From c107e0388d6c7f174a83f7c583ec7a87e4a139d3 Mon Sep 17 00:00:00 2001 From: Denis Stebunov Date: Sun, 8 Dec 2024 00:50:50 +0200 Subject: [PATCH] add initial content for the Blog section --- content/blog/_index.md | 5 + content/blog/three-steps/balsamiq.png | Bin 0 -> 765801 bytes content/blog/three-steps/dbdiagram.png | Bin 0 -> 525794 bytes content/blog/three-steps/index.md | 133 +++++ .../days-without-new-javascript-framework.png | Bin 0 -> 384037 bytes .../why-go-full-stack/growth-in-web-apis.png | Bin 0 -> 55811 bytes .../how-did-your-hackathon-go.png | Bin 0 -> 20170 bytes content/blog/why-go-full-stack/index.md | 230 +++++++++ .../the-rise-of-frontend-frameworks.png | Bin 0 -> 23069 bytes .../why-go-full-stack/why-go-full-stack.png | Bin 0 -> 33629 bytes .../index.md | 115 +++++ .../rocket.png | Bin 0 -> 36134 bytes .../a-typical-deployment-process.svg | 41 ++ .../a-typical-web-app.png | Bin 0 -> 52788 bytes .../adding-a-table-column.png | Bin 0 -> 29600 bytes .../deployment-process-with-DB-upgrade.svg | 51 ++ .../blog/zero-downtime-DB-migrations/index.md | 456 ++++++++++++++++++ .../removing-a-table-column.png | Bin 0 -> 29519 bytes .../renaming-a-table.png | Bin 0 -> 30079 bytes .../replacing-a-table-column.png | Bin 0 -> 32222 bytes layouts/blog/blog.html | 7 + layouts/blog/single.html | 5 + 22 files changed, 1043 insertions(+) create mode 100644 content/blog/_index.md create mode 100644 content/blog/three-steps/balsamiq.png create mode 100644 content/blog/three-steps/dbdiagram.png create mode 100644 content/blog/three-steps/index.md create mode 100644 content/blog/why-go-full-stack/days-without-new-javascript-framework.png create mode 100644 content/blog/why-go-full-stack/growth-in-web-apis.png create mode 100644 content/blog/why-go-full-stack/how-did-your-hackathon-go.png create mode 100644 content/blog/why-go-full-stack/index.md create mode 100644 content/blog/why-go-full-stack/the-rise-of-frontend-frameworks.png create mode 100644 content/blog/why-go-full-stack/why-go-full-stack.png create mode 100644 content/blog/why-public-chats-are-better-than-direct-messages/index.md create mode 100644 content/blog/why-public-chats-are-better-than-direct-messages/rocket.png create mode 100644 content/blog/zero-downtime-DB-migrations/a-typical-deployment-process.svg create mode 100644 content/blog/zero-downtime-DB-migrations/a-typical-web-app.png create mode 100644 content/blog/zero-downtime-DB-migrations/adding-a-table-column.png create mode 100644 content/blog/zero-downtime-DB-migrations/deployment-process-with-DB-upgrade.svg create mode 100644 content/blog/zero-downtime-DB-migrations/index.md create mode 100644 content/blog/zero-downtime-DB-migrations/removing-a-table-column.png create mode 100644 content/blog/zero-downtime-DB-migrations/renaming-a-table.png create mode 100644 content/blog/zero-downtime-DB-migrations/replacing-a-table-column.png create mode 100644 layouts/blog/blog.html create mode 100644 layouts/blog/single.html diff --git a/content/blog/_index.md b/content/blog/_index.md new file mode 100644 index 0000000..11bdfec --- /dev/null +++ b/content/blog/_index.md @@ -0,0 +1,5 @@ +--- +title: Blog - ivelum +description: ivelum is a distributed team of engineers headquartered in Vilnius, Lithuania. 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Good programmers worry about data +> structures and their relationships." - Linus Torvalds. + +> "Smart data structures and dumb code works a lot better than the other way +> around." - Eric S. Raymond. + +Yes, data structures are important. Depending on the task, we may optimize them +for data consistency, speed, storage requirements, and developer experience; +and how we organize data may have vast implications in all of these dimensions. +However, the reason why they're on my list is something else: + +**Data structures are harder to change.** If we modify a data structure, we'll +have to update all the code that works with it and also migrate the existing +data to the new structure, which can be quite a challenge depending on the +project stage and size. As a result, data structures often live longer than the +original code that was shipped with them. Also, building more features on top +of existing data structures is quite common, so it makes sense to try to make +them future-proof to some degree. + +This is why data structures are #3 on my list. After we study the task context +and understand how users will interact with the system, this is the next +important thing to tackle. We can certainly revise data structures later while +working on a feature, maybe even multiple times, but given their importance and +potentially problematic updates, we should start working on them as early as +possible in the process. + +If the project is based on a relational database and the feature you're working +on uses multiple tables, it might be a good idea to visualize it using an ER +diagram. ER diagrams are arguably the most useful part of the UML +specification. You may skip everything else in UML, but if you're working with +relational databases, don't skip ER diagrams :) + +[![ER diagram example](dbdiagram.png)](dbdiagram.png) +*Credit: [dbdiagram.io](https://dbdiagram.io)* + +## Summary + +When you start working on a new feature: + +1. Understand "why"; +2. Review UX designs or create your own; +3. Design data structures; +4. 