GoBatch

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GoBatch is a batch processing framework in Go like Spring Batch in Java. If you are familiar with Spring Batch, you will find GoBatch very easy to use.

Architecture

In GoBatch, Job is divided into multiple Steps, the steps are executed successively. GoBatch will create a JobExecution data stored into database when executing a Job, also will create a StepExecution when executing a Step.

There are three types of step:

• Simple Step execute business logic defined in Handler in a single thread.
• Chunk Step process data by chunks. The process flow is reading a chunk of data, processing it, then writing output. The process is repeated until no more data to read.
• Partition Step split task into multiple sub tasks, then execute sub tasks parallelly in sub steps, and aggregate result of sub steps at last.

Features

• Modular construction for batch application
• Serial and parallel process flow on your need
• Break point to resume job
• Builtin file processing component
• Listeners for job and step execution
• Easy to extend

Install

go get -u github.com/supreness/batch

Use Step

1. Create or choose a database, eg: batch
2. Create tables from sql/schema_mysql.sql into previous database
3. Write batch code and run it

Code

Example

import (
	"chararch/batch"
	"context"
	"database/sql"
	"fmt"
)

// simple task
func mytask() {
	fmt.Println("mytask executed")
}

//reader
type myReader struct {
}
func (r *myReader) Read(chunkCtx *batch.ChunkContext) (interface{}, batch.BatchError) {
	curr, _ := chunkCtx.StepExecution.StepContext.GetInt("read.num", 0)
	if curr < 100 {
		chunkCtx.StepExecution.StepContext.Put("read.num", curr+1)
		return fmt.Sprintf("value-%v", curr), nil
	}
	return nil, nil
}

//processor
type myProcessor struct {
}
func (r *myProcessor) Process(item interface{}, chunkCtx *batch.ChunkContext) (interface{}, batch.BatchError) {
	return fmt.Sprintf("processed-%v", item), nil
}

//writer
type myWriter struct {
}
func (r *myWriter) Write(items []interface{}, chunkCtx *batch.ChunkContext) batch.BatchError {
	fmt.Printf("write: %v\n", items)
	return nil
}

func main()  {
	//set db for batch to store job&step execution context
	db, err := sql.Open("mysql", "batch:batch123@tcp(127.0.0.1:3306)/batch?charset=utf8&parseTime=true")
	if err != nil {
		panic(err)
	}
	batch.SetDB(db)

	//build steps
	step1 := batch.NewStep("mytask").Handler(mytask).Build()
	//step2 := batch.NewStep("my_step").Handler(&myReader{}, &myProcessor{}, &myWriter{}).Build()
	step2 := batch.NewStep("my_step").Reader(&myReader{}).Processor(&myProcessor{}).Writer(&myWriter{}).ChunkSize(10).Build()

	//build job
	job := batch.NewJob("my_job").Step(step1, step2).Build()

	//register job to batch
	batch.Register(job)

	//run
	//batch.StartAsync(context.Background(), job.Name(), "")
	batch.Start(context.Background(), job.Name(), "")
}

You can look at the code in test/example.go

Write a Simple step

There are several methods to write a simple step logic:

// 1. write a function with one of the following signature
func(execution *StepExecution) BatchError
func(execution *StepExecution)
func() error
func()

// 2. implement the Handler interface
type Handler interface {
	Handle(execution *StepExecution) BatchError
}

Once you wrote the function or Handler interface implementation, you can build step like this:

step1 := batch.NewStep("step1").Handler(myfunction).Build()
step2 := batch.NewStep("step2").Handler(myHandler).Build()
//or
step1 := batch.NewStep("step1", myfunction).Build()
step2 := batch.NewStep("step2", myHandler).Build()

Write a Chunk step

To build a chunk step, you should implement the following interfaces, only the Reader is required:

type Reader interface {
    //Read each call of Read() will return a data item, if there is no more data, a nil item will be returned.
    Read(chunkCtx *ChunkContext) (interface{}, BatchError)
}
type Processor interface {
    //Process process an item from reader and return a result item
    Process(item interface{}, chunkCtx *ChunkContext) (interface{}, BatchError)
}
type Writer interface {
    //Write write items generated by processor in a chunk
    Write(items []interface{}, chunkCtx *ChunkContext) BatchError
}

There is another interface named ItemReader, which you can use instead of Reader:

type ItemReader interface {
    //ReadKeys read all keys of some kind of data
    ReadKeys() ([]interface{}, error)
    //ReadItem read value by one key from ReadKeys result
    ReadItem(key interface{}) (interface{}, error)
}

For convenience, you can implement the following interface along with Reader or Writer to do some initialization or cleanup:

type OpenCloser interface {
	Open(execution *StepExecution) BatchError
	Close(execution *StepExecution) BatchError
}

You could see the chunk step example under test/example2

Write a Partition step

you can implement the Partitioner interface to split a step into multiple sub steps, optionally you can implement the Aggregator interface if you want to do some aggregation after all sub steps completed:

type Partitioner interface {
	//Partition generate sub step executions from specified step execution and partitions count
	Partition(execution *StepExecution, partitions uint) ([]*StepExecution, BatchError)
	//GetPartitionNames generate sub step names from specified step execution and partitions count
	GetPartitionNames(execution *StepExecution, partitions uint) []string
}

type Aggregator interface {
    //Aggregate aggregate result from all sub step executions
    Aggregate(execution *StepExecution, subExecutions []*StepExecution) BatchError
}

If you already have a chunk step with an ItemReader, you can easily build a partition step nothing more than specifying partitions count:

    step := batch.NewStep("partition_step").Handler(&ChunkHandler{db}).Partitions(10).Build()

