[Master] - Revamp FaaS BBEs

examples/aws-lambda-dynamodb-trigger/aws-lambda-dynamodb-trigger.bal

@@ -0,0 +1,9 @@
+import ballerina/io;
+import ballerinax/aws.lambda;
+
+@lambda:Function
+public function dynamoDBTrigger(lambda:Context ctx,
+        lambda:DynamoDBEvent event) returns json {
+    io:println(event.Records[0].dynamodb.Keys.toString());
+    return event.Records[0].dynamodb.Keys.toString();
+}

examples/aws-lambda-dynamodb-trigger/aws-lambda-dynamodb-trigger.md

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+# AWS Lambda - DynamoDB trigger
+
+This example creates a function, which will be executed for each entry added to a database in the [DynamoDB](https://aws.amazon.com/dynamodb/).
+
+For more information, see the [AWS Lambda learn guide](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/).
+
+## Set up the prerequisites
+
+For instructions, see [Set up the prerequisites](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/#set-up-the-prerequisites).
+
+## Write the function
+
+Follow the steps below to write the function.
+
+1. Execute the command below to create a new Ballerina package.
+
+::: out bal_new.out :::
+
+2. Replace the content of the generated Ballerina file with the content below.
+
+::: code aws-lambda-dynamodb-trigger.bal :::
+
+## Build the function 
+
+Execute the command below to generate the AWS Lambda artifacts.
+
+::: out bal_build.out :::
+
+## Deploy the function
+
+Execute the AWS CLI command given by the compiler to create and publish the functions by replacing the respective AWS `$LAMBDA_ROLE_ARN`, `$REGION_ID`, and `$FUNCTION_NAME` values given in the command with your values.
+
+::: out aws_deploy.out :::
+
+## Invoke the function
+
+Follow the instructions below to create a DynamoDB table for invoking this function.
+
+1. In the IAM Console, click the corresponding role in the list, and click **Add permissions**.
+2. Select **attach policies** from the drop-down menu, and add the **AWSLambdaDynamoDBExecutionRole** to the role.
+3. Go to [DynamoDB](https://console.aws.amazon.com/dynamodbv2), and from the drop-down menu at the top RHS of the screen, select the **AWS region** in which you created the user and role.
+4. Click **Create Table**, enter a table name and a partition key, and create the table (if you already have a table created, you can skip this step).
+5. Click on the DynamoDB table you created, and then click the **Exports and streams** tab.
+6. Click **Turn on** under **DynamoDB stream details**, select **Key attributes only** for the event type, and click **Turn on stream**.
+8. Under the **Trigger** section, click **Create trigger**, select the `dynamoDBTrigger` from the drop-down, and click **Create trigger**.
+9. Click **Explore table items**, and click **Create items** under the **Items returned** section.
+10. Enter a value under the **Attributes** section to add an entry to the DynamoDB table to invoke the Lambda function, and click **Create item**.
+11. Click the **Monitor** tab of the Lambda function in the AWS Management Console, and click **View CloudWatch logs** to check the logs via CloudWatch.
+11. Under **Log streams** in CloudWatch, click on the topmost stream in the list and verify the object name in the logs.
+12. Go to the AWS Lambda function and check the logs via CloudWatch to see the object identifier in the logs.

examples/aws-lambda-dynamodb-trigger/aws-lambda-dynamodb-trigger.metatags

@@ -0,0 +1,2 @@
+description: This example creates a function, which will be executed for each entry added to a database in the DynamoDB.
+keywords:  ballerina, ballerina by example, aws lambda, dynamodb, serverless, cloud, function as a service

examples/aws-lambda-dynamodb-trigger/aws_deploy.out

@@ -0,0 +1 @@
+$ aws lambda create-function --function-name dynamoDBTrigger --zip-file fileb://aws-ballerina-lambda-functions.zip --handler aws-lambda-dynamodb-trigger.dynamoDBTrigger --runtime provided --role arn:aws:iam::908363916111:role/lambda-role--layers arn:aws:lambda:us-west-1:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10

examples/aws-lambda-dynamodb-trigger/bal_build.out

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+$ bal build
+Compiling source
+        wso2/aws_lambda_dynamodb_trigger:0.1.0
+
+Generating executable
+        @awslambda:Function: dynamoDBTrigger
+
+        Run the following command to deploy each Ballerina AWS Lambda function:
+        aws lambda create-function --function-name $FUNCTION_NAME --zip-file fileb://<project-dir>/aws-lambda-s3-trigger/target/bin/aws-ballerina-lambda-functions.zip --handler aws-lambda-dynamodb-trigger.$FUNCTION_NAME --runtime provided --role $LAMBDA_ROLE_ARN --layers arn:aws:lambda:$REGION_ID:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10
+
+        Run the following command to re-deploy an updated Ballerina AWS Lambda function:
+        aws lambda update-function-code --function-name $FUNCTION_NAME --zip-file fileb://aws-ballerina-lambda-functions.zip

examples/aws-lambda-dynamodb-trigger/bal_new.out

@@ -0,0 +1,2 @@
+$ bal new aws_lambda_dynamodb_trigger
+Created new package 'aws_lambda_dynamodb_trigger' at /Users/wso2/aws_lambda_dynamodb_trigger.

