Mongoose v8.13.1 Persistence Issues with Subdocuments and Specific Fields in Next.js/TypeScript Project #15347
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Prerequisites
Mongoose version
18.13.1
Node.js version
22.14.0
MongoDB version
8.0.6
Operating system
Windows
Operating system version (i.e. 20.04, 11.3, 10)
No response
Issue
Summary:
We are experiencing persistent issues in a SaaS project using Mongoose (v8.13.1) where it fails to reliably save or retrieve certain data types, specifically embedded subdocument arrays and occasionally specific string fields, immediately after creation or update operations. This behavior is most pronounced in our Jest test environment using mongodb-memory-server (v10.1.4) but has also been observed for specific fields in the development environment (Dockerized MongoDB). Often, these failures are silent, with Mongoose methods (.save(), .create(), .findById(), .findByIdAndUpdate()) completing without error, but the data is not persisted or returned correctly in the subsequent read/document state. We have implemented several workarounds using the native MongoDB driver, but are seeking insights into the root cause or potential configuration fixes.
Project Context:
Application: A SaaS platform.
Stack:
Frontend/Backend: Next.js (v14.2.26) with API Routes
Language: TypeScript
ODM: Mongoose (v8.13.1)
Database: MongoDB (Docker container for dev, mongodb-memory-server v10.1.4 for tests)
Authentication: next-auth (v4.24.11)
Validation: zod (v3.24.2)
Testing: Jest (v29.7.0), ts-jest, next-test-api-route-handler (v4.0.16)
Detailed Description of Issues:
Subdocument Array Persistence Failure (Model A):
Scenario: Updating a primary model document's embedded array field (e.g., subdocumentArrayField) via a PUT /api/model-a/[id] endpoint.
Problem: Using Mongoose methods like doc.save() or ModelA.findByIdAndUpdate() appeared successful (no errors thrown, logs indicated updates), but the changes to the subdocumentArrayField array were not persisted in the database.
Model: Schema A contains subdocumentArrayField: [SubdocumentSchemaX] where SubdocumentSchemaX is a separate schema definition.
Workaround: Replaced Mongoose update logic with the native MongoDB driver's collection.updateOne() method, which successfully persists the changes.
Subdocument Array Retrieval Failure (Model B - Test Environment):
Scenario: Updating a second model document (e.g., changing status) which involves pushing a new entry to a different embedded array field (e.g., anotherSubdocumentArrayField), within Jest tests using mongodb-memory-server.
Problem: Immediately after an update operation (e.g., doc.save() or ModelB.updateOne()), attempting to read the document back using ModelB.findById() often resulted in the anotherSubdocumentArrayField array being undefined or empty, even though the update operation itself reported success. This prevented adding subsequent entries reliably.
Model: Schema B contains anotherSubdocumentArrayField: [SubdocumentSchemaY].
Workaround: Implemented conditional checks (if (Array.isArray(doc.anotherSubdocumentArrayField))) before attempting doc.anotherSubdocumentArrayField.push(...) in multiple API handlers. This allows the API to function but masks the underlying retrieval issue.
Specific Field Persistence Failure (Model B - String Field):
Scenario: Creating a new instance of Model B via POST /api/model-b or similar admin endpoint. A unique, generated reference string (specificStringField) is created before saving.
Problem: Using Mongoose doc.save() or ModelB.create() consistently failed to persist the generated specificStringField string to the database. Furthermore, Mongoose pre('save') hooks associated with the schema were observed not to run during these operations. This occurred in both development (Docker MongoDB) and test (mongodb-memory-server) environments.
Workaround: Implemented fallback logic in the API handlers. After the Mongoose save()/create() attempt, the code checks if the specificStringField field exists on the resulting document. If not, it uses the native MongoDB driver's collection.updateOne({ _id: doc._id }, { $set: { specificStringField: generatedRef } }) to force persistence. A subsequent findOne is used to ensure the API response includes the reference.
Test Environment Inconsistencies:
Diagnostic Test: A specific test confirmed that Mongoose methods (create, findById) failed to return updated subdocument arrays (anotherSubdocumentArrayField) immediately after creation/update, while equivalent raw driver methods (insertOne, findOne) worked correctly within the same test setup (mongodb-memory-server).
Impact: We have had to comment out numerous direct database state assertions in our Jest tests, relying instead on validating the API response, which incorporates the native driver workarounds. This reduces confidence in the isolated behavior of Mongoose operations within tests.
Other Test Workarounds: Disabling MongoDB transactions in the test environment due to apparent incompatibilities with mongodb-memory-server.
Implemented Workarounds Summary:
Extensive use of native MongoDB driver methods (updateOne, findOne, insertOne) to bypass problematic Mongoose operations (save, create, findById, findByIdAndUpdate).
Conditional checks before accessing potentially unpopulated/unsaved fields/arrays.
Manual construction of API response data instead of relying solely on the state of Mongoose documents post-operation.
Disabling transactions specifically in the test environment (NODE_ENV === 'test').
Removing or commenting out direct database assertions in Jest tests where Mongoose retrieval is unreliable immediately post-write.
Question:
Has anyone encountered similar silent persistence or retrieval issues with Mongoose v8.13.1, particularly concerning subdocument arrays or specific fields, especially in conjunction with Next.js API routes and/or Jest testing with mongodb-memory-server? Are there known bugs, configuration settings (Mongoose, Node.js, TypeScript, Jest, mongodb-memory-server), or potential interactions (e.g., with Next.js hot-reloading, next-auth session handling, async operations) that could explain this behavior? We are looking for insights into the root cause and potentially more robust solutions than the current native driver workarounds.
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