2018年11月6日火曜日

開発環境

Head First SQL ―頭とからだで覚えるSQLの基本 (Lynn Beighley (著), 佐藤 直生 (監訳)、松永 多苗子 (翻訳)、オライリージャパン)の1章(データとテーブル - あらゆるものにふさわしい場所)、SQLマグネット(p. 29).を取り組んでみる。

コード(Emacs)

Python 3

#!/usr/bin/env python3
import psycopg2 as sql

conn = sql.connect(database='gregs_list', user='kamimura')
cursor = conn.cursor()

_sql = '''
CREATE TABLE IF NOT EXISTS my_contacts (
email VARCHAR(50),
birthday DATE,
first_name VARCHAR(20),
last_name VARCHAR(30),
interests VARCHAR(100),
seeking VARCHAR(100),
status VARCHAR(20),
profession VARCHAR(50),
location VARCHAR(50),
gender CHAR(1)
)
'''
cursor.execute(_sql)

conn.commit()
cursor.close()
conn.close()

入出力結果(Terminal, Jupyter(IPython))

$ psql -U kamimura
psql (10.5)
Type "help" for help.

kamimura=# create database gregs_list;
CREATE DATABASE
kamimura=# \q
$ ./sample1.py
$ psql -U kamimura
psql (10.5)
Type "help" for help.

kamimura=# \d 
Did not find any relations.
kamimura=# \q
$ psql -U kamimura gregs_list
psql (10.5)
Type "help" for help.

gregs_list=# \d
            List of relations
 Schema |    Name     | Type  |  Owner   
--------+-------------+-------+----------
 public | my_contacts | table | kamimura
(1 row)

gregs_list=# \d my_contacts
                      Table "public.my_contacts"
   Column   |          Type          | Collation | Nullable | Default 
------------+------------------------+-----------+----------+---------
 email      | character varying(50)  |           |          | 
 birthday   | date                   |           |          | 
 first_name | character varying(20)  |           |          | 
 last_name  | character varying(30)  |           |          | 
 interests  | character varying(100) |           |          | 
 seeking    | character varying(100) |           |          | 
 status     | character varying(20)  |           |          | 
 profession | character varying(50)  |           |          | 
 location   | character varying(50)  |           |          | 
 gender     | character(1)           |           |          | 

gregs_list=# \q
$

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