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文章链接:https://changbo.tech/blog/8973d72a.html
是
通过使用这些通用关系型操作(算子)来表达有限的DSL,Spark可以解析出表达式的结构。
Spark SQL 可以通过反射来自动推断出这些对象的schema。
视图
虽然在表面上 DataFrames 提供了和关系型查询语言一样的操作,如SQL和Pig,但是我们发现多亏了他们在整个编程语言中的集成才让用户使用起来如此简单。
...用于表示trees并且通过应用规则来操作trees
最后, Catalyst提供了一些公开的拓展点,包括外部数据源和用户定义类型。
每个node有一个node类型和0个或者多个子节点。
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Catalyst 包含了用于表达式、数据类型、逻辑和物理算子的node库。
DataFrame 代码中避免了在手写Scala代码中对KV键值对昂贵的空间申请。
少个右括号
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