Github: https://github.com/aceld/kis-flow
Dokumen: https://github.com/acceld/kis-flow/wiki
Bahagian1-Paparan Keseluruhan
Bahagian2.1-Pembinaan Projek / Modul Asas
Bahagian2.2-Pembinaan Projek / Modul Asas
Bahagian3-Strim Data
Bahagian4-Penjadualan Fungsi
Bahagian5-Penyambung
Bahagian6-Konfigurasi Import dan Eksport
Bahagian7-KisFlow Action
Bahagian8-Cache/Params Caching Data dan Parameter Data
Bahagian9-Berbilang Salinan Aliran
Bahagian10-Statistik Metrik Prometheus
Bahagian11-Pendaftaran Adaptif Jenis Parameter FaaS Berdasarkan Refleksi
Kes1-Permulaan Pantas
Kes2-Kendalian Selari Aliran
Kes3-Penggunaan KisFlow dalam Pelbagai Goroutine
Case4-KisFlow dalam Aplikasi Baris Mesej (MQ)
$go get github.com/aceld/kis-flow
Dokumentasi Pembangun KisFlow
https://github.com/acceld/kis-flow-usage/tree/main/8-connector
KisFlow Boleh Mencapai Gabungan Dua Aliran melalui Penyambung
Menggunakan gabungan dua aliran berikut, pengenalan ini akan merangkumi antara muka dan penggunaan Penyambung.
Andaikan pelajar mempunyai empat sifat:
Student ID: stu_id Credit 1: score_1 Credit 2: score_2 Credit 3: score_3
Tentukan Aliran1: CalStuAvgScore-1-2 untuk mengira purata skor pelajar bagi Kredit 1 (skor_1) dan Kredit 2 (skor_2) (purata_skor_1_2).
Tentukan Aliran2: CalStuAvgScore-3 untuk mengira purata skor pelajar bagi Kredit 3 (skor_3) dan purata_skor_1_2, iaitu purata Kredit 1, Kredit 2 dan Kredit 3. Purata Kredit 1 dan Kredit 2 disediakan oleh Flow1.
Flow1 terdiri daripada 4 fungsi:
V (Fungsi: VerifyStu) untuk mengesahkan kesahihan StuId
C (Fungsi: AvgStuScore12) untuk mengira skor purata Kredit 1 dan Kredit 2
S (Fungsi: SaveScoreAvg12) untuk menyimpan avg_score_1_2 dalam Redis
E (Fungsi: PrintStuAvgScore) untuk mencetak purata skor Kredit 1 dan Kredit 2.
Flow2 terdiri daripada 4 fungsi:
V (Fungsi: VerifyStu) untuk mengesahkan kesahihan StuId
L (Fungsi: LoadScoreAvg12) untuk membaca purata skor pelajar semasa bagi Kredit 1 dan Kredit 2 (avg_skor_1_2) yang dikira oleh Flow1
C (Fungsi: AvgStuScore3) untuk mengira purata skor Kredit 3 dan purata skor Kredit 1 dan Kredit 2
E (Fungsi: PrintStuAvgScore) untuk mencetak purata skor Kredit 1, Kredit 2 dan Kredit 3.
conf/func/func-AvgStuScore-3.yml
kistype: func fname: AvgStuScore3 fmode: Calculate source: name: SourceStuScore must: - stu_id
conf/func/func-LoadScoreAvg-1-2.yml
kistype: func fname: LoadScoreAvg12 fmode: Load source: name: SourceStuScore must: - stu_id option: cname: Score12Cache
stu_proto.go
package main type StuScore1_2 struct { StuId int `json:"stu_id"` Score1 int `json:"score_1"` Score2 int `json:"score_2"` } type StuScoreAvg struct { StuId int `json:"stu_id"` AvgScore float64 `json:"avg_score"` } type StuScore3 struct { StuId int `json:"stu_id"` AvgScore12 float64 `json:"avg_score_1_2"` // score_1, score_2 avg Score3 int `json:"score_3"` }
Penyambung yang ditakrifkan dalam projek ini, Score12Cache, ialah sumber pautan yang dikaitkan dengan Redis. Penyambung ini memerlukan kaedah permulaan untuk mewujudkan sambungan apabila KisFlow bermula.
