sphinx实现增量索引分布式索引几个例子

发布时间：2022-06-28 14:04 所属栏目：115 来源：互联网

导读：增量索引分布式索我们可以这样理解增加就是在原基础上增加,分布式索是我们不够多了,要从别人那里拿或放到别人那边去,增量索引,其实就是增加的内容,例如:存款有100块,今天挣了10块,这10块就是增量了. 分布式索引,可以这样理解,想开公司钱不够,需要向很多人借

　　增量索引分布式索我们可以这样理解增加就是在原基础上增加,分布式索是我们不够多了,要从别人那里拿或放到别人那边去,增量索引,其实就是增加的内容,例如:存款有100块,今天挣了10块,这10块就是增量了.

　　分布式索引,可以这样理解,想开公司钱不够,需要向很多人借钱,也就是把大家钱集中一起使用.

　　一,测试表和数据,代码如下:

　　mysql> desc sph_counter;
　　+------------+---------+------+-----+---------+-------+
　　| Field | Type | Null | Key | Default | Extra |
　　+------------+---------+------+-----+---------+-------+
　　| counter_id | int(11) | NO | PRI | NULL | |
　　| max_doc_id | int(11) | NO | | NULL | |
　　+------------+---------+------+-----+---------+-------+
　　2 rows in set (0.00 sec)
　　
　　mysql> desc orders;
　　+--------------+-------------+------+-----+---------+----------------+
　　| Field | Type | Null | Key | Default | Extra |
　　+--------------+-------------+------+-----+---------+----------------+
　　| id | int(11) | NO | PRI | NULL | auto_increment |
　　| user_id | int(11) | NO | | NULL | |
　　| create_time | datetime | NO | | NULL | |
　　| product_name | varchar(20) | NO | | NULL | |
　　| summary | text | NO | | NULL | |
　　+--------------+-------------+------+-----+---------+----------------+
　　5 rows in set (0.00 sec)
　　
　　mysql> select * from orders;
　　+----+------------+---------------------+----------------+--------------+
　　| id | user_id | create_time | product_name | summary |
　　+----+------------+---------------------+----------------+--------------+
　　| 9 | 1311895262 | 2014-08-01 00:24:54 | tank is 坦克 | 技术总监 |
　　| 10 | 1311895263 | 2014-08-01 00:24:54 | tank is 坦克 | 技术经理 |
　　| 11 | 1311895264 | 2014-08-01 00:24:54 | tank is 坦克 | DNB经理 |
　　| 12 | 1311895265 | 2014-08-01 00:24:54 | tank is 坦克 | 运维总监 |
　　+----+------------+---------------------+----------------+--------------+
　　4 rows in set (0.00 sec)
　　
　　mysql> desc users;
　　+----------+-------------+------+-----+---------+----------------+
　　| Field | Type | Null | Key | Default | Extra |
　　+----------+-------------+------+-----+---------+----------------+
　　| user_id | int(11) | NO | PRI | NULL | auto_increment |
　　| username | varchar(20) | NO | | NULL | |
　　+----------+-------------+------+-----+---------+----------------+
　　2 rows in set (0.00 sec)
　　--phpfensi.com
　　mysql> select * from users;
　　+------------+------------+
　　| user_id | username |
　　+------------+------------+
　　| 1311895262 | 张三 |
　　| 1311895263 | tank张二 |
　　| 1311895264 | tank张一 |
　　| 1311895265 | tank张 |
　　+------------+------------+
　　4 rows in set (0.00 sec)
　　二,sphinx.conf配置,代码如下:

