Perform fuzzy matching SQL database queries
Perform fuzzy matching SQL database queries
Sql Server 环境,如果环境不对, 自己参考思路去修改吧
select * into #temp1 from table1 where len(col1) > 5 and len(col2) > 5
select * into #temp_end from #temp1 where 1=3
Declare @i int,@ii int
Declare @uid int,@col1 varchar(255),@col2 varchar(255)
Declare Fetch_Query_Cursor cursor for select UID,col1,col2 from #temp1
Open Fetch_Query_Cursor
Fetch Next From Fetch_Query_Cursor into @uid,@col1,@col2
while @@Fetch_status = 0
begin
select @i = 1,@ii=0
while @i
begin
if charindex(substring(@col1,@i,1),@col2) > 0
select @ii = @ii 1
select @i = @i 1
end
If @ii >=5
Insert into #temp_end select * from #temp1 where Uid = @uid
Fetch Next From Fetch_Query_Cursor into @uid,@col1,@col2
end
Close Fetch_Query_Cursor
Deallocate Fetch_Query_Cursor
Select * from #temp_end
Drop table #temp1
Drop table #temp_end
c语言怎样实现对数字模糊查找
字符串模糊查询,主要是输入不完全的信息进行查找,即每次查找的是待查询的内容中是否含有输入的内容,如果有,则表e68a84e8a2ade79fa5e9819331333363376434示找到了。下面详细的说明下模糊查询的实现方法,代码如下:
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#include
#include
#include
int main(int argc, const char * argv[])
{
char str[] = "hello welcome to china\0"; //源字符串
printf("input a string:\n");
char str2[20]; //要查找的字符串
fgets(str2, 19, stdin);
char *res;
res = memchr(str, str2[0], strlen(str)); //根据要查找的字符串第一个字符,切割源字符串
if (res == NULL)
{
printf("find nothing...\n");
return 0;
}
int n;
while (1)
{
n = memcmp(res, str2, strlen(str2) - 1); //比较
if (n != 0)
{
if (strlen(res)
{
printf("find nothing...\n");
return 0;
}
else
{
//根据要查找的第一个字符继续切割
res = memchr(res 1, str2[0], strlen(res));
if (res == NULL)
{
printf("find nothing...\n");
return 0;
}
}
}
else
{ //如果n = 0,找到
printf("%s is found..\n", str2);
return 0;
}
}
}
SQL模糊查询语句怎么写啊
1、假设表名为product,商品名为name,简界为remark.则可如下写:select [name],[remark] from product name like '�%' or remark like '�%'.注:上面单引号的aa你表模糊查询输入的字符。
2、select * from (表名) where (搜索名称)like '%%' and id like '%(简介)%'
3、用 Like 子句。比如:Select * from [TableName] where [名称] Like '%SQL%' and [简介] like '%Software%'这就是查询 [名称]字段中包含 “SQL”、并且[简介]字段中包含 “Software” 的记录。
4、selet * from userwhere name like '%小%'order by id ascasc代表升序 desc代表降序。
扩展资料:
模糊搜索的定义主要有两种观点。
一是系统允许被搜索信息和搜索提问之间存在一定的差异,这种差异就是“模糊”在搜索中的含义。例如,查找名字Smith时,就会找出与之相似的Smithe, Smythe, Smyth, Smitt等。
二是实质上的搜索系统自动进行的同义词搜索。同义词由系统的管理界面配置。例如,配置“计算机”与“computer”为同义词后,搜索“计算机”,则包含“computer”的网页也会出现在搜索结果中。
将本地图片输入到图片搜索框,
1、假如你的图片带有意义的标题,比如“衣服”,那么搜索结果会显示相关文本搜索结果
2、假如你的图片标题没有任何含义,搜索结果只显示相关图片。
3、搜索精准度随不同图片可达到的满意程度不同,往往越是主流商业图片越精准
目前像、谷歌等搜索引擎及淘宝等平台均可实现此应用。
Text fuzzy search
Search engine or portal website search: Enter text into the search box and select fuzzy search mode to get matching results.
Database search: The general fuzzy query statement is as follows: SELECT field FROM table WHERE certain field Like condition.
Regarding conditions, SQL provides four matching modes:
1, %: represents any 0 or more characters. Can match characters of any type and length. In some cases, if it is Chinese, please use two percent signs (%%) to express it.
2, _: represents any single character. Matches a single arbitrary character, which is often used to limit the character length of expressions:
3. [ ]: Indicates one of the characters listed in brackets (similar to a regular expression). Specify a character, string, or range to match any of them.
4, [^ ]: Indicates a single character not listed in brackets. Its value is the same as [], but it must match any character other than the specified character.
5, when the query content contains wildcard characters
Due to wildcards, our query statements for special characters "%", "_", and "[" cannot be implemented normally. However, the special characters can be queried normally if they are enclosed in "[ ]".
In different databases, the fuzzy search statements will be different, which can be learned in the system help document.
Reference source: Sogou Encyclopedia: Fuzzy Search
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