mongodb query performance

MONGDB Performance pressure test, random query, data volume 100 million records Operating system centos6.4x64 bit From the test results, when MongoDB all the data into memory, query speed according to the size of the document, performance bottlenecks are usually in the net

. This method uses the ordered nature of fields and queries to retrieve data, which can directly avoid a large number of data. That is to say, if such a condition can be attached, the query efficiency will be improved. Is it actually like this? Let's verify:Here we assume that we query 100,001st pieces of data, and the Amount value of this data is: 2399927. Let's write two statements as follows: Th

MongoDB-level data Insert, Query, and Delete performance tests (without or without indexing) Let's take a look at the testing machine performance (64bit ): Performance_^ [root @: ~] # Grep"Model name"/Proc/cpuinfo | cut-f2-d: Intel (R) Xeon (R) CPU E5606 @ 2.13 GHz Intel (R) Xeon (R) CPU E5606 @ 2.13 GHz Intel

When $ or and sort () are used in MongoDB, a solution with poor query performance is mentioned in the previous article. when $ or and sort () are used in MongoDB, query performance may be poor. for details, refer to mongodb's plan

In MongoDB, you can use the Db.collection.explain ("executionstats") statement to analyze query performance. Create the table inventory in MongoDB and insert the test data, the initial data in addition to the ID field is not indexed. {"_id": 1, "item": "F1", type: "Food", quantity:500} {"_id": 2, "item": "F2", type:

This article introduces how to use $ or and sort () to query performance analysis in MongoDB. If you need it, let's take a look at it. If you don't design thousands of records for your website, the server will be stuck. The Code is as follows: Copy code Mongos> db. find ({"user": "jhon"}). sort ({"name ":1}). limit (100). explain (){"Curso

The explain () cursor Method for Analyzing query performance allows you to observe the operations performed by the query system. This method is very useful for analyzing efficient queries and deciding how to use indexes for queries. This method detects the query operation, rather than the

third query, $ or is used separately, and the performance is good. Later in the official forum to ask a question, learned that there is a bug: https://jira.mongodb.org/browse/SERVER-1205 It will be modified in the future. Record it today. Forum reply: I believe the issue you are running into is expressed in this JIRATicket: https://jira.mongodb.org/browse/SERVER-1205 I believe the

to say, about the introduction of information, installation and other please pull to the end of the article, I attached some information, later if necessary to share. This article focuses on MongoDB paged query, why? Paging is a common killer, bad, customer scold, manager scold.Traditional SQL PagingTraditional SQL paging, all the solutions are almost row_number, for the needs of a variety of sorting, comp

The code is as follows Copy Code Mongos> Db.find ({"User": "Jhon"}). Sort ({"Name":1}). Limit. Explain (){"Cursor": "Btreecursor user_1","nscanned": 10100,"Nscannedobjects": 10100,"N": 100,"Scanandorder": true,"Millis": 116,"Nyields": 0,"Nchunkskips": 0,"Ismultikey": false,"Indexonly": false,"Indexbounds": {"User": [["Jhon","Jhon"]]}} Second, I do $or query with sort ():Mongos> Db.find ({"$or": [{"User": "Jhon"}, {"Owner":"Jhon"}]}).

Label:This article focuses on the paging query of MongoDB Traditional SQL Paging Traditional SQL paging, all the solutions are almost row_number, for the needs of a variety of sorting, complex query scenarios, Row_number is the killer. In addition, for the current web is very popular Poll/push load paging way, generally use time stamp to achieve paging. These two

Analyze Query Performancethe Explain () cursor method allows you to observe the operations performed by the query system. This method is useful for analyzing efficient queries and determining how indexes are used for querying. This method detects the operation of the query, not the query execution time. Because this m

Label:Traditional SQL PagingTraditional SQL paging, all the solutions are almost row_number, for the needs of a variety of sorting, complex query scenarios, Row_number is the killer. In addition, for the current web is very popular Poll/push load paging way, generally use time stamp to achieve paging. These two kinds of paging can be said that the former is universal, even LINQ generated by the paging is row_number, it is conceivable that it is more v

Learning MongoDB 6: MongoDB query (cursor operation, cursor information) (3), mongodb cursorI. Introduction Db. collection. find () can be used to query based on conditions and specify fields returned using the projection operator to omit this parameter to return all fields

MongoDB Practice Notes for beginners-install, create databases, save and query data, and learn mongodb MongoDB is a scalable and High-Performance Distributed Document storage database written in C. It is designed to provide scalable and high-