　　source myorder
　　{
　　 type = mysql
　　 sql_host = localhost
　　 sql_user = root
　　 sql_pass =
　　 sql_db = test
　　 sql_query_pre = SET NAMES utf8
　　 sql_query_pre = SET SESSION query_cache_type=OFF
　　 sql_query_pre = REPLACE INTO sph_counter SELECT 1, MAX(id) FROM orders
　　 sql_query =
　　 SELECT a.id, a.user_id,b.username, UNIX_TIMESTAMP(a.create_time) AS create_time, a.product_name, a.summary
　　 FROM orders a left join users b on a.user_id = b.user_id
　　 sql_attr_uint = user_id
　　 sql_field_string = username
　　 sql_field_string = product_name
　　 sql_attr_timestamp = create_time
　　
　　 sql_ranged_throttle = 0
　　 #sql_query_info = SELECT * FROM orders WHERE id=$id
　　}
　　
　　source moreorder : myorder
　　{
　　 type = mysql
　　 sql_host = localhost
　　 sql_user = root
　　 sql_pass =
　　 sql_db = test
　　 sql_query_pre = SET NAMES utf8
　　 sql_query_pre = SET SESSION query_cache_type=OFF
　　 sql_query =
　　 SELECT a.id, a.user_id,b.username, UNIX_TIMESTAMP(a.create_time) AS create_time, a.product_name, a.summary
　　 FROM orders a left join users b on a.user_id = b.user_id where a.id > ( SELECT max_doc_id FROM sph_counter WHERE counter_id=1 )
　　 sql_attr_uint = user_id
　　 sql_field_string = username
　　 sql_field_string = product_name
　　 sql_attr_timestamp = create_time
　　
　　 sql_ranged_throttle = 0
　　 #sql_query_info = SELECT * FROM orders WHERE id=$id
　　}
　　
　　index myorder   //主索引
　　{
　　 source = myorder
　　 path = /usr/local/sphinx2/var/data/myorder
　　 docinfo = extern
　　 mlock = 0
　　 morphology = none
　　 min_word_len = 1
　　 #charset_type = zh_cn.utf-8
　　 html_strip = 1
　　 charset_table = U+FF10..U+FF19->0..9, 0..9, U+FF41..U+FF5A->a..z, U+FF21..U+FF3A->a..z,A..Z->a..z, a..z, U+0149, U+017F, U+0138, U+00DF, U+00FF, U+00C0..U+00D6->U+00E0..U+00F6,U+00E0..U+00F6, U+00D8..U+00DE->U+00F8..U+00FE, U+00F8..U+00FE, U+0100->U+0101, U+0101,U+0102->U+0103, U+0103, U+0104->U+0105, U+0105, U+0106->U+0107, U+0107, U+0108->U+0109,U+0109, U+010A->U+010B, U+010B, U+010C->U+010D, U+010D, U+010E->U+010F, U+010F,U+0110->U+0111, U+0111, U+0112->U+0113, U+0113, U+0114->U+0115, U+0115, U+0116->U+0117,U+0117, U+0118->U+0119, U+0119, U+011A->U+011B, U+011B, U+011C->U+011D, U+011D,U+011E->U+011F, U+011F, U+0130->U+0131, U+0131, U+0132->U+0133, U+0133, U+0134->U+0135,U+0135, U+0136->U+0137, U+0137, U+0139->U+013A, U+013A, U+013B->U+013C, U+013C,U+013D->U+013E, U+013E, U+013F->U+0140, U+0140, U+0141->U+0142, U+0142, U+0143->U+0144,U+0144, U+0145->U+0146, U+0146, U+0147->U+0148, U+0148, U+014A->U+014B, U+014B,U+014C->U+014D, U+014D, U+014E->U+014F, U+014F, U+0150->U+0151, U+0151, U+0152->U+0153,U+0153, U+0154->U+0155, U+0155, U+0156->U+0157, U+0157, U+0158->U+0159, U+0159,U+015A->U+015B, U+015B, U+015C->U+015D, U+015D, U+015E->U+015F, U+015F, U+0160->U+0161,U+0161, U+0162->U+0163, U+0163, U+0164->U+0165, U+0165, U+0166->U+0167, U+0167,U+0168->U+0169, U+0169, U+