Read & Write File

Suppose a file with the following content(each field seperated by a '\t'):

trade_1	account_1	cash	1000	normal	2022-02-27 12:12:12
trade_2	account_2	cash	1000	normal	2022-02-27 12:12:12
trade_3	account_3	cash	1000	normal	2022-02-27 12:12:12
……

We want to read the content and insert each record into a database table named 't_trade', then we do it this way:

type Trade struct {
    TradeNo   string    `order:"0"`
    AccountNo string    `order:"1"`
    Type      string    `order:"2"`
    Amount    float64   `order:"3"`
    TradeTime time.Time `order:"5"`
    Status    string    `order:"4"`
}

var tradeFile = file.FileObjectModel{
    FileStore:     &file.LocalFileSystem{},
    FileName:      "/data/{date,yyyy-MM-dd}/trade.data",
    Type:          file.TSV,
    Encoding:      "utf-8",
    ItemPrototype: &Trade{},
}

type TradeWriter struct {
    db *gorm.DB
}

func (p *TradeWriter) Write(items []interface{}, chunkCtx *batch.ChunkContext) batch.BatchError {
    models := make([]*Trade, len(items))
    for i, item := range items {
        models[i] = item.(*Trade)
    }
    e := p.db.Table("t_trade").Create(models).Error
    if e != nil {
        return batch.NewBatchError(batch.ErrCodeDbFail, "save trade into db err", e)
    }
    return nil
}

func buildAndRunJob() {
    //...
    step := batch.NewStep("trade_import").ReadFile(tradeFile).Writer(&TradeWriter{db}).Partitions(10).Build()
    //...
    job := batch.NewJob("my_job").Step(...,step,...).Build()
    batch.Register(job)
    batch.Start(context.Background(), job.Name(), "{\"date\":\"20220202\"}")
}

Suppose we want export data in 't_trade' to a csv file, we can do like this:

type Trade struct {
    TradeNo   string    `order:"0" header:"trade_no"`
    AccountNo string    `order:"1" header:"account_no"`
    Type      string    `order:"2" header:"type"`
    Amount    float64   `order:"3" header:"amount"`
    TradeTime time.Time `order:"5" header:"trade_time" format:"2006-01-02_15:04:05"`
    Status    string    `order:"4" header:"trade_no"`
}

var tradeFileCsv = file.FileObjectModel{
    FileStore:     &file.LocalFileSystem{},
    FileName:      "/data/{date,yyyy-MM-dd}/trade_export.csv",
    Type:          file.CSV,
    Encoding:      "utf-8",
    ItemPrototype: &Trade{},
}


type TradeReader struct {
    db *gorm.DB
}

func (h *TradeReader) ReadKeys() ([]interface{}, error) {
    var ids []int64
    h.db.Table("t_trade").Select("id").Find(&ids)
    var result []interface{}
    for _, id := range ids {
        result = append(result, id)
    }
    return result, nil
}

func (h *TradeReader) ReadItem(key interface{}) (interface{}, error) {
    id := int64(0)
    switch r := key.(type) {
    case int64:
        id = r
    case float64:
        id = int64(r)
    default:
        return nil, fmt.Errorf("key type error, type:%T, value:%v", key, key)
    }
    trade := &Trade{}
    result := h.db.Table("t_trade").Find(trade, "id = ?", id)
    if result.Error != nil {
        return nil, result.Error
    }
    return trade, nil
}

func buildAndRunJob() {
    //...
    step := batch.NewStep("trade_export").Reader(&TradeReader{db}).WriteFile(tradeFileCsv).Partitions(10).Build()
    //...
}

Listeners

There are different listeners for the lifecycle of job and step execution:

type JobListener interface {
	BeforeJob(execution *JobExecution) BatchError
	AfterJob(execution *JobExecution) BatchError
}

type StepListener interface {
	BeforeStep(execution *StepExecution) BatchError
	AfterStep(execution *StepExecution) BatchError
}

type ChunkListener interface {
	BeforeChunk(context *ChunkContext) BatchError
	AfterChunk(context *ChunkContext) BatchError
	OnError(context *ChunkContext, err BatchError)
}

type PartitionListener interface {
	BeforePartition(execution *StepExecution) BatchError
	AfterPartition(execution *StepExecution, subExecutions []*StepExecution) BatchError
	OnError(execution *StepExecution, err BatchError)
}

You can specify listeners during building job:

func buildAndRunJob() {
    //...
    step := batch.NewStep("my_step").Handler(handler,...).Listener(listener,...).Build()
    //...
    job := batch.NewJob("my_job").Step(step,...).Listener(listener,...).Build()
}

Global Settings

SetDB

GoBatch needs a database to store job and step execution contexts, so you must pass a *sql.DB instance to GoBatch before running job.

    batch.SetDB(sqlDb)

SetTransactionManager

If you are trying to build a chunk step, you must register a TransactionManager instance to GoBatch, the interface is:

type TransactionManager interface {
	BeginTx() (tx interface{}, err BatchError)
	Commit(tx interface{}) BatchError
	Rollback(tx interface{}) BatchError
}

GoBatch has a DefaultTxManager, if you have set DB and have no TransactionManager set yet, GoBatch also create a DefaultTxManager instance for you.

SetMaxRunningJobs & SetMaxRunningSteps

GoBatch has internal TaskPools to run jobs and steps, the max running jobs and steps are limited by the pool size. The default value of the max running jobs and steps are 10, 1000. You can change the default settings by:

    batch.SetMaxRunningJobs(100)
    batch.SetMaxRunningSteps(5000)