mongodb query performance

Discover mongodb query performance, include the articles, news, trends, analysis and practical advice about mongodb query performance on alibabacloud.com

"MongoDB tutorial 19th" PHP and MongoDB conditional query

Tags: io ar strong SP data on CTI BS newSimilar to the normal relational database, when the data is deleted, changed, check, you will use the query conditions, such as the Where in MySQL ...In MongoDB, all the instructions that have been made by PHP are wrapped in arrays:Mongocollection::update ( array $criteria , array $newobj [, array $options = Array ()])Public Mongocursor Mongocollection::find ([ Array

MongoDB Slow Query record

MongoDB slow query record in MySQL, the slow query log is often used as the basis for us to optimize the database, is there a similar function in MongoDB? The answer is yes, that's MONGO database. Profiler. Not only, but there are some more detailed information than the MySQL slow

MongoDB involves a slow business--Slow query optimization analysis case--and parameter description

Description: The optimization case is to express the meaning of the individual parameters, combining the analysis of the business with the logical implementation, and how to create the index and column order is selected (no longer described here)Environment Description :MongoDB version 3.0.9, replica set 3 node, memory 64g,cpu core, disk 2TB SSD, using WT storage engine ...The amount of data in this table is more than 260 million.The general analysis

YCSB Testing Mysql,mongodb,tokumx,couchbase Performance

The test is done by a colleague, and this is just a collection. Test Description: 1, the amount of data is 3kw records, 11 fields per record, a primary key, the key is a character type, similar to: user****, followed by the value of the other 10 fields for the character type, 100 characters, the record length of about 1KB2, using YCSB for stress testing. Specific types of reference to the previous documents 3, 30 million data, to the current database can be cached into the db (subsequent test ca

In YII2, which one of the main performance can be improved by using yii2-mongodb?

In YII2, which one of the main performance can be improved by using yii2-mongodb? In YII2, which one of the main performance can be improved by using yii2-mongodb? Reply content: In YII2, which one of the main performance can be improved by using yii2-

Spring jdbctemplate query method query to improve system performance

Recently, the system has a function to print purchase orders. After multiple copies are printed consecutively, the host goes down and the implementation of the service and Dao layers is complex, it is estimated that the main cause is that when the group page data is collected, the loop causes the efficiency to decrease. Then, think about how to reduce some object conversions during the group data. The Dao layer obtains the map, then we need to convert it to VO, and then recyclically group the da

Implement Group query for MongoDB under the same vue

We know that MongoDB is a non-relational database, so its query method is very different from the standard Structured Query Language SQL. But no matter how complicated it is, when it passes through the developer's hands, it can only become the structure that the customer wants. Today, we are going to talk about how to query

MongoDB Advanced-Correlation query

Tags: blog http io os using java ar for file"Suzhou needs to work to add me QQ, the introduction of fee-splitting" MongoDB advanced1. Database commandsA. How the command worksDrop command to delete a collection in the shell and Execute Db.refactor.drop (). Actually, this function actually runs the drop command,You can use RunCommand to achieve the same effect:Db.runcommand ({"Drop": "Refactor"}){"Nindexeswas": 1, "MSG": "Indexes dropped for collection

How to implement PHP query data from MongoDb

I. Software environment (version not required) PHP v5.6 extension: MongoDB nginx v1.11 MongoDB v3.2Note: MongoDB extensions must be installedIi. Connection $client = new Mongoclient ($server, $option);$server variable is a string that describes the server to which you want to connectMongodb://[username:[email protected]]host1[:p ort1][,host2[:p ort2:],...] /dbIt

Mongodb Array Query

Inserting more than one test data> for (i=1;i... db.blog.insert ({"title": I, "content": "MongoDB Test article. "," name ":" Liu "+i});... }Db.blog.list.find (). Limit ((). ForEach (function (data) {print ("title:" +data.title);}) Cyclic foreach usageDb.blog.findOne (); Fetch a piece of dataDb.blog.find (); take more than one dataDb.blog.remove (); Delete a data setDb.blog.drop (); Delete tableTo delete a database:1.use dbname2.db.dropdatabase ()=====

