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Mongodb Query Performance? The 19 Top Answers

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Performance. Because the index contains all fields required by the query, MongoDB can both match the query conditions and return the results using only the index. Querying only the index can be much faster than querying documents outside of the index.How fast are MongoDB queries? Pretty darn fast. Primary key or index queries should take just a few milliseconds. Queries without indexes depend on collection size and machine specs, etc.Indexes also improve efficiency on queries that routinely sort on a given field. Because MongoDB can read indexes in both ascending and descending order, the direction of a single-key index does not matter. Indexes support queries, update operations, and some phases of the aggregation pipeline.

How to Conduct MongoDB Query performance Analysis?
  1. The cursor. explain(“executionStats”) and the db. …
  2. For further information, you can visit db. …
  3. To view the query plan selected, you can chain the cursor.explain(“executionStats”) cursor method to the end of the find command:
  4. The explain() returns the following results:
Mongodb Query Performance
Mongodb Query Performance

Table of Contents

How fast are MongoDB queries?

How fast are MongoDB queries? Pretty darn fast. Primary key or index queries should take just a few milliseconds. Queries without indexes depend on collection size and machine specs, etc.

Can we run query efficiently in MongoDB?

Indexes also improve efficiency on queries that routinely sort on a given field. Because MongoDB can read indexes in both ascending and descending order, the direction of a single-key index does not matter. Indexes support queries, update operations, and some phases of the aggregation pipeline.

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Tips and Tricks for Query Performance: Let Us .explain() Them

Tips and Tricks for Query Performance: Let Us .explain() Them
Tips and Tricks for Query Performance: Let Us .explain() Them

Images related to the topicTips and Tricks for Query Performance: Let Us .explain() Them

Tips And Tricks For Query Performance: Let Us .Explain() Them
Tips And Tricks For Query Performance: Let Us .Explain() Them

How does MongoDB measure query performance?

How to Conduct MongoDB Query performance Analysis?
  1. The cursor. explain(“executionStats”) and the db. …
  2. For further information, you can visit db. …
  3. To view the query plan selected, you can chain the cursor.explain(“executionStats”) cursor method to the end of the find command:
  4. The explain() returns the following results:

Is MongoDB slower than SQL?

MongoDB offers faster query processing but with an increased load and system requirements. Without knowing the purpose of use, it is not possible to classify SQL Databases or NoSQL Databases like MongoDB as better or worse than the other. There are various factors that drive the MongoDB vs SQL decision.

Is MongoDB query faster than MySQL?

MongoDB is faster than MySQL due to its ability to handle large amounts of unstructured data when it comes to speed. It uses slave replication, master replication to process vast amounts of unstructured data and offers the freedom to use multiple data types that are better than the rigidity of MySQL.

Is MongoDB faster than SQL Server?

Key Differences Between MongoDB and SQL Server

MongoDB is more fast and scalable in comparison to the SQL server. MongoDB doesn’t support JOIN and Global transactions but the SQL server supports it.

Can MongoDB handle millions of records?

Working with MongoDB and ElasticSearch is an accurate decision to process millions of records in real-time. These structures and concepts could be applied to larger datasets and will work extremely well too.


See some more details on the topic mongodb query performance here:


Handling Slow Queries in MongoDB – Part 2: Solutions – Rockset

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How to Improve MongoDB Performance | by Vladimir Topolev

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Where is slow query in MongoDB?

One can identify slow queries in MongoDB by enabling the profiler and configuring it to its some specifications or executing db. currentOp() on a running mongod instance. By looking at the time parameters on the returned result, we can identify which queries are lagging.

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Why is MongoDB so fast?

MongoDB is fast™ because:

Asynchronous insert and update: What it means is, MongoDB doesn’t insert the data to DB as soon as insert query is processed but it flushed the data after certain amount of time. Same is true for updates.

How do I query a large amount of data in MongoDB?

