---
license: mit
tags:
- tsfile
- timeseries
- time-series
- format:tsfile
pretty_name: hvac_sensor_data (TsFile)
configs:
- config_name: default
  data_files:
  - split: train
    path: hvac_sensor_data.tsfile
---

# hvac_sensor_data (TsFile)

Apache TsFile version of [`jeorgexyz/hvac_sensor_data`](https://huggingface.co/datasets/jeorgexyz/hvac_sensor_data).

## Overview

- **Tables:** 1 TsFile table(s), 112,320 rows in total.
  - `hvac_sensor_data`: 112,320 rows, 2024-11-24 03:05:32.553000 鈫?2024-12-24 03:00:32.553000 (UTC)

## Schema (TsFile structure)

### `hvac_sensor_data.tsfile`

- **Time** (INT64, milliseconds) 鈥?the source `timestamp` column.
- **TAG**: `equipment_id` 鈥?device dimension; query one device with `WHERE equipment_id=...`.
- **FIELD** (10): `equipment_type` (string), `temperature_c` (double), `pressure_kpa` (double), `humidity_pct` (double), `airflow_cfm` (double), `fan_speed_pct` (double), `filter_status` (double), `damper_position_pct` (double), `zone_occupancy` (double), `sensor_status` (double)

## Conversion notes

- One TsFile per source table (1 tables). Tables whose source carries several entities per file are stored as one device per entity, using `equipment_id` as the TAG.
- Time = the table's own clock column as INT64 milliseconds. The clock columns used here are `timestamp`.
- No column is dropped. Rows that share a timestamp inside one device are ordered by a 1 ms step in stable source order, so calendar columns keep their exact day.

## Usage

> **Read this dataset with the Java SDK.** It is written with the `zstd` compressor. The Apache TsFile Java SDK reads every compressor, but the Python SDK (`pip install tsfile`) implements only `UNCOMPRESSED`, `SNAPPY`, `GZIP` and `LZ4`; opening this file with it yields no rows.

Read a converted file with the Apache TsFile Java SDK (`org.apache.tsfile:tsfile`):

```java
import org.apache.tsfile.file.metadata.IDeviceID;
import org.apache.tsfile.read.TsFileReader;
import org.apache.tsfile.read.TsFileSequenceReader;
import org.apache.tsfile.read.common.Path;
import org.apache.tsfile.read.expression.QueryExpression;
import org.apache.tsfile.read.query.dataset.QueryDataSet;
import org.apache.tsfile.write.schema.MeasurementSchema;

import java.util.ArrayList;
import java.util.List;

String path = "hvac_sensor_data.tsfile";
try (TsFileSequenceReader sequenceReader = new TsFileSequenceReader(path);
     TsFileReader reader = new TsFileReader(sequenceReader)) {
    // Devices are enumerated as IDeviceID objects. Tables with TAG columns
    // have multi-segment device ids that cannot be rebuilt from their string
    // form, so always use getAllDevices() rather than getAllDeviceIds().
    for (IDeviceID device : sequenceReader.getAllDevices()) {
        List<Path> paths = new ArrayList<>();
        for (MeasurementSchema schema : reader.getMeasurement(device)) {
            String name = schema.getMeasurementName();
            if (name != null && !name.isEmpty() && !name.equalsIgnoreCase("Time")) {
                paths.add(new Path(device, name, true));
            }
        }
        QueryDataSet dataSet = reader.query(QueryExpression.create(paths, null));
        while (dataSet.hasNext()) {
            System.out.println(dataSet.next());
        }
    }
}
```

## Source & license

- Original dataset: [`jeorgexyz/hvac_sensor_data`](https://huggingface.co/datasets/jeorgexyz/hvac_sensor_data)
- License: mit (as declared by the original dataset).