【Nutch基础教程之七】Nutch的2种运行模式：local及deploy
在对nutch源代码运行ant runtime后，会创建一个runtime的目录，在runtime目录下有deploy和local 2个目录。
[jediael@jediael runtime]$ ls
deploy local
这2个目录分别代表nutch的2种运行方式：部署模式及本地模式。
1、nutch.sh中关于2种运行方式的执行
if $local; then
# fix for the external Xerces lib issue with SAXParserFactory
NUTCH_OPTS="-Djavax.xml.parsers.DocumentBuilderFactory=com.sun.org.apache.xerces.internal.jaxp.DocumentBuilderFactoryImpl $NUTCH_OPTS"
EXEC_CALL="$JAVA $JAVA_HEAP_MAX $NUTCH_OPTS -classpath $CLASSPATH"
else
# check that hadoop can be found on the path
if [ $(which hadoop | wc -l ) -eq 0 ]; then
echo "Can't find Hadoop executable. Add HADOOP_HOME/bin to the path or run in local mode."
exit -1;
fi
# distributed mode
EXEC_CALL="hadoop jar $NUTCH_JOB"
fi # run it
exec $EXEC_CALL $CLASS "$@“
2、在deploy目录下执行命令即为deploy模式，local目录下执行命令即为local模式。
以下以inject为例，示范2种运行模式。
一、本地模式
1、基本用法：
$ bin/nutch inject
Usage: InjectorJob <url_dir> [-crawlId <id>]
用法一：未指定id
liaoliuqingdeMacBook-Air:local liaoliuqing$ bin/nutch inject urls
InjectorJob: starting at 2014-12-20 22:32:01
InjectorJob: Injecting urlDir: urls
InjectorJob: Using class org.apache.gora.hbase.store.HBaseStore as the Gora storage class.
InjectorJob: total number of urls rejected by filters: 0
InjectorJob: total number of urls injected after normalization and filtering: 1 Injector: finished at 2014-12-20 22:32:15, elapsed: 00:00:14
用法二：指定id
$ bin/nutch inject urls -crawlId 2
InjectorJob: starting at 2014-12-20 22:34:01
InjectorJob: Injecting urlDir: urls
InjectorJob: Using class org.apache.gora.hbase.store.HBaseStore as the Gora storage class.
InjectorJob: total number of urls rejected by filters: 0
InjectorJob: total number of urls injected after normalization and filtering: 1 Injector: finished at 2014-12-20 22:34:15, elapsed: 00:00:14
2、数据库中的数据变化
上述命令将在hbase数据库中新建一个表，表名为${id}_webpage，若未指定id，则表名为webpage.
然后将urls目录中的文件内容写入表中，作为爬虫种子。
hbase(main):003:0> scan 'webpage'
ROW COLUMN+CELL
com.163.www:http/ column=f:fi, timestamp=1419085934952, value=\x00'\x8D\x00
com.163.www:http/ column=f:ts, timestamp=1419085934952, value=\x00\x00\x01Jh
\x1C\xBC7
com.163.www:http/ column=mk:_injmrk_, timestamp=1419085934952, value=y
com.163.www:http/ column=mk:dist, timestamp=1419085934952, value=0
com.163.www:http/ column=mtdt:_csh_, timestamp=1419085934952, value=?\x80\x0
0\x00
com.163.www:http/ column=s:s, timestamp=1419085934952, value=?\x80\x00\x00
1 row(s) in 0.6140 seconds
当再次执行inject命令时，会增加新的url进入表中。
3、其它运行脚本
where COMMAND is one of:
inject inject new urls into the database
hostinject creates or updates an existing host table from a text file
generate generate new batches to fetch from crawl db
fetch fetch URLs marked during generate
parse parse URLs marked during fetch
updatedb update web table after parsing
updatehostdb update host table after parsing
readdb read/dump records from page database
readhostdb display entries from the hostDB
elasticindex run the elasticsearch indexer
solrindex run the solr indexer on parsed batches
solrdedup remove duplicates from solr
parsechecker check the parser for a given url
indexchecker check the indexing filters for a given url
plugin load a plugin and run one of its classes main()
nutchserver run a (local) Nutch server on a user defined port
junit runs the given JUnit test
or
CLASSNAME run the class named CLASSNAME
Most commands print help when invoked w/o parameters.
