match     func(*DB) bool
	handler   func(*DB)
	processor *processor
}

func (cs *callbacks) Create() *processor {
	return cs.processors["create"]
}

func (cs *callbacks) Query() *processor {
	return cs.processors["query"]
}

func (cs *callbacks) Update() *processor {
	return cs.processors["update"]
}

func (cs *callbacks) Delete() *processor {
	return cs.processors["delete"]
}

                    java.util.function.BiFunction<org.opensearch.action.update.UpdateRequestBuilder, org.opensearch.search.SearchHit, org.opensearch.action.update.UpdateRequestBuilder> processor) {
                // Return 0 to simulate no documents processed due to error
                return 0L;
            }
        };
        ComponentUtil.register(errorClient, "searchEngineClient");

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

     * Continuously processes crawled documents from the data service, transforms them,
     * and updates the search index until crawling is finished and all documents are processed.
     *
     * <p>The method performs the following operations in a loop:
     * <ul>
     * <li>Retrieves access results from the data service</li>
     * <li>Processes each document through transformers</li>

            ComponentUtil.register(newQueryProcessor, "queryProcessor");

            // Register the command with the new processor
            PrefixQueryCommand newCommand = new PrefixQueryCommand();
            newCommand.register();

            // Verify that the command can process PrefixQuery by executing it
            PrefixQuery query = new PrefixQuery(new Term("field", "test"));

    protected String defaultField = null;

    /**
     * Constructs a new QueryContext with the specified query string.
     * Processes special query prefixes (allinurl:, allintitle:) and initializes
     * request-scoped attributes for highlighting and field logging.
     * @param queryString The query string to process.
     * @param isQuery Whether this is a search query (enables highlighting and logging).
     */
    @SuppressWarnings("unchecked")

            chain.id = i;
            chains.add(chain);
            authenticationManager.addChain(chain);
        }

        // Test order by using load which processes chains sequentially
        User user = createTestUser("testuser");
        for (int i = 0; i < chains.size(); i++) {
            User nextUser = createTestUser("user" + (i + 1));

This is still true.

So, to be able to have **multiple processes** at the same time, there has to be a **single process listening on a port** that then transmits the communication to each worker process in some way.

### Memory per Process { #memory-per-process }

                logger.warn("Failed to process a thumbnail generation.", e);
            }
        });

        if (!idList.isEmpty()) {
            thumbnailQueueBhv.queryDelete(cb -> {
                cb.query().setId_InScope(idList);
            });
            thumbnailQueueBhv.refresh();
        }
        return idList.size();
    }

    /**
     * Processes a single thumbnail generation task.
     *

```

</div>

////

The only new option here is `--workers` telling Uvicorn to start 4 worker processes.

You can also see that it shows the **PID** of each process, `27365` for the parent process (this is the **process manager**) and one for each worker process: `27368`, `27369`, `27370`, and `27367`.

## Deployment Concepts { #deployment-concepts }