mongodb vs mysql performance

Correct compilation methods are important, but they are only part of improving MySQL server performance. Many MySQL server parameters will affect the performance of the server, and we can save these parameters to the configuration file so that these parameters will automatically take effect each time the

kettle+mongodb data sync to MySQL 1. Preface:The date type in MongoDB is stored in UTC (coordinated Universal time), and the isodate type is equal to GMT (GMT). And Beijing is in the area of +8, so MONGO Shell will gmt+0800 the current time minus 8, stored in GMT time.2. Overview of Extraction Operations650) this.width=650; "Src=" Http://s3.51cto.com/wyfs02/M01/8

received select statement in string mode based on the preset hash algorithm, then, go to the Query Cache to check whether the data has been cached. That is to say, if the select request is already in the cache, the data will be directly returned, thus omitting all subsequent steps (such as SQL statement parsing, optimizer optimization and Data Request to the storage engine), greatly improving performance. Of course, Query Cache also has a fatal defec

MySQL Performance Optimization MySQL supports five different table types, which may be unusual. These five types are BDB, HEAP, ISAM, MERGE, and MyISAM. Among them, the BDB type belongs to one category separately, which is called "transaction-safe", and the other table types belong to the second category, which is called "non-transaction-safe ). The following des

Mysql optimization and mysql Performance Optimization For a data-centric application, the quality of the database directly affects the performance of the program, so the database performance is crucial. I To ensure database efficiency, do the following: ① Database Design ② S

Mysql Performance Monitoring related bitsCN.com Mysql Performance Monitoring 1. obtain the total number of processes under the mysql User II. host performance status III. CPU usage IV. disk I/O volume 5. swap inbound/outbound [m

For some special reasons, we need to migrate MongoDB data to MySQL. The level is limited. The only way you can think of is to write scripts. Visualized vue operations are available from MySQL to MongoDB. I don't know if there are similar tools from MongoDB to

algorithm and then go directly to the query cache to find out if it is already cached. That is, if it is already in the cache, the select request returns the data directly, omitting all subsequent steps (such as parsing of SQL statements, optimizer optimizations, and requesting data to the storage engine), which greatly improves performance. Of course, Query Cache also has a fatal flaw, that is, when any change in the data of a table, will cause all

Here we use the SQL statement in mysql as an example. The C # driver uses samus, which is the first one described above. introduce the MongoDB project. dll creates a Mongo connection to varmongonewMongo (mongodb: localhost); mongo. connect (); obtain a database. If not, a vardbmongo is automatically created. getDatabase Here we use the SQL statement in

Performance Tuning overview: I. Overview 2. what is performance tuning? (What) 3. Why performance optimization? (Why) 4. When do I need performance optimization? (When) 5. where do I need performance tuning? (Where) 6. Who will perform