Reference library

Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

1 match
Data pipelines & processing medium

Enrich a stream with reference data by key lookup in Python

Uses streamz to join each incoming record to a reference dictionary by name, adding department and level fields or defaults.

streamz streaming join
Python 
from streamz import Stream

reference = {"alice": {"dept": "eng", "level": 3}, "bob": {"dept": "sales", "level": 5}}

def enrich(record):
    name = record.get("name")
    ref = reference.get(name)
    joined = dict(record)
    if ref:
        joined.update(ref)
    else:
        joined["dept"] = "unknown"
        joi…
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