--r--. root root Apr : edits_0000000000000000023-
-rw-r--r--. root root Apr : edits_0000000000000000025-
-rw-r--r--. root root Apr : edits_0000000000000000027-
-rw-r--r--. root root Apr : edits_0000000000000000029-
-rw-r--r--. root root Apr : edits_0000000000000000031-
-rw-r--r--. root root Apr : edits_0000000000000000033-
-rw-r--r--. root root Apr : edits_0000000000000000035-
-rw-r--r--. root root Apr : edits_0000000000000000037-
-rw-r--r--. root root Apr : edits_0000000000000000039-
-rw-r--r--. root root Apr : edits_0000000000000000047-
-rw-r--r--. root root Apr : edits_0000000000000000049-
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000051
-rw-r--r--. root root Apr : fsimage_0000000000000000048
-rw-r--r--. root root Apr : fsimage_0000000000000000048.md5
-rw-r--r--. root root Apr : fsimage_0000000000000000050
-rw-r--r--. root root Apr : fsimage_0000000000000000050.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cat /data/hadoop/hdfs/dfs/name/current/seen_txid [root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name/current/
2>.模拟NameNode故障，采用方法二，恢复NameNode数据
[root@node101.yinzhengjie.org.cn ~]# cat /yinzhengjie/softwares/hadoop-2.9./etc/hadoop/hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration>
<property>
<name>dfs.namenode.checkpoint.period</name>
<value></value>
</property> <property>
<name>dfs.namenode.name.dir</name>
<value>/data/hadoop/hdfs/dfs/name</value>
</property> <property>
<name>dfs.replication</name>
<value></value>
</property>
</configuration> <!--
hdfs-site.xml 配置文件的作用：
#HDFS的相关设定，如文件副本的个数、块大小及是否使用强制权限等，此中的参数定义会覆盖hdfs-default.xml文件中的默认配置. dfs.namenode.checkpoint.period 参数的作用：
#两个定期检查点之间的秒数,默认是3600，即1小时。 dfs.namenode.name.dir 参数的作用：
#指定namenode的工作目录，默认是file://${hadoop.tmp.dir}/dfs/name dfs.replication 参数的作用：
#为了数据可用性及冗余的目的，HDFS会在多个节点上保存同一个数据块的多个副本，其默认为3个。而只有一个节点的伪分布式环境中其仅用
保存一个副本即可，这可以通过dfs.replication属性进行定义。它是一个软件级备份。 --> [root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cat /yinzhengjie/softwares/hadoop-2.9.2/etc/hadoop/hdfs-site.xml
[root@node101.yinzhengjie.org.cn ~]# jps
NameNode
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# kill -
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# jps
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# kill -9 21217
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name
total
drwxr-xr-x. root root Apr : current
-rw-r--r--. root root Apr : in_use.lock
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# rm -rf /data/hadoop/hdfs/dfs/name/*
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name
total 0
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# rm -rf /data/hadoop/hdfs/dfs/name/*
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/name
total
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/
total
drwx------. root root Apr : data
drwxr-xr-x. root root Apr : name
drwxr-xr-x. root root Apr : namesecondary
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/namesecondary/
total
drwxr-xr-x. root root Apr : current
-rw-r--r--. root root Apr : in_use.lock
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# rm -f /data/hadoop/hdfs/dfs/namesecondary/in_use.lock
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/namesecondary/
total
drwxr-xr-x. root root Apr : current
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# rm -f /data/hadoop/hdfs/dfs/namesecondary/in_use.lock #如果你的secondary目录和namenode不再同一个节点的还，使用scp拷贝到namenode的统计目录即可，别忘记把这个锁文件给他干掉！否则执行下面的步骤会提示目录被锁啦！
[root@node101.yinzhengjie.org.cn ~]# hdfs namenode -importCheckpoint
// :: INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = node101.yinzhengjie.org.cn/172.30.1.101
STARTUP_MSG: args = [-importCheckpoint]
STARTUP_MSG: version = 2.9.2
STARTUP_MSG: classpath = /yinzhengjie/softwares/hadoop-2.9.2/etc/hadoop:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/woodstox-core-5.0.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-collections-3.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/paranamer-2.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/zookeeper-3.4.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/xz-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jettison-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/junit-4.11.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jcip-annotations-1.0-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/snappy-java-1.0.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-configuration-1.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/httpclient-4.5.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/hadoop-annotations-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-lang-2.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/xmlenc-0.52.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-compress-1.4.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/avro-1.7.7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/curator-framework-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-codec-1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jetty-sslengine-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/json-smart-1.3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jsch-0.1.54.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/nimbus-jose-jwt-4.41.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/stax2-api-3.1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/slf4j-api-1.7.25.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/mockito-all-1.8.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-cli-1.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/htrace-core4-4.1.0-incubating.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-net-3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/guava-11.0.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jsr305-3.0.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/hadoop-auth-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/stax-api-1.0-2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/servlet-api-2.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jetty-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jets3t-0.9.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-digester-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/httpcore-4.4.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jsp-api-2.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/curator-client-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jersey-json-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-lang3-3.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/hamcrest-core-1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-logging-1.1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/gson-2.2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/activation-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jetty-util-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-math3-3.1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/hadoop-nfs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/hadoop-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/hadoop-common-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-annotations-2.7.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/okio-1.6.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/htrace-core4-4.1.0-incubating.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/guava-11.0.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-core-2.7.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-databind-2.7.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/okhttp-2.7.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/hadoop-hdfs-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-native-client-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-nfs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-client-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-native-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-rbf-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-rbf-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/woodstox-core-5.0.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/guice-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/paranamer-2.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/api-util-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/ehcache-3.3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/xz-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jettison-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jcip-annotations-1.0-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/snappy-java-1.0.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-configuration-1.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-beanutils-1.7.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/curator-recipes-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/httpclient-4.5.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-lang-2.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/xmlenc-0.52.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/java-xmlbuilder-0.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/javax.inject-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/avro-1.7.7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/curator-framework-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-codec-1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jetty-sslengine-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/json-smart-1.3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jsch-0.1.54.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/nimbus-jose-jwt-4.41.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/java-util-1.9.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/HikariCP-java7-2.4.12.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/stax2-api-3.1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-cli-1.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/apacheds-i18n-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/metrics-core-3.0.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/htrace-core4-4.1.0-incubating.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-net-3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/guava-11.0.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/api-asn1-api-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/servlet-api-2.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jetty-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jets3t-0.9.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-digester-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/httpcore-4.4.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jsp-api-2.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-client-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/geronimo-jcache_1.0_spec-1.0-alpha-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/curator-client-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-json-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/aopalliance-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-lang3-3.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/gson-2.2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-beanutils-core-1.8.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/activation-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/fst-2.50.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/mssql-jdbc-6.2.1.jre7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-math3-3.1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/json-io-2.5.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-api-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-router-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-tests-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-timeline-pluginstorage-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-registry-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/guice-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/xz-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/junit-4.11.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/snappy-java-1.0.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/hadoop-annotations-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/javax.inject-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/avro-1.7.7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.2.jar:/contrib/capacity-scheduler/*.jar
STARTUP_MSG: build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r 826afbeae31ca687bc2f8471dc841b66ed2c6704; compiled by 'ajisaka' on 2018-11-13T12:42Z
STARTUP_MSG: java = 1.8.0_201
************************************************************/
// :: INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
// :: INFO namenode.NameNode: createNameNode [-importCheckpoint]
// :: INFO impl.MetricsConfig: loaded properties from hadoop-metrics2.properties
// :: INFO impl.MetricsSystemImpl: Scheduled Metric snapshot period at second(s).
