Skip to main content

SQL - UNION and UNION ALL

I think that all of us used until now UNION in a SQLstatement. Using this operator we can combine the result of 2 queries.
For example we want to display the name of all our clients.In our database the clients are stored in separate databases based on theregion. To be able to display the name of all our clients we need to execute aquery on different table and combine the result:
SELECT Name FROM EuropeClients
UNION
SELECT Name FROM AsiaClients
Each time when we execute this call everything is fine. Inone day, the marketing team observes that there are clients that appear inEurope, but also in Asia, but when we execute this query we don’t have anyduplicated data.
This happen because UNION removes any duplicates rows.Because of this, if we want to count how many time a client name appears, itwill not be possible using just UNION.
SELECT Name, count(*) AS Count
FROM
(SELECT Name FROM EuropeClients
UNION
SELECT Name FROM AsiaClients)
GROUP BY Name
For this query, the Count column will be 1 everywhere. For thesecases we need to use an optional argument that UNION operator have. The ALLargument displays the duplicates rows also. Using this argument with UNION willpermit to get the result that we expected from our queue.
SELECT Name, count(*) AS Count
FROM
(SELECT Name FROM EuropeClients
UNION ALL
SELECT Name FROM AsiaClients)
GROUP BY Name
Maybe the example was not the best one. But I would like to emphasize that theUNION don’t return the duplicates rows, but UNION ALL do.
Also, before using anykind of SQL commands try to understand 100% what they do.

Comments

  1. It's not so surprising, because SQL is based on set theory, where any set (thus also the union result) contains only unique elements.

    Anyway, from a practical point of view, what is important is that any DBA will prefer UNION ALL for another reason: obviously, is much faster, in general.

    ReplyDelete
    Replies
    1. +1 Tudor for the speed reason :)

      Delete
    2. Next obvious question: if SQL is based on set theory, why SELECT doesn't return always unique results? ;)

      Delete

Post a Comment

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...