Processing cube -Error-A device attached to the system is not functioning
来源： https://stackoverflow.com/questions/62147670/processing-cube-error-a-device-attached-to-the-system-is-not-functioning
cube
Processing cube -Error-A device attached to the system is not functioning
来源： https://stackoverflow.com/questions/62147670/processing-cube-error-a-device-attached-to-the-system-is-not-functioning
When to use GROUPING SETS, CUBE and ROLLUP
问题 I have recently learned about GROUPING SETS, CUBE and ROLLUP for defining multiple grouping sets in sql server. What I am asking is under what circumstances do we use these features ? What are the benefits and advantages of using them? SELECT shipperid, YEAR(shippeddate) AS shipyear, COUNT(*) AS numorders FROM Sales.Orders GROUP BY GROUPING SETS ( ( shipperid, YEAR(shippeddate) ), ( shipperid ), ( YEAR(shippeddate) ), ( ) ); SELECT shipperid, YEAR(shippeddate) AS shipyear, COUNT(*) AS
When to use GROUPING SETS, CUBE and ROLLUP
问题 I have recently learned about GROUPING SETS, CUBE and ROLLUP for defining multiple grouping sets in sql server. What I am asking is under what circumstances do we use these features ? What are the benefits and advantages of using them? SELECT shipperid, YEAR(shippeddate) AS shipyear, COUNT(*) AS numorders FROM Sales.Orders GROUP BY GROUPING SETS ( ( shipperid, YEAR(shippeddate) ), ( shipperid ), ( YEAR(shippeddate) ), ( ) ); SELECT shipperid, YEAR(shippeddate) AS shipyear, COUNT(*) AS
When to use GROUPING SETS, CUBE and ROLLUP
问题 I have recently learned about GROUPING SETS, CUBE and ROLLUP for defining multiple grouping sets in sql server. What I am asking is under what circumstances do we use these features ? What are the benefits and advantages of using them? SELECT shipperid, YEAR(shippeddate) AS shipyear, COUNT(*) AS numorders FROM Sales.Orders GROUP BY GROUPING SETS ( ( shipperid, YEAR(shippeddate) ), ( shipperid ), ( YEAR(shippeddate) ), ( ) ); SELECT shipperid, YEAR(shippeddate) AS shipyear, COUNT(*) AS
SUM multiple Measures in CUBEVALUE
问题 I have tried multiple different functions CUBESET , CUBEVALUE etc., but I cant seem to find a way to SUM multiple Measures within the same formula. Any tips on how to get this done? I've searched extensively but couldn't find a way The Idea would be something of the following (but this doesn't work) CUBEVALUE("Connection",Period,Filter1,Filter2,CUBESET("Connection","{Measure1,Measure2}")) This is required to avoid: =CUBEVALUE("Connection",Period,Filter1,Filter2,Measure1)+ CUBEVALUE(
Unity2D贪吃蛇小游戏制作
1.导入资源包建立基础文件夹 2.用quad建立背景 更改大小（注意应为奇数倍放大）： 建立材质，指定贴图： 3.用cube创建蛇头： 4.更改摄像机大小： 5.创建编写蛇头移动脚本： 代码如下： 6.用cube创建食物： 变成预置键放入相应文件夹： 编写食物随机出现脚本，代码如下： 将此脚本绑在摄像机上 选择预置键： 7.给蛇头添加rigidbody并去掉重力 勾上 8.给food添加标签 9.编写食物被吃掉销毁代码： 10.给food也加上rigidbody 更改范围： 11.cube做一个蛇身做成预置键 长出蛇身代码编写： 绑给蛇头并勾上 12.新建场景 以及text并更改一些数值 13.编写场景切换代码： 14.切换回之前的场景，建立空对象，建立边界： 这样蛇头在碰到边界也会重新开始游戏 完成！ 来源： oschina 链接： https://my.oschina.net/u/4462209/blog/3213143
第一周：枚举
枚举：基于逐个尝试答案的一种求解策略 例题1：完美立方 描述： 形如(a^3) = (b^3) +(c^3) +(d^3) 等式称为完美立方等式。例如12，6，8，10。编写一个程序，对任给的正整数N（N<=100）,寻找所有的四元组（a,b,c,d），使得满足(a^3) = (b^3) +(c^3) +(d^3) ，其中a，b，c，d大于1，小于等于N，且b<=c<=d。 输入： 一个正整数N（N<=100） 输出： 每行输出一个完美立方。 输入样例： 24 输出样例： Cube = 6, Triple = (3,4,5) Cube = 12, Triple = (6,8,10) Cube = 18, Triple = (2,12,16) Cube = 18, Triple = (9,12,15) Cube = 19, Triple = (3,10,18) Cube = 20, Triple = (7,14,17) Cube = 24, Triple = (12,16,20) 解题思路： 四重循环枚举a，b，c，d，a在最外层，d在最里层，每一层都是从小到大枚举，范围：a[2,N]，b[2,a-1]，c[b,a-1]，d[c,a-1] 代码： # include <iostream> # include <cstdio> //通过使用c标准输入和输出库
three.js 学习之旅（一）
THREE.js学习 重要的3样东西： 场景(Scene)、相机(Camera)、渲染(Renderer) 1、首先新建一个场景(Scene)(ps:这里的场景类似flash的舞台) 2、然后新建一个相机(Camera),three.js里有很多不同的相机。官方示例里用的是--透视投影相机(PerspectiveCamera)。 1 PerspectiveCamera(fov, aspect, near, far) PerspectiveCamera构造函数接受4个参数。 -- fov 可视角度 -- aspect 宽高比(width/height)，通常设置为canvas元素的宽高比 -- near 近端距离 -- far 远端距离 只有离相机的距离大于near值，小于far值，且在相机的可视角度之内，才能被相机投影到。 3、场景跟相机都生成以后，还需要摆放在场景里的物体。 用BoxGeometry生成一个立方体。 1 BoxGemetry(width, height, dept, widthSegments, heightSegments, depthSegments) -- width,height,dept分别是长宽高 -- widthSegments, heightSegments, deptSegments是对应长宽高的分段，在使用线模式({wireframe:true
kylin的cube的原理
Kylin基本原理及概念 2019-01-24阅读 1K0 “带你走进Apache Kylin的世界” Kylin版本：2.5.1 前言 膜拜大神，Kylin作为第一个由国人主导并贡献到Apache基金会的开源项目，堪称大数据分析界的“神兽”。所以我也是抓紧时间来学习Kylin，感受Kylin所带来的魅力。 一、Kylin简介 Kylin的出现就是为了解决大数据系统中TB级别数据的数据分析需求，它提供Hadoop/Spark之上的SQL查询接口及多维分析(OLAP)能力以支持超大规模数据，它能在亚秒内查询巨大的Hive表。其核心是预计算，计算结果存在HBase中。 作为大数据分析神器，它也需要站在巨人的肩膀上，依赖HDFS、MapReduce/Spark、Hive/Kafka、HBase等服务。 二、Kylin优势 Kylin的主要优势为以下几点： 可扩展超快OLAP引擎：Kylin是为减少在Hadoop/Spark上百亿规模数据查询延迟而设计 Hadoop ANSI SQL 接口：Kylin为Hadoop提供标准SQL支持大部分查询功能 交互式查询能力：通过Kylin，用户可以与Hadoop数据进行亚秒级交互，在同样的数据集上提供比Hive更好的性能 多维立方体（MOLAP Cube）：用户能够在Kylin里为百亿以上数据集定义数据模型并构建立方体 与BI工具无缝整合