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We'll be looking at one specific area – web development. +We won't be talking about mobile apps, machine learning, game development, +and whatever else is on the horizon; this post is about web development only. +So let's start with a brief history of how it evolved in the last two decades. + +In the early 2000-s, when the web was young, the distinction between frontend +and backend developers barely existed. Browsers were not as powerful as today, +and websites looked much simpler. Some people specialized in working with +HTML/CSS, but that was a bit different – HTML is a markup language, not a +programming language. The industry was already pretty active, though. PHP, +Java, Ruby, JavaScript, CSS, MySQL, and Postgres were all introduced in +1995-1996, and we still use these technologies today. By 2000, developers had +already built enough websites to +[crash the stock market](https://en.wikipedia.org/wiki/Dot-com_bubble), even +without jQuery! But that was going to change. + +## 2010-s: The rise of frontend frameworks + +The major shift happened somewhere in the 2010-s when frontend frameworks +emerged. A remarkable demonstration of what they made possible is Trello, +a popular issue tracker released in 2011. It was built on the Backbone.js +framework, which was cutting-edge technology at the time. Since Trello used +the Single Page Application (SPA) architecture, it didn't require a full page +reload to interact with the server. And it felt fast! Trello was very popular, +thanks to its good design and a generous free plan, so many people tried it +and are still using it. + +[![The rise of frontend frameworks](the-rise-of-frontend-frameworks.png)](the-rise-of-frontend-frameworks.png) + +Trello wasn't the very first SPA, of course. Another famous example is GMail +which was introduced in 2004. However, Trello was built on a frontend +framework, and frontend frameworks promised to do a significant amount of heavy +lifting for you. It was around early 2010-s when frontend frameworks really +started to take off: Backbone and Angular.js were released in 2010, Ember.js +in 2011, React.js in 2013, and so on. + +I'm not sure if it was pure coincidence or a result of Trello's popularity, but +at that time [TODO list](https://todomvc.com/) had become a canonical example, +showcasing the capabilities of JS frameworks. + +## APIs + +Simultaneously in the 2010-s there was an explosive growth of APIs: + +[![Growth in web APIs](growth-in-web-apis.png)](growth-in-web-apis.png) + +*Source: [Programmable Web](https://www.programmableweb.com/news/apis-show-faster-growth-rate-2019-previous-years/research/2019/07/17)* + +Many organizations realized that building APIs could be a way to save +development efforts and move faster. The same API can be behind a web +application and a mobile app, and when needed, it can be exposed outside and +used by external integrations. Widespread adoption of the REST API concept has +further boosted the API development. + +## Frontend developers + +Frontend frameworks were hot in the 2010-s. People were talking about them at +conferences. At that time, the joke about "X days without a new JavaScript +framework" wasn't so much of a joke. + +[![Days without a new JavaScript framework](days-without-new-javascript-framework.png)](days-without-new-javascript-framework.png) + +Some web developers were excited about these innovations, but others... not so +much. Previously, CSS and JavaScript were already perceived by many as a mess. +Browsers were not very compatible with each other, so numerous CSS and +JavaScript hacks were required to get things working consistently in all +browsers. Now, another layer of complexity had been added – frontend frameworks, +JS bundlers, and package managers, and they were young and still in flux. + +[![How did your hackathon go](how-did-your-hackathon-go.png)](how-did-your-hackathon-go.png) + +And so, some developers started to specialize in this area and call themselves +frontend developers. It seemed reasonable because the industry was moving +rapidly. All that additional complexity required additional time to study, and +developers were always in demand. Many "traditional" web developers converted +to backend developers and were glad they wouldn't have to deal with that +ever-changing frontend mess. + +APIs became a natural separation of responsibility between the backend and +frontend. Backend developers would build an API, and frontend developers would +build a web application on top of it. + +The separation of backend and frontend roles provides two major benefits: + +1. **Hiring becomes easier.** Since the scope of required knowledge for each + role has been reduced, it would take less time to become a qualified + developer. Besides, such a separation allows people to choose an area they + like more. Some folks enjoy working with interfaces, and others prefer the + backend world with databases and algorithms. +2. **It allows deeper specialization.