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Anh Trần Tuấn
Anh Trần Tuấn

Posted on • Originally published at tuanh.net on

Reasons Your Feign Client Throws IOException: Too Many Bytes Written and How to Fix It

1. What Causes the IOException: Too Many Bytes Written?

At its core, this error indicates that more data than expected is being written to the HTTP response output stream. This typically occurs when:

  • Response Content-Length Mismatch : The Content-Length header declared does not match the actual size of the response body.
  • Double-Serialization Issues : Feign clients might inadvertently serialize the payload multiple times, leading to oversized requests.
  • Improper Error Handling : Custom error decoders or incorrect exception propagation can lead to partial writes.
  • Underlying Library Bugs : Issues in Feign, HTTP clients, or server-side handlers can exacerbate this error.

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1.1 Reproducing the Problem

To reproduce this error, let’s simulate a scenario where the Content-Length header is mismatched. Consider the following Feign client definition:

@FeignClient(name = "example-service", url = "http://localhost:8080")
public interface ExampleFeignClient {
    @PostMapping(value = "/upload", consumes = MediaType.APPLICATION_JSON_VALUE)
    String uploadData(@RequestBody LargePayload payload);
}
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Here’s the LargePayload class:

public class LargePayload {
    private String data;

    public LargePayload(String data) {
        this.data = data;
    }

    // Getters and setters
}
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Now, suppose the server sets a Content-Length header but truncates the response body due to some server-side error. Feign, upon detecting the mismatch, throws the IOException: Too Many Bytes Written.

2. Methods to Debug and Resolve the Issue

Resolving this error requires a systematic approach. Let’s break it down into steps:

2.1 Validate the Response Payload

Begin by examining the server's response payload. Use tools like Postman or cURL to inspect the Content-Length header and the actual response body.

curl -v -X POST http://localhost:8080/upload -H "Content-Type: application/json" -d '{"data":"sample"}'
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Check for discrepancies between the header and body length.

2.2 Debugging Feign Configurations

Feign leverages libraries like Jackson or Gson for serialization. Mismatched serialization settings can lead to oversized payloads. Ensure the following:

Unified Serialization Settings : Configure Feign with a single serialization library:

@Bean
public Encoder feignEncoder() {
    return new JacksonEncoder();
}
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Enable Detailed Logging : Add a logger to capture Feign's HTTP calls:

Logger.Level feignLoggerLevel() {
    return Logger.Level.FULL;
}
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This reveals mismatches between the payload size and the server's expectations.

2.3 Handle Streaming Responses Correctly

When dealing with large files or streams, Feign might encounter issues if the server prematurely closes the connection. Update your Feign client to support streaming:

@FeignClient(name = "file-service", url = "http://localhost:8080")
public interface FileFeignClient {
    @PostMapping(value = "/stream", consumes = MediaType.APPLICATION_OCTET_STREAM_VALUE)
    ResponseEntity<Void> uploadFile(InputStream file);
}
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2.4 Implement Custom Error Decoders

Feign's default error decoder might not adequately handle partial writes. Implement a custom error decoder to capture and log additional details:

public class CustomErrorDecoder implements ErrorDecoder {
    @Override
    public Exception decode(String methodKey, Response response) {
        // Log response headers and body for debugging
        String errorMessage = String.format("Method: %s, Status: %d, Reason: %s",
                methodKey, response.status(), response.reason());
        System.out.println(errorMessage);
        return new FeignException(errorMessage, response);
    }
}
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3. Advanced Techniques to Prevent the Error

3.1 Enable Chunked Transfer Encoding

If the server does not support Content-Length headers, switch to chunked transfer encoding. This ensures the payload is sent in manageable chunks:

@FeignClient(name = "chunked-service", configuration = ChunkedFeignConfig.class)
public interface ChunkedFeignClient {
    @PostMapping("/upload-chunked")
    String uploadChunkedData(@RequestBody LargePayload payload);
}

@Configuration
public class ChunkedFeignConfig {
    @Bean
    public RequestInterceptor chunkedRequestInterceptor() {
        return requestTemplate -> requestTemplate.header("Transfer-Encoding", "chunked");
    }
}
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3.2 Optimize Payload Sizes

Large payloads can exacerbate the issue. Compress JSON payloads before sending:

public String compressJson(String json) throws IOException {
    ByteArrayOutputStream baos = new ByteArrayOutputStream();
    try (GZIPOutputStream gzipOut = new GZIPOutputStream(baos)) {
        gzipOut.write(json.getBytes(StandardCharsets.UTF_8));
    }
    return Base64.getEncoder().encodeToString(baos.toByteArray());
}
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Update the client to send compressed payloads:

String compressedPayload = compressJson(new ObjectMapper().writeValueAsString(payload));
feignClient.uploadData(new LargePayload(compressedPayload));
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3.3 Test in Production-like Environments

Simulate high traffic and large payload scenarios in a staging environment to uncover edge cases. Tools like JMeter or Gatling can help benchmark performance and detect anomalies.

4. Best Practices and Lessons Learned

  • Monitor Payload and Header Consistency : Always verify the Content-Length header during development.
  • Centralize Serialization : Use unified serializers to avoid mismatched payloads.
  • Graceful Error Handling : Implement robust decoders to log and handle errors effectively.
  • Collaborate with Backend Teams : Ensure the backend is configured to handle large or streaming payloads without truncation.

5. Conclusion

The IOException: Too Many Bytes Written error, while perplexing, serves as a reminder of the intricacies in REST communication. By validating payloads, fine-tuning Feign configurations, and adopting best practices, you can prevent and resolve this issue efficiently.

Have you encountered similar errors or have unique solutions to share? Feel free to comment below with your thoughts and questions! Let’s troubleshoot together.

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