v5.0 - v5.5 Data Sync Documentation
  • Overview
  • Release Notes
    • V4.5
    • V4.6
    • v4.7
    • v4.8
    • v4.9
    • v4.10
    • v4.12
    • v4.13
  • v4 Connections Installation Guide
    • v5 Connections and CLI Installation Guide
  • v4 Worker/Listener Installation Guide
    • v5 Worker/Listener Installation Guide
  • Upgrades & Config Changes
  • Builder Guide
    • Overview
    • Types of Data Syncs
    • Subscribing to Event Streams
      • Supported Stream Sources
        • Amazon Simple Queue Service (SQS)
        • Cinchy Change Data Capture
        • Data Polling
        • Kafka Topic
        • MongoDB
        • Salesforce
          • Push Topic
          • Platform Event
    • Configuring a Data Sync
      • Connections Experience & XML Config Reference
        • Info
          • Parameters
            • String Escape
        • Source Config Reference
          • Schema Columns
            • Calculated Column Examples
          • Auth Requests
          • Request Headers
          • Pagination
          • Source Filter
        • Target Destination Config Reference
          • Column Mappings
          • Target Destination Filter
        • Sync Behaviour
        • Post Sync
        • Permissions
        • Jobs
        • Connections Usage Example
      • Data Validation
      • Transformations
        • StringReplacement
      • Supported Data Sources
        • File Based Source
          • Binary File
            • Binary File Data Source Example
          • Delimited File
            • Delimited File Data Source XML Example
          • Fixed Width File
          • Excel
            • Excel Source XML Example
        • Cinchy Event Broker/CDC
          • Cinchy Event Broker/CDC XML Config Example
        • Cinchy Table
          • Cinchy Table XML Config Example
        • Cinchy Query
          • Cinchy Query Data Source Example
        • Copper
        • DB2
        • Dynamics 2015
        • Dynamics
        • DynamoDB
        • Kafka Topic
          • Apache AVRO Data Format
          • Kafka Topic Source Example
        • LDAP
        • MongoDB Collection
          • MongoDB Collection Source XML Example
        • MongoDB Collection (Cinchy Event Triggered)
        • MS SQL Server Query
        • MS SQL Server Table
        • ODBC Table
        • ODBC Query
        • Oracle Table
        • Oracle Query
        • Parquet
        • Polling Event
          • Polling Event Example
        • REST API (Cinchy Event Triggered)
        • REST API
          • REST API XML Example
        • SAP SuccessFactors
        • Salesforce Object (Bulk API)
        • Salesforce Platform Event
        • Salesforce Push Topic
        • Snowflake
          • Snowflake Source XML Example
        • SOAP 1.2 Web Service
      • Supported Sync Targets
        • Cinchy Table
        • DB2 Table
        • Dynamics
        • Kafka Topic
        • MongoDB Collection (Column Based)
        • MS SQL Server Table
        • Oracle Table
        • REST API
        • Salesforce
        • Salesforce Object
        • Snowflake Table
          • Snowflake Table Target XML Example
        • SOAP 1.2 Web Service
    • Common Design Patterns
    • Testing a Data Sync
    • Promoting a Data Sync
    • Scheduling a Data Sync
    • CLI Command List
    • Connections Functions
    • Monitoring
  • Cinchy Platform Documentation
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  • 1. Overview
  • 2. Source Schema
  • 2. Filters

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  1. Builder Guide
  2. Configuring a Data Sync
  3. Supported Data Sources

Polling Event

PreviousParquetNextPolling Event Example

Last updated 2 years ago

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1. Overview

Version 5.4 of the Cinchy platform introduced data polling, a source option which uses the Cinchy Event Listener to continuously monitor and sync data entries from your SQLServer or DB2 server into your Cinchy table. This capability makes data polling a much easier, effective, and streamlined process and avoids implementing the complex orchestration logic that was previous necessary.

This page outlines how to set up the Polling Event Broker Data Source for a data sync.

Ensure that you have correctly set up your Listener Config prior to setting up your data sync.

Polling Data Source supports DB2 and SQL Server databases.

2. Source Schema

  1. Add in your applicable SQLServer or DB2 server source column(s) (Image 1). See the documentation here for further details on each column type. You can review an example schema here.

2. Filters

You may choose to use CQL to create a filter (Image 2). Review the documentation here for more on filters.

Image 1: The parameters for a standard column
Image 2: Add in your CQL filter