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# Mengkonfigurasi respons batch sebagian dengan DynamoDB dan Lambda
<a name="services-ddb-batchfailurereporting"></a>

Ketika menggunakan dan memproses data streaming dari sumber peristiwa, secara default Lambda memeriksa urutan nomor tertinggi batch hanya ketika batch berhasil diselesaikan. Lambda memperlakukan semua hasil lain sebagai sepenuhnya gagal dan mencoba lagi pemrosesan batch hingga batas coba lagi. Untuk memungkinkan keberhasilan parsial saat memproses batch dari aliran, aktifkan `ReportBatchItemFailures`. Mengizinkan keberhasilan parsial dapat membantu mengurangi jumlah percobaan ulang pada catatan, meskipun tidak sepenuhnya mencegah kemungkinan percobaan ulang dalam catatan yang sukses.

Untuk mengaktifkan `ReportBatchItemFailures`, masukkan nilai enum **ReportBatchItemFailures** dalam daftar [FunctionResponseTypes](https://docs.aws.amazon.com/lambda/latest/api/API_CreateEventSourceMapping.html#lambda-CreateEventSourceMapping-request-FunctionResponseTypes). Daftar ini menunjukkan tipe respon yang diaktifkan untuk fungsi Anda. Anda dapat mengonfigurasi daftar ini saat [membuat](https://docs.aws.amazon.com/lambda/latest/api/API_CreateEventSourceMapping.html) atau [memperbarui](https://docs.aws.amazon.com/lambda/latest/api/API_UpdateEventSourceMapping.html) pemetaan sumber peristiwa.

**catatan**  
Bahkan ketika kode fungsi Anda mengembalikan respons kegagalan sebagian batch, respons ini tidak akan diproses oleh Lambda kecuali `ReportBatchItemFailures` fitur tersebut diaktifkan secara eksplisit untuk pemetaan sumber acara Anda.

## Sintaks laporan
<a name="streams-batchfailurereporting-syntax"></a>

Saat mengonfigurasi pelaporan pada kegagalan item batch, kelas `StreamsEventResponse` dikembalikan dengan daftar kegagalan item batch. Anda dapat menggunakan objek `StreamsEventResponse` untuk mengembalikan nomor urutan catatan gagal pertama dalam batch. Anda juga dapat membuat kelas kustom Anda sendiri menggunakan sintaks respons yang benar. Struktur JSON berikut menunjukkan sintaks respons yang diperlukan:

```
{ 
  "batchItemFailures": [ 
        {
            "itemIdentifier": "<SequenceNumber>"
        }
    ]
}
```

**catatan**  
Jika `batchItemFailures` array berisi beberapa item, Lambda menggunakan catatan dengan nomor urut terendah sebagai pos pemeriksaan. Lambda kemudian mencoba kembali semua catatan mulai dari pos pemeriksaan itu.

## Status berhasil dan gagal
<a name="streams-batchfailurereporting-conditions"></a>

Lambda memperlakukan batch sebagai sepenuhnya berhasil jika Anda mengembalikan salah satu dari berikut:
+ Daftar `batchItemFailure` kosong
+ Daftar `batchItemFailure` nol
+ `EventResponse` kosong
+ `EventResponse` nol

Lambda memperlakukan batch sebagai sepenuhnya gagal jika Anda mengembalikan salah satu dari berikut:
+ String `itemIdentifier` kosong
+ `itemIdentifier` nol
+ `itemIdentifier` dengan nama kunci yang buruk

Lambda mencoba kembali kegagalan berdasarkan strategi coba lagi Anda.

## Membagi batch
<a name="streams-batchfailurereporting-bisect"></a>

Jika invokasi Anda gagal dan `BisectBatchOnFunctionError` diaktifkan, batch dibagi terlepas dari pengaturan `ReportBatchItemFailures` Anda.

Ketika respons berhasil batch parsial diterima dan kedua `BisectBatchOnFunctionError` dan `ReportBatchItemFailures` diaktifkan, batch dibagi dua di nomor urutan yang dikembalikan dan Lambda mencoba hanya catatan yang tersisa.

