Cinchy Platform Documentation
Cinchy v5.6
Cinchy v5.6
  • Data Collaboration Overview
  • Release Notes
    • Release Notes
      • 5.0 Release Notes
      • 5.1 Release Notes
      • 5.2 Release Notes
      • 5.3 Release Notes
      • 5.4 Release Notes
      • 5.5 Release Notes
      • 5.6 Release Notes
  • Getting Help
  • Cinchy Glossary
  • Frequently Asked Questions
  • Deployment Guide
    • Deployment Installation Guides
      • Deployment Planning Overview and Checklist
        • Deployment Architecture Overview
          • Kubernetes Deployment Architecture
          • IIS Deployment Architecture
        • Deployment Prerequisites
          • Single Sign-On (SSO) Integration
            • Enabling TLS 1.2
            • Configuring ADFS
            • AD Group Integration
      • Kubernetes Deployment Installation
        • Disabling your Kubernetes Applications
        • Changing your File Storage Configuration
        • Configuring AWS IAM for Connections
        • Using Self-Signed SSL Certs (Kubernetes Deployments)
        • Deploying the CLI (Kubernetes)
      • IIS Deployment Platform Installation
    • Upgrade Guides
      • Upgrading Cinchy Versions
        • Cinchy Upgrade Utility
        • Kubernetes Upgrades
          • v5.1 (Kubernetes)
          • v5.2 (Kubernetes)
          • v5.3 (Kubernetes)
          • v5.4 (Kubernetes)
          • v5.5 (Kubernetes)
          • v5.6 (Kubernetes)
          • Upgrading AWS EKS Kubernetes Version
          • Updating the Kubernetes Image Registry
          • Upgrading AKS (Azure Kubernetes Service)
        • IIS Upgrades
          • v4.21 (IIS)
          • v4.x to v5.x (IIS)
          • v5.1 (IIS)
          • v5.2 (IIS)
          • v5.3 (IIS)
          • v5.4 (IIS)
          • v5.5 (IIS)
          • v5.6 (IIS)
      • Upgrading from v4 to v5
  • Guides for Using Cinchy
    • User Guides
      • Overview of the Data Browser
      • The Admin Panel
      • User Preferences
        • Personal Access Tokens
      • Table Features
      • Data Management
      • Queries
      • Version Management
        • Versioning Best Practices
      • Commentary
    • Builder Guides
      • Best Practices
      • Creating Tables
        • Attaching Files
        • Columns
        • Data Controls
          • Data Entitlements and Access Controls
          • Data Erasure
          • Data Compression
        • Formatting Rules
        • Indexing and Partitioning
        • Linking Data
        • Table and Column GUIDs
        • System Tables
      • Deleting Tables
        • Restoring Tables, Columns, and Rows
      • Saved Queries
      • CinchyDXD Utility
        • Building the Data Experience (CinchyDXD)
        • Packaging the Data Experience (CinchyDXD)
        • Installing the Data Experience (CinchyDXD)
        • Updating the Data Experience (CinchyDXD)
        • Repackaging the Data Experience (CinchyDXD)
        • Reinstalling the Data Experience (CinchyDXD)
      • Multi-Lingual Support
      • Integration Guides
    • Administrator Guide
    • Additional Guides
      • Monitoring and Logging on Kubernetes
        • Grafana
        • Opensearch Dashboards
          • Setting up Alerts
        • Monitoring via ArgoCD
      • Maintenance
      • System Properties
      • Enable Data At Rest Encryption
      • MDQE
      • Application Experiences
        • Network Map
          • Custom Node Results
          • Custom Results in the Network Map
        • Setting Up Experiences
  • API Guide
    • API Overview
      • API Authentication
      • API Saved Queries
      • ExecuteCQL
      • Webhook Ingestion
  • CQL
    • The Basics of CQL
      • CQL Examples
      • CQL Functions Master List
      • CQL Statements Overview
        • Cinchy DML Statements
        • Cinchy DDL Statements
      • Cinchy Supported Functions
        • Cinchy Functions
