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skills/temporal-developer/references/java/determinism.md
3.41 KB · Oct 2, 2026 · 00:08 UTC
# Java SDK Determinism ## Overview The Java SDK has **no sandbox** (only Python and TypeScript have sandboxing). The Java SDK relies on developer conventions to enforce determinism. The SDK provides `Workflow.*` APIs as safe replacements for common non-deterministic operations. A static analysis tool (`temporal-workflowcheck`, beta) can catch violations at build time — see `references/java/determinism-protection.md`. ## Why Determinism Matters: History Replay Temporal provides durable execution through **History Replay**. When a Worker needs to restore workflow state (after a crash, cache eviction, or to continue after a long timer), it re-executes the workflow code from the beginning, which requires the workflow code to be **deterministic**. ## SDK Protection Java workflow code runs in a cooperative threading model where only one workflow thread executes at a time under a global lock. The SDK does not intercept or block non-deterministic calls at runtime. If you call a forbidden operation, it will silently succeed during the initial execution but cause a `NonDeterministicException` when the workflow is replayed. `temporal-workflowcheck` (static analysis, beta) and `WorkflowReplayer` (replay testing) can help uncover some violations, but they are not exhaustive — careful code review and adherence to the rules below remain essential. ## Forbidden Operations in Workflows The following are forbidden inside workflow code but are appropriate to use in activities. - `Thread.sleep()` — blocks the real thread, bypasses Temporal timers - `new Thread()` or thread pools — breaks the cooperative threading model - `synchronized` blocks and explicit locks — can deadlock with the workflow executor - `UUID.randomUUID()` — non-deterministic across replays - `Math.random()` or `new Random()` — non-deterministic across replays - `System.currentTimeMillis()` or `Instant.now()` — non-deterministic across replays - Direct I/O (network, filesystem, database) — side effects must run in activities - Mutable global/static state — shared state breaks isolation between workflow instances - `CompletableFuture` — bypasses the workflow scheduler; use `Promise` instead ## Safe Builtin Alternatives | Forbidden | Safe Alternative | |-----------|------------------| | `Thread.sleep(millis)` | `Workflow.sleep(Duration.ofMillis(millis))` | | `UUID.randomUUID()` | `Workflow.randomUUID()` | | `Math.random()` | `Workflow.newRandom().nextInt()` | | `System.currentTimeMillis()` | `Workflow.currentTimeMillis()` | | `new Thread(runnable)` | `Async.function(func)` / `Async.procedure(proc)` | | `CompletableFuture<T>` | `Promise<T>` / `CompletablePromise<T>` | | `BlockingQueue<T>` | `WorkflowQueue<T>` | | `Future<T>` | `Promise<T>` | ## Testing Replay Compatibility Use the `WorkflowReplayer` class to verify your code changes are compatible with existing histories. See the Workflow Replay Testing section of `references/java/testing.md`. ## Best Practices 1. Use `Workflow.currentTimeMillis()` for all time operations 2. Use `Workflow.newRandom()` for random values 3. Use `Workflow.randomUUID()` for unique identifiers 4. Use `Async.function()` / `Async.procedure()` instead of raw threads 5. Use `Promise` and `CompletablePromise` instead of `CompletableFuture` 6. Test with `WorkflowReplayer` to catch non-determinism 7. Keep workflows focused on orchestration, delegate I/O to activities 8. Use `Workflow.getLogger()` for replay-safe logging
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