sphinx 全文搜索应用(一)

一.安装配置 安装参见： http://www.ttlsa.com/html/1236.html 配置如下： # vi sphinx.conf # source块设置数据源

source src1
{
type = mysql
sql_host = localhost
sql_user = root
sql_pass =
sql_db = sphinx
sql_port = 3306 # optional, default is 3306
sql_query = \
SELECT id, group_id, UNIX_TIMESTAMP(date_added) AS date_added, title, content \
FROM documents
sql_attr_uint = group_id
sql_attr_timestamp = date_added
sql_query_info = SELECT * FROM documents WHERE id=$id
}

# index块设置索引保存目录等

index test1
{
source = src1
path = /data/sphinx/
docinfo = extern
charset_type = sbcs
}

# indexer块设置索引选项，比如内存限制大小

indexer
{
mem_limit = 32M
}

# searchd块设置搜索索引时使用的选项

searchd
{
port = 9312
log = /var/log/searchd.log
query_log = /var/log/query.log
read_timeout = 5
max_children = 30
pid_file = /var/log/searchd.pid
max_matches = 1000
seamless_rotate = 1
preopen_indexes = 0
unlink_old = 1
}

二.新建相关表

mysql> CREATE TABLE documents
-> (
-> id INTEGER PRIMARY KEY NOT NULL AUTO_INCREMENT,
-> group_id INTEGER NOT NULL,
-> group_id2 INTEGER NOT NULL,
-> date_added DATETIME NOT NULL,
-> title VARCHAR(255) NOT NULL,
-> content TEXT NOT NULL
-> );
Query OK, 0 rows affected (0.00 sec)

mysql> REPLACE INTO documents ( id, group_id, group_id2, date_added, title, content ) VALUES
-> ( 1, 1, 5, NOW(), 'test one', 'this is my test document number one. also checking search within phrases.' ),
-> ( 2, 1, 6, NOW(), 'test two', 'this is my test document number two' ),
-> ( 3, 2, 7, NOW(), 'another doc', 'this is another group' ),
-> ( 4, 2, 8, NOW(), 'doc number four', 'this is to test groups' );
Query OK, 4 rows affected (0.02 sec)
Records: 4 Duplicates: 0 Warnings: 0

mysql> CREATE TABLE tags
-> (
-> docid INTEGER NOT NULL,
-> tagid INTEGER NOT NULL,
-> UNIQUE(docid,tagid)
-> );
Query OK, 0 rows affected (0.01 sec)

mysql> INSERT INTO tags VALUES
-> (1,1), (1,3), (1,5), (1,7),
-> (2,6), (2,4), (2,2),
-> (3,15),
-> (4,7), (4,40);
Query OK, 10 rows affected (0.02 sec)
Records: 10 Duplicates: 0 Warnings: 0

三.创建索引 # indexer --all using config file '/etc/sphinxsearch/sphinx.conf'... indexing index 'test1'... collected 4 docs, 0.0 MB sorted 0.0 Mhits, 100.0% done total 4 docs, 193 bytes total 0.072 sec, 2644 bytes/sec, 54.80 docs/sec total 3 reads, 0.000 sec, 0.1 kb/call avg, 0.0 msec/call avg total 9 writes, 0.000 sec, 0.1 kb/call avg, 0.0 msec/call avg   四.测试 # search test using config file '/etc/sphinxsearch/sphinx.conf'... index 'test1': query 'test ': returned 3 matches of 3 total in 0.022 sec   displaying matches: 1. document=1, weight=2421, group_id=1, date_added=Fri Jun 15 15:58:41 2012 id=1 group_id=1 group_id2=5 date_added=2012-06-15 15:58:41 title=test one content=this is my test document number one. also checking search within phrases. 2. document=2, weight=2421, group_id=1, date_added=Fri Jun 15 15:58:41 2012 id=2 group_id=1 group_id2=6 date_added=2012-06-15 15:58:41 title=test two content=this is my test document number two 3. document=4, weight=1442, group_id=2, date_added=Fri Jun 15 15:58:41 2012 id=4 group_id=2 group_id2=8 date_added=2012-06-15 15:58:41 title=doc number four content=this is to test groups   words: 1. 'test': 3 documents, 5 hits   五.使用sphinx php API测试 1.将sphinxapi.php(此文件在源码api目录下)拷贝到正确位置(取决于个人环境) # vi search.php

<?php
require_once "sphinxapi.php";
$search = new SphinxClient;
$search->setServer("localhost", 9312);
$search->setMatchMode(SPH_MATCH_ANY);
$search->SetArrayResult ( true );
$search->setMaxQueryTime(3);

print_r($search->query("test")); //"test"为要搜索的词
?>

结果如下：

Array
(
	[error] =>
	[warning] =>
	[status] => 0
	[fields] => Array
			(
			[0] => title
			[1] => content
			)

	[attrs] => Array

			(
			[group_id] => 1
			[date_added] => 2
			)

	[matches] => Array //匹配的结果
			(
			[0] => Array
				(
				[id] => 1
				[weight] => 2
				[attrs] => Array
						(
						[group_id] => 1
						[date_added] => 1339747121
						)
				)

			[1] => Array
					(
					[id] => 2
					[weight] => 2
					[attrs] => Array
							(
							[group_id] => 1
							[date_added] => 1339747121
							)
					)
			[2] => Array
					(
					[id] => 4
					[weight] => 1
					[attrs] => Array
							(
							[group_id] => 2
							[date_added] => 1339747121
							)
					)
			)

	[total] => 3
	[total_found] => 3
	[time] => 0.000
	[words] => Array
			(
			[test] => Array
					(
					[docs] => 3
					[hits] => 5
					)
			)
)

说明: [docs] => 3有三条结果想匹配,[hits] => 5命中5次,与数据库相对应的id是1,2,4.耗时[time] => 0.000 查询数据库结果如下： mysql> select *, (select unix_timestamp(date_added)) as ut from documents where id in (1,2,4); +----+----------+-----------+---------------------+-----------------+---------------------------------------------------------------------------+------------+ | id | group_id | group_id2 | date_added | title | content | ut | +----+----------+-----------+---------------------+-----------------+---------------------------------------------------------------------------+------------+ | 1 | 1 | 5 | 2012-06-15 15:58:41 | test one | this is my test document number one. also checking search within phrases. | 1339747121 | | 2 | 1 | 6 | 2012-06-15 15:58:41 | test two | this is my test document number two | 1339747121 | | 4 | 2 | 8 | 2012-06-15 15:58:41 | doc number four | this is to test groups | 1339747121 | +----+----------+-----------+---------------------+-----------------+---------------------------------------------------------------------------+------------+ 3 rows in set (0.00 sec) 因此对于大量数据，为了提高查询速度，可以先通过sphinx查找出id，再通过id来查询数据库数据。 如需转载请注明出处：http://www.ttlsa.com/html/1346.html