sphinx.config

实时的分布式sphinx索引配置及使用方法总结 coreseek文档：http://sphinxsearch.com/wiki/doku.php?id=sphinx_manual_chinese#需要的工具 需要更改/usr/local/coreseek/var/data 下的目录权限

安装开始：
 cd /data/softwore
 wget  http://www.coreseek.cn/uploads/csft/4.0/coreseek-4.1-beta.tar.gz(只安装中文分词mmseg3)
 tar zxvf coreseek-4.1-beta.tar.gz
 cd coreseek-4.1-beta.tar.gz/
 安装mmseg
 $ cd mmseg-3.2.14  //根据具体的版本而定
 $ ./bootstrap    #输出的warning信息可以忽略，如果出现error则需要解决
 $ ./configure --prefix=/usr/local/mmseg3
 $ make && make install
 $ cd ..
 生成字典
 因为用到中文分词，需要生成字典，去安装目录，比如我的是 /home/changyou/mmseg.3.0b3/data/
 mmseg -u unigram.txt 该命令执行后，将会产生一个名为unigram.txt.uni的文件，将该文件改名为uni.lib，完成词
 遇到的问题:
 error: cannot find input file: src/Makefile.in
 或者遇到其他类似error错误时...
 解决方案：
 依次执行下面的命令，我运行'aclocal'时又出现了错误，解决方案请看下文描述
 yum -y install libtool
 aclocal
 libtoolize --force
 automake --add-missing
 autoconf
 autoheader
 make clean
 #####安装sphinx
 $ cd csft-4.1
 $ sh buildconf.sh    #输出的warning信息可以忽略，如果出现error则需要解决
 $ ./configure --prefix=/usr/local/sphinx  --without-unixodbc --with-mmseg --with-mmseg-includes=/usr/local/mmseg3/include/mmseg/ --with-mmseg-libs=/usr/local/mmseg3/lib/ --with-mysql-includes=/usr/local/webserver/mysql/include/mysql --with-mysql-libs=/usr/local/webserver/mysql/lib/mysql  //此处的MySQL依赖库需要根据具体安装的MySQL路径有关/lib/mysql/为文件夹,有些系统没有mysql文件夹 直接指定到include或lib下即
#####如果提示mysql问题，可以查看MySQL数据源安装说明
$ make && make install
$ cd ..
#####测试mmseg分词，coreseek搜索（需要预先设置好字符集为zh_CN.UTF-8，确保正确显示中文）
$ cd testpack
$ cat var/test/test.xml    #此时应该正确显示中文
$ /usr/local/mmseg3/bin/mmseg -d /usr/local/mmseg3/etc var/test/test.xml



  安装sphinx报错解决方法如下：
  打开sphinx-2.1.9.release下的configure
  可能遇到的问题：
  如果提示libtool: unrecognized option `--tag=CC' ，请查看libtool问题解决方案
  有的系统下可能出现：expected `;' before ‘CSphTokenizer_UTF8SpaceSeg’，
  或者出现：configure: WARNING: unrecognized options: --with-mmseg, --with-mmseg-includes, --with-mmseg-libs
  是因为你没有进行随后的sh buildconf.sh操作
  生成当前系统对应的编译配置文件
  需要使用以下指令：
  $ sh buildconf.sh
  ## Linux环境下，如遇到pthread问题，请先直接执行以下指令在进行configur：
  $ LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib
  $ export LD_LIBRARY_PATH
  ########如果出现undefined reference to `libiconv'的类似错误，可以按照如下方法处理：
  ########方法一：（Linux使用）
  ######## 直接执行：export LIBS="-liconv"
  #######然后make clean，再次configure后，进行编译安装make && make install
  ######## 方法二：
  ######## 首先configure，然后vim src/makefile
  ######## 在其中搜索lexpat，在其后加上 -liconv
  ######## 修改后该行应该为：-lexpat -liconv -L/usr/local/lib
  ######## 然后再次make && make install
  ######## 方法三：
  ######## 首先configure，然后vim config/config.h
  ######## 在其中搜索USE_LIBICONV，将其后的1修改为0
  ######## 然后再次make && make install
  下面开始sphinx与mysql的配置
  创建sphinx统计表，在coreseek_test库中执行。
  CREATE TABLE sph_counter
  (
       counter_id INTEGER PRIMARY KEY NOT NULL,
       max_doc_id INTEGER NOT NULL
  );
 配置数据源文件


