dora/node-hub/dora-record

• dora-record
• • Getting Started
  • Adding to existing graph:
  • Output Files
  • merging multiple file

dora-record

dora data recording using Apache Arrow Parquet.

This nodes is still experimental.

Getting Started

cargo install dora-record --locked

Adding to existing graph:

- id: dora-record
  custom:
    source: dora-record
    inputs:
      image: webcam/image
      text: webcam/text
      # You can add any input and it is going to be logged.

Output Files

Format: Parquet file

path: out/<DATAFLOW_ID>/<INPUT>.parquet

Columns:

• trace_id: String, representing the id of the current trace
• span_id: String, representing the unique span id
• timestamp_uhlc: u64, representing the timestamp in Unique Hybrid Logical Clock time
• timestamp_utc: DataType::Timestamp(Milliseconds), representing the timestamp in Coordinated Universal Time.
• <INPUT> : Column containing the input in its defined format.

Example:

{
  "trace_id": "2fd23ddf1b5d2aa38ddb86ceedb55928",
  "span_id": "15aef03e0f052bbf",
  "timestamp_uhlc": "7368873278370007008",
  "timestamp_utc": 1715699508406,
  "random": [1886295351360621740]
}

merging multiple file

We can merge input files using the trace_id that is going to be shared when using opentelemetry features.

• trace_id can also be queried from UI such as jaeger UI, influxDB and so on...
• trace_id keep tracks of the logical flow of data, compared to timestamp based merging that might not reflect the actual logical flow of data.