What is working set in MongoDB?

What is working set in MongoDB?

When reading up on MongoDB you’ll most likely run into the word “Working Set”. This is the data that your application is constantly requesting. If your “Working Set” all fits in RAM then all access will be fast as the operating system will not have to swap to and from disk as much.

How do I monitor my MongoDB connections?

You can leverage tools like mongostat and mongotop. Use MongoDB’s built-in free monitoring feature to get information on Operation Execution Times and Operation Counts. Once you connect via compass to your instance, you can use the MongoDB Compass Performance Tab, which is similar to Atlas RealTime Performance panel.

Is MongoDB good for time series?

MongoDB may be a great non-relational document store, but it just isn’t that great for time-series data. So for time-series data with TimescaleDB, you get all the benefits of a reliable relational database (i.e., PostgreSQL) with better performance than a popular NoSQL solution like MongoDB.

What is working set in database?

“Working set” is basically the amount of data AND indexes that will be active/in use by your system. So for example, suppose you have 1 year’s worth of data.

How does MongoDB calculate working set size?

If you are always accessing the last 12 month’s worth of data, then your working set is: 12GB (data) + 12GB (indexes) = 24GB. However, if you actually only access the last 3 month’s worth of data, then your working set is: 3GB (data) + 3GB (indexes) = 6GB.

How many connections can MongoDB handle?

MongoDB configuration Even MongoDB itself has an option to limit the maximum number of incoming connections. It defaults to 64k.

What is the best time series database?

Independent ranking of top 15 time series databases

  • InfluxDB.
  • Kdb+
  • Prometheus.
  • Graphite.
  • TimescaleDB.
  • Apache Druid.
  • RRDTool.
  • OpenTSDB.

Is MongoDB time series DB?

Time Series Data in MongoDB MongoDB is a document-based general purpose database with flexible schema design and a rich query language. As of MongoDB 5.0, MongoDB natively supports time series data.

Is MongoDB good for large 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.

How does MongoDB analyze 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:

Why is working set important?

In other words, the working set strategy prevents thrashing while keeping the degree of multiprogramming as high as possible. Thus it optimizes CPU utilization and throughput.

Can a process have 2 working sets?

Yes, in fact many processors provide two TLBs for this very reason. As an example, the code being accessed by a process may retain the same working set for a long period of time.

How much RAM does MongoDB need?

approximately 1 GB
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.

What is MongoDB pool size?

Most MongoDB drivers support a parameter that sets the max number of connections (pool size) available to your application. The connection pool size can be thought of as the max number of concurrent requests that your driver can service.

What is max pool size in MongoDB?

100 ( maxPoolSize default 100 ) x 4 (application servers) = 400 (incoming connections to each mongod).

What is Mongotop?

Description. mongotop provides a method to track the amount of time a MongoDB instance mongod spends reading and writing data. mongotop provides statistics on a per-collection level. By default, mongotop returns values every second. Run mongotop from the system command line, not the mongo shell.

What is stats in MongoDB?

MongoDB: db. stats() method is used to return a document that reports on the state of the current database. Syntax: db.stats(scale) Parameters: Name. Description.

Which DB is best for financial data?

If you had no concerns about storage costs (managed MongoDB Atlas is a bit pricey), MongoDB is a clear winner for storing end-of-day OHLC data. It has the fastest reads and very good writes and multi-record appends.