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Step Functions 中間件:自動儲存和載入來自 Amazon S3 的有效負載

王林
王林原創
2024-08-21 06:18:36818瀏覽

我想介紹一下 middy-store,這是我在過去幾個月建立的一個新函式庫。我思考這個想法已經有一段時間了,回到一年多前我提出的這個功能請求。 middy-store 是 Middy 的中間件,可自動在 Amazon S3 等 Store 或其他潛在服務中儲存和載入有效負載。

動機

AWS 服務有一定的限制,必須注意。例如,AWS Lambda 對於同步呼叫的負載限制為 6MB,對於非同步呼叫的負載限制為 256KB。 AWS Step Functions 允許最大輸入或輸出大小為 256KB 的 UTF-8 編碼字串資料。如果返回資料時超過此限制,您將遇到臭名昭著的 States.DataLimitExceeded 異常。

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3

解決此限制的常見方法是檢查有效負載的大小並將其暫時保存在持久性儲存(例如 Amazon S3)中。然後,您傳回 S3 的物件 URL 或 ARN。下一個 Lambda 檢查輸入中是否存在 URL 或 ARN,並從 S3 載入有效負載。可以想像,這會產生大量樣板程式碼來儲存 Amazon S3 和從 Amazon S3 載入負載,而這些程式碼必須在每個 Lambda 中重複。

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3

當您只想將部分有效負載保存到 S3 並保留其餘部分時,這會變得更加麻煩。例如,在使用 Step Functions 時,有效負載可能包含必須直接存取的 Choice 或 Map 等狀態的控制流資料。這表示第一個 Lambda 將部分有效負載儲存到 S3,下一個 Lambda 必須從 S3 載入部分有效負載並將其與其餘有效負載合併。這需要確保多個函數之間的類型一致,這當然很容易出錯。

它是如何運作的

middy-store是Middy的中間件。它附加到 Lambda 函數,並在 Lambda 呼叫期間被呼叫兩次:在 Lambda handler() 運行之前運行之後。它在處理程序運行之前接收輸入,並在處理程序完成後接收來自處理程序的輸出。

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3

讓我們從成功呼叫後的輸出開始,以便於理解:middy-store 從 handler() 函數接收輸出(有效負載)並檢查大小。為了計算大小,它會將有效負載(如果它是物件)字串化,並使用 Buffer.byteLength() 計算 UTF-8 編碼的字串大小。如果大小大於某個可配置閾值,則有效負載將儲存在 Amazon S3 等儲存中。然後,對儲存​​的有效負載(例如 S3 URL 或 ARN)的引用將作為輸出而不是原始輸出傳回。

現在讓我們看看下一個 Lambda 函數(例如在狀態機中),它將接收此輸出作為其輸入。這次我們在呼叫 handler() 之前先查看輸入 :middy-store 接收處理程序的輸入並蒐索對儲存的有效負載的參考。如果找到,則從 Store 載入有效負載並作為處理程序的輸入返回。處理程序使用有效負載,就像直接傳遞給它一樣。

這裡有一個例子來說明 middy-store 的工作原理:

/* ./src/functions/handler1.ts */
export const handler1 = middy()
  .use(
    middyStore({
      stores: [new S3Store({ /* S3 options */ })],
    })
  )
  .handler(async (input) => {
    // Return 1MB of random data as a base64 encoded string as output 
    return randomBytes(1024 * 1024).toString('base64');
  });

/* ./src/functions/handler2.ts */
export const handler2 = middy()
  .use(
    middyStore({
      stores: [new S3Store({ /* S3 options */ })],
    })
  )
  .handler(async (input) => {
    // Print the size of the input
    return console.log(`Size: ${Buffer.from(input, "base64").byteLength / 1024 / 1024} MB`);
  });

/* ./src/workflow.ts */
// First Lambda returns a large output
// It automatically uploads the data to S3 
const output1 = await handler1({});

// Output is a reference to the S3 object: { "@middy-store": "s3://bucket/key"}
console.log(output1); 

// Second Lambda receives the output as input
// It automatically downloads the data from S3
const output2 = await handler2(output1);

什麼是商店?

