massive games

Taobao massive data products of the technical framework is what, but also how to deal with the massive access of the double 11. First look at the picture: According to the data flow to divide, we put the technology architecture of Taobao data products into five layers (as shown in Figure 1), respectively, are data sources, computing layer, storage layer, query layer and product layer. At the top of the str

I dare not say it is a professional player, but I believe that the age is not small in this forum, and the time for playing games is not short. From the very beginning of the Yali age, SEGA to FC, Nintendo came to PC after arriving at SS/PS, and online games I can be said to be a super ashes player of the game. Recently I have never played many games, but I have

In this era of hot cloud computing, if you have not processed massive data, you will no longer be a qualified coder. Make up now ~ A while ago, I analyzed a Data Group of nearly 1 Tb (GZ file, compressed by 10% ). Because the first analysis of such huge data and no experience, it took a lot of time. Below are some of my experiences to facilitate the latter. Download data Q: How to automatically download multiple files? This is my first problem. Whe

This article introduces how to import massive data to a database by reading TXT files based on PHP. A friend in need has a TXT file containing 0.1 million records. the format is as follows: Column 1 column 2 column 3 Column 4 column 5A 00003131 0 0 adductive #1 adducting #1 adducent #1A 00003356 0 0 nascent #1A 00003553 0 0 emerging #2 emergent #2A 00003700 0.25 0 dissilient #1 ........................ There are 0.1 million more .................. Th

parts. In section 1st, all elements that affect data reading efficiency are classified into their respective concepts, principles, features, and application principles, the table's structural features, diversified index types, the internal function of the optimizer, And the execution plans developed by the optimizer for various results are described in detail, based on the correct understanding of the optimizer, the index building strategy scheme that has the greatest impact on the execution pl

Tags: Ar SP file Div on art BS Linux I. conventional image storage policies In general, the image storage below GB can be used in folders For example, the folder level is year/Industry Attribute/month/date/user attribute. There are several more important principles than limit: 1. The number of files in a single folder cannot exceed 2000. The addressing speed is slow. You can see the effect when there are too many files in Linux ls. 2. the folder hierarchy should not be too deep, so the ser

PHP processes TXT files and imports massive data into the database. There is a TXT file containing 0.1 million records, in the format of: Column 1 column 2 column 3 Column 4 column 5a%313100adductive #1 adducting #1 adducent # 1a%335600nascent # 1a%355300em there is a TXT file, contains 0.1 million records in the following format: Column 1 column 2 column 3 Column 4 column 5A 00003131 0 0 adductive #1 adducting #1 adducent #1A 00003356 0 0 nascent #1

/Var/spool/clientmqueue analysis and massive file deletion processing many files exist in the/var/spool/clientmqueue directory of a server. the ls has to be executed for a long time and has been checked online, record: cause: a user in the system has enabled cron, and the program executed in cron... /var/spool/clientmqueue analysis and massive file deletion processing many files exist in the/var/spool/clien

to dividing a hash table into two halves of equal length, called T1 and T2 respectively, with a hash function for T1 and T2, H1 and H2. When a new key is stored, it is calculated with two hash functions, resulting in two addresses H1[key] and H2[key]. At this point you need to check the H1[key] position in the T1 and the H2[key] position in the T2, which location has been stored (collision) key more, and then store the new key in a low-load location. If the two sides are the same, for example,

list of conflicts, because the process of performing sequential bits always leads the query process to the destination.6. The situation of the massive routing items Linux used so long the hash routing table was organized because it was enough. Because most of the time, the number of routing table entries is not large. Even if the traversal is not too much overhead, and the hash calculation will greatly reduce the overhead of traversal, so-called risk

Informix time series (InformixTimeSeries) is an important technology for the Informix database to solve massive data processing. This technology uses a special data storage method, which greatly improves the processing capability of time-related data, and halved its storage space relative to relational databases. In the smart electric meter application, you can set a fixed time in a time series column. Informix time series (Informix TimeSeries) is an

million, but if you remove the duplicates, no more than 3 million. The higher the repetition of a query string, the more users are queried for it, the more popular it is, please count the hottest 10 query strings, which requires no more than 1G of memory.Solution: Although there are 10 million query, but because of the high repetition, so in fact only 3 million of the query, each query255byte, (300w*255b Hash statistics: This batch of massive