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Hypertables

Hypertables are the core feature of TimescaleDB, automatically partitioning your data by time and other dimensions into smaller, more manageable child tables called "chunks." This architecture is the key to achieving fast ingest rates and query performance on large time-series datasets.

Creating a Hypertable

To convert a standard entity into a hypertable, use the Hypertable attribute in your entity. You must specify a time column, which will serve as the primary partitioning dimension. By default, chunks are created to cover a time interval of 7 days. You can customize this using the ChunkTimeInterval property.

[Hypertable(nameof(Time), ChunkTimeInterval = "1 day")]
[PrimaryKey(nameof(Id), nameof(Time))]
public class DeviceReading
{
public Guid Id { get; set; }
public DateTime Time { get; set; }
public string DeviceId { get; set; } = string.Empty;
public double Voltage { get; set; }
public double Power { get; set; }
}

Advanced Partitioning with Dimensions

To add partitioning with dimensions, refere to the Fluent API.

Compression

Time-series data can be compressed to reduce the amount of storage required, and increase the speed of some queries. This is a cornerstone feature of TimescaleDB. When new data is added to your database, it is in the form of uncompressed rows. TimescaleDB uses a built-in job scheduler to convert this data to the form of compressed columns. This occurs across chunks of TimescaleDB hypertables.

See also: TimescaleDB Compression

[Hypertable(nameof(Time), EnableCompression = true)]
[PrimaryKey(nameof(Id), nameof(Time))]
public class DeviceReading
{
public Guid Id { get; set; }
public DateTime Time { get; set; }
public string DeviceId { get; set; } = string.Empty;
public double Voltage { get; set; }
public double Power { get; set; }
}

Chunk skipping

Enable range statistics for a specific column in a compressed hypertable. This tracks a range of values for that column per chunk. Used for chunk skipping during query optimization and applies only to the chunks created after chunk skipping is enabled.

⚠️ Note: When you use chunk skipping, compression is enabled automatically on the hypertable, as it is a prerequisite.

See also: enable_chunk_skipping

[Hypertable(nameof(Time), ChunkSkipColumns = new[] { "Time", "DeviceId" })]
[PrimaryKey(nameof(Id), nameof(Time))]
public class DeviceReading
{
public Guid Id { get; set; }
public DateTime Time { get; set; }
public string DeviceId { get; set; } = string.Empty;
public double Voltage { get; set; }
public double Power { get; set; }
}