polycom 2w

table of a job is shown in the table below, the known page size is 1024B, try to convert the decimal logical address 1011,2148,5012 to the corresponding physical address. The page number is P, the offset in the page is W, the logical address is a, the memory address is M, the page size is L, thenP = Int (a/l)W = A MoD LFor logical address 1011P=int (1011/1024) =0w=1011 MoD 1024=1011A=1011= (0,1011)Page No. 0 on page 2nd, so the physical address is m=1024*2+1011= 3059. For a logical address of

transformations, lighting, map blending and so on. "Personally, I think you should look at your project needs, assuming you are 3d games. Your game needs to be compatible with low-configuration hardware, smooth operation, control hardware fever, but also to achieve a certain effect (lightmap+ fog effect), then the number of vertices must not be high. At this time the 2W vertex of the same screen I think is a more appropriate number, drawcall preferab

Posted on 2006-06-09 01:52 Xu Jianxiang --2006 years, Zhangjiang's real estate is more than 6,000, 2010 Zhangjiang less than 2w almost no, originally only one such as home, now, such as home side is Medicine Valley ... First, training background From the company's long-term development, through the company's staff to carry out targeted training to enable them to continuously acquire new knowledge and related skills, improve the overall research an

in daily environments is around 1-2w).Support simple transaction requirements, but the industry use of the scene is very small, immature, both advantages and disadvantages.Redis consumes more memory on string types, and can use Dict (hash table) to compress storage to reduce memory consumption.Both MC and Redis are key-value types, are not suitable for establishing relationships between different datasets, and are not suitable for query search. For e

database and to the Redis. is to assume that a modified data is written from the queue to MySQL success, but the write to Redis fails, this is how. There is the need for a message queue, using third-party such as KAFKA,RABBITMQ, such as to achieve, management is not convenient, the overall stability of the system is not, and just such a relatively small box data synchronization. A little overkill.Other options:Subscribe to the change of key database update, write 2 copies, one to Redis write, o

message.The segmentation algorithm of 3.2 Jieba Matching algorithm, said to be complex, here is a brief introduction to the principle of jiaba participle matching. First of all, Jieba participle has brought a dict.txt dictionary, there are more than 2w entries, including the number of occurrences and part of speech, which is the author's own based on the People's Daily information, training out. Jieba will first put the data in this dictionary into

around 1-2w). Support simple transaction requirements, but the industry use of the scene is very small, immature, both advantages and disadvantages. Redis consumes more memory on string types, and can use Dict (hash table) to compress storage to reduce memory consumption. Both MC and Redis are key-value types, are not suitable for establishing relationships between different datasets, and are not suitable for query search. For example, Redis's keys p

nproc 131072 * hard nproc 131072 * soft core unlimited * hard core unlimited * soft memlock 50000000 * hard memlock 50000000 Start the database # pg_ctl start -D $PGDATA # 或者使用如下的方式启动 pg_ctl -D /var/lib/pgsql/data -l logfile start -bash-4.2$ lsof logfile COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME postgres 30772 postgres 1w REG 8,3 0 34606128 logfile postgres 30772 postgres 2w REG 8,3 0 34606128 logfile -bash-4.2$ lsof -i:5432 COMMAND PID USER

, and the QPS peak in daily environments is around 1-2w).Support simple transaction requirements, but the industry use of the scene is very small, immature, both advantages and disadvantages.Redis consumes more memory on string types, and can use Dict (hash table) to compress storage to reduce memory consumption.Both MC and Redis are key-value types, are not suitable for establishing relationships between different datasets, and are not suitable for q

