有人知道一个快速简单的方法来迁移SQLite3数据库到MySQL吗?
当前回答
我刚刚经历了这个过程,在这个Q/ a中有很多非常好的帮助和信息,但我发现我必须将各种元素(加上来自其他Q/ a的一些元素)组合在一起,以获得一个有效的解决方案,以便成功迁移。
然而,即使在结合现有的答案后,我发现Python脚本并没有完全为我工作,因为它在INSERT中出现多个布尔值时不起作用。看看为什么会这样。
所以,我想把我合并后的答案贴在这里。当然,功劳归于那些在其他地方做出贡献的人。但我想回馈一些东西,并节省其他人随后的时间。
我将在下面发布脚本。但首先,这里是转换的说明…
我在OS X 10.7.5 Lion上运行该脚本。巨蟒开箱即用。
要从您现有的SQLite3数据库生成MySQL输入文件,在您自己的文件上运行脚本,如下所示:
Snips$ sqlite3 original_database.sqlite3 .dump | python ~/scripts/dump_for_mysql.py > dumped_data.sql
然后复制结果的dumped_sql。sql文件转移到运行Ubuntu 10.04.4 LTS的Linux盒子中,我的MySQL数据库将驻留在那里。
我在导入MySQL文件时遇到的另一个问题是一些unicode UTF-8字符(特别是单引号)没有正确导入,所以我必须在命令中添加一个开关来指定UTF-8。
将数据输入一个新的空MySQL数据库的结果命令如下:
Snips$ mysql -p -u root -h 127.0.0.1 test_import --default-character-set=utf8 < dumped_data.sql
让它煮熟,应该就这样了!不要忘记仔细检查你的数据,在之前和之后。
所以,正如OP所要求的,当你知道怎么做的时候,这是快速而简单的!: -)
顺便说一句,在我研究这个迁移之前,我不确定的一件事是created_at和updated_at字段值是否会被保留——对我来说,好消息是它们会被保留,所以我可以迁移现有的生产数据。
好运!
更新
Since making this switch, I've noticed a problem that I hadn't noticed before. In my Rails application, my text fields are defined as 'string', and this carries through to the database schema. The process outlined here results in these being defined as VARCHAR(255) in the MySQL database. This places a 255 character limit on these field sizes - and anything beyond this was silently truncated during the import. To support text length greater than 255, the MySQL schema would need to use 'TEXT' rather than VARCHAR(255), I believe. The process defined here does not include this conversion.
以下是对我的数据进行合并和修改后的Python脚本:
#!/usr/bin/env python
import re
import fileinput
def this_line_is_useless(line):
useless_es = [
'BEGIN TRANSACTION',
'COMMIT',
'sqlite_sequence',
'CREATE UNIQUE INDEX',
'PRAGMA foreign_keys=OFF'
]
for useless in useless_es:
if re.search(useless, line):
return True
def has_primary_key(line):
return bool(re.search(r'PRIMARY KEY', line))
searching_for_end = False
for line in fileinput.input():
if this_line_is_useless(line): continue
# this line was necessary because ''); was getting
# converted (inappropriately) to \');
if re.match(r".*, ''\);", line):
line = re.sub(r"''\);", r'``);', line)
if re.match(r'^CREATE TABLE.*', line):
searching_for_end = True
m = re.search('CREATE TABLE "?([A-Za-z_]*)"?(.*)', line)
if m:
name, sub = m.groups()
line = "DROP TABLE IF EXISTS %(name)s;\nCREATE TABLE IF NOT EXISTS `%(name)s`%(sub)s\n"
line = line % dict(name=name, sub=sub)
line = line.replace('AUTOINCREMENT','AUTO_INCREMENT')
line = line.replace('UNIQUE','')
line = line.replace('"','')
else:
m = re.search('INSERT INTO "([A-Za-z_]*)"(.*)', line)
if m:
line = 'INSERT INTO %s%s\n' % m.groups()
line = line.replace('"', r'\"')
line = line.replace('"', "'")
line = re.sub(r"(?<!')'t'(?=.)", r"1", line)
line = re.sub(r"(?<!')'f'(?=.)", r"0", line)
# Add auto_increment if it's not there since sqlite auto_increments ALL
# primary keys
if searching_for_end:
if re.search(r"integer(?:\s+\w+)*\s*PRIMARY KEY(?:\s+\w+)*\s*,", line):
line = line.replace("PRIMARY KEY", "PRIMARY KEY AUTO_INCREMENT")
# replace " and ' with ` because mysql doesn't like quotes in CREATE commands
# And now we convert it back (see above)
if re.match(r".*, ``\);", line):
line = re.sub(r'``\);', r"'');", line)
if searching_for_end and re.match(r'.*\);', line):
searching_for_end = False
if re.match(r"CREATE INDEX", line):
line = re.sub('"', '`', line)
print line,
其他回答
获取SQL转储
moose@pc08$ sqlite3 mySqliteDatabase.db .dump > myTemporarySQLFile.sql
导入转储到MySQL
小批量进口:
moose@pc08$ mysql -u <username> -p
Enter password:
....
