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  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. AI synthesis: Data pre-processing when using
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
      • AI-generated synthetic data
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
        • Azure Data Lake Storage (ADLS)
        • Amazon Simple Storage Service (S3)
      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mock
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • Other
      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
      • Exclude
      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
        • Offline
    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
      • Updating the application
      • Backup
    • Deploy Syntho using Kubernetes
      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
      • Deploy Syntho using Helm
      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
      • Backup
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
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  • Standard mockers
  • Custom integer
  • Uniform distribution
  • Numeric series

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  1. Configure a Data Generation Job
  2. Configure column settings
  3. Mock

Numeric (integer)

PreviousSupported languagesNextNumeric (decimal)

Last updated 2 months ago

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Below is a list of available numeric (integer) mockers.

Standard mockers

Mocker
Description

Age

A numerical representation of a person's age.

HTTP status code

A random HTTP status code from a list of commonly used codes.

Port number

A random network port number used for computer networking.

Random digit

A randomly generated digit character.

Random digit not null

A randomly generated non-zero digit character.

Custom integer

Generates integer values with each placeholder in Custom integer field.

Parameters

  • Custom integer: Each placeholder is replaced according to the following rules:

    • Number signs (‘#’) are replaced with a random digit (0 to 9).

    • Percent signs (‘%’) are replaced with a random non-zero digit (1 to 9).

    • Dollar signs (‘$’) are replaced with a random digit above two (2 to 9).

  • Consistent mapping: Custom integer supports .

Note: Additionally, any digits between 0 and 9 can be used in the pattern, apart from 0 as the first character. For example, '%#$#' will create a 4 digit number following the rules above.

Example

If you configure:

Custom integer as: %#$# 

The results will be:

1188,
6894,
3870,
...

Uniform distribution

Generates a random integer between Minimum and Maximum.

Parameters

  • Minimum : The minimum value of the integer (inclusive).

  • Maximum: The maximum value of the integer (exclusive).

Example

If you configure:

Minimum as: 5
Maximum as: 10

The results will be:

9,
5,
7,
...

Numeric series

Generates numeric (integer) series starting at Start with Steps.

Parameters

  • Start (int): The minimum value of the numeric (integer) (inclusive).

  • Step (int): The step at a size numeric (integer) series will continue.

Example

If you configure:

Start: 3
Step: 5

The results will be:

2,
7,
12,
...

Consistent mapping: Uniform distribution supports .

Consistent mapping: Numeric series supports .

consistent mapping
consistent mapping
consistent mapping