[英]Optimized way to bulk delete operation Mongodb Agregation using Python
I want to delete data from multiple collection based on ids received using match query from aggregation.我想根据使用聚合中的匹配查询接收到的 id 从多个集合中删除数据。
Currently in python i am doing like this but it is taking a lot of time to execute.目前在 python 我正在这样做,但执行起来需要很多时间。
motor
is used使用
motor
data = studentSource.aggregate([
{"$match": {'primary_source.utm_source': source_name}},
{'$project': {'student_id': 1, '_id': 0}}
])
students = [stud async for stud in data]
if len(students) != 0:
for i in range(len(students)):
await studentsPrimaryDetails.delete_many({'_id': students[i]['student_id']})
await studentSecondaryDetails.delete_many({'student_id': students[i]['student_id']})
await studentTimeline.delete_many({'student_id': students[i]['student_id']})
await studentApplicationForms.delete_many({'student_id': students[i]['student_id']})
await queries.delete_many({'student_id': students[i]['student_id']})
await leadsFollowUp.delete_many({'student_id': students[i]['student_id']})
await lead_details.delete_many({'student_id': students[i]['student_id']})
await studentSource.delete_many({'primary_source.utm_source': source_name})
```
Is there any improvement can be done to execute this much faster . Is bulkWrite() useful . But i have to delete data from multiple collection
I second Wernfried Domscheit.我第二个 Wernfried Domscheit。 Delete all matching documents with $in.
删除所有与 $in 匹配的文档。 In Python would be something like this:
在 Python 中会是这样的:
data = studentSource.aggregate([
{"$match": {'primary_source.utm_source': source_name}},
{'$project': {'student_id': 1, '_id': 0}}
])
students = await data.to_list(length=None)
ids = [id for id in set([s.get('student_id') for s in students ]) if id ]
deletes = [
studentsPrimaryDetails.delete_many({'_id': {'$in': ids }}),
studentSecondaryDetails.delete_many({'student_id': {'$in': ids }}),
studentTimeline.delete_many({'student_id': {'$in': ids }}),
studentApplicationForms.delete_many({'student_id': {'$in': ids }}),
queries.delete_many({'student_id': {'$in': ids }}),
leadsFollowUp.delete_many({'student_id': {'$in': ids }}),
lead_details.delete_many({'student_id': {'$in': ids }}),
studentSource.delete_many({'primary_source.utm_source': source_name})
]
await asyncio.gather(*deletes)
asyncio.gather fires all 8 requests in parallel, but depending on the driver's connection pool settings, some may wait for a free socket. asyncio.gather 并行触发所有 8 个请求,但根据驱动程序的连接池设置,有些可能会等待空闲套接字。
You can put the ID's into an array and use the array for condition.您可以将 ID 放入一个数组并使用该数组作为条件。 I have no clue about python, the JavaScript syntax would be this one:
我不知道 python,JavaScript 语法是这样的:
student_ids = db.studentSource.aggregate([
{"$match": {'primary_source.utm_source': source_name}},
{'$project': {'student_id': 1, '_id': 0}}
]).toArray().map( x => x.student_id)
db.studentsPrimaryDetails.deleteMany({'_id': {$in: student_ids }})
db.studentSecondaryDetails.deleteMany({'_id': {$in: student_ids }})
db.studentTimeline.deleteMany({'_id': {$in: student_ids }})
db.studentApplicationForms.deleteMany({'_id': {$in: student_ids }})
db.queries.deleteMany({'_id': {$in: student_ids }})
db.leadsFollowUp.deleteMany({'_id': {$in: student_ids }})
db.lead_details.deleteMany({'_id': {$in: student_ids }})
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