mongodb insert performance tuning

MongoDB Performance Analysis method:explain ()To demonstrate the effect, let's start by creating a record with 2 million documents. (My own computer took about 15 minutes to insert the completed.) If you want to plug in more documents It's okay, just be patient and wait. ）1 for (var i=0;i) {2 db.person.insert ({"Name": "Ryan" +i, "age": i}); 3 }After

Summary of Oracle Performance Tuning recommendationsPrinciple One: Note the connection order in the WHERE clause:Oracle uses a bottom-up sequential parsing where clause, according to which the connection between tables must be written before other where conditions, and those that can filter out the maximum number of records must be written at the end of the WHERE clause.Especially "PRIMARY key id=?" "Such a

Original: http://bbs.landingbj.com/t-0-246222-1.html http://bbs.landingbj.com/t-0-245851-1.htmlOptimization of the MyISAM storage engine in MySQL performance tuning.The points to consider in optimizing the MyISAM storage engine are as follows:As far as possible index, MyISAM only cache index does not cache data;Adjust read-Write priority according to actual demand;Delay insertion, use Insert delay, reduce a

whenever possible. This section will be a topic at the end of this series. A detailed description of the process is presented here (simplification – Exploration – implementation).Summarize:This paper introduces the process of compiling query, and the concrete content of generating cache, reusing cache, recompiling, etc. There are a number of things to note about optimizing our T-SQL statements, and the more hits we have on the execution plan cache, the lower our query consumption will be, but t

MONGODB1, MongoDB optimization: A, statement optimization may find a long execution time statement through the profile. Db.getProfiling.Level () to get the profile level Db.system.profile.find () to view the profile record. B, after finding the statement, through the explain to parse the statement, you can see whether the index is used, what index? Db.collection.find ({xx:xx}). Explain (); C, through the results of explain to optimize the query statem

script file Ssh_user=rootSsh_port=22 Repl_user=repluserrepl_password=123456 User=rootpassword=123456 [Server1]hostname=192.168.36.51port=3306Candidate_master=1 [Server2]hostname=192.168.36.52port=3306Candidate_master=1 [Server3]hostname=192.168.36.53port=3306Candidate_master=14.3 Start the Management Service and view the service status]# Masterha_manager--conf=/etc/mha/app1.cnf--remove_dead_master_conf--ignore_last_failover[Server4]hostname=192.168.36.54port=3306No_master=1 [Server5]hostname=19

Problem:A system, MySQL database, after the data is large. MySQL CPU utilization is very high, a Test side access to the server when MySQL CPU utilization is 15%, 6 test end of the server when the MySQL CPU occupancy rate is 50%~60%.PS 1: Each Test side of the thing is to insert records, but before inserting will first check whether there is already the same record, some words to update the original record, not directly inserted.PS 2:cpu--pentium Dual

memory disk Mkdir-p/mnt/ramdisk sudo mount-t tmpfs-o size=4000m tmpfs/mnt/ramdisk/ mv/var/lib/mysql/mnt/ramdisk/mysql 9. Use MYSQL in a NOSQL way B-tree is still one of the most efficient indexes, and all MYSQL is still not obsolete. Using Handlersocket to skip MySQL's SQL parsing layer, MySQL really becomes NOSQL. 10. Other A single query finally increases LIMIT 1, stopping the full table scan.Separating non-"indexed" data, such as separating large articles from storage, d

Index | performance ORA FAQ Performance Tuning Series-- The Oracle (tm) Users ' co-operative FAQ Why would a reverse index to useful when the leading column of the "index is" generated from a sequence? When the first column of the index is generated by the sequence, what is the use of a reverse index? --------------------------------------------------------------

your application needs and the hardware you're going to deploy. Because of this, there is currently no "standard" test program that can tell you which technology is best for your application. Only your needs, your data, your infrastructure can tell you what you need to know.To help us measure performance, we have worked with the community to take hundreds of different tests. These tests reflect a wide variety of applications developed by users, as we

mysql performance tuning considerations and Indexing One: Optimization of the database1 impact of business needsFor example, posts in the Forum statistics, and real-time updates from a functional command select count ( * from can get results if the forum generates thousands of posts per second, we don't use MyISAM The store uses the innodb storage; Even the best devices are not likely to be

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for WEB applications. MongoDB is a product between relational database and non relational database, and is the most powerful and relational database in the relational database. This article introduces

be sorted, or it can be added to a column (like joins or additions). Any non-indexed item in the ORDER BY statement, or a computed expression, will slow down the query. Double-check the order BY statement to find non-indexed items or expressions that degrade performance. The solution to this problem is to rewrite the order BY statement to use the index, or you can establish another index for the column you are using, and you should absolutely avoid u

reduce the performance of the server. 40, avoid the table scan. 41. If possible, do not use cursors. 42, use Profiler to track the query, get the time required to query, find out the problem of SQL. Optimizes the index with the index optimizer. 43. Use Query Analyzer to view the SQL statement's query plan and evaluate whether the analysis is an optimized SQL. 44, the calculation results are pre-calculated to put in the table, query time and then sele

union and UnionAll. UnionAll Good 18, pay attention to using distinct, do not use when not necessary, it will make the query slower than the union. Duplicate records are not a problem in the query. 19. Do not return rows or columns that are not required when querying 20. Use sp_configure ' query governor cost limit ' or setquery_governor_cost_limit to limit the resources consumed by the query. When an estimate query consumes more resources than the limit, the server automatically cancels the qu

GROUP BY:Increase the efficiency of the group BY statement by filtering out unwanted records before group by. The following two queries return the same result but the second one is significantly faster.Copy CodeThe code is as follows:Low efficiency:SELECT JOB, AVG (SAL)From EMP GROUP job has job = ' president ' and AVG (SAL) >xxxEfficient:SELECT JOB, AVG (SAL)From EMPWHERE JOB = ' President 'OR job = ' MANAGER ' GROUP JOB having and AVG (SAL) >xxx7, usually, if the statement can avoid the use o

are very readable6. Use where to replace having (if possible)Optimize GROUP BY:Increase the efficiency of the group BY statement by filtering out unwanted records before group by. The following two queries return the same result but the second one is significantly faster. Copy the code code as follows: Low efficiency:SELECT JOB, AVG (SAL)From EMP GROUP job has job = ' president ' and AVG (SAL) >xxxEfficient:SELECT JOB, AVG (SAL)From EMPWHERE JOB = ' President 'OR job = ' MANAGER ' GROUP JOB hav

One, insert operation Insert operations are the basic method of inserting data, and using insert for the target collection will add the document to the MongoDB and automatically generate the corresponding ID key (MONGODB). The document structure takes a JSON-like Bson forma

One, insert operation Insert operations are the basic method of inserting data, and using insert for the target collection will add the document to the MongoDB and automatically generate the corresponding ID key (MONGODB). The document structure takes a JSON-like Bson format

In order to be successful, I'll involve some preliminary steps that will be needed to see what happens, including running Plustrce SQL scripts, creating a Explain_plan table, granting roles, configuring Sql*plus environments to view execution plans. All of these steps include "use automatic tracking in Sql*plus" In Oracle 9i R2 Database Performance Tuning guide and reference, and for Oracle 10g These steps