016A->U+016B, U+016B, U+016C->U+016D, U+016D, U+016E->U+016F,U+016F, U+0170->U+0171, U+0171, U+0172->U+0173, U+0173, U+0174->U+0175, U+0175,U+0176->U+0177, U+0177, U+0178->U+00FF, U+00FF, U+0179->U+017A, U+017A, U+017B->U+017C,U+017C, U+017D->U+017E, U+017E, U+0410..U+042F->U+0430..U+044F, U+0430..U+044F,U+05D0..U+05EA, U+0531..U+0556->U+0561..U+0586, U+0561..U+0587, U+0621..U+063A, U+01B9,U+01BF, U+0640..U+064A, U+0660..U+0669, U+066E, U+066F, U+0671..U+06D3, U+06F0..U+06FF,U+0904..U+0939, U+0958..U+095F, U+0960..U+0963, U+0966..U+096F, U+097B..U+097F,U+0985..U+09B9, U+09CE, U+09DC..U+09E3, U+09E6..U+09EF, U+0A05..U+0A39, U+0A59..U+0A5E,U+0A66..U+0A6F, U+0A85..U+0AB9, U+0AE0..U+0AE3, U+0AE6..U+0AEF, U+0B05..U+0B39,U+0B5C..U+0B61, U+0B66..U+0B6F, U+0B71, U+0B85..U+0BB9, U+0BE6..U+0BF2, U+0C05..U+0C39,U+0C66..U+0C6F, U+0C85..U+0CB9, U+0CDE..U+0CE3, U+0CE6..U+0CEF, U+0D05..U+0D39, U+0D60,U+0D61, U+0D66..U+0D6F, U+0D85..U+0DC6, U+1900..U+1938, U+1946..U+194F, U+A800..U+A805,U+A807..U+A822, U+0386->U+03B1, U+03AC->U+03B1, U+0388->U+03B5, U+03AD->U+03B5,U+0389->U+03B7, U+03AE->U+03B7, U+038A->U+03B9, U+0390->U+03B9, U+03AA->U+03B9,U+03AF->U+03B9, U+03CA->U+03B9, U+038C->U+03BF, U+03CC->U+03BF, U+038E->U+03C5,U+03AB->U+03C5, U+03B0->U+03C5, U+03CB->U+03C5, U+03CD->U+03C5, U+038F->U+03C9,U+03CE->U+03C9, U+03C2->U+03C3, U+0391..U+03A1->U+03B1..U+03C1,U+03A3..U+03A9->U+03C3..U+03C9, U+03B1..U+03C1, U+03C3..U+03C9, U+0E01..U+0E2E,U+0E30..U+0E3A, U+0E40..U+0E45, U+0E47, U+0E50..U+0E59, U+A000..U+A48F, U+4E00..U+9FBF,U+3400..U+4DBF, U+20000..U+2A6DF, U+F900..U+FAFF, U+2F800..U+2FA1F, U+2E80..U+2EFF,U+2F00..U+2FDF, U+3100..U+312F, U+31A0..U+31BF, U+3040..U+309F, U+30A0..U+30FF,U+31F0..U+31FF, U+AC00..U+D7AF, U+1100..U+11FF, U+3130..U+318F, U+A000..U+A48F,U+A490..U+A4CF
　　 ngram_len = 1
　　 ngram_chars = U+4E00..U+9FBF, U+3400..U+4DBF, U+20000..U+2A6DF, U+F900..U+FAFF,U+2F800..U+2FA1F, U+2E80..U+2EFF, U+2F00..U+2FDF, U+3100..U+312F, U+31A0..U+31BF,U+3040..U+309F, U+30A0..U+30FF,U+31F0..U+31FF, U+AC00..U+D7AF, U+1100..U+11FF,U+3130..U+318F, U+A000..U+A48F, U+A490..U+A4CF
　　}
　　
　　index moreorder : myorder   //增量索引
　　{
　　 source = moreorder
　　 path = /usr/local/sphinx2/var/data/moreorder
　　 docinfo = extern
　　 mlock = 0
　　 morphology = none
　　 min_word_len = 1
　　 #charset_type = zh_cn.utf-8
　　 html_strip = 1
　　 charset_table = U+FF10..U+FF19->0..9, 0..9, U+FF41..U+FF5A->a..z, U+FF21..U+FF3A->a..z,A..Z->a..z, a..z, U+0149, U+017F, U+0138, U+00DF, U+00FF, U+00C0..U+00D6->U+00E0..U+00F6,U+00E0..U+00F6, U+00D8..U+00DE->U+00F8..U+00FE, U+00F8..U+00FE, U+0100->U+0101, U+0101,U+0102->U+0103, U+0103, U+0104->U+0105, U+0105, U+0106->U+0107, U+0107, U+0108->U+0109,U+0109, U+010A->U+010B, U+010B, U+010C->U+010D, U+010D, U+010E->U+010F, U+010F,U+0110->U+0111, U+0111, U+0112->U+0113, U+0113, U+0114->U+0115, U+0115, U+0116->U+0117,U+0117, U+0118->U