vi /usr/local/sphinx/etc/sphinx.conf
写入如下内容配置
source main
{
       type    = mysql
       sql_host = localhost ＃此处为数据库地址
       sql_user = root #用户名
       sql_pass = root #密码
       sql_db  = db #数据库名称
       sql_port = 3306
       sql_sock = /tmp/mysql.sock (不是必须)
       sql_query_pre   = SET NAMES utf8
       sql_query_pre = REPLACE INTO sph_counter_product SELECT 1,MAX(id) from job
       #数据库中读取数据的sql
       sql_query  = SELECT id,name,companyname,radians(lat) as lat,radians(lng) as lng,salary,education,jobtype,secondtype,UNIX_TIMESTAMP(ctime) As ctime,UNIX_TIMESTAMP(mtime) As mtime from job where id<=(SELECT max_doc_id FROM sph_counter_product WHERE counter_id=1)
       #支持全文索引
       sql_field_string = name
       #支持属性过滤
       sql_attr_string = companyname
       sql_attr_float = lat
       sql_attr_float = lng
       sql_attr_uint = salary
       #sql_attr_uint = id
       sql_attr_uint = education
       sql_attr_uint = jobtype
       sql_attr_uint = secondtype
       sql_attr_timestamp = ctime
       sql_attr_timestamp = mtime
       sql_query_info_pre      = SET NAMES utf8
       sql_query_info  = SELECT id,name,companyname,radians(lat) as lat,radians(lng) as lng,salary,education,jobtype,secondtype,UNIX_TIMESTAMP(ctime) As ctime,UNIX_TIMESTAMP(mtime) As mtime FROM job order by ctime desc
}
source delta : main
{
   sql_query_pre           = SET NAMES utf8
   sql_query               = SELECT id,name,companyname,radians(lat) as lat,radians(lng) as lng,salary,education,jobtype,secondtype,UNIX_TIMESTAMP(ctime) As ctime,UNIX_TIMESTAMP(mtime) As mtime FROM job WHERE id>(SELECT max_doc_id FROM sph_counter_product WHERE counter_id=1 )
   sql_query_post_index    = REPLACE INTO sph_counter_product SELECT 1,MAX(id) FROM job
}
#####index 定义
index main
{
        source  = main
        path    = /usr/local/sphinx/var/data/mysql
        docinfo = extern
        mlock   = 0
        morphology      = none
        min_word_len    = 1
        html_strip      = 0
        charset_dictpath     = /usr/local/mmseg3/etc/
        charset_type        = zh_cn.utf-8
 }
index delta : main
{
    source          = delta
    path            = /usr/local/sphinx/var/data/delta
}
#全局index定义
indexer
{
    mem_limit            = 256M
}
searchd
{
    listen              = 9312
    read_timeout        = 5
    max_children        = 30
    max_matches         = 1000
    seamless_rotate     = 0
    preopen_indexes     = 0
    #attr_flush_period = 300
    #compat_sphinxql_magics        = 0 (默认不监听)
    unlink_old          = 1
    pid_file         = /usr/local/sphinx/var/log/searchd_mysql.pid   #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
    log             = /usr/local/sphinx/var/log/searchd_mysql.log        #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
    query_log         = /usr/local/sphinx/var/log/query_mysql.log    #请修改为实际使用的绝对路径，例如：/usr/local/coreseek/var/...
   }
  上面为数据源配置
  调用命令列表：
  执行索引（查询、测试前必须执行一次）


 /usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf --all --rotate
 启动后台服务（必须开启）


 /usr/local/sphinx/bin/searchd -c /usr/local/sphinx/etc/sphinx.conf
 启动报错 找不到mysql.sock 解决方法：
 使用软链接 ln -s  /tmp/mysql.sock /var/lib/mysql/mysql.sock
 执行增量索引


 /usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf delta --rotate
 合并索引


 /usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf --merge main delta --rotate --merge-dst-range deleted 0 0
 (为了防止多个关键字指向同一个文档加上--merge-dst-range deleted 0 0)
 后台服务测试


 /usr/local/coreseek/bin/search -c /usr/local/coreseek/etc/csft_mysql.conf  aaa
 关闭后台服务


 /usr/local/sphinx/bin/searchd -c /usr/local/sphinx/etc/sphinx.conf --stop
 自动化命令：


 crontab -e
 */1 * * * * /bin/sh /usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf delta --rotate
 */5 * * * * /bin/sh /usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf --merge main delta --rotate --merge-dst-range deleted 0 0
 30 1 * * *  /bin/sh /usr/local/sphinx/bin/indexer -c /usr/local/sphinx/etc/sphinx.conf --all --rotate
 以下任务计划的意思是：每隔一分钟执行一遍增量索引，每五分钟执行一遍合并索引，每天1:30执行整体索引。
 分布式配置


 index dist
 {
          type                            = distributed
          agent                           = 127.0.0.1:9313:index_3307_0
          agent                           = 127.0.0.1:9313:index_3307_0_delta
          agent                           = 127.0.0.1:9314:index_3307_1
          agent                           = 127.0.0.1:9314:index_3307_1_delta
          agent                           = 127.0.0.1:9316:index_3308_0
          agent                           = 127.0.0.1:9316:index_3308_0_delta
          agent                           = 127.0.0.1:9317:index_3308_1
          agent                           = 127.0.0.1:9317:index_3308_1_delta
          agent                           = 127.0.0.1:9319:index_3309_0
          agent                           = 127.0.0.1:9319:index_3309_0_delta
          agent                           = 127.0.0.1:9320:index_3309_1
          agent                           = 127.0.0.1:9320:index_3309_1_delta
          agent_query_timeout             = 100000
 }
indexer
 {
     mem_limit           = 1024M
 }
searchd
 {
     listen              = 9312
     read_timeout        = 5
     max_children        = 30
     max_matches         = 6000
     seamless_rotate     = 1
     preopen_indexes     = 1
     unlink_old          = 1
     compat_sphinxql_magics=0
     query_log_format    = sphinxql
     pid_file            = /usr/local/coreseek/var/log/searchd_mysql.pid
     log                 = /usr/local/coreseek/var/log/searchd_mysql.log
     query_log           = /usr/local/coreseek/var/log/query_mysql.log
    #workers            = threads
     dist_threads = 6  #几台分布式机器
 }
最后记得加入到开机命令中：
vi /etc/rc.local
query(“销售”, “dist”); //dist主的分布式机器索引名