// :: INFO impl.MetricsSystemImpl: NameNode metrics system started
// :: INFO namenode.NameNode: fs.defaultFS is hdfs://node101.yinzhengjie.org.cn:8020
// :: INFO namenode.NameNode: Clients are to use node101.yinzhengjie.org.cn: to access this namenode/service.
// :: INFO util.JvmPauseMonitor: Starting JVM pause monitor
// :: INFO hdfs.DFSUtil: Starting Web-server for hdfs at: http://account.jetbrains.com:50070
// :: INFO mortbay.log: Logging to org.slf4j.impl.Log4jLoggerAdapter(org.mortbay.log) via org.mortbay.log.Slf4jLog
// :: INFO server.AuthenticationFilter: Unable to initialize FileSignerSecretProvider, falling back to use random secrets.
// :: INFO http.HttpRequestLog: Http request log for http.requests.namenode is not defined
// :: INFO http.HttpServer2: Added global filter 'safety' (class=org.apache.hadoop.http.HttpServer2$QuotingInputFilter)
// :: INFO http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context hdfs
// :: INFO http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context logs
// :: INFO http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context static
// :: INFO http.HttpServer2: Added filter 'org.apache.hadoop.hdfs.web.AuthFilter' (class=org.apache.hadoop.hdfs.web.AuthFilter)
// :: INFO http.HttpServer2: addJerseyResourcePackage: packageName=org.apache.hadoop.hdfs.server.namenode.web.resources;org.apache.hadoop.hdfs.web.resources, pathSpec=/webhdfs/v1/*
19/04/12 15:53:17 INFO http.HttpServer2: Jetty bound to port 50070
19/04/12 15:53:17 INFO mortbay.log: jetty-6.1.26
19/04/12 15:53:17 INFO mortbay.log: Started HttpServer2$SelectChannelConnectorWithSafeStartup@account.jetbrains.com:50070
19/04/12 15:53:17 WARN common.Util: Path /data/hadoop/hdfs/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
19/04/12 15:53:17 WARN common.Util: Path /data/hadoop/hdfs/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
19/04/12 15:53:17 WARN namenode.FSNamesystem: !!! WARNING !!!
The NameNode currently runs without persistent storage.
Any changes to the file system meta-data may be lost.
Recommended actions:
- shutdown and restart NameNode with configured "dfs.namenode.edits.dir.required" in hdfs-site.xml;
- use Backup Node as a persistent and up-to-date storage of the file system meta-data.
19/04/12 15:53:17 WARN namenode.FSNamesystem: Only one image storage directory (dfs.namenode.name.dir) configured. Beware of data loss due to lack of redundant storage directories!
19/04/12 15:53:17 WARN namenode.FSNamesystem: Only one namespace edits storage directory (dfs.namenode.edits.dir) configured. Beware of data loss due to lack of redundant storage directories!
19/04/12 15:53:17 WARN common.Util: Path /data/hadoop/hdfs/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
19/04/12 15:53:17 WARN common.Util: Path /data/hadoop/hdfs/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
19/04/12 15:53:17 INFO namenode.FSEditLog: Edit logging is async:true
19/04/12 15:53:17 INFO namenode.FSNamesystem: KeyProvider: null
19/04/12 15:53:17 INFO namenode.FSNamesystem: fsLock is fair: true
19/04/12 15:53:17 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false
19/04/12 15:53:17 INFO namenode.FSNamesystem: fsOwner = root (auth:SIMPLE)
19/04/12 15:53:17 INFO namenode.FSNamesystem: supergroup = supergroup
19/04/12 15:53:17 INFO namenode.FSNamesystem: isPermissionEnabled = true
19/04/12 15:53:17 INFO namenode.FSNamesystem: HA Enabled: false
19/04/12 15:53:17 INFO common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling
19/04/12 15:53:17 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit: configured=1000, counted=60, effected=1000
19/04/12 15:53:17 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
19/04/12 15:53:17 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
19/04/12 15:53:17 INFO blockmanagement.BlockManager: The block deletion will start around 2019 Apr 12 15:53:17
19/04/12 15:53:17 INFO util.GSet: Computing capacity for map BlocksMap
19/04/12 15:53:17 INFO util.GSet: VM type = 64-bit
19/04/12 15:53:17 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB
19/04/12 15:53:17 INFO util.GSet: capacity = 2^21 = 2097152 entries
19/04/12 15:53:17 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
19/04/12 15:53:17 WARN conf.Configuration: No unit for dfs.heartbeat.interval(3) assuming SECONDS
19/04/12 15:53:17 WARN conf.Configuration: No unit for dfs.namenode.safemode.extension(30000) assuming MILLISECONDS
19/04/12 15:53:17 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
19/04/12 15:53:17 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.min.datanodes = 0
19/04/12 15:53:17 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.extension = 30000
19/04/12 15:53:17 INFO blockmanagement.BlockManager: defaultReplication = 2
19/04/12 15:53:17 INFO blockmanagement.BlockManager: maxReplication = 512
19/04/12 15:53:17 INFO blockmanagement.BlockManager: minReplication = 1
19/04/12 15:53:17 INFO blockmanagement.BlockManager: maxReplicationStreams = 2
19/04/12 15:53:17 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
19/04/12 15:53:17 INFO blockmanagement.BlockManager: encryptDataTransfer = false
19/04/12 15:53:17 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000
19/04/12 15:53:17 INFO namenode.FSNamesystem: Append Enabled: true
