access语法大全（Access grammar）
access 语法大全（Access grammar） Access grammar Like query * SELECT * FROM flash WHERE filename like’*pany_guangxi WHERE name not like name ‘* *’ company and not like ‘* *’ mechanism factory; Delete query DELETE * FROM order WHERE order. Order date =#1/1/2019# Update query UPDATE products SET products. The price = [MSRP]*1.2 = MOTOROLA WHERE. Access SQL statement query Generate serial number when querying SELECT (SELECT, Count ([xlh].[aa]), AS, AutoNum, FROM, XLH, WHERE (((xlh.aa) =xlh_Alias.aa)); AS ordinal number, xlh.aa FROM, XLH, AS, xlh_Alias, INNER, JOIN, XLH, ON, xlh_Alias.aa=xlh.aa ORDER BY xlh.aa; Multi table SQL query SELECT test.aa AS, the first field, test1.bb AS, second fields, FROM, test, test1 WHERE test.aa=test1.aa; Multi table SQL query 1 SELECT, a.aa, b.bb, b.cc, b.cc*100, AS total FROM, test, AS, a, test1, AS, B WHERE a.aa=b.aa; Multi table SQL query sorting SELECT, a.aa, b.bb, b.cc, AS, third fields FROM, test, AS, a, test1, AS, B WHERE a.aa=b.aa ORDER ; Query example SELECT a.dhhm FROM, xl11a, AS, a, xl919, AS, B WHERE a.dhhm=b.dhhm and AA 1; Date time separator is # instead of single quotes Selec
t * From, Tab1, Where, [Date]#2019-1-1#; Function and calculation Aggregate groups, expressions and conditions SELECT orders. The customer number, Sum (order tax price) AS total tax price, Last (order. Order date) AS order date at the end of a pen, (Date) - order date of last AS days FROM WHERE (from orders order date order. =#12/1/2006#) GROUP BY orders. Customer number 11-2 query instruction group condition Multiple calculation fields Multiple data table query instruction The most basic JOIN way of INNER JOIN- SELECT customer. Company name, order, order number, order, order date, FROM customer, INNER JOIN order, ON customer number, customer order = order number 11-2 query instruction Multiple data table query instruction LEFT and RIGHT JOIN SELECT customer. Company name, customer, contact name, order number, customer number FROM, customer LEFT, JOIN order, ON customer number, order number, customer number WHERE (order number Is Null) 11-2 query instruction Four action query instructions Data sheet SELECT customer, customer number, customer, company name, order, order date, order, including tax price, INTO, customer and order, FROM customer, INNER, JOIN order, ON customer, customer number = order. Customer number New query 插入客户及订单（客户编号，公司名称，下单日期，含税价）选择客户。
客户编号，客户。
公司名称，订单。
下单日期，订单。
含税价从客户内加入订单在客户。
客户编号=订单。
客户编号 动作查询指令 11-3 四种动作查询指令 下边列出访问 SQL Server access常见条件表达式与的语法差别，方便大家在更换程序数据库时查询。
日期分隔符号 访问：
英镑符（#） SQL 服务器：
撇号（的） 布尔常量 访问：
真正的、假；在、断；是的、没有；整数：
- 1（真）、0（假）。
SQL 服务器：
整数：
1（真）、0（假） 字符串连接 访问：
和号（） SQL 服务器：
加号（+） 通配符 访问：
星号（*）与零个或更多字符匹配。
问号（？）与单个字符匹配。
叹号（！）意味着不在列表中。
英镑符（#）意味着单个数字。
SQL 服务器：
Y（1,1）不为空 1。
基本的 SQL 语句 选择字段，字符串从表名哪里条件顺序降序/ ASC 更新表名集字段=值哪里条件 删除从哪里条件表名 插入表名（字段名 1，字段名 2）值（值 1 ‘，’ 2 ‘值） 注意：
字段名，表名最好使用[ ]括起来以免碰到保留字报错即使不是保留字也用下方括号养成个好习惯 我这里使用站点维护管理系统来演示 首先建立一个数据库 从[公共]中选择* 最基本的语句显示表里所有的字段如果我们只要显示一个文本那么，如果需要显示其他的内容呢？这里有个好处是访问的 SQL 语句可以对数据做简单处理比如一些数据过长我们只要显示 20 字符下面看 怎么样效果很明显吧字段名可以按照一个变量来处理调用一些基本函数这些函数可以参考访问的帮助 看到了吧 那么是不是能直接输出字符串呢我另外设置个常量列做字符串？ However, this kind of thing can not be changed directly with this tool. After all, I’m using it for the black station, not for So, in actual applications, can it be directly processed into direct output of HTML code? We look like we need this a href=? Id= data format ID user username /a this is standard practice from the database ID to ASP out and user name are set into 2 variables then we look at the direct operation in sql! The strin
g should be connected in single quotation marks before and after using the ‘‘ symbol Come on, right? SELECT,’a, href=, id=‘id’’user’/a’, FROM, [user] My analysis here is the’a href=? Id=‘constant after the database field according to the variable after the connection is’ constant’ ‘‘ constant variables This should be very familiar with it after the note is the synthesis of several variables in a row is in accordance with the length of text processing if more than 255 behind the data will be lost in the actual use of time should pay attention to the length of the decomposition of a long column into multiple columns such as Use, represent, separate, then call After the condition table name and where order sequence is desc /asc reverse order I see Update table name set field = value where condition The modification is simpler, the condition is best not to use the character type, otherwise the efficiency is low, also is easy to make mistakes Delete is the same. DELETE FROM [test] WHERE name=‘test’ This data is deleted (field name 1, field name 2). This can be omitted. When omitted, all fields are inserted in order (field name 1, field name 2) Insert, into, test, VALUES (‘test’, 2, now) Note that this now is also a function that represents the current time, generally speaking, the value of time, the possibility of using now is relatively l
arge, not specially set Sql= select * from data table where field name = field value order by field name [desc] Sql= select * from where like ‘data table field name field value order by field [desc]% Sql= select top 10 * from data table where field name order by field name [desc] Sql= select * from data table where field name in (‘value 1’ ‘,’ value 2’’, ‘value 3’ ‘) Sql= select * from data table, where field name, between value 1, and value 2 (2) updating data records: Sql= update data table, set field name = field value, where conditional expression Sql= update data table, set field, 1= value 1, field 2= Field n= value n where conditional expression (3) deleting data records: Sql= delete from data table where conditional expression Sql= delete from data table (delete all data tables) (4) adding data records: Sql= insert into data table (field 1, field 2, Valuess (value 1, value 2, ) SQL =插入目标数据表 SELECT * FROM 源数据表（把源数据表的记录添加到目标数据表） （5）数据记录统计函数：
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