How to Efficiently Insert 1,000 Records with MyBatis: Loop vs Batch

Interview Question Overview

A common interview scenario asks: "How would you insert 1,000 rows into a database using MyBatis in a single operation?" One naive answer is to use a Java for loop, but that overlooks performance and reliability concerns.

Why 1,000 Rows Isn’t a Large Scale

In practice, 1,000 rows is relatively small; a loop works fine and avoids over‑engineering. However, the discussion highlights that developers often mistake the scale and immediately think about massive batch processing.

When the Data Grows (e.g., 10 Million Rows)

For truly large datasets, you should split the data into batches and turn off autocommit. This pattern is common during database migrations and other heavy‑load operations.

MyBatis Batch Limitations

MyBatis batch inserts can throw exceptions when the batch size exceeds its default limits (typically around 4 MB). In such cases, falling back to a simple loop remains a safe option.

Practical Recommendation

For small volumes (≈1,000 rows), a straightforward for loop is acceptable.

For larger volumes, use <foreach> in MyBatis or manual batch statements, ensure autocommit is disabled, and monitor batch size to avoid exceptions.

Both approaches are technically correct; the key is to match the solution to the data size and operational constraints.