August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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58
3 章 Python におけるデータの読み書き
ジンは対象となるデータベースとの接続を確立し、
SQLAlchemy
が生成する一般的な
SQL
命令と
返すデータに必要な変換を行います。
ほとんどすべての人気のデータベースにはエンジンがあります。また、データベースを
RAM
に
保持するメモリオプションもあり、テスト用に高速にアクセスできます
†
。このエンジンは交換可
能という利点があります。つまり、便利なファイルベースの
SQLite
データベースを使ってコード
を開発し、構成文字列を
1
つ変えるだけで本番中に
PostgreSQL
などのもう少し業務向けのデー
タベースに交換できます。利用できるエンジンのリスト一覧は、
SQLAlchemy
のドキュメント
（
http://docs.sqlalchemy.org/en/rel_1_0/core/engines.html
）で確認してください。
次のような形式でデータベース
URL
を指定します。
dialect+driver://username:password@host:port/database
したがって、ローカルホストで動作している
MySQL
データベース
'nobel_prize'
に接続する
には、次のように実行します。
create_engine
はこの時点では実際には
SQL
リクエストは実行せ
ず、実行するフレームワークを用意するだけです
‡
。
engine = create_engine(\
'mysql://kyran:mypsswd@localhost/nobel_prize') ...
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