一般來說,Store 是允許您儲存和載入任意負載的任何服務,例如 Amazon S3 或其他持久性儲存系統。 DynamoDB 等資料庫也可以充當儲存。 Store 從 Lambda 處理程序接收有效負載,將其序列化(如果它是物件),並將其儲存在持久性儲存中。當下一個 Lambda 處理程序需要有效負載時,Store 從儲存中載入有效負載,反序列化並傳回它。

middle-store 透過 StoreInterface 介面與 Store 進行交互,每個 Store 都必須實作該介面。此介面定義了函數 canStore() 和 store() 來儲存有效負載,以及 canLoad() 和 load() 來載入有效負載。

interface StoreInterface<TPayload = unknown, TReference = unknown> {
  name: string;
  canLoad: (args: LoadArgs<unknown>) => boolean;
  load: (args: LoadArgs<TReference | unknown>) => Promise<TPayload>;
  canStore: (args: StoreArgs<TPayload>) => boolean;
  store: (args: StoreArgs<TPayload>) => Promise<TReference>;
}
  • canStore() 作為一個守衛來檢查 Store 是否可以儲存給定的有效負載。它接收有效負載及其位元組大小,並檢查有效負載是否符合儲存的最大大小限制。例如,DynamoDB 支援的儲存的最大項目大小為 400KB,而 S3 儲存實際上對其可以儲存的有效負載大小沒有限制。

  • store() receives a payload and stores it in its underlying storage system. It returns a reference to the payload, which is a unique identifier to identify the stored payload within the underlying service. For example, the Amazon S3 Store uses an S3 URI in the format s3:/// as a reference, while other Amazon services might use ARNs.

  • canLoad() acts like a filter to check if the Store can load a certain reference. It receives the reference to a stored payload and checks if it's a valid identifier for the underlying storage system. For example, the Amazon S3 Store checks if the reference is a valid S3 URI, while a DynamoDB Store would check if it's a valid ARN.

  • load() receives the reference to a stored payload and loads the payload from storage. Depending on the Store, the payload will be deserialized into its original type according to the metadata that was stored alongside it. For example, a payload of type application/json will get parsed back into a JSON object, while a plain string of type text/plain will remain unaltered.

Single and Multiple Stores

Most of the time, you will only need one Store, like Amazon S3, which can effectively store any payload. However, middy-store lets you work with multiple Stores at the same time. This can be useful if you want to store different types of payloads in different Stores. For example, you might want to store large payloads in S3 and small payloads in DynamoDB.

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3

middy-store accepts an Array in the options to provide one or more Stores. When middy-store runs before the handler and finds a reference in the input, it will iterate over the Stores and call canLoad() with the reference for each Store. The first Store that returns true will be used to load the payload with load().

On the other hand, when middy-store runs after the handler and the output is larger than the maximum allowed size, it will iterate over the Stores and call canStore() for each Store. The first Store that returns true will be used to store the payload with store().

Therefore, it is important to note that the order of the Stores in the array is important.

References

When a payload is stored in a Store, middy-store will return a reference to the stored payload. The reference is a unique identifier to find the stored payload in the Store. The value of the identifier depends on the Store and its configuration. For example, the Amazon S3 Store will use an S3 URI by default. However, it can also be configured to return other formats like an ARN arn:aws:s3:::/, an HTTP endpoint https://.s3.us-west-1.amazonaws.com/, or a structured object with the bucket and key.

The output from the handler after middy-store will contain the reference to the stored payload:

/* Output with reference */
{
  "@middy-store": "s3://bucket/key"
}

middy-store embeds the reference from the Store in the output as an object with a key "@middy-store". This allows middy-store to quickly find all references when the next Lambda function is called and load the payloads from the Store before the handler runs. In case you are wondering, middy-store recursively iterates through the input object and searches for the "@middy-store" key. That means the input can contain multiple references, even from different Stores, and middy-store will find and load them.