** Again, because of the more reduced + scope, people would become experts in their areas faster. + +Some people would argue that there are additional benefits of faster and/or +better quality development due to higher specialization, but it's not always +the case. It could be true for some projects and false for others due to the +reasons outlined in the next section. + +## What problems do full-stack developers solve + +[![Why go full-stack](why-go-full-stack.png)](why-go-full-stack.png) + +Not everyone has hopped on that backend-frontend separation train, though. +Simultaneously with frontend developers, a competing role emerged – full-stack +developers. They were specifically required to work with both the backend and +frontend, like in the good old days, but with modern technologies. Facebook is +a notorious example – there was a time when they proudly stated that they hired +full-stack developers only. You can also find full-stack positions in Google, +Netflix, and many other reputable organizations. + +Why hasn't everyone embraced that frontend-backend role separation? Well, +because it isn't free. Besides the benefits mentioned above, there are some +issues, most notably: + +**Extra dependencies to manage.** Backend and frontend separation has +introduced a dependency. Frontend developers rely on an API but cannot build +it themselves. As a result, they need to talk to backend developers first, +agree on the API design, and then wait until backend developers implement it. +If they don't have other tasks to work on while waiting, they can build an API +mock, work with it in the meantime, and then replace it with a real API. If +later they discover that something is missing in the API or it doesn't work +as expected, they need to talk to backend developers again and then wait for +an update or fix. + +**Mediocre APIs** often emerge as a result of such separation. Sometimes, +frontend developers can see that the API they're using is not perfect, but at +the same time, they can work around it with some hacks. Of course, ideally, +they should report it to backend developers and suggest improvements, but that +entails some friction, so issues often end up being neglected. For backend +developers, it could be harder to see usability problems with their APIs +because of a lack of "dogfooding" – they don't use what they build themselves. + +**Workload distribution problems,** especially in smaller teams. It's much +easier to prioritize work in a team of full-stack developers because all of +them can work on any task. The percentage of the backend-vs-frontend work +during the project's life may vary. With dedicated backend and frontend +developers, their workload is often suboptimal. Frontend developers could be +overloaded with high-priority tasks, and backend developers cannot help them, +and vice versa. + +**Some technologies cross boundaries.** Let's take Server Side Rendering (SSR), +for example. With SSR, the same code is executed on the server side and then in +the browser. Technically, it is closer to the frontend since it mentions the +frameworks that frontend developers are typically using. However, frontend +developers would no longer be in their traditional territory – they would be +running their code on a server. Another example is Hotwire for Ruby on Rails +which was introduced in 2021. This takes an alternative approach, suggesting +adding interactivity to web pages without traditional SPAs and APIs. +WebAssembly is another interesting technology for high-performance code that +can run on both server and client. + +**Lack of product thinking.** Since full-stack developers work on all aspects +of a task, they tend to understand better the big picture of what they're +building. Frontend developers see how people would interact with software, but +they may have a vague understanding of its internals. Therefore, it may be hard +for them to decide what would be easy to build and what is challenging, and +which optimizations are possible. On the other hand, backend developers +understand the internals very well, but they may not look at the product from +the end user's perspective. + +## State of modern frontend + +What has changed in frontend development since the 2010-s? Well, many things, +but most importantly – it has matured: + +- New frontend frameworks no longer appear every other day. The innovation in + this area continues, but it's no longer a crazy ride like in the 2010-s; +- Browsers have improved! We no longer need that ridiculous amount of CSS hacks + in our codebase. Flexbox and Grid layouts are now safe to use for most apps, + so we can finally center a div. +- JavaScript has improved, and it's not just + [leftpad](https://qz.com/646467/how-one-programmer-broke-the-internet-by-deleting-a-tiny-piece-of-code) + being [accepted as a standard](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/padStart). + There have been numerous improvements in the language, tooling, frameworks, + libraries, package managers, bundlers, linters, and testing tools. And it's + no longer considered a slow language – it's faster than some popular + languages used on the backend, such as Python or Ruby; +- TypeScript is now the standard de-facto for those who prefer stronger typing. + +This is not to say that all problems on the frontend are solved, but today it's +much easier to work with it than ten years ago. Yes, a large portion of +complexity is still there, but it's no longer such a mess, so there are fewer +reasons for backend developers to hate it. + +## Should you hire full-stack developers? + +It depends. There could be no benefit from full-stack developers in areas of +your project with little or no back-and-forth between the backend and frontend. +Hiring dedicated backend or frontend developers is easier, and it matters. + +However, if interactions between the backend and frontend happen regularly, +and most tasks require working on both parts – then maybe consider hiring at +least some full-stack developers. Hiring would be more difficult, but it's +certainly doable. I know it first-hand since we've been hiring full-stack +developers at ivelum for years. If you don't take it from me, take it from +Google, Meta, Netflix, and others. High-qualified full-stack developers do +exist, and it is possible to find them. + +You can also have a hybrid team – some frontend and backend developers and +some full-stack folks to take the best from both worlds. + +## Should you become a full-stack developer? + +When you read these lines, I bet you already know the answer. It's perfectly +fine if you don't want it – specialization is nothing wrong. Most job offers +nowadays are for frontend or backend developers, and it's very unlikely that +it'll change anytime soon. + +If you'd like to give it a try, then go ahead! Even if you are not going to +apply for a full-stack position, a better understanding of what happens on the +other side will help you to see the big picture and be a more productive +collaborator. And if you really invest in it, you'll be able to apply for a +broader range of jobs and build complete features from start to finish. + +Here are a couple of random thoughts on this topic: + +- For backend developers, it might be easier to switch to full-stack + development. The scope of additional knowledge required is significant but + smaller than for the other side; +- For frontend developers, trying Node.js might be enticing. There are many + things to learn on the backend, and with Node, you won't have to start by + learning a new programming language. + +And that's all I have for today. 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a/content/blog/zero-downtime-DB-migrations/index.md b/content/blog/zero-downtime-DB-migrations/index.md new file mode 100644 index 0000000..f5a30de --- /dev/null +++ b/content/blog/zero-downtime-DB-migrations/index.md @@ -0,0 +1,456 @@ +--- +title: Migrating a production database without any downtime +description: The basic principles of zero-downtime DB migrations and quick recipes for the most common scenarios for MySQL and Postgres +date: 2024-10-16T14:32:00+0200 +--- + +In this episode, we'll cover the basic principles of zero-downtime database +migrations and provide quick recipes for the most common scenarios. + +**Contents:** + +- [How does a deployment process work?](#how-does-a-deployment-process-work) +- [How to run the DB migration script](#how-to-run-the-db-migration-script) +- [What can cause downtime during database migration?](#what-can-cause-downtime-during-database-migration) +- [Example 1: downtime caused by a new column](#example-1-downtime-caused-by-a-new-column) ([solution](#solution-1)) +- [Example 2: downtime caused by a column removal](#example-2-downtime-caused-by-a-column-removal) ([solution](#solution-2)) +- [Example 3: renaming a column or changing its data type](#example-3-renaming-a-column-or-changing-its-data-type) ([solution](#solution-3)) +- [Example 4: renaming a table](#example-4-renaming-a-table) ([solution](#solution-4)) +- [A generic approach to maintaining backward DB compatibility](#a-generic-approach-to-maintaining-backward-db-compatibility) +- [Heavy DB operations](#heavy-db-operations) +- [Conclusion](#conclusion) + +## How does a deployment process work? + +Let's take a look at a simplified deployment process for a typical web +application. Most applications these days rely on load balancing and container +orchestration: + +[![A typical web app](a-typical-web-app.png)](a-typical-web-app.png) + +What happens when we need to deploy a new version of an application? The +deployment process replaces app instances one by one. It excludes them from the +cluster first, replaces app instances with newer versions, and then puts them +back in the cluster: + +[![Deployment process](a-typical-deployment-process.svg)](a-typical-deployment-process.svg) + +As shown in the animation above, the application version 2 gradually replaces +previous version 1 without any service interruption for end users. + +This is all well and good, but what if application v2 requires some changes in +the database? Unlike application instances, the database is a shared stateful +resource, so we cannot simply clone it and use the same technique that we used +for application instances. The only viable solution for upgrading the database +is to modify it in place. At what point in time should we modify the database? + +Since the application version 2 requires an upgraded DB version 2 to work +correctly, the database must be upgraded before putting any instance of +application v2 into production. Therefore, a deployment process that includes +a database upgrade should look like this: + +[![Deployment process with the DB upgrade](deployment-process-with-DB-upgrade.svg)](deployment-process-with-DB-upgrade.svg) + +## How to run the DB migration script + +Please note that how you run a DB migration script matters. For example, it might be tempting to make it part of the +application startup, like this: + +```bash + && +``` + +The idea behind such an arrangement is that the first application instance +being launched will run the DB migrations, and for the other instances the +script will be a no-op since the DB is already upgraded. + +Please **DON'T DO THIS.