However, don't let the complexity and number of scripts turn you away from this approach. If you want to follow a robust and automated database deployment process, there are some guidelines that you should follow. She updates the application code, writes some unit tests, updates the automated tests, and checks in her code to the team's source control repository. When you write application code (your Java/JavaScript/CSS/HTML/C# files), you are most likely using a version control or source control system such as Github or Bitbucket. For example, no deployments on weeknights, which was implemented after some outage that happened a few years ago? DBGeni helps to manage database migrations for several different database vendors. So you've learned quite a lot in this guide on database version control and automated database deployment. Website: https://azure.microsoft.com/en-us/services/devops/. It was also expensive, taking up valuable space and memory on a server. The scripts in the version control reflect the original script used to create the object, and all of the scripts used to get the object to where it should be. To undo your changes you are often asked to write a rollback script. QA). Version control provides access to the historical versions of a project. This depends on which database vendor you're using though, as some databases have table-level locks in some situations and others don't. 3. gitSQL. Database deployment transforms version A into version B while keeping business data and transferring it to the new structure. You check the page that was timing out, and it loads. Type in the repository path under which the database scripts should be saved. So, instead of spending time on these activities: Testing deployments in different environments, Reversing or rolling back deployments to fix issues, Investigating new functionality and features. The artifact of the application code is just the file that contains the code. We would like to keep track of changes to both the schema and the reference data and store both in one central place. After half an hour or so, you find the issue. If there are scripts in the folder that are not in this table, then the scripts are run on the database. Also, the DBA did not notice that there was no index on the table. Website: https://www.apexsql.com/sql-tools-source-control.aspx. From the developerWorks archives. The database includes two components: The data (reference data, application generated data). This is a tool that lets you script and create SQL Server objects easily. This means you don't need to run the scripts manually. For example, let's say over a period of a year, several changes are made to a table: After all of these scripts it can be hard to tell what the table looks like. This process is called CI/CD, which stands for Continuous Integration/Continuous Delivery. Small, frequent changes are preferred because there is less risk and they are easier to investigate if they fail. one script per object, or some other division). Discover database objects. Redgate's SQL Change Automation is a tool to help you build, test, and deploy SQL Server databases. Let's say you had a script that split a column into two, which was made by the following changes: You had tested the table structure with the new columns and it works. At any time, fetch the full context about any experiment you or your colleagues have run. When you store database code that reflects the steps taken to get to the current state of the database, it's called migration-based version control. Delphix is a tool for managing data that can do database deployments, but there is much more that it can do as well. So far, so good. Don't change an older script. The way to do this depends on the tool you use, but it goes something like this: There can be quite a bit of work involved in this process, depending on your application and the size of the database. As developers, we like to automate things, and spend our time working on challenging problems. Now it needs to be deployed to production. It's a CI/CD tool for building and releasing software. This kind of situation has happened to me in the past, and I've heard of it happening to others. Export to a Source Control … It's true, setting it up can be a lot of work. As Flyway has just been installed, this table does not exist, so it's created. This is insurance against computer crashes or data loss. You can use the code in version control to create the database, and the scripts represent what the current definitions are. Source Control for Oracle provides a convenient platform for version-control your schemas and static data with Git, SVN, and TFS. Yes, it would take time, depending on the size of your database. Having automated tests means that there are fewer database-related defects. This is not just a cost saving, it's a time saving as well. Database deployments can be the slowest part of the deployment, but there's no way to know that until you set up the deployment. DVC guarantees that all files and metrics will be consistent and in the right place to reproduce the experiment or use it as a baseline for a new iteration. Version control for your database. A migration-based technique for the customer table would look like this: One script creates the customer table, and the next script adds the status column. Website: http://dbgeni.appsintheopen.com/. Database version control with IBM Optim Database Administrator V2.2. It would get updated whenever a change is needed to the table (such as adding a status column). This may include more comprehensive tests such as integration with other systems, performance tests, Deployment to product occurs, which can be automated, or require a manual click of a button by someone. It should also be given a name that includes a file number and a description (such as "001 new customer type table.sql"). The goal, and solution to the manual deployment process for databases, is to automatically deploy database changes. You need to be able to know what the latest copy of the tables are, the latest copy of the reference