可以逐步运行一个完整抓取流程中的各个步骤，形成一个整体的流程。
当使用crawl命令进行抓取任务时，其基本流程步骤如下：
（1）InjectorJob
开始第一个迭代
（2）GeneratorJob
（3）FetcherJob
（4）ParserJob
（5）DbUpdaterJob
（6）SolrIndexerJob
开始第二个迭代
（2）GeneratorJob
（3）FetcherJob
（4）ParserJob
（5）DbUpdaterJob
（6）SolrIndexerJob
开始第三个迭代
具体每个步骤的执行，请见http://blog.csdn.net/jediael_lu/article/details/38591067
4、nutch封装了一个crawl脚本，将各个关键步骤进行了封装，从而无需逐步运行抓取流程。
[jediael@jediael local]$ bin/crawl
Missing seedDir : crawl <seedDir> <crawlID> <solrURL> <numberOfRounds>
如：
[root@jediael44 bin]# ./crawl seed.txt TestCrawl http://localhost:8983/solr 2
二、部署模式
1、使用hadoop命令运行
注意：必须先启动hadoop及hbase。
[jediael@jediael deploy]$ hadoop jar apache-nutch-2.2.1.job org.apache.nutch.crawl.InjectorJob file:///opt/jediael/apache-nutch-2.2.1/runtime/deploy/urls/
14/12/20 23:26:50 INFO crawl.InjectorJob: InjectorJob: starting at 2014-12-20 23:26:50
14/12/20 23:26:50 INFO crawl.InjectorJob: InjectorJob: Injecting urlDir: file:/opt/jediael/apache-nutch-2.2.1/runtime/deploy/urls
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.3.2-1031432, built on 11/05/2010 05:32 GMT
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:host.name=jediael
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.version=1.7.0_51
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.home=/usr/java/jdk1.7.0_51/jre
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.class.path=/opt/jediael/hadoop-1.2.1/libexec/../conf:/usr/java/jdk1.7.0_51/lib/tools.jar:/opt/jediael/hadoop-1.2.1/libexec/..:/opt/jediael/hadoop-1.2.1/libexec/../hadoop-core-1.2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/asm-3.2.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/aspectjrt-1.6.11.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/aspectjtools-1.6.11.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-beanutils-1.7.0.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-beanutils-core-1.8.0.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-cli-1.2.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-codec-1.4.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-collections-3.2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-configuration-1.6.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-daemon-1.0.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-digester-1.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-el-1.0.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-httpclient-3.0.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-io-2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-lang-2.4.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-logging-1.1.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-logging-api-1.0.4.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-math-2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/commons-net-3.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/core-3.1.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/hadoop-capacity-scheduler-1.2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/hadoop-fairscheduler-1.2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/hadoop-thriftfs-1.2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/hsqldb-1.8.0.10.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jackson-core-asl-1.8.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jackson-mapper-asl-1.8.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jasper-compiler-5.5.12.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jasper-runtime-5.5.12.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jdeb-0.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jersey-core-1.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jersey-json-1.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jersey-server-1.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jets3t-0.6.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jetty-6.1.26.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jetty-util-6.1.26.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jsch-0.1.42.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/junit-4.5.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/kfs-0.2.2.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/log4j-1.2.15.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/mockito-all-1.8.5.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/oro-2.0.8.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/servlet-api-2.5-20081211.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/slf4j-api-1.4.3.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/slf4j-log4j12-1.4.3.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/xmlenc-0.52.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jsp-2.1/jsp-2.1.jar:/opt/jediael/hadoop-1.2.1/libexec/../lib/jsp-2.1/jsp-api-2.1.jar
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/opt/jediael/hadoop-1.2.1/libexec/../lib/native/Linux-amd64-64
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA>
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:os.version=2.6.32-431.17.1.el6.x86_64
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:user.name=jediael
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:user.home=/home/jediael
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Client environment:user.dir=/opt/jediael/apache-nutch-2.2.1/runtime/deploy
14/12/20 23:26:52 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=localhost:2181 sessionTimeout=180000 watcher=hconnection
14/12/20 23:26:52 INFO zookeeper.ClientCnxn: Opening socket connection to server localhost/127.0.0.1:2181
14/12/20 23:26:52 INFO zookeeper.ClientCnxn: Socket connection established to localhost/127.0.0.1:2181, initiating session
14/12/20 23:26:52 INFO zookeeper.ClientCnxn: Session establishment complete on server localhost/127.0.0.1:2181, sessionid = 0x14a5c24c9cf0657, negotiated timeout = 40000
14/12/20 23:26:52 INFO crawl.InjectorJob: InjectorJob: Using class org.apache.gora.hbase.store.HBaseStore as the Gora storage class.
