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

// Reader implements reading records from parquet input.
type Reader struct {
	io.Closer
	r *parquetgo.FileReader
}

// NewParquetReader creates a Reader2 from a io.ReadSeekCloser.
func NewParquetReader(rsc io.ReadSeekCloser, _ *ReaderArgs) (r *Reader, err error) {

			}
		})
	}
}

type errReader struct {
	err error
}

func (e errReader) Read(p []byte) (n int, err error) {
	return 0, e.err
}

func TestReadFailures(t *testing.T) {
	customErr := errors.New("unable to read file :(")
	cases := []struct {
		file            string
		recordDelimiter string
		fieldDelimiter  string
		sendErr         error

// If the stream ends before a false boolean it can be assumed it was truncated.

const metacacheStreamVersion = 2

// metacacheWriter provides a serializer of metacache objects.
type metacacheWriter struct {
	streamErr   error
	mw          *msgp.Writer
	creator     func() error
	closer      func() error
	blockSize   int
	streamWg    sync.WaitGroup
	reuseBlocks bool
}

	cli.BoolFlag{
		Name:   "compat",
		Usage:  "enable strict S3 compatibility by turning off certain performance optimizations",
		Hidden: true,
	},
	// This flag is hidden and to be used only during certain performance testing.
	cli.BoolFlag{
		Name:   "no-compat",
		Usage:  "disable strict S3 compatibility by turning on certain performance optimizations",
		Hidden: true,
	},
}

		t.Errorf("no error should happen, but got %v", err)
	}

	if name != "groupby1" || total != 660 {
		t.Errorf("name should be groupby, but got %v, total should be 660, but got %v", name, total)
	}

	result := struct {
		Name  string
		Total int64
	}{}

	if err := DB.Model(&User{}).Select("name, sum(age) as total").Where("name LIKE ?", "groupby%").Group("name").Having("name = ?", "groupby1").Find(&result).Error; err != nil {

```

likewise, increasing depth level to `3` yields:
```
red
green
blue
cyan
magenta
yellow
black
```

optionally, kev:value pairs can be emitted as an individual struct:
```go
decoder := jstream.NewDecoder(f, 2).EmitKV() // enable KV streaming at a depth level of 2
```

```
jstream.KV{desc RGB}
jstream.KV{colors [red green blue]}
jstream.KV{desc CMYK}

package migrator

import (
	"database/sql"
	"reflect"
)

// ColumnType column type implements ColumnType interface
type ColumnType struct {
	SQLColumnType      *sql.ColumnType
	NameValue          sql.NullString
	DataTypeValue      sql.NullString
	ColumnTypeValue    sql.NullString
	PrimaryKeyValue    sql.NullBool
	UniqueValue        sql.NullBool
	AutoIncrementValue sql.NullBool
	LengthValue        sql.NullInt64

	"cmd/internal/src"
)

// A Tokenizer is a simple wrapping of text/scanner.Scanner, configured
// for our purposes and made a TokenReader. It forms the lowest level,
// turning text from readers into tokens.
type Tokenizer struct {
	tok  ScanToken
	s    *scanner.Scanner
	base *src.PosBase
	line int
	file *os.File // If non-nil, file descriptor to close.
}

func NewTokenizer(name string, r io.Reader, file *os.File) *Tokenizer {

// the SHA256 checksum of the content.
//
// If the reference values for the ETag and content SHA26
// are not empty then it will check whether the computed
// match the reference values.
type Reader struct {
	src         io.Reader
	bytesRead   int64
	expectedMin int64
	expectedMax int64

	size       int64
	actualSize int64

	checksum      etag.ETag
	contentSHA256 []byte

	"fmt"
	"io"
	"testing"
)

var alphabets = []byte("abcdefghijklmnopqrstuvwxyz0123456789")

// DummyDataGen returns a reader that repeats the bytes in `alphabets`
// upto the desired length.
type DummyDataGen struct {
	b           []byte
	idx, length int64
}

// NewDummyDataGen returns a ReadSeeker over the first `totalLength`
// bytes from the infinite stream consisting of repeated
// concatenations of `alphabets`.
//