Database / DuckDB Interview questions
What is zero-copy integration with Pandas/Arrow?
Zero-copy integration means DuckDB can read data from (and hand data back to) tools like Pandas or Apache Arrow without physically duplicating that data in memory first, by sharing the same underlying columnar memory layout (Arrow's format) rather than serializing and deserializing between two different in-memory representations.
import duckdb import pyarrow as pa arrow_table = pa.table({"id": [1, 2, 3], "value": [10, 20, 30]}) result = duckdb.sql("SELECT id, value * 2 AS doubled FROM arrow_table").arrow()
Because Arrow's in-memory columnar format is compatible with DuckDB's own internal representation, moving data between the two doesn't require an expensive full copy the way moving data between, say, a row-oriented database and a columnar Python library typically would. This is a significant performance advantage for data science workflows that repeatedly move data between SQL queries and Python-based analysis or machine learning steps.
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