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Analytical Queries with Hive: SQL Windowing and Table Functions Hive Query Language (HQL) is excellent for productivity and enables reuse of SQL skills, but falls short in advanced analytic queries. Hive`s Map & Reduce scripts mechanism lacks the simplicity of SQL and specifying new analysis is cumbersome. We developed SQLWindowing for Hive(SQW) to overcome these issues. SQW introduces both Window
1. Hive/Pigを使ったKDD'12 track2 の広告クリック率予測 油井 誠 m.yui@aist.go.jp 産業技術総合研究所 情報技術研究部門 Twitter ID: @myui スライド http://www.slideshare.net/myui/dsirnlp-myuilt 1 http://goo.gl/Ulf3A 2. KDDcup 2012 track2 • 検索ログを基に、検索エンジンの広告のクリック 率(Click-Through Rate)を推定するタスク – 中国の3大検索エンジンの一つsoso.comの実データ • 検索語などはHash値などを利用してすべて数値化されてい る – Trainingデータ(約10GB+2.2GB, 15億レコード) – Testデータ(約1.3GB, 2億レコード) • 学習データの1.33割が評価用データセット –
When hive.cache.expr.evaluation is set to true (which is the default) a UDF can give incorrect results if it is nested in another UDF or a Hive function. This bug affects releases 0.12.0, 0.13.0, and 0.13.1. Release 0.14.0 fixed the bug (HIVE-7314). The problem relates to the UDF's implementation of the getDisplayString method, as discussed in the Hive user mailing list.
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