大佬，有入門的資料嗎?
flowable 流程引擎總結(jié)最近公司使用Flowable開發(fā)了自己的OA系統(tǒng)锉走，因此對(duì)Flowable的相關(guān)內(nèi)容進(jìn)行如下總結(jié) 一拌夏、Flowable 是什么 目前最新版是Flowable 6.4.2（201...
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IP屬地：浙江
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我們現(xiàn)在也要用這個(gè) 以前沒接觸過 請(qǐng)問怎么樣開始??
115046093ede 評(píng)論自flowable 流程引擎總結(jié) -
我也覺得是這樣，但是我去面試的時(shí)候說DataFrame是DataSet的子集逛拱，面試官驚訝（他覺得我說的是錯(cuò)的）
RDD、DataFrame和DataSet的區(qū)別
spark 2.X開始，三者的關(guān)系發(fā)生了變化杂腰，可以參考《且談Apache Spark的API三劍客：RDD、DataFrame和Dataset》 ,在2.X中DataFram...
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我有個(gè)疑問：
官網(wǎng)原文
A DataFrame is a Dataset organized into named columns. It is conceptually equivalent to a table in a relational database or a data frame in R/Python, but with richer optimizations under the hood. DataFrames can be constructed from a wide array of sources such as: structured data files, tables in Hive, external databases, or existing RDDs. The DataFrame API is available in Scala, Java, Python, and R. In Scala and Java, a DataFrame is represented by a Dataset of Rows. In the Scala API, DataFrame is simply a type alias of Dataset[Row]. While, in Java API, users need to use Dataset<Row> to represent a DataFrame.
其中兩句：
DataFrame is represented by a Dataset of Rows
A DataFrame is a Dataset organized into named columns
意思是不是DataFrame是DataSet的子集椅文，而不是DataSet是DataFrame的特例喂很？Fang2016 評(píng)論自RDD、DataFrame和DataSet的區(qū)別