examples/aws-lambda-execution-context/aws-lambda-execution-context.bal

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+import ballerinax/aws.lambda;
+
+// The `lambda:Context` object contains request execution context information.
+@lambda:Function
+public function ctxinfo(lambda:Context ctx, json input) returns json|error {
+    return {
+        RequestID: ctx.getRequestId(),
+        DeadlineMS: ctx.getDeadlineMs(),
+        InvokedFunctionArn: ctx.getInvokedFunctionArn(),
+        TraceID: ctx.getTraceId(),
+        RemainingExecTime: ctx.getRemainingExecutionTime()
+    };
+}

examples/aws-lambda-execution-context/aws-lambda-execution-context.md

@@ -0,0 +1,39 @@
+# AWS Lambda - Execution context
+
+The example below demonstrates how the execution context information of an AWS function can be retrieved.
+
+For more information, see the [AWS Lambda learn guide](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/).
+
+## Set up the prerequisites
+
+For instructions, see [Set up the prerequisites](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/#set-up-the-prerequisites).
+
+## Write the function
+
+Follow the steps below to write the function.
+
+1. Execute the command below to create a new Ballerina package.
+
+::: out bal_new.out :::
+
+2. Replace the content of the generated Ballerina file with the content below.
+
+::: code aws-lambda-execution-context.bal :::
+
+## Build the function
+
+Execute the command below to generate the AWS Lambda artifacts.
+
+::: out bal_build.out :::
+
+## Deploy the function
+
+Execute the AWS CLI command given by the compiler to create and publish the functions by replacing the respective AWS `$LAMBDA_ROLE_ARN`, `$REGION_ID`, and `$FUNCTION_NAME` values given in the command with your values. 
+
+::: out aws_deploy.out :::
+
+## Invoke the function
+
+Execute the commands below to invoke the function.
+
+::: out invoke_functions.out :::

examples/aws-lambda-execution-context/aws-lambda-execution-context.metatags

@@ -0,0 +1,2 @@
+description: The example below demonstrates how the execution context information of an AWS function can be retrieved.
+keywords:  ballerina, ballerina by example, aws lambda, execution context, serverless, cloud, function as a service

examples/aws-lambda-execution-context/aws_deploy.out

@@ -0,0 +1 @@
+$ aws lambda create-function --function-name ctxinfo --zip-file fileb://aws-ballerina-lambda-functions.zip --handler aws-lambda-execution-context.ctxinfo --runtime provided --role arn:aws:iam::908363916111:role/lambda-role --layers arn:aws:lambda:us-west-1:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10

examples/aws-lambda-execution-context/bal_build.out

@@ -0,0 +1,12 @@
+$ bal build
+Compiling source
+        wso2/aws_lambda_execution_context:0.1.0
+
+Generating executable
+        @awslambda:Function: ctxinfo
+
+        Run the following command to deploy each Ballerina AWS Lambda function:
+        aws lambda create-function --function-name $FUNCTION_NAME --zip-file fileb://<project-dir>/aws-lambda-execution-context/target/bin/aws-ballerina-lambda-functions.zip --handler aws_lambda_deployment.$FUNCTION_NAME --runtime provided --role $LAMBDA_ROLE_ARN --layers arn:aws:lambda:$REGION_ID:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10
+
+        Run the following command to re-deploy an updated Ballerina AWS Lambda function:
+        aws lambda update-function-code --function-name $FUNCTION_NAME --zip-file fileb://aws-ballerina-lambda-functions.zip

examples/aws-lambda-execution-context/bal_new.out

@@ -0,0 +1,2 @@
+$ bal new aws_lambda_execution_context
+Created new package 'aws_lambda_execution_context' at /Users/wso2/aws_lambda_execution_context.

examples/aws-lambda-deployment/invoke_functions.out → examples/aws-lambda-execution-context/invoke_functions.out

