SQL语句导入导出大全
导出到excelEXEC master..xp_cmdshell 'bcp SettleDB.dbo.shanghu out c:\temp1.xls -c -q -S"GNETDATA/GNETDATA" -U"sa" -P""'
导入Excel
SELECT * FROM OpenDataSource( 'Microsoft.Jet.OLEDB.4.0', 'Data Source="c:\test.xls";User ID=Admin;Password=;Extended properties=Excel 5.0')...xactions
动态文件名
declare @fn varchar(20),@s varchar(1000)
set @fn = 'c:\test.xls'
set @s ='''Microsoft.Jet.OLEDB.4.0'',
''Data Source="'+@fn+'";User ID=Admin;Password=;Extended properties=Excel 5.0'''
set @s = 'SELECT * FROM OpenDataSource ('+@s+')...sheet1$'
exec(@s)
SELECT cast(cast(科目编号 as numeric(10,2)) as nvarchar(255))+' ' 转换后的别名
FROM OpenDataSource( 'Microsoft.Jet.OLEDB.4.0',
'Data Source="c:\test.xls";User ID=Admin;Password=;Extended properties=Excel 5.0')...xactions
EXCEL导到远程SQL
insert OPENDATASOURCE(
'SQLOLEDB',
'Data Source=远程ip;User ID=sa;Password=密码'
).库名.dbo.表名 (列名1,列名2)
SELECT 列名1,列名2
FROM OpenDataSource( 'Microsoft.Jet.OLEDB.4.0',
'Data Source="c:\test.xls";User ID=Admin;Password=;Extended properties=Excel 5.0')...xactions
导入文本文件
EXEC master..xp_cmdshell 'bcp dbname..tablename in c:\DT.txt -c -Sservername -Usa -Ppassword'
导出文本文件
EXEC master..xp_cmdshell 'bcp dbname..tablename out c:\DT.txt -c -Sservername -Usa -Ppassword'
或
EXEC master..xp_cmdshell 'bcp "Select * from dbname..tablename" queryout c:\DT.txt -c -Sservername -Usa -Ppassword'
导出到TXT文本,用逗号分开
exec master..xp_cmdshell 'bcp "库名..表名" out "d:\tt.txt" -c -t ,-U sa -P password'
BULK INSERT 库名..表名
FROM 'c:\test.txt'
WITH (
FIELDTERMINATOR = ';',
ROWTERMINATOR = '\n'
)
--/* dBase IV文件
select * from
OPENROWSET('MICROSOFT.JET.OLEDB.4.0'
,'dBase IV;HDR=NO;IMEX=2;DATABASE=C:\','select * from [客户资料4.dbf]')
--*/
--/* dBase III文件
select * from
OPENROWSET('MICROSOFT.JET.OLEDB.4.0'
,'dBase III;HDR=NO;IMEX=2;DATABASE=C:\','select * from [客户资料3.dbf]')
--*/
--/* FoxPro 数据库
select * from openrowset('MSDASQL',
'Driver=Microsoft Visual FoxPro Driver;SourceType=DBF;SourceDB=c:\',
'select * from [aa.DBF]')
--*/
导入DBF文件
select * from openrowset('MSDASQL',
'Driver=Microsoft Visual FoxPro Driver;
SourceDB=e:\VFP98\data;
SourceType=DBF',
'select * from customer where country != "USA" order by country')
go
导出到DBF
如果要导出数据到已经生成结构(即现存的)FOXPRO表中,可以直接用下面的SQL语句
insert into openrowset('MSDASQL',
'Driver=Microsoft Visual FoxPro Driver;SourceType=DBF;SourceDB=c:\',
'select * from [aa.DBF]')
select * from 表
说明:
SourceDB=c:\ 指定foxpro表所在的文件夹
aa.DBF 指定foxpro表的文件名.
导出到Access
insert into openrowset('Microsoft.Jet.OLEDB.4.0',
'x:\A.mdb';'admin';'',A表) select * from 数据库名..B表
导入Access
insert into B表 selet * from openrowset('Microsoft.Jet.OLEDB.4.0',
'x:\A.mdb';'admin';'',A表)
文件名为参数
declare @fname varchar(20)
set @fname = 'd:\test.mdb'
exec('SELECT a.* FROM opendatasource(''Microsoft.Jet.OLEDB.4.0'',
'''+@fname+''';''admin'';'''', topics) as a ')
SELECT *
FROM OpenDataSource( 'Microsoft.Jet.OLEDB.4.0',
'Data Source="f:\northwind.mdb";Jet OLEDB:Database Password=123;User ID=Admin;Password=;')
导入 xml 文件 [Page]
DECLARE @idoc int
DECLARE @doc varchar(1000)
--sample XML document
SET @doc ='
Happy Customer.
'
-- Create an internal representation of the XML document.
EXEC sp_xml_preparedocument @idoc OUTPUT, @doc
-- Execute a SELECT statement using OPENXML rowset provider.
SELECT *
FROM OPENXML (@idoc, '/root/Customer/Order', 1)
WITH (oid char(5),
amount float,
comment ntext 'text()')
EXEC sp_xml_removedocument @idoc
Excel导到Txt
想用 select * into opendatasource(...) from opendatasource(...)
