SQL Server 2005 数据库中的日期数据排序
你的部门负责从 SQL Server 2005 数据库中的数据创建客户电子邮件地址列表。此列表必须包含上次联系每个客户的日期。 结果集中的数据必须有列名。 列表必须以上次联系客户的日期排序,最近联系的人排在前边。LastContact 列以 datetime 类型存储。日期应以MM/
你的部门负责从 SQL Server 2005 数据库中的数据创建客户电子邮件地址列表。此列表必须包含上次联系每个客户的日期。 结果集中的数据必须有列名。 列表必须以上次联系客户的日期排序,最近联系的人排在前边。LastContact 列以 datetime 类型存储。日期应以MM/DD/YYYY 的形式显示。 一位同事设计了以下查询:SELECT email_address AS EmailAddress, CONVERT(nvarchar, lastcontact, 101) AS LastContact FROM Contact ORDER BY LastContact DESC.
你测试了此查询,并发现数据按如下顺序显示:
EmailAddress LastContact
andrew@contoso.com 01/24/2003
marc@contoso.com 06/12/2005
stefan@contoso.com 07/13/2004
你需要修改此查询以使数据按正确的顺序排列。 你想要对性能不造成任何负面影响而达成此目标,该怎样做?
SELECT email_address AS EmailAddress, CONVERT(nvarchar, lastcontact, 101) AS Last_Contact FROM Contact ORDER BY lastcontact DESC

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

HQL and SQL are compared in the Hibernate framework: HQL (1. Object-oriented syntax, 2. Database-independent queries, 3. Type safety), while SQL directly operates the database (1. Database-independent standards, 2. Complex executable queries and data manipulation).

I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.

Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker

Recently, the military circle has been overwhelmed by the news: US military fighter jets can now complete fully automatic air combat using AI. Yes, just recently, the US military’s AI fighter jet was made public for the first time and the mystery was unveiled. The full name of this fighter is the Variable Stability Simulator Test Aircraft (VISTA). It was personally flown by the Secretary of the US Air Force to simulate a one-on-one air battle. On May 2, U.S. Air Force Secretary Frank Kendall took off in an X-62AVISTA at Edwards Air Force Base. Note that during the one-hour flight, all flight actions were completed autonomously by AI! Kendall said - "For the past few decades, we have been thinking about the unlimited potential of autonomous air-to-air combat, but it has always seemed out of reach." However now,

The latest video of Tesla's robot Optimus is released, and it can already work in the factory. At normal speed, it sorts batteries (Tesla's 4680 batteries) like this: The official also released what it looks like at 20x speed - on a small "workstation", picking and picking and picking: This time it is released One of the highlights of the video is that Optimus completes this work in the factory, completely autonomously, without human intervention throughout the process. And from the perspective of Optimus, it can also pick up and place the crooked battery, focusing on automatic error correction: Regarding Optimus's hand, NVIDIA scientist Jim Fan gave a high evaluation: Optimus's hand is the world's five-fingered robot. One of the most dexterous. Its hands are not only tactile

The 2024QS World University Rankings by Subject is here! Overall, there is little change from 2023. According to the official website information, the 2024QS World University Rankings by Subject covers 55 subdivisions and 5 major academic fields. A total of 1,559 universities participated in the ranking, 64 of which are new faces this year (that is, they will not appear in the 2023 ranking). Among these 64 colleges and universities, 14 are truly appearing for the first time. Among them is the University of Chinese Academy of Sciences. According to the refined subjects, Music is a new subject introduced this year. In addition, the data science and artificial intelligence rankings have been expanded, with 51 new universities added to the rankings. The top five in the overall list are: Massachusetts Institute of Technology, University of Cambridge, University of Oxford, and Harvard University

FP8 and lower floating point quantification precision are no longer the "patent" of H100! Lao Huang wanted everyone to use INT8/INT4, and the Microsoft DeepSpeed team started running FP6 on A100 without official support from NVIDIA. Test results show that the new method TC-FPx's FP6 quantization on A100 is close to or occasionally faster than INT4, and has higher accuracy than the latter. On top of this, there is also end-to-end large model support, which has been open sourced and integrated into deep learning inference frameworks such as DeepSpeed. This result also has an immediate effect on accelerating large models - under this framework, using a single card to run Llama, the throughput is 2.65 times higher than that of dual cards. one

Open-Sora has been quietly updated in the open source community. It now supports video generation up to 16 seconds, with resolutions up to 720p, and can handle text-to-image, text-to-video, image-to-video, and video-to-video of any aspect ratio. and the generation needs of infinitely long videos. Let's try it out. Generate a horizontal screen Christmas snow scene, post to B site and then generate a vertical screen, and use Douyin to generate a 16-second long video. Now everyone can have a screenwriting addiction. How to play? Guidance GitHub: https://github.com/hpcaitech/Open-Sora What’s even cooler is that Open-Sora is still all open source, including the latest model architecture, the latest model weights, multi-time/resolution/long-term
