Record versioning

Record Versioning in Databunker Pro provides automatic version history tracking for user profiles and application data. Every time a record is created or updated, Databunker Pro automatically creates a new version, allowing you to track changes over time, audit data modifications, and restore previous states when needed.

Configuration

Record versioning is not enabled by default. To enable versioning, you need to configure it in your databunker.yaml configuration file:

versioning:
  enabled: true
  max_versions: 10
  max_version_retention_period: "1m"

After enabling versioning in the configuration file, restart your Databunker Pro instance for the changes to take effect.

What Problems Does Record Versioning Solve?

1. Change History & Data Integrity

✅ Complete history of all data changes over time
✅ Track what changed and when it changed
✅ Verify data integrity with cryptographic hashes
✅ Maintain immutable record of data evolution

2. Data Recovery & Rollback

✅ Restore previous versions of user data
✅ Recover from accidental data modifications
✅ Undo unwanted changes quickly
✅ Maintain data consistency across systems

3. Change Tracking & Analysis

✅ Understand how user data evolves over time
✅ Analyze patterns in data modifications
✅ Identify data quality issues
✅ Support forensic investigations

How Record Versioning Works

Databunker Pro automatically creates a new version every time you:

Create a new user record
Update a user profile
Create application data
Update application data

Each version includes:

Version number: Sequential integer starting from 1
Operation time: Unix timestamp of when the version was created
MD5 hash: Cryptographic hash for integrity verification
Full record data: Complete snapshot of the record at that point in time

Supported Record Types

Record versioning is available for:

Record Type	API Endpoints	Use Case
User Profiles	`UserListVersions`, `UserGet` (with version)	Track user profile changes, email updates, phone number changes
Application Data	`AppdataListVersions`, `AppdataGet` (with version)	Track application-specific data changes, configuration updates

User Profile Versioning

Listing User Versions

To see all versions of a user’s profile:

curl -X POST "https://your-databunker-instance/v2/UserListVersions" \
  -H "Content-Type: application/json" \
  -H "X-Bunker-Token: YOUR_ACCESS_TOKEN" \
  -d '{
    "mode": "token",
    "identity": "user-token-here"
  }'

Response:

{
  "status": "ok",
  "versions": [
    {
      "version": 1,
      "optime": 1699123456,
      "md5": "a1b2c3d4e5f6..."
    },
    {
      "version": 2,
      "optime": 1699123500,
      "md5": "b2c3d4e5f6a1..."
    },
    {
      "version": 3,
      "optime": 1699123600,
      "md5": "c3d4e5f6a1b2..."
    }
  ]
}

Retrieving a Specific User Version

To retrieve a specific version of a user’s profile:

curl -X POST "https://your-databunker-instance/v2/UserGet" \
  -H "Content-Type: application/json" \
  -H "X-Bunker-Token: YOUR_ACCESS_TOKEN" \
  -d '{
    "mode": "token",
    "identity": "user-token-here",
    "version": 1
  }'

Response:

{
  "status": "ok",
  "token": "user-token-here",
  "profile": {
    "login": "versionuser",
    "email": "[email protected]"
  },
  "version": 1
}

JavaScript/TypeScript Example

import DatabunkerproAPI from "databunkerpro-js";

const client = new DatabunkerproAPI(
  "https://your-databunker-instance.com",
  "your-token"
);

// Step 1: Create a user
const createResponse = await client.userCreate({
  profile: {
    login: "versionuser",
    email: "[email protected]"
  }
});
const userToken = createResponse.token;

// Step 2: Update the user profile
await client.userUpdate({
  mode: "token",
  identity: userToken,
  profile: {
    login: "versionuser",
    email: "[email protected]"
  }
});

// Step 3: Update again
await client.userUpdate({
  mode: "token",
  identity: userToken,
  profile: {
    login: "versionuser",
    email: "[email protected]"
  }
});