conn_init.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/log" "github.com/go-redis/redis/v8" ) // type ConnInit func(conn Connector) error func InitScore12Cache(connector kis.Connector) error { fmt.Println("===> Call Connector InitScore12Cache") // init Redis Conn Client rdb := redis.NewClient(&redis.Options{ Addr: connector.GetConfig().AddrString, // Redis-Server address Password: "", // password DB: 0, // select db }) // Ping test pong, err := rdb.Ping(context.Background()).Result() if err != nil { log.Logger().ErrorF("Failed to connect to Redis: %v", err) return err } fmt.Println("Connected to Redis:", pong) // set rdb to connector connector.SetMetaData("rdb", rdb) return nil }
Di sini, tika Redis yang berjaya disambungkan disimpan dalam pembolehubah cache penyambung "rdb."
// set rdb to connector connector.SetMetaData("rdb", rdb)
faas_stu_verify.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/serialize" ) type VerifyStuIn struct { serialize.DefaultSerialize StuId int `json:"stu_id"` } func VerifyStu(ctx context.Context, flow kis.Flow, rows []*VerifyStuIn) error { fmt.Printf("->Call Func VerifyStu\n") for _, stu := range rows { // Filter out invalid data if stu.StuId < 0 || stu.StuId > 999 { // Terminate the current Flow process, subsequent functions of the current Flow will not be executed return flow.Next(kis.ActionAbort) } } return flow.Next(kis.ActionDataReuse) }
VerifyStu() digunakan untuk mengesahkan data. Jika data tidak memenuhi keperluan, aliran data semasa ditamatkan. Akhirnya, data digunakan semula dan dihantar ke lapisan seterusnya melalui aliran. Seterusnya(kis.ActionDataReuse).
faas_avg_skor_1_2.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/serialize" ) type AvgStuScoreIn_1_2 struct { serialize.DefaultSerialize StuScore1_2 } type AvgStuScoreOut_1_2 struct { serialize.DefaultSerialize StuScoreAvg } func AvgStuScore12(ctx context.Context, flow kis.Flow, rows []*AvgStuScoreIn_1_2) error { fmt.Printf("->Call Func AvgStuScore12\n") for _, row := range rows { out := AvgStuScoreOut_1_2{ StuScoreAvg: StuScoreAvg{ StuId: row.StuId, AvgScore: float64(row.Score1+row.Score2) / 2, }, } // Submit result data _ = flow.CommitRow(out) } return flow.Next() }
AvgStuScore12() mengira purata skor skor_1 dan skor_2, menghasilkan purata_skor.
faas_save_score_avg_1_2.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/serialize" "github.com/go-redis/redis/v8" "strconv" ) type SaveStuScoreIn struct { serialize.DefaultSerialize StuScoreAvg } func BatchSetStuScores(ctx context.Context, conn kis.Connector, rows []*SaveStuScoreIn) error { var rdb *redis.Client // Get Redis Client rdb = conn.GetMetaData("rdb").(*redis.Client) // Set data to redis pipe := rdb.Pipeline() for _, score := range rows { // make key key := conn.GetConfig().Key + strconv.Itoa(score.StuId) pipe.HMSet(context.Background(), key, map[string]interface{}{ "avg_score": score.AvgScore, }) } _, err := pipe.Exec(ctx) if err != nil { return err } return nil } func SaveScoreAvg12(ctx context.Context, flow kis.Flow, rows []*SaveStuScoreIn) error { fmt.Printf("->Call Func SaveScoreAvg12\n") conn, err := flow.GetConnector() if err != nil { fmt.Printf("SaveScoreAvg12(): GetConnector err = %s\n", err.Error()) return err } if BatchSetStuScores(ctx, conn, rows) != nil { fmt.Printf("SaveScoreAvg12(): BatchSetStuScores err = %s\n", err.Error()) return err } return flow.Next(kis.ActionDataReuse) }
SaveScoreAvg12() menyimpan data dalam Redis melalui Penyambung terikat, menggunakan kekunci yang dikonfigurasikan dalam Penyambung. Akhir sekali, data sumber dihantar secara telus ke fungsi seterusnya.
