Contents

Cancel

Recommended Articles

  1. unify-apps

    Indexing

    Unify AI

    Transform raw content into searchable knowledge through AI-powered indexing and vector embeddings

  2. unify-apps

    Snowflake as Destination

    Unify Data

    Load and transform your data seamlessly into Snowflake's cloud data warehouse with UnifyApps' native connectivity and flexible staging options.

  3. unify-apps

    Quentn

    Unify Integrations

    Integrate your app with Quentn to automate marketing campaigns, manage contacts, and optimize customer engagement.

  4. unify-apps

    Connector SDK

    Platform Tools

    Create custom connectors within the Unify platform to unify workflows

  5. unify-apps

    JobNimbus

    Unify Integrations

    Integrate your application with JobNimbus to manage leads, track jobs, and streamline your workflow processes efficiently

  6. unify-apps

    IMAP

    Unify Integrations

    Integrate your app with IMAP to enable seamless email synchronization, real-time access, and enhanced communication workflows.

  7. unify-apps

    Basin

    Unify Integrations

    Basin transforms form handling from a backend headache into a simple integration—capture submissions, trigger automations, and manage data flows without touching server code, giving you more time to build what matters

  8. unify-apps

    Preview Your Work

    Unify Automations

    Effortlessly review & monitor your automation’s performance

  9. unify-apps

    QuickBooks

    Unify Integrations

    Integrate your app with QuickBooks to streamline accounting, automate invoicing, and manage finances effortlessly

  10. unify-apps

    FTP/FTPS

    Unify Integrations

    Connect your app with FTP/FTPS to automate secure file transfers and streamline data exchange across systems.

  11. unify-apps

    Data-Sync by Avoid Duplicate Operations Setting

    Unify Data

    Prevent infinite loops in bidirectional data synchronization by creating record hashes that ensure one-way data flow across connected systems.

  12. unify-apps

    Filters

    Unify Applications

    Enable users to refine, search, and sort data effortlessly across dashboards and datasets

  13. unify-apps

    Insided

    Unify Integrations

    Integrate your app with Insided to enhance customer engagement, streamline community management, and drive self-service support.

  14. unify-apps

    Reverse Polling

    Unify Data

    Reverse Polling technique efficiently retrieves recent data from APIs that return results in chronological order (oldest first), optimizing pagination and data processing strategies when working with time-ordered data sources.

  15. unify-apps

    Facebook Ads

    Unify Integrations

    Connect your app with Facebook Ads to automate campaign management, optimize ad performance, and track marketing success.

  16. unify-apps

    Duplicate Field

    Unify Integrations

    Create independent copies of your data fields to enable multiple mappings while preserving original values for validation and complex workflows.

  17. unify-apps

    Gainsight

    Unify Integrations

    Integrate your app with Gainsight to enhance customer success, automate engagement workflows, and drive retention

  18. unify-apps

    Simplesat

    Unify Integrations

    Integrate your app with Simplesat to collect real-time customer feedback, measure satisfaction, and improve service quality.

  19. unify-apps

    Livestorm

    Unify Integrations

    Integrate your app with Livestorm to streamline webinar hosting, automate event management, and enhance audience engagement.

  20. unify-apps

    Application Connectors

    Unify Data

    Instantly leverage 30+ pre-built application connectors to extract, transform, and load your business-critical data between systems with UnifyApps' no-code integration platform.

    Logo
    Pipeline Deployment
    Logo
    Pipeline Logs
Unify Data
Logo
Overview
Logo
Data-Sync by Avoid Duplicate Operations Setting

Data-Sync by Avoid Duplicate Operations Setting

Logo

4 mins READ

Avoid Duplicate Operations allows UnifyApps data pipelines to prevent redundant processing of the same records when implementing cyclical or looped pipeline architectures. This setting creates unique hashes of records and actions to maintain data integrity and prevent duplicative operations during migration processes.

Duplicate Prevention for Cyclical Pipeline Architectures

When configured, UnifyApps implements a hash-based verification system that enables:

  • One-way data flow even in bidirectional pipeline configurations

  • Record-level duplicate detection for high-precision control

  • Resource optimization by preventing redundant processing

Configuring Avoid Duplicate Operations in Pipeline Settings

Image
Image

To enable duplicate prevention in your UnifyApps data pipeline:

  1. Go to the Settings tab.

  2. Under the Avoid Duplicate Operations (Optional) section, check the box to enable the feature.

  3. Save your pipeline configuration.

How Duplicate Prevention Works: Example

Let's walk through a simple example to demonstrate how the duplicate prevention works during data synchronization:

Example: Bidirectional Synchronization Between Systems

Initial Configuration: Day 1

  • Oracle Database A contains customer records

  • PostgreSQL Database B needs to maintain synchronized customer data

  • Pipeline 1: Oracle → PostgreSQL

  • Pipeline 2: PostgreSQL → Oracle (for updates made in PostgreSQL)

Day 1: Without Duplicate Prevention

Customer record updated in Oracle
Pipeline 1 copies record to PostgreSQL
Pipeline 2 sees "new" record in PostgreSQL
Pipeline 2 copies record back to Oracle
Pipeline 1 sees "updated" record in Oracle
...infinite loop continues...

Day 1: With Duplicate Prevention Enabled

Customer record updated in Oracle
Pipeline 1 creates hash of record+operation and copies to PostgreSQL
Pipeline 2 detects matching hash for record+operation
Pipeline 2 skips processing this record
Loop terminates properly

Day 3: Data Changes in Both Systems

Two days later, records are updated independently in both systems:

Updated Data:

  • Oracle: Customer #1001 phone updated to 555-1234

  • PostgreSQL: Customer #1002 address updated to "123 Main St"

Day 3: Synchronization with Duplicate Prevention

Pipeline 1 runs:
- Processes Customer #1001 changes, creates hash, updates PostgreSQL
- Detects Customer #1002 was already processed (has hash), skips
Pipeline 2 runs:
- Processes Customer #1002 changes, creates hash, updates Oracle
- Detects Customer #1001 was already processed (has hash), skips

Notice the key behaviors:

  • Each record change is processed exactly once

  • Changes flow properly in both directions

  • Duplicate processing is avoided through hash verification

  • Synchronization completes without infinite loops

Practical Use Cases for Avoid Duplicate Operations

  1. Multi-System Data Synchronization When maintaining data consistency across multiple databases:

    System A ⟷ System B ⟷ System C
    

    Without duplicate prevention, a change in System A could ping-pong between systems indefinitely.

  2. Change Data Capture with Loopback Verification For CDC processes that include verification workflows:

    1. Capture changes in source system
    2. Apply to target system
    3. Verify changes in target match source
    4. Update status in source system

  3. Master Data Management with Multiple Sources of Truth When combining multiple authoritative data sources:

    CRM System → MDM Hub ← ERP System

    Changes from both systems flow into the hub without creating duplicate updates.

  4. ETL Processes with Validation Loops For complex ETL workflows with validation steps:

    Extract → Transform → Load → Validate → Update Source Status

    The final status update doesn't trigger re-extraction of the same records.

By implementing the Avoid Duplicate Operations setting, you ensure data integrity across complex pipeline architectures while preventing the resource waste and potential data corruption caused by infinite processing loops. This feature is especially crucial for bidirectional synchronization scenarios or any data pipeline implementation that might create circular data flows.