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  • Introduction
  • Use cases for API Simulation
  • Key concepts
  • What's New
  • Dashboard
  • Simulation
    • Create simulations
    • Configuring Request Matchers
      • JSON Request Matchers on the Body
        • EXACT Matcher
        • JSON Matcher
        • JSON Partial Matcher
        • JSONPath Matcher
        • Regular Expression Matcher
      • Handling the response when Hoverfly cannot match
    • Building a JSON Response
      • Using a JSON object from the Request
      • Looping over a JSON array from the Request
    • Simulating Webhooks and Callbacks
    • Using templating in simulations
      • Render back any part of the Request
      • Render synthetic data
      • Faker functions
      • Render dates and times with offsets
      • Conditional logic
      • Looping over arrays
      • Variables and Arrays
      • Arithmetic operations
      • String operations
      • Validation operations
      • Simulating a persistent backend
      • Transitioning state between requests
      • Combining and nesting templating functions
      • Useful helper functions
      • Avoiding HTML encoding in function return values
    • Using data sources in simulations
      • Querying data sources
      • Updating data in data sources
      • Deleting data from data sources
      • Inserting data into a data source
      • Guidance on using the SQL like syntax
    • Working with Simulation Files
  • Service
    • Start a new service
    • Use a service
    • Update a service
    • Configuring Journal Indexing
  • Command line interface
    • Hoverfly Cloud CLI commands
  • Tutorials
    • Quickstart
    • Creating simulations and services
      • Tutorial 1: Create a service and simulation manually
      • Tutorial 2: Create a service and simulation by importing from a Swagger specification
      • Tutorial 3: Create a service and simulation by capturing real API traffic
    • Response Templating
      • Tutorial 4: Response Templating
    • Hoverfly service modes
      • Tutorial 5: Simulate, Capture, Spy and Passthrough modes
    • Automating with the CLI and API
      • Tutorial 6: Using the CLI and the Hoverfly Cloud API
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  • Updating data in a CSV Data Source
  • Update data with {{csvSqlCommand}}
  1. Simulation
  2. Using data sources in simulations

Updating data in data sources

With Hoverfly Cloud Enterprise you can update data within a CSV data source on the fly just as if your API were updating a real data source.

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Last updated 3 months ago

Updating data in a CSV Data Source

You can update data within a CSV data source on the fly within your simulation just as if your API were updating a real data source. The data is modified for the duration that the service is running. When the service is restarted, the data will revert to what was in the original uploaded CSV.

For illustration we will use this data source called "pets":

id
category
name
status

1000

birds

Archie

available

1001

dogs

Zipper

available

1002

dogs

Teddy

sold

Update data with {{csvSqlCommand}}

A simplified SQL like syntax can be used to update the data in a csv data source. (This syntax can also be used to and from the data source. You cannot insert using this syntax however there is a mechanism which can be read about .)

You can read more about using this SQL like syntax .

Syntax:

{{ csvSqlCommand '(sql-update-statement)' }}

Template Example: Set the status of pets with a name of 'Archie' to 'sold'

{{ csvSqlCommand "UPDATE pets SET status = 'sold' WHERE name = 'Archie' }}

Result:

There is no output from an UPDATE statement but the data in memory for all subsequent calls to the API simulation will be modified as follows:

id
category
name
status

1000

birds

Archie

sold

1001

dogs

Zipper

available

1002

dogs

Teddy

sold

SELECT
DELETE
here
here