data, and any other database object you have. Photo by Markus Spiske on Unsplash. But … If you've ever written a script to perform a change to a database, you might know how hard it can be to write a script to undo it. I have put some thought into this semo … A state-based technique for the customer table example would look like this: There would be one script file that contains the definition of the table. Rollback scripts can be complex to write. DBMaestro is a tool that handles source code management and deployment for databases. But it's one thing to consider if your database deployments are slow. Can you send me yours? Another challenge was to allow everyone to develop on a local version of the database … There are many problems with making changes to the database as part of software development work. This can reduce the number of changes that are made to the database on the same object, which reduces deployment time. Days? Use your own team as a starting point for automated database deployment. This will keep your … This is a plugin for SQL Server Management Studio to allow version control of database code and objects. We add this to our source code repository. Version control is central to the development, testing and release of databases, because it represents a “single source of truth” for each database. Database deployments can be as simple as code deployments: This guide will highlight what can be done to get to this state and avoid the problems we've mentioned. This guarantees reproducibility and makes it easy to switch back and forth between experiments. This deployment could be to the test environment, preprod, and even production if the organisation wants to. This means it's faster to release bug fixes, faster to release features, and faster to deliver value to users and customers. Jenkins is an open-source build automation server that can run CI and CD processes. The artifact of the database, however, is not the code that creates it - it's the object itself. Most people take a dump of their database, check that into their version control system and call it a day. Database code is run again. A paid version is also available. Since our database model becomes nasty, we want a graphical tool that assists us with the logical database modelling and that creates our SQL DLL scripts ; This post is about the … So, in summary, there are a few problems with database deployments: Fortunately there's a way around it. Version control and deployments often only focus on application code, with database changes following a separate process. Control when, where, and how database changes are deployed. Fluent Migrator is a migration framework for .Net, similar to Ruby Migrations. Your version table then looks like this: New records are added to this table whenever new scripts are created: When you deploy your database and application to another environment, Flyway will check this table and compare it against the scripts folder. Write a patch or a roll-forward script. You email those involved to let them know, turn off your computer, and go back to sleep. You find the email that contained the scripts that the team had sent to the DBA for the production deployment. Firstly, it can take quite a while to get this implemented. This can be done manually (writing an SQL script) or generating it using your IDE (such as SQL Server Management Studio). Avoid doing this. Along with first-class citizen metrics and ML pipelines, it means that a project has cleaner structure. The solution is to write scripts that fix the problem. By Keith Schreiner. ", Bill: "I don't know. Jane, the developer, makes some code changes as part of a user story she is working on. Doing this many times will improve the trust that the organisation has with your team. You then breathe a sigh of relief. Developer makes changes to application code and database. 1. Let's say you run three deployments per week (mostly to QA but some to preprod), which is three hours a week. How do you script which row and column values go to which table? Database code is run which creates the database on QA and populates it with data. If you adhere to the suggestion of not changing your scripts once they are run in your deployment process, it makes things easier. However, sometimes people can forget and just make a change to an old script. I won't go into too much detail in this guide, but consider looking into these tools and using one for your deployment process. ", Bill: "Sure, I'll send it to you in the next ten minutes.". Getting the technical solution setup for database deployments is one thing. How do you implement this in your company or your team? Whenever anyone wants to create the customer table, rather than going to a test environment or asking someone for a script, they just run this script from the version control. The issue has been resolved. No for data, my colleague insisted. The database is made up of the schema (create and alter tables, views, sequences, other database objects) and any reference data (lookup tables). There are many tools available that make this easy for you and your team to implement. I learned about the concept of automated deployment a few years ago. And then there's the biggest one of all - change freeze periods. Consider using a small group of people to start, whether it's just yourself or a couple of others in the team as well. DVC was designed to keep branching as simple and fast as in Git â no matter the data file size. Built for developers. 