## `fastapi run` { #fastapi-run }

Executing `fastapi run` starts FastAPI in production mode.

// invocation of F then behaves like a call to panic, terminating G's
// execution and running any deferred functions. This continues until all
// functions in the executing goroutine have stopped, in reverse order. At
// that point, the program is terminated with a non-zero exit code. This
// termination sequence is called panicking and can be controlled by the
// built-in function recover.
//

import org.codelibs.fess.util.InputStreamThread;
import org.codelibs.fess.util.JobProcess;
import org.codelibs.fess.util.SystemUtil;

import jakarta.servlet.ServletContext;

/**
 * Job for executing Python scripts within the Fess search engine environment.
 * This job extends ExecJob to provide Python-specific functionality for running
 * Python scripts with proper environment setup and argument passing.
 *

## Tips and Best Practices

To get realistic results, you should exercise care when running benchmarks. Here are a few tips:

### Do

* Ensure that the system executing your microbenchmarks has as little load as possible. Shutdown every process that can cause unnecessary
  runtime jitter. Watch the `Error` column in the benchmark results to see the run-to-run variance.

  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_TensorHandle* var_handle = TestVariable(ctx, 2.0, dev2_name);
  EXPECT_NE(var_handle, nullptr);
  TFE_ContextAsyncWait(ctx, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  const string function_def = VariableAddFunction();

import org.codelibs.fess.util.JobProcess;
import org.codelibs.fess.util.ResourceUtil;
import org.codelibs.fess.util.SystemUtil;

import jakarta.servlet.ServletContext;

/**
 * This job is responsible for executing the suggest creator process.
 * It builds and runs a command-line process to generate suggest data,
 * handling classpath setup, system properties, and process monitoring.
 */
public class SuggestJob extends ExecJob {

### EventListener.Factory

In the preceding example we used a field, `callStartNanos`, to track the elapsed time of each event. This is handy, but it won’t work if multiple calls are executing concurrently. To accommodate this, use a `Factory` to create a new `EventListener` instance for each `Call`. This allows each listener to keep call-specific state.

The [mc sql](https://docs.min.io/community/minio-object-store/reference/minio-mc/mc-sql.html) command can be used for executing queries using the command line.

(*) Parquet is disabled on the MinIO server by default. See below how to enable it.

## Enabling Parquet Format

import org.opensearch.search.sort.SortBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Abstract base class for query command implementations.
 * Provides common functionality for processing and executing search queries.
 */
public abstract class QueryCommand {

    /**
     * Default constructor for QueryCommand.
     * Creates a new instance of the query command with default settings.
     */

import groovy.lang.Script;
import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;

/**
 * Groovy script engine implementation that extends AbstractScriptEngine.
 * This class provides support for executing Groovy scripts with parameter binding
 * and DI container integration.
 *
 * <p>Thread Safety: This class is thread-safe. Each cached entry holds its own