List of tables, db schema, dump etc using the Python sqlite3 API

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Chapters
00:00 Question
00:31 Accepted answer (Score 111)
01:06 Answer 2 (Score 328)
01:25 Answer 3 (Score 95)
02:03 Answer 4 (Score 36)
02:17 Thank you

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Full question
https://stackoverflow.com/questions/3053...

Answer 1 links:
[answer]: https://stackoverflow.com/a/33100538/236...

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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...

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Tags
#python #sqlite #dump

#avk47

ANSWER 1

Score 345

In Python:

import sqlit3

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

Watch out for my other answer. There is a much faster way using pandas.

ACCEPTED ANSWER

Score 112

You can fetch the list of tables and schemata by querying the SQLITE_MASTER table:

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
)

ANSWER 3

Score 96

The FASTEST way of doing this in python is using Pandas (version 0.16 and up).

Dump one table:

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

Dump all tables:

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()

ANSWER 4

Score 37

I'm not familiar with the Python API but you can always use

SELECT * FROM sqlite_master;