** + +First, since we're launching multiple application instances in parallel on our +cluster, the DB migration script must handle parallel executions correctly. +Depending on the DB migration framework you're using, and how the script is +written, it may or may not do so. A migration has three main states — not +started, in progress, finished. The script must detect that another migration +is already in progress and wait. If it doesn't wait, it may cause crashes or +even corrupted data. + +Second — even if DB migration scripts handle parallel executions correctly, +there's an issue with retries. It is important that the DB migration script +gets executed once and only once, and if it fails, the whole deployment +process must be stopped and rolled back. For example, if the migration +fails due to a timeout on a long heavy SQL operation, you don't want to retry +it again and again automatically. The reasonable solution would be to roll +back immediately after the first failure, investigate, fix the migration +script, and only then try again. + +This is why the DB migration script is launched from a CI/CD server in the +animation above. But it doesn't necessarily have to be done in that way. +For example, it could be a one-time Kubernetes task that is launched as +a part of a deployment process or something like that. Just remember the main +principle — launch it only once, and if it fails — roll back immediately. + +## What can cause downtime during database migration? + +There are two main reasons for this: + +1. **Backward incompatibility.** As shown above, a deployment process isn't + instant, and at some point, the database is already upgraded, but older + application instances are still running in production. If the newer database + version is incompatible with the previous application version, it may cause + errors and crashes in production until older application instances are fully + replaced with newer ones. +2. **Heavy DB operations.** A database migration may include some heavy + operations, which lead to increased DB server load or prolonged database + locks. As a result, it may slow down the application or make it unresponsive + during the DB upgrade. + +Now, let's look at the most common cases related to the backward +incompatibility problem. We'll also briefly talk about heavy DB operations at +the end of this post. + +## Example 1: downtime caused by a new column + +Let's say we're building a new feature — user avatars. After registration, +every user will get a randomly generated avatar with an option to upload their +own. To implement this, we need to add the `avatar` column to the `Users` table: + +[![Adding a table column](adding-a-table-column.png)](adding-a-table-column.png) + +How can we upgrade the database from v1 to v2 in this case? Our database +migration script should include the following operations: + +1. Add the `avatar` field to the `Users` table, nullable; +2. Update all existing records in the `Users` table, generate random avatars; +3. Make the `avatar` field non-nullable. + +And in the application code, we need to implement the following functionality: + +1. Generate random avatars for new users; +2. Show user avatars where appropriate; +3. Provide an option for users to upload their custom avatars. + +What will happen if we just naively push all of the above into production? +As we mentioned before, the database migration script will run first. Then the +application instances will be gradually replaced with their newer versions. +At some point in time, the previous application version, which doesn't know +anything about the `avatar` field yet, will be running against the upgraded DB +version, which already has that new field. + +**It will effectively lead to broken user registrations** since application v1 +will try to insert new records into the Users table without any value provided +for the avatar field, which is non-nullable. Of course, the problem will fix +itself after some time when all v1 application instances are replaced with v2. +However, since we're talking about "zero-downtime deployments," this is not +good enough for us. Let's see how we can deploy this new feature without any +downtime. + +## Solution {#solution-1} + +The trick is to split the feature deployment into multiple phases and deploy +them one by one, waiting for each phase to deploy completely before moving to +the next one. In this particular case, we need two phases: + +### Phase 1 {#solution-1-phase-1} + +| DB migration script | New app features | +|:-----------------------------------------------------:|:-----------------------------------:| +| Add the `avatar` field to the `Users` table, nullable | Generate random avatars for all new users under the hood | + +The database migration script only adds a new nullable field