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Datasets:
wangdx25
/
hvac_sensor_data

Modalities:
Time-series
Tags:
tsfile
timeseries
time-series
format:tsfile
License:
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hvac_sensor_data / README.md
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metadata 
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.

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):

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