Amazon s3 将批量csv数据上载到现有DynamoDB表中
我正在尝试将数据从Amazon s3 将批量csv数据上载到现有DynamoDB表中,amazon-s3,aws-lambda,amazon-dynamodb,amazon-cloudformation,Amazon S3,Aws Lambda,Amazon Dynamodb,Amazon Cloudformation,我正在尝试将数据从csv文件迁移到现有的AWS DynamoDB表中，作为AWS Amplifyweb应用程序的一部分 我遵循了下面的模板 我只能创建一个新的DynamoDB表，但不能使用现有表并向其中添加数据 问题： 是否有方法修改模板，以便我可以在向导的“指定堆栈详细信息”步骤中的“DynamoDBTableName”下提供现有表名，以便将csv数据添加到表中？如果没有，是否有替代流程 { "AWSTemplateFormatVersion": "201
csvAWS DynamoDBAWS Amplify{
"AWSTemplateFormatVersion": "2010-09-09",
"Metadata": {
},
"Parameters" : {
"BucketName": {
"Description": "Name of the S3 bucket you will deploy the CSV file to",
"Type": "String",
"ConstraintDescription": "must be a valid bucket name."
},
"FileName": {
"Description": "Name of the S3 file (including suffix)",
"Type": "String",
"ConstraintDescription": "Valid S3 file name."
},
"DynamoDBTableName": {
"Description": "Name of the dynamoDB table you will use",
"Type": "String",
"ConstraintDescription": "must be a valid dynamoDB name."
}
},
"Resources": {
"DynamoDBTable":{
"Type": "AWS::DynamoDB::Table",
"Properties":{
"TableName": {"Ref" : "DynamoDBTableName"},
"BillingMode": "PAY_PER_REQUEST",
"AttributeDefinitions":[
{
"AttributeName": "id",
"AttributeType": "S"
}
],
"KeySchema":[
{
"AttributeName": "id",
"KeyType": "HASH"
}
],
"Tags":[
{
"Key": "Name",
"Value": {"Ref" : "DynamoDBTableName"}
}
]
}
},
"LambdaRole" : {
"Type" : "AWS::IAM::Role",
"Properties" : {
"AssumeRolePolicyDocument": {
"Version" : "2012-10-17",
"Statement" : [
{
"Effect" : "Allow",
"Principal" : {
"Service" : ["lambda.amazonaws.com","s3.amazonaws.com"]
},
"Action" : [
"sts:AssumeRole"
]
}
]
},
"Path" : "/",
"ManagedPolicyArns":["arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole","arn:aws:iam::aws:policy/AWSLambdaInvocation-DynamoDB","arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess"],
"Policies": [{
"PolicyName": "policyname",
"PolicyDocument": {
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Resource": "*",
"Action": [
"dynamodb:PutItem",
"dynamodb:BatchWriteItem"
]
}]
}
}]
}
},
"CsvToDDBLambdaFunction": {
"Type": "AWS::Lambda::Function",
"Properties": {
"Handler": "index.lambda_handler",
"Role": {
"Fn::GetAtt": [
"LambdaRole",
"Arn"
]
},
"Code": {
"ZipFile": {
"Fn::Join": [
"\n",
[
"import json",
"import boto3",
"import os",
"import csv",
"import codecs",
"import sys",
"",
"s3 = boto3.resource('s3')",
"dynamodb = boto3.resource('dynamodb')",
"",
"bucket = os.environ['bucket']",
"key = os.environ['key']",
"tableName = os.environ['table']",
"",
"def lambda_handler(event, context):",
"",
"",
" #get() does not store in memory",
" try:",
" obj = s3.Object(bucket, key).get()['Body']",
" except:",
" print(\"S3 Object could not be opened. Check environment variable. \")",
" try:",
" table = dynamodb.Table(tableName)",
" except:",
" print(\"Error loading DynamoDB table. Check if table was created correctly and environment variable.\")",
"",
" batch_size = 100",
" batch = []",
"",
" #DictReader is a generator; not stored in memory",
" for row in csv.DictReader(codecs.getreader('utf-8-sig')(obj)):",
" if len(batch) >= batch_size:",
" write_to_dynamo(batch)",
" batch.clear()",
"",
" batch.append(row)",
"",
" if batch:",
" write_to_dynamo(batch)",
"",
" return {",
" 'statusCode': 200,",
" 'body': json.dumps('Uploaded to DynamoDB Table')",
" }",
"",
"",
"def write_to_dynamo(rows):",
" try:",
" table = dynamodb.Table(tableName)",
" except:",
" print(\"Error loading DynamoDB table. Check if table was created correctly and environment variable.\")",
"",
" try:",
" with table.batch_writer() as batch:",
" for i in range(len(rows)):",
" batch.put_item(",
" Item=rows[i]",
" )",
" except:",
" print(\"Error executing batch_writer\")"
]
]
}
},
"Runtime": "python3.7",
"Timeout": 900,
"MemorySize": 3008,
"Environment" : {
"Variables" : {"bucket" : { "Ref" : "BucketName" }, "key" : { "Ref" : "FileName" },"table" : { "Ref" : "DynamoDBTableName" }}
}
}
},
"S3Bucket": {
"DependsOn" : ["CsvToDDBLambdaFunction","BucketPermission"],
"Type": "AWS::S3::Bucket",
"Properties": {
"BucketName": {"Ref" : "BucketName"},
"AccessControl": "BucketOwnerFullControl",
"NotificationConfiguration":{
"LambdaConfigurations":[
{
"Event":"s3:ObjectCreated:*",
"Function":{
"Fn::GetAtt": [
"CsvToDDBLambdaFunction",
"Arn"
]
}
}
]
}
}
},
"BucketPermission":{
"Type": "AWS::Lambda::Permission",
"Properties":{
"Action": "lambda:InvokeFunction",
"FunctionName":{"Ref" : "CsvToDDBLambdaFunction"},
"Principal": "s3.amazonaws.com",
"SourceAccount": {"Ref":"AWS::AccountId"}
}
}
},
"Outputs" : {
}
}
Dennis的答案是一个解决方案，但是您也可以注释掉JSON文件的
“Resources”“DynamoDBTable”DynamoDBTable