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Updates a Neo4j database schema to match a specific version, enabling schema migrations during system upgrades.

Purpose

This function is designed to handle schema versioning and migrations in a Neo4j graph database. It accepts a target version string and updates the database schema accordingly. Currently, the implementation delegates to initialize_schema() as a placeholder, but is intended to support version-specific migration logic for upgrading database schemas between different application versions.

Source Code

def update_schema(driver: Driver, version: str) -> bool:
    """
    Update schema to match a specific version.
    This allows for schema migrations when upgrading.
    
    Args:
        driver: Neo4j driver instance
        version: Target schema version
        
    Returns:
        Boolean indicating success of update
    """
    # Implementation would handle migrations between versions
    # For now, just re-initialize the schema
    return initialize_schema(driver)

Parameters

Parameter Details

driver: A Neo4j Driver instance that provides the connection to the Neo4j database. This driver is used to execute schema update operations and must be properly initialized and connected before calling this function.

version: A string representing the target schema version to migrate to. This should follow a versioning scheme (e.g., '1.0.0', '2.1.3') and determines which migration steps need to be executed. Currently not used in the implementation but intended for version-specific migration logic.

Return Value

Type: bool

Returns a boolean value indicating whether the schema update was successful. True means the schema was successfully updated to the target version, False indicates the update failed. The actual return value currently depends on the initialize_schema() function's success.

Dependencies

• neo4j
• CDocs

Required Imports

from neo4j import Driver

Usage Example

from neo4j import GraphDatabase
from neo4j import Driver

# Initialize Neo4j driver
uri = 'bolt://localhost:7687'
username = 'neo4j'
password = 'password'
driver = GraphDatabase.driver(uri, auth=(username, password))

try:
    # Update schema to version 2.0.0
    success = update_schema(driver, '2.0.0')
    if success:
        print('Schema successfully updated to version 2.0.0')
    else:
        print('Schema update failed')
finally:
    driver.close()

Best Practices

• Always backup the database before running schema migrations
• Ensure the Neo4j driver is properly initialized and connected before calling this function
• Close the driver connection after schema updates are complete
• Implement proper error handling around this function call to catch migration failures
• The current implementation is a placeholder - production use should implement version-specific migration logic
• Consider implementing rollback mechanisms for failed migrations
• Test schema migrations on a non-production database first
• Document schema changes between versions for maintainability

Tags

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