Show activity on this post.
  1. Create Right indices and carefully use compound index. ( …
  2. Use mongo side pagination.
  3. Try to find out most used queries and build compound index around that.
  4. Compound index strictly follow sequence so read documentation and do trials.
  5. Also try covered query for ‘summary’ like queries.

How do I enable slow query log in MongoDB?

MongoDB slow query log profiling is easy using db. setProfilingLevel(). Enable slow query log mongoDB Profiling for logging for slow query with your threshlold time.

2. Syntax of Profiling MongoDB
  1. Level 0 : the profiler is off, does not collect any data. …
  2. Level 1 : Log profiling data for slow operations only.

How query is defined in MongoDB?

The $explain operator provides information on the query plan. It returns a document that describes the process and indexes used to return the query. This may provide useful insight when attempting to optimize a query. For details on the output, see cursor.


MongoBD : How to improve performance of query

MongoBD : How to improve performance of query
MongoBD : How to improve performance of query

Images related to the topicMongoBD : How to improve performance of query

Mongobd : How To Improve Performance Of Query
Mongobd : How To Improve Performance Of Query

Why you should not use MongoDB?

One of the downsides of MongoDB is that it doesn’t support transactions. Though fewer and fewer applications are requiring transactions, there are still some that need transactions in order to update multiple documents/collections. If that’s a necessary function for your team, MongoDB should not be used.

Which database is fastest?

Cassandra is arguably the fastest database out there when it comes to handling heavy write loads. Linear scalability. That is, you can keep adding as many nodes to a cluster as you want, and there will be a zero increase in complexity or brittleness of the cluster.

Is MongoDB slower than MySQL?

In the MySQL vs. MongoDB speed debate, MongoDB usually comes out as the winner. MongoDB can accept large amounts of unstructured data much faster than MySQL thanks to slave replication and master replication. Depending on the types of data that you collect, you may benefit significantly from this feature.

How much RAM does MongoDB need?

MongoDB requires approximately 1 GB of RAM per 100.000 assets. If the system has to start swapping memory to disk, this will have a severely negative impact on performance and should be avoided.

Is MongoDB faster than MariaDB?

Here are the key differences between MariaDB and MongoDB: MongoDB may be the more popular of the two, but MariaDB benefits from better performance, security, and availability. It also works in other databases and is based on columns.

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Does Facebook use MongoDB?

When a user logs in, Facebook provides MongoDB Realm with an OAuth 2.0 access token for the user. Realm uses the token to identify the user and access approved data from the Facebook API on their behalf. For more information on Facebook Login, see Facebook Login for Apps .

Why do we use MongoDB over SQL?

SQL databases are used to store structured data while NoSQL databases like MongoDB are used to save unstructured data. MongoDB is used to save unstructured data in JSON format. MongoDB does not support advanced analytics and joins like SQL databases support.

Which one is faster SQL or NoSQL?

As for speed, NoSQL is generally faster than SQL, especially for key-value storage in our experiment; On the other hand, NoSQL database may not fully support ACID transactions, which may result data inconsistency.

What are the advantages of MongoDB?

Advantages of MongoDB
  • Full cloud-based application data platform.
  • Flexible document schemas.
  • Widely supported and code-native data access.
  • Change-friendly design.
  • Powerful querying and analytics.
  • Easy horizontal scale-out with sharding.
  • Simple installation.
  • Cost-effective.

Is MongoDB for big data?

MongoDB is best suited for Big Data where resulting data need further manipulations for the desired output. Some of the powerful resources are CRUD operations, aggregation framework, text search, and the Map-Reduce feature.


Optimizing MongoDB Query Performance

Optimizing MongoDB Query Performance
Optimizing MongoDB Query Performance

Images related to the topicOptimizing MongoDB Query Performance

Optimizing Mongodb Query Performance
Optimizing Mongodb Query Performance

How big can MongoDB collections get?

MongoDB is happy to accommodate large documents of up to 16 MB in collections, and GridFS is designed for large documents over 16MB. Because large documents can be accommodated doesn’t mean that it is a good idea.

How many GB is million rows?

So, 1 million rows of data need 87.4MB.

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