实现将一个Excel文件内容导入到一个文本文件
假设Excel中有两列,第一列为姓名,第二列为很行帐号(16位)
且银行帐号导出到文本文件后分两部分,前8位和后8位分开。
如果要用你上面的语句插入的话,文本文件必须存在,而且有一行:姓名,银行账号1,银行账号2 ,然后就可以用下面的语句进行插入,注意文件名和目录根据你的实际情况进行修改.
insert into
opendatasource('MICROSOFT.JET.OLEDB.4.0'
,'Text;HDR=Yes;DATABASE=C:\'
)...[aa#txt]
--,aa#txt)
--*/
select 姓名,银行账号1=left(银行账号,8),银行账号2=right(银行账号,8)
from
opendatasource('MICROSOFT.JET.OLEDB.4.0'
,'Excel 5.0;HDR=YES;IMEX=2;DATABASE=c:\a.xls'
--,Sheet1$)
)...[Sheet1$]
如果你想直接插入并生成文本文件,就要用bcp
declare @sql varchar(8000),@tbname varchar(50)
--首先将excel表内容导入到一个全局临时表
select @tbname='[##temp'+cast(newid() as varchar(40))+']'
,@sql='select 姓名,银行账号1=left(银行账号,8),银行账号2=right(银行账号,8)
into '+@tbname+' from
opendatasource(''MICROSOFT.JET.OLEDB.4.0''
,''Excel 5.0;HDR=YES;IMEX=2;DATABASE=c:\a.xls''
)...[Sheet1$]'
exec(@sql)
--然后用bcp从全局临时表导出到文本文件
set @sql='bcp "'+@tbname+'" out "c:\aa.txt" /S"(local)" /P"" /c'
exec master..xp_cmdshell @sql
--删除临时表
exec('drop table '+@tbname)
导整个数据库
用bcp实现的存储过程
/*
实现数据导入/导出的存储过程
根据不同的参数,可以实现导入/导出整个数据库/单个表
调用示例:
--导出调用示例
----导出单个表
exec file2table 'zj','','','xzkh_sa..地区资料','c:\zj.txt',1
----导出整个数据库
exec file2table 'zj','','','xzkh_sa','C:\docman',1
--导入调用示例
----导入单个表
exec file2table 'zj','','','xzkh_sa..地区资料','c:\zj.txt',0
----导入整个数据库
exec file2table 'zj','','','xzkh_sa','C:\docman',0
*/
if exists(select 1 from sysobjects where name='File2Table' and objectproperty(id,'IsProcedure')=1)
drop procedure File2Table
go
create procedure File2Table
@servername varchar(200) --服务器名
,@username varchar(200) --用户名,如果用NT验证方式,则为空''
,@password varchar(200) --密码
,@tbname varchar(500) --数据库.dbo.表名,如果不指定:.dbo.表名,则导出数据库的所有用户表
,@filename varchar(1000) --导入/导出路径/文件名,如果@tbname参数指明是导出整个数据库,则这个参数是文件存放路径,文件名自动用表名.txt
,@isout bit --1为导出,0为导入
as
declare @sql varchar(8000)
if @tbname like '%.%.%' --如果指定了表名,则直接导出单个表
begin
set @sql='bcp '+@tbname
+case when @isout=1 then ' out ' else ' in ' end
+' "'+@filename+'" /w'
+' /S '+@servername
+case when isnull(@username,'')='' then '' else ' /U '+@username end
+' /P '+isnull(@password,'')
exec master..xp_cmdshell @sql
end
else
begin --导出整个数据库,定义游标,取出所有的用户表
declare @m_tbname varchar(250)
if right(@filename,1)'\' set @filename=@filename+'\'
set @m_tbname='declare #tb cursor for select name from '+@tbname+'..sysobjects where xtype=''U'''
exec(@m_tbname)
open #tb
fetch next from #tb into @m_tbname
while @@fetch_status=0
begin
set @sql='bcp '+@tbname+'..'+@m_tbname
+case when @isout=1 then ' out ' else ' in ' end
+' "'+@filename+@m_tbname+'.txt " /w'
+' /S '+@servername
+case when isnull(@username,'')='' then '' else ' /U '+@username end
+' /P '+isnull(@password,'')
exec master..xp_cmdshell @sql
fetch next from #tb into @m_tbname
end
close #tb
deallocate #tb
end
go
Oracle
EXEC sp_addlinkedserver 'OracleSvr',
'Oracle 7.3',
'MSDAORA',
'ORCLDB'
GO
delete from openquery(mailser,'select * from yulin')
select * from openquery(mailser,'select * from yulin')
update openquery(mailser,'select * from yulin where id=15')set disorder=555,catago=888
insert into openquery(mailser,'select disorder,catago from yulin')values(333,777)
补充:
对于用bcp导出,是没有字段名的.
用openrowset导出,需要事先建好表.
用openrowset导入,除ACCESS及EXCEL外,均不支持非本机数据导入

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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