Selecting a Payload

By default, middy-store will store the entire output of the handler as a payload in the Store. However, you can also select only a part of the output to be stored. This is useful for workflows like AWS Step Functions, where you might need some of the data for control flow, e.g., a Choice state.

middy-store accepts a selector in its storingOptions config. The selector is a string path to the relevant value in the output that should be stored.

Here's an example:

const output = {
  a: {
    b: ['foo', 'bar', 'baz'],
  },
};

export const handler = middy()
  .use(
    middyStore({
      stores: [new S3Store({ /* S3 options */ })],
      storingOptions: {
        selector: '',          /* select the entire output as payload */
        // selector: 'a';      /* selects the payload at the path 'a' */
        // selector: 'a.b';    /* selects the payload at the path 'a.b' */
        // selector: 'a.b[0]'; /* selects the payload at the path 'a.b[0]' */
        // selector: 'a.b[*]'; /* selects the payloads at the paths 'a.b[0]', 'a.b[1]', 'a.b[2]', etc. */
      }
    })
  )
  .handler(async () => output);

await handler({});

The default selector is an empty string (or undefined), which selects the entire output as a payload. In this case, middy-store will return an object with only one property, which is the reference to the stored payload.

/* selector: '' */
{
  "@middy-store": "s3://bucket/key"
}

The selectors a, a.b, or a.b[0] select the value at the path and store only this part in the Store. The reference to the stored payload will be inserted at the path in the output, thereby replacing the original value.

/* selector: 'a' */
{
  a: {
    "@middy-store": "s3://bucket/key"
  }
}
/* selector: 'a.b' */
{
  a: {
    b: {
      "@middy-store": "s3://bucket/key"
    }
  }
}
/* selector: 'a.b[0]' */
{
  a: {
    b: [
      { "@middy-store": "s3://bucket/key" }, 
      'bar', 
      'baz'
    ]
  }
}

A selector ending with [*] like a.b[*] acts like an iterator. It will select the array at a.b and store each element in the array in the Store separately. Each element will be replaced with the reference to the stored payload.

/* selector: 'a.b[*]' */
{
  a: {
    b: [
      { "@middy-store": "s3://bucket/key" }, 
      { "@middy-store": "s3://bucket/key" }, 
      { "@middy-store": "s3://bucket/key" }
    ]
  }
}

Size Limit

middy-store will calculate the size of the entire output returned from the handler. The size is calculated by stringifying the output, if it's not already a string, and calculating the UTF-8 encoded size of the string in bytes. It will then compare this size to the configured minSize in the storingOptions config. If the output size is equal to or greater than the minSize, it will store the output or a part of it in the Store.

export const handler = middy()
  .use(
    middyStore({
      stores: [new S3Store({ /* S3 options */ })],
      storingOptions: {
        minSize: Sizes.STEP_FUNCTIONS,  /* 256KB */
        // minSize: Sizes.LAMBDA_SYNC,  /* 6MB */
        // minSize: Sizes.LAMBDA_ASYNC, /* 256KB */
        // minSize: 1024 * 1024,        /* 1MB */
        // minSize: Sizes.ZERO,         /* 0 */
        // minSize: Sizes.INFINITY,     /* Infinity */
        // minSize: Sizes.kb(512),      /* 512KB */
        // minSize: Sizes.mb(1),        /* 1MB */
      }
    })
  )
  .handler(async () => output);

await handler({});

middy-store provides a Sizes helper with some predefined limits for Lambda and Step Functions. If minSize is not specified, it will use Sizes.STEP_FUNCTIONS with 256KB as the default minimum size. The Sizes.ZERO (equal to the number 0) means that middy-store will always store the payload in a Store, ignoring the actual output size. On the other hand, Sizes.INFINITY (equal to Math.POSITIVE_INFINITY) means that it will never store the payload in a Store.

Stores

Currently, there is only one Store implementation for Amazon S3, but I'm planning to implement a Store backed by DynamoDB and DAX. DynamoDB, with its Time-To-Live (TTL) feature, provides a great option for short-term payloads that only need to exist during the execution of a workflow like Step Functions.

