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| id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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| 645030262 | https://github.com/simonw/datasette/issues/850#issuecomment-645030262 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTAzMDI2Mg== | simonw 9599 | 2020-06-16T21:51:01Z | 2020-06-16T21:51:39Z | OWNER | File locking is interesting here. https://docs.aws.amazon.com/lambda/latest/dg/services-efs.html > Amazon EFS supports [file locking](https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#consistency) to prevent corruption if multiple functions try to write to the same file system at the same time. Locking in Amazon EFS follows the NFS v4.1 protocol for advisory locking, and enables your applications to use both whole file and byte range locks. SQLite can apparently work on NFS v4.1. I think I'd rather set things up so there's only ever one writer - so a Datasette instance could scale reads by running lots more lambda functions but only one function ever writes to a file at a time. Not sure if that's feasible with Lambda though - maybe by adding some additional shared state mechanism like Redis? | {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645031225 | https://github.com/simonw/datasette/issues/850#issuecomment-645031225 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTAzMTIyNQ== | simonw 9599 | 2020-06-16T21:53:25Z | 2020-06-16T21:53:25Z | OWNER | Easier solution to this might be to have two functions - a "read-only" one which is allowed to scale as much as it likes, and a "write-only" one which can write to the database files but is limited to running a maximum of one Lambda instance. https://docs.aws.amazon.com/lambda/latest/dg/invocation-scaling.html | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645032643 | https://github.com/simonw/datasette/issues/850#issuecomment-645032643 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTAzMjY0Mw== | simonw 9599 | 2020-06-16T21:57:10Z | 2020-06-16T21:57:10Z | OWNER | https://docs.aws.amazon.com/efs/latest/ug/wt1-getting-started.html is an EFS walk-through using the AWS CLI tool instead of clicking around in their web interface. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645041663 | https://github.com/simonw/datasette/issues/850#issuecomment-645041663 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA0MTY2Mw== | simonw 9599 | 2020-06-16T22:21:44Z | 2020-06-16T22:21:44Z | OWNER | https://github.com/jordaneremieff/mangum looks like the best way to run an ASGI app on Lambda at the moment. ```python from mangum import Mangum async def app(scope, receive, send): await send( { "type": "http.response.start", "status": 200, "headers": [[b"content-type", b"text/plain; charset=utf-8"]], } ) await send({"type": "http.response.body", "body": b"Hello, world!"}) handler = Mangum(app) ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645042625 | https://github.com/simonw/datasette/issues/850#issuecomment-645042625 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA0MjYyNQ== | simonw 9599 | 2020-06-16T22:24:26Z | 2020-06-16T22:24:26Z | OWNER | From https://mangum.io/adapter/ > The AWS Lambda handler `event` and `context` arguments are made available to an ASGI application in the ASGI connection scope. > > ``` > scope['aws.event'] > scope['aws.context'] > ``` I can use https://github.com/simonw/datasette-debug-asgi to see that. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645045055 | https://github.com/simonw/datasette/issues/850#issuecomment-645045055 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA0NTA1NQ== | simonw 9599 | 2020-06-16T22:31:49Z | 2020-06-16T22:31:49Z | OWNER | It looks like SAM - AWS Serverless Application Model - is the currently recommended way to deploy Python apps to Lambda from the command-line: https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-getting-started-hello-world.html | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645047703 | https://github.com/simonw/datasette/issues/850#issuecomment-645047703 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA0NzcwMw== | simonw 9599 | 2020-06-16T22:40:19Z | 2020-06-16T22:40:19Z | OWNER | Installed SAM: ``` brew tap aws/tap