for obj := range objCh {
		if obj.Err != nil {
			log.Fatalf("Listing error: %v", obj.Err)
		}
		fmt.Printf("Key: %s\nSize: %d\nLast Modified: %s\n===\n", obj.Key, obj.Size, obj.LastModified)
	}

		file := c.Args().Get(0)
		if strings.HasSuffix(file, ".zip") {
			var sz int64
			f, err := os.Open(file)
			if err != nil {
				return err
			}
			if st, err := f.Stat(); err == nil {
				sz = st.Size()
			}
			defer f.Close()
			zr, err := zip.NewReader(f, sz)
			if err != nil {
				return err
			}
			for _, file := range zr.File {

            this.plugin = plugin.clone();
            workspace = RepositoryUtils.getWorkspace(session);
            this.localRepo = session.getLocalRepository();
            this.repositories = new ArrayList<>(repositories.size());
            for (RemoteRepository repository : repositories) {
                if (repository.isRepositoryManager()) {
                    this.repositories.addAll(repository.getMirroredRepositories());

	for obj := range objCh {
		if obj.Err != nil {
			log.Fatalf("Listing error: %v", obj.Err)
		}
		fmt.Printf("Key: %s\nSize: %d\nLast Modified: %s\n===\n", obj.Key, obj.Size, obj.LastModified)
	}

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.
This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**

            context.reader =
                    LineReaderBuilder.builder().terminal(context.terminal).build();

            if (context.options().goals().isEmpty()
                    || context.options().goals().get().size() != 1) {
                return badGoalsErrorMessage("No goal or multiple goals specified, specify only one goal.", context);
            }

            String goalName = context.options().goals().get().get(0);

package json

import (
	"io"
	"sync"

	"github.com/minio/minio/internal/s3select/jstream"
	"github.com/minio/minio/internal/s3select/sql"
)

// Limit single document size to 10MiB, 10x the AWS limit:
// https://docs.aws.amazon.com/AmazonS3/latest/userguide/selecting-content-from-objects.html
const maxDocumentSize = 10 << 20

// Reader - JSON record reader for S3Select.
type Reader struct {

        transfers.put(
                new TransferResourceIdentifier(resource),
                new TransferResourceAndSize(resource, event.getTransferredBytes()));

        buffer.append("Progress (").append(transfers.size()).append("): ");

        Iterator<TransferResourceAndSize> entries = transfers.values().iterator();
        while (entries.hasNext()) {
            TransferResourceAndSize entry = entries.next();

                // we are already visiting this vertex, this mean we have a cycle
                int pos = cycle.lastIndexOf(v.label);
                List<String> ret = cycle.subList(pos, cycle.size());
                ret.add(v.label);
                return ret;
            }
        }
        return null;
    }

    static class Vertex {
        final String label;

}

func (d *naughtyDisk) CreateFile(ctx context.Context, origvolume, volume, path string, size int64, reader io.Reader) error {
	if err := d.calcError(); err != nil {
		return err
	}
	return d.disk.CreateFile(ctx, origvolume, volume, path, size, reader)
}

func (d *naughtyDisk) AppendFile(ctx context.Context, volume string, path string, buf []byte) error {