{"author_name":"tatabox2000","categories":["scala","spark"],"provider_url":"https://hatena.blog","height":"190","blog_url":"https://tatabox.hatenablog.com/","type":"rich","description":"\u5217\u306e\u8ffd\u52a0\u306b\u7656\u304c\u3042\u308b\u3002 \u5358\u7d14\u306b\u5217\u6307\u5b9a\u3067\u8ffd\u52a0\u3059\u308b\u306e\u304c\u96e3\u3057\u3044\u3088\u3046\u3060\u3002 import org.apache.spark.sql.SparkSession //Dataset \u5316 val spark = SparkSession.builder().appName(\"Spark SQL basic example\").config(\"spark.some.config.option\", \"some-value\").master(\"local\").getOrCreate() import spark.implicits._ val data = (0 to 10).toDS() data.show() /\u2026","title":"Scala\u3067Spark\u306eDataframe\uff08\u4e00\u90e8Dataset\uff09","author_url":"https://blog.hatena.ne.jp/tatabox2000/","published":"2018-03-29 13:35:42","provider_name":"Hatena Blog","image_url":null,"url":"https://tatabox.hatenablog.com/entry/2018/03/29/133542","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftatabox.hatenablog.com%2Fentry%2F2018%2F03%2F29%2F133542\" title=\"Scala\u3067Spark\u306eDataframe\uff08\u4e00\u90e8Dataset\uff09 - tata\u8272\u3005\u306a\u5099\u5fd8\u9332\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","width":"100%","blog_title":"tata\u8272\u3005\u306a\u5099\u5fd8\u9332"}