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docs: add semaphore example for running tests sequentially (#6038)
Signed-off-by: Muhan Song <[email protected]>
This commit is contained in:
@@ -123,6 +123,117 @@ use std::sync::Arc;
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/// # }
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/// ```
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///
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/// ## Prevent tests from running in parallel
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///
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/// By default, Rust runs tests in the same file in parallel. However, in some cases, running two tests in parallel may lead to problems.
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/// For example, this can happen when tests use the same database.
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///
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/// Consider the following scenario:
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/// 1. `test_insert`: Inserts a key-value pair into the database, then retrieves the value using the same key to verify the insertion.
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/// 2. `test_update`: Inserts a key, then updates the key to a new value and verifies that the value has been accurately updated.
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/// 3. `test_others`: A third test that doesn't modify the database state. It can run in parallel with the other tests.
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///
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/// In this example, `test_insert` and `test_update` need to run in sequence to work, but it doesn't matter which test runs first.
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/// We can leverage a semaphore with a single permit to address this challenge.
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///
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/// ```
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/// use tokio::sync::Semaphore;
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/// # use tokio::sync::Mutex;
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/// # use std::collections::BTreeMap;
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/// # struct Database {
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/// # map: Mutex<BTreeMap<String, i32>>,
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/// # }
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/// # impl Database {
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/// # pub const fn setup() -> Database {
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/// # Database {
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/// # map: Mutex::const_new(BTreeMap::new()),
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/// # }
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/// # }
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/// # pub async fn insert(&self, key: &str, value: i32) {
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/// # self.map.lock().await.insert(key.to_string(), value);
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/// # }
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/// # pub async fn update(&self, key: &str, value: i32) {
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/// # self.map.lock().await
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/// # .entry(key.to_string())
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/// # .and_modify(|origin| *origin = value);
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/// # }
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/// # pub async fn delete(&self, key: &str) {
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/// # self.map.lock().await.remove(key);
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/// # }
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/// # pub async fn get(&self, key: &str) -> i32 {
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/// # *self.map.lock().await.get(key).unwrap()
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/// # }
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/// # }
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///
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/// // Initialize a static semaphore with only one permit, which is used to
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/// // prevent test_insert and test_update from running in parallel.
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/// static PERMIT: Semaphore = Semaphore::const_new(1);
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///
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/// // Initialize the database that will be used by the subsequent tests.
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/// static DB: Database = Database::setup();
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///
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/// #[tokio::test]
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/// # async fn fake_test() {}
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/// async fn test_insert() {
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/// // Acquire permit before proceeding. Since the semaphore has only one permit,
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/// // the test will wait if the permit is already acquired by other tests.
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/// let permit = PERMIT.acquire().await.unwrap();
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///
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/// // Do the actual test stuff with database
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///
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/// // Insert a key-value pair to database
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/// let (key, value) = ("name", 0);
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/// DB.insert(key, value).await;
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///
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/// // Verify that the value has been inserted correctly.
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/// assert_eq!(DB.get(key).await, value);
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///
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/// // Undo the insertion, so the database is empty at the end of the test.
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/// DB.delete(key).await;
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///
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/// // Drop permit. This allows the other test to start running.
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/// drop(permit);
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/// }
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///
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/// #[tokio::test]
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/// # async fn fake_test() {}
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/// async fn test_update() {
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/// // Acquire permit before proceeding. Since the semaphore has only one permit,
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/// // the test will wait if the permit is already acquired by other tests.
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/// let permit = PERMIT.acquire().await.unwrap();
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///
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/// // Do the same insert.
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/// let (key, value) = ("name", 0);
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/// DB.insert(key, value).await;
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///
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/// // Update the existing value with a new one.
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/// let new_value = 1;
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/// DB.update(key, new_value).await;
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///
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/// // Verify that the value has been updated correctly.
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/// assert_eq!(DB.get(key).await, new_value);
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///
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/// // Undo any modificattion.
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/// DB.delete(key).await;
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///
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/// // Drop permit. This allows the other test to start running.
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/// drop(permit);
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/// }
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///
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/// #[tokio::test]
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/// # async fn fake_test() {}
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/// async fn test_others() {
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/// // This test can run in parallel with test_insert and test_update,
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/// // so it does not use PERMIT.
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/// }
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/// # #[tokio::main]
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/// # async fn main() {
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/// # test_insert().await;
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/// # test_update().await;
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/// # test_others().await;
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/// # }
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/// ```
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///
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/// ## Rate limiting using a token bucket
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///
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/// Many applications and systems have constraints on the rate at which certain
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