// Step 4: List all versions
const versionsResponse = await client.userListVersions({
  mode: "token",
  identity: userToken
});

console.log("User versions:", versionsResponse.versions);
// Output: [
//   { version: 1, optime: 1699123456, md5: "..." },
//   { version: 2, optime: 1699123500, md5: "..." },
//   { version: 3, optime: 1699123600, md5: "..." }
// ]

// Step 5: Retrieve a specific version
const version1 = await client.userGet({
  mode: "token",
  identity: userToken,
  version: 1
});

console.log("Version 1 email:", version1.profile.email);
// Output: "[email protected]"

const version2 = await client.userGet({
  mode: "token",
  identity: userToken,
  version: 2
});

console.log("Version 2 email:", version2.profile.email);
// Output: "[email protected]"

Python Example

from databunkerpro import DatabunkerproAPI

api = DatabunkerproAPI(
    base_url="https://your-databunker-instance",
    x_bunker_token="YOUR_ACCESS_TOKEN"
)

# Step 1: Create a user
create_response = api.user_create({
    "profile": {
        "login": "versionuser",
        "email": "[email protected]"
    }
})
user_token = create_response["token"]

# Step 2: Update the user profile
api.user_update({
    "mode": "token",
    "identity": user_token,
    "profile": {
        "login": "versionuser",
        "email": "[email protected]"
    }
})

# Step 3: Update again
api.user_update({
    "mode": "token",
    "identity": user_token,
    "profile": {
        "login": "versionuser",
        "email": "[email protected]"
    }
})

# Step 4: List all versions
versions_response = api.user_list_versions({
    "mode": "token",
    "identity": user_token
})

print("User versions:", versions_response["versions"])
# Output: [
#   {"version": 1, "optime": 1699123456, "md5": "..."},
#   {"version": 2, "optime": 1699123500, "md5": "..."},
#   {"version": 3, "optime": 1699123600, "md5": "..."}
# ]

# Step 5: Retrieve a specific version
version1 = api.user_get({
    "mode": "token",
    "identity": user_token,
    "version": 1
})

print("Version 1 email:", version1["profile"]["email"])
# Output: "[email protected]"

version2 = api.user_get({
    "mode": "token",
    "identity": user_token,
    "version": 2
})

print("Version 2 email:", version2["profile"]["email"])
# Output: "[email protected]"

Application Data Versioning

Application data versioning works similarly to user profile versioning, but tracks changes to application-specific data associated with users.

Listing Appdata Versions

curl -X POST "https://your-databunker-instance/v2/AppdataListVersions" \
  -H "Content-Type: application/json" \
  -H "X-Bunker-Token: YOUR_ACCESS_TOKEN" \
  -d '{
    "mode": "token",
    "identity": "user-token-here",
    "appname": "mytestapp"
  }'

Response:

{
  "status": "ok",
  "versions": [
    {
      "version": 1,
      "optime": 1699123456,
      "md5": "a1b2c3d4e5f6..."
    },
    {
      "version": 2,
      "optime": 1699123500,
      "md5": "b2c3d4e5f6a1..."
    },
    {
      "version": 3,
      "optime": 1699123600,
      "md5": "c3d4e5f6a1b2..."
    }
  ]
}

Retrieving a Specific Appdata Version

curl -X POST "https://your-databunker-instance/v2/AppdataGet" \
  -H "Content-Type: application/json" \
  -H "X-Bunker-Token: YOUR_ACCESS_TOKEN" \
  -d '{
    "mode": "token",
    "identity": "user-token-here",
    "appname": "mytestapp",
    "version": 1
  }'

JavaScript/TypeScript Example

import DatabunkerproAPI from "databunkerpro-js";

const client = new DatabunkerproAPI(
  "https://your-databunker-instance.com",
  "your-token"
);

// Step 1: Create user
const userResponse = await client.userCreate({
  profile: {
    login: "appuser0",
    email: "[email protected]"
  }
});
const userToken = userResponse.token;

// Step 2: Create appdata
await client.appdataCreate({
  appname: "mytestapp",
  mode: "token",
  identity: userToken,
  appdata: {
    score: 0,
    note: "init"
  }
});