+0119, U+0119, U+011A->U+011B, U+011B, U+011C->U+011D, U+011D,U+011E->U+011F, U+011F, U+0130->U+0131, U+0131, U+0132->U+0133, U+0133, U+0134->U+0135,U+0135, U+0136->U+0137, U+0137, U+0139->U+013A, U+013A, U+013B->U+013C, U+013C,U+013D->U+013E, U+013E, U+013F->U+0140, U+0140, U+0141->U+0142, U+0142, U+0143->U+0144,U+0144, U+0145->U+0146, U+0146, U+0147->U+0148, U+0148, U+014A->U+014B, U+014B,U+014C->U+014D, U+014D, U+014E->U+014F, U+014F, U+0150->U+0151, U+0151, U+0152->U+0153,U+0153, U+0154->U+0155, U+0155, U+0156->U+0157, U+0157, U+0158->U+0159, U+0159,U+015A->U+015B, U+015B, U+015C->U+015D, U+015D, U+015E->U+015F, U+015F, U+0160->U+0161,U+0161, U+0162->U+0163, U+0163, U+0164->U+0165, U+0165, U+0166->U+0167, U+0167,U+0168->U+0169, U+0169, U+016A->U+016B, U+016B, U+016C->U+016D, U+016D, U+016E->U+016F,U+016F, U+0170->U+0171, U+0171, U+0172->U+0173, U+0173, U+0174->U+0175, U+0175,U+0176->U+0177, U+0177, U+0178->U+00FF, U+00FF, U+0179->U+017A, U+017A, U+017B->U+017C,U+017C, U+017D->U+017E, U+017E, U+0410..U+042F->U+0430..U+044F, U+0430..U+044F,U+05D0..U+05EA, U+0531..U+0556->U+0561..U+0586, U+0561..U+0587, U+0621..U+063A, U+01B9,U+01BF, U+0640..U+064A, U+0660..U+0669, U+066E, U+066F, U+0671..U+06D3, U+06F0..U+06FF,U+0904..U+0939, U+0958..U+095F, U+0960..U+0963, U+0966..U+096F, U+097B..U+097F,U+0985..U+09B9, U+09CE, U+09DC..U+09E3, U+09E6..U+09EF, U+0A05..U+0A39, U+0A59..U+0A5E,U+0A66..U+0A6F, U+0A85..U+0AB9, U+0AE0..U+0AE3, U+0AE6..U+0AEF, U+0B05..U+0B39,U+0B5C..U+0B61, U+0B66..U+0B6F, U+0B71, U+0B85..U+0BB9, U+0BE6..U+0BF2, U+0C05..U+0C39,U+0C66..U+0C6F, U+0C85..U+0CB9, U+0CDE..U+0CE3, U+0CE6..U+0CEF, U+0D05..U+0D39, U+0D60,U+0D61, U+0D66..U+0D6F, U+0D85..U+0DC6, U+1900..U+1938, U+1946..U+194F, U+A800..U+A805,U+A807..U+A822, U+0386->U+03B1, U+03AC->U+03B1, U+0388->U+03B5, U+03AD->U+03B5,U+0389->U+03B7, U+03AE->U+03B7, U+038A->U+03B9, U+0390->U+03B9, U+03AA->U+03B9,U+03AF->U+03B9, U+03CA->U+03B9, U+038C->U+03BF, U+03CC->U+03BF, U+038E->U+03C5,U+03AB->U+03C5, U+03B0->U+03C5, U+03CB->U+03C5, U+03CD->U+03C5, U+038F->U+03C9,U+03CE->U+03C9, U+03C2->U+03C3, U+0391..U+03A1->U+03B1..U+03C1,U+03A3..U+03A9->U+03C3..U+03C9, U+03B1..U+03C1, U+03C3..U+03C9, U+0E01..U+0E2E,U+0E30..U+0E3A, U+0E40..U+0E45, U+0E47, U+0E50..U+0E59, U+A000..U+A48F, U+4E00..U+9FBF,U+3400..U+4DBF, U+20000..U+2A6DF, U+F900..U+FAFF, U+2F800..U+2FA1F, U+2E80..U+2EFF,U+2F00..U+2FDF, U+3100..U+312F, U+31A0..U+31BF, U+3040..U+309F, U+30A0..U+30FF,U+31F0..U+31FF, U+AC00..U+D7AF, U+1100..U+11FF, U+3130..U+318F, U+A000..U+A48F,U+A490..U+A4CF
　　 ngram_len = 1
　　 ngram_chars = U+4E00..U+9FBF, U+3400..U+4DBF, U+20000..U+2A6DF, U+F900..U+FAFF,U+2F800..U+2FA1F, U+2E80..U+2EFF, U+2F00..U+2FDF, U+3100..U+312F, U+31A0..U+31BF,U+3040..U+309F, U+30A0..U+30FF,U+31F0..U+31FF, U+AC00..U+D7AF, U+1100..U+11FF,U+3130..U+318F, U+A000..U+A48F, U+A490..U+A4CF
　　}
　　三,插入数据,并且更新增量索引.

