Python sqlite3 API를 사용하는 테이블, db 스키마, 덤프 등의 목록

Python sqlite3 API를 사용하는 테이블, db 스키마, 덤프 등의 목록

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어떤 이유로 sqlite의 대화 형 쉘 명령과 동등한 방법을 찾을 수 없습니다.

.tables
.dump

파이썬 sqlite3 API를 사용합니다.

그런 게 있습니까?

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SQLITE_MASTER 테이블을 쿼리하여 테이블 및 스키마 목록을 페치 할 수 있습니다.

sqlite> .tab
job         snmptarget  t1          t2          t3        
sqlite> select name from sqlite_master where type = 'table';
job
t1
t2
snmptarget
t3

sqlite> .schema job
CREATE TABLE job (
    id INTEGER PRIMARY KEY,
    data VARCHAR
);
sqlite> select sql from sqlite_master where type = 'table' and name = 'job';
CREATE TABLE job (
    id INTEGER PRIMARY KEY,
    data VARCHAR
)

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파이썬에서 :

con = sqlite3.connect('database.db')
cursor = con.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
print(cursor.fetchall())

내 다른 대답을 조심하십시오 . 팬더를 사용하는 훨씬 빠른 방법이 있습니다.

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파이썬 에서이 작업을 수행하는 가장 빠른 방법은 Pandas (버전 0.16 이상)를 사용하는 것입니다.

하나의 테이블을 덤프하십시오.

db = sqlite3.connect('database.db')
table = pd.read_sql_query("SELECT * from table_name", db)
table.to_csv(table_name + '.csv', index_label='index')

모든 테이블을 덤프하십시오.

import sqlite3
import pandas as pd


def to_csv():
    db = sqlite3.connect('database.db')
    cursor = db.cursor()
    cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
    tables = cursor.fetchall()
    for table_name in tables:
        table_name = table_name[0]
        table = pd.read_sql_query("SELECT * from %s" % table_name, db)
        table.to_csv(table_name + '.csv', index_label='index')
    cursor.close()
    db.close()

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파이썬 API에 익숙하지 않지만 항상 사용할 수 있습니다

SELECT * FROM sqlite_master;

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분명히 파이썬 2.6에 포함 된 sqlite3 버전은 다음과 같은 기능을 가지고 있습니다 : http://docs.python.org/dev/library/sqlite3.html

# Convert file existing_db.db to SQL dump file dump.sql
import sqlite3, os

con = sqlite3.connect('existing_db.db')
with open('dump.sql', 'w') as f:
    for line in con.iterdump():
        f.write('%s\n' % line)

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Here's a short and simple python program to print out the table names and the column names for those tables (python 2. python 3 follows).

import sqlite3

db_filename = 'database.sqlite'
newline_indent = '\n   '

db=sqlite3.connect(db_filename)
db.text_factory = str
cur = db.cursor()

result = cur.execute("SELECT name FROM sqlite_master WHERE type='table';").fetchall()
table_names = sorted(zip(*result)[0])
print "\ntables are:"+newline_indent+newline_indent.join(table_names)

for table_name in table_names:
    result = cur.execute("PRAGMA table_info('%s')" % table_name).fetchall()
    column_names = zip(*result)[1]
    print ("\ncolumn names for %s:" % table_name)+newline_indent+(newline_indent.join(column_names))

db.close()
print "\nexiting."

(EDIT: I have been getting periodic vote-ups on this, so here is the python3 version for people who are finding this answer)

import sqlite3

db_filename = 'database.sqlite'
newline_indent = '\n   '

db=sqlite3.connect(db_filename)
db.text_factory = str
cur = db.cursor()

result = cur.execute("SELECT name FROM sqlite_master WHERE type='table';").fetchall()
table_names = sorted(list(zip(*result))[0])
print ("\ntables are:"+newline_indent+newline_indent.join(table_names))

for table_name in table_names:
    result = cur.execute("PRAGMA table_info('%s')" % table_name).fetchall()
    column_names = list(zip(*result))[1]
    print (("\ncolumn names for %s:" % table_name)
           +newline_indent
           +(newline_indent.join(column_names)))

db.close()
print ("\nexiting.")

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After a lot of fiddling I found a better answer at sqlite docs for listing the metadata for the table, even attached databases.

meta = cursor.execute("PRAGMA table_info('Job')")
for r in meta:
    print r

The key information is to prefix table_info, not my_table with the attachment handle name.

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Check out here for dump. It seems there is a dump function in the library sqlite3.

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

if __name__ == "__main__":

   import sqlite3

   dbname = './db/database.db'
   try:
      print "INITILIZATION..."
      con = sqlite3.connect(dbname)
      cursor = con.cursor()
      cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
      tables = cursor.fetchall()
      for tbl in tables:
         print "\n########  "+tbl[0]+"  ########"
         cursor.execute("SELECT * FROM "+tbl[0]+";")
         rows = cursor.fetchall()
         for row in rows:
            print row
      print(cursor.fetchall())
   except KeyboardInterrupt:
      print "\nClean Exit By user"
   finally:
      print "\nFinally"

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I've implemented a sqlite table schema parser in PHP, you may check here: https://github.com/c9s/LazyRecord/blob/master/src/LazyRecord/TableParser/SqliteTableDefinitionParser.php

You can use this definition parser to parse the definitions like the code below:

$parser = new SqliteTableDefinitionParser;
$parser->parseColumnDefinitions('x INTEGER PRIMARY KEY, y DOUBLE, z DATETIME default \'2011-11-10\', name VARCHAR(100)');

참고URL : https://stackoverflow.com/questions/305378/list-of-tables-db-schema-dump-etc-using-the-python-sqlite3-api