// Step 3: Update appdata multiple times
for (let v = 1; v <= 3; v++) {
  await client.appdataUpdate({
    appname: "mytestapp",
    mode: "token",
    identity: userToken,
    appdata: {
      score: v,
      note: `update${v}`
    }
  });
}

// Step 4: List all appdata versions
const versionsResponse = await client.appdataListVersions({
  appname: "mytestapp",
  mode: "token",
  identity: userToken
});

console.log("Appdata versions:", versionsResponse.versions);
// Output: [
//   { version: 1, optime: 1699123456, md5: "..." },
//   { version: 2, optime: 1699123500, md5: "..." },
//   { version: 3, optime: 1699123600, md5: "..." },
//   { version: 4, optime: 1699123700, md5: "..." }
// ]

// Step 5: Retrieve a specific version
const version1 = await client.appdataGet({
  appname: "mytestapp",
  mode: "token",
  identity: userToken,
  version: 1
});

console.log("Version 1 appdata:", version1.appdata);
// Output: { score: 0, note: "init" }

const version2 = await client.appdataGet({
  appname: "mytestapp",
  mode: "token",
  identity: userToken,
  version: 2
});

console.log("Version 2 appdata:", version2.appdata);
// Output: { score: 1, note: "update1" }

Python Example

from databunkerpro import DatabunkerproAPI

api = DatabunkerproAPI(
    base_url="https://your-databunker-instance",
    x_bunker_token="YOUR_ACCESS_TOKEN"
)

# Step 1: Create user
user_response = api.user_create({
    "profile": {
        "login": "appuser0",
        "email": "[email protected]"
    }
})
user_token = user_response["token"]

# Step 2: Create appdata
api.appdata_create({
    "appname": "mytestapp",
    "mode": "token",
    "identity": user_token,
    "appdata": {
        "score": 0,
        "note": "init"
    }
})

# Step 3: Update appdata multiple times
for v in range(1, 4):
    api.appdata_update({
        "appname": "mytestapp",
        "mode": "token",
        "identity": user_token,
        "appdata": {
            "score": v,
            "note": f"update{v}"
        }
    })

# Step 4: List all appdata versions
versions_response = api.appdata_list_versions({
    "appname": "mytestapp",
    "mode": "token",
    "identity": user_token
})

print("Appdata versions:", versions_response["versions"])

# Step 5: Retrieve a specific version
version1 = api.appdata_get({
    "appname": "mytestapp",
    "mode": "token",
    "identity": user_token,
    "version": 1
})

print("Version 1 appdata:", version1["appdata"])
# Output: {"score": 0, "note": "init"}

version2 = api.appdata_get({
    "appname": "mytestapp",
    "mode": "token",
    "identity": user_token,
    "version": 2
})

print("Version 2 appdata:", version2["appdata"])
# Output: {"score": 1, "note": "update1"}

Real-World Use Cases

1. Compliance & Audit Requirements

Many regulations require maintaining a complete history of data changes:

// Track all changes to user email for GDPR compliance
const versions = await client.userListVersions({
  mode: "token",
  identity: userToken
});

// Generate audit report
const auditReport = versions.versions.map(v => ({
  version: v.version,
  timestamp: new Date(v.optime * 1000),
  hash: v.md5
}));

2. Data Recovery

Restore previous versions when data is accidentally modified:

// User's email was accidentally changed
// Restore from version 2
const previousVersion = await client.userGet({
  mode: "token",
  identity: userToken,
  version: 2
});

// Restore the email
await client.userUpdate({
  mode: "token",
  identity: userToken,
  profile: {
    email: previousVersion.profile.email
  }
});

3. Change Analysis

Analyze how user data changes over time:

// Get all versions and compare changes
const versions = await client.userListVersions({
  mode: "token",
  identity: userToken
});

for (const v of versions.versions) {
  const record = await client.userGet({
    mode: "token",
    identity: userToken,
    version: v.version
  });
  
  console.log(`Version ${v.version}:`, {
    timestamp: new Date(v.optime * 1000),
    email: record.profile.email
  });
}