　　1,插入数据,代码如下:

　　mysql> INSERT INTO users (username)VALUES('张三疯'),('张四疯');
　　
　　mysql> INSERT INTO orders(user_id, product_name, summary) VALUES ('1311895266', '我了个XX', '苛夺asdfasdfasdf'),
　　('1311895267', 'iasdfasdf', '好苛夺花样百出顶戴要');
　　2,更新增量索引,代码如下:

　　/usr/local/sphinx2/bin/indexer --config /usr/local/sphinx2/etc/sphinx.conf --rotate moreorder

　　更新了增量索引后,新增的二条数据在增量索引中,而不在主索引中,sphinx_rotate更新增量索引.

　　mysql> select * from moreorder where match('张');   //在增量索引中
　　+------+------------+-----------+-------------+--------------+
　　| id   | user_id    | username | create_time | product_name |
　　+------+------------+-----------+-------------+--------------+
　　|   13 | 1311895266 | 张三疯 |           0 | 我了个XX |
　　|   14 | 1311895267 | 张四疯 |           0 | iasdfasdf    |
　　+------+------------+-----------+-------------+--------------+
　　2 rows in set (0.00 sec)
　　
　　mysql> select * from myorder where match('张');   //主索引没有
　　+------+------------+------------+-------------+----------------+
　　| id   | user_id    | username   | create_time | product_name   |
　　+------+------------+------------+-------------+----------------+
　　|    9 | 1311895262 | 张三     | 1406823894 | tank is 坦克 |
　　|   10 | 1311895263 | tank张二 | 1406823894 | tank is 坦克 |
　　|   11 | 1311895264 | tank张一 | 1406823894 | tank is 坦克 |
　　|   12 | 1311895265 | tank张    | 1406823894 | tank is 坦克 |
　　+------+------------+------------+-------------+----------------+
　　4 rows in set (0.00 sec)
　　解决这个问题,有二个办法,一个利用分布式索引,一个把增量索引和主索引进行合并.

　　四,sphinx分布式索引配置.

　　1,修改sphinx.conf,加上以下内容:

　　index mytest
　　{
　　        type                    = distributed
　　        local                   = myorder     //本地
　　     local                   = moreorder   //本地
　　#        agent                   = 192.168.10.103:9313:myuser //远程
　　        agent_connect_timeout   = 1000
　　        agent_query_timeout     = 3000
　　}
　　重新启动sphinx.

