Kafka guarantees ordering only within a single partition. To keep events for an entity in order, publish them with the same partition key (e.g., `orderId`) so they land in the same partition. There is no global ordering across partitions, and consumers should still handle duplicates/retries.
Advanced answer
Deep dive
Expanding on the short answer — what usually matters in practice:
Explain the "why", not just the "what" (intuition + consequences).
Trade-offs: what you gain/lose (time, memory, complexity, risk).
Edge cases: empty inputs, large inputs, invalid inputs, concurrency.
Examples
A tiny example (an explanation template):
// Example: discuss trade-offs for "kafka-ordering:-what-ordering-guarantees-do-you-"
function explain() {
// Start from the core idea:
// Kafka guarantees ordering only within a single partition. To keep events for an entity in
}
Common pitfalls
Too generic: no concrete trade-offs or examples.
Mixing average-case and worst-case (e.g., complexity).