How are fields treated for ticks? - briefly
In tick data, each attribute is stored as a fixed‑size element and handled as an atomic unit to guarantee deterministic parsing and low latency. The system validates the attribute type, performs any necessary conversion, and then passes the value to downstream consumers.
How are fields treated for ticks? - in detail
In tick‑focused data models, each field is interpreted as a discrete unit of time or event that can be indexed, filtered, or aggregated. The system assigns a temporal granularity—typically seconds, milliseconds, or custom ticks—to every column designated for time‑sensitive information. When a record is inserted, the field value is converted to the internal tick representation, ensuring uniformity across the dataset.
Processing steps include:
- Normalization – raw timestamps are transformed into a standardized tick count based on the chosen resolution.
- Validation – the system checks that the tick value falls within permissible bounds (e.g., non‑negative, within the epoch range).
- Indexing – tick fields are stored in specialized time‑series indexes that support range queries and rapid look‑ups.
- Aggregation – during query execution, tick fields can be summed, averaged, or grouped by intervals, with the engine handling overflow and precision loss automatically.
When queries reference tick fields, the engine translates logical conditions (e.g., “greater than 5 000 ticks”) into low‑level comparisons against the stored integer values. This approach eliminates the need for string parsing or timezone conversion, resulting in predictable performance.
For composite records, tick fields may serve as primary keys or part of composite keys, guaranteeing uniqueness when combined with other identifiers. In update operations, the system enforces immutability of tick fields unless explicitly permitted, preserving the chronological integrity of the data.
Overall, fields designated for tick data undergo strict type enforcement, conversion to a uniform integer representation, and integration into time‑optimized storage structures, enabling precise, high‑speed temporal analysis.