{"height":"190","url":"https://kazuhira-r.hatenablog.com/entry/20180612/1528803719","blog_url":"https://kazuhira-r.hatenablog.com/","author_name":"Kazuhira","provider_url":"https://hatena.blog","width":"100%","title":"Apache Groovy\uff0bGrapes\u3067\u3001Apache Spark\u3092\u52d5\u304b\u3059","type":"rich","categories":["Groovy","Spark"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fkazuhira-r.hatenablog.com%2Fentry%2F20180612%2F1528803719\" title=\"Apache Groovy\uff0bGrapes\u3067\u3001Apache Spark\u3092\u52d5\u304b\u3059 - CLOVER\ud83c\udf40\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/Kazuhira/","blog_title":"CLOVER\ud83c\udf40","image_url":null,"published":"2018-06-12 20:41:59","description":"Apache Spark\u3092\u3001Apache Groovy\uff0bGrapes\u3092\u4f7f\u3063\u3066\u3001\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u52d5\u304b\u3057\u3066\u307f\u3088\u3046\u304b\u306a\u3068\u3002\u3044\u3084\u3001\u30ed\u30fc\u30ab\u30eb\u52d5\u4f5c\u3067\u3044\u3044\u306e\u3067\u3001\u5c11\u3057\u304a\u624b\u8efd\u306bApache Spark\u3092\u4f7f\u3046\u65b9\u6cd5\u304c\u6b32\u3057\u304f\u3066\u3067\u3059\u306d\u2026\u3002\u30b5\u30f3\u30d7\u30eb\u3068\u3057\u3066\u306f\u3001\u3053\u3061\u3089\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u898b\u306a\u304c\u3089Groovy\u30b9\u30af\u30ea\u30d7\u30c8\u306b\u3057\u3066\u3044\u3053\u3046\u3068\u601d\u3044\u307e\u3059\u3002Spark SQL, DataFrames and Datasets Guide / Data SourcesCSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u3093\u3067\u307f\u308b\u4f8b\u3067\u3059\u306d\u3002\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3068\u540c\u3058\u304f\u3001CSV\u30d5\u30a1\u30a4\u30eb\u306fexample\u306e\u3082\u306e\u3092\u4f7f\u7528\u3057\u3066\u307f\u307e\u3059\u3002 $ wget https://raw.githubusercontent.\u2026"}