mongodb | MongoDB Operator for Kubernetes | SQL Database library
kandi X-RAY | mongodb Summary
kandi X-RAY | mongodb Summary
The MongoDB operator provides a managed service like experience for MongoDB replica sets on any Kubernetes cluster. MongoDB is an open-source, document database designed for ease of development and scaling. This repository holds the source and is the right place if you want to contribute to the operator. If you want to try the operator please head over to the MongoDB operator on Kubestack.
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Top functions reviewed by kandi - BETA
- Event listener for MongoDB objects
- Create a cluster
- Switch cluster attributes
- Creates an admin secret secret
- Run periodic checks
- Return a list of MongoDB objects
- Update a service
- Check if existing cluster exists
mongodb Key Features
mongodb Examples and Code Snippets
Community Discussions
Trending Discussions on mongodb
QUESTION
{'question1.': 'no', 'question2.': 'no.'}
Future exception was never retrieved
future:
ANSWER
Answered 2021-Jun-15 at 17:13Short answer: You can't.
It was possible in MongoDB version <= 3.6 where there was an option to bypass the validation completely using the check_keys=False option. But this option is deprecated ever since.
Although MongoDB has bypass_document_validation=True in newer versions, it won't bypass the . character for obvious reasons.
There is an open issue regarding this on JIRA (SERVER-30575) and it is still open. Also, the PyMongo specific issue related to this was raised once PYTHON-1522.
So until the SERVER-30575 issue fixed, you have no other choice.
I would suggest you rearrange your schema design to embed the key name as a value to a different key.
Something like this:
QUESTION
This is an extension of the below question.
I have a collection where each document contains 2 arrays as below.
...ANSWER
Answered 2021-Jun-15 at 09:16This may not be as generic but will push you in the right direction. Consider using the operators $mergeObjects to merge the filtered document from the priv_users array with the document in users.
Filtering takes the $substr of the priv_users name field and compares it with the users name field. The resulting pipeline will be as follows
QUESTION
I'm currently building an etl pipeline that pulls data from large oracle tables to mongodb, i want to know exactly what's the difference between JdbcCursor Item reader and Jdbc Paging item reader. which one of them is best suited for large tables. are they thread safe ?
...ANSWER
Answered 2021-Jun-15 at 09:05JdbcCursorItemReader uses a JDBC cursor (java.sql.ResultSet) to stream results from the database and is not thread-safe.
JdbcPagingItemReader reads items in pages of a configurable size and is thread-safe.
QUESTION
I'm working on backup solutions for mongodb instances using percona backup manager.
When I do pbm list if the PITR option is enabled, I get the output for snapshot and oplog slice ranges.
Is there a way to determine which oplog slice range belongs to which backup from the output programmatically so that I can associate an oplog slice range to a snapshot.
...ANSWER
Answered 2021-Jun-15 at 07:35Slice always starts =>(greater than equal) of full snapshot time and <(less than) next full snapshot.
for example 2020-12-14T14:26:20Z [complete: 2020-12-14T14:34:39] for this backup PITR(Slice) is 2020-12-14T14:26:40 - 2020-12-16T17:27:26
if you want to restore then first restore 2020-12-14T14:26:20Z [complete: 2020-12-14T14:34:39] then apply 2020-12-14T14:26:40 - 2020-12-16T17:27:26 this slice and you'll get data till 2020-12-16T17:27:26
You can get more details here https://www.percona.com/doc/percona-backup-mongodb/point-in-time-recovery.html
QUESTION
transform file/directory structure into 'tree' in vue json
I have an array of objects that looks like this:
...ANSWER
Answered 2021-Jun-11 at 09:55EDIT
Here is the full implementation, based upon my initial answer. I changed the forEach() into map() as it is more suitable in this case.
QUESTION
Hey, I am working on putting up a rocket rest api with a mongodb database.
I have been able to create a successful connection to the MongoDB Atlas and put the resulting client into the state management of rocket via the manage builder function like this:
ANSWER
Answered 2021-Jun-14 at 20:39This has been resolved. See above for the solution. It is marked with a header saying solution.
QUESTION
Background
After some struggle I have managed to create a cluster for Amazon DocumentDb. Now I want to write a simple python class that when instantiated returns a client connection and allows me to insert a document. Upon completion of inserting document it closes connection safely.
After some more struggle I managed to get the following to work.
MY CODE
...ANSWER
Answered 2021-Jun-14 at 19:06Without seeing the rest of your code, and only using your code as closely as possible, I came up with this for you:
QUESTION
I had a problem.
When i create map in MongoDB Example Shop
...ANSWER
Answered 2021-Jun-14 at 18:31The problem is MongoDB uses BSON format for storing documents. And it does not support Map objects now. There is an open issue to to add functionality close to what you're looking for. But as for now it's not implemented.
You may write your own deserializer to restore your Map object. After getting the document from the DB you'll have to transfrom certain properties into corresponding entities. Map in your case. Something like:
QUESTION
I have a react application (Node back end) running on Heroku (free option) connecting to a MongoDB running on Atlas (also free option). When I connect the application from my local machine to the Atlas DB all is fine and data retrieved (all 108 K records) in about 10 seconds, smaller amounts (4-500 records) of data in much less time. The same request from the application running on Heroku to the Atlas DB fails. The application running on Heroku can retrieve a small number of records (1-10) from the same collection of (108 K records), in less than a second. As soon as I try to retrieve a couple of hundred records the system fails. Below are the logs. I included the section of the logs that show a successful retrieval of 1 record and then failing on the request for about 450 records.
I have three questions:
- What is the cause of the issue?
- Is there a work around in the free option of Heroku?
- If there is no work around in the free option, what Heroku pay level will I need to get to and what steps will I need to take to get this working? I will probably upgrade in the future but want to prove all is working before going in that direction.
Logs:
...ANSWER
Answered 2021-Jun-14 at 18:09You're running out of heap memory in your node server. It might be because there's some statement that uses a lot of memory. You can try to find that or you can try to increase node memory like this.
QUESTION
i want to increment a variable located in a subobjcetc of a mongodb database.
This is my code:
...ANSWER
Answered 2021-Jun-14 at 17:52You can create a new object and put that in MongoDB query, For example:
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Install mongodb
You can use mongodb like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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