postgresql performance tuning parameters

, connection pooling, and so on, in the design phase, as appropriate for the business. 2. Code tuning: Development PhaseThis is the developer is most familiar with, do the overloading should have feelings, the same function, good implementation and bad implementation is very far. be careful to avoid deadlocks, dead loops. 3. Database tuning: Development phaseJava programs can connect to a database using JDB

The following environments are representative of the general configuration and work environment of small and medium-sized enterprises. I hope this article will help you understand the MySQL database performance tuning method in Linux. 51CTO recommends the MySQL database getting started and proficient tutorial to you. Hardware preparation environment: Hard Drive: 16 SAS15KRAID5 with 512 MCacheCPU: Two AMD4 C

queues1954[[email protected] ~]# Cat/proc/sys/kernel/msgmax maximum single message queue size, per byte65536Pdflush: Adjust the memory usage space, clear the memory of the chapter page to disk up[[email protected] ~]# Cat/proc/sys/vm/nr_pdflush_threads shows how many Pdflush are currently started by default0[[email protected] ~]# Cat/proc/sys/vm/dirty_background_ratio equivalent to the total memory, chapter page accounted for a large proportion of the beginning of the write-up[[email protected]

There are many ways to optimize TCP/IP and kernel parameters under Linux, the configuration of parameters can greatly improve the performance of the system, and can also be optimized according to specific scenarios, such as time_wait, DDoS attacks and so on.The following configuration is written in sysctl.conf and can be used with sysctl-p.The relevant

dbms_workload_repository. Create_snapshot;We can also use the Dbms_workload_repository package to complete the baseline, modification of the default settings and so on.ADDM (Automatic Database Diagnostic Monitor AWR)is a consultant system within Oracle that can automate some of the optimization recommendations for the most databases, give recommendations for SQL optimization, index creation, and statistics collection.ADDM report Generation:Sqlplus>@?/rdbms/addmrpt.sqlThe most important thing ab

environment parameters of a running Java program.Jinfo-flag MaxPermSize 4084jmap–Jmap can get a specific memory match from the core file or process, including the heap size, Perm size, and so on, to print out the case of a Java process (using PID) in memory, all ' objects '.-heap : Printing JVM Heap-histo: Prints the histogram of the JVM heap. Its output information includes the class name, the number of objects, and the size of the object.-histo:liv

Why do you want performance tuning? Most Linux distributions are designed to be fully compatible with most computers in the marketplace. This is a fairly mixed set of hardware (hard drive, video card, NIC, etc.). So Red Hat, Suse,mandriva and some other distribution vendors have chosen some conservative settings to make sure the installation is successful.Simply put: Your distribution is running well, but

All TCP/IP tuning parameters are in the/proc/sys/net/directory. For example, the following are some of the most important optimization parameters, which are followed by their meanings: 1./proc/sys/net/core/rmem_max-maximum TCP Data receiving buffer 2./proc/sys/net/core/wmem_max-maximum TCP data sending buffer 3, /proc/sys/net/ipv4/tcp_timestamps-timestamp in (ref

Talking about linux Performance Tuning 12: Red Hat optimization strategy Tuned talking about linux Performance Tuning 11: Memory Allocation Management http://www.bkjia.com/ OS /201307/228761.html Red Hat launched a dynamic tuning solution, you can use different

http://blog.csdn.net/innost/article/details/9008691Authorized by the author, published Tieto a young cow of a "programmer" masterpiece.Introduction to the Android System Performance tuning toolIn the software development process, presumably many readers have encountered the system performance problem. Several major steps to solve the system

Label:MySQL performance tuning and architecture design--1th chapter MySQL Basic introductionPreface:As one of the most popular open source database software, MySQL database software has been widely known. But in order to take care of the readers who are not familiar with MySQL, this chapter will make a brief introduction to MySQL. The main content includes MySQL each function module composition, each module

Some small aspects of database Performance tuning:1. 1 Performance IndexDatabase performance is generally measured in two metrics: response time and throughput. The faster the response, the greater the throughput and the better the database performance. Response time and thr

Label:For the full stack, database skills are indispensable, relational databases or NoSQL, memory-based database or partial disk storage database, object storage database or graph database ... , but the first essential skill should be MySQL. From the rise of lamp, to the advent of mariadb, and even the advent of PG, skilled MySQL skills are very useful. MySQL database technology is also a lot of aspects, here is only the necessary performance

########################cat/proc/sys/vm/min_free_kbytes # Default value:45056# function: Keep the lowest available memory vm.min_free_kbytes=1048576########################cat/proc/sys/ vm/swappiness# Default value:60# effect: The higher the value (0-100), the more likely the swap Exchange vm.swappiness=20 "FS" ######################## cat/proc/sys/fs/inotify/max_user_watches# Default value:8192# effect: INotify Watch Count Fs.inotify.max_ user_watches=8192000########################cat/proc/sys

rate is too high is not continue to decline). The attenuation learning rate can be adopted, and the learning rate is gradually attenuated with the training. Take 0.5. For example, when Val loss meet No-improvement rules, should have taken early stopping, but can not stop, but let learning rate half continue to run. So repeatedly. Attenuation methods are: attenuation to a fixed minimum learning rate linear attenuation, exponential decay, or 2-10 times as much attenuation per Val loss stagnation.

effectively improve performance if external storage is used.13. Adjust Linux file descriptor limitsLinux limits the number of file descriptors that any process can open, with the default limit of 1024 per process, which may hinder benchmarking clients (such as Httperf and Apachebench) and the Web server itself from getting the best performance, with one process per connection for Apache, So it is not affec

to adjust. starting with MySQL 5.6.3 , This parameter is no longer needed. (Error log [Warning] option ' innodb_additional_mem_pool_size ': Signed value 512000 adjusted to 524288). */In the example , the default configuration is the default configuration, which is 8M. in the Mysql manual, the recommended setting for 2G memory is 20M. In general, set up the General Assembly caused by the waste of physical memory, can be on the line for a period of time to pay close attention to the log, parame

multi-master environment Lock/unlock tables is not supported, as well as the lock function Get_lock (), Release_lock () ...(4). The query log cannot be saved in the table. If the query log is turned on, it can only be saved to a file.(5). The maximum transaction size allowed is defined by Wsrep_max_ws_rows and wsrep_max_ws_size. Any large operations will be rejected. such as a large load data operation.(6). Because the cluster is optimistic concurrency control, the transaction commit may be abo

the performance of ES. At the same time, assuming that the machine 1 has a routing attribute a document, Machine 2 has a routing attribute B document, then I in the query when the target route attribute is a, even if the machine 2 failure paralysis, the machine 1 structure is not a great influence, so do the query under the disaster situation also proposed a solution. The so-called route, in essence, is a split-bucket (bucketing) operation. Of course

The common JVM parameters are as follows-xmx1024m: Sets the maximum available memory for the JVM to 1024M.-xms1024m: Set the JVM to drive memory to 1024m. This value can be set to the same as-xmx to avoid the JVM reallocating memory after each garbage collection completes.-XMN512M: Set the young generation size to 512m. The entire JVM memory size = younger generation size + old generation size + persistent generation size. The permanent average fixed