{"type":"rich","blog_title":"\u8077\u696d\u30d7\u30ed\u30b0\u30e9\u30de\u306e\u4f11\u65e5\u51fa\u52e4","image_url":null,"height":"190","categories":["MySQL","PostgreSQL"],"author_name":"t_motooka","provider_name":"Hatena Blog","version":"1.0","title":"MySQL\u306eGroup By","url":"https://tmotooka.hatenablog.jp/entry/2012/08/11/021806","author_url":"https://blog.hatena.ne.jp/t_motooka/","blog_url":"https://tmotooka.hatenablog.jp/","description":"MySQL\u306e Group By \u3067\u30cf\u30de\u3063\u305f\u306e\u3067\u30e1\u30e2\u3002 \u30c6\u30b9\u30c8\u7528\u30c6\u30fc\u30d6\u30eb\u306e\u5b9a\u7fa9\uff08PostgreSQL\u3067\u3082MySQL\u3067\u3082\u52d5\u4f5cOK\uff09 create table hogehoge ( id int primary key, classification varchar(10), value numeric(5) ); \u30c6\u30b9\u30c8\u7528\u30c7\u30fc\u30bf insert into hogehoge values (1, 'test', 100); insert into hogehoge values (2, 'test', 200); insert into hogehoge values (3, 'foo', 50); \u2026","published":"2012-08-11 02:18:06","provider_url":"https://hatena.blog","width":"100%","html":""}