


How to update multiple records in one query based on different keys in Mongo?
When using MongoDB, sometimes we need to update multiple records based on different keys, which can be confusing. However, fortunately in MongoDB, we can use the Bulk Write operation to achieve this goal. Bulk Write is a bulk write operation that can perform multiple update, insert, or delete operations in a single operation. In this article, I will introduce you to how to use Bulk Write to update multiple records based on different keys in Mongo.
Question content
If I had something similar to the following...
collection.insertmany(context.todo(), []interface{}{ bson.m{ "_id" : 1, "member" : "abc123", "status" : "p" }, bson.m{ "_id" : 2, "member" : "xyz123", "status" : "a" }, bson.m{ "_id" : 3, "member" : "lmn123", "status" : "p" }, bson.m{ "_id" : 4, "member" : "pqr123", "status" : "d" }, bson.m{ "_id" : 5, "member" : "ijk123", "status" : "p" }, bson.m{ "_id" : 6, "member" : "cde123", "status" : "a" }, } )
Is it possible to apply the following updates in an insertmany query?
[{"_id" : "1", "status" : "P0-A0"}, {"_id" : "2", "status" : "P0-A1"}, {"_id" : "3", "status" : "P0-A2"}, {"_id" : "4", "status" : "P0-A3"}, {"_id" : "5", "status" : "P0-A4"}, {"_id" : "6", "status" : "P0-A5"}]
If so, how would it be done using golang?
Specifically, using collection.updatemany(context.todo(), filter, update)
, what will happen to my filter
and update
?
thanks for your help.
Workaround
You can't do this with a collection.updatemany()
call because you can't match different documents Apply different update documents. You must call collection.updatemany()
multiple times, once for each different update document.
If you want to do this efficiently with a single call, you can use collection.bulkwrite()
. You must prepare a different mongo.writemodel
for each document update.
It might look like this:
wm := []mongo.writemodel{ mongo.newupdateonemodel().setfilter(bson.m{"_id": "1"}).setupdate(bson.m{"$set": bson.m{"status": "p0-a0"}}), mongo.newupdateonemodel().setfilter(bson.m{"_id": "2"}).setupdate(bson.m{"$set": bson.m{"status": "p0-a1"}}), mongo.newupdateonemodel().setfilter(bson.m{"_id": "3"}).setupdate(bson.m{"$set": bson.m{"status": "p0-a2"}}), mongo.newupdateonemodel().setfilter(bson.m{"_id": "4"}).setupdate(bson.m{"$set": bson.m{"status": "p0-a3"}}), mongo.newupdateonemodel().setfilter(bson.m{"_id": "5"}).setupdate(bson.m{"$set": bson.m{"status": "p0-a4"}}), mongo.newupdateonemodel().setfilter(bson.m{"_id": "6"}).setupdate(bson.m{"$set": bson.m{"status": "p0-a5"}}), }
There are too many "repetitions" in the slice literal above, you can use a helper function to capture them:
create := func(id, newstatus string) *mongo.updateonemodel { return mongo.newupdateonemodel(). setfilter(bson.m{"_id": id}). setupdate(bson.m{"$set": bson.m{"status": newstatus}}) } wm := []mongo.writemodel{ create("1", "p0-a0"), create("2", "p0-a1"), create("3", "p0-a2"), create("4", "p0-a3"), create("5", "p0-a4"), create("6", "p0-a5"), }
Also, if there is logic in the update that can be easily defined, use a loop instead of listing all elements:
var wm []mongo.writemodel for i := 1; i <= 6; i++ { newstatus := fmt.sprintf("p0-a%d", i-1) wm = append(wm, mongo.newupdateonemodel(). setfilter(bson.m{"_id": strconv.itoa(i)}). setupdate(bson.m{"$set": bson.m{"status": newstatus}}), ) }
You can perform all updates with a single call like this:
res, err := coll.BulkWrite(ctx, wm)
View related content: mongodb updates the document array and replaces it with the replacement document array
The above is the detailed content of How to update multiple records in one query based on different keys in Mongo?. For more information, please follow other related articles on the PHP Chinese website!

The main differences between Golang and Python are concurrency models, type systems, performance and execution speed. 1. Golang uses the CSP model, which is suitable for high concurrent tasks; Python relies on multi-threading and GIL, which is suitable for I/O-intensive tasks. 2. Golang is a static type, and Python is a dynamic type. 3. Golang compiled language execution speed is fast, and Python interpreted language development is fast.

Golang is usually slower than C, but Golang has more advantages in concurrent programming and development efficiency: 1) Golang's garbage collection and concurrency model makes it perform well in high concurrency scenarios; 2) C obtains higher performance through manual memory management and hardware optimization, but has higher development complexity.

Golang is widely used in cloud computing and DevOps, and its advantages lie in simplicity, efficiency and concurrent programming capabilities. 1) In cloud computing, Golang efficiently handles concurrent requests through goroutine and channel mechanisms. 2) In DevOps, Golang's fast compilation and cross-platform features make it the first choice for automation tools.

Golang and C each have their own advantages in performance efficiency. 1) Golang improves efficiency through goroutine and garbage collection, but may introduce pause time. 2) C realizes high performance through manual memory management and optimization, but developers need to deal with memory leaks and other issues. When choosing, you need to consider project requirements and team technology stack.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

ChooseGolangforhighperformanceandconcurrency,idealforbackendservicesandnetworkprogramming;selectPythonforrapiddevelopment,datascience,andmachinelearningduetoitsversatilityandextensivelibraries.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download
The most popular open source editor