19/04/12 15:53:17 INFO namenode.FSDirectory: GLOBAL serial map: bits=24 maxEntries=16777215
19/04/12 15:53:17 INFO util.GSet: Computing capacity for map INodeMap
19/04/12 15:53:17 INFO util.GSet: VM type = 64-bit
19/04/12 15:53:17 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB
19/04/12 15:53:17 INFO util.GSet: capacity = 2^20 = 1048576 entries
19/04/12 15:53:17 INFO namenode.FSDirectory: ACLs enabled? false
19/04/12 15:53:17 INFO namenode.FSDirectory: XAttrs enabled? true
19/04/12 15:53:17 INFO namenode.NameNode: Caching file names occurring more than 10 times
19/04/12 15:53:17 INFO snapshot.SnapshotManager: Loaded config captureOpenFiles: falseskipCaptureAccessTimeOnlyChange: false
19/04/12 15:53:17 INFO util.GSet: Computing capacity for map cachedBlocks
19/04/12 15:53:17 INFO util.GSet: VM type = 64-bit
19/04/12 15:53:17 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB
19/04/12 15:53:17 INFO util.GSet: capacity = 2^18 = 262144 entries
19/04/12 15:53:17 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
19/04/12 15:53:17 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
19/04/12 15:53:17 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
19/04/12 15:53:17 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
19/04/12 15:53:17 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
19/04/12 15:53:17 INFO util.GSet: Computing capacity for map NameNodeRetryCache
19/04/12 15:53:17 INFO util.GSet: VM type = 64-bit
19/04/12 15:53:17 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
19/04/12 15:53:17 INFO util.GSet: capacity = 2^15 = 32768 entries
19/04/12 15:53:17 INFO common.Storage: Lock on /data/hadoop/hdfs/dfs/name/in_use.lock acquired by nodename 28133@node101.yinzhengjie.org.cn
19/04/12 15:53:17 INFO namenode.FSImage: Storage directory /data/hadoop/hdfs/dfs/name is not formatted.
19/04/12 15:53:17 INFO namenode.FSImage: Formatting ...
19/04/12 15:53:17 INFO namenode.FSEditLog: Edit logging is async:true
19/04/12 15:53:17 INFO common.Storage: Lock on /data/hadoop/hdfs/dfs/namesecondary/in_use.lock acquired by nodename 28133@node101.yinzhengjie.org.cn
19/04/12 15:53:17 WARN namenode.FSNamesystem: !!! WARNING !!!
The NameNode currently runs without persistent storage.
Any changes to the file system meta-data may be lost.
Recommended actions:
- shutdown and restart NameNode with configured "dfs.namenode.edits.dir.required" in hdfs-site.xml;
- use Backup Node as a persistent and up-to-date storage of the file system meta-data.
19/04/12 15:53:17 INFO namenode.FileJournalManager: Recovering unfinalized segments in /data/hadoop/hdfs/dfs/namesecondary/current
19/04/12 15:53:17 INFO namenode.FSImage: No edit log streams selected.
19/04/12 15:53:17 INFO namenode.FSImage: Planning to load image: FSImageFile(file=/data/hadoop/hdfs/dfs/namesecondary/current/fsimage_0000000000000000050, cpktTxId=0000000000000000050)
19/04/12 15:53:18 INFO namenode.FSImageFormatPBINode: Loading 3 INodes.
19/04/12 15:53:18 INFO namenode.FSImageFormatProtobuf: Loaded FSImage in 0 seconds.
19/04/12 15:53:18 INFO namenode.FSImage: Loaded image for txid 50 from /data/hadoop/hdfs/dfs/namesecondary/current/fsimage_0000000000000000050
19/04/12 15:53:18 WARN namenode.FSNamesystem: !!! WARNING !!!
The NameNode currently runs without persistent storage.
Any changes to the file system meta-data may be lost.
Recommended actions:
- shutdown and restart NameNode with configured "dfs.namenode.edits.dir.required" in hdfs-site.xml;
- use Backup Node as a persistent and up-to-date storage of the file system meta-data.
19/04/12 15:53:18 INFO namenode.FileJournalManager: Recovering unfinalized segments in /data/hadoop/hdfs/dfs/name/current
19/04/12 15:53:18 INFO namenode.FSImage: Save namespace ...
19/04/12 15:53:18 INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/hdfs/dfs/name/current/fsimage.ckpt_0000000000000000050 using no compression
19/04/12 15:53:18 INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/hdfs/dfs/name/current/fsimage.ckpt_0000000000000000050 of size 489 bytes saved in 0 seconds .
19/04/12 15:53:18 INFO namenode.FSImageTransactionalStorageInspector: No version file in /data/hadoop/hdfs/dfs/name
19/04/12 15:53:18 INFO namenode.FSImageTransactionalStorageInspector: No version file in /data/hadoop/hdfs/dfs/name
19/04/12 15:53:18 INFO namenode.FSNamesystem: Need to save fs image? false (staleImage=false, haEnabled=false, isRollingUpgrade=false)
19/04/12 15:53:18 INFO namenode.FSEditLog: Starting log segment at 51
19/04/12 15:53:18 INFO namenode.NameCache: initialized with 0 entries 0 lookups
19/04/12 15:53:18 INFO namenode.FSNamesystem: Finished loading FSImage in 335 msecs
19/04/12 15:53:18 INFO namenode.NameNode: RPC server is binding to node101.yinzhengjie.org.cn:8020
19/04/12 15:53:18 INFO ipc.CallQueueManager: Using callQueue: class java.util.concurrent.LinkedBlockingQueue queueCapacity: 1000 scheduler: class org.apache.hadoop.ipc.DefaultRpcScheduler
19/04/12 15:53:18 INFO ipc.Server: Starting Socket Reader #1 for port 8020
19/04/12 15:53:18 INFO namenode.FSNamesystem: Registered FSNamesystemState MBean
19/04/12 15:53:18 WARN common.Util: Path /data/hadoop/hdfs/dfs/name should be specified as a URI in configuration files. Please update hdfs configuration.
