When you use a relational database, you need a way to track and organize your database schema evolutions. Typically there are several situation where you need a more sophisticated way to track your database schema changes:

  • When you work within a team of developers, each person needs to know about any schema change.
  • When you deploy on a production server, you need to have a robust way to upgrade your database schema.
  • If you work on several machines, you need to keep all database schemas synchronized.

If you work with JPA, Hibernate can handle database evolutions for you automatically. Evolutions are useful if you don’t use JPA or if you prefer to manually take care of your database schema for finer tuning.

Evolutions scripts

Play tracks your database evolutions using several evolutions script. These scripts are written in plain old SQL and should be located in the db/evolutions directory of your application.

The first script is named 1.sql, the second script 2.sql, and so on…

Each script contains two parts:

  • The Ups part the describe the required transformations.
  • The Downs part that describe how to revert them.

For example, take a look at this first evolution script that bootstrap a basic application:

# Users schema

# --- !Ups

CREATE TABLE User (
id bigint(20) NOT NULL AUTO_INCREMENT,
email varchar(255) NOT NULL,
password varchar(255) NOT NULL,
fullname varchar(255) NOT NULL,
isAdmin boolean NOT NULL,
PRIMARY KEY (id)
); # --- !Downs DROP TABLE User;

As you see you have to delimitate the both Ups and Downs section by using comments in your SQL script.

When evolutions are activated, Play will check your database schema state before each request in DEV mode, or before starting the application in PROD mode. In DEV mode, if your database schema is not up to date, an error page will suggest that you to synchronize your database schema by running the appropriate SQL script.

If you agree with the SQL script, you can apply it directly by clicking on the ‘Apply evolutions’ button.

If you use an in-memory database (db=mem), Play will automatically run all evolutions scripts if your database is empty.

Synchronizing concurrent changes

Now let’s imagine that we have two developers working on this project. Developer A will work on a feature that require a new database table. So it will create the following 2.sql evolution script:

# Add Post

# --- !Ups
CREATE TABLE Post (
id bigint(20) NOT NULL AUTO_INCREMENT,
title varchar(255) NOT NULL,
content text NOT NULL,
postedAt date NOT NULL,
author_id bigint(20) NOT NULL,
FOREIGN KEY (author_id) REFERENCES User(id),
PRIMARY KEY (id)
); # --- !Downs
DROP TABLE Post;

Play will apply this evolution script to Developer A’s database.

On the other hand, developer B will work on a feature that require to alter the User table. So it will also create the following 2.sql evolution script:

# Update User

# --- !Ups
ALTER TABLE User ADD age INT; # --- !Downs
ALTER TABLE User DROP age;

Developer B finishes his feature and commit (let’s say they are using Git). Now developer A has to merge the work of his colleague before continuing, so it run git pull, and the merge has a conflict, like:

Auto-merging db/evolutions/2.sql
CONFLICT (add/add): Merge conflict in db/evolutions/2.sql
Automatic merge failed; fix conflicts and then commit the result.

Each developer has created a 2.sql evolution script. So developer A needs to merge the content of this file:

<<<<<<< HEAD
# Add Post # --- !Ups
CREATE TABLE Post (
id bigint(20) NOT NULL AUTO_INCREMENT,
title varchar(255) NOT NULL,
content text NOT NULL,
postedAt date NOT NULL,
author_id bigint(20) NOT NULL,
FOREIGN KEY (author_id) REFERENCES User(id),
PRIMARY KEY (id)
); # --- !Downs
DROP TABLE Post;
=======
# Update User # --- !Ups
ALTER TABLE User ADD age INT; # --- !Downs
ALTER TABLE User DROP age;
>>>>>>> devB

The merge is really easy to do:

# Add Post and update User

# --- !Ups
ALTER TABLE User ADD age INT; CREATE TABLE Post (
id bigint(20) NOT NULL AUTO_INCREMENT,
title varchar(255) NOT NULL,
content text NOT NULL,
postedAt date NOT NULL,
author_id bigint(20) NOT NULL,
FOREIGN KEY (author_id) REFERENCES User(id),
PRIMARY KEY (id)
); # --- !Downs
ALTER TABLE User DROP age; DROP TABLE Post;

This evolution script represents the new revision 2 of the database, that is different of the previous revision 2 that developer A has already applied.

So Play will detect it and ask developer A to synchronize his database by first reverting the old revision 2 already applied, and by applying the new revision 2 script:

Inconsistent states

Sometimes you will make a mistake in your evolution scripts, and they will fail. In this case, Play will mark your database schema as being in an inconsistent state and will ask you to manually resolve the problem before continuing.