        • Cinchy System Values
        • Cinchy User Defined Functions
          • Table-Valued Functions
          • Scalar-Valued Functions
        • Conversion Functions
        • Date and Time Types and Functions
          • Return System Date and Time Values
          • Return Date and Time Parts
          • Return Date and Time Values From Their Parts
          • Return Date and Time Difference Values
          • Modify Date and Time Values
          • Validate Date and Time Values
        • Logical Functions
        • Mathematical Functions
        • String Functions
        • Geometry and Geography Data Type and Functions
          • OGC Methods on Geometry & Geography Instances
          • Extended Methods on Geometry & Geography Instances
        • Full Text Search Functions
        • Connections Functions
        • JSON Functions
  • Meta Forms
    • Introduction to Meta-Forms
    • Meta-Forms Deployment Installation Guide
      • Deploying Meta-Forms (Kubernetes)
      • Deploying Meta-Forms (IIS)
    • Forms Data Types
    • Meta-Forms Builders Guides
      • Creating a Dynamic Meta-Form (Using Tables)
      • Creating a Dynamic Meta-Form Example (Using Form Designer)
      • Adding Links to a Form
      • Rich Text Editing in Forms
  • Data Syncs
    • Getting Started with Data Syncs
    • Installation & Maintenance
      • Prerequisites
      • Installing Connections
      • Installing the Worker/Listener
      • Installing the CLI and the Maintenance CLI
    • Building Data Syncs
      • Types of Data Syncs
      • Common Design Patterns
      • Sync Behaviour
      • Columns and Mappings
        • Calculated Column Examples
      • Listener Configuration
      • Advanced Settings
        • Filters
        • Parameters
        • Auth Requests
        • Request Headers
        • Post Sync Scripts
        • Pagination
      • Batch Data Sync Example
      • Real-Time Sync Example
      • Scheduling a Data Sync
      • Connection Functions
    • CLI Commands List
    • Error Logging and Troubleshooting
    • Supported Data Sync Sources
      • Cinchy Event Broker/CDC
        • Cinchy Event Broker/CDC XML Config Example
      • Cinchy Table
        • Cinchy Table XML Config Example
      • Cinchy Query
        • Cinchy Query XML Config Example
      • Copper
      • DB2 (Query and Table)
      • Dynamics 2015
      • Dynamics
      • DynamoDB
      • File Based Sources
        • Binary File
        • Delimited File
        • Excel
        • Fixed Width File
        • Parquet
      • Kafka Topic
        • Kafka Topic Example Config
        • Apache AVRO Data Format
      • LDAP
      • MongoDB Collection
        • MongoDB Collection Source Example
      • MongoDB Collection (Cinchy Event Triggered)
      • MS SQL Server (Query and Table)
      • ODBC Query
      • Oracle (Query and Table)
      • Polling Event
        • Polling Event Example Config
      • REST API
      • REST API (Cinchy Event Triggered)
      • SAP SuccessFactors
      • Salesforce Object (Bulk API)
      • Salesforce Platform Event
      • Salesforce Push Topic
      • Snowflake
        • Snowflake Source Example Config
      • SOAP 1.2 Web Service
    • Supported Data Sync Destinations
      • Cinchy Table
      • DB2 Table
      • Dynamics
      • Kafka Topic
      • MongoDB Collection
      • MS SQL Server Table
      • Oracle Table
      • REST API
      • Salesforce Object
      • Snowflake Table
      • SOAP 1.2 Web Service
    • Supported Real-Time Sync Stream Sources
      • Cinchy Event Broker/CDC
      • Data Polling
      • Kafka Topic
      • MongoDB
      • Salesforce Push Topic
      • Salesforce Platform Event
  • Other Resources
    • Angular SDK
    • JavaScript SQK
Powered by GitBook
On this page
  • Examples
  • Example 1: XML
  • Example 2: XML
  • Example 3: JavaScript
  • Attributes

