Aziz Mirzayev
Xozirch Integration testlarini yozib bo'ldim. Bugun bitta muammo chiqdi. Mongodbda auto transaction by default ishlamasakan. Misol db contextga 1 dan ko'p entity change qilinsa xato beryapti. Xozircha Database.AutoTransactionBehavior = AutoTransactionBehavior.Never;…
This setting (Database.AutoTransactionBehavior = AutoTransactionBehavior.Never) in EF Core when working with MongoDB (or any non-transactional provider) is not just a toggle — it has important caveats. Let’s go deep into what this means, why it exists, and the potential issues you should watch out for.
⸻
🔎 What AutoTransactionBehavior Does
In EF Core (SQL providers like SQL Server, PostgreSQL, etc.):
• By default, SaveChanges wraps your operations inside a transaction if one isn’t already active.
• This ensures atomicity: either all changes succeed, or none are committed.
MongoDB is different:
• MongoDB doesn’t use EF’s transaction system natively.
• Transactions exist in MongoDB only for replica sets and sharded clusters (introduced in MongoDB 4.0), and even then EF Core providers may not fully integrate with them.
• So the EF Core MongoDB provider often disables transaction wrapping by default or allows you to set this explicitly.
⸻
⚠️ Potential Issues When Using AutoTransactionBehavior.Never
1. Loss of Atomicity
• SQL DB: if you call SaveChanges on 5 entities and the 3rd insert fails → all inserts roll back.
• MongoDB + Never: each document is sent individually; if the 3rd fails → the first 2 stay written.
👉 This leaves your DB in a partially saved state, inconsistent with your domain model.
⸻
2. Concurrency Issues
• Without a transaction, if multiple processes/threads update related documents at the same time, you can get:
• Lost updates (last writer wins).
• Race conditions (e.g., two services decrementing stock, both reading the same old value, then writing incorrect new values).
• Normally EF Core’s transaction would serialize this, but Never disables that safeguard.
⸻
3. Cross-Collection Inconsistencies
• Example: You create an Order and related OrderItems.
• With Never, if Order inserts succeed but OrderItems fail → orphaned data.
• MongoDB doesn’t enforce foreign keys, so cleanup is manual.
⸻
4. No Retry on Failure
• SQL providers + EF Core transactions can be retried as a unit if transient errors occur.
• With Never, MongoDB inserts/updates might fail in the middle, requiring you to implement your own retry + compensation logic.
⸻
5. Eventual Consistency Surprises
• If your app logic assumes that after SaveChanges the DB is in a valid, fully persisted state, that assumption is broken.
• For example:
• Service A: Saves Product and Inventory documents.
• Service B: Immediately queries both.
If Inventory failed to persist, Service B sees half-saved state.
⸻
6. Harder Unit of Work Semantics
• EF Core’s DbContext is supposed to represent a unit of work.
• With Never, SaveChanges no longer guarantees atomic unit-of-work behavior.
• That undermines the DDD principle of aggregate consistency.
⸻
7. Provider-Specific Transaction Support Gaps
• MongoDB does support multi-document transactions on replica sets/shards, but:
• Not all EF Core MongoDB providers implement them.
• If they do, you must use AutoTransactionBehavior.WhenNeeded or explicit BeginTransaction().
👉 By forcing Never, you guarantee transactions are never used, even where they are possible.
⸻
8. Debugging & Error Recovery Complexity
• Example: A batch update fails mid-way.
• With transactions, you know nothing changed → just retry.
• With Never, you must:
1. Detect which documents succeeded.
2. Roll back manually or compensate forward.
3. Handle side effects (like external events fired for already-saved docs).
⸻
✅ When is Never Safe/Useful?
You might want this if:
• Your operations are idempotent (safe to repeat).
• Each document is independent (no strong relationships).
• You rely on MongoDB’s natural eventual consistency model.
• Performance matters more than strict atomicity (skipping transactions can be faster).
⸻
🧩 Best Practices if You Must Use Never
1. Design for Idempotency
E.g., if inserting PaymentHistory, use natural/document IDs that prevent duplicates if retried.
2. Apply Outbox Pattern for event publishing so half-saved states don’t fire inconsistent domain events.
3.
⸻
🔎 What AutoTransactionBehavior Does
In EF Core (SQL providers like SQL Server, PostgreSQL, etc.):
• By default, SaveChanges wraps your operations inside a transaction if one isn’t already active.
• This ensures atomicity: either all changes succeed, or none are committed.
MongoDB is different:
• MongoDB doesn’t use EF’s transaction system natively.
• Transactions exist in MongoDB only for replica sets and sharded clusters (introduced in MongoDB 4.0), and even then EF Core providers may not fully integrate with them.
• So the EF Core MongoDB provider often disables transaction wrapping by default or allows you to set this explicitly.
⸻
⚠️ Potential Issues When Using AutoTransactionBehavior.Never
1. Loss of Atomicity
• SQL DB: if you call SaveChanges on 5 entities and the 3rd insert fails → all inserts roll back.
• MongoDB + Never: each document is sent individually; if the 3rd fails → the first 2 stay written.