@@ -1,12 +1,4 @@
 $ echo '{"MESSAGE":"HELLO"}' > input.json
-$ aws lambda invoke --function-name echo --payload fileb://input.json echo-response.txt
-{
-"ExecutedVersion": "$LATEST",
-"StatusCode": 200
-}
-$ cat echo-response.txt
-{"MESSAGE":"HELLO"}
-
 $ aws lambda invoke --function-name ctxinfo ctxinfo-response.txt
 {
 "ExecutedVersion": "$LATEST",

examples/aws-lambda-hello-world/aws-lambda-hello-world.bal

@@ -0,0 +1,9 @@
+import ballerina/io;
+import ballerinax/aws.lambda;
+
+// The `@lambda:Function` annotation marks a function to generate an AWS Lambda function.
+@lambda:Function
+public function echo(lambda:Context ctx, json input) returns json {
+    io:println(input.toJsonString());
+    return input;
+}

examples/aws-lambda-hello-world/aws-lambda-hello-world.md

@@ -0,0 +1,39 @@
+# AWS Lambda - Hello world
+
+This example demonstrates how to write a simple echo function in AWS Lambda.
+
+For more information, see the [AWS Lambda learn guide](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/).
+
+## Set up the prerequisites
+
+For instructions, see [Set up the prerequisites](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/#set-up-the-prerequisites).
+
+## Write the function
+
+Follow the steps below to write the function.
+
+1. Execute the command below to create a new Ballerina package.
+
+::: out bal_new.out :::
+
+2. Replace the content of the generated Ballerina file with the content below.
+
+::: code aws-lambda-hello-world.bal :::
+
+## Build the function
+
+Execute the command below to generate the AWS Lambda artifacts.
+
+::: out bal_build.out :::
+
+## Deploy the function
+
+Execute the AWS CLI command given by the compiler to create and publish the functions by replacing the respective AWS `$LAMBDA_ROLE_ARN`, `$REGION_ID`, and `$FUNCTION_NAME` values given in the command with your values.
+
+::: out aws_deploy.out :::
+
+## Invoke the function
+
+Execute the commands below to invoke the function.
+
+::: out invoke_functions.out :::

examples/aws-lambda-hello-world/aws-lambda-hello-world.metatags

@@ -0,0 +1,2 @@
+description: This example demonstrates how to write a simple echo function in AWS Lambda.
+keywords:  ballerina, ballerina by example, serverless, aws lambda, cloud, function as a service

examples/aws-lambda-hello-world/aws_deploy.out

@@ -0,0 +1 @@
+$ aws lambda create-function --function-name echo --zip-file fileb://aws-ballerina-lambda-functions.zip --handler aws-lambda-hello-world.echo --runtime provided --role arn:aws:iam::908363916111:role/lambda-role--layers arn:aws:lambda:us-west-1:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10

examples/aws-lambda-hello-world/bal_build.out

@@ -0,0 +1,12 @@
+$ bal build
+Compiling source
+        wso2/aws_lambda_hello_world:0.1.0
+
+Generating executable
+        @awslambda:Function: echo
+
+        Run the following command to deploy each Ballerina AWS Lambda function:
+        aws lambda create-function --function-name $FUNCTION_NAME --zip-file fileb://<project-dir>/aws-lambda-hello-world/target/bin/aws-ballerina-lambda-functions.zip --handler aws-lambda-hello-world.$FUNCTION_NAME --runtime provided --role $LAMBDA_ROLE_ARN --layers arn:aws:lambda:$REGION_ID:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10
+
+        Run the following command to re-deploy an updated Ballerina AWS Lambda function:
+        aws lambda update-function-code --function-name $FUNCTION_NAME --zip-file fileb://aws-ballerina-lambda-functions.zip

examples/aws-lambda-hello-world/bal_new.out

@@ -0,0 +1,2 @@
+$ bal new aws_lambda_hello_world
+Created new package 'aws_lambda_hello_world' at /Users/wso2/aws_lambda_hello_world.

examples/aws-lambda-hello-world/invoke_functions.out

@@ -0,0 +1,8 @@
+$ echo '{"MESSAGE":"HELLO"}' > input.json
+$ aws lambda invoke --function-name echo --payload fileb://input.json echo-response.txt
+{
+"ExecutedVersion": "$LATEST",
+"StatusCode": 200
+}
+$ cat echo-response.txt
+{"MESSAGE":"HELLO"}

examples/aws-lambda-s3-trigger/aws-lambda-s3-trigger.bal

@@ -0,0 +1,9 @@
+import ballerina/io;
+import ballerinax/aws.lambda;
+
+@lambda:Function
+public function s3Trigger(lambda:Context ctx,
+        lambda:S3Event event) returns json {
+    io:println(event.Records[0].s3.'object.key);
+    return event.Records[0].s3.'object.key;
+}

