Yifei’s notes:
所谓的事务、锁、存储过程、外键等等不适合互联网公司的业务场景，而更适合于“企业级”“IOE”这些应用。
# sqlite3
% sqlite3 DATABASE
“`
.databases show databases connected to
.dump TABLE dump table in SQL format
.import FILE ?TABLE? import SQL data into table
.indices ?TABLE? show indices of table
.mode MODE set output mode(csv, column
.read FILE excute FILE
.schema ?TABLE? show create statement
.restore ?DB? FILE restore db from file
.headers ON|OFF show headers
“`
## 美化输出
让 sqlite 的输出更美观，使用 `.mode column` 和 `.headers on` 两个命令
“`
sqlite> select * from foo;
234|kshitiz|dba.se
sqlite> .mode column
sqlite> select * from foo;
234 kshitiz dba.se
sqlite> .headers on
sqlite> select * from foo;
bar baz baf
———- ———- ———-
234 kshitiz dba.se
“`
## 导入导出 csv
导出
“`
sqlite> .mode csv — use '.separator SOME_STRING' for something other than a comma.
sqlite> .headers on
sqlite> .out file.dmp
sqlite> select * from MyTable;
“`
导入
“`
sqlite> .mode csv
sqlite> .import CSV_FILE TABLE_NAME
“`
## 备份还原
sqlite3 DATABASE .dump > backup.sql
sqlite3 DATABASE < backup.sql
或者
```
sqlite3> .read backup.sql
sqlite3> .dump backup.sql
```
# 在 Python 中使用 SQLite
首先连接到数据库，获得 connection 对象，然后再获得 cursor，使用 cursor 来执行 sql 语句并获取结果。
## 连接
```
import sqlite3
conn = sqlite3.connect('database.db') # connections
cursor = conn.cursor() # get cursor
cursor.execute('CREATE TABLE books (id int primary key, name text)')
cursor.execute('INSERT INTO books (name) VALUES (' sophie's choice')')
cursor.execute('INSERT INTO books (name) VALUES ('the bible')')
conn.commit() # always remember to commit
cursor.execute('SELECT * FROM books')
conn.close()
```
或者使用 with 语句
```
with sqlite3.connect('db') as conn:
cursor = conn.cursor()
# cursor executes
```
## 构建语句
```
# fabricating statement
cursor.execute('select from books where name = ?', ('the bible',))
# NOTE the param must be a sequence
# You could also use named placeholders
cursor.execute('insert into books (name) values (:name)', {name: 'the bible'})
```
## 获取数据
有两种方式:
使用 fetchone, fetchmany(n), fetchall
```
r = c.execute('SELECT id FROM stocks WHERE name = 'MSFT'')
id = r.fetchone()[0]
```
直接迭代返回结果
```
for row in c.execute('SELECT * FROM stocks ORDER BY price'):
print row[0], row[1], row['id'], row['name']
```
注意结果每行是一个 tuple 或者一个 dict，即使 select 了一个元素，结果也是 tuple。
## 其他
lastrowid
This read-only attribute provides the rowid of the last modified row. It is only set if you issued a INSERT statement using the execute()method. For operations other than INSERT or when executemany() is called, lastrowid is set to None.
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