and therefore +doesn't cause any issues with new records inserted by the previous app version. +Then the updated application version is deployed, and the new field becomes +populated for all new records. + +### Phase 2 {#solution-1-phase-2} + +| DB migration script | New app features | +|:------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------:| +| Generate random avatars for all existing users with empty avatars; | All remaining "avatar" features — show user avatars where appropriate, provide an option to upload their own avatar, etc. | +| Make the `avatar` field non-nullable | | + +The database migration script updates existing user records by populating all +empty `avatar` values. After that, it makes the `avatar` field non-nullable. +Even if new registrations happen during the deployment, there will be no blank +values in this field since the app version that we deployed on Phase 1 already +generates avatars for all new users. Therefore, we can safely enforce the +"non-null" constraint and deploy all the remaining avatar features. + +## Example 2: downtime caused by a column removal + +Let's say that the "User avatars" feature we described in the previous example +didn't meet our expectations. It wasn't popular enough, so we decided to roll +it back. There will be no more user avatars, so we want to remove all +application functionality related to it and also remove the `avatar` column +from the DB: + +[![Removing a table column](removing-a-table-column.png)](removing-a-table-column.png) + +As with the previous example, if we just naively push everything to production, +including the DB migration script, it will cause downtime. + +**The application will be severely broken during the deployment.** As we +discussed above, the DB migration script will run first. Immediately after its +execution, there will be a time when the previous application version is still +running in production, but the `avatar` column no longer exists, so all +functionality related to it will be broken. How could we avoid this? + +## Solution {#solution-2} + +Use the same technique as with the previous example — split the deployment into +two phases: + +### Phase 1 {#solution-2-phase-1} + +| DB migration script | New app features | +|:-----------------------------------:|:----------------------------------------------------------------------------------------------------------------:| +| Make the `avatar` column nullable | Remove all of the functionality related to avatars. Remove all mentions of the `avatar` column from the app code | + +Making the column nullable doesn't break the older application version that is +still running in production and relies on the `avatar` column. At the same time, +it allows us to deploy a new application version that won't use this column in +any way. + +### Phase 2 {#solution-2-phase-2} + +| DB migration script | New app features | +|:------------------------:|:----------------:| +| Drop the `avatar` column | - | + +After Phase 1 is deployed, there are no more mentions of the `avatar` column +anywhere in the application code, so we can safely drop it. + +## Example 3: renaming a column or changing its data type + +Let's say we'd like to upgrade the avatars feature that we described in +[example 1](#example-1-downtime-caused-by-a-new-column). Instead of storing +file names, we'd like to store full avatar URLs so that we can support avatars +hosted on different domains. Full URLs are noticeably longer, so we need to +extend the maximum length of the `avatar` column. Also, we need to convert +existing data to the new format by transforming file names into full URLs. +Lastly, it is a good idea to rename the column from `avatar` to `avatar_url` +to better reflect its new purpose: + +[![Replacing a table column](replacing-a-table-column.png)](replacing-a-table-column.png) + +In this case, the data migration script includes: + +1. Changing the column data type, `varchar(100) -> varchar(2000)`; +2. Converting existing data from the old format (file names) to the new one — full URLs; +3. Renaming the column, `avatar -> avatar_url`. + +And in the application code, we need to: + +1. Save the data in the new format; +2. Read the data in the new format and process it accordingly. + +If we simply push such a change to production, it will cause downtime. + +**The application will be severely broken during the deployment.** As we +discussed above, the DB migration script will run first. During its execution +and for some time after its execution the previous application version will +still run in production. The first part of the script only extends the maximum +length of the stored data. Such an operation alone wouldn't cause any downtime. +However, the data transformation applied in the next step will cause incorrect +avatar handling since the previous application version still relies on the old +format. And the last step, which renames the column, will cause application +crashes, including broken user registrations. The previous application version +won't be able to read or write the data because the column name changed. The +application will remain broken until its new version is fully deployed. How can +we avoid this? + +## Solution {#solution-3} + +Use the same technique as with the previous examples — split