19/04/12 15:53:18 WARN namenode.FSNamesystem: !!! WARNING !!!
The NameNode currently runs without persistent storage.
Any changes to the file system meta-data may be lost.
Recommended actions:
- shutdown and restart NameNode with configured "dfs.namenode.edits.dir.required" in hdfs-site.xml;
- use Backup Node as a persistent and up-to-date storage of the file system meta-data.
19/04/12 15:53:18 INFO namenode.LeaseManager: Number of blocks under construction: 0
19/04/12 15:53:18 INFO blockmanagement.BlockManager: initializing replication queues
19/04/12 15:53:18 INFO hdfs.StateChange: STATE* Leaving safe mode after 0 secs
19/04/12 15:53:18 INFO hdfs.StateChange: STATE* Network topology has 0 racks and 0 datanodes
19/04/12 15:53:18 INFO hdfs.StateChange: STATE* UnderReplicatedBlocks has 0 blocks
19/04/12 15:53:18 INFO blockmanagement.BlockManager: Total number of blocks = 1
19/04/12 15:53:18 INFO blockmanagement.BlockManager: Number of invalid blocks = 0
19/04/12 15:53:18 INFO blockmanagement.BlockManager: Number of under-replicated blocks = 1
19/04/12 15:53:18 INFO blockmanagement.BlockManager: Number of over-replicated blocks = 0
19/04/12 15:53:18 INFO blockmanagement.BlockManager: Number of blocks being written = 0
19/04/12 15:53:18 INFO hdfs.StateChange: STATE* Replication Queue initialization scan for invalid, over- and under-replicated blocks completed in 6 msec
19/04/12 15:53:18 INFO ipc.Server: IPC Server Responder: starting
19/04/12 15:53:18 INFO ipc.Server: IPC Server listener on 8020: starting
19/04/12 15:53:18 INFO namenode.NameNode: NameNode RPC up at: node101.yinzhengjie.org.cn/172.30.1.101:8020
19/04/12 15:53:18 INFO namenode.FSNamesystem: Starting services required for active state
19/04/12 15:53:18 INFO namenode.FSDirectory: Initializing quota with 4 thread(s)
19/04/12 15:53:18 INFO namenode.FSDirectory: Quota initialization completed in 4 milliseconds
name space=3
storage space=2528
storage types=RAM_DISK=0, SSD=0, DISK=0, ARCHIVE=0
19/04/12 15:53:18 INFO blockmanagement.CacheReplicationMonitor: Starting CacheReplicationMonitor with interval 30000 milliseconds
19/04/12 15:53:19 INFO hdfs.StateChange: BLOCK* registerDatanode: from DatanodeRegistration(172.30.1.101:50010, datanodeUuid=07a8ce7e-9ee2-4f39-aa4c-06fc06175ac7, infoPort=50075, infoSecurePort=0, ipcPort=50020, storageInfo=lv=-57;cid=CID-5e6a5eca-6d94-4087-9ff8-7decc325338c;nsid=429640720;c=1554977243283) storage 07a8ce7e-9ee2-4f39-aa4c-06fc06175ac7
19/04/12 15:53:19 INFO net.NetworkTopology: Adding a new node: /default-rack/172.30.1.101:50010
19/04/12 15:53:19 INFO blockmanagement.BlockReportLeaseManager: Registered DN 07a8ce7e-9ee2-4f39-aa4c-06fc06175ac7 (172.30.1.101:50010).
19/04/12 15:53:19 INFO blockmanagement.DatanodeDescriptor: Adding new storage ID DS-2be780fb-d455-426c-ae0a-f04329f7f6af for DN 172.30.1.101:50010
19/04/12 15:53:19 INFO BlockStateChange: BLOCK* processReport 0x8fbe58a5c4ff1ffc: Processing first storage report for DS-2be780fb-d455-426c-ae0a-f04329f7f6af from datanode 07a8ce7e-9ee2-4f39-aa4c-06fc06175ac7
19/04/12 15:53:19 INFO BlockStateChange: BLOCK* processReport 0x8fbe58a5c4ff1ffc: from storage DS-2be780fb-d455-426c-ae0a-f04329f7f6af node DatanodeRegistration(172.30.1.101:50010, datanodeUuid=07a8ce7e-9ee2-4f39-aa4c-06fc06175ac7, infoPort=50075, infoSecurePort=0, ipcPort=50020, storageInfo=lv=-57;cid=CID-5e6a5eca-6d94-4087-9ff8-7decc325338c;nsid=429640720;c=1554977243283), blocks: 1, hasStaleStorage: false, processing time: 3 msecs, invalidatedBlocks: 0
19/04/12 15:53:19 INFO hdfs.StateChange: BLOCK* registerDatanode: from DatanodeRegistration(172.30.1.102:50010, datanodeUuid=8810056a-5a58-4d85-8a00-e0ceb5d1ac8b, infoPort=50075, infoSecurePort=0, ipcPort=50020, storageInfo=lv=-57;cid=CID-5e6a5eca-6d94-4087-9ff8-7decc325338c;nsid=429640720;c=1554977243283) storage 8810056a-5a58-4d85-8a00-e0ceb5d1ac8b
19/04/12 15:53:19 INFO net.NetworkTopology: Adding a new node: /default-rack/172.30.1.102:50010
19/04/12 15:53:19 INFO blockmanagement.BlockReportLeaseManager: Registered DN 8810056a-5a58-4d85-8a00-e0ceb5d1ac8b (172.30.1.102:50010).
19/04/12 15:53:19 INFO hdfs.StateChange: BLOCK* registerDatanode: from DatanodeRegistration(172.30.1.103:50010, datanodeUuid=6625a3aa-8e60-4614-922c-4e3f2821cb9d, infoPort=50075, infoSecurePort=0, ipcPort=50020, storageInfo=lv=-57;cid=CID-5e6a5eca-6d94-4087-9ff8-7decc325338c;nsid=429640720;c=1554977243283) storage 6625a3aa-8e60-4614-922c-4e3f2821cb9d
19/04/12 15:53:19 INFO net.NetworkTopology: Adding a new node: /default-rack/172.30.1.103:50010
19/04/12 15:53:19 INFO blockmanagement.BlockReportLeaseManager: Registered DN 6625a3aa-8e60-4614-922c-4e3f2821cb9d (172.30.1.103:50010).