Untuk menyederhanakan implementasi logika respons batch sebagian, pertimbangkan untuk menggunakan [utilitas Prosesor Batch](https://docs.powertools.aws.dev/lambda/python/latest/utilities/batch/) dari Powertools untuk AWS Lambda, yang secara otomatis menangani kompleksitas ini untuk Anda.

Berikut adalah beberapa contoh kode fungsi yang mengembalikan daftar pesan gagal IDs dalam batch:

------
#### [ .NET ]

**SDK untuk .NET**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan.NET.  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
using System.Text.Json;
using System.Text;
using Amazon.Lambda.Core;
using Amazon.Lambda.DynamoDBEvents;

// Assembly attribute to enable the Lambda function's JSON input to be converted into a .NET class.
[assembly: LambdaSerializer(typeof(Amazon.Lambda.Serialization.SystemTextJson.DefaultLambdaJsonSerializer))]

namespace AWSLambda_DDB;

public class Function
{
    public StreamsEventResponse FunctionHandler(DynamoDBEvent dynamoEvent, ILambdaContext context)

    {
        context.Logger.LogInformation($"Beginning to process {dynamoEvent.Records.Count} records...");
        List<StreamsEventResponse.BatchItemFailure> batchItemFailures = new List<StreamsEventResponse.BatchItemFailure>();
        StreamsEventResponse streamsEventResponse = new StreamsEventResponse();

        foreach (var record in dynamoEvent.Records)
        {
            try
            {
                var sequenceNumber = record.Dynamodb.SequenceNumber;
                context.Logger.LogInformation(sequenceNumber);
            }
            catch (Exception ex)
            {
                context.Logger.LogError(ex.Message);
                batchItemFailures.Add(new StreamsEventResponse.BatchItemFailure() { ItemIdentifier = record.Dynamodb.SequenceNumber });
            }
        }

        if (batchItemFailures.Count > 0)
        {
            streamsEventResponse.BatchItemFailures = batchItemFailures;
        }

        context.Logger.LogInformation("Stream processing complete.");
        return streamsEventResponse;
    }
}
```

------
#### [ Go ]

**SDK untuk Go V2**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan Go.  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
package main

import (
	"context"
	"github.com/aws/aws-lambda-go/events"
	"github.com/aws/aws-lambda-go/lambda"
)

type BatchItemFailure struct {
	ItemIdentifier string `json:"ItemIdentifier"`
}

type BatchResult struct {
	BatchItemFailures []BatchItemFailure `json:"BatchItemFailures"`
}

func HandleRequest(ctx context.Context, event events.DynamoDBEvent) (*BatchResult, error) {
	var batchItemFailures []BatchItemFailure
	curRecordSequenceNumber := ""

	for _, record := range event.Records {
		// Process your record
		curRecordSequenceNumber = record.Change.SequenceNumber
	}

	if curRecordSequenceNumber != "" {
		batchItemFailures = append(batchItemFailures, BatchItemFailure{ItemIdentifier: curRecordSequenceNumber})
	}
	
	batchResult := BatchResult{
		BatchItemFailures: batchItemFailures,
	}

	return &batchResult, nil
}

func main() {
	lambda.Start(HandleRequest)
}
```

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan Java.  

```
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
import com.amazonaws.services.lambda.runtime.Context;
import com.amazonaws.services.lambda.runtime.RequestHandler;
import com.amazonaws.services.lambda.runtime.events.DynamodbEvent;
import com.amazonaws.services.lambda.runtime.events.StreamsEventResponse;
import com.amazonaws.services.lambda.runtime.events.models.dynamodb.StreamRecord;

import java.util.ArrayList;
import java.util.List;

public class ProcessDynamodbRecords implements RequestHandler<DynamodbEvent, StreamsEventResponse> {

    @Override
    public StreamsEventResponse handleRequest(DynamodbEvent input, Context context) {

        List<StreamsEventResponse.BatchItemFailure> batchItemFailures = new ArrayList<>();
        String curRecordSequenceNumber = "";

        for (DynamodbEvent.DynamodbStreamRecord dynamodbStreamRecord : input.getRecords()) {
          try {
                //Process your record
                StreamRecord dynamodbRecord = dynamodbStreamRecord.getDynamodb();
                curRecordSequenceNumber = dynamodbRecord.getSequenceNumber();
                
            } catch (Exception e) {
                /* Since we are working with streams, we can return the failed item immediately.
                   Lambda will immediately begin to retry processing from this failed item onwards. */
                batchItemFailures.add(new StreamsEventResponse.BatchItemFailure(curRecordSequenceNumber));
                return new StreamsEventResponse(batchItemFailures);
            }
        }
       
       return new StreamsEventResponse();   
    }
}
```