For example, the Ups script of this evolution has an error:

# Add another column to User

# --- !Ups
ALTER TABLE Userxxx ADD company varchar(255); # --- !Downs
ALTER TABLE User DROP company;

So trying to apply this evolution will fail, and Play will mark your database schema as inconsistent:

Now before continuing you have to fix this inconsistency. So you run the fixed SQL command:

ALTER TABLE User ADD company varchar(255);

… and then mark this problem as manually resolved by clicking on the button.

But because you evolution script has error, you probably want to fix it. So you modify the 3.sql script:

# Add another column to User

# --- !Ups
ALTER TABLE User ADD company varchar(255); # --- !Downs
ALTER TABLE User DROP company;

Play detects this new evolution that replaces the previous 3 one, and will run the following script:

Now everything is fixed, and you can continue to work.

In developement mode however it is often simpler to simply trash your developement database and reapply all evolutions from the beginning.

Evolutions commands

The evolutions run interactively in DEV mode. However in PROD mode you will have to use theevolutions command to fix your database schema before running your application.

If you try to run a application in production mode on a database that is not up to date, the application will not start.

~        _            _
~ _ __ | | __ _ _ _| |
~ | '_ \| |/ _' | || |_|
~ | __/|_|\____|\__ (_)
~ |_| |__/
~
~ play! master-localbuild, http://www.playframework.org
~ framework ID is prod
~
~ Ctrl+C to stop
~
13:33:22 INFO ~ Starting ~/test
13:33:22 INFO ~ Precompiling ...
13:33:24 INFO ~ Connected to jdbc:mysql://localhost
13:33:24 WARN ~
13:33:24 WARN ~ Your database is not up to date.
13:33:24 WARN ~ Use `play evolutions` command to manage database evolutions.
13:33:24 ERROR ~ @662c6n234
Can't start in PROD mode with errors Your database needs evolution!
An SQL script will be run on your database. play.db.Evolutions$InvalidDatabaseRevision
at play.db.Evolutions.checkEvolutionsState(Evolutions.java:323)
at play.db.Evolutions.onApplicationStart(Evolutions.java:197)
at play.Play.start(Play.java:452)
at play.Play.init(Play.java:298)
at play.server.Server.main(Server.java:141)
Exception in thread "main" play.db.Evolutions$InvalidDatabaseRevision
at play.db.Evolutions.checkEvolutionsState(Evolutions.java:323)
at play.db.Evolutions.onApplicationStart(Evolutions.java:197)
at play.Play.start(Play.java:452)
at play.Play.init(Play.java:298)
at play.server.Server.main(Server.java:141)

The error message ask you to run the play evolutions command:

$ play evolutions
~ _ _
~ _ __ | | __ _ _ _| |
~ | '_ \| |/ _' | || |_|
~ | __/|_|\____|\__ (_)
~ |_| |__/
~
~ play! master-localbuild, http://www.playframework.org
~ framework ID is gbo
~
~ Connected to jdbc:mysql://localhost
~ Application revision is 3 [15ed3f5] and Database revision is 0 [da39a3e]
~
~ Your database needs evolutions! # ---------------------------------------------------------------------------- # --- Rev:1,Ups - 6b21167 CREATE TABLE User (
id bigint(20) NOT NULL AUTO_INCREMENT,
email varchar(255) NOT NULL,
password varchar(255) NOT NULL,
fullname varchar(255) NOT NULL,
isAdmin boolean NOT NULL,
PRIMARY KEY (id)
); # --- Rev:2,Ups - 9cf7e12 ALTER TABLE User ADD age INT;
CREATE TABLE Post (
id bigint(20) NOT NULL AUTO_INCREMENT,
title varchar(255) NOT NULL,
content text NOT NULL,
postedAt date NOT NULL,
author_id bigint(20) NOT NULL,
FOREIGN KEY (author_id) REFERENCES User(id),
PRIMARY KEY (id)
); # --- Rev:3,Ups - 15ed3f5 ALTER TABLE User ADD company varchar(255); # ---------------------------------------------------------------------------- ~ Run `play evolutions:apply` to automatically apply this script to the db
~ or apply it yourself and mark it done using `play evolutions:markApplied`
~

If you want Play to automatically run this evolution for you, then run:

$ play evolutions:apply

If you prefer running this script manually on your production database, you need to tell Play that you database is up-to-date by running:

$ play evolutions:markApplied

If there are any errors while automatically running the evolutions scripts, as in DEV mode, you need to manually resolve them, and mark your database schema a fixed by running:

$ play evolutions:resolve

Continuing the discussion

Learn how to configure Logging.

Managing database evolutions的更多相关文章

  1. Database SQL script automation management tools investigation

    Recently researched about database SQL scripts auto management tools, recorded the results here. Res ...