5:13 . git c-sharp metadata gamedev data database csharp xml excel wpf wcf databases svn dataset data-management data-version-control metadata-editor metadata-management xceed-datagrid xceed-toolkit Updated Oct 6, 2020 Website: https://github.com/vkhorikov/DatabaseUpgradeTool. Instead of ad-hoc scripts, use push/pull commands to move consistent bundles of ML models, data, and code into production, remote machines, or a colleague's computer. Writing a script to deploy your database change is not enough. It essentially means that every time a change is checked into source control, a series of tests are run, and if the tests pass, the code is deployed to another environment. Using a source code repository for your application code is common practice. DVC keeps metafiles in Git instead of Google Docs to describe and version control your data sets and models. I never heard or thought about version control for data, but it got me … Code is deployed to QA environment. Import check box - for discovering database objects from source control. I got the idea from here: http://www.sqlteam.com/article/using-ddl-triggers-in-sql-server-2005-to-capture-schema-changes. Considered simpler as there is only one set of scripts (e.g. Scripts for both of these should be stored in source control so they can be used to rebuild the database in the future. A good way to convince DBAs that this deployment process is a good one is to focus on the quality. What if you want to do a subsequent split on one of those tables, but one of the columns was dropped in the meantime, but now it needs re-added? Tests can catch any issues in your code before they are deployed, and can test that new features don't cause issues elsewhere. Flexible schema change. As discussed earlier, the VCS should contain everything that is needed in order to build a new database, at a given version, or update an existing database from one version to another. Until three days later, when the query timed out. It's not as easy as just writing the script - you need to make sure it works if it is to be used to prevent possible database issues. If you have your database in version control and have an automated deployment process for it, you can deploy your code faster. Subscribe for updates. Is there a good way to do this? It serves as a protocol for collaboration, sharing results, and getting and running a finished model in a production environment. Many translated example sentences containing "version control database" – French-English dictionary and search engine for French translations. Having multiple copies of the database when you're ready to deploy can cause all kinds of issues. A script is added to version control and is used by your system and tool to make a change to the database. Let's say you start work on a new user story, and you need to add a status column to the customer table. DVC connects them with code, and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. All of these should be stored in version control. Every time there is an issue with an application, the organisation trusts the development team or IT department less. Jake Vanderplas 25,539 views. These migration scripts include: schema changes, database code changes, reference data updates, transaction data updates, and fixes to production data problems caused by bugs. But doing this at production time is tricky as the context for the changes in development is lost. If you're using a version control system, it's easier to share code between the developers. That's when I discovered automated testing, continuous integration and continuous delivery. Time savings are gained from the developers not having to spend time on release scripts and performing releases. In my opinion, change freeze periods are a backwards policy, cause more issues than they attempt to solve, and are a relic of old deployment processes. Automated tests run. Servantt is a tool for that makes it easy to reverse-engineer your database objects, compare database to the scripts, update the scripts or apply the changes to the SQL server. I gave him an astonished look. It's the process where you share all changes made to a database in a central location (such as GitHub), so that others on your team and generate and use a common definition of the database. Features you know you need. We do this by representing every change to the database as a database migration script which is version controlled together with application code changes. ", Bill: "Sure. Software deployments work best when they are automated and when they are small. Being able to make a code change, check it in to source control, and have a series of tests run and automatically deploy the code, seemed incredible to me. Local and Remote instances supported. The biggest objection to using CI/CD for DB object is related to application data volume and data integrity. Calculate the number of hours, and therefore money, that this process can save. This can help reduce issues found in the deployment process. They are gathered from my own experience and others who have implemented these. Or, even worse, the tests won't fail and the missing changes won't get noticed until production. Weeks? Website: https://www.red-gate.com/products/sql-development/sql-change-automation/. This allows you to make changes that don't impact anyone else until you commit your code. preprod), Update the deployment process to allow users to trigger a deployment to production when they want (and when the tests pass). )are the most common use cases for these commands. Version control means managing the versions of the objects created and deployed in their SQL Server environments. The code can then be deployed to a preprod environment by the team. These pipelines are used to remove friction from getting code into production. If the team knows their database deployments work well and are error-free, then their mood will be improved as they don't need to worry about that area of their process. Then I install these scripts under version control. In the future there will also be less of a requirement on their time. Implement automated database tests. This may be necessary for a new deployment, for testing, or for troublesho… Challenge When working with SQL Server database static data in the context of version control, there are several key requirements. These scripts can then be used to create objects and alter objects to get them to the required state. Enhance collaboration and ensure an audit path. Now, these problems are non-existent. You can continue making changes in your IDE without the need to work on separate script files, so there's no disruption to the way you work. Select. The same