19/04/12 15:53:19 INFO blockmanagement.DatanodeDescriptor: Adding new storage ID DS-58b626df-edca-4f58-baae-051a10700a6c for DN 172.30.1.102:50010
19/04/12 15:53:19 INFO blockmanagement.DatanodeDescriptor: Adding new storage ID DS-b1a5ab0c-365e-4c54-8947-5686377fc317 for DN 172.30.1.103:50010
19/04/12 15:53:19 INFO BlockStateChange: BLOCK* processReport 0x894eeec5f232acb8: Processing first storage report for DS-58b626df-edca-4f58-baae-051a10700a6c from datanode 8810056a-5a58-4d85-8a00-e0ceb5d1ac8b
19/04/12 15:53:19 INFO BlockStateChange: BLOCK* processReport 0x894eeec5f232acb8: from storage DS-58b626df-edca-4f58-baae-051a10700a6c node DatanodeRegistration(172.30.1.102:50010, datanodeUuid=8810056a-5a58-4d85-8a00-e0ceb5d1ac8b, infoPort=50075, infoSecurePort=0, ipcPort=50020, storageInfo=lv=-57;cid=CID-5e6a5eca-6d94-4087-9ff8-7decc325338c;nsid=429640720;c=1554977243283), blocks: 0, hasStaleStorage: false, processing time: 1 msecs, invalidatedBlocks: 0
19/04/12 15:53:19 INFO BlockStateChange: BLOCK* processReport 0xe5052da591a1fb0a: Processing first storage report for DS-b1a5ab0c-365e-4c54-8947-5686377fc317 from datanode 6625a3aa-8e60-4614-922c-4e3f2821cb9d
19/04/12 15:53:19 INFO BlockStateChange: BLOCK* processReport 0xe5052da591a1fb0a: from storage DS-b1a5ab0c-365e-4c54-8947-5686377fc317 node DatanodeRegistration(172.30.1.103:50010, datanodeUuid=6625a3aa-8e60-4614-922c-4e3f2821cb9d, infoPort=50075, infoSecurePort=0, ipcPort=50020, storageInfo=lv=-57;cid=CID-5e6a5eca-6d94-4087-9ff8-7decc325338c;nsid=429640720;c=1554977243283), blocks: 1, hasStaleStorage: false, processing time: 1 msecs, invalidatedBlocks: 0
19/04/12 15:54:05 INFO namenode.FSNamesystem: Roll Edit Log from 172.30.1.101
19/04/12 15:54:05 INFO namenode.FSEditLog: Rolling edit logs
19/04/12 15:54:05 INFO namenode.FSEditLog: Ending log segment 51, 51
19/04/12 15:54:05 INFO namenode.FSEditLog: Number of transactions: 2 Total time for transactions(ms): 0 Number of transactions batched in Syncs: 50 Number of syncs: 3 SyncTimes(ms): 5
19/04/12 15:54:05 INFO namenode.FileJournalManager: Finalizing edits file /data/hadoop/hdfs/dfs/name/current/edits_inprogress_0000000000000000051 -> /data/hadoop/hdfs/dfs/name/current/edits_0000000000000000051-0000000000000000052
19/04/12 15:54:05 INFO namenode.FSEditLog: Starting log segment at 53
19/04/12 15:54:05 INFO namenode.TransferFsImage: Sending fileName: /data/hadoop/hdfs/dfs/name/current/edits_0000000000000000051-0000000000000000052, fileSize: 42. Sent total: 42 bytes. Size of last segment intended to send: -1 bytes.
19/04/12 15:54:05 INFO namenode.TransferFsImage: Combined time for fsimage download and fsync to all disks took 0.00s. The fsimage download took 0.00s at 0.00 KB/s. Synchronous (fsync) write to disk of /data/hadoop/hdfs/dfs/name/current/fsimage.ckpt_0000000000000000052 took 0.00s.
19/04/12 15:54:05 INFO namenode.TransferFsImage: Downloaded file fsimage.ckpt_0000000000000000052 size 489 bytes.
