ejecutas **un solo proceso por contenedor**, tendrás una cantidad de memoria más o menos bien definida, estable y limitada consumida por cada uno de esos contenedores (más de uno si están replicados).

Y luego puedes establecer esos mismos límites de memoria y requisitos en tus configuraciones para tu sistema de gestión de contenedores (por ejemplo, en **Kubernetes**). De esa manera, podrá **replicar los contenedores** en las **máquinas disponibles** teniendo en cuenta la cantidad de memoria...

In diesem Fall erwartet diese Abhängigkeit:

* Einen optionalen Query-Parameter `q`, der ein `str` ist.
* Einen optionalen Query-Parameter `skip`, der ein `int` ist und standardmäßig `0` ist.
* Einen optionalen Query-Parameter `limit`, der ein `int` ist und standardmäßig `100` ist.

			 "node.name":"search_engine",
			 "discovery.seed_hosts":"search_engine",
			 "cluster.initial_cluster_manager_nodes":"search_engine",
			 "node.roles":"cluster_manager,data,ingest,ml",
			 -->
			 "indices.breaker.total.limit":"100%",
			 "action.auto_create_index":"-*"}
		</property>
		<!-- Dictionaries -->
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"mapping.txt"</arg>
		</postConstruct>

	"github.com/minio/minio/internal/dsync"
)

// Reject new lock requests immediately when this many are queued
// for the local lock mutex.
// We do not block unlocking or maintenance, but they add to the count.
// The limit is set to allow for bursty behavior,
// but prevent requests to overload the server completely.
// Rejected clients are expected to retry.
const lockMutexWaitLimit = 1000

	user := GetUser("tTestTransactionWithHooks", Config{Account: true})
	DB.Create(&user)

	var err error
	err = DB.Transaction(func(tx *gorm.DB) error {
		return tx.Model(&User{}).Limit(1).Transaction(func(tx2 *gorm.DB) error {
			return tx2.Scan(&User{}).Error
		})
	})
	if err != nil {
		t.Error(err)
	}

	// method with hooks
	err = DB.Transaction(func(tx1 *gorm.DB) error {

        }).orElse(StringUtil.EMPTY_STRINGS);
    }

    /**
     * Retrieves or creates the result document IDs cache from the session.
     * The cache is implemented as an LRU map to limit memory usage.
     *
     * @param session the HTTP session
     * @return the result document IDs cache map
     */
    private Map<String, String[]> getResultDocIdsCache(final HttpSession session) {

   *
   * It is an error to call this method after the body has been consumed.
   *
   * **Warning:** this method loads the requested bytes into memory. Most applications should set
   * a modest limit on `byteCount`, such as 1 MiB.
   */
  @Throws(IOException::class)
  fun peekBody(byteCount: Long): ResponseBody {
    val peeked = body.source().peek()
    val buffer = Buffer()
    peeked.request(byteCount)

	}
	db.Plugins[name] = plugin
	return nil
}

// ToSQL for generate SQL string.
//
//	db.ToSQL(func(tx *gorm.DB) *gorm.DB {
//			return tx.Model(&User{}).Where(&User{Name: "foo", Age: 20})
//				.Limit(10).Offset(5)
//				.Order("name ASC")
//				.First(&User{})
//	})
func (db *DB) ToSQL(queryFn func(tx *DB) *DB) string {
	tx := queryFn(db.Session(&Session{DryRun: true, SkipDefaultTransaction: true}).getInstance())

	nameSize   = 100 // Max length of the name field in USTAR format
	prefixSize = 155 // Max length of the prefix field in USTAR format

	// Max length of a special file (PAX header, GNU long name or link).
	// This matches the limit used by libarchive.
	maxSpecialFileSize = 1 << 20
)

// blockPadding computes the number of bytes needed to pad offset up to the
// nearest block edge where 0 <= n < blockSize.

    get() = gradleProperty(DEFAULT_RFN_PERFORMANCE_BASELINES)

val Project.defaultRfrPerformanceBaselines: Provider<String>
    get() = gradleProperty(DEFAULT_RFR_PERFORMANCE_BASELINES)


// null means no limit: use all available executors
val Project.maxTestDistributionRemoteExecutors: Int?
    get() = gradleProperty(MAX_TEST_DISTRIBUTION_REMOTE_EXECUTORS).orNull?.toInt()

val Project.maxTestDistributionLocalExecutors: Int?