  2. 1Z0-053 争议题目解析

    1Z0-053 争议题目解析 Summary 题目NO. 题目解析链接地址 题库答案 参考答案 考查知识点  24 http://www.cnblogs.com/jyzhao/p/5319220.ht ...

  3. Oracle OCP 1Z0-053 Exam Topics

    根据OU官方发布的考试大纲,OCP 1Z0-053考点如下: 1. Database Architecture and ASM Describe Automatic Storage Managemen ...

  4. [转]Design Pattern Interview Questions - Part 4

    Bridge Pattern, Composite Pattern, Decorator Pattern, Facade Pattern, COR Pattern, Proxy Pattern, te ...

  5. 使用DBMS_STATS来收集统计信息【转】

    overview Oracle's cost-based optimizer (COB) uses statistics to calculate the selectivity (the fract ...

  6. Oracle_OCP课程实验学习

    Linux启动oracl.查看lsnrctl状态,然后启动监听start.sqlplus / as sysdba 启动数据库.conn sys/jxsrpv as sysdba .startup Ad ...

  7. android-SQLite 和 Content

    SQLite 游标(Cursor)相当于指向底层数据中结果集的指针,而不是提取和返回结果值的副本,是在结果集中对位置(行)进行控制的管理方式. moveToFirst:把游标移动到查询结果的第一行 m ...

  8. OCA读书笔记(7) - 管理数据库存储结构

    7.Managing Database Storage Structures 逻辑结构 数据库的存储结构有物理结构和逻辑结构组成的 物理结构:物理上,oracle是由一些操作系统文件组成的 SQL&g ...

  9. Oracle 11g OCM 考试大纲

    考试大纲共分9部分.   一.Server Configuration 服务器配置 1  Create the database 创建数据库 2  Determine and set sizing p ...

随机推荐

  1. c#设计模式-组合模式

    在软件开发过程中,我们经常会遇到处理简单对象和复合对象的情况,例如对操作系统中目录的处理就是这样的一个例子,因为目录可以包括单独的文件,也可以包括文件夹,文件夹又是由文件组成的,由于简单对象和复合对象 ...

  2. KnockoutJS 3.X API 第七章 其他技术(5) 使用其他事件处理程序

    在大多数情况下,数据绑定属性提供了一种干净和简洁的方式来绑定到视图模型. 然而,事件处理是一个常常会导致详细数据绑定属性的领域,因为匿名函数通常是传递参数的推荐技术. 例如: <a href=& ...

  3. sql复习第五次

    1.在数据库范围内,关系的每一个属性值是不可分解的 关系中不允许出现重复元组 由于关系是一个集合,因此不考虑元组的顺序 2.笛卡儿积是两个关系的所有元组组合而成的,而等值联接是由笛卡儿积和选择运算组合 ...

  4. Enterprise Solution 虚拟测试环境

    在不联网的情况下,一台物理电脑安装数据库服务,VMware创建多个虚拟机,虚拟机中多个客户端并发连接到物理主机.可共用同一个物理主机的数据库,也可以测试多用户并发等问题. 1  安装微软虚拟网卡.在控 ...

  5. 【原创】开源Math.NET基础数学类库使用(06)直接求解线性方程组

                   本博客所有文章分类的总目录:[总目录]本博客博文总目录-实时更新  开源Math.NET基础数学类库使用总目录:[目录]开源Math.NET基础数学类库使用总目录 前言 ...

  6. Web API接口之Geolocation

    0.关于Geolocation Geolocation,地理位置API.用于获取用户的位置信息.它不算是现有的HTML5标准的“直系”成员,但是是W3C的一个标准.它几乎就是一个真正的JavaScri ...

  7. Mac OSX网络诊断命令

    作者:Vamei 出处:http://www.cnblogs.com/vamei 欢迎转载,也请保留这段声明.谢谢! 下面是一些Mac OSX下常用的网络诊断命令.它们能帮助我们发现网络问题.文中提到 ...

  8. iOS开发之地图与定位

    无论是QQ还是微信的移动客户端都少不了定位功能,之前在微信demo中没有添加定位功能,今天就写个定位的小demo来了解一下定位和地图的东西.地图和定位看上去是挺高大上一东西,其实用法比TableVie ...

  9. Android随笔之——PackageManager详解

    参考:http://www.cnblogs.com/xingfuzzhd/p/3374504.html 今天要讲的是PackageManager.Android系统为我们提供了很多服务管理的类,包括A ...

  10. [OpenCV] Samples 13: opencv_version

    cv::CommandLineParser的使用. I suppose CommandLineParser::has("something") should be true whe ...