Linux下没有专门为MSSQL设计的访问库，不过介于MSSQL本是从sybase派生出来的，因此用来访问Sybase的库自然也能访问MSSQL，FreeTDS就是这么一个实现。
Perl中通常使用DBI来访问数据库，因此在系统安装了FreeTDS之后，可以使用DBI来通过FreeTDS来访问MSSQL数据库，例子：
复制代码 代码如下:
using DBI;
my $cs = "DRIVER={FreeTDS};SERVER=主机;PORT=1433;DATABASE=数据库;UID=sa;PWD=密码;TDS_VERSION=7.1;charset=gb2312";
my $dbh = DBI->connect("dbi:ODBC:$cs") or die $@;
因为本人不怎么用windows，为了研究QQ群数据库，需要将数据从MSSQL中迁移到MySQL中，特地为了QQ群数据库安装了一个Windows Server 2008和SQL Server 2008r2,不过过几天评估就到期了，研究过MySQL的Workbench有从MS SQL Server迁移数据的能力，不过对于QQ群这种巨大数据而且分表分库的数据来说显得太麻烦，因此写了一个通用的perl脚本，用来将数据库从MSSQL到MySQL迁移，结合bash，很方便的将这二十多个库上百张表给转移过去了，Perl代码如下：
复制代码 代码如下:
#!/usr/bin/perl
use strict;
use warnings;
use DBI;

die "Usage: qq db\n" if @ARGV != 1;
my $db = $ARGV[0];

print "Connectin to databases $db...\n";
my $cs = "DRIVER={FreeTDS};SERVER=MSSQL的服务器;PORT=1433;DATABASE=$db;UID=sa;PWD=MSSQL密码;TDS_VERSION=7.1;charset=gb2312";

sub db_connect
{
my $src = DBI->connect("dbi:ODBC:$cs") or die $@;
my $target = DBI->connect("dbi:mysql:host=MySQL服务器", "MySQL用户名", "MySQL密码") or die $@;
return ($src, $target);
}
my ($src, $target) = db_connect;

print "Reading table schemas....\n";

my $q_tables = $src->prepare("SELECT name FROM sysobjects WHERE xtype = 'U' AND name != 'dtproperties';");#获取所有表名
my $q_key_usage = $src->prepare("SELECT TABLE_NAME, COLUMN_NAME from INFORMATION_SCHEMA.KEY_COLUMN_USAGE;");#获取表的主键
$q_tables->execute;
my @tables = ();
my %keys = ();
push @tables, @_ while @_ = $q_tables->fetchrow_array;

$q_tables->finish;

$q_key_usage->execute();
$keys{$_[0]} = $_[1] while @_ = $q_key_usage->fetchrow_array;
$q_key_usage->finish;

#获取表的索引信息
my $q_index = $src->prepare(qq(
SELECT T.name, C.name
FROM sys.index_columns I
INNER JOIN sys.tables T ON T.object_id = I.object_id
INNER JOIN sys.columns C ON C.column_id = I.column_id AND I.object_id = C.object_id;
));
$q_index->execute;
my %table_indices = ();
while(my @row = $q_index->fetchrow_array)
{
my ($table, $column) = @row;
my $columns = $table_indices{$table};
$columns = $table_indices{$table} = [] if not $columns;
push @$columns, $column;
}
$q_index->finish;

#在目标MySQL上创建对应的数据库
$target->do("DROP DATABASE IF EXISTS `$db`;") or die "Cannot drop old database $db\n";
$target->do("CREATE DATABASE `$db` DEFAULT CHARSET = utf8 COLLATE utf8_general_ci;") or die "Cannot create database $db\n";
$target->disconnect;
$src->disconnect;

my $total_start = time;
for my $table(@tables)
{
my $pid = fork;
unless($pid)
{
($src, $target) = db_connect;
my $start = time;
$src->do("USE $db;");
#获取表结构，用来生成MySQL用的DDL
my $q_schema = $src->prepare("SELECT COLUMN_NAME, IS_NULLABLE, DATA_TYPE, CHARACTER_MAXIMUM_LENGTH from INFORMATION_SCHEMA.COLUMNS where TABLE_NAME = ? ORDER BY ORDINAL_POSITION;");
$target->do("USE `$db`;");
$target->do("SET NAMES utf8;");
my $key_column = $keys{$table};
my $ddl = "CREATE TABLE `$table` ( \n";
$q_schema->execute($table);
my @fields = ();
while(my @row = $q_schema->fetchrow_array)
{
my ($column, $nullable, $datatype, $length) = @row;
my $field = "`$column` $datatype";
$field .= "($length)" if $length;
$field .= " PRIMARY KEY" if $key_column eq $column;
push @fields, $field;
}
$ddl .= join(",\n", @fields);
$ddl .= "\n) ENGINE = MyISAM;\n\n";
$target->do($ddl) or die "Cannot create table $table\n";
#创建索引
my $indices = $table_indices{$table};
if($indices)
{
for(@$indices)
{
$target->do("CREATE INDEX `$_` ON `$table`(`$_`);\n") or die "Cannot create index on $db.$table$.$_\n";
}
}
#转移数据
my @placeholders = map {'?'} @fields;
my $insert_sql = "INSERT DELAYED INTO $table VALUES(" .(join ', ', @placeholders) . ");\n";
my $insert = $target->prepare($insert_sql);
my $select = $src->prepare("SELECT * FROM $table;");
$select->execute;
$select->{'LongReadLen'} = 1000;
$select->{'LongTruncOk'} = 1;
$target->do("SET AUTOCOMMIT = 0;");
$target->do("START TRANSACTION;");
my $rows = 0;
while(my @row = $select->fetchrow_array)
{
$insert->execute(@row);
$rows++;
}
$target->do("COMMIT;");
#结束，输出任务信息
my $elapsed = time - $start;
print "Child process $$ for table $db.$table done, $rows records, $elapsed seconds.\n";
exit(0);
}
}
print "Waiting for child processes\n";
#等待所有子进程结束
while (wait() != -1) {}
my $total_elapsed = time - $total_start;
print "All tasks from $db finished, $total_elapsed seconds.\n";

这个脚本会根据每一个表fork出一个子进程和相应的数据库连接，因此做这种迁移之前得确保目标MySQL数据库配置的最大连接数能承受。
然后在bash下执行
复制代码 代码如下:
for x in {1..11};do ./qq.pl QunInfo$x; done
for x in {1..11};do ./qq.pl GroupData$x; done
就不用管了，脚本会根据MSSQL这边表结构来在MySQL那边创建一样的结构并配置索引。