// This program seeds the random-number generator // with the time, then displays 10 random integers. // #include <stdlib.h> #include <stdio.h> #include int main( void ) { int i; // Seed the random-number generator with current time so that // the numbers will be different every...
SELECT CAST(SUBSTRING(get_random_uuid(),1,10) AS UNSIGNED) AS random_number; 1. 2. 3. 4. 5. 6. ## 3. 类图 ```mermaid classDiagram class UUIDFunction { <<Function>> get_random_uuid() } class RandomNumberGenerator { generate_random_number() } class NumberConverter { convert_to_10...
Number of threads: 2 // 指定线程数为2 Initializing random number generator from current time Prime numbers limit: 20000 // 每个线程产生的素数上限均为2万个 Initializing worker threads... Threads started! CPU speed: events per second: 1955.47 // 所有线程每秒完成了650.74次event General statistics:...
Pseudo-Random Numbers Generator options: # 伪随机数发生器选项 --rand-type=STRING random numbers distribution {uniform,gaussian,special,pareto} [special] --rand-spec-iter=N number of iterations used for numbers generation [12] --rand-spec-pct=N percentage of values to be treated as 'special' ...
-- 生成 1 到 100 之间的随机整数 SELECT FLOOR(RAND() * 100) + 1 AS random_int; 问题3:在大量数据中生成随机数性能不佳 原因:在大数据量情况下,RAND()函数的性能可能受到影响。 解决方法:可以考虑使用其他随机化算法,或者在应用层生成随机数,再与数据库交互。
RANDOM_BYTES(len) This function returns a binary string oflenrandom bytes generated using the random number generator of the SSL library. Permitted values oflenrange from 1 to 1024. For values outside that range, an error occurs. ReturnsNULLiflenisNULL. ...
events=999999999 --rate=0 --histogram=on --report-interval=10 run sysbench 1.0.17 (using system LuaJIT 2.0.4) Running the test with following options: Number of threads: 16 Report intermediate results every 10 second(s) Initializing random number generator from current time Initializing worker ...
Initializing random number generator from current time Extra file open flags: directio 4 files, 5GiB each 20GiB total file size Block size 16KiB Number of IO requests: 0 Read/Write ratio for combined random IO test: 1.50 Calling fsync() at the end of test, Enabled. ...
Running the test with following options: Number of threads: 16 Initializing random number generator from current time Extra file open flags: (none) 5 files, 409.6MiB each 2GiB total file size Block size 16KiB Number of IO requests: 5000 Read/Write ratio for combined random IO test: 1.50 Ca...
The solution is to use the quite simple Park-Miller random number generator. The initial seed set to 1 because the the previously used generator wasn't being seeded -- the initial seed is 1 if srandom() is not called. Futhermore, the 'fast' mutex implementation has several shortcomings ...