op -> op.uniqueBy(id).changeNoticeLogToDebug().params(paramsOp));
            } else {
                logger.info("Inactive Job {}:{}", id, scheduledJob.getName());
                cron.registerNonCron(fessConfig.getSchedulerJobClassAsClass(), fessConfig.getSchedulerConcurrentExecModeAsEnum(),
                        op -> op.uniqueBy(id).changeNoticeLogToDebug().params(paramsOp));
            }

            return userCode;
        }
        return null;
    }

    /**
     * Generates a new unique identifier for user tracking.
     * Creates a UUID and removes hyphens to create a clean identifier string.
     *
     * @return a new unique identifier string
     */
    protected String getId() {
        return UUID.randomUUID().toString().replace("-", StringUtil.EMPTY);
    }

	Bucket              string // remote bucket target
	replicateSync       bool
	StorageClass        string // storage class on remote
	disableProxy        bool
	ARN                 string // ARN to uniquely identify remote target
	ResetID             string
	Endpoint            string
	Secure              bool

		if field == nil {
			t.Fatalf("%v: failed to find column %q", utils.FileWithLineNum(), fieldName)
		}
		if field.Unique != unique {
			t.Fatalf("%v: %q column %q unique should be %v but got %v", utils.FileWithLineNum(), stmt.Schema.Table, fieldName, unique, field.Unique)
		}
		if field.UniqueIndex != uniqueIndex {

		if err != nil {
			t.Fatalf("failed to parse user unique, got error %v", err)
		}

		constraints := user.ParseUniqueConstraints()
		if len(constraints) != 1 {
			t.Fatalf("failed to find unique constraint, got %v", constraints)
		}

		for key := range constraints {
			if len(key) != 63 {
				t.Errorf("failed to find unique constraint, got %v", constraints)
			}
		}
	})

    sort(contents, 0, n, comparator);
    int uniques = 1;
    for (int i = 1; i < n; i++) {
      E cur = contents[i];
      E prev = contents[uniques - 1];
      if (comparator.compare(cur, prev) != 0) {
        contents[uniques++] = cur;
      }
    }
    Arrays.fill(contents, uniques, n, null);
    if (uniques < contents.length / 2) {

In this case, you will have to ensure that each operation ID is **unique** in some other way.

For example, you could make sure that each *path operation* has a tag, and then generate the operation ID based on the **tag** and the *path operation* **name** (the function name).

### Custom Generate Unique ID Function { #custom-generate-unique-id-function }

            String nonceStr = Arrays.toString(nonce);
            assertFalse(nonces.contains(nonceStr), "Nonce should be unique");
            nonces.add(nonceStr);
        }

        // Then all nonces should be unique
        assertEquals(numNonces, nonces.size(), "All nonces should be unique");
    }

    @Test
    @DisplayName("Should generate secure nonces with proper randomness")

        faultCodes.add(DcerpcError.DCERPC_FAULT_UNK_IF);
        faultCodes.add(DcerpcError.DCERPC_FAULT_PROTO_ERROR);

        // Verify all 9 codes are unique
        assertEquals(9, faultCodes.size(), "All fault codes should be unique");
    }

    @Test
    @DisplayName("Should verify fault code value ranges and patterns")
    void testFaultCodeValueRanges() {

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.