19/04/12 15:54:05 INFO namenode.NNStorageRetentionManager: Going to retain 2 images with txid >= 50
^C19/04/12 16:03:13 ERROR namenode.NameNode: RECEIVED SIGNAL 2: SIGINT
19/04/12 16:03:13 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at node101.yinzhengjie.org.cn/172.30.1.101
************************************************************/
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs namenode -importCheckpoint #运行1分钟左右直接Ctrl +c就可以了，我们执行这个步骤目的就是将namesecondary目录的数据拷贝过去，但是它会一直占用终端！
[root@node101.yinzhengjie.org.cn ~]# jps
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hadoop-daemon.sh start namenode
starting namenode, logging to /yinzhengjie/softwares/hadoop-2.9./logs/hadoop-root-namenode-node101.yinzhengjie.org.cn.out
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# jps
NameNode
Jps
SecondaryNameNode
DataNode
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hadoop-daemon.sh start namenode
六.集群的安全模式操作
1>.HDFS集群安全模式概述
安全模式是hadoop的一种保护机制，用于保证集群中的数据块的安全性。
Namenode启动时，首先将映像文件（fsimage）载入内存，并执行编辑日志（edits）中的各项操作。一旦在内存中成功建立文件系统元数据的映像，则创建一个新的fsimage文件和一个空的编辑日志。此时，namenode开始监听datanode请求。但是此刻，namenode运行在安全模式，即namenode的文件系统对于客户端来说是只读的。 系统中的数据块的位置并不是由namenode维护的，而是以块列表的形式存储在datanode中。在系统的正常操作期间，namenode会在内存中保留所有块位置的映射信息。在安全模式下，各个datanode会向namenode发送最新的块列表信息，namenode了解到足够多的块位置信息之后，即可高效运行文件系统。 如果满足“最小副本条件”，namenode会在30秒钟之后就退出安全模式。所谓的最小副本条件指的是在整个文件系统中99.%的块满足最小副本级别（默认值：dfs.replication.min=）。在启动一个刚刚格式化的HDFS集群时，因为系统中还没有任何块，所以namenode不会进入安全模式。
如下图所示，集群处于安全模式：
当然，我们还有部分的DataNode还没有加入到集群中，因此依旧处于安全模式，我们可以在NameNode的WebUI中看到，如下所示：
2>. 查看hdfs当前集群安全模式的状态
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
3>.使集群进入安全模式状态
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode enter
Safe mode is ON
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is ON
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode enter
4>.使集群离开安全模式状态
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is ON
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode leave
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode get
Safe mode is OFF
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs dfsadmin -safemode leave
5>.使集群等待安全模式状态
我们先将客户端开启安全模式,具体操作如下所示：
然后我们再退出安全模式：
6>.安全模式相关参数设置
我们知道当集群启动的时候，会首先进入安全模式。当系统处于安全模式时会检查数据块的完整性。假设我们设置的副本数（即参数dfs.replication）是5，那么在datanode上就应该有5个副本存在，假设只存在3个副本，那么比例就是3/5=0.6。在配置文件hdfs-default.xml中定义了一个最小的副本的副本率0.999，如下图所示：
网上说它是被“dfs.safemode.threshold.pct”属性所控制，但是，在Hadoop2.9.2该属性值并不推荐使用，而是建议咱们使用“dfs.namenode.safemode.threshold-pct”，如下图所示：（Deprecated Properties）
一、参数含义 dfs.replication：设置数据块应该被复制的份数； dfs.replication.min：所规定的数据块副本的最小份数； dfs.safemode.threshold.pct：指定应有多少比例的数据块满足最小副本数要求。 ()当小于这个比例， 那就将系统切换成安全模式，对数据块进行复制； ()当大于该比例时，就离开安全模式，说明系统有足够的数据块副本数，可以对外提供服务。 ()小于等于0意味不进入安全模式，大于1意味一直处于安全模式。 二、dfs.replication.min存在的意义 副本数按dfs.replication设置，如果有失效节点导致某数据块副本数降低，当低于dfs.replication.min后，系统再在其他节点处复制新的副本。如果该数据块
的副本经常丢失，导致在环境中太多的节点处复制了超过dfs.replication.max的副本数，那么就不再复制了。 三、hadoop安全模式的理解 hadoop的安全模式即只读模式，是指当前系统中数据块的副本数比较少，在该阶段要对数据块进行复制操作，不允外界对数据块进行修改和删除等操作。NameNode在启动的时候首先进入安全模式，如果datanode丢失的block达到一定的比例（-dfs.safemode.threshold.pct），则系统会一直处于安全模式状态即只读状态。dfs.safemode.threshold.pct（缺省值0.999f）表示HDFS启动的时候，如果DataNode上报的block个数达到了元数据记录的block个数的0.999倍才可以离开安全模式，否则一直是这种只读模式。如果设为1则HDFS永远是处于SafeMode。 原文：https://blog.csdn.net/zcc_0015/article/details/18779599
hadoop中dfs.replication、dfs.replication.min及dfs.safemode.threshold.pct关系
七.NameNode多目录配置
NameNode的本地目录可以配置成多个，且每个目录存放内容相同。
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/
total
drwx------. root root Apr : data
drwxr-xr-x. root root Apr : name
drwxr-xr-x. root root Apr : namesecondary
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/
[root@node101.yinzhengjie.org.cn ~]# cat /yinzhengjie/softwares/hadoop-2.9./etc/hadoop/hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration>
<property>
<name>dfs.namenode.checkpoint.period</name>
<value></value>
</property> <property>
<name>dfs.namenode.name.dir</name>
<value>/data/hadoop/hdfs/dfs/name1,/data/hadoop/hdfs/dfs/name2,/data/hadoop/hdfs/dfs/name3</value>
</property> <property>
<name>dfs.replication</name>
<value></value>
</property> </configuration> <!--
hdfs-site.xml 配置文件的作用：
#HDFS的相关设定，如文件副本的个数、块大小及是否使用强制权限等，此中的参数定义会覆盖hdfs-default.xml文件中的默认配置. dfs.namenode.checkpoint.period 参数的作用：
#两个定期检查点之间的秒数,默认是3600，即1小时。 dfs.namenode.name.dir 参数的作用：
#指定namenode的工作目录，默认是file://${hadoop.tmp.dir}/dfs/name,namenode的本地目录可以配置成多个，且每个目录存放内容相同，增加了可靠性。建议配置的多目录用不同磁盘挂在，这样可以提升IO性能！ dfs.replication 参数的作用：
#为了数据可用性及冗余的目的，HDFS会在多个节点上保存同一个数据块的多个副本，其默认为3个。而只有一个节点的伪分布式环境中其仅用
保存一个副本即可，这可以通过dfs.replication属性进行定义。它是一个软件级备份。 --> [root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cat /yinzhengjie/softwares/hadoop-2.9.2/etc/hadoop/hdfs-site.xml
[root@node101.yinzhengjie.org.cn ~]# hdfs namenode -format
// :: INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = node101.yinzhengjie.org.cn/172.30.1.101
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 2.9.2
STARTUP_MSG: classpath = /yinzhengjie/softwares/hadoop-2.9.2/etc/hadoop:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/woodstox-core-5.0.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-collections-3.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/paranamer-2.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/zookeeper-3.4.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/xz-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jettison-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/junit-4.11.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jcip-annotations-1.0-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/snappy-java-1.0.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-configuration-1.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/httpclient-4.5.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/hadoop-annotations-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-lang-2.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/xmlenc-0.52.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-compress-1.4.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/avro-1.7.7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/curator-framework-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-codec-1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jetty-sslengine-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/json-smart-1.3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jsch-0.1.54.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/nimbus-jose-jwt-4.41.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/stax2-api-3.1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/slf4j-api-1.7.25.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/mockito-all-1.8.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-cli-1.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/htrace-core4-4.1.0-incubating.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-net-3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/guava-11.0.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jsr305-3.0.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/hadoop-auth-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/stax-api-1.0-2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/servlet-api-2.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jetty-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jets3t-0.9.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-digester-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/httpcore-4.4.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jsp-api-2.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/curator-client-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jersey-json-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-lang3-3.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/hamcrest-core-1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-logging-1.1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/gson-2.2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/activation-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/jetty-util-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/lib/commons-math3-3.1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/hadoop-nfs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/hadoop-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/common/hadoop-common-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-annotations-2.7.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/okio-1.6.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/htrace-core4-4.1.0-incubating.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/guava-11.0.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-core-2.7.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-databind-2.7.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/okhttp-2.7.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/hadoop-hdfs-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-native-client-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-nfs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-client-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-native-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-rbf-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-rbf-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/hdfs/hadoop-hdfs-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/woodstox-core-5.0.