# 02 — merge() vs refresh()

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Backs [ankurm.com: merge() vs refresh()](https://ankurm.com/mastering-hibernate-7-merging-vs-refreshing-entities-for-robust-data-consistency/).

Test classes: [`MergeRefreshTest`](../src/test/java/com/ankurm/hibernatedemo/MergeRefreshTest.java),
[`OptimisticLockTest`](../src/test/java/com/ankurm/hibernatedemo/OptimisticLockTest.java).
Entity: [`Book`](../src/main/java/com/ankurm/hibernatedemo/model/Book.java) — note the real
`@Version` column and the `notes` LAZY collection, both load-bearing for the experiments below.

```bash
./mvnw -Dtest=MergeRefreshTest,OptimisticLockTest test
```

Raw captured output: [`docs/output/merge-vs-refresh-tests.txt`](output/merge-vs-refresh-tests.txt).
(The `docs/output/merge-vs-refresh.txt` file, unchanged, is the older `CommandLineRunner`
transcript behind the `mergerefresh` profile mentioned in the README — a different, narrower
scenario than the three experiments below.)

## Contract vs observation

The textbook framing is "`merge()` pushes Java state to the database, `refresh()` pulls database
state into Java — opposite directions of the same kind of operation." That's accurate as a
description of data flow and useless as a guide to which one is dangerous. The three experiments
below are about the part the contract doesn't specify: what each method does when the state it's
holding is already stale, which is precisely the situation both exist to handle.

## Reframing: this is about entity state, not "data consistency"

`merge()` and `refresh()` don't care about your application's notion of consistency. They care
about exactly one thing: what identity state (`@Version` value, or an unflushed field on a managed
instance) the object handed to them holds at the moment they're called. Everything below follows
from that, entity-state mechanics, not from anything data-consistency-flavored.

## Experiment 1 — merge() of a detached instance

**Config:** a `Book` row exists in the database. A session already holds its *own* managed
instance of that row (via `get()`), before `merge()` is ever called on a separately-detached copy
of the same row.

**Expected:** `merge()` returns some object representing the updated state.

**Observed:** `merge()` returns the exact, identity-equal managed instance the session already had
— not a new object, and not the detached instance passed in:

```java
Book result = session.merge(detached);
assertThat(result).isSameAs(managed);       // true
assertThat(result).isNotSameAs(detached);   // true
```

This is the precise version of "`merge()` returns a managed copy" — it's not just *a* managed
copy, it's *the* one instance this persistence context has already committed to tracking for this
row, reused rather than replaced.

## Experiment 2 — optimistic-lock conflict: WHEN does it surface?

**Config:** a detached `Book` instance holds `version=0`. A second, independent session has since
updated the same row and committed, advancing the database to `version=1`. The stale detached
instance is then edited and merged.

**Expected (the common but imprecise claim):** "`merge()` throws `OptimisticLockException`."

**Observed, precisely:** it does — and specifically **at the `merge()` call itself**, not at
`flush()` and not at `tx.commit()`:

```
OptimisticLockException surfaced directly from the merge() call.
exception: jakarta.persistence.OptimisticLockException: Row was already updated or deleted by
another transaction for entity [com.ankurm.hibernatedemo.model.Book with id '4']
```

The test doesn't assume this — it wraps `session.merge(detached)` in a `try/catch` first and only
falls through to asserting the exception at `commit()` if `merge()` itself didn't throw, logging
which path actually happened. On 7.4.1.Final, `merge()` re-selects the row as part of copying
state and compares versions right there, before any flush is even scheduled — so the failure is as
early as it can possibly be. This matters in code that wraps `merge()` calls expecting the
exception only at commit time: on this version, it never gets that far.

## Experiment 3 — merge() with a LAZY collection under CascadeType.MERGE

**Config:** `Book.notes` is `FetchType.LAZY` and cascades `MERGE`. A `Book` is loaded and detached
*without ever touching* `.getNotes()` — the collection proxy is confirmed uninitialized before
detachment. The detached instance is edited and merged.

**Expected (the naive, plausible-sounding claim):** "an unfetched LAZY collection is never
touched by `merge()`, since it was never loaded in the first place."

