### Cache the OpenAPI schema

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

{* ../../docs_src/extending_openapi/tutorial001.py hl[13:14,25:26] *}

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

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

import org.codelibs.fess.es.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.es.config.bsentity.dbmeta.ElevateWordDbm;

/**

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

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

import org.codelibs.fess.es.log.allcommon.EsAbstractEntity;
import org.codelibs.fess.es.log.bsentity.dbmeta.ClickLogDbm;

/**
 * ${table.comment}

	fmt.Println(bytes.ContainsFunc([]byte("World"), f))
	// Output:
	// false
	// true
}

func ExampleCount() {
	fmt.Println(bytes.Count([]byte("cheese"), []byte("e")))
	fmt.Println(bytes.Count([]byte("five"), []byte(""))) // before & after each rune
	// Output:
	// 3
	// 5
}

func ExampleCut() {
	show := func(s, sep string) {
		before, after, found := bytes.Cut([]byte(s), []byte(sep))

                return acl;
              }
            };
        return () -> attribute;
      } catch (IOException e) {
        // We throw a new exception each time so that the stack trace is right.
        return () -> {
          throw new IOException("Could not find user", e);
        };
      }
    }

    private static String getUsername() {
      /*

   * key, the choice of {@link KeyAbsentBehavior} decides which index is returned.
   *
   * <p>This method runs in log(n) time on random-access lists, which offer near-constant-time
   * access to each list element.
   *
   * @param list the list to be searched.
   * @param key the value to be searched for.
   * @param comparator the comparator by which the list is ordered.

               "expr": "sum(rate(pilot_xds_push_time_bucket{}[1m])) by (le)",
               "format": "heatmap",
               "legendFormat": "{{le}}"
            }
         ],
         "title": "Push Time",
         "type": "heatmap"
      },
      {
         "datasource": {
            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "description": "Size of each xDS push.\n",

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "time() - max(minio_node_process_starttime_seconds{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": true,
          "interval": "",
          "intervalFactor": 1,

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

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

import org.codelibs.fess.es.config.exentity.RelatedQuery;
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.es.config.bsentity.dbmeta;

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

import org.codelibs.fess.es.config.exentity.RequestHeader;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;