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Andre","url":"https://github.com/yornaath/batshit"},"license":"MIT","homepage":"https://github.com/yornaath/batshit#readme","repository":{"type":"git","url":"git+https://github.com/yornaath/batshit.git"},"description":"A batch manager that will deduplicate and batch requests for a certain data type made within a window.","maintainers":[{"name":"gorillatron","email":"jornandretangen@gmail.com"}],"readme":"# @yornaath/batshit [![CI](https://github.com/yornaath/batshit/actions/workflows/ci.yml/badge.svg)](https://github.com/yornaath/batshit/actions/workflows/ci.yml)\r\n\r\nA batch manager that will deduplicate and batch requests for a given data type made within a window of time (or other custom scheduling). Useful to batch requests made from multiple react components that uses react-query or do batch processing of accumulated tasks.\r\n\r\n### Codesandbox example\r\nHere is a codesanbox example using react, typescript, vite and the zeitgeist prediction-markets indexer api.\r\nIt fetches markets up front and then batches all liquidity pool fetches made from the individual components into one request.\r\n\r\n[Codesandbox](https://codesandbox.io/s/yornaath-batshit-example-8f8q3w?file=/src/App.tsx)\r\n\r\n### Example with devtools\r\nExample using zeitgeist market and pool data with included devtools to inspect the batching process.\r\nThe working live code for the example linked below can be found in [./packages/example](https://github.com/yornaath/batshit/tree/master/packages/example)\r\n\r\n[Vercel Example app](https://batshit-example.vercel.app/)\r\n\r\n## Install\r\n```bash\r\nyarn add @yornaath/batshit\r\n```\r\n\r\n## Quickstart\r\n\r\nHere we are creating a simple batcher that will batch all fetches made within a window of 10 ms into one request.\r\n\r\n```ts\r\nimport { create, keyResolver, windowScheduler } from \"@yornaath/batshit\";\r\n\r\ntype User = { id: number; name: string };\r\n\r\nconst users = create({\r\n fetcher: async (ids: number[]) => {\r\n return client.users.where({\r\n id_in: ids,\r\n });\r\n },\r\n resolver: keyResolver(\"id\"),\r\n scheduler: windowScheduler(10), // Default and can be omitted.\r\n});\r\n\r\n/**\r\n * Requests will be batched to one call since they are done within the same time window of 10 ms.\r\n */\r\nconst bob = users.fetch(1);\r\nconst alice = users.fetch(2);\r\n\r\nconst bobUndtAlice = await Promise.all([bob, alice]);\r\n\r\nawait delay(100);\r\n\r\n/**\r\n * New Requests will be batched in a another call since not within the first timeframe.\r\n */\r\nconst joe = users.fetch(3);\r\nconst margareth = users.fetch(4);\r\n\r\nconst joeUndtMargareth = await Promise.all([joe, margareth]);\r\n```\r\n\r\n## React(query) Example\r\n\r\nHere we are also creating a simple batcher that will batch all fetches made within a window of 10 ms into one request. Since all items are rendered in one go their individual fetches will be batched into one request.\r\n\r\n**Note: a batcher for a group of items should only be created once. So creating them inside hooks wont work as intended.**\r\n\r\n```ts\r\nimport { useQuery } from \"react-query\";\r\nimport { create, windowScheduler } from \"@yornaath/batshit\";\r\n\r\nconst users = create({\r\n fetcher: async (ids: number[]) => {\r\n return client.users.where({\r\n userId_in: ids,\r\n });\r\n },\r\n resolver: keyResolver(\"id\"),\r\n scheduler: windowScheduler(10),\r\n});\r\n\r\nconst useUser = (id: number) => {\r\n return useQuery([\"users\", id], async () => {\r\n return users.fetch(id);\r\n });\r\n};\r\n\r\nconst UserDetails = (props: { userId: number }) => {\r\n const { isFetching, data } = useUser(props.userId);\r\n return (\r\n <>\r\n {isFetching ? (\r\n
Loading user {props.userId}
\r\n ) : (\r\n
User: {data.name}
\r\n )}\r\n \r\n );\r\n};\r\n\r\n/**\r\n * Since all user details items are rendered within the window there will only be one request made.\r\n */\r\nconst UserList = () => {\r\n const userIds = [1, 2, 3, 4];\r\n return (\r\n <>\r\n {userIds.map((id) => (\r\n \r\n ))}\r\n \r\n );\r\n};\r\n```\r\n\r\n### Limit batch size\r\n\r\nWe provide two helper functions for limiting the number of batched fetch calls.\r\n\r\n#### `windowedFiniteBatchScheduler`\r\n\r\nThis will batch all calls made within a certain time frame UP to a certain max batch size before it starts a new batch\r\n\r\n```ts\r\nconst batcher = batshit.create({\r\n ...,\r\n scheduler: windowedFiniteBatchScheduler({\r\n windowMs: 10,\r\n maxBatchSize: 100,\r\n }),\r\n});\r\n```\r\n\r\n#### `maxBatchSizeScheduler`\r\n\r\nSame as the one above, but will only wait indefinetly until the batch size is met.\r\n\r\n```ts\r\nconst batcher = batshit.create({\r\n ...,\r\n scheduler: maxBatchSizeScheduler({\r\n maxBatchSize: 100,\r\n }),\r\n});\r\n```\r\n\r\n### Fetching where response is an object of items\r\n\r\nIn this example the response is an object/record with the id of the user as the key and the user object as the value.