best database for large data

A large browser game SQL injection has penetrated into the company to obtain a large amount of data. Later I learned that it was a very large development company, covering Web games, websites, and smart home. It has penetrated into the development environment .. Start at http://www.958game.com/main site. The problem li

Recently, in an sns project, PDO is used to connect to the Oracle database and read the Clob field. When the data volume is very large (tens of thousands of characters), a null value is returned, no relevant information was found from the Internet. I worked hard and helped my colleagues to solve the problem. If you don't talk nonsense, post the content below. Rec

position 0 (do not forget to manipulate the data in the database at the same time), Then when binding to the DataView filter, DV. RowFilter = "Deletestate==1", you can simulate the deletion effect. After the data processing, access performance will be increased by a hundredfold, data only in the cache after the failur

as we all know, millions of table data are similar to the above, even if the Where condition hits the index, the execution time will not be less than 10 minutes, consider the operation of the data will cause two tables of exclusive locks, resulting in business suspension! impact from server resources: increased IOPS, IO contention causing CPU waits (high CPU), removal of

$ret = self:: $db->select ($tables, $fields, $where, $bind); if (!empty ($ret)) {$retIds = array (); $ids = Array (); while (!empty ($ret)) {$_sub = Array_splice ($ret, 0, 10000),//Remove 10,000 foreach each time ($_sub as $v) {Array_push ($retIds, $v [' Pt_accountkey ']); } unset ($_sub); /* Filter Non-fast login type */$place _holders = Implode (', ', Array_fill (0, Count ($retIds), '? ')); Array_unshift ($retIds

Removing a large data set by executing a single DELETE statement has the following drawbacks:The operation of the 1.DELETE statement is to be fully recorded in the log, which requires sufficient space in the transaction log to complete the transaction;2. During the delete operation (which may take a long time), all logs from the oldest open transaction to the current point of time cannot be overridden, and

The Json request for ASP. net mvc (post data) is too large to be deserialized (The JSON request was too large to be deserialized ), This problem does not occur in many scenarios. When you send an asynchronous request to the server (ajax) when the post data is very large (for

In the case of a small amount of data, the performance of program writing is basically not much different, but when we face tens of thousands of data, I think performance is a problem that has to be considered, every time you write a method, every data fill must take into account performance issues. Otherwise, the server will bear huge execution overhead. If the

Yisearch technology has a large number of webshells on a website that involve a large amount of user data. I only came here when I saw a vendor activity ~~~~ PS: a gift is good, and 20 RANK is good.Yisearch technology found a large number of webshells in earlier FCK versions.Http://info.easou.com/admin/ums/logon.jsp H

This problem is not a lot of scenarios, when you go to the server-side asynchronous (Ajax) post data is very large (for example, when doing permission management to assign permissions to a role, it may appear, All I'm going through is the role of about 200 modules each module has an average of 2 functions----then the action that is sent to the server will be an array of 400 objects)Before we send an asynchr

A simple SQL statement: Select count (1) From tablename with (nolock) Where Columna = A and columnb = B and columnc = C, called by a key page, although memcache cache is added, due to data structure design problems, the CPU load of the database server is as high as 100%, and the critical page response times out, resulting in extremely bad impact. The reason is,Index missingAt the beginning of the

streaming frameworks and systems.In addition, we have researched the emerging technologies and provided some implementation tips. The article isbased on a in the project developed at Grid Dynamics Labs. Much of the Creditgoes to Alexey Kharlamov and Rafael Bagmanov who led the project and Othercontributors:dmitry Suslov, K Onstantine Golikov, Evelina Stepanova, Anatolyvinogradov, Roman belous, and Varvara Strizhkova.The basis of distributed query processingDistributed streaming

The solution to the problem of data loss is found when phppost has a large amount of data, and the post data is lost. Solution to the problem of data loss found when phppost has a large amount of

Introduction As we discussed in previous tutorials, pagination can be done in two ways: 1. Default paging – You only use the Enable paging of the smart tag with the data Web control selected; However, when you are browsing the page, although you see only a small portion of the data, ObjectDataSource will always read all the data 2

Php post large data volume found data loss problem solution, post data loss Solution: Set max_input_vars to 5000 in php. ini. Cause tracing: From enctype = "multipart/form-data" Php version 5.6.6 Problem: Some POST data cannot be

A recently-made Web project uses the EXTSJ4 framework, which requires an export Excel feature that is implemented by EXTJS4 's own export method. The code for Excel is generated in the foreground, and the form submission is passed to the background output. The foreground grid data exceeds 1000 rows after the export data background cannot receive. A lot of search on the internet is the size of the tomcat tra

read the number of numbers that fall into each area, and then we can tell by the statistical results that the median is going to be in that area, and we know that the number of numbers in this area is just the median number. And then the second scan we only count the numbers that fall in the area. In fact, if not int is int64, we can go through this division 3 times to reduce to acceptable levels. That is, the int64 can be divided into 2^24 areas first, then determine the number of regions, in

the number of the numbers that fall into each region, and then we can judge the median by the statistical results, and know that the number of the numbers in this area is exactly the median. And then the second scan, we just count the numbers that fall in this area. In fact, if it's not int is int64, we can go through 3 of these divisions to be reduced to acceptable levels. That is, the int64 can be divided into 2^24 areas, and then determine the number of regions, in the region into the 2^20

During database initialization, an actual problem that administrators need to face is how to import large amounts of data into the database system. Some large-capacity data import and export tools are provided in the SQL Server

numbers that fall into each area, and then we can tell by the statistical results that the median is going to be in that area, and we know that the number of numbers in this area is just the median number. And then the second scan we only count the numbers that fall in the area. In fact, if not int is int64, we can go through this division 3 times to reduce to acceptable levels. That is, the int64 can be divided into 2^24 areas first, then determine the number of regions, in the area into the