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/guice-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/paranamer-2.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/api-util-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/ehcache-3.3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/xz-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jettison-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jcip-annotations-1.0-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/snappy-java-1.0.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-configuration-1.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-beanutils-1.7.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/curator-recipes-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/httpclient-4.5.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-lang-2.6.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/xmlenc-0.52.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/java-xmlbuilder-0.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/javax.inject-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/avro-1.7.7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/curator-framework-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-codec-1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jetty-sslengine-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/json-smart-1.3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jsch-0.1.54.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/nimbus-jose-jwt-4.41.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/java-util-1.9.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/HikariCP-java7-2.4.12.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/stax2-api-3.1.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-cli-1.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/apacheds-i18n-2.0.0-M15.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/metrics-core-3.0.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/htrace-core4-4.1.0-incubating.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-net-3.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/guava-11.0.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/api-asn1-api-1.0.0-M20.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/servlet-api-2.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jetty-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jets3t-0.9.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-digester-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/httpcore-4.4.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jsp-api-2.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-client-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/geronimo-jcache_1.0_spec-1.0-alpha-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/curator-client-2.7.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jersey-json-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/aopalliance-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-lang3-3.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/gson-2.2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-beanutils-core-1.8.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/activation-1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/fst-2.50.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/mssql-jdbc-6.2.1.jre7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/commons-math3-3.1.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/lib/json-io-2.5.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-api-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-router-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-tests-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-timeline-pluginstorage-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-client-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-registry-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/guice-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/asm-3.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/xz-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/junit-4.11.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/snappy-java-1.0.5.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/hadoop-annotations-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/javax.inject-1.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/avro-1.7.7.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.9.2-tests.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.9.2.jar:/yinzhengjie/softwares/hadoop-2.9.2/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.2.jar:/contrib/capacity-scheduler/*.jar
STARTUP_MSG: build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r 826afbeae31ca687bc2f8471dc841b66ed2c6704; compiled by 'ajisaka' on 2018-11-13T12:42Z
STARTUP_MSG: java = 1.8.0_201
************************************************************/
// :: INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
// :: INFO namenode.NameNode: createNameNode [-format]
// :: WARN common.Util: Path /data/hadoop/hdfs/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /data/hadoop/hdfs/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /data/hadoop/hdfs/dfs/name3 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /data/hadoop/hdfs/dfs/name1 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /data/hadoop/hdfs/dfs/name2 should be specified as a URI in configuration files. Please update hdfs configuration.
// :: WARN common.Util: Path /data/hadoop/hdfs/dfs/name3 should be specified as a URI in configuration files. Please update hdfs configuration.
Formatting using clusterid: CID-e7603940-eaba-4ce6-9ecd-3a449027b432
// :: INFO namenode.FSEditLog: Edit logging is async:true
// :: INFO namenode.FSNamesystem: KeyProvider: null
// :: INFO namenode.FSNamesystem: fsLock is fair: true
// :: INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false
// :: INFO namenode.FSNamesystem: fsOwner = root (auth:SIMPLE)
// :: INFO namenode.FSNamesystem: supergroup = supergroup
// :: INFO namenode.FSNamesystem: isPermissionEnabled = true
// :: INFO namenode.FSNamesystem: HA Enabled: false
// :: INFO common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to . Disabling file IO profiling
// :: INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit: configured=, counted=, effected=
// :: INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
// :: INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to :::00.000
// :: INFO blockmanagement.BlockManager: The block deletion will start around Apr ::
// :: INFO util.GSet: Computing capacity for map BlocksMap
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 2.0% max memory MB = 17.8 MB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
// :: WARN conf.Configuration: No unit for dfs.heartbeat.interval() assuming SECONDS
// :: WARN conf.Configuration: No unit for dfs.namenode.safemode.extension() assuming MILLISECONDS
// :: INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
// :: INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.min.datanodes =
// :: INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.extension =
// :: INFO blockmanagement.BlockManager: defaultReplication =
// :: INFO blockmanagement.BlockManager: maxReplication =
// :: INFO blockmanagement.BlockManager: minReplication =
// :: INFO blockmanagement.BlockManager: maxReplicationStreams =
// :: INFO blockmanagement.BlockManager: replicationRecheckInterval =
// :: INFO blockmanagement.BlockManager: encryptDataTransfer = false
// :: INFO blockmanagement.BlockManager: maxNumBlocksToLog =
// :: INFO namenode.FSNamesystem: Append Enabled: true
// :: INFO namenode.FSDirectory: GLOBAL serial map: bits= maxEntries=
// :: INFO util.GSet: Computing capacity for map INodeMap
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 1.0% max memory MB = 8.9 MB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO namenode.FSDirectory: ACLs enabled? false
// :: INFO namenode.FSDirectory: XAttrs enabled? true
// :: INFO namenode.NameNode: Caching file names occurring more than times
// :: INFO snapshot.SnapshotManager: Loaded config captureOpenFiles: falseskipCaptureAccessTimeOnlyChange: false
// :: INFO util.GSet: Computing capacity for map cachedBlocks
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 0.25% max memory MB = 2.2 MB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets =
// :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users =
// :: INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = ,,
// :: INFO namenode.FSNamesystem: Retry cache on namenode is enabled
// :: INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is millis
// :: INFO util.GSet: Computing capacity for map NameNodeRetryCache
// :: INFO util.GSet: VM type = -bit
// :: INFO util.GSet: 0.029999999329447746% max memory MB = 273.1 KB
// :: INFO util.GSet: capacity = ^ = entries
// :: INFO namenode.FSImage: Allocated new BlockPoolId: BP--172.30.1.101-
// :: INFO common.Storage: Storage directory /data/hadoop/hdfs/dfs/name1 has been successfully formatted.
