// Submit a write that will throw inside the writer thread
            w.write(payload, payload.length, out);

            // Give the writer thread time to process and set exception
            w.wait(100);
        }

        // Wait a bit more to ensure exception is captured
        Thread.sleep(100);

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

        },
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "type": "query"
      }
    ]
  },
  "time": {
    "from": "now-1h",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",

diagnostics help ensure that the underlying infrastructure that runs MinIO is configured correctly, and is functioning properly. This test is one-shot long running one, that is recommended to be run as soon as the cluster is first provisioned, and each time a failure scenario is encountered. Note that the test incurs majority of the available resources on the system. Care must be taken when using this to debug failure scenario, so as to prevent larger outages. Health tests can be triggered using `mc support...

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.opensearch.log.bsentity.dbmeta;

import java.time.LocalDateTime;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.opensearch.log.exentity.FavoriteLog;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.opensearch.config.bsentity;

import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.DataConfigDbm;

/**

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.opensearch.config.bsentity;

import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.ScheduledJobDbm;

/**

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.opensearch.config.bsentity.dbmeta;

import java.time.LocalDateTime;
import java.util.List;
import java.util.Map;

import org.codelibs.fess.opensearch.config.exentity.ThumbnailQueue;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;

replication. For example, RAID6 can protect against two drive failure whereas in MinIO erasure code you can lose as many as half of drives and still the data remains safe. Further, MinIO's erasure code is at the object level and can heal one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing...

Ele foi escolhido sobre outras alternativas anteriores por se adequar melhor em muitos casos.

Muitos desenvolvedores e times já dependem do **FastAPI** para seus projetos (incluindo eu e meu time).

Mas ainda há muitas melhorias e funcionalidades a vir.

**FastAPI** tem um grande futuro à frente.