spt tuning

Database Tuning tutorial (5) Roles of indexes and types of indexes, tuning IndexesIii. Index In the previous chapter, we learned how to use explain to generate a query execution plan (QEP), so as to discover problems with the statement. Three results returned by explain are related to the index (possible key, key, and extra). It can be seen that the index plays a significant role in improving the query eff

Three Tomcat modes and concurrent tuning, and tomcat Tuning Three Tomcat modes and concurrent optimization.Three Tomcat running modes are available: BIO, NIO, and APR. These three types are described as follows: 1. bio The default mode has very low performance and has not been optimized or supported.2. nio Using java asynchronous io Nursing Technology and noblocking IO technology. To run in this mode, dir

Linux system tuning authoritative guide, linux tuning Guide 1. Disable SELINUX.1.1 modify the configuration file to make SELINUX disabled permanently effectiveSed's # SELINUX = enforcing # SELINUX = disables # G'/etc/selinux/config ==> restart the system to take effect1.2 temporarily disable SELINUX[Root @ hadoop01 xningge] # setenforceUsage: setenforce [Enforcing | Permissive | 1 | 0]==> The number 0 indic

Need for Performance Tuning In this world of SAP programming, ABAP is the universal language. in most of the projects, the focus is on getting a team of ABAP programmers as soon as possible, handing over the technical specifications to them and asking them to church n out of the ABAP programs within the "given deadlines ". Often due to this pressure of schedules and deliveries, the main focus of making a efficient program takes a back seat.

JVM tuning-calculate the active data size and jvm tuning Active Data Active Data, sometimes called survival data, refers to the size of long-lived objects in the Java heap when the application is in stable running state. In other words, the space occupied by the Java heap after FullGC in the stable running state of the application (memory usage ). 1. Importance of active data computing The calculation of t

JVM tuning-New Generation and jvm tuning New Generation A new generation of Java virtual machines, including eden space and two dedicated vor spaces. The new generation is used to store newly created objects. The new generation features fast object updates and produces a large number of "Dead objects" in a short time ". Garbage collection for young generations is called secondary garbage collection (minor

JVM tuning series: garbage collection and jvm Tuning Summary: jvm is a required series, which summarizes some common jvm collection mechanisms for easy reference. Before optimization, we must understand how it runs. java's Garbage Collection is usually called "GC", which was born in The Lisp Language of MIT in 1960, after more than half a century, it has become very mature. Therefore, this article focuses

Jdk1.6 VM tuning practices (1) and jdk1.6vm tuning practices Linux 2 CPU 16 GB memory, tomcat7 JAVA_OPTS = "-Xmx1024m-Xms1024m-Xss1024K-XX: PermSize = 512 m-XX: MaxPermSize = 1024 m"Cygwin = false Heap memory: Xmx, xms is up to 1/4 of the physical memory size, which saves xms and xmx allocation. Xss, single thread Permsize: permanent partition size, Maxpermsize: up to 1/4 of the physical memory size

JVM tuning summary, jvm Tuning Heap size settingsThe maximum heap size in JVM has three restrictions: the data model (32-BT or 64-bit) of the relevant operating system; the available virtual memory limit of the system; and the available physical memory limit of the system. Generally, 32-bit systems are limited to Gbps ~ 2 GB; 64 indicates that the operating system has unlimited memory. In Windows Server

Chapter 9 JVM tuning recommendations and chapter 9 JVM tuning recommendations Note: This article mainly references distributed Java applications: basics and practices 1. JVM optimization is mainly about memory optimization, mainly in two aspects: Size of each generation Garbage Collector Selection 2. Size of each generation Common Adjustment Parameters -Xmx -Xms -Xmn -XX: Invalid vorra

JVM Tuning Tool Jconsole,jprofile,visualvm JCONSOLE:JDK, the function is simple, but can be used in a certain load of the system. The garbage collection algorithm is tracked in detail. Detailed description Reference here Jprofiler: Commercial software, you need to pay. function is powerful. Detailed description Reference here VISUALVM:JDK, powerful, similar to Jprofiler. Recommended. How to Tune Observe memory release, collection class checking,

:37YesOrchid Island Main 15:34:51Oh.Orchid Island Main 15:35:12Other, not quite understand your data in the situation, not very good fine optimization.Orchid Island Main 15:35:44Should still be quick.Snow Leopard 15:36:34GoodSnow Leopard 15:36:36Let me seeOrchid Island Main 15:37:16For example: The index of the other two tablesSnow Leopard 15:37:31WellOrchid Island Main 15:37:43The full table scan, although the table is small, but to 0.5s, should also be a small proportion.Snow Leopard 15:37:55I

inner table size is multiplied by the number of parallel service processes greater than the physical size.3) Pq_distribute (Tab_name, none,broadcast): This combination forces all data rows within the table to be broadcast to each consuming parallel query service process, while the outer data rows are randomly partitioned. This hint is recommended when the inner table is more than the outside hour. An important principle is that the none/broadcase hint is recommended when the inner table size is

Cache Size| Query_cache_type | On | cache type, determines what queries are cached| Query_cache_wlock_invalidate | OFF | when other clients are writing to the MyISAM table If the query cache is returned , the cache result, or wait for the write operation to complete the reread table to get results+------------------------------+---------+Mysql> show global Status Like "qcache%";+-------------------------+-------+| variable_name | Value |+-----------------------

can avoid Key lookup is perfect, let's revise non-clustered index to include it in the index with the Include keyword His fields are:[SQL] DROP INDEX idx_non_clust_salesorddetaildemo_modifieddate on salesorddetaildemo GO CREATE nonclustered INDEX idx_non_clust_salesorddetaildemo_modifieddate on salesorddetaildemo (ModifiedDate) INCLUDE ( ProductID, UnitPrice ) GO --Clear the cache, only for the development environment! DBCC Freeproccache DBCC dropcleanbuffers GO

Tags: establishing operations common Invalid database index characters NULL join exist Establish an appropriate index (refer to "pose for proper database indexing") Replace or with union (for indexed columns) Replace in, not exist with exist, not Do not declare numbers in character format (invalidates the index, resulting in a full table scan) Do not use SELECT * (List each column after select) Do not perform calculations in join and WHERE clauses (t

Common tuning methods in linux and common tuning methods in linux Performance Tuning is one of the most important tasks for O M engineers. If your production environment experiences slow system response speed, abnormal hard disk I/O throughput, and the data processing speed is lower than the expected value, or if the CPU, memory, hard disk, network, and other sy

. Net Performance Tuning Series Article Index of series articles . Net Performance Tuning: Use of ants performance profiler . NET performance optimization 2: Use Visual Studio for code measurement . Net Performance Tuning 3: tuning tools and methods for yslow-related rules 1. Introduction to yslow

Model Selection Models Selection　　An important task in ML is model selection, or using data to find the best model or parameter for a given task. This is also known as tuning. Individual estimators such as logistic regression can be adjusted, or the entire pipeline including multiple algorithms, features, and other steps may be adjusted. The user can adjust the entire pipeline at once without having to individually adjust each element in the pipeline.

Explain:1, JVM reuse is the content of the Hadoop tuning parameters, the performance of the hive has a very large impact, especially for the difficult to avoid small file scenes or more task scenes, such scenes most of the execution time is very short. The Hadoop default configuration is to use a derived JVM to perform the map and reduce tasks, which can cause considerable overhead in the JVM's startup process, especially if the job executed contains