mysql> use somedb;
Database changed
mysql> source myTemporarySQLFile.sql;
or
mysql -u root -p somedb < myTemporarySQLFile.sql
这将提示您输入密码。请注意:如果你想直接输入你的密码,你必须不带空格,直接在-p后输入:
mysql -u root -pYOURPASS somedb < myTemporarySQLFile.sql
对于较大的转储:
mysqlimport或其他导入工具,如BigDump。
BigDump给你一个进度条:
我通常使用IntelliJ DataGrip的导出/导入表功能。
您可以在右下角看到进度。
[]
我用Python3编写了这个简单的脚本。它可以作为包含的类或通过终端shell调用的独立脚本使用。默认情况下,它将所有整数导入为int(11),将字符串导入为varchar(300),但所有这些都可以分别在构造函数或脚本参数中进行调整。
注意:它需要MySQL连接器/Python 2.0.4或更高版本
如果你觉得下面的代码很难阅读,这是GitHub上的源代码链接:https://github.com/techouse/sqlite3-to-mysql
#!/usr/bin/env python3
__author__ = "Klemen Tušar"
__email__ = "techouse@gmail.com"
__copyright__ = "GPL"
__version__ = "1.0.1"
__date__ = "2015-09-12"
__status__ = "Production"
import os.path, sqlite3, mysql.connector
from mysql.connector import errorcode
class SQLite3toMySQL:
"""
Use this class to transfer an SQLite 3 database to MySQL.
NOTE: Requires MySQL Connector/Python 2.0.4 or higher (https://dev.mysql.com/downloads/connector/python/)
"""
def __init__(self, **kwargs):
self._properties = kwargs
self._sqlite_file = self._properties.get('sqlite_file', None)
if not os.path.isfile(self._sqlite_file):
print('SQLite file does not exist!')
exit(1)
self._mysql_user = self._properties.get('mysql_user', None)
if self._mysql_user is None:
print('Please provide a MySQL user!')
exit(1)
self._mysql_password = self._properties.get('mysql_password', None)
if self._mysql_password is None:
print('Please provide a MySQL password')
exit(1)
self._mysql_database = self._properties.get('mysql_database', 'transfer')
self._mysql_host = self._properties.get('mysql_host', 'localhost')
self._mysql_integer_type = self._properties.get('mysql_integer_type', 'int(11)')
self._mysql_string_type = self._properties.get('mysql_string_type', 'varchar(300)')
self._sqlite = sqlite3.connect(self._sqlite_file)
self._sqlite.row_factory = sqlite3.Row
self._sqlite_cur = self._sqlite.cursor()
self._mysql = mysql.connector.connect(
user=self._mysql_user,
password=self._mysql_password,
host=self._mysql_host
)
self._mysql_cur = self._mysql.cursor(prepared=True)
try:
self._mysql.database = self._mysql_database
except mysql.connector.Error as err:
if err.errno == errorcode.ER_BAD_DB_ERROR:
self._create_database()
else:
print(err)
exit(1)
def _create_database(self):
try:
self._mysql_cur.execute("CREATE DATABASE IF NOT EXISTS `{}` DEFAULT CHARACTER SET 'utf8'".format(self._mysql_database))
self._mysql_cur.close()
self._mysql.commit()
self._mysql.database = self._mysql_database
self._mysql_cur = self._mysql.cursor(prepared=True)
except mysql.connector.Error as err:
print('_create_database failed creating databse {}: {}'.format(self._mysql_database, err))
exit(1)
def _create_table(self, table_name):
primary_key = ''
sql = 'CREATE TABLE IF NOT EXISTS `{}` ( '.format(table_name)
self._sqlite_cur.execute('PRAGMA table_info("{}")'.format(table_name))
for row in self._sqlite_cur.fetchall():
column = dict(row)
sql += ' `{name}` {type} {notnull} {auto_increment}, '.format(
name=column['name'],
type=self._mysql_string_type if column['type'].upper() == 'TEXT' else self._mysql_integer_type,
notnull='NOT NULL' if column['notnull'] else 'NULL',
auto_increment='AUTO_INCREMENT' if column['pk'] else ''
)
if column['pk']:
primary_key = column['name']
sql += ' PRIMARY KEY (`{}`) ) ENGINE = InnoDB CHARACTER SET utf8'.format(primary_key)
try:
self._mysql_cur.execute(sql)
self._mysql.commit()
except mysql.connector.Error as err:
print('_create_table failed creating table {}: {}'.format(table_name, err))
exit(1)
def transfer(self):
self._sqlite_cur.execute("SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'")
for row in self._sqlite_cur.fetchall():
table = dict(row)
# create the table
self._create_table(table['name'])
# populate it
print('Transferring table {}'.format(table['name']))
self._sqlite_cur.execute('SELECT * FROM "{}"'.format(table['name']))
columns = [column[0] for column in self._sqlite_cur.description]
try:
self._mysql_cur.executemany("INSERT IGNORE INTO `{table}` ({fields}) VALUES ({placeholders})".format(
table=table['name'],
fields=('`{}`, ' * len(columns)).rstrip(' ,').format(*columns),
placeholders=('%s, ' * len(columns)).rstrip(' ,')
), (tuple(data) for data in self._sqlite_cur.fetchall()))
self._mysql.commit()
except mysql.connector.Error as err:
print('_insert_table_data failed inserting data into table {}: {}'.format(table['name'], err))
exit(1)
print('Done!')