\r\n\r\n**Example:**\r\n```json\r\n{\r\n \"1\": {\"username\": \"bob\"},\r\n \"2\": {\"username\": \"alice\"}\r\n}\r\n```\r\n\r\n```ts\r\nimport * as batshit from \"@yornaath/batshit\";\r\n\r\nconst batcher = batshit.create({\r\n fetcher: async (ids: string[]) => {\r\n const users: Record = await fetchUserRecords(ids)\r\n return users\r\n },\r\n resolver: batshit.indexedResolver(),\r\n});\r\n```\r\n\r\n### Fetching with needed context\r\n\r\nIf the batch fetcher needs some context like an sdk or client to make its fetching you can use a memoizer to make sure that you reuse a batcher for the given context in the hook calls.\r\n\r\n```ts\r\nimport { useQuery } from \"@tanstack/react-query\";\r\nimport { memoize } from \"lodash-es\";\r\nimport * as batshit from \"@yornaath/batshit\";\r\n\r\nexport const key = \"markets\";\r\n\r\nconst batcher = memoize((sdk: Sdk) => {\r\n return batshit.create({\r\n name: key,\r\n fetcher: async (ids: number[]) => {\r\n const { markets } = await sdk.markets({\r\n where: {\r\n marketId_in: ids,\r\n },\r\n });\r\n return markets;\r\n },\r\n scheduler: batshit.windowScheduler(10),\r\n resolver: batshit.keyResolver(\"marketId\"),\r\n });\r\n});\r\n\r\nexport const useMarket = (marketId: number) => {\r\n const [sdk, id] = useSdk();\r\n\r\n const query = useQuery(\r\n [id, key, marketId],\r\n async () => {\r\n if(sdk) {\r\n return batcher(sdk).fetch(marketId);\r\n }\r\n },\r\n {\r\n enabled: Boolean(sdk),\r\n },\r\n );\r\n\r\n return query;\r\n};\r\n```\r\n\r\n# Custom Batch Resolver\r\n\r\nThis batcher will fetch all posts for multiple users in one request and resolve the correct list of posts for the discrete queries.\r\n\r\n```ts\r\nconst userposts = create({\r\n fetcher: async (queries: { authorId: number }) => {\r\n return api.posts.where({\r\n authorId_in: queries.map((q) => q.authorId),\r\n });\r\n },\r\n scheduler: windowScheduler(10),\r\n resolver: (posts, query) =>\r\n posts.filter((post) => post.authorId === query.authorId),\r\n});\r\n\r\nconst [alicesPosts, bobsPost] = await Promise.all([\r\n userposts.fetch({authorId: 1})\r\n userposts.fetch({authorId: 2})\r\n]);\r\n```\r\n\r\n# batcher.next() - Early Execution\r\n\r\nCalling batcher.next() will execute the current batch early even if the scheduler hasnt finished.\r\n\r\n\r\n```ts\r\nconst batcher = create({\r\n fetcher: async (ids: number[]) => {\r\n return mock.usersByIds(ids);\r\n },\r\n resolver: keyResolver(\"id\"),\r\n scheduler: windowScheduler(33),\r\n});\r\n\r\nlet all = Promise.all([batcher.fetch(1), batcher.fetch(2), batcher.fetch(3), batcher.fetch(4)]);\r\n\r\nbacher.next()\r\n\r\nconst users = await all //current batch of users [1,2,3,4] will be fetched immediately\r\n```\r\n\r\n# Abort Signals - batcher.abort()\r\n\r\nYou can abort the current batch with `batcher.abort()`\r\n\r\nAbort signals are sent down to fetcher that can be passed down to the underlying implementation.\r\n\r\n```ts\r\ntest(\"aborting\", async () => {\r\n const batcher = create({\r\n fetcher: async (ids: number[], signal: AbortSignal) => {\r\n return fetch(`/users?ids=${ids.join(\",\")}`, { signal })\r\n },\r\n resolver: keyResolver(\"id\"),\r\n });\r\n\r\n let all = Promise.all([batcher.fetch(1), batcher.fetch(2), batcher.fetch(3), batcher.fetch(4)]);\r\n\r\n setTimeout(() => {\r\n batcher.abort();\r\n }, 5)\r\n \r\n const error = await all.catch((error) => error);\r\n\r\n expect(error).toBeInstanceOf(DOMException);\r\n expect(error.message).toBe(\"Aborted\");\r\n})\r\n```\r\n\r\n# Indexed Keyresolver Performance\r\n\r\nIf your batches are big arrays( > 30K items) and you use the keyresolver it can give you a performance boost to turn on indexing.\r\n\r\n__Any less than 30K items per batch and the performance gain is negligeble. But anywhere above 15K can be worth it.__\r\n\r\n```ts\r\nconst batcherIndexed = create({\r\n fetcher: async (ids: number[]) => {\r\n // returns > 30K items[]\r\n return mock.bigUserById(ids);\r\n },\r\n resolver: keyResolver(\"id\", { indexed: true }),\r\n scheduler: windowScheduler(1000),\r\n});\r\n```\r\n\r\n# React Devtools\r\n\r\nTools to debug and inspect the batching process can be found in the [@yornaath/batshit-devtools-react](https://www.npmjs.com/package/@yornaath/batshit-devtools-react) package.\r\n\r\n```bash\r\nyarn add @yornaath/batshit-devtools @yornaath/batshit-devtools-react\r\n```\r\n\r\n```ts\r\nimport { create, keyResolver, windowScheduler } from \"@yornaath/batshit\";\r\nimport BatshitDevtools from \"@yornaath/batshit-devtools-react\";\r\n\r\nconst batcher = create({\r\n fetcher: async (queries: number[]) => {...},\r\n scheduler: windowScheduler(10),\r\n resolver: keyResolver(\"id\"),\r\n name: \"batcher:data\" // used in the devtools to identify a particular batcher.\r\n});\r\n\r\nconst App = () => {\r\n
\r\n \r\n
\r\n}\r\n```\r\n","readmeFilename":"README.md"}