![]() Needless to say this or any other recovery technique should be ideally done in a staging area on a backup copy of the database file. This BSON is a python object now and can be dumped into a recover collection or simply logged somewhere. We will insert 100 documents without a name field and 100 documents with an identical name field so that they can be mistakenly removed later: use dropTest įor(i=0 i db.foo.remove(] The basic logic remains the same.įirst, let's create our example collection foo in the database dropTest. To go beyond this (huge number of documents, or perhaps you wish to only selectively restore etc.) you will either want to change the code to iterate over a cursor or write this using your language of choice outside the MongoDB shell. I will use a simplified example with just 100 deleted documents that need to be restored. Transactions db.leteMany () can be used inside multi-document transactions. Alternatively, use a field that is a part of a unique index such as id. Delete a Single Document To delete a single document, use db.leteOne () instead. ![]() The easiest way to illustrate this is with an example. To remove all documents from a capped collection, use db.collection.drop () instead. How I can delete all the records at once through MongoDB compass. I have some 1000 records in a customer collection. ![]() With an oplog that covers when the documents were inserted, you may be able to recover them. Im very new to MongoDB and MongoDB Compass. With that said however, if you are running a replica set, even a single node replica set, then you have an oplog. There is no rollback option ( rollback has a different meaning in a MongoDB context), and strictly speaking there is no supported way to get these documents back - the precautions you can/should take are covered in the comments.
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