1w~2w fluctuations, far less than the requirement of 20 seconds to write 20w records.Storage by acquisition deviceYes, the above structure per indicator for each value is a record, is not too much waste? Is it possible to use the acquisition device + acquisition time as a record? The question is, how to solve the problem of different acquisition device properties? At this time, a colleague to play the talent, monitoring indicators + monitoring values

synchronous replication of data, support multi-level replication and incremental replication, master-slave mechanism is an important means of Redis ha.Single-threaded requests, all commands are executed serially, and there is no need to consider data consistency issues in the concurrency scenario.Support PUB/SUB Message subscription mechanism, can be used for message subscription and notification.Supports simple transaction requirements, but industry usage scenarios are rare and immature.Limita

performance, so the single instance CPU can reach 5-6wqps per second (depending on data structure, data size and server hardware performance, and the QPS peak in daily environments is around 1-2w). support simple transaction requirements, but the industry use of the scene is very small, immature, both advantages and disadvantages. Redis consumes more memory on string types, and can use Dict (hash table) to compress storage to reduce memory consumpt

is still in 5 seconds 1w~2w fluctuations, far less than the requirement of 20 seconds to write 20w records.　　Storage by acquisition deviceYes, the above structure per indicator for each value is a record, is not too much waste? Is it possible to use the acquisition device + acquisition time as a record? The question is, how to solve the problem of different acquisition device properties? At this time, a colleague to play the talent, monitoring indica

variable ordinal, and assigned. This paragraph is time consuming 35nsNe4:ALLOT1 (0.allot.0.1, 1.0,mem_xmub, mem_xmub. MAXLX1);R27.r26h = r0l; Save Block numberKy_init (); The block is initialized to a full 1;dmub.mlyxuw1.r0lr26l = 0; R28. r26h = 0X00FF;JMP NE2; This paragraph is time consuming 32.071us}releaseh{Entry: R0-R4, return R0: The unit number of the maximum number of consecutive units in a bitmap.R0-R4 = (0.release.1.0, the number of consecutive 1 digits released, dmub,dmub. MAXLX1, Un

mud ash) squint two or three hours, and then continue to dry, for one weeks in a row! Or you have to continue!Many people give a lot of ideas, but they seem to be useful and useless. Wait, why is "it seems useful, and it seems useless"? I seem to have grasped a direction in the faint, what is it exactly? By the way, verify that we are now running in the field environment, before no problem, does not mean that the current pressure is no problem, to analyze such a small function in a large system

Tags: partition slow log soc Default min eal namespace realloc log information1: Start three instances- /Home/mongodb/db27017/mongodb27017.conf -/ Home/mongodb/db27018/mongodb27018.conf -/ Home/mongodb/db27019/mongodb27019.conf The configuration file is as follows: Verbose=true #日志信息 vvvv=true #日志的级别 logpath=/Home/Mongodb/db27019/Log/Mongodb.Log#日志文件 logappend=true #设置文件记录格式TRUE为追加, false to overwrite P port= 27019#指定端口号 Maxconns= -#最大链接数, the default is the maximum of

lot of ideas, but they seem to be useful and useless. Wait, why is "it seems useful, and it seems useless"? I seem to have grasped a direction in the faint, what is it exactly? By the way, verify that we are now running in the field environment, before no problem, does not mean that the current pressure is no problem, to analyze such a small function in a large system, the impact is too big, we should break it down. Yes, it's "unit testing", which is the test of a single method, and we need to

Original link: http://blog.csdn.net/windren06/article/details/8188136Go A, b two tables, find the ID field, there is a table, but there is no data in table B. A total of 13w data, after the deduplication of about 3W data, b table has 2W data, and B table ID field is indexed.Method OneEasy to understand with not in, low efficiency ~ Execution Time: 1.395 seconds ~1 SELECT distinct a.id from A where a.id not in (select ID from B)Method TwoUse left Join

fluctuations, the actual does not affect. May affect some CPU count, but far from achieving my expectations, the speed of writing is still in 5 seconds 1w~2w fluctuations, far less than the requirement of 20 seconds to write 20w records. Storage by acquisition device Yes, the above structure per indicator for each value is a record, is not too much waste? Is it possible to use the acquisition device + acquisition time as a record? The ques

data query a lot faster. This feeling is very unreasonable, query should meger query faster. When using the generated SQL test, it was found that the creation index took up 99% of the time. The original business key of the view is not the primary key in the original table. After appending the original table to the corresponding index, the query is much faster. The associated tables are indexed one by one. After the above changes, the data page load page is very fast (around 0.1s). However, whe