golang performance benchmark

, the JVM will have a more than normal partition when calculating the memory footprint of the heap internal partitions (perm, new, old). In the worst case scenario, a zone occupies more than one page size. However, subsequent JVM versions are also adjusting this strategy. In general, it is not recommended to adjust the page size too large, 4-64m, is acceptable (default is 4M). To set this value reasonably, you should do a benchmark on your system.To t

This is a created article in which the information may have evolved or changed. Golang Performance Test package is located under the Net/http package of Pprof, the relevant introduction can refer to the specific official documents The Golang performance test is particularly easy to use, with the introduction of the

Golang Map is a convenient operation for Golang Key-valuePackage Mainimport ("FMT" "Math/rand" "Time" _ "StrConv") var x = Make (Map[int]int, 100000001)//var x = Make (map[string] String, 100000001) Func main () {ttime: = time. Now (). Unixnano ()//x: = Make (Map[int]int, 100000001)//x: = [100000001]int{}fmt.Printf ("Len x%d \ n", Len (x)) for I: = 1;i Summarize:1, test results make (Map[int]int, 1.0,000,00

, sqlstmt)return } //CREATE INDEX, index and no index performance difference is huge, is not a magnitude, interested can be removed try_, Err = db. Exec ("CREATE INDEX Inx_c_code on BC (C_code);") ifErr! =Nil {fmt. Println ("CREATE INDEX Error->%q:%s\n", err, sqlstmt)return } //Write 10M recordStart: =Time . Now (). Unix () TX, err:=db. Begin ()ifErr! =Nil {fmt. Println ("%q", Err)} stmt, err:= Tx. Prepare ("INSERT into BC (B_code, C_co

This is a creation in Article, where the information may have evolved or changed. Go official should be more recommended to use ChanHttps://github.com/golang/go/wiki/MutexOrChannel The following code is used to test performance-not to make sure that the idea is correct. PackageMainImport("FMT" "Sync" "Time")typeOpstruct{KeyintValint}varLock sync. MutexvarM1Map[int]intvarM2Map[int]intvarMaxint=50000fu

Why analyze the performance of GOB serialization formats I made it up. A one-way synchronization software (Https://gitee.com/rocket049/mysync), mixed RPC and HTTP server functions, the use of RPC control functions, HTTP data upload. Recently, I intentionally simplified its construction, the HTTP upload function is also implemented in the RPC way. But I worry about the performance degradation, because the us

This is a creation in Article, where the information may have evolved or changed. Performance comparison Insert 10 million records to compare memory usage size and insertion time. Test machine configuration Intel (R) Core (TM) i3-4000m CPU @2.40ghz 2.40GHz 12.0GB Memory Front-facing conditions Go, avoid the memory copy when expanding capacity, the size of the initialization volume is 13333333. Make (map[int]int,13333333) Java, avoid memory copy when e

This is a creation in Article, where the information may have evolved or changed. > article is mainly for reference * * Rain SCAR Academy (subscription number) * * and other netizens blog and then according to their own understanding of the collation. # # string and []byte mutual conversion in the process of writing a program often encounter string and []byte conversion, but this conversion is a cost, string and []byte does not share the underlying memory space, so each conversion is accompanied

", }, Birthday:time.Now(), } bt,err:=s.MarshalJSON() fmt.Println(string(bt),err) json:=`{"id":11,"s_name":"qq","s_chool":{"name":"CUMT","addr":"xz"},"birthday":"2017-08-04T20:58:07.9894603+08:00"}` ss:=easyjson.Student{} ss.UnmarshalJSON([]byte(json)) fmt.Println(ss)} Operation Result: {"id":11,"s_name":"qq","s_chool":{"name":"CUMT","addr":"xz"},"birthday":"2017-08-04T20:58:07.9894603+08:00"} Performance Test Compar