被解析器解析过的查询语句进入查询变换器，表现出来的是一组查询块(query block)， 这些查询块之间是相互关联的或者是嵌套的，查询的形式决定这些查询块相互之间如何被关联。
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Firstly, the concepts as query graph with redundant clause, boundary point and query block are introduced in traditional Kruskal algorithm and the improved algorithm MQB-K mainly consists of query graph dividing , query block optimizing and query graph reconstructing.
首先将带冗余条件表达式的查询图、边界点和查询块等概念引入Kruskal算法。
参考来源 - 分布式异构数据互操作的若干关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
If a matching User is found, you create a query block.
如果找到了一个匹配的User，就需要创建一个查询块。
In order to solve the difficulty of nested structure of SQL, the idea of query block is introduced and the algorithm of changing query block to SQL is realized.
为了解决嵌套结构转换的难点，引进了查询块的概念，实现了查询块向SQL语句转换的算法，并将此转换方法与以前的方法进行了比较。
The query expression is a building block that can be assembled to define the final selection predicate for the query.
该查询表达式是一个构建块，可以通过组装它为查询定义最后的选择谓词。
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