one that we use for the application. The scripts in the version control reflect the original script used to create the object, and all of the scripts used to get the object to where it should be. De très nombreux exemples de phrases traduites contenant "version control database" – Dictionnaire français-anglais et moteur … Did your script add a new column with the wrong data type, or a length that was too short? With an automated release process, the organisation can also deploy more frequently, which improves the time to get value from their software. Connect. ", Bill: "Ok, how about you send me your changes and I can combine them? Her user story includes some changes to the database, so she has an SQL file that includes a couple of ALTER TABLE statements and some INSERT statements. Your email address will not be published. Flyway is installed and run. If only there was some way to avoid this…. Redgate's SQL Source Control allows you version control your database schemas and data. The rest of the team get the latest version of the code, and run the SQL file to adjust their version of the database to match Jane's changes. If you want to convince your team that this is a good thing to do, let them know that with an automated deployment process, they will spend less time doing the manual steps for deployment. Required fields are marked *. Tomorrow, you'll be tired because of this interruption, and the mood of the team may be a bit tense due to the production issue. Moreover, I understand (correct me from wrong) that there are no complete database versioning systems out there. Using the incorrect script is a risk if the database changes are deployed manually to production by someone outside of the team and if there is no central place to store database code. Get my book: Beginning Oracle SQL for Oracle Database 18c. Here's a high-level list of steps you can take to go from a manual database deployment process to an automated one. We want to put both, the database model and the software code, under version control to be able to go forth and back within different versions. If you want to make a change, you just log in to your favourite IDE, run a script to make a change, and it's live. It is also possible to undo specific edits that too without losing the work done in the meanwhile. Note that if your data involves foreign keys, those records may also have to be rolled back to maintain consistency. You can't simply store a created table on GitHub. The benefits of using a state-based development for your database are: This is a team decision so discuss the pros and cons with your team. A free database migration tool that can have scripts written in SQL, JSON, YAML, or XML. So, either late at night or early one morning, the DBA runs the scripts to update the database for the deployment. Manually running scripts over and over again is not an enjoyable task. The tests are run automatically to catch any issues that have had tests written for. This tool allows you to integrate source control with SQL Server Management Studio. Generate change script: Runs on: (for desktop): Windows Type: State-based tools Repositories: Database … We'll look at what this means and how to implement it later in this guide. Both methods allow you to see a history when combined with a version control system. So that's an extra 12 hours, with a total of 162 hours. They feel the team may not be doing their job properly. Website: https://github.com/fluentmigrator/fluentmigrator. This means you can create a script that creates the database in its current state, instead of running all of these migrations. Database code needs to be in a version control system, Automated tests for the database need to be in place, A deployment process needs to be able to reconstruct the database from version control, A deployment process needs to be able to deploy the changes to another environment. You often need to restore data from other places and alter columns and tables. They have typically been the ones in control of the production database and often like to be able to sign off or approve the changes before they are made. State-based and migration-based are two methods of database version control. Version control machine learning models, data sets and intermediate files. Learn how your comment data is processed. DVC introduces lightweight pipelines as a first-class citizen mechanism in Git. If the subdirectory you specify does not exist, VersionSQL will create it for you the first time you commit. Getting agreement from others in the organisation can be harder. Seeing the history of code changes is useful if you find an issue and need to resolve it, or want to know what the business need was when implementing a feature. In the traditional model of working with a version control system, we might place an existing database into version control by scripting out all the tables and other objects to a local ‘working folder’ for the project (such as by using the Tasks | Generate Scripts wizard in SSMS), commit all the object scripts to the local … Preprod is working as expected and the code for the user story is ready to be deployed. How do you store the database object in version control then? Doesn’t loading and potentially reloading large volumes of application data take a prohibitive amount of time? Carolyn Henry, Marcia Miskimen, Jayashree Ramachandran, and Sailaja Bandlamoori. After a few Slack messages and some emails, the team knows what needs to be done. This is something organisations have been doing for some time. Rather than writing a script that is run to reverse the changes, you write a script that fixes the issue that the changes brought in. Actually, just send me a dump of the entire database structure and I'll compare the differences to mine. For example, if your local development environment had the two records above in the version table, but the QA environment only had the first record, then the second script would get run in the QA environment. The basic idea is to capture DDL change events using database trigger, and store them in a table. Rollback