50 Query Series-13th query: The "SC" table in the "cotyledons" teacher taught the results of the class are changed to the average performance of this course;

UPDATETblscoreSETTblscore. Score=(--Here we start with the average of cotyledons.SELECT AVG(TT.AA) from (SELECTTblscore. Score AA fromTblscoreWHERETblscore. CourseID=( SELECTTblcourse. CourseID fromTblcourseWHERETblcourse. CourseID=(SELECTTblteacher. Teaid fromTblteacherWHERETblteacher. Teaname='cotyledons')) TT--figure out the average of cotyledons courses ) WHERETblscore. CourseID= (SELECTTblcourse. CourseID fromTblcourseWHERETblcourse. CourseID=(SELECTTblteacher. Teaid fromTblteacherWHERE

MongoDB Query and insert operations

example, querying ageDb.users.find ({age:{$lt: ()}) Db.users.find ({age:{$gt:()})Db.users.find ({age:{$lte:]}) Db.users.find ({age:{$gte:22}})1.3 The logical OR operator is represented using $or, and the format is{$or: [{For example, querying all the user age=21 or age=22Db.users.find ({$or: [{age:21},{age:22}]})1.4, the logic and operator use ",", or $and, the format is{$and: [{For example, the query name is "T1" and all the user age=21Db.users.find

MongoDB simple query

I have been idle for a while recently, and I have been able to spend enough time studying code integration. Because there are too many linguistics, I gradually feel that it is meaningless. I learned a little from other groups using MongoDB. In view of this quick start, because the foundation is not very reliable, it will always be forgotten. Looking at the MongoDB authoritative guide, although it is in Engl

Questions about MongoDB query (1)

This article is a blog post from MongoDB core developer @ kchodorow. It is the first article about MongoDB query puzzles. It introduces some query rules and usage of range query in Array through several examples. Assume that a Collection contains the following data: {x:-5} {

How to optimize the performance of MongoDB (five simple Steps) _mongodb

MongoDB has been the most popular NoSQL, and according to Db-engines ranking the latest ranking, now MongoDB has defeated PostgreSQL leaped to the fourth place in the database ranking, after Oracle, MySQL and Microsoft SQ L Server, this article summarizes how to MongoDB performance tuning. Have you ever encountered

"MongoDB" the Regex Expression query of MongoDB

In the past-blogs, the topic mainly focus on the high query operation of MongoDB. In this blog, we simply study the regex expression in the mongdb. MongoDB also support the Regex query. For exampleThe expression is also able to combination with other expression.Notes:/^a/; /^a.*/; /^a.*$/has the same result, however th

Group Group query for MongoDB implemented under Mongovue

We know that MongoDB is a kind of relational database, so its query method is very different from the standard Structured Query language SQL. But no matter how complicated a structure it is, when it passes through the developer's hands, it only becomes the structure that the customer wants. Today is about how to MongoDB

MongoDB BASICS (add, delete, modify, and query)

MongoDB BASICS (add, delete, modify, and query) 1. Insert The insert Statement of MongoDB is in the following format: db.collection.insert(document) Document is the document data, and collection is the collection of document data. If the collection exists, the document will be added to the collection directory. If the collection does not exist, the database will

Comparison between SQL Cartesian product query and correlated query performance

andb.st_id=d.st_id andc.dep_id=d.dep_id andA.cu_name= 'English'>OK>Time:0. 002sSELECTStudent.st_name, student.class_id, student.st_id fromCourseJOINstudent_course USING (cu_id)JOINstudent USING (st_id)JOINteacher USING (dep_id)WHERECourse.cu_name= 'English'>OK>Time:0.001sAnalysis Reason:When we do not add course.cu_name = ' English ' This constraint, we compare the contents of the query results, as shown below SQL1

MongoDB performance Problem and principle analysis

Recently busy to transfer a project from MySQL to MongoDB, in the process of importing old data, encountered some twists and turns, made a lot of mistakes, but also learned a lot of knowledge, so recorded. The company specially equipped with several high-performance server for this project, exclusively dual quad core Hyper-threading CPU, plus 32G of memory, operation and maintenance personnel after the in

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