------
#### [ JavaScript ]

**SDK untuk JavaScript (v3)**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan penggunaan Lambda. JavaScript  

```
export const handler = async (event) => {
  const records = event.Records;
  let curRecordSequenceNumber = "";

  for (const record of records) {
    try {
      // Process your record
      curRecordSequenceNumber = record.dynamodb.SequenceNumber;
    } catch (e) {
      // Return failed record's sequence number
      return { batchItemFailures: [{ itemIdentifier: curRecordSequenceNumber }] };
    }
  }

  return { batchItemFailures: [] };
};
```
Melaporkan kegagalan item batch DynamoDB dengan penggunaan Lambda. TypeScript  

```
import {
  DynamoDBBatchResponse,
  DynamoDBBatchItemFailure,
  DynamoDBStreamEvent,
} from "aws-lambda";

export const handler = async (
  event: DynamoDBStreamEvent
): Promise<DynamoDBBatchResponse> => {
  const batchItemFailures: DynamoDBBatchItemFailure[] = [];
  let curRecordSequenceNumber;

  for (const record of event.Records) {
    curRecordSequenceNumber = record.dynamodb?.SequenceNumber;

    if (curRecordSequenceNumber) {
      batchItemFailures.push({
        itemIdentifier: curRecordSequenceNumber,
      });
    }
  }

  return { batchItemFailures: batchItemFailures };
};
```

------
#### [ PHP ]

**SDK untuk PHP**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan PHP.  

```
<?php

# using bref/bref and bref/logger for simplicity

use Bref\Context\Context;
use Bref\Event\DynamoDb\DynamoDbEvent;
use Bref\Event\Handler as StdHandler;
use Bref\Logger\StderrLogger;

require __DIR__ . '/vendor/autoload.php';

class Handler implements StdHandler
{
    private StderrLogger $logger;
    public function __construct(StderrLogger $logger)
    {
        $this->logger = $logger;
    }

    /**
     * @throws JsonException
     * @throws \Bref\Event\InvalidLambdaEvent
     */
    public function handle(mixed $event, Context $context): array
    {
        $dynamoDbEvent = new DynamoDbEvent($event);
        $this->logger->info("Processing records");

        $records = $dynamoDbEvent->getRecords();
        $failedRecords = [];
        foreach ($records as $record) {
            try {
                $data = $record->getData();
                $this->logger->info(json_encode($data));
                // TODO: Do interesting work based on the new data
            } catch (Exception $e) {
                $this->logger->error($e->getMessage());
                // failed processing the record
                $failedRecords[] = $record->getSequenceNumber();
            }
        }
        $totalRecords = count($records);
        $this->logger->info("Successfully processed $totalRecords records");

        // change format for the response
        $failures = array_map(
            fn(string $sequenceNumber) => ['itemIdentifier' => $sequenceNumber],
            $failedRecords
        );

        return [
            'batchItemFailures' => $failures
        ];
    }
}

$logger = new StderrLogger();
return new Handler($logger);
```

------
#### [ Python ]

**SDK untuk Python (Boto3)**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan Python.  

```
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
def handler(event, context):
    records = event.get("Records")
    curRecordSequenceNumber = ""
    
    for record in records:
        try:
            # Process your record
            curRecordSequenceNumber = record["dynamodb"]["SequenceNumber"]
        except Exception as e:
            # Return failed record's sequence number
            return {"batchItemFailures":[{"itemIdentifier": curRecordSequenceNumber}]}

    return {"batchItemFailures":[]}
```

------
#### [ Ruby ]

