* `datetime.time`:
    * A Python `datetime.time`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `14:23:55.003`.
* `datetime.timedelta`:
    * A Python `datetime.timedelta`.
    * In requests and responses will be represented as a `float` of total seconds.

    public static final String WEB_FS_CRAWLER_START_TIME = "WebFsCrawlStartTime";

    /** Info map key for web/file system crawler end time. */
    public static final String WEB_FS_CRAWLER_END_TIME = "WebFsCrawlEndTime";

    /** Info map key for data crawler start time. */
    public static final String DATA_CRAWLER_START_TIME = "DataCrawlStartTime";

    /** Info map key for data crawler end time. */

### Feature

- Kubeadm: generate CA certificates with a start time that is offset 5 minutes in the past relative to the current system time to workaround cases of clock desync.

pkg context, func WithDeadline(Context, time.Time) (Context, CancelFunc)
pkg context, func WithTimeout(Context, time.Duration) (Context, CancelFunc)
pkg context, func WithValue(Context, interface{}, interface{}) Context
pkg context, type CancelFunc func()
pkg context, type Context interface { Deadline, Done, Err, Value }
pkg context, type Context interface, Deadline() (time.Time, bool)
pkg context, type Context interface, Done() <-chan struct

            });
            jobLogBhv.batchUpdate(list);
        }
    }

    /**
     * Sets the time interval after which jobs are considered expired.
     *
     * @param expiredJobInterval the time interval in milliseconds
     */
    public void setExpiredJobInterval(final long expiredJobInterval) {
        this.expiredJobInterval = expiredJobInterval;
    }

   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,

		Name     string
		Salary   float64
		Birthday time.Time `gorm:"precision:4"`
	}

	DB.Migrator().DropTable(&UserMigrateColumn{})

	DB.AutoMigrate(&UserMigrateColumn{})

	type UserMigrateColumn2 struct {
		ID                  uint
		Name                string    `gorm:"size:128"`
		Salary              float64   `gorm:"precision:2"`
		Birthday            time.Time `gorm:"precision:2"`

	NewerThan     xtime.Duration `yaml:"newerThan,omitempty" json:"newerThan"`
	OlderThan     xtime.Duration `yaml:"olderThan,omitempty" json:"olderThan"`
	CreatedAfter  time.Time      `yaml:"createdAfter,omitempty" json:"createdAfter"`
	CreatedBefore time.Time      `yaml:"createdBefore,omitempty" json:"createdBefore"`
	Tags          []BatchJobKV   `yaml:"tags,omitempty" json:"tags"`

		return nil
	}
	numSites := len(c.state.Peers)
	mostRecent := func(d1, d2 time.Time) time.Time {
		if d1.IsZero() {
			return d2
		}
		if d2.IsZero() {
			return d1
		}
		if d1.After(d2) {
			return d1
		}
		return d2
	}

	var (
		latestID   string
		lastUpdate time.Time
		withB      []string
		missingB   []string
		deletedCnt int
	)

    }
  }

  /**
   * Returns a supplier that caches the instance supplied by the delegate and removes the cached
   * value after the specified time has passed. Subsequent calls to {@code get()} return the cached
   * value if the expiration time has not passed. After the expiration time, a new value is
   * retrieved, cached, and returned. See: <a
   * href="http://en.wikipedia.org/wiki/Memoization">memoization</a>
   *