massive games

Ask a huge file statistics question about massive data ~~ 100 points plus http://bbs.csdn.net/topics/390971293 Reply to discussion (solution) Only the date column and merchant number line are displayed. where are the user IDs and order IDs displayed? 1. read by row2. extract the date information from the first row as the second-dimensional result array.3. start from the second row, separate the merchant number (the first dimension of the result

How do you optimize a list of massive data and frequent updates? Now the website data is very many, and update frequently, such the station Content List page How to optimize? At the moment we are generating static data, which can be more and more, so that the time consumed by each generation is terrible. Does anyone know how the list of those big websites is handled? Kneeling solution .... ------Solution-------------------- Unexpectedly is the big we

I went to Microsoft for an interview this afternoon and was asked about the optimization of massive data queries. I am not sure how to answer the questions due to the small amount of application data I have developed and I am not very concerned about performance optimization. Two articles on the optimization of overseas data query are searched online. Database optimization query plan Method Database systems are the core of management information syste

It usually takes a long time to export a large number of Execl files. The following personal favorites method can export massive data Protected void CreateExecl (string swhere, string title ){String saveFileName = Server. MapPath ("http://www.cnblogs.com/uploads/file/" + title );Bool fileSaved = false; Microsoft. Office. Interop. Excel. Application xlApp = new Microsoft. Office. Interop. Excel. Application ();If (xlApp = null ){Return;} Microsoft. Of

1. hadoop Configuration:Remove the comments before hadoop_classpath in the hadoop-env.sh and add hbase_home in the previous line, as shown below,Export hbase_home = xxxExport hadoop_classpath = $ hbase_home/hbase-X.X.X.jar: $ hbase_home/hbase-X.X.X-test.jar: $ hbase_home/conf: $ {hbase_home}/lib/zookeeper-X.X.X.jar: $ {hbase_home}/lib/guava-r06.jar2. copy the hbase-site.xml under $ hbase_home/conf to the $ hadoop_home/conf directory, copy the hbase-X.X.X.jar under $ hbase_home/to the $ hadoop_ho

For a system with massive data volumes, the performance bottleneck will eventually fall on the database. At this time, hardware upgrades and program optimization are powerless, A simple query may also impose a heavy burden on the database. Grid computing divides a problem that requires a huge amount of computing power into many small parts, and then assigns these small parts to many computers for processing, finally, combine these computing results to

Data transfer is a common problem in system deployment. How can we achieve efficient transfer and transmission of massive Oracle Data? The following describes how to deploy the postal resource visualization system. I. Use a tablespace for Transmission Restrictions: A. Only data can be transmitted. User stored procedures, functions, and physical views cannot be transmitted. B. The tablespace must be self-contained. Objects in the tablespace or group of

General paging display and storage process for small data volumes and massive data Creating a web application requires paging. This problem is very common in database processing. The typical data paging method is the ADO record set paging method, that is, using the paging function provided by ADO (using the cursor) to implement paging. However, this paging method is only applicable to small data volumes, because the cursor itself has a disadvantage:

Dbhelpersql. Cs source file Add the followingCode /**/ /// /// Total number of returned records /// /// /// /// Public Static Int Getcount ( String Strwhere) { String Strsql = Strwhere; Object OBJ = Dbhelpersql. getsingle (strsql ); If (OBJ = Null ) {Return1;} Else {ReturnInt. Parse (obj. tostring ());} } Add to Dal Layer Public Int Getcount ( String Strwhere) {Stringbuilder strsql = New St

For the insertion and update of massive data, ADO. NET is indeed inferior to JDBC, and JDBC has a unified model for batch operations.Very convenient:Preparedstatement PS = conn. preparestatement ("insert or update arg1, args2 ....");Then you canFor (INT I = 0; I PS. setxxx (realarg );.....PS. addbatch ();If (I % 500 = 0) {// assume that five hundred entries are submitted once.Ps.exe cutebatch ();// Clear parame batch}}Ps.exe cutebatch ();This operatio

I used to delete massive data in the entire table in SQL Server (million data records) and deleted it with delete for a long time. When I was seen by my predecessors, I was so stupid: "Use truncate table ". Sorry, I was too easy to learn. I went back to check the information and found that truncate table is a powerful tool to quickly delete the entire table. Now I want to explain its advantages and disadvantages: Functionally, The truncate table is th

procedure, and its annotations have been written in it. In the case of large data volumes, especially when querying the last few pages, the query time generally does not exceed 9 seconds. Other stored procedures may cause timeout in practice, therefore, this stored procedure is very suitable for queries of large-capacity databases. I hope that through the analysis of the above stored procedures, we can provide some inspiration and improve the efficiency of our work. At the same time, I hope

EXP/IMP massive data From: Macro Beth Oracle exp/IMP are two tools frequently used by many users. they are often used for database logical backup, database restructuring, data transfer, and other work. first, exp unload the data to the file system to generate. DMP file, and then the data is loaded into the database by IMP when necessary. for small and medium databases, the DMP file generated by the full databas

DependenciesAmong these objects and using only those in representing all statistical connections. 2 Statistical Limits on Data Mining A common sort of data-mining problem involvesDiscovering unusual events hiddenWithin massive amounts of data. However, data mining technology is not always effective. Here we will introduce bonferroni's principle to avoid misuse of this technology. 2.1 Total Information Awareness In 2002, the Bush administration put

this way, the size of the file is smaller, and the hash table created is smaller. Modulo the word hash value to 5000 and assign the word to 5000 files based on the result. In this way, on average, a file contains 1g/5000 = m words, and the hash table can basically be installed. Perform hashmap statistics on each file, write the word and frequency to a new file, and get 5000 new files. Maintain a minimum heap of 100 nodes and read each record of 5000 files in sequence. If the frequency is less t

With the rapid development of network and information technology, e-books are becoming increasingly popular. The emergence of e-book readers represented by Amazon Kindle has changed people's traditional reading methods, just as iPod has changed people's listening to music. Today, many online bookstores have launched e-book products. Compared with traditional paper books, the features of portable, easy to use, and large capacity of e-books are very suitable for modern life, users can purchase mor

With the development of enterprise business, there are more and more large data warehouses, and their scale is also expanding rapidly, increasing by three times every two years on average. Large Data Warehouses require scanning dozens, hundreds, or thousands of disks at the highest read speed. Therefore, enterprises often find that the larger the data warehouse, the slower the operation speed. Oracle Exadata database machine, also known as "database cloud server", is designed to solve similar p

Massive video data, open-source websites 56 open api call data for the entire site open source Demo address: http://dev.56.com: 81/56 api/index. php? Type = baby Enter description56api_examples.zip (141 K) Downloads: 0 56 open network platform Include ("./SDK. php "); $ M = new Memcached (); $ M-> addServer ('2017. 16.245.91 ', 172 ); $ Array = array (); $ Category = new open56Client (APPKEY, APPSEC

some problems with GC in the standard library 2.ocaml-reason: The high-performance language of the Academy 3.node.js 4.haskell: Test results: Test again: Since we heard that go1.8 optimized GC for massive objects, we pulled the master version of 1.8 and tested it again. Test results: Conclusion: 1.go1.8 request delay has been significantly optimized 2. There is no need to use the Fasthttp,net/http delay as very low 3. Go is one of the preferred

The code for adding and deleting massive amounts of data to and from a mysql data table needs to be tested today. However, the data source in the data table has become a major problem, and the same problem occurs when you search online. Recommended methods include: 1. add in excel and import it to the data table (feasible but troublesome) 2. manually add one by yourself (cannot stand it, drive people crazy) 3. use a program to add data cyclicall