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The fuzzy search method under access is worth your reference. The fuzzy search method under access is worth your reference. The Code is as follows:String SQL = "Select Count (ID) As rcount From TbProduct WHERE classID IN (" + ids + ") AND PRODUCTNAME LIKE '%' + @ ProductName + '% '";OleDbParameter [] sps = new OleDb
Fuzzy search... it's easy... of course... it is not a [%]... right .. that's right... in general, SQL is [%]... finally, access is also verified using [%]... However, when writing complex SQL statements, you must first test the correctness of the SQL statements in the query dialog box before the SQL statements become more complex.Program... This is because of this habit... I found the difference in
Generally ProgramFuzzy search is written as follows: Select * from table where txttitle like '% %' Whether the connected database is access or SQL Server However, when I write a program recently, the statements are always correct, but they are the result of the explain statement. For example, manually setting server security and thinking, it is mentioned that I always seek results when writing service queries. After a long time, this problem occ
the wildcard character of the access library is: * matches any number of characters .? Match the characters of any single letter The wildcards in SQL Server are:% Matches any number of characters-matches a single characterThe correct statement should be:Write in C #Select * from table where name like '% Jacky %' select * from table where name like '_ Jacky _'The acce
Tags: system datetime OLE DB Access stringC # When you use OLE DB to manipulate access to insert data: Data types do not match in standard expressions. OleDbParameter param = new OleDbParameter (""+ DC. ColumnName, DC. DataType);Param. IsNullable= DC. AllowDBNull;if (dr_src. Table. Columns. Contains(DC. ColumnName) {if (!) ( Dr_src[dc. ColumnName] is System. DBNu
of concern, one is to pay attention to your data volume, if the amount of data is difficult to more than 10,000, then choose a smaller lightweight Access database can be, but if your database data volume is large, it is recommended to use SQL Server database, Because the processing power and efficiency of the data are much higher.My personal situation is to choose SQL server2008, because my data volume will be more than 10,000, I think in the future
like SQL server2008? I think there are two points of concern, one is to pay attention to your data volume, if the amount of data is difficult to more than 10,000, then choose a smaller lightweight Access database can be, but if your database data volume is large, it is recommended to use SQL Server database, Because the processing power and efficiency of the data are much higher.My personal situation is to choose SQL server2008, because my data volum
server{Listen 80;server_name api.zyy.com;Root/var/www/api_zyy;Index index.php;Location ~/assets/{#access_log Logs/static.log Common;#设置静态内容有效期 and redirect to StaticExpires 1y;Rewrite ^/static/(. *) $/static/$1 break;}Location ~/static/{#access_log Logs/static.log Common;Expires 1y;Rewrite ^/static/(. *) $/static/$1 break;}Access to this path when #当路径中包含 oneLocation ~/one/{Root/var/www/api_zyy/one/web;Rewrite ^ (. *) $/index.php break;Fastcgi_pass 12
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