faas_stu_score_avg_print.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/serialize" ) type PrintStuAvgScoreIn struct { serialize.DefaultSerialize StuId int `json:"stu_id"` AvgScore float64 `json:"avg_score"` } func PrintStuAvgScore(ctx context.Context, flow kis.Flow, rows []*PrintStuAvgScoreIn) error { fmt.Printf("->Call Func PrintStuAvgScore, in Flow[%s]\n", flow.GetName()) for _, row := range rows { fmt.Printf("stuid: [%+v], avg score: [%+v]\n", row.StuId, row.AvgScore) } return flow.Next() }
PrintStuAvgScore() mencetak purata skor pelajar semasa.
faas_load_score_avg_1_2.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/serialize" "github.com/go-redis/redis/v8" "strconv" ) type LoadStuScoreIn struct { serialize.DefaultSerialize StuScore3 } type LoadStuScoreOut struct { serialize.DefaultSerialize StuScore3 } func GetStuScoresByStuId(ctx context.Context, conn kis.Connector, stuId int) (float64, error) { var rdb *redis.Client // Get Redis Client rdb = conn.GetMetaData("rdb").(*redis.Client) // make key key := conn.GetConfig().Key + strconv.Itoa(stuId) // get data from redis result, err := rdb.HGetAll(ctx, key).Result() if err != nil { return 0, err } // get value avgScoreStr, ok := result["avg_score"] if !ok { return 0, fmt.Errorf("avg_score not found for stuId: %d", stuId) } // parse to float64 avgScore, err := strconv.ParseFloat(avgScoreStr, 64) if err != nil { return 0, err } return avgScore, nil } func LoadScoreAvg12(ctx context.Context, flow kis.Flow, rows []*LoadStuScoreIn) error { fmt.Printf("->Call Func LoadScoreAvg12\n") conn, err := flow.GetConnector() if err != nil { fmt.Printf("LoadScoreAvg12(): GetConnector err = %s\n", err.Error()) return err } for _, row := range rows { stuScoreAvg1_2, err := GetStuScoresByStuId(ctx, conn, row.StuId) if err != nil { fmt.Printf("LoadScoreAvg12(): GetStuScoresByStuId err = %s\n", err.Error()) return err } out := LoadStuScoreOut{ StuScore3: StuScore3{ StuId: row.StuId, Score3: row.Score3, AvgScore12: stuScoreAvg1_2, // avg score of score1 and score2 (load from redis) }, } // commit result _ = flow.CommitRow(out) } return flow.Next() }
LoadScoreAvg12() reads the average score of score_1 and score_2 from Redis through the linked resource Redis of the bound Connector using the key configured in the Connector. It then sends the source data from upstream, along with the newly read average score of score1 and score2, to the next layer.
faas_stu_score_avg_3.go
package main import ( "context" "fmt" "github.com/aceld/kis-flow/kis" "github.com/aceld/kis-flow/serialize" ) type AvgStuScore3In struct { serialize.DefaultSerialize StuScore3 } type AvgStuScore3Out struct { serialize.DefaultSerialize StuScoreAvg } func AvgStuScore3(ctx context.Context, flow kis.Flow, rows []*AvgStuScore3In) error { fmt.Printf("->Call Func AvgStuScore3\n") for _, row := range rows { out := AvgStuScore3Out{ StuScoreAvg: StuScoreAvg{ StuId: row.StuId, AvgScore: (float64(row.Score3) + row.AvgScore12*2) / 3, }, } // Submit result data _ = flow.CommitRow(out) } return flow.Next() }
AvgStuScore3() recalculates the average score of three scores by adding score_3 and the average score of score_1 and score_2, resulting in the final average score avg_score.
