無伺服器 API

使用 AWS Kinesis 與 Lambda 的串流資料

Maksim Pecherskiy

Data Engineer

上一節課

開放資料存取

簡易 API

加入觸發條件

測試你的新 API

第一個 API

API 參數

範例請求

https://.../speederReporterApi?date=20200620

範例事件

{
  "queryStringParameters": {
    "date": "20200620"
  },
  "isBase64Encoded": false
}

Lambda 處理器

import json, boto3
import awswrangler as wr
import pandas as pd

session = boto3.Session(aws_access_key_id = AWS_KEY, 
                        aws_secret_access_key = AWS_SECRET, 
                        region_name="us-east-1")

Lambda 處理器

def lambda_handler(event, context):
    filter_date = event['queryStringParameters']['date']

    df = wr.s3.read_csv(
        f"s3://sd-vehicle-data/speeders_daily/{filter_date}.csv", 
        boto3_session=session, 
        delimiter=" ")

回傳資料

def lambda_handler(event, context):
    ...
    return {
        'statusCode': 200,
        'headers': {
            "content-type" : "application/json"
        },
        'body': df.to_json()
    }

即時回應

https://.../default/speederReporterApi?date=20200621

[
  {
      "record_id":"939ed1d1-1740-420c-8906-445278573c7f",
      "timestamp":"4:25:06.000",
      "vin":"4FTEX4944AK844294",
      "lon":106.9447146,
      "lat":-6.3385652,
      "speed":25
  },
  {
      "record_id":"f29a5b3d-d0fa-43c0-9e1a-e2a5cdb8be7a",
      ...
  },

  ...
]

觸發另一個 Lambda

def trigger_recalc():
  lambda_client = boto3.client("s3", 
                            aws_access_key_id = AWS_KEY, 
                            aws_secret_access_key = AWS_SECRET, 
                            region_name = 'us-east-1')

def lambda_handler(event, context):
  ...

speederAggregator 的 ARN

呼叫（Invoke）

def trigger_recalc():
  ...
  lambda_client.invoke(
    FunctionName='arn:aws:lambda:us-east-1:458913182630:function:speederAggregator',
    InvocationType='Event', # (or RequestResponse)
  )

重點回顧

一起來練習吧！

使用 AWS Kinesis 與 Lambda 的串流資料