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。
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>]
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
上述命令将在hbase数据库中新建一个表，表名为${id}_webpage，若未指定id，则表名为webpage.
然后将urls目录中的文件内容写入表中，作为爬虫种子。
hbase(main):003:0> scan 'webpage'
ROW COLUMN+CELL
com.163.www:http/ column=f:fi, timestamp=1419085934952, value=\x00'\x8D\x00
com.163.www:http/ column=f:ts, timestamp=1419085934952, value=\x00\x00\x01Jh
\x1C\xBC7
com.163.www:http/ column=mk:_injmrk_, timestamp=1419085934952, value=y
com.163.www:http/ column=mk:dist, timestamp=1419085934952, value=0
com.163.www:http/ column=mtdt:_csh_, timestamp=1419085934952, value=?\x80\x0
0\x00
com.163.www:http/ column=s:s, timestamp=1419085934952, value=?\x80\x00\x00
1 row(s) in 0.6140 seconds
3、其它运行脚本
where COMMAND is one of: inject inject new urls into the database hostinject creates or updates an existing host table from a text file generate generate new batches to fetch from crawl db fetch fetch URLs marked during generate parse parse URLs marked during fetch updatedb update web table after parsing updatehostdb update host table after parsing readdb read/dump records from page database readhostdb display entries from the hostDB elasticindex run the elasticsearch indexer solrindex run the solr indexer on parsed batches solrdedup remove duplicates from solr parsechecker check the parser for a given url indexchecker check the indexing filters for a given url plugin load a plugin and run one of its classes main() nutchserver run a (local) Nutch server on a user defined port junit runs the given JUnit test or CLASSNAME run the class named CLASSNAME Most commands print help when invoked w/o parameters.
当使用crawl命令进行抓取任务时，其基本流程步骤如下：
（1）InjectorJob
开始第一个迭代
（2）GeneratorJob
（3）FetcherJob
（4）ParserJob
（5）DbUpdaterJob
（6）SolrIndexerJob
开始第二个迭代
（2）GeneratorJob
（3）FetcherJob
（4）ParserJob
（5）DbUpdaterJob
（6）SolrIndexerJob
开始第三个迭代
具体每个步骤的执行，请见http://blog.csdn.net/jediael_lu/article/details/38591067
4、nutch封装了一个crawl脚本，将各个关键步骤进行了封装，从而无需逐步运行抓取流程。
[jediael@jediael local]$ bin/crawl Missing seedDir : crawl <seedDir> <crawlID> <solrURL> <numberOfRounds>
[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
原文地址：http://blog.csdn.net/jediael_lu/article/details/42058553