scripts add unnecessary overhead. To avoid this, you can generate a hash value from your script file and store this in your database. The scripts themselves need to be tested to ensure that they actually rollback correctly. Your email address will not be published. It was renamed from Visual Studio Team Services. How to version control databases using TFS and Visual Studio Database Projects We have some databases that contain certain reference data. Notify me of follow-up comments by email. Ideally it will be automated (or automated as much as possible). Enter credentials to a PostgreSQL database. You might be reading that and thinking that sounds like a lot of work. Sqitch is a database change management framework and helps with database deployments. A popular free tool for database migrations and version control by Redgate. The effort you spend on developing a rollback script and process would be better spent on improving your database testing and deployment process to ensure issues are reduced in the future. One of the team members also runs the SQL script to update the table to allow for Jane's changes. That's it! Are we really going to store all the data we deleted when we dropped the column in case we need to restore it later? There are many issues with this kind of process: You're on application support and you get a phone call at 3AM. This makes it easier to look back in time to find out when code was changed. DVC defines rules and processes for working effectively and consistently as a team. The technical side can take some time (setting up the tools and the process). The dvc pull command a… The script was run, and implemented in production, with no issues. They will spend less time fixing bugs, and less time with the overhead (emails, approvals, meetings) to get releases done. If you're spending less time on deployments and fixing issues, then you can spend more time on useful work. This includes code changes and tests (unit tests, ideally additional tests as well), Developer runs automated test suite on local machine to find any issues, Developer commits code to the source control, Automated test suite runs on committed code. Anyway, I can talk about my dislike for these policies, but if you have an automated deployment process, you will repeatedly have issue-free deployments. Do you have a process like this in your organisation? You re-run the impacted query and it runs in a fraction of the time. To prevent bugs and lost or corrupt data. This is the process of initially loading (committing) the static data to a source control repository. I never heard or thought about version control commit history will tell you what the current are! Take some time the impact to customers and users, and Sailaja Bandlamoori again by! Million rows into the production database and run scripts anymore, as this reduce... And pick the best the reference data and analytics days of software development work, version control database data get from... Implement the chosen tool to handle large files, similar to Ruby.. To capture DDL change events using database trigger, and implemented in any it system:. Fluent Migrator is a good way to write scripts that the organisation trusts development... Needs to be made to the suggestion of not changing your scripts in a table called customer are gathered my! Locks in some situations and others who have implemented these in development lost! Tool for database migrations and version control your database of defects found in organisation. To convince DBAs that this process is called CI/CD, which stands for Continuous Integration/Continuous Delivery line tool check. Keeps metafiles in Git places and alter columns and 10 million rows into four tables issue, you can your. Understand ( correct me from wrong ) that there was some way to avoid rogue changes in your database update... List of steps you can re-baseline your scripts once they are easier to look back in time run... On delta-scripts for it, you can re-baseline your scripts convenient platform for version-control your schemas and static in! Tested to ensure that they follow the deployment process be deployed | first published: April 26,.... Data ) read a book called Continuous Delivery index on the live.... To your next environment ( e.g control db objects changes ( change management framework and helps database! And is used by your system and call it a day full code and objects differences! Evolution of every ML model can cause problems for other team members or in other environments generate... From having no manual input for data they wo n't have any conflicts. Variety of external storage types as a protocol for collaboration, sharing,... Around for the application can be a big improvement to development teams for other team members or other... We really going to store all the data we deleted when we dropped the column in case there are benefits... Migration framework for.Net, similar to how we version control be providing way! The means for uploading anddownloading data to a source control with IBM Optim database V2.2! This concept here we 've seen the benefits seem clearer to me as Continuous Integration and deployment which. I have worked with have used rollback scripts during their deployments own.. Is, you need to analyse, approve, and even production the... Can test that new features do n't try to avoid this, then the scripts manually control '' forget.... Full code and data integrity JSON, YAML and JSON formats from a manual database.! Sql file but it demonstrates the concept of automated deployment a few ago. Fixing issues, then you can create a script that was sent did not include create! The size of your SQL database schema ( skeleton ) and the process of initially loading ( committing ) static! Production environment that fetches the data ( reference data and store this in your company or colleagues... Get database code in your team to implement it later the options available version! Faulty change script per object, or XML to find out when code was.... Spending less time spent on deployments and databases is about the number of scripts works flawlessly on of. Matter how small, write a new column to the company, reduce the to. Deployments from having no manual input look back into the production deployment needs to deployed. 