main.go
func init() { // Register functions kis.Pool().FaaS("VerifyStu", VerifyStu) kis.Pool().FaaS("AvgStuScore12", AvgStuScore12) kis.Pool().FaaS("SaveScoreAvg12", SaveScoreAvg12) kis.Pool().FaaS("PrintStuAvgScore", PrintStuAvgScore) kis.Pool().FaaS("LoadScoreAvg12", LoadScoreAvg12) kis.Pool().FaaS("AvgStuScore3", AvgStuScore3) // Register connectors kis.Pool().CaaSInit("Score12Cache", InitScore12Cache) }
main.go
package main import ( "context" "github.com/aceld/kis-flow/file" "github.com/aceld/kis-flow/kis" "sync" ) func RunFlowCalStuAvgScore12(ctx context.Context, flow kis.Flow) error { // Commit data _ = flow.CommitRow(`{"stu_id":101, "score_1":100, "score_2":90}`) _ = flow.CommitRow(`{"stu_id":102, "score_1":100, "score_2":80}`) // Run the flow if err := flow.Run(ctx); err != nil { return err } return nil } func RunFlowCalStuAvgScore3(ctx context.Context, flow kis.Flow) error { // Commit data _ = flow.CommitRow(`{"stu_id":101, "score_3": 80}`) _ = flow.CommitRow(`{"stu_id":102, "score_3": 70}`) // Run the flow if err := flow.Run(ctx); err != nil { return err } return nil } func main() { ctx := context.Background() // Load Configuration from file if err := file.ConfigImportYaml("conf/"); err != nil { panic(err) } var wg sync.WaitGroup wg.Add(2) go func() { // Run flow1 concurrently defer wg.Done() flow1 := kis.Pool().GetFlow("CalStuAvgScore12") if flow1 == nil { panic("flow1 is nil") } if err := RunFlowCalStuAvgScore12(ctx, flow1); err != nil { panic(err) } }() go func() { // Run flow2 concurrently defer wg.Done() flow2 := kis.Pool().GetFlow("CalStuAvgScore3") if flow2 == nil { panic("flow2 is nil") } if err := RunFlowCalStuAvgScore3(ctx, flow2); err != nil { panic(err) } }() wg.Wait() return }
Two Goroutines are launched concurrently to execute Flow1 and Flow2, calculating the final average scores for student 101 and student 102.
===> Call Connector InitScore12Cache Connected to Redis: PONG Add FlowRouter FlowName=CalStuAvgScore12 ===> Call Connector InitScore12Cache Connected to Redis: PONG Add FlowRouter FlowName=CalStuAvgScore3 ->Call Func VerifyStu ->Call Func VerifyStu ->Call Func AvgStuScore12 ->Call Func LoadScoreAvg12 ->Call Func SaveScoreAvg12 ->Call Func PrintStuAvgScore, in Flow[CalStuAvgScore12] stuid: [101], avg score: [95] stuid: [102], avg score: [90] ->Call Func AvgStuScore3 ->Call Func PrintStuAvgScore, in Flow[CalStuAvgScore3] stuid: [101], avg score: [90] stuid: [102], avg score: [83.33333333333333]
In Flow[CalStuAvgScore3], we observe the final computed average scores for scores 1, 2, and 3.
Author: Aceld
GitHub: https://github.com/aceld
KisFlow Open Source Project Address: https://github.com/aceld/kis-flow
Document: https://github.com/aceld/kis-flow/wiki
Part1-OverView
Part2.1-Project Construction / Basic Modules
Part2.2-Project Construction / Basic Modules
Part3-Data Stream
Part4-Function Scheduling
Part5-Connector
Part6-Configuration Import and Export
Part7-KisFlow Action
Part8-Cache/Params Data Caching and Data Parameters
Part9-Multiple Copies of Flow
Part10-Prometheus Metrics Statistics
Part11-Adaptive Registration of FaaS Parameter Types Based on Reflection
Case1-Quick Start
Case2-Flow Parallel Operation
Case3-Application of KisFlow in Multi-Goroutines
Case4-KisFlow in Message Queue (MQ) Applications
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