14/12/20 23:26:55 INFO input.FileInputFormat: Total input paths to process : 1
14/12/20 23:26:55 INFO util.NativeCodeLoader: Loaded the native-hadoop library
14/12/20 23:26:55 WARN snappy.LoadSnappy: Snappy native library not loaded
14/12/20 23:26:56 INFO mapred.JobClient: Running job: job_201412202325_0002
14/12/20 23:26:57 INFO mapred.JobClient: map 0% reduce 0%
14/12/20 23:27:15 INFO mapred.JobClient: map 100% reduce 0%
14/12/20 23:27:17 INFO mapred.JobClient: Job complete: job_201412202325_0002
14/12/20 23:27:18 INFO mapred.JobClient: Counters: 20
14/12/20 23:27:18 INFO mapred.JobClient: Job Counters
14/12/20 23:27:18 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=14058
14/12/20 23:27:18 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0
14/12/20 23:27:18 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0
14/12/20 23:27:18 INFO mapred.JobClient: Rack-local map tasks=1
14/12/20 23:27:18 INFO mapred.JobClient: Launched map tasks=1
14/12/20 23:27:18 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=0
14/12/20 23:27:18 INFO mapred.JobClient: File Output Format Counters
14/12/20 23:27:18 INFO mapred.JobClient: Bytes Written=0
14/12/20 23:27:18 INFO mapred.JobClient: injector
14/12/20 23:27:18 INFO mapred.JobClient: urls_injected=3
14/12/20 23:27:18 INFO mapred.JobClient: FileSystemCounters
14/12/20 23:27:18 INFO mapred.JobClient: FILE_BYTES_READ=149
14/12/20 23:27:18 INFO mapred.JobClient: HDFS_BYTES_READ=130
14/12/20 23:27:18 INFO mapred.JobClient: FILE_BYTES_WRITTEN=78488
14/12/20 23:27:18 INFO mapred.JobClient: File Input Format Counters
14/12/20 23:27:18 INFO mapred.JobClient: Bytes Read=149
14/12/20 23:27:18 INFO mapred.JobClient: Map-Reduce Framework
14/12/20 23:27:18 INFO mapred.JobClient: Map input records=6
14/12/20 23:27:18 INFO mapred.JobClient: Physical memory (bytes) snapshot=106311680
14/12/20 23:27:18 INFO mapred.JobClient: Spilled Records=0
14/12/20 23:27:18 INFO mapred.JobClient: CPU time spent (ms)=2420
14/12/20 23:27:18 INFO mapred.JobClient: Total committed heap usage (bytes)=29753344
14/12/20 23:27:18 INFO mapred.JobClient: Virtual memory (bytes) snapshot=736796672
14/12/20 23:27:18 INFO mapred.JobClient: Map output records=3
14/12/20 23:27:18 INFO mapred.JobClient: SPLIT_RAW_BYTES=130
14/12/20 23:27:18 INFO crawl.InjectorJob: InjectorJob: total number of urls rejected by filters: 0
14/12/20 23:27:18 INFO crawl.InjectorJob: InjectorJob: total number of urls injected after normalization and filtering: 3
14/12/20 23:27:18 INFO crawl.InjectorJob: Injector: finished at 2014-12-20 23:27:18, elapsed: 00:00:27
三、附带使用eclipse运行nutch的方式
此方法本质上是与部署模式一致的。
使用eclipse运行InjectorJob
eclipse输出内容：
InjectorJob: starting at 2014-12-20 23:13:24
InjectorJob: Injecting urlDir: /Users/liaoliuqing/99_Project/2.x/urls
InjectorJob: Using class org.apache.gora.hbase.store.HBaseStore as the Gora storage class.
InjectorJob: total number of urls rejected by filters: 0
InjectorJob: total number of urls injected after normalization and filtering: 1 Injector: finished at 2014-12-20 23:13:27, elapsed: 00:00:02
【Nutch基础教程之七】Nutch的2种运行模式：local及deploy的更多相关文章
- 【Nutch基础教程之七】Nutch的2种执行模式：local及deploy
在对nutch源码执行ant runtime后,会创建一个runtime的文件夹.在runtime文件夹下有deploy和local 2个文件夹. [jediael@jediael runtime]$ ...
- spark学习(基础篇)--(第三节)Spark几种运行模式
spark应用执行机制分析 前段时间一直在编写指标代码,一直采用的是--deploy-mode client方式开发测试,因此执行没遇到什么问题,但是放到生产上采用--master yarn-clus ...