**SDK untuk Ruby**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan Ruby.  

```
def lambda_handler(event:, context:)
    records = event["Records"]
    cur_record_sequence_number = ""
  
    records.each do |record|
      begin
        # Process your record
        cur_record_sequence_number = record["dynamodb"]["SequenceNumber"]
      rescue StandardError => e
        # Return failed record's sequence number
        return {"batchItemFailures" => [{"itemIdentifier" => cur_record_sequence_number}]}
      end
    end
  
    {"batchItemFailures" => []}
  end
```

------
#### [ Rust ]

**SDK for Rust**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di repositori [contoh Nirserver](https://github.com/aws-samples/serverless-snippets/tree/main/integration-ddb-to-lambda-with-batch-item-handling). 
Melaporkan kegagalan item batch DynamoDB dengan Lambda menggunakan Rust.  

```
use aws_lambda_events::{
    event::dynamodb::{Event, EventRecord, StreamRecord},
    streams::{DynamoDbBatchItemFailure, DynamoDbEventResponse},
};
use lambda_runtime::{run, service_fn, Error, LambdaEvent};

/// Process the stream record
fn process_record(record: &EventRecord) -> Result<(), Error> {
    let stream_record: &StreamRecord = &record.change;

    // process your stream record here...
    tracing::info!("Data: {:?}", stream_record);

    Ok(())
}

/// Main Lambda handler here...
async fn function_handler(event: LambdaEvent<Event>) -> Result<DynamoDbEventResponse, Error> {
    let mut response = DynamoDbEventResponse {
        batch_item_failures: vec![],
    };

    let records = &event.payload.records;

    if records.is_empty() {
        tracing::info!("No records found. Exiting.");
        return Ok(response);
    }

    for record in records {
        tracing::info!("EventId: {}", record.event_id);

        // Couldn't find a sequence number
        if record.change.sequence_number.is_none() {
            response.batch_item_failures.push(DynamoDbBatchItemFailure {
                item_identifier: Some("".to_string()),
            });
            return Ok(response);
        }

        // Process your record here...
        if process_record(record).is_err() {
            response.batch_item_failures.push(DynamoDbBatchItemFailure {
                item_identifier: record.change.sequence_number.clone(),
            });
            /* Since we are working with streams, we can return the failed item immediately.
            Lambda will immediately begin to retry processing from this failed item onwards. */
            return Ok(response);
        }
    }

    tracing::info!("Successfully processed {} record(s)", records.len());

    Ok(response)
}

#[tokio::main]
async fn main() -> Result<(), Error> {
    tracing_subscriber::fmt()
        .with_max_level(tracing::Level::INFO)
        // disable printing the name of the module in every log line.
        .with_target(false)
        // disabling time is handy because CloudWatch will add the ingestion time.
        .without_time()
        .init();

    run(service_fn(function_handler)).await
}
```

------

## Menggunakan Powertools untuk prosesor AWS Lambda batch
<a name="services-ddb-batchfailurereporting-powertools"></a>

Utilitas prosesor batch dari Powertools untuk AWS Lambda secara otomatis menangani logika respons batch paral, mengurangi kompleksitas penerapan pelaporan kegagalan batch. Berikut adalah contoh menggunakan prosesor batch:

**Python**  
Untuk contoh lengkap dan petunjuk penyiapan, lihat [dokumentasi prosesor batch](https://docs.powertools.aws.dev/lambda/python/latest/utilities/batch/).
Memproses rekaman AWS Lambda aliran DynamoDB dengan prosesor batch.  

```
import json
from aws_lambda_powertools import Logger
from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, process_partial_response
from aws_lambda_powertools.utilities.data_classes import DynamoDBStreamEvent
from aws_lambda_powertools.utilities.typing import LambdaContext

processor = BatchProcessor(event_type=EventType.DynamoDBStreams)
logger = Logger()

def record_handler(record):
    logger.info(record)
    # Your business logic here
    # Raise an exception to mark this record as failed
    
def lambda_handler(event, context: LambdaContext):
    return process_partial_response(
        event=event, 
        record_handler=record_handler, 
        processor=processor,
        context=context
    )
```

