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Modify Windows Server 2008+iis 7+asp. NET default connection limit, support for massive number of concurrent connections

connections supported by IIS 7In the Hkey_local_machine\system\currentcontrolset\services\http\parameters section, change the default number of connections to 5000 to 100000.In addition, for large concurrent processing of databases, see the following information:Http://msdn.microsoft.com/zh-cn/library/aa0416cz.aspxhttp://blog.csdn.net/fhzh520/article/details/7757830http://blog.csdn.net/truong/article/details/8929438Http://www.cnblogs.com/chuncn/archive/2009/04/21/1440233.htmlhttp://www.baidu.co

Which file system is more suitable for massive small files?

Which file system is more suitable for massive small files? -- Linux general technology-Linux technology and application information. For details, refer to the following section. Recently, I am worried about the new server architecture, wandering between freebsd and centos, and I am more confused about what file systems I choose. Bosses give their ideas. Low machine Configuration: Intel Dual Core 2.0 GHz E2180 1 GB DDR2 SDRAM 160 GB SATA2 HD Purp

Hashing filters for very fast massive filtering

entries in the created table:# TC Filter Add dev eth1 protocol IP parent 1:0 prio 5 u32 HT 2:7b: match ip src 1.2.0.123 flowid 1:1# TC Filter Add D EV eth1 Protocol IP parent 1:0 prio 5 u32 HT 2:7b: match ip src 1.2.1.123 flowid 1:2# tc Filter Add dev eth1 protocol IP parent 1:0 prio 5 u32 HT 2:7b: match ip src 1.2.3.123 flowid 1:3# tc Filter Add dev eth1 protocol IP parent 1:0 pri o 5 u32 HT 2:7b: match ip src 1.2.4.123 flowid 1:2This was entry 123, which contai

The fastest way to import massive data on SQL Server

This forum Article(SCID Technical Community) Describes in detail the fastest way to import massive data from SQL Server. For more information, see the following: Recently, I analyzed the database of a project. to import a large amount of data, I want to import up to 2 million pieces of data to sqlserver at a time. If I use a normal insert statement to write the data, I am afraid that the task cannot be completed without an hour. BCP is considered

A massive amount of types of substitute disposable vacuum cleaner bags

that you have a place to relax after a busy day.It can provide quality support in the form of chairs, pillows, bed or sofa. these are solid, make it so. you will not have the problem of where to put them where they can be in the bedroom, living room, game room or even outside. this will certainly be one of the smartest purchases because they can easily adapt to changes in space. these bils can certainly provide you with the luxury you are looking. all living spaces are more beautiful when place

Detailed code for thinkphp disposal of massive data table mechanism

Detailed code for thinkphp processing of massive data table mechanism

Python crawler crawls massive virus files

Because of the need for work, deep learning is needed to identify malicious binary files, so crawl some resources.#-*-Coding:utf-8-*-import requestsimport reimport sysimport loggingreload (SYS) sys.setdefaultencoding (' Utf-8 ') Logger = Logging.getlogger ("Rrjia") formatter = logging. Formatter ("% (asctime) s-% (name) s-% (levelname) s-% (message) s") File_handler = logging. Filehandler ("/home/rrjia/python/test.log") File_handler.setformatter (Formatter) Logger.addhandler (File_handler) Logge

Shell quickly migrates massive files

Business requirements: the need to migrate 1000多万个 files from one directory to a remote machineIdea: Use wget to move the file one after another, because the number of files is relatively large, if a bit in the loop operation, it will be very slow. So the batch operation, adopt piecemeal method.#!/bin/shhome=/usr/local/www/skate/image63delbackcd $home if[ ' pwd ' == $home ];thena= "110000002000000 3000000400000050000006000000700000080000009000000 " forbin $a doc= ' expr $b +100000 ' forloopin '

Query optimization and paging algorithm for massive databases 1/2 1th/2 Page _ Database Other

With the construction of "Golden Shield project" and the rapid development of public security informationization, the computer application system of public security is widely used in various duties and departments. At the same time, the core of application system system, the storage of system data-database also with the actual application and rapid expansion, some large-scale systems, such as the population system more than 10 million data, can be described as

Massive data contrast eliminate duplicate solutions _ database development

Massive data comparisons to eliminate repetitive solutions Recently has a Beijing to do the mail marketing friend, his hand many millions of data, needs to do eliminates the duplication processing. Here are some of the solutions I found in my groping process for your reference: 1: Write your own program to achieve: This functionality can be implemented, but the technology involved is cumbersome and time-consuming: 1 basic knowledge of set operations 2

