set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -XX:MaxDirectMemorySize=%FESS_DIRECT_SIZE%
)

REM set to headless, just in case
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Djava.awt.headless=true

REM maximum # keep-alive connections to maintain at once
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Dhttp.maxConnections=20

REM Force the JVM to use IPv4 stack
if NOT "%FESS_USE_IPV4%" == "" (
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Djava.net.preferIPv4Stack=true

    FESS_JAVA_OPTS="$FESS_JAVA_OPTS -Xmn${FESS_HEAP_NEWSIZE}"
fi

# set to headless, just in case
FESS_JAVA_OPTS="$FESS_JAVA_OPTS -Djava.awt.headless=true"

# maximum # keep-alive connections to maintain at once
FESS_JAVA_OPTS="$FESS_JAVA_OPTS -Dhttp.maxConnections=20"

# Force the JVM to use IPv4 stack
if [ "x$FESS_USE_IPV4" != "x" ]; then
  FESS_JAVA_OPTS="$FESS_JAVA_OPTS -Djava.net.preferIPv4Stack=true"

 *  New: `ConnectionPool.setPolicy()` configures a minimum connection pool size for a target
    address. Use this to proactively open HTTP connections.

    Connections opened to fulfill this policy are subject to the connection pool's
    `keepAliveDuration` but do not count against the pool-wide `maxIdleConnections` limit.

```
Client #1596980209979 left the chat
```

/// tip

The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.

But keep in mind that, as everything is handled in memory, in a single list, it will only work while the process is running, and will only work with a single process.

import com.google.cloud.storage.StorageOptions;

/**
 * Handler for the "gcs" protocol, allowing access to objects stored in Google Cloud Storage.
 * This handler extends {@link URLStreamHandler} to provide a way to open connections to GCS objects
 * using URLs with the "gcs" protocol.
 *
 * <p>
 * The URL format is expected to be: {@code gcs://bucketName/objectName}.
 * The bucket name and object name are extracted from the URL.
 * </p>
 *

/**
 * Handler for the "s3" protocol, allowing access to objects stored in S3-compatible storage services.
 * This handler extends {@link URLStreamHandler} to provide a way to open connections to S3 objects
 * using URLs with the "s3" protocol.
 *
 * <p>
 * The URL format is expected to be: {@code s3://bucketName/objectName}.
 * The bucket name and object name are extracted from the URL.
 * </p>
 *

                // SECURITY WARNING: Unsecure basic authentication is enabled by default.
                // This sends credentials in Base64 encoding over potentially unencrypted connections.
                // For production, it is STRONGLY RECOMMENDED to set spnego.allow.unsecure.basic to false
                // and use HTTPS or more secure authentication methods.

### Create an Engine { #create-an-engine }

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

You would have **one single `engine` object** for all your code to connect to the same database.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

- github.com/docker/docker: [v20.10.27+incompatible → v26.1.4+incompatible](https://github.com/docker/docker/compare/v20.10.27...v26.1.4)
- github.com/docker/go-connections: [v0.4.0 → v0.5.0](https://github.com/docker/go-connections/compare/v0.4.0...v0.5.0)
- github.com/exponent-io/jsonpath: [d6023ce → 1de76d7](https://github.com/exponent-io/jsonpath/compare/d6023ce...1de76d7)

import org.codelibs.fess.util.OptionalUtil;
import org.dbflute.optional.OptionalEntity;
import org.dbflute.util.DfTypeUtil;

import jakarta.annotation.PostConstruct;

/**
 * Manages LDAP connections and operations.
 */
public class LdapManager {
    private static final Logger logger = LogManager.getLogger(LdapManager.class);

    /** A thread-local variable to hold the directory context. */