Table of Contents
SQL语句去掉重复记录,获取重复记录
Home Database Mysql Tutorial 如何用SQL语句去掉重复记录

如何用SQL语句去掉重复记录

Jun 07, 2016 pm 04:24 PM
sql remove data Massive Record statement repeat

海量数据(百万以上),其中有些全部字段都相同,有些部分字段相同,怎样高效去除重复? 如果要删除手机(mobilePhone),电话(officePhone),邮件(email)同时都相同的数据,以前一直使用这条语句进行去重: delete from 表 where id not in (select max(id) f

海量数据(百万以上),其中有些全部字段都相同,有些部分字段相同,怎样高效去除重复?

如果要删除手机(mobilePhone),电话(officePhone),邮件(email)同时都相同的数据,以前一直使用这条语句进行去重:

delete from 表 where id not in 
(select max(id) from 表 group by mobilePhone,officePhone,email )
or
delete from 表 where id not in 
(select min(id) from 表 group by mobilePhone,officePhone,email )
Copy after login

其中下面这条会稍快些。上面这条数据对于100万以内的数据效率还可以,重复数1/5的情况下几分钟到几十分钟不等,但是如果数据量达到300万以上,效率骤降,如果重复数据再多点的话,常常会几十小时跑不完,有时候会锁表跑一夜都跑不完。无奈只得重新寻找新的可行方法,今天终于有所收获:

//查询出唯一数据的ID,并把他们导入临时表tmp中
select min(id) as mid into tmp from 表 group by mobilePhone,officePhone,email
//查询出去重后的数据并插入finally表中
insert into finally select (除ID以外的字段) from customers_1 where id in (select mid from tmp)
Copy after login

效率对比:用delete方法对500万数据去重(1/2重复)约4小时。4小时,很长的时间。

用临时表插入对500万数据去重(1/2重复)不到10分钟。

SQL语句去掉重复记录,获取重复记录

按照某几个字段名称查找表中存在这几个字段的重复数据并按照插入的时间先后进行删除,条件取决于order by 和row_num。

方法一按照多条件重复处理:

delete tmp from(
select row_num = row_number() over(partition by 字段,字段 order by 时间 desc)
    from 表 where 时间> getdate()-1
) tmp
where row_num > 1 
Copy after login

方法二按照单一条件进行去重:

delete from 表 where 主键ID not in(
select max(主键ID) from 表 group by 需要去重的字段 having count(需要去重的字段)>=1
)
Copy after login

注意:为提高效率如上两个方法都可以使用临时表, not in 中的表可以先提取临时表#tmp,

然后采用not exists来执行,为避免数量过大,可批量用Top控制删除量

delete top(2) from 表 
        where  not exists (select 主键ID
  from #tmp where #tmp.主键ID=表.主键ID) 
Copy after login
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1671
14
PHP Tutorial
1276
29
C# Tutorial
1256
24
Use ddrescue to recover data on Linux Use ddrescue to recover data on Linux Mar 20, 2024 pm 01:37 PM

DDREASE is a tool for recovering data from file or block devices such as hard drives, SSDs, RAM disks, CDs, DVDs and USB storage devices. It copies data from one block device to another, leaving corrupted data blocks behind and moving only good data blocks. ddreasue is a powerful recovery tool that is fully automated as it does not require any interference during recovery operations. Additionally, thanks to the ddasue map file, it can be stopped and resumed at any time. Other key features of DDREASE are as follows: It does not overwrite recovered data but fills the gaps in case of iterative recovery. However, it can be truncated if the tool is instructed to do so explicitly. Recover data from multiple files or blocks to a single

What is the difference between HQL and SQL in Hibernate framework? What is the difference between HQL and SQL in Hibernate framework? Apr 17, 2024 pm 02:57 PM

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).

Open source! Beyond ZoeDepth! DepthFM: Fast and accurate monocular depth estimation! Open source! Beyond ZoeDepth! DepthFM: Fast and accurate monocular depth estimation! Apr 03, 2024 pm 12:04 PM

0.What does this article do? We propose DepthFM: a versatile and fast state-of-the-art generative monocular depth estimation model. In addition to traditional depth estimation tasks, DepthFM also demonstrates state-of-the-art capabilities in downstream tasks such as depth inpainting. DepthFM is efficient and can synthesize depth maps within a few inference steps. Let’s read about this work together ~ 1. Paper information title: DepthFM: FastMonocularDepthEstimationwithFlowMatching Author: MingGui, JohannesS.Fischer, UlrichPrestel, PingchuanMa, Dmytr

Google is ecstatic: JAX performance surpasses Pytorch and TensorFlow! It may become the fastest choice for GPU inference training Google is ecstatic: JAX performance surpasses Pytorch and TensorFlow! It may become the fastest choice for GPU inference training Apr 01, 2024 pm 07:46 PM

The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream

Slow Cellular Data Internet Speeds on iPhone: Fixes Slow Cellular Data Internet Speeds on iPhone: Fixes May 03, 2024 pm 09:01 PM

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

Tesla robots work in factories, Musk: The degree of freedom of hands will reach 22 this year! Tesla robots work in factories, Musk: The degree of freedom of hands will reach 22 this year! May 06, 2024 pm 04:13 PM

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

Alibaba 7B multi-modal document understanding large model wins new SOTA Alibaba 7B multi-modal document understanding large model wins new SOTA Apr 02, 2024 am 11:31 AM

New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.

The vitality of super intelligence awakens! But with the arrival of self-updating AI, mothers no longer have to worry about data bottlenecks The vitality of super intelligence awakens! But with the arrival of self-updating AI, mothers no longer have to worry about data bottlenecks Apr 29, 2024 pm 06:55 PM

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.

See all articles