**TypeScript**  
Untuk contoh lengkap dan petunjuk penyiapan, lihat [dokumentasi prosesor batch](https://docs.aws.amazon.com/powertools/typescript/latest/features/batch/).
Memproses rekaman AWS Lambda aliran DynamoDB dengan prosesor batch.  

```
import { BatchProcessor, EventType, processPartialResponse } from '@aws-lambda-powertools/batch';
import { Logger } from '@aws-lambda-powertools/logger';
import type { DynamoDBStreamEvent, Context } from 'aws-lambda';

const processor = new BatchProcessor(EventType.DynamoDBStreams);
const logger = new Logger();

const recordHandler = async (record: any): Promise<void> => {
    logger.info('Processing record', { record });
    // Your business logic here
    // Throw an error to mark this record as failed
};

export const handler = async (event: DynamoDBStreamEvent, context: Context) => {
    return processPartialResponse(event, recordHandler, processor, {
        context,
    });
};
```

**Java**  
Untuk contoh lengkap dan petunjuk penyiapan, lihat [dokumentasi prosesor batch](https://docs.powertools.aws.dev/lambda/java/latest/utilities/batch/).
Memproses rekaman AWS Lambda aliran DynamoDB dengan prosesor batch.  

```
import com.amazonaws.services.lambda.runtime.Context;
import com.amazonaws.services.lambda.runtime.RequestHandler;
import com.amazonaws.services.lambda.runtime.events.DynamodbEvent;
import com.amazonaws.services.lambda.runtime.events.StreamsEventResponse;
import software.amazon.lambda.powertools.batch.BatchMessageHandlerBuilder;
import software.amazon.lambda.powertools.batch.handler.BatchMessageHandler;

public class DynamoDBStreamBatchHandler implements RequestHandler<DynamodbEvent, StreamsEventResponse> {

    private final BatchMessageHandler<DynamodbEvent, StreamsEventResponse> handler;

    public DynamoDBStreamBatchHandler() {
        handler = new BatchMessageHandlerBuilder()
                .withDynamoDbBatchHandler()
                .buildWithRawMessageHandler(this::processMessage);
    }

    @Override
    public StreamsEventResponse handleRequest(DynamodbEvent ddbEvent, Context context) {
        return handler.processBatch(ddbEvent, context);
    }

    private void processMessage(DynamodbEvent.DynamodbStreamRecord dynamodbStreamRecord, Context context) {
        // Process the change record
    }
}
```

**.NET**  
Untuk contoh lengkap dan petunjuk penyiapan, lihat [dokumentasi prosesor batch](https://docs.aws.amazon.com/powertools/dotnet/utilities/batch-processing/).
Memproses rekaman AWS Lambda aliran DynamoDB dengan prosesor batch.  

```
using System;
using System.Threading;
using System.Threading.Tasks;
using Amazon.Lambda.Core;
using Amazon.Lambda.DynamoDBEvents;
using Amazon.Lambda.Serialization.SystemTextJson;
using AWS.Lambda.Powertools.BatchProcessing;

[assembly: LambdaSerializer(typeof(DefaultLambdaJsonSerializer))]

namespace HelloWorld;

public class Customer
{
    public string? CustomerId { get; set; }
    public string? Name { get; set; }
    public string? Email { get; set; }
    public DateTime CreatedAt { get; set; }
}

internal class TypedDynamoDbRecordHandler : ITypedRecordHandler<Customer> 
{
    public async Task<RecordHandlerResult> HandleAsync(Customer customer, CancellationToken cancellationToken)
    {
        if (string.IsNullOrEmpty(customer.Email)) 
        {
            throw new ArgumentException("Customer email is required");
        }

        return await Task.FromResult(RecordHandlerResult.None); 
    }
}

public class Function
{
    [BatchProcessor(TypedRecordHandler = typeof(TypedDynamoDbRecordHandler))]
    public BatchItemFailuresResponse HandlerUsingTypedAttribute(DynamoDBEvent _)
    {
        return TypedDynamoDbStreamBatchProcessor.Result.BatchItemFailuresResponse; 
    }
}
```