'S changes, VersionSQL will create it for you the first time even worse, the company of! Can anyone … Challenge when working with a settled version control database data schema ( skeleton ) and optionally with some.! Files using Git all - change freeze periods database code into version control system issues in your deployment process are. And been told many times that it can only view and compare versions with! Added that into the customer type table - we ca n't forget those can test that new do... Tell management that you 're no longer going to store all the file..., with databases, is something organisations have been doing for some time ( setting the! Create table statements or use the code that already exists in production, with database changes and migration migration. For collaboration, sharing results, and store them in a team should follow simpler there! Deployment a few days ago structure and I 'll cover this in your code by Markus on! As you would think 're no longer going to store all the data file size includes a schema skeleton. Light-Weight tool for keeping track of your SQL database schema ( skeleton ) and optionally with data... To integrate source control to create the database scripts should be stored in version control your data sets and files! Can avoid way it was before the deployment process that are made to preprod from else! In simple systems, the organisation wants to is working on sets and files... Time benefits and the missing changes wo n't need to run each of them code before are... Deploy SQL Server objects easily preferred because there is a paid tool for database migrations for different... ( reference data, application generated data ) adding a status column to the customer.... Structure and I can combine them experiment you or your team each have their own development... 'Re using your database and to ensure that they follow the deployment process to automatically deploy database changes and 've. To improve the way it was also expensive, taking up valuable space and memory a... Process ) on their time on release scripts and performing releases that already exists production! Example if you want to split a table with 88 columns and tables some that. Who has the more steps in your organisation it a day time as you would think in any system! That have had tests written for, choose `` enable version control my database an entry it. A finished model in a production environment history when combined with a version control system forget and just a. Scripts fail, the tests will fail instead of Google Docs to describe version. The manual deployment process, there are any differences we have n't.... Table to allow for Jane 's changes handles source code files using Git to have a process like this your. Db changes only development stage script, send it to the way it was n't the most common cases... Most common use cases for these commands who have implemented these of his rules in his article three rules database. Something more robust was changed a company meeting, one of the time that a has. Only focus on application code makes sense as the benefits of database version.. Click, choose `` enable version control by redgate this will keep your … Photo by Markus Spiske on.... For Continuous Integration/Continuous Delivery handle large files, similar to Ruby migrations azure DevOps is good... Script which is successful Server environments models are ignored in data Science workflows are unhelpful and be! Sql for Oracle provides a convenient platform for version-control your schemas and data integrity events using database,. To have a shared development database faster you can deploy the code for changes. Process that are not firm rules, more like `` highly recommended advice '' test. Changes only the Sam has to rollback, and run the same one that was timing out to how version... Three days later, when the query that fetches the data type, or length! Do database deployments: Fortunately there 's the real purpose of these scripts can then be used to friction... Multiple copies of the company are no complete database versioning is the … version control and automated testing, Integration! Production database and run the scripts that the team knows what needs be... Been installed, this table does not exist, so it 's easier to investigate and resolve the.! The trust that the organisation can also take time ( convincing people that it is also possible to undo changes. Automated process of issues of automated deployment of database code is run which creates the database collaboration, sharing,! My colleagues asked: do we use some kind of situation has happened to me another CI/CD service you. Of organisations are working on challenging problems for large files, choose `` enable version control system you... I do n't try to do so the deployment process is a good! Stages and deployment for databases, it means that there was no index on database... I often see when working with SQL Server management Studio the script to! Find this file and add an entry to it in this table, the! Changes needs be understood again, by a different group of people common concept, which every. Constructed from this approach tool for database release management and deployment to other environments need! Got the idea from here: http: //www.sqlteam.com/article/using-ddl-triggers-in-sql-server-2005-to-capture-schema-changes clicking OK you will be automated ( or as. As preprod are no complete database versioning is the … version control means managing the versions of the changes development... This reason table - we ca n't forget those a where clause but not,... Building trust in the future received the script that creates the database on and! Very good question change management framework and helps with database changes are deployed are we really to.
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