the migration into +phases. This case is more complicated — we need four phases: + +### Phase 1 {#solution-3-phase-1} + +| DB migration script | New app features | +|:----------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:| +| Add the new `avatar_url` column, nullable; | Start writing data to both the old `avatar` column and the new `avatar_url` column in their corresponding formats; | +| Don't change the existing `avatar` column yet. | Don't change the read logic yet — still read from the old avatar column. | + +First, the DB migration script only adds a new nullable field, so no downtime. +The application starts writing data to both fields, preparing for the next +phase. + +### Phase 2 {#solution-3-phase-2} + +| DB migration script | New app features | +|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------:| +| Populate all empty values in the `avatar_url` column with values from the `avatar` column, while converting the data into the new format (file names to full URLs); | Switch the reading logic to the new avatar_url column; | +| Make the `avatar_url` column non-nullable; | Continue writing data to both `avatar` and `avatar_url` columns for now. | + +The DB migration script populates the data in the new column by converting file +names stored in the old column to full URLs stored in the new column. Then, it +enforces the non-null constraint on the new field. It shouldn't cause any +problems since the app was already populating `avatar_url` for all new records. +The application version deployed in this phase switches to reading the data +from the new `avatar_url` field. It still writes the data to both old and new +fields, to ensure backward compatibility with the app version deployed on +Phase 1. + +### Phase 3 {#solution-3-phase-3} + +| DB migration script | New app features | +|:----------------------------------:|:-------------------------------------------------------------------------------------:| +| Make the `avatar` column nullable | Stop writing data for the `avatar` column and remove all mentions of it from the code | + +The DB migration script makes the avatar field nullable, so that the +application can stop writing data for it. + +### Phase 4 {#solution-3-phase-4} + +| DB migration script | New app features | +|:---------------------------------------------------:|:----------------:| +| Drop the old `avatar` column from the `Users` table | - | + +After Phase 3 finishes deploying, we can remove the old column from the DB. No +application changes are required in this phase since the application was +already upgraded in the previous phases. + +## Example 4: renaming a table + +Surprisingly, renaming a table is more straightforward than renaming a column. +Imagine we'd like to rename the `Posts` table to more generic `Content`: + +[![Renaming a table](renaming-a-table.png)](renaming-a-table.png) + +If we don't take any precautions, such a rename would cause downtime during the +deployment. The previous app version, which still runs in production, will try +to access the table using its old name, resulting in an error. Let's see how we +can avoid this. + +## Solution {#solution-4} + +In this case, we need two deployment phases: + +### Phase 1 {#solution-4-phase-1} + +| DB migration script | New app features | +|:-----------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:| +| Rename the `Posts` table to `Content` | Update all SQL queries to use the new table name — `Content` instead of `Posts` | +| In the same transaction, create an updatable view with the previous table name: `CREATE VIEW posts AS SELECT * FROM content` | | + +The only extra step we need to make in Phase 1 is adding an updateable view with the old table name so that the +previous app version can successfully read and write it. + +### Phase 2 {#solution-4-phase-2} + +| DB migration script | New app features | +|:--------------------------------------------------------------:|:----------------:| +| Remove the view that we created in Phase 1: `DROP VIEW posts` | - | + +And the second phase is simply a cleanup — removing the view we no longer need. + +> Note for MySQL users: As of version 8.0, MySQL still doesn't support +> transactions for DDL operations. This means there could be a very short blip +> between renaming a table and creating a view during which queries to this +> table will fail. If this is unacceptable for your production environment, +> you may have to use a four-phase process similar to +> [renaming a column](#example-3-renaming-a-column-or-changing-its-data-type), +> which we described above. + +## A generic approach to maintaining backward DB compatibility + +As you can see, all three solutions above use the same technique — split the +deployment of a new feature into two or more phases to avoid any downtime +during deployment. Of course, these three examples don't cover all possible DB +migration cases, but they should help you understand the main idea. If you get +the idea and know how your deployment script works, you can develop solutions +for other cases yourself. + +[![Deployment process with the DB upgrade](deployment-process-with-DB-upgrade.svg)](deployment-process-with-DB-upgrade.svg) + +Quick recap: + +- During the deployment, the data migration script runs first; +- After that, there