　　2,插入新的数据,并更新增量索引,根上面一样,就不多说了.

　　3,测试sphinx 增量,代码如下:

　　mysql> select * from myorder where match('张');//新增数据没有
　　+------+------------+------------+-------------+----------------+
　　| id   | user_id    | username   | create_time | product_name   |
　　+------+------------+------------+-------------+----------------+
　　|    9 | 1311895262 | 张三     | 1406823894 | tank is 坦克 |
　　|   10 | 1311895263 | tank张二 | 1406823894 | tank is 坦克 |
　　|   11 | 1311895264 | tank张一 | 1406823894 | tank is 坦克 |
　　|   12 | 1311895265 | tank张    | 1406823894 | tank is 坦克 |
　　|   13 | 1311895266 | 张三疯 |           0 | 我了个XX    |
　　|   14 | 1311895267 | 张四疯 |           0 | iasdfasdf      |
　　+------+------------+------------+-------------+----------------+
　　6 rows in set (0.00 sec)
　　
　　mysql> select * from moreorder where match('张'); //新增数据在增量索引里面
　　+------+------------+-----------+-------------+--------------+
　　| id   | user_id    | username | create_time | product_name |
　　+------+------------+-----------+-------------+--------------+
　　|   15 | 1311895268 | 张五疯 |           0 | 我了个XX |
　　|   16 | 1311895269 | 张六疯 |           0 | iasdfasdf    |
　　+------+------------+-----------+-------------+--------------+
　　2 rows in set (0.00 sec)
　　
　　mysql> select * from mytest where match('张');   //在这里可以把mytest当成是连接池
　　+------+------------+------------+-------------+----------------+
　　| id   | user_id    | username   | create_time | product_name   |
　　+------+------------+------------+-------------+----------------+
　　|   15 | 1311895268 | 张五疯 |           0 | 我了个XX    |
　　|   16 | 1311895269 | 张六疯 |           0 | iasdfasdf      |
　　|    9 | 1311895262 | 张三     | 1406823894 | tank is 坦克 |
　　|   10 | 1311895263 | tank张二 | 1406823894 | tank is 坦克 |
　　|   11 | 1311895264 | tank张一 | 1406823894 | tank is 坦克 |
　　|   12 | 1311895265 | tank张    | 1406823894 | tank is 坦克 |
　　|   13 | 1311895266 | 张三疯 |           0 | 我了个XX    |
　　|   14 | 1311895267 | 张四疯 |           0 | iasdfasdf      |
　　+------+------------+------------+-------------+----------------+
　　8 rows in set (0.00 sec)
　　五,合并增量索引和主索引.

　　1,插入新的数据,并更新增量索引,根上面一样,就不多说了.

　　2,合并增量索引和主索引,代码如下:

　　# /usr/local/sphinx2/bin/indexer --config /usr/local/sphinx2/etc/sphinx.conf --merge myorder moreorder --rotate

　　3,测试sphinx,代码如下:

　　mysql> select * from myorder where match('张'); //这时在看主索引时，就有新增的二条数据了
　　+------+------------+------------+-------------+----------------+
　　| id   | user_id    | username   | create_time | product_name   |
　　+------+------------+------------+-------------+----------------+
　　|    9 | 1311895262 | 张三     | 1406823894 | tank is 坦克 |
　　|   10 | 1311895263 | tank张二 | 1406823894 | tank is 坦克 |
　　|   11 | 1311895264 | tank张一 | 1406823894 | tank is 坦克 |
　　|   12 | 1311895265 | tank张    | 1406823894 | tank is 坦克 |
　　|   13 | 1311895266 | 张三疯 |           0 | 我了个XX    |
　　|   14 | 1311895267 | 张四疯 |           0 | iasdfasdf      |
　　+------+------------+------------+-------------+----------------+
　　6 rows in set (0.00 sec)。

（编辑：ASP站长网）

sphinx实现增量索引 分布式索引几个例子

sphinx实现增量索引分布式索引几个例子