1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.

            if ( this.array != null ) {
                _dst = _dst.deferred;
                int _arrays = this.count;
                _dst.enc_ndr_long(_arrays);
                int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

                _dst = _dst.derive(_arrayi);
                for ( int _i = 0; _i < _arrays; _i++ ) {
                    this.array[ _i ].encode(_dst);
                }

    new_config_docs_path: Path = new_path / "docs"
    new_config_docs_path.mkdir()
    en_index_path: Path = en_docs_path / "docs" / "index.md"
    new_index_path: Path = new_config_docs_path / "index.md"
    en_index_content = en_index_path.read_text(encoding="utf-8")
    new_index_content = f"{missing_translation_snippet}\n\n{en_index_content}"

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

        for (E e = first; e != null; e = e.getNext()) {
          if (e == entry) {
            ++modCount;
            E newFirst = removeFromChain(first, e);
            newCount = this.count - 1;
            table.set(index, newFirst);
            this.count = newCount; // write-volatile

import org.codelibs.fess.es.client.SearchEngineClient;
import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

public class PurgeDocJob {

    private static final Logger logger = LogManager.getLogger(PurgeDocJob.class);

    public String execute() {

from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}

    //                                                                              Index
    //                                                                      ==============
    @Execute
    @Secured({ ROLE })
    public HtmlResponse index() {
        searchEngineApiManager.saveToken();
        return asHtml(path_AdminDashboard_AdminDashboardJsp).renderWith(data -> {

from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}

from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}