will be a brief period when older application instances are + running against a newer, upgraded version of the DB. This is a potentially + risky moment when downtime caused by broken backward compatibility might + happen; +- You can avoid this downtime by splitting your deployment into multiple phases + if necessary. Split it in such a way that the previous application version, + which is still running in production, is always compatible with the newer + database version that you're going to deploy; +- The examples above ([1](#example-1-downtime-caused-by-a-new-column), + [2](#example-2-downtime-caused-by-a-column-removal), + [3](#example-3-renaming-a-column-or-changing-its-data-type), + [4](#example-4-renaming-a-table)) illustrate how exactly you can plan your + deployment phases to avoid downtime caused by broken backward compatibility. + +## Heavy DB operations + +Another common reason for downtime during the DB upgrade is that some +modifications performed by the database migration script can cause a heavy load +on the database or lead to prolonged locks on some tables, causing application +slowness or downtime. + +As a rule of thumb, problems could emerge when modifying tables that store +a lot of data. The creation of new tables is fast, deletion is also fast, and +modifications of small tables usually don't cause any issues. But if you're +going to modify a large table, e.g., add or remove columns or change their +data type, create or modify indexes or constraints, it could be slow, sometimes +painfully slow. What could we do? + +- **Tip #1: Use a modern DB engine.** Databases are constantly evolving. For + example, one of the most requested features in the MySQL community was the + ability to do fast DDL operations that won't require a full table rewrite. + [MySQL v8.0 introduced noticeable improvements](https://dev.mysql.com/blog-archive/mysql-8-0-innodb-now-supports-instant-add-column/), + including instant adding of new columns if certain conditions are met. + Another example — in Postgres versions 10 or earlier, adding new columns with + a default value caused a full table rewrite, + [which was fixed in Postgres v11](https://www.2ndquadrant.com/en/blog/add-new-table-column-default-value-postgresql-11/). + It doesn't mean that the DDL performance is already a solved problem of + course, but upgrading to a newer DB server version could potentially make + your life easier. +- **Tip #2: When modifying a large table, check what happens under the hood.** + In many cases, you can reduce the risk of downtime by using a slightly + different set of operations that will be easier for the database server to + process. Here're some useful links: + - [MySQL — Online DDL Operations](MySQL — Online DDL Operations) + - Postgres — check the + [django-pg-zero-downtime-migrations](https://github.com/tbicr/django-pg-zero-downtime-migrations#how-it-works) + package that provides a detailed explanation of how locks are working in + Postgres and which operations can be considered safe. +- **Tip #3: Make upgrades when the service has the least amount of traffic.** + If an upgrade touches a large table, consider doing it during a period of low + activity. It could be beneficial in two ways. First, the DB server will be + less loaded and therefore could potentially complete the upgrade faster. + Second, even despite careful preparation, such upgrades can be risky. It + could be hard to fully test how the upgrade will work under the production + load. Therefore, it makes sense to reduce the blast radius if downtime + happens. During periods of low activity, the impact will be lower due to + fewer users being online. +- **Tip #4: Consider slow-running migrations.** Some tables can be so large + that the traditional migration way is simply not a viable option for them. + In such cases, you can consider embedding the data migration code right into + your application, or use a special utility like GitHub's online schema + migration for MySQL. A slow-running migration can work in production for + days or even weeks. It gradually converts the data by small chunks, so you + can carefully balance the load on the database while making sure that it + doesn't cause slowness or downtime. + +## Conclusion + +While zero-downtime database migration requires some effort, it's not that +complex. The two main reasons for downtime are: + +1. Failure to maintain backward compatibility; +2. Heavy DB operations. + +To solve the backward compatibility problem, you may need to deploy a new +feature in multiple phases instead of pushing everything into production at +once. This article covers the most common scenarios +([1](#example-1-downtime-caused-by-a-new-column), +[2](#example-2-downtime-caused-by-a-column-removal), +[3](#example-3-renaming-a-column-or-changing-its-data-type), +[4](#example-4-renaming-a-table)) in detail and provides generic guidelines on +how to avoid downtime in other cases. + +The [heavy DB operations](#heavy-db-operations) section above briefly covers +the second problem and provides some links for further reading. + +I hope this article may help you avoid some downtime in your project. Less +downtime enables more frequent deployments, and therefore makes development +faster. 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