👉 This leaves your DB in a partially saved state, inconsistent with your domain model.
⸻
2. Concurrency Issues
• Without a transaction, if multiple processes/threads update related documents at the same time, you can get:
• Lost updates (last writer wins).
• Race conditions (e.g., two services decrementing stock, both reading the same old value, then writing incorrect new values).
• Normally EF Core’s transaction would serialize this, but Never disables that safeguard.
⸻
3. Cross-Collection Inconsistencies
• Example: You create an Order and related OrderItems.
• With Never, if Order inserts succeed but OrderItems fail → orphaned data.
• MongoDB doesn’t enforce foreign keys, so cleanup is manual.
⸻
4. No Retry on Failure
• SQL providers + EF Core transactions can be retried as a unit if transient errors occur.
• With Never, MongoDB inserts/updates might fail in the middle, requiring you to implement your own retry + compensation logic.
⸻
5. Eventual Consistency Surprises
• If your app logic assumes that after SaveChanges the DB is in a valid, fully persisted state, that assumption is broken.
• For example:
• Service A: Saves Product and Inventory documents.
• Service B: Immediately queries both.
If Inventory failed to persist, Service B sees half-saved state.
⸻
6. Harder Unit of Work Semantics
• EF Core’s DbContext is supposed to represent a unit of work.
• With Never, SaveChanges no longer guarantees atomic unit-of-work behavior.
• That undermines the DDD principle of aggregate consistency.
⸻
7. Provider-Specific Transaction Support Gaps
• MongoDB does support multi-document transactions on replica sets/shards, but:
• Not all EF Core MongoDB providers implement them.
• If they do, you must use AutoTransactionBehavior.WhenNeeded or explicit BeginTransaction().
👉 By forcing Never, you guarantee transactions are never used, even where they are possible.
⸻
8. Debugging & Error Recovery Complexity
• Example: A batch update fails mid-way.
• With transactions, you know nothing changed → just retry.
• With Never, you must:
1. Detect which documents succeeded.
2. Roll back manually or compensate forward.
3. Handle side effects (like external events fired for already-saved docs).
⸻
✅ When is Never Safe/Useful?
You might want this if:
• Your operations are idempotent (safe to repeat).
• Each document is independent (no strong relationships).
• You rely on MongoDB’s natural eventual consistency model.
• Performance matters more than strict atomicity (skipping transactions can be faster).
⸻
🧩 Best Practices if You Must Use Never
1. Design for Idempotency
E.g., if inserting PaymentHistory, use natural/document IDs that prevent duplicates if retried.
2. Apply Outbox Pattern for event publishing so half-saved states don’t fire inconsistent domain events.
3.
Aziz Mirzayev
Xozirch Integration testlarini yozib bo'ldim. Bugun bitta muammo chiqdi. Mongodbda auto transaction by default ishlamasakan. Misol db contextga 1 dan ko'p entity change qilinsa xato beryapti. Xozircha Database.AutoTransactionBehavior = AutoTransactionBehavior.Never;…
Use Compensating Actions: If Order fails, delete any saved OrderItems, or mark Order as “incomplete.”
4. Limit SaveChanges Scope: Save only one aggregate root per SaveChanges call to reduce risk.
5. Enable Application-Level Transactions: Wrap SaveChanges in custom logic that ensures consistency across documents.
⸻
🔑 Bottom Line
Setting Database.AutoTransactionBehavior = AutoTransactionBehavior.Never in EF Core MongoDB:
• Removes EF’s guarantee of atomicity.
• Exposes you to partial saves, race conditions, and inconsistencies.
• Makes you responsible for implementing consistency, rollback, and retry logic manually.
• Only safe if your model and operations are naturally idempotent or single-document focused.
4. Limit SaveChanges Scope: Save only one aggregate root per SaveChanges call to reduce risk.
5. Enable Application-Level Transactions: Wrap SaveChanges in custom logic that ensures consistency across documents.
⸻
🔑 Bottom Line
Setting Database.AutoTransactionBehavior = AutoTransactionBehavior.Never in EF Core MongoDB:
• Removes EF’s guarantee of atomicity.
• Exposes you to partial saves, race conditions, and inconsistencies.
• Makes you responsible for implementing consistency, rollback, and retry logic manually.
• Only safe if your model and operations are naturally idempotent or single-document focused.
5 oʻrin oldi mani komandam. Lekin zoʻr boʻldi. 1 martta AWS da ishlashim edi.
https://www.mongodb.com/company/blog/building-with-patterns-the-extended-reference-pattern
Mana shu yaramasni o'qiganimda o'zim bn o'zim 2 hafta olishmasdim MongoDBni tanlashda =)
Mana shu yaramasni o'qiganimda o'zim bn o'zim 2 hafta olishmasdim MongoDBni tanlashda =)
👍1
Bugun rosa qiziq kun bo'ldi. Face detection va face analysis bo'yicha eksperimentlar o'tqazdim. Aaancha bo'lganakan bunaqa ilmiy yondashuv qilmaganimga. Mazza qvordim lekin =)
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