zynga pool

Label:/** Technology for connection pooling and caching**/var mysql = require (' mysql '); var pool = Mysql.createpool ({ connectionlimit:2,//connection pool can create a maximum number of connections host: ', User: ' Root ', database: ' Yudi ', password: ', queuelimit:8//queue for maximum number of connections, 0 for unlimited. }); Pool.query (' select * from person ', function (e

Self-written thread pool, self-written Thread Pool C # I have ThreadPool and Task. Why do I need to write the thread pool? I have never thought about writing a thread pool myself before. I used ThreadPool or Task to write crawlers some time ago. I want to control 10 threads crawling webpages and 10 threads downloading

What is a memory pool(Memory Pool) is a way of allocating memories.A memory pool is a request to allocate a certain number of memory blocks of equal size (in general) to be reserved before actually using memory. When there is a new memory requirement, a portion of the memory block is separated from the memory pool, and

Use the process pool to circumvent Python GIL restrictions, and the pool to circumvent pythongil Operating System: CentOS7.3.1611 _ x64 Python version: 2.7.5Problem description Python GIL will affect CPU-intensive programs. If Python is fully used for programming, how can we avoid GIL restrictions? Solution Use a process pool in multiple threads to avoid GIL rest

Installing Geth//安装paritycd /tmp/wget d1h4xl4cr1h0mo.cloudfront.net/v1.8.11/x86_64-unknown-linux-gnu/parity_1.8.11_ubuntu_amd64.debdpkg -i parity_1.8.11_ubuntu_amd64.deb//安装screenapt-get updateapt-get -y install screen//启动parityscreen parity --base-path=/root/.ethereum --chain ropsten --jsonrpc-interface local --jsonrpc-hosts all --jsonrpc-apis all --no-ws --no-dapps --author 0xc1d0932D18a4Ec35728b7fF02288dF745D1f4F40//暂时离开 按住Ctrl，依次再按a,d//恢复screen会话screen -lsscreen -r 17172//安装Gethapt-get -y in

Installing Geth//安装paritycd /tmp/wget d1h4xl4cr1h0mo.cloudfront.net/v1.8.11/x86_64-unknown-linux-gnu/parity_1.8.11_ubuntu_amd64.debdpkg -i parity_1.8.11_ubuntu_amd64.deb//安装screenapt-get updateapt-get -y install screen//启动parityscreen parity --base-path=/root/.ethereum --chain ropsten --jsonrpc-interface local --jsonrpc-hosts all --jsonrpc-apis all --no-ws --no-dapps --author 0xc1d0932D18a4Ec35728b7fF02288dF745D1f4F40//暂时离开 按住Ctrl，依次再按a,d//恢复screen会话screen -lsscreen -r 17172//安装Gethapt-get -y in

Java constant pool and Java constant poolFor an interview question on the internet, find the output result: /** * *@authorDreamSea2011-11-19 */ publicclassIntegerTest{ publicstaticvoidmain(String[]args){ objPoolTest(); } publicstaticvoidobjPoolTest(){ Integeri1=40; Integeri2=40; Integeri3=0; Integeri4=newInteger(40); Integeri5=newInteger(40); Integeri6=newInteger(0); System.out.println("i1=i2\t"+(i1==i2)); Sy

Tomcat has been using COMMONS-DBCP as a connection pool for the previous version of 7.0, but DBCP has been criticised for the following reasons: DBCP is single-threaded, in order to ensure that the entire connection pool is locked by the line Shuo plenary DBCP Poor performance DBCP is too complex, more than 60 classes DBCP using static interface, compile in JDK 1.6 problem DBCP Deve

Python: Process pool, python process pool 1. Can a process be opened infinitely? Processes cannot be opened infinitely. The cpu has 16 cores, which means that 16 tasks can be processed simultaneously. If there are 160 processes, each process 0.01 s for processing, and 160 s for a 16-core processor to process 0.5 processes, because the more processes, the more time required. 2. Process

Python crawler practice (iii) -------- sogou article (IP proxy pool and user proxy pool settings ---- scrapy ), In learning the scrapy crawler framework, it will certainly involve setting the IP proxy pool and User-Agent pool to avoid anti-crawling of websites. In the past two days, I watched a video about sogou's arti

Modify the conf/server. xml file Easy Configuration Step 1: Open the shared Thread Pool Name = "Catalina"> Name = "tomcatthreadpool" nameprefix = "Catalina-Exec -" Maxthreads = "1000" minsparethreads = "50" maxidletime = "600000"/> Name = "tomcatthreadpool" nameprefix = "Catalina-Exec-" maxthreads = "1000" minsparethreads = "50" maxidletime = "600000"/>Comments before and after the default value NameThe name used to reference this

Database connection pool: (inside put a lot of connection data links, responsible for allocation, management, release database connection, reusable connection, but not new) for data Unified connection to establish a buffer pool, put a certain database connection, use in the buffer pool inside take, and then back to the buffer

The libvirt Storage section is studied. A simple example is used for test and verification: Import lib1_conn = libvirt. open ('qemu: // system') # conn = libvirt. open ('qemu: // system ') xmldesc = ''' Output result: virttest1 Delete storage volumes and storage pools Import lib1_conn = libvirt. open ('qemu: // system') # conn = libvirt. open ('qemu: // system ') ''' Delete pool vol ''' storage _ pool