- 从零学习Fluter(八):Flutter的四种运行模式--Debug、Release、Profile和test以及命名规范
从零学习Fluter(八):Flutter的四种运行模式--Debug.Release.Profile和test以及命名规范 好几天没有跟新我的这个系列文章,一是因为这两天我又在之前的基础上,重新认识 ...
- PHP语言学习之php-fpm 三种运行模式
本文主要向大家介绍了PHP语言学习之php-fpm 三种运行模式,通过具体的内容向大家展示,希望对大家学习php语言有所帮助. php-fpm配置 配置文件:php-fpm.conf 开启慢日志功能的 ...
- Tomcat Connector三种运行模式（BIO, NIO, APR）的比较和优化
Tomcat Connector的三种不同的运行模式性能相差很大,有人测试过的结果如下: 这三种模式的不同之处如下: BIO: 一个线程处理一个请求.缺点:并发量高时,线程数较多,浪费资源. Tomc ...
- Spark on YARN两种运行模式介绍
本文出自:Spark on YARN两种运行模式介绍http://www.aboutyun.com/thread-12294-1-1.html(出处: about云开发) 问题导读 1.Spark ...
- spark on mesos 两种运行模式
spark on mesos 有粗粒度(coarse-grained)和细粒度(fine-grained)两种运行模式,细粒度模式在spark2.0后开始弃用. 细粒度模式 优点 spark默认运行的 ...
- 转:Windows下的PHP开发环境搭建——PHP线程安全与非线程安全、Apache版本选择，及详解五种运行模式。
原文来自于:http://www.ituring.com.cn/article/128439 Windows下的PHP开发环境搭建——PHP线程安全与非线程安全.Apache版本选择,及详解五种运行模 ...
- Spark on YARN的两种运行模式
Spark on YARN有两种运行模式,如下 1.yarn-cluster:适合于生产环境. Spark的Driver运行在ApplicationMaster中,它负责向YARN Re ...
随机推荐
- POJ2151 动态规划
#include <iostream> #include <cstring> #include <cstdio> using namespace std; int ...
- JS模拟键盘事件 -- 原理及小例子
提问: 键盘默认事件,比如tab切换,alt+f4关闭,ctrl+t新建等,如果不想通过键盘而是一些按钮点击来触发这些功能,该咋办呢? 例子: 先以tab为例上一个小例子: <!DOCTYPE ...
- Android再学习-20141023-Intent-Thread
20141023-Android再学习 Intent对象的基本概念 Intent是Android应用程序组件之一 Intent对象在Android系统中表示一种意图 Intent当中最重要的内容是ac ...
- python学习第七天 -- dict 和set
今天主要学习关于python 的dict(全称dictionary)和set.dict的用法跟javascript 中map表类似,key + value结构语言.而set,准确来说,只是key的集合 ...
- 文成小盆友python-num5 -装饰器回顾，模块，字符串格式化
一.装饰器回顾与补充 单层装饰器: 如上篇文章所讲单层装饰器指一个函数用一个装饰器来装饰,即在函数执行前或者执行后用于添加相应的操作(如判断某个条件是否满足). 具体请见如下: 单层装饰器 双层装饰器 ...
- linux_grep
grep常用的命令行选项: 选项 说明 -c 只显示有多少行匹配,而不具体显示匹配的行. -h 不显示文件名. -i 在字符串比较的时候忽略大小写. -l 只显示包含匹配模板的行的文件名清单. -L ...
- Portal技术介绍
Portal技术介绍 Portal是web应用发展的一个重要趋势,目前几乎所有大的软件厂商都有自己的Portal产品.并且Portal技术已经形成规范.本文对Portal技术和产品进行了分析,目的 ...
- ubuntu 12.04 下搭接Qt 嵌入式开发环境
1.安装前的准备工作 (1)有ubuntu12.04 的系统镜像(也可以其他linux 如Fedorea9),都是安装好的 (2)虚拟机VMWare 或 VirtualBox ,两者都可以,都是安装好 ...
- ubuntu 终端只显示当前目录名称
修改.bashrc文件: 原来: #修改终端提示颜色 color_prompt=yes if [ "$color_prompt" = yes ]; then PS1='${debi ...
- Powershell使用管道
管道并不是什么新事物,以前的Cmd控制台也有重定向的命令,例如Dir | More可以将结果分屏显示.传统的Cmd管道是基于文本的,但是Powershell是基于对象. PS> ls | Sor ...