Feature List
  • 8.x
    • Team Feature
      • Data-Prep Features
      • Pipeline Features
        • What's New Window Pop-up
        • Failure Db-Sync
        • Testing for Kafka 3.1.0
        • Python 3.10 R&D
        • Job History
        • SPC (Single Page for Configuration)
        • Python Jobs
        • Failure Alerts
        • Event Channel Alerts
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        • Pipeline : PySpark Component (PySpark Job)
      • Dashboard Charting
        • Widget as component
        • Knowledge Graph Chart
          • Sample Library based code
        • Word Cloud
        • Tile component
        • Sankey Chart
        • Model as API Connector
        • Dataprep recipe in Dataset selection
        • Decomposition Enhancment
      • Python Upgrade
        • Core Platform : Data Services
        • Core Platform : Data Catalog
        • Core Platform : Data Center
        • Data Science Lab
      • Sonar Code Scan automation by DevOps
      • DS Lab PySpark Project.
      • Core Platform
        • Tag Feature For Data Connector , Dataset , DataStore etc..
        • DataStore & Metadatastore Migration
        • MongoDB & ClickHouse Support For DataSheet
        • Data As API WorkBench
        • Pagination in Home , DataCenter , Dataset , DataStore etc..
        • Sharing Data Connector & Data Set with View or Edit Permission.
        • Core Monitoring & Alerting
      • Data Science Lab
        • Auto Forecasting Requirements
          • User Input
          • Forecasting Method
          • Explainability
        • DSLAB Sprint May1-2023-May12-2023
        • DS LAB Sprint Apr10-Apr21
        • Provide Static Variables for DSLAB Component In AutoML
        • Scheduler For DSLAB Scripts
        • Optimisation of Model Explainability code
    • QA
    • DevOps
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Failure Db-Sync

This is to give a feature that a component can directly write the data to the failover DB

The Failure Db-Sync feature allows a component to directly write data to the failover database in case of a process failure. This feature is useful in situations where there is any failure and data needs to be written to the failover database to ensure data integrity. In this document, we will discuss the features and benefits of the Failure Db-Sync feature.

Features:

The Failure Db-Sync feature provides the following features:

  1. Direct Data Writing: The component can directly write data to the failover database in case of synchronization failure. This feature ensures that data is always available, even in the event of a primary database failure.

  2. Failover Sync Event: The Failure Db-Sync feature works exactly like the failover event. There will be a type defined for sync-event as failover sync, and the data can be mapped and written to the failover database.

  3. Data Integrity: The Failure Db-Sync feature ensures data integrity by allowing data to be written to the failover database in case of primary database failure. This feature reduces the risk of data loss or corruption and ensures that the system remains operational.

Benefits:

The Failure Db-Sync feature provides the following benefits:

  1. Improved Reliability: The Failure Db-Sync feature improves the reliability of the system by ensuring that data is always available, even in the event of a primary database failure. This feature reduces the risk of downtime and data loss.

  2. Enhanced Data Integrity: The Failure Db-Sync feature enhances data integrity by allowing data to be written to the failover database in case of synchronization failure. This feature reduces the risk of data loss or corruption and ensures that the system remains operational.

  3. Cost Savings: The Failure Db-Sync feature can result in cost savings by reducing the need for expensive backup solutions. This feature ensures that data is always available and reduces the risk of data loss or corruption, which can result in significant cost savings for the organization. This will also not use extra resources that will lead to cost saving .

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Last updated 2 years ago