examples/aws-lambda-s3-trigger/aws-lambda-s3-trigger.md

@@ -0,0 +1,50 @@
+# AWS Lambda - S3 trigger
+
+This example creates a function, which will be executed for each object creation in AWS S3.
+
+For more information, see the [AWS Lambda learn guide](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/).
+
+## Set up the prerequisites
+
+For instructions, see [Set up the prerequisites](https://ballerina.io/learn/run-in-the-cloud/function-as-a-service/aws-lambda/#set-up-the-prerequisites).
+
+## Write the function
+
+Follow the steps below to write the function.
+
+1. Execute the command below to create a new Ballerina package.
+
+::: out bal_new.out :::
+
+2. Replace the content of the generated Ballerina file with the content below.
+
+::: code aws-lambda-s3-trigger.bal :::
+
+## Build the function
+
+Execute the command below to generate the AWS Lambda artifacts.
+
+::: out bal_build.out :::
+
+## Deploy the function
+
+Execute the AWS CLI command given by the compiler to create and publish the functions by replacing the respective AWS `$LAMBDA_ROLE_ARN`, `$REGION_ID`, and `$FUNCTION_NAME` values given in the command with your values.
+
+::: out aws_deploy.out :::
+
+## Invoke the function
+
+Follow the instructions below to create an S3 bucket in AWS for invoking this function.
+
+1. Go to the [AWS S3](https://s3.console.aws.amazon.com/s3/) portal and create a bucket.
+   >**Note:** Make sure to select the same **AWS region** in which you created the AWS user and role when creating the S3 bucket.
+2. Click on the created bucket, go to the **Properties** tab, and click **Create event notification** under the **Event notifications** section.
+3. Enable **All object create events** under event types. 
+4. Under the **Destination** section, select the AWS Lambda function (i.e., `s3Trigger` in this example) from the dropdown.
+5. Select the created bucket under the **Buckets** list, click **Upload**, and upload an object to the S3 bucket.
+6. Under the **Functions** list of the AWS Management Console, click the AWS Lambda function, and click the **Monitor** tab.
+7. If you get a **Missing permissions** notice at the top, click the **Open the IAM Console** in it.
+8. In the IAM Console, click the corresponding role in the list, and click **Add permissions**.
+9. Select **attach policies** from the drop-down menu, and add the **AWSLambdaBasicExecutionRole** to the role.
+10. Click the **Monitor** tab of the Lambda function in the AWS Management Console, and click **View CloudWatch logs** to check the logs via CloudWatch.
+11. Under **Log streams** in CloudWatch, click on the topmost stream in the list and verify the object name in the logs.

examples/aws-lambda-s3-trigger/aws-lambda-s3-trigger.metatags

@@ -0,0 +1,2 @@
+description: This example creates a function, which will be executed for each object creation in AWS S3.
+keywords:  ballerina, ballerina by example, aws lambda, s3, trigger, serverless, cloud, function as a service

examples/aws-lambda-s3-trigger/aws_deploy.out

@@ -0,0 +1 @@
+$ aws lambda create-function --function-name s3Trigger --zip-file fileb://aws-ballerina-lambda-functions.zip --handler aws-lambda-s3-trigger.s3Trigger --runtime provided --role arn:aws:iam::908363916111:role/lambda-role--layers arn:aws:lambda:us-west-1:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10

examples/aws-lambda-deployment/bal_build.out → examples/aws-lambda-s3-trigger/bal_build.out

@@ -1,12 +1,12 @@
 $ bal build
 Compiling source
-        wso2/aws_lambda_deployment:0.1.0
+        wso2/aws_lambda_s3_trigger:0.1.0
 
 Generating executable
-        @awslambda:Function: echo, ctxinfo, notifyS3
+        @awslambda:Function: s3Trigger
 
         Run the following command to deploy each Ballerina AWS Lambda function:
-        aws lambda create-function --function-name $FUNCTION_NAME --zip-file fileb://<project-dir>/aws_lambda_deployment/target/bin/aws-ballerina-lambda-functions.zip --handler aws_lambda_deployment.$FUNCTION_NAME --runtime provided --role $LAMBDA_ROLE_ARN --layers arn:aws:lambda:$REGION_ID:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10
+        aws lambda create-function --function-name $FUNCTION_NAME --zip-file fileb://<project-dir>/aws-lambda-s3-trigger/target/bin/aws-ballerina-lambda-functions.zip --handler aws-lambda-s3-trigger.$FUNCTION_NAME --runtime provided --role $LAMBDA_ROLE_ARN --layers arn:aws:lambda:$REGION_ID:134633749276:layer:ballerina-jre11:6 --memory-size 512 --timeout 10
 
         Run the following command to re-deploy an updated Ballerina AWS Lambda function:
         aws lambda update-function-code --function-name $FUNCTION_NAME --zip-file fileb://aws-ballerina-lambda-functions.zip

examples/aws-lambda-s3-trigger/bal_new.out

@@ -0,0 +1,2 @@
+$ bal new aws_lambda_s3_trigger
+Created new package 'aws_lambda_s3_trigger' at /Users/wso2/aws_lambda_s3_trigger.