Pipefy Rolls Out Major GraphQL Update for Batch Processing

Pipefy Rolls Out Major GraphQL Update for Batch Processing
Adil El

Pipefy has released a significant GraphQL update with its new `updateFieldsValues` mutation, allowing developers to batch update up to 30 fields at once.

Software company Pipefy has announced a significant GraphQL update to its API, introducing a new mutation designed to dramatically improve developer efficiency. The new mutation, named `updateFieldsValues`, allows for the batch updating of up to 30 fields in a single API call, streamlining a process that previously required multiple requests.

Streamlining Complex Workflows

In modern development, updating data on a server is a common task, often handled in GraphQL through what are known as Update Mutations. However, modifying fields that contain multiple values, such as a list of labels or assignees, has traditionally been a cumbersome, multi-step process. Developers would first need to fetch the existing list of data, append the new value locally, and then send the entire modified list back to the server in a second API call.

Pipefy Rolls Out Major GraphQL Update for Batch Processing
Pipefy Rolls Out Major GraphQL Update for Batch Processing 11

Pipefy’s latest GraphQL update directly addresses this inefficiency. The `updateFieldsValues` mutation enables developers to simply instruct the API to add or remove a specific value from an existing list. This applies to various field types, including labels, assignees, connections, and checklists, reducing the number of API calls and simplifying the codebase required for these common operations.

A More Efficient Approach to Data Modification

According to the company’s changelog, the new API mutation consolidates actions, allowing for powerful, combined updates. For example, a developer can now replace a text field’s value while simultaneously adding a new person to an assignee field within the same, single API call. This represents a substantial improvement over the previous one-at-a-time approach, saving time and reducing the potential for errors.

This enhancement highlights the ongoing evolution of GraphQL APIs to provide more powerful and intuitive tools for developers. As servers introduce new capabilities like this, client-side tooling also helps developers keep pace, with commands like `dotnet graphql update` allowing teams to sync their local schema with the latest server-side changes, ensuring they can leverage new features as soon as they are released.

#GraphQLupdate #GraphQLmutation #APIupdate #PipefyAPI #Batchfieldupdates

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