Query optimization of MySQL massive database and the scheme of paging algorithm

author in practice, found that top is really good and efficient. But this word is not in another large database Oracle, which cannot be said to be a pity, although it can be solved in Oracle in other ways, such as: RowNumber. We'll use the top keyword in a future discussion of "Implementing TENS data paging display stored procedures." So far, we've discussed how to quickly query out the data methods you need from a large-capacity database. Of course, we introduce these methods are "soft" method

"Problem finishing" MySQL massive data deduplication

Tags: mysql database go heavyBecause the work needs to carry on the data to weigh, therefore does the record, actually is very small white question ....In fact, in terms of data deduplication, the best thing is to design the program and database when the data redundancy is considered, do not insert duplicate data. But,,,, this project, if two of the fields are duplicated at the same time, even if redundant, but also need to self-growing ID as the primary key convenient query .... So ... Forget i

One Oracle massive data deduplication experience

and truncate carefully, especially when there is no backup. Otherwise, it's too late to cry.6. On the use, want to delete some data rows with delete, note with the WHERE clause. The rollback segment should be large enough. If you want to delete a table, delete all of the data by dropping it to keep the table. If it is unrelated to the transaction, use truncate. If it is related to a transaction, or if you want to trigger trigger, or delete the fragment inside the table, you can use truncate to

Some methods of optimizing query speed when MySQL is processing massive data

method, you should first look for a set-based solution to solve the problem, and the set-based approach is usually more efficient. 27. As with temporary tables, cursors are not unusable. Using Fast_forward cursors on small datasets is often preferable to other progressive processing methods, especially if you must reference several tables to obtain the required data. Routines that include "totals" in the result set are typically faster than using cursors. If development time permits, a cursor-b

Some methods of optimizing query speed when MySQL is processing massive data

Recently, due to the need for work, we began to focus on the relative optimization of select query statements for MySQL databases. Because of the actual project involved, it is found that when the data volume of MySQL table reaches millions, the efficiency of normal SQL query decreases linearly, and the query speed is simply intolerable if the query condition in where is more. Once tested on a table containing 400多万条 records (indexed) to perform a conditional query, its query time unexpectedly u

Some methods of optimizing query speed when MySQL is processing massive data

solution to solve the problem, and the set-based approach is usually more efficient. 27. As with temporary tables, cursors are not unusable. Using Fast_forward cursors on small datasets is often preferable to other progressive processing methods, especially if you must reference several tables to obtain the required data. Routines that include "totals" in the result set are typically faster than using cursors. If development time permits, a cursor-based approach and a set-based approach can all

The massive storage mechanism of "MongoDB" MongoDB database

command line, such as the file "Testfile" in the database, which can be done as follows. First of all, let's meet Mongofiles in general:instance to store files in the databasedb.fs.files.find () parameter description:FileName: The name of the stored file;size of the Chunksize:chunksuploaddate: Storage TimeMD5: MD5 code of the fileLength: Size of file (in bytes)Db.fs.chunks.find () parameter description:N: The serial number representing the chunks, which starts from 0;The data field is actually

Oracle Insert massive data experience

bulk binding (bulk binding). When looping through SQL statements that execute a bound variable, a large number of context switches occur in PL/SQL and in the engines (switches). With bulk binding, data can be batched from the Plsql engine to the SQL engine, reducing the context switching process and improving efficiency. This method is more suitable for online processing without downtime.7. Sqlplus-s user/pwdSet Copycommit 2;Set ArraySize 5000;Copy from User/[email protected]-To

MySQL specific explanation (s)----------the optimization of the paging query of massive data

the development of the high speed? Assuming a composite query, my lightweight framework is useless. Paging string you have to write it yourself, how much trouble? Here we look at a sample, the idea comes out:SELECT * from collect where ID in (9000,12,50,7000); 0 seconds to check it out!Mygod, MySQL's index is actually the same as the in statement valid!It seems that the online say in cannot be indexed is wrong!With this conclusion, it is very easy to apply to the lightweight framework:With simp

How does JDBC read massive amounts of data from PostgreSQL? PostgreSQL Source Code Analysis record

(1000); ResultSet rs = ps.executequery (); int i = 0; while (Rs.next ()) {i++; if (i% = = 0) {SYSTEM.O Ut.println (i); }}} catch (ClassNotFoundException e) {e.printstacktrace ();} catch (SQLException e) {e.printstacktrace ();} } } This time again, we found that there was no card at all. Sentiment: Similar to the problem of slowly tracking code, more important is to have colleagues around the need to discuss each other, forming an atmosphere, because the process is very boring, it is difficult t

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