Find multiple conditions using $and operator $or Operator in MongoDBĪccording to the requirements, you can use this operator in methods like find(), update(), etc.Find multiple conditions using $or operator.But first, let’s look at the table of contents for this article. MongoDB provides the user with different logical query operators, $or and $and operators are one. $and and $or operators are explained briefly with examples of each. This article will teach you how to query with multiple conditions using multiple documents in MongoDB. Find Multiple Conditions Using the $and Operator.Find Multiple Conditions Using the $or Operator.5 Things You Must Know About Building a Reliable Express.Introduction to TCP Connection Establishment for Software Developers.How to Use Project in Mongodb Aggregation Pipeline.5 Tiny Developer Workflow Tips to Improve Your Productivity.Learn How to Use Group in Mongodb Aggregation Pipeline (With Exercise). If you enjoyed this article, you will like the other ones: If you feel there's anything missing or can be better explained, I would love to know your thoughts in the comments down below □. For even slightly complex scenarios, use $match. If you just want to fetch the data, find is convenient. To summarize, using $match or find() is completely dependent on your use-case. find, understood the query plans and the use-cases for both operations. We looked at the performance (in)difference in match vs. This was a brief explainer on the differences between the find operation and match stage. It abstract away the nuances and provides a clean & concise way of getting the right insights out of your data. Finally, iterate over the results of step #2 again to collect the final results with rating greater than 7.Īs you would have observed, aggregation pipeline is very useful in complex scenarios like this.Iterate through all the entries and store the lowest movie rating for every given release year,.Perform a find operation to fetch ALL the data,.How can we implement the same with a find operation? Let's brainstorm: Here's how a document of our sample shipwrecks collection looks like: We will execute match and find on the same collection (and thus, same indexes). We have a sample dataset hosted on the free tier of Atlas Cloud for the purpose of this comparison. Let's try to perform both of these operations on a same dataset to see for ourselves. There are a lot discussion in the community regarding the speed differences of match stage vs a simple find operation for fetching data. It can be used independently, outside of an aggregation pipeline and it has no such restrictions as the $match stage has. Only the matched documents proceed to the next stage of the aggregation pipeline.įind operation on the other hand, is completely opposite. It filters the documents in a collection against a set of conditions.It can be used in an aggregation pipeline.Here are some of the things that $match stage is capable of: □ Working examples using both operationsīefore we jump into the benchmarking and take decision on what is the right approach for reading data, let's look at some of the basic differences in both the operations.
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