**Observed:** the opposite. `merge()` initializes the collection anyway:

```java
Book merged = session.merge(detached);
assertThat(Hibernate.isInitialized(merged.getNotes())).isTrue(); // true -- NOT false
```

The reason is cascading itself: `CascadeType.MERGE` on `notes` means merging the parent requires
merging each element of that collection too, and Hibernate cannot cascade to elements it hasn't
loaded — so it loads them first. Remove `cascade = CascadeType.MERGE` from `Book.notes` and
re-run this exact test and the result flips: the collection stays uninitialized, because nothing
requires Hibernate to look at it. Cascading, not laziness, decides whether `merge()` touches an
unfetched collection.

## Experiment 4 — refresh() silently discards an unflushed edit

**Config:** the `USER_EDIT` / `ADMIN_EDIT` scenario. A `Book.status` row starts at `USER_EDIT`. A
separate admin process loads the row, sets `status=ADMIN_EDIT`, and commits. A second session then
loads the row (now `ADMIN_EDIT` in the database), makes a local, unflushed edit back to
`USER_EDIT`, and calls `session.refresh()` on the managed instance.

**Observed:**

```java
managed.setStatus("USER_EDIT");           // local edit, never sent to the database
session.refresh(managed);
assertThat(managed.getStatus()).isEqualTo("ADMIN_EDIT"); // the local edit is gone
```

No exception. No warning. `refresh()` re-runs the `SELECT` and overwrites every field on the
managed instance with what the database currently holds — including the field holding the pending
edit that was never flushed. The edit isn't rejected; it's erased.

## What surprised me building this

Going in, the plan was to demonstrate "`merge()` can silently overwrite concurrent changes" as
the headline risk — that's the framing most write-ups use, and it's the one the article originally
carried. Running Experiments 2 and 4 back to back showed the opposite. With a real `@Version`
column in place, `merge()` is the one that refuses to write a stale change — loudly, at the
earliest possible point. `refresh()` is the one that destroys data without a sound, and it does it
to an edit that was never even sent to the database. The risk isn't "which method can overwrite
the database" — both can, that's their job. It's "which one fails loudly when the state it's
holding is stale," and on a versioned entity that's `refresh()`, not `merge()` — backwards from
how the pairing is usually described. Strip the `@Version` column out and Experiment 2 flips: an
unversioned `merge()` would apply the stale write without complaint. The column isn't incidental
to the result; it's the entire reason the result comes out this way.

The LAZY-collection result (Experiment 3) was the other correction: the plan going in was to
show that unfetched LAZY state is never touched by `merge()`. It is, specifically because of the
cascade — a fact only visible by running the on/off comparison rather than asserting the more
intuitive-sounding half of it.

## Decision tree

```
Do you have a DETACHED instance you want written to the database?
├─ Yes → merge()
│         Does the entity carry @Version?
│         ├─ Yes → a stale write throws OptimisticLockException AT THE merge() CALL — loud, safe
│         └─ No  → a stale write silently overwrites the current row — no different from update()
│
└─ No, you have a MANAGED instance and want it to reflect the current database row
          → refresh()
            Does it have an unflushed local edit?
            ├─ Yes → that edit is silently discarded, no exception — refresh() is NOT reversible
            └─ No  → refresh() is a safe, ordinary re-read
```

## Pessimistic locking, briefly

Pessimistic locking (`LockModeType.PESSIMISTIC_WRITE`, issuing `SELECT ... FOR UPDATE`) is the
other tool for the same underlying problem — it prevents the conflict from ever existing rather
than detecting it after the fact. Reach for it only when the retry cost of an
`OptimisticLockException` is genuinely unacceptable (real-time seat/ticket reservation, high
per-row contention); it holds a database lock for the duration of the transaction, which is the
wrong tradeoff for the common case of a REST API with real user think-time between load and save.
`@Version` optimistic locking is the sane default; this repo doesn't carry a dedicated scenario for
pessimistic locking because there's no surprising runtime behavior to verify here beyond "the lock
is held until commit," which the database's own documentation already states correctly.

[← Previous: 01 — get() vs getReference()](01-get-vs-load.md) | [Next: 03 — Inserting objects →](03-inserting-objects.md)