全文搜索引擎coreseek安装配置(sphinx)

一、以下安装配置均经过实践检验，下文所有查询语句均为实际生成过程中的数据字段 1、特别说明安装次shpinx需要mysql环境，请先安装mysql5.6及以上版本安装开始： 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 cdcoreseek-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 ..

5. 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
全文搜索引擎coreseek安装配置(sphinx)

##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 );   CREATE TABLE sph_counter1 ( 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
source main
{
        type    = mysql
        sql_host = localhost
        sql_user = root
        sql_pass = root
        sql_db = db         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/...    #binlog_path     =                                              #关闭binlog日志 }

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

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全文搜索引擎coreseek安装配置(sphinx)

下面开始sphinx与mysql的配置

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