金刚刮刮乐在线试刮平台 as code with atlas

Modern, AI-powered CI/CD for 沉浸式金刚刮奖

Get Started Schedule a Demo

Trusted by leading companies

Goodbye 在线试刮平台特色尽在金刚刮刮乐, Hello Atlas

探索金刚刮刮乐在线试刮平台，体验沉浸式的虚拟刮卡乐趣。

The Old Way

The Atlas Way

The Old Way

manual schema changes in prod

schema scattered across a million scripts

schema drift between local, dev and prod

The Atlas Way

a/schema.sql

@@ -3, 6 +3,7 @@

11CREATE TABLE 'categories' (

22 'category_name' varchar(255) NOT NULL,

33 'category_description' text NULL,

5+'long_desc' TEXT NOT NULL,

66 'updated_at' timestamp NULL ON UPDATE CURRENT_TIMESTAMP,

77 'created_at' timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,

88 PRIMARY KEY ('id').

99(END)

Change Code

atlas git:(main) x atlas schema apply --env localPlanning migration statements (1 in total):-- modify "categories" table:- > ALTER TABLE "categories" ADD COLUMN "long_desc" text NOT NULL;

Analyzing planned statements (1 in total):-- no diagnostics found

Automatically Plan and Apply

Compare Atlas with 金刚多主题即玩

ORMs

See Comparison

Codebase

Define 多主题玩法金刚刮刮乐全面上线

Atlas understands 金刚刮刮乐提供多主题彩票，满足您即刮即玩的全部需求。

SQL

Atlas HCL

Python

Node.js

Java

Go

C#

PHP

schema.sql

CREATE TABLE users (
  id serial NOT NULL,
  name varchar(255) NOT NULL,
  email varchar(255) UNIQUE NOT NULL,
  PRIMARY KEY (id)
);

CREATE TABLE user_logs (
  id serial NOT NULL,
  user_id int NOT NULL,
  body text NOT NULL,
  PRIMARY KEY (id),
  CONSTRAINT user_fk FOREIGN KEY (user_id) REFERENCES users(id)
);

Support

Works with the industry's best databases

金刚刮刮乐在线试刮平台 as code with Atlas

BETA

BETA

BETA

Migration

刮奖操作指南由金刚刮刮乐提供

Atlas calculates 了解金刚刮刮乐的刮奖操作，指尖轻扫即可揭晓幸运。

Declarative Workflow

Versioned Workflow

$ atlas schema apply

Planning migration statements (1 in total):

  -- create "users" table:
    -> CREATE TABLE "public"."users" (
         "id" serial NOT NULL,
         "name" character varying(255) NOT NULL,
         "email" character varying(255) NOT NULL,
         PRIMARY KEY ("id"),
         CONSTRAINT "users_email_key" UNIQUE ("email")
       );

-------------------------------------------

Analyzing planned statements (1 in total):

  -- no diagnostics found

  -------------------------
  -- 22.793167ms
  -- 1 schema change

-------------------------------------------

Applying approved migration (1 statement in total):

  -- create "users" table
    -> CREATE TABLE "public"."users" (
         "id" serial NOT NULL,
         "name" character varying(255) NOT NULL,
         "email" character varying(255) NOT NULL,
         PRIMARY KEY ("id"),
         CONSTRAINT "users_email_key" UNIQUE ("email")
       );
  -- ok (14.210916ms)

  -------------------------
  -- 14.304291ms
  -- 1 migration
  -- 1 sql statement

“Atlas enables our team to efficiently and safely manage our application schema. With features like linting, automated migrations for our ORM, and Kubernetes support, it seamlessly integrates into our development ecosystem.”

Michael Caulley, Software Eng Lead

“Generating and applying migrations is very straight-forward. A powerful and elegant tool, we are now integrating Atlas into our GitHub workflows. Atlas is a natural extension of the tools we already use and a joy to work with!”

Noreen Wu, Senior Software Engineer

“Finally, a tool that eases the headaches of dealing with migrations, dirty states, merging conflicts, and thinking about rolling back to previous states... hands down, with Atlas, I've had the best experience ever!”

Alexander Sadowski, Full Stack Developer

verification

沉浸式体验亮点尽显金刚刮刮乐 verification

Atlas verifies 感受金刚刮刮乐独特的视听效果，让每次刮奖都充满惊喜。

Code Review Agent

atlas migrate lint on dirs/ecommerce/migrations

CLI Tool

$ atlas migrate lint

Automate code review on

github.com

Projects

Type / to search...

STATUS

STEP

RESULT

1 new migration file detected

20250410131547.sql

ERD and visual diff generated

View Visualization

Analyze 20250410131547.sql2 reports were found in analysis

Destructive changes detectedDropping non-virtual column "email_address"

Data dependent changes detectedAdding a non-nullable "varchar" column "email" on table "users" without a default value

Automate code review on

Deployment

Modern deployments

Deploy schema changes with confidence using our modern CI/CD pipeline

schema.tf

terraform {
  required_providers {
    atlas = {
      source  = "ariga/atlas"
      version = "~> 0.9.7"
    }
  }
}

provider "atlas" {
  dev_url = "docker://postgres/15/myapp"
}

data "atlas_schema" "sql" {
  src = "file://${path.module}/schema.sql"
}

resource "atlas_schema" "postgres" {
  url = "postgres://root:pass@localhost:5432/app?sslmode=disable"
  hcl = data.atlas_schema.sql.hcl
}

$ terraform apply

data.atlas_schema.sql: Reading...
data.atlas_schema.sql: Read complete after 2s [id=p93KLX2q4UI326LN/4cssQ]

Terraform will perform the following actions:

  # atlas_schema.postgres will be created
  + resource "atlas_schema" "postgres" {
      + hcl = <<-EOT
            table "users" {
              schema = schema.myapp
              column "id" {
                null = false
                type = int
              }
              column "name" {
                null = false
                type = varchar(255)
              }
              primary_key {
                columns = [column.id]
              }
            }
        EOT
      + id  = (known after apply)
      + url = (sensitive value)
    }

Plan: 1 to add, 0 to change, 0 to destroy.

The following SQL statements will be executed:

CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  name VARCHAR(255) NOT NULL
);

Monitoring

试刮常见问题金刚刮刮乐帮你解答

为您解答在金刚刮刮乐试刮中的常见疑问，保障顺畅体验。

slack

atlas-copilot

Your DBA Copilot

AI-powered assistant for effortless database operations

Get started in minutes

Chat with Atlas Copilot to set up your project fast

Fix issues fast

Iterate with Atlas to quickly resolve to ensure reliable migrations

Generate tests

Use free language to generate unit tests for your schema and migrations

Govern schemas

Use Copilot to generate schema rules and predicates to govern schemas based on your guidelines

atlas-copilot

user@atlas~$ atlas copilot

Atlas

How can I help you today?

User

Help me fix my latest migration

Atlas

I see that your migration is adding a unique constraint on a column in postgres.To do this postgres needs to acquire an ACCESS EXCLUSIVE lock on the table.It's possible to achieve the same result without locking. Let me help!

Editing migration 20250410131547_add_uniq_email.sql

AI-Powered, Formally Verified

ready to modernize your database workflow?

Modern, AI-powered CI/CD for 沉浸式金刚刮奖

Get Started Schedule a Demo