Was this helpful?

Export as PDF
  1. Data Syncs
  2. Building Data Syncs
  3. Columns and Mappings

Calculated Column Examples

PreviousColumns and MappingsNextListener Configuration

Last updated 1 year ago

Was this helpful?

Examples

Examples 1 and 2 are shown first within the experience as well as their XML equivalent.

Example 3 demonstrates the use of Javascript in Calculated Columns.

Example 1: XML

The value of this column for each record is whatever the value is of the lob parameter.

XML equivalent of the above example:

<Parameters>
<Schema>
  <CalculatedColumn name="lob" formula="@lob" dataType="Text" maxLength="100" 
      isMandatory="false" description="" trimWhitespace="true"/>
  <CalculatedColumn name="name" formula="CONCAT(firstname, lastname)" 
      dataType="Text" maxLength="100" isMandatory="false" 
      description="" trimWhitespace="true"/>
 </Schema>

The CONCAT function supports more than 2 parameters, and any literal values must be enclosed in single quotes (e.g. 'abc')

Example 2: XML

The values of two columns are concatenating together.

XML equivalent of the above example:

<Parameters>
<Schema>
  <CalculatedColumn name="lob" formula="@lob" dataType="Text" maxLength="100" 
      isMandatory="false" description="" trimWhitespace="true"/>
  <CalculatedColumn name="name" formula="CONCAT(firstname, lastname)" 
      dataType="Text" maxLength="100" isMandatory="false" 
      description="" trimWhitespace="true"/>
 </Schema>

The CONCAT function supports more than 2 parameters, and any literal values must be enclosed in single quotes (e.g. 'abc')

Example 3: JavaScript

This example splits a [Name] column with the format "Lastname, Firstname" into two columns: [First Name] and [Last Name].

       <Schema>
            <Column name="Name" dataType="Text"/>
            <CalculatedColumn name="First Name" ordinal="3" dataType="Text">
                <Script>
            function firstName(Name) {
                return Name.substr(Name.indexOf(', ')+2);
            }
                        
            function calc(currentRecord) {
                if (currentRecord['Name'])
                    return firstName(currentRecord['Name']);
                    return '';
            }            
            </Script>
            </CalculatedColumn>
            <CalculatedColumn name="Last Name" dataType="Text">
                <Script>
                    function lastName(Name) {
                        return Name.substr(0,Name.indexOf(', '));
                    }
    
    
                    function calc(currentRecord) {
                        if (currentRecord['Name'])
                        return lastName(currentRecord['Name']);                            
                        return '';
                    }   
                    </Script>
            </CalculatedColumn>
        </Schema>

Attributes

name

formula

CQL expression used to define formula. Supported functions:

Function

Details

CONCAT(colA, colB, 'literal value1', 'literal value2')

Concatenates multiple columns, parameters or literal values together. Supports two or more parameters.

row_number()

This is the numeric row number of files (Excel, delimited, fixed width). Currently not supported in conjunction with other formulas/parameters.

isnull(colA,'alt value')

If the first column is null, use the second value (can be a literal or another column).

hash('SHA256',colA)

Hashes the column using the algorithm specified.

We recommend you salt your value before you hash it.

dataType

The data type of each column could be Text, Date, Number or Bool.

maxLength

The max length of data in the column.

isMandatory

Boolean value determining if the field is a mandatory column to create a row entry.

validateData

Boolean value determining whether or not to validate the data before inserting. Valid data means to fit all the constraints of the column (dataType, maxLength, isMandatory, inputFormat). If the data is not valid and validateData is true, then the entry will not be synced into the table. Also, Execution Errors Table is updated with appropriate Error Type (Invalid Format Exception, Max Length Violation, Mandatory Rule Violation, Input Format Exception)

description

Description of the column.

trimWhitespace

Boolean value determining whether or not to trim white space.

The user defined name for each calculated column. This is used in when you want to indicate the name of the sourceColumn.

<ColumnMapping>