def main():
""" For use in standalone terminal form """
import sys, argparse
parser = argparse.ArgumentParser()
parser.add_argument('--sqlite-file', dest='sqlite_file', default=None, help='SQLite3 db file')
parser.add_argument('--mysql-user', dest='mysql_user', default=None, help='MySQL user')
parser.add_argument('--mysql-password', dest='mysql_password', default=None, help='MySQL password')
parser.add_argument('--mysql-database', dest='mysql_database', default=None, help='MySQL host')
parser.add_argument('--mysql-host', dest='mysql_host', default='localhost', help='MySQL host')
parser.add_argument('--mysql-integer-type', dest='mysql_integer_type', default='int(11)', help='MySQL default integer field type')
parser.add_argument('--mysql-string-type', dest='mysql_string_type', default='varchar(300)', help='MySQL default string field type')
args = parser.parse_args()
if len(sys.argv) == 1:
parser.print_help()
exit(1)
converter = SQLite3toMySQL(
sqlite_file=args.sqlite_file,
mysql_user=args.mysql_user,
mysql_password=args.mysql_password,
mysql_database=args.mysql_database,
mysql_host=args.mysql_host,
mysql_integer_type=args.mysql_integer_type,
mysql_string_type=args.mysql_string_type
)
converter.transfer()
if __name__ == '__main__':
main()
每个人似乎都是从一些grep和perl表达式开始的,你可能会得到一些适用于特定数据集的东西,但你不知道它是否正确地导入了数据。我真的很惊讶没有人建立一个可靠的库,可以在两者之间转换。
这里列出了我所知道的两种文件格式之间SQL语法的所有差异: 以以下几行开头:
开始事务 提交 sqlite_sequence 创建唯一索引
在MySQL中不使用
SQLite uses CREATE TABLE/INSERT INTO "table_name" and MySQL uses CREATE TABLE/INSERT INTO table_name MySQL doesn't use quotes inside the schema definition MySQL uses single quotes for strings inside the INSERT INTO clauses SQLite and MySQL have different ways of escaping strings inside INSERT INTO clauses SQLite uses 't' and 'f' for booleans, MySQL uses 1 and 0 (a simple regex for this can fail when you have a string like: 'I do, you don't' inside your INSERT INTO) SQLLite uses AUTOINCREMENT, MySQL uses AUTO_INCREMENT
这是一个非常基本的perl脚本,它适用于我的数据集,并检查了我在网上找到的其他perl脚本的更多这些条件。Nu保证它将为您的数据工作,但请随意修改和发布回这里。
#! /usr/bin/perl
while ($line = <>){
if (($line !~ /BEGIN TRANSACTION/) && ($line !~ /COMMIT/) && ($line !~ /sqlite_sequence/) && ($line !~ /CREATE UNIQUE INDEX/)){
if ($line =~ /CREATE TABLE \"([a-z_]*)\"(.*)/i){
$name = $1;
$sub = $2;
$sub =~ s/\"//g;
$line = "DROP TABLE IF EXISTS $name;\nCREATE TABLE IF NOT EXISTS $name$sub\n";
}
elsif ($line =~ /INSERT INTO \"([a-z_]*)\"(.*)/i){
$line = "INSERT INTO $1$2\n";
$line =~ s/\"/\\\"/g;
$line =~ s/\"/\'/g;
}else{
$line =~ s/\'\'/\\\'/g;
}
$line =~ s/([^\\'])\'t\'(.)/$1THIS_IS_TRUE$2/g;
$line =~ s/THIS_IS_TRUE/1/g;
$line =~ s/([^\\'])\'f\'(.)/$1THIS_IS_FALSE$2/g;
$line =~ s/THIS_IS_FALSE/0/g;
$line =~ s/AUTOINCREMENT/AUTO_INCREMENT/g;
print $line;
}
}
以下是转换器列表(自2011年以来没有更新):
https://www2.sqlite.org/cvstrac/wiki?p=ConverterTools(或在archive.org上快照)
另一种工作得很好但很少被提及的方法是:使用一个ORM类,为您抽象出特定的数据库差异。例如,你在PHP (RedBean), Python (Django的ORM层,Storm, SqlAlchemy), Ruby on Rails (ActiveRecord), Cocoa (CoreData)中得到这些
例如,你可以这样做:
使用ORM类从源数据库加载数据。 将数据存储在内存中或序列化到磁盘。 使用ORM类将数据存储到目标数据库中。
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