// :: INFO common.Storage: Storage directory /data/hadoop/hdfs/dfs/name2 has been successfully formatted.
// :: INFO common.Storage: Storage directory /data/hadoop/hdfs/dfs/name3 has been successfully formatted.
// :: INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/hdfs/dfs/name3/current/fsimage.ckpt_0000000000000000000 using no compression
// :: INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/hdfs/dfs/name1/current/fsimage.ckpt_0000000000000000000 using no compression
// :: INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/hdfs/dfs/name2/current/fsimage.ckpt_0000000000000000000 using no compression
// :: INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/hdfs/dfs/name1/current/fsimage.ckpt_0000000000000000000 of size bytes saved in seconds .
// :: INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/hdfs/dfs/name2/current/fsimage.ckpt_0000000000000000000 of size bytes saved in seconds .
// :: INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/hdfs/dfs/name3/current/fsimage.ckpt_0000000000000000000 of size bytes saved in seconds .
// :: INFO namenode.NNStorageRetentionManager: Going to retain images with txid >=
// :: INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at node101.yinzhengjie.org.cn/172.30.1.101
************************************************************/
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# hdfs namenode -format #需要格式化
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/
total
drwx------. root root Apr : data
drwxr-xr-x. root root Apr : name
drwxr-xr-x. root root Apr : name1
drwxr-xr-x. root root Apr : name2
drwxr-xr-x. root root Apr : name3
drwxr-xr-x. root root Apr : namesecondary
[root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# ll /data/hadoop/hdfs/dfs/
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# ll name1/current/
total
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000001
-rw-r--r--. root root Apr : fsimage_0000000000000000000
-rw-r--r--. root root Apr : fsimage_0000000000000000000.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cat name1/current/VERSION
#Fri Apr :: CST
namespaceID=
clusterID=CID-e7603940-eaba-4ce6-9ecd-3a449027b432
cTime=
storageType=NAME_NODE
blockpoolID=BP--172.30.1.101-
layoutVersion=-
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cat name1/current/VERSION
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# ll name2/current/
total
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000001
-rw-r--r--. root root Apr : fsimage_0000000000000000000
-rw-r--r--. root root Apr : fsimage_0000000000000000000.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cat name2/current/VERSION
#Fri Apr :: CST
namespaceID=
clusterID=CID-e7603940-eaba-4ce6-9ecd-3a449027b432
cTime=
storageType=NAME_NODE
blockpoolID=BP--172.30.1.101-
layoutVersion=-
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cat name2/current/VERSION
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# ll name3/current/
total
-rw-r--r--. root root Apr : edits_inprogress_0000000000000000001
-rw-r--r--. root root Apr : fsimage_0000000000000000000
-rw-r--r--. root root Apr : fsimage_0000000000000000000.md5
-rw-r--r--. root root Apr : seen_txid
-rw-r--r--. root root Apr : VERSION
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cat name3/current/VERSION
#Fri Apr :: CST
namespaceID=
clusterID=CID-e7603940-eaba-4ce6-9ecd-3a449027b432
cTime=
storageType=NAME_NODE
blockpoolID=BP--172.30.1.101-
layoutVersion=-
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cat name3/current/VERSION
上面的方式是第一次安装NameNode时我们可以这样配置，但是如果你的集群已经在正常运行了一段咋办呢？（换句话说，就是现在正在运行的集群有数据，不能轻易删除！）其实很简单，我们把正在运行的数据拷贝到配置文件中指定的目录即可，案例如下：
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# ll
total
drwx------. root root Apr : data
drwxr-xr-x. root root Apr : name
drwxr-xr-x. root root Apr : name1
drwxr-xr-x. root root Apr : name2
drwxr-xr-x. root root Apr : name3
drwxr-xr-x. root root Apr : namesecondary
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# ll
[root@node101.yinzhengjie.org.cn ~]# cat /yinzhengjie/softwares/hadoop-2.9./etc/hadoop/hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration>
<property>
<name>dfs.namenode.checkpoint.period</name>
<value></value>
</property> <property>
<name>dfs.namenode.name.dir</name>
<value>/data/hadoop/hdfs/dfs/name4,/data/hadoop/hdfs/dfs/name5,/data/hadoop/hdfs/dfs/name6</value>
</property> <property>
<name>dfs.replication</name>
<value></value>
</property> </configuration> <!--
hdfs-site.xml 配置文件的作用：
#HDFS的相关设定，如文件副本的个数、块大小及是否使用强制权限等，此中的参数定义会覆盖hdfs-default.xml文件中的默认配置. dfs.namenode.checkpoint.period 参数的作用：
#两个定期检查点之间的秒数,默认是3600，即1小时。 dfs.namenode.name.dir 参数的作用：
#指定namenode的工作目录，默认是file://${hadoop.tmp.dir}/dfs/name,namenode的本地目录可以配置成多个，且每个目录存放内容相同，增加了可靠性。建议配置的多目录用不同磁盘挂在，这样可以提升IO性能！ dfs.replication 参数的作用：
#为了数据可用性及冗余的目的，HDFS会在多个节点上保存同一个数据块的多个副本，其默认为3个。而只有一个节点的伪分布式环境中其仅用
保存一个副本即可，这可以通过dfs.replication属性进行定义。它是一个软件级备份。 --> [root@node101.yinzhengjie.org.cn ~]#
[root@node101.yinzhengjie.org.cn ~]# cat /yinzhengjie/softwares/hadoop-2.9.2/etc/hadoop/hdfs-site.xml
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cp -r name1 name4
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cp -r name1 name5
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# cp -r name1 name6
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]# ll
total
drwx------. root root Apr : data
drwxr-xr-x. root root Apr : name
drwxr-xr-x. root root Apr : name1
drwxr-xr-x. root root Apr : name2
drwxr-xr-x. root root Apr : name3
drwxr-xr-x. root root Apr : name4
drwxr-xr-x. root root Apr : name5
drwxr-xr-x. root root Apr : name6
drwxr-xr-x. root root Apr : namesecondary
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#
[root@node101.yinzhengjie.org.cn /data/hadoop/hdfs/dfs]#