messages.addErrorsCrudFailedToCreateInstance(GLOBAL);
            });
            return null;
        });
        try {
            scheduledJobService.store(entity);
            saveInfo(messages -> messages.addSuccessCrudCreateCrudTable(GLOBAL));
        } catch (final Exception e) {
            logger.warn("Failed to process a request.", e);

	//		outcode(int($1), &$2, 0, &$4);
	//	}
	MOVF	F1, F2

	//	LFMOV freg ',' addr
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	MOVF	F2, foo<>+3(SB)
	MOVF	F2, 16(R1)
	MOVF	F2, (R1)

	//
	// store ints and bytes
	//
	//	LMOVW rreg ',' addr
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	MOVW	R1, foo<>+3(SB)
	MOVW	R1, 16(R2)
	MOVW	R1, (R2)
	MOVW	R1, foo<>+3(SB)
	MOVW	R1, 16(R2)
	MOVW	R1, (R2)

sols
son 
són
sons 
sota
sou
t'ha
t'han
t'he
ta
tal
també
tampoc
tan
tant
tanta
tantes
teu
teus
teva
teves
ton
tons
tot
tota
totes
tots
un
una
unes
uns
us
va
vaig
vam
van
vas
veu
vosaltres
vostra
vostre

 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,

 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,

	Line() int
	// Col reports the source column number of the token.
	Col() int
	// Close does any teardown required.
	Close()
}

// A Token is a scan token plus its string value.
// A macro is stored as a sequence of Tokens with spaces stripped.
type Token struct {
	ScanToken
	text string
}

// Make returns a Token with the given rune (ScanToken) and text representation.

    environment:
      - TZ=Asia/Shanghai
      - ACCEPT_EULA=Y
      - MSSQL_SA_PASSWORD=LoremIpsum86
  tidb:
    image: 'pingcap/tidb:v6.5.0'
    ports:
      - "127.0.0.1:9940:4000"
    command: /tidb-server -store unistore -path "" -lease 0s > tidb.log 2>&1 &
  gaussdb:
    image: 'opengauss/opengauss:7.0.0-RC1.B023'
    hostname: opengauss-server
    ports:
      - "127.0.0.1:9950:5432"
    environment:
      - TZ=Asia/Shanghai

 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,

)

// naughtyDisk wraps a POSIX disk and returns programmed errors
// specified by the developer. The purpose is to simulate errors
// that are hard to simulate in practice like DiskNotFound.
// Programmed errors are stored in errors field.
type naughtyDisk struct {
	// The real disk
	disk StorageAPI
	// Programmed errors: API call number => error to return
	errors map[int]error
	// The error to return when no error value is programmed

The drives should all be of approximately the same size.

## Get Started with MinIO in Erasure Code

### 1. Prerequisites

Install MinIO - [MinIO Quickstart Guide](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html)