而优化后的SQL(子查问那条)只读索引(Cover index)就能够了,而后经过member_id读取需求的列。 总结:limit的优化制约都比拟多,以是理论情况用或许不必只能详细情况详细分析了。
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a:using index:该值表示相迎的select操作中使用了覆盖索引(cover index) b:using where:表示mysql服务器再存储引擎受到记录后进行“后过滤”;
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canopy cover index 树冠覆盖度指数
vegetative cover index 植被覆盖指数
land vegetative cover index 土地植被覆盖指数
Index of Land Cover Impact 覆盖物响应指数 ; 盖物响应指数 ; 地表覆盖物响应指数
Land Cover Chang Index 为土地覆被转
land cover condition index 土地覆被状况指数
Vegetation cover index decreases by a big margin, indicating that the vegetation cover reduces obviously.
两年的植被覆盖指数相差较大,说明植被覆盖减少显著。
The accuracy of land vegetative cover index rested with the accuracy of image classification, but had no direct relations with total classification accuracy.
土地植被覆盖指数的准确度取决于图像分类准确度,但与分类总准确度没有直接关系。
Because each index incurs extra data updating overhead, the goal should be to create a small number of indexes to cover as many queries as possible.
因为索引会带来额外的数据更新开销,所以应该争取创建少量索引来覆盖尽可能多的查询。
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