Harshavardhana <******@****.***> 1622584780 -0700

Harshavardhana <******@****.***> 1622584780 -0700

    When the pie was all finished, the Owl, as a boon,
    Was kindly permitted to pocket the spoon:
    While the Panther received knife and fork with a growl,
    And concluded the banquet--]

  `What IS the use of repeating all that stuff,' the Mock Turtle
interrupted, `if you don't explain it as you go on?  It's by far
the most confusing thing I ever heard!'

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package parquet

import (
	"errors"
	"io"
	"time"

	parquetgo "github.com/fraugster/parquet-go"
	parquettypes "github.com/fraugster/parquet-go/parquet"
	jsonfmt "github.com/minio/minio/internal/s3select/json"
	"github.com/minio/minio/internal/s3select/jstream"

(*) Parquet is disabled on the MinIO server by default. See below how to enable it.

## Enabling Parquet Format

Parquet is DISABLED by default since hostile crafted input can easily crash the server.

If you are in a controlled environment where it is safe to assume no hostile content can be uploaded to your cluster you can safely enable Parquet.

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package parquet

import "encoding/xml"

// ReaderArgs - represents elements inside <InputSerialization><Parquet/> in request XML.
type ReaderArgs struct {
	unmarshaled bool
}

// IsEmpty - returns whether reader args is empty or not.
func (args *ReaderArgs) IsEmpty() bool {

		statusCode: 400,
		cause:      err,
	}
}

func errInvalidDataSource(err error) *s3Error {
	return &s3Error{
		code:       "InvalidDataSource",
		message:    "Invalid data source type. Only CSV, JSON, and Parquet are supported.",
		statusCode: 400,
		cause:      err,
	}
}

func errInvalidRequestParameter(err error) *s3Error {
	return &s3Error{
		code:       "InvalidRequestParameter",

Et pourtant l'expérience finale n'est pas meilleure 😞.

---

C'est donc l'histoire équivalente parallèle pour les burgers 🍔.

Pour un exemple plus courant dans la "vie réelle", imaginez une banque.

Jusqu'à récemment, la plupart des banques avaient plusieurs caisses (et banquiers) 👨‍💼👨‍💼👨‍💼👨‍💼 et une unique file d'attente 🕙🕙🕙🕙🕙🕙🕙🕙.

    <Expression>SELECT one, two, three from S3Object</Expression>
    <ExpressionType>SQL</ExpressionType>
    <InputSerialization>
        <CompressionType>NONE</CompressionType>
        <Parquet>
        </Parquet>
    </InputSerialization>
    <OutputSerialization>
        <CSV>
        </CSV>
    </OutputSerialization>
    <RequestProgress>
        <Enabled>FALSE</Enabled>

	SelectFmtUnknown SelectObjectFormat = iota
	// SelectFmtCSV - CSV format
	SelectFmtCSV
	// SelectFmtJSON - JSON format
	SelectFmtJSON
	// SelectFmtSIMDJSON - SIMD JSON format
	SelectFmtSIMDJSON
	// SelectFmtParquet - Parquet format
	SelectFmtParquet
)

// WriteCSVOpts - encapsulates options for Select CSV output
type WriteCSVOpts struct {
	FieldDelimiter rune
	Quote          rune
	QuoteEscape    rune
	AlwaysQuote    bool
}