Amazon S3

The middy-store-s3 package provides a store implementation for Amazon S3. It uses the official @aws-sdk/client-s3 package to interact with S3.

import { middyStore } from 'middy-store';
import { S3Store } from 'middy-store-s3';

const handler = middy()
  .use(
    middyStore({
      stores: [
        new S3Store({
          config: { region: "us-east-1" },
          bucket: "bucket",
          key: () => randomUUID(),
          format: "arn",
        }),
      ],
    }),
  )
  .handler(async (input) => {
    return { /* ... */ };
  });

The S3Store only requires a bucket where the payloads are being stored. The key is optional and defaults to randomUUID(). The format configures the style of the reference that is returned after a payload is stored. The supported formats include arn, object, or one of the URL formats from the amazon-s3-url package. It's important to note that S3Store can load any of these formats; the format config only concerns the returned reference. The config is the S3 client configuration and is optional. If not set, the S3 client will resolve the config (credentials, region, etc.) from the environment or file system.

Custom Store

A new Store can be implemented as a class or a plain object, as long as it provides the required functions from the StoreInterface interface.

Here's an example of a Store to store and load payloads as base64 encoded data URLs:

import { StoreInterface, middyStore } from 'middy-store';

const base64Store: StoreInterface<string, string> = {
  name: "base64",
  /* Reference must be a string starting with "data:text/plain;base64," */
  canLoad: ({ reference }) => {
    return (
      typeof reference === "string" &&
      reference.startsWith("data:text/plain;base64,")
    );
  },
  /* Decode base64 string and parse into object */
  load: async ({ reference }) => {
    const base64 = reference.replace("data:text/plain;base64,", "");
    return Buffer.from(base64, "base64").toString();
  },
  /* Payload must be a string or an object */
  canStore: ({ payload }) => {
    return typeof payload === "string" || typeof payload === "object";
  },
  /* Stringify object and encode as base64 string */
  store: async ({ payload }) => {
    const base64 = Buffer.from(JSON.stringify(payload)).toString("base64");
    return `data:text/plain;base64,${base64}`;
  },
};

const handler = middy()
  .use(
    middyStore({
      stores: [base64Store],
      storingOptions: {
        minSize: Sizes.ZERO, /* Always store the data */ 
      }
    }),
  )
  .handler(async (input) => {
    /* Random text with 100 words */ 
    return `Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet.`;
  });

const output = await handler(null, context);

/* Prints: { '@middy-store': 'data:text/plain;base64,IkxvcmVtIGlwc3VtIGRvbG9yIHNpdC...' } */
console.log(output);

This example is the perfect way to try middy-store, because it doesn't rely on external resources like an S3 bucket. You will find it in the repository at examples/custom-store and should be able to run it locally.

Contributions and Feedback

I've been tinkering with the API design for a while, and it's definitely not stable yet. I would love to get feedback on the current state as well as suggestions for changes or improvements. If you are eager to contribute to this project, please go ahead and submit feature requests or pull requests.

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3 zirkelc / middy-store

Middleware for Step Functions: Automatically Store and Load Payloads

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3 Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3 Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3

Middleware middy-store

middy-store is a middleware for Lambda that automatically stores and loads payloads from and to a Store like Amazon S3 or potentially other services.

Installation

You will need @middy/core >= v5 to use middy-store Please be aware that the API is not stable yet and might change in the future. To avoid accidental breaking changes, please pin the version of middy-store and its sub-packages in your package.json to an exact version.

npm install --save-exact @middy/core middy-store middy-store-s3 
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Motivation

AWS services have certain limits that one must be aware of. For example, AWS Lambda has a payload limit of 6MB for synchronous invocations and 256KB for asynchronous invocations. AWS Step Functions allows for a maximum input or output size of 256KB of data as a UTF-8 encoded string. If you exceed this limit when returning data, you will encounter the infamous States.DataLimitExceeded exception.

Middleware for Step Functions: Automatically Store and Load Payloads from Amazon S3

The usual workaround for this…

View on GitHub

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