4. Application State Management

Track changes to application-specific data:

// Track score changes in a game application
const versions = await client.appdataListVersions({
  appname: "gameapp",
  mode: "token",
  identity: userToken
});

// Find when score reached certain milestones
for (const v of versions.versions) {
  const appdata = await client.appdataGet({
    appname: "gameapp",
    mode: "token",
    identity: userToken,
    version: v.version
  });
  
  if (appdata.appdata.score >= 1000) {
    console.log(`Score milestone reached at version ${v.version}`);
  }
}

Security Considerations

Access Control

Record versioning respects Databunker Pro’s Conditional Role-Based Access Control (CRBAC):

Policy Enforcement: Access to version history is controlled by policies
Audit Logging: All version access operations are logged

Privacy Protection

Encrypted Storage: All version data remains encrypted at rest
Secure Transmission: Version requests use HTTPS encryption
Access Logging: Complete audit trail of all version access activities

Version Metadata

Each version includes important metadata:

Field	Type	Description
`version`	integer	Sequential version number (starts at 1)
`optime`	integer	Unix timestamp when the version was created
`md5`	string	MD5 hash of the version data for integrity verification

Conclusion

Databunker Pro’s Record Versioning feature provides a powerful, secure, and efficient way to track changes to user profiles and application data. By automatically maintaining a complete version history with cryptographic integrity verification, it enables applications to:

Meet compliance and audit requirements
Recover from accidental data modifications
Analyze data changes over time
Maintain data integrity and security

The versioning capability is particularly valuable for:

Compliance-driven applications (GDPR, HIPAA, etc.)
Applications requiring audit trails
Systems with frequent data updates
Applications needing data recovery capabilities

Get started

Installation

Administration

Concepts

Developer tools

Configuration

What Problems Does Record Versioning Solve?

1. Change History & Data Integrity

2. Data Recovery & Rollback

3. Change Tracking & Analysis

How Record Versioning Works

Supported Record Types

User Profile Versioning

Listing User Versions

Retrieving a Specific User Version

JavaScript/TypeScript Example

Python Example

Application Data Versioning

Listing Appdata Versions

Retrieving a Specific Appdata Version

JavaScript/TypeScript Example

Python Example

Real-World Use Cases

1. Compliance & Audit Requirements

2. Data Recovery

3. Change Analysis

4. Application State Management

Security Considerations

Access Control

Privacy Protection

Version Metadata

Conclusion

Get started

Installation

Administration

Concepts

Developer tools

​Configuration

​What Problems Does Record Versioning Solve?

​1. Change History & Data Integrity

​2. Data Recovery & Rollback

​3. Change Tracking & Analysis

​How Record Versioning Works

​Supported Record Types

​User Profile Versioning

​Listing User Versions

​Retrieving a Specific User Version

​JavaScript/TypeScript Example

​Python Example

​Application Data Versioning

​Listing Appdata Versions

​Retrieving a Specific Appdata Version

​JavaScript/TypeScript Example

​Python Example

​Real-World Use Cases

​1. Compliance & Audit Requirements

​2. Data Recovery

​3. Change Analysis

​4. Application State Management

​Security Considerations

​Access Control

​Privacy Protection

​Version Metadata

​Conclusion

Configuration

What Problems Does Record Versioning Solve?

1. Change History & Data Integrity

2. Data Recovery & Rollback

3. Change Tracking & Analysis

How Record Versioning Works

Supported Record Types

User Profile Versioning

Listing User Versions

Retrieving a Specific User Version

JavaScript/TypeScript Example

Python Example

Application Data Versioning

Listing Appdata Versions

Retrieving a Specific Appdata Version

JavaScript/TypeScript Example

Python Example

Real-World Use Cases

1. Compliance & Audit Requirements

2. Data Recovery

3. Change Analysis

4. Application State Management

Security Considerations

Access Control

Privacy Protection

Version Metadata

Conclusion