合并来自两个不同数据库的表 - sqlite3/Python
我有两个不同的 SQLite 数据库 XXX 和 YYY.XXX 包含表 A 和 YYY 分别包含表 B.A 和 B 具有相同的结构(列).如何在 Python - SQLite API 中附加 A 中的 B 行.追加 A 后包含 A 行和 B 行.
I have two different SQLite databases XXX and YYY. XXX contains table A and YYY contains B respectively. A and B have same structure(columns). How to append the rows of B in A in Python - SQLite API. After appending A contains rows of A and rows of B.
推荐答案
您首先使用 sqlite3.connect 获得到数据库的连接，然后创建一个游标，以便您可以执行 sql.有了游标，就可以执行任意的sql命令了.
You first get a connection to the database using sqlite3.connect, then create a cursor so you can execute sql. Once you have a cursor, you can execute arbitrary sql commands.
示例:
import sqlite3
# Get connections to the databases
db_a = sqlite3.connect('database_a.db')
db_b = sqlite3.connect('database_b.db')
# Get the contents of a table
b_cursor = db_b.cursor()
b_cursor.execute('SELECT * FROM mytable')
output = b_cursor.fetchall() # Returns the results as a list.
# Insert those contents into another table.
a_cursor = db_a.cursor()
for row in output:
a_cursor.execute('INSERT INTO myothertable VALUES (?, ?, ...etc..., ?, ?)', row)
# Cleanup
db_a.commit()
a_cursor.close()
b_cursor.close()
警告:我还没有真正测试过这个，所以它可能有一些错误，但我认为基本的想法是合理的.
Caveat: I haven't actually tested this, so it might have a few bugs in it, but the basic idea is sound, I think.
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