brew install aws-sam-cli sam --version SAM CLI, version 0.52.0 ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645048062 | https://github.com/simonw/datasette/issues/850#issuecomment-645048062 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA0ODA2Mg== | simonw 9599 | 2020-06-16T22:41:33Z | 2020-06-16T22:41:33Z | OWNER | ``` simon@Simons-MacBook-Pro /tmp % sam init SAM CLI now collects telemetry to better understand customer needs. You can OPT OUT and disable telemetry collection by setting the environment variable SAM_CLI_TELEMETRY=0 in your shell. Thanks for your help! Learn More: https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-telemetry.html Which template source would you like to use? 1 - AWS Quick Start Templates 2 - Custom Template Location Choice: 1 Which runtime would you like to use? 1 - nodejs12.x 2 - python3.8 3 - ruby2.7 4 - go1.x 5 - java11 6 - dotnetcore3.1 7 - nodejs10.x 8 - python3.7 9 - python3.6 10 - python2.7 11 - ruby2.5 12 - java8 13 - dotnetcore2.1 Runtime: 2 Project name [sam-app]: datasette-proof-of-concept Cloning app templates from https://github.com/awslabs/aws-sam-cli-app-templates.git AWS quick start application templates: 1 - Hello World Example 2 - EventBridge Hello World 3 - EventBridge App from scratch (100+ Event Schemas) 4 - Step Functions Sample App (Stock Trader) Template selection: 1 ----------------------- Generating application: ----------------------- Name: datasette-proof-of-concept Runtime: python3.8 Dependency Manager: pip Application Template: hello-world Output Directory: . Next steps can be found in the README file at ./datasette-proof-of-concept/README.md ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645050948 | https://github.com/simonw/datasette/issues/850#issuecomment-645050948 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1MDk0OA== | simonw 9599 | 2020-06-16T22:51:30Z | 2020-06-16T22:52:30Z | OWNER | ``` simon@Simons-MacBook-Pro datasette-proof-of-concept % sam build --use-container Starting Build inside a container Building function 'HelloWorldFunction' Fetching lambci/lambda:build-python3.8 Docker container image.......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... Mounting /private/tmp/datasette-proof-of-concept/hello_world as /tmp/samcli/source:ro,delegated inside runtime container Build Succeeded Built Artifacts : .aws-sam/build Built Template : .aws-sam/build/template.yaml Commands you can use next ========================= [*] Invoke Function: sam local invoke [*] Deploy: sam deploy --guided Running PythonPipBuilder:ResolveDependencies Running PythonPipBuilder:CopySource ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645051370 | https://github.com/simonw/datasette/issues/850#issuecomment-645051370 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1MTM3MA== | simonw 9599 | 2020-06-16T22:53:05Z | 2020-06-16T22:53:05Z | OWNER | ``` simon@Simons-MacBook-Pro datasette-proof-of-concept % sam local invoke Invoking app.lambda_handler (python3.8) Fetching lambci/lambda:python3.8 Docker container image.................................................................................................................................................................................................................................... Mounting /private/tmp/datasette-proof-of-concept/.aws-sam/build/HelloWorldFunction as /var/task:ro,delegated inside runtime container START RequestId: 4616ab43-6882-1627-e5e3-5a29730d52f9 Version: $LATEST END RequestId: 4616ab43-6882-1627-e5e3-5a29730d52f9 REPORT RequestId: 4616ab43-6882-1627-e5e3-5a29730d52f9 Init Duration: 140.84 ms Duration: 2.49 ms Billed Duration: 100 ms Memory Size: 128 MBMax Memory Used: 25 MB {"statusCode":200,"body":"{\"message\": \"hello world\"}"} simon@Simons-MacBook-Pro datasette-proof-of-concept % sam local invoke Invoking app.lambda_handler (python3.8) Fetching lambci/lambda:python3.8 Docker container image...... Mounting /private/tmp/datasette-proof-of-concept/.aws-sam/build/HelloWorldFunction as /var/task:ro,delegated inside runtime container START RequestId: 3189df2f-e9c0-1be4-b9ac-f329c5fcd067 Version: $LATEST END RequestId: 3189df2f-e9c0-1be4-b9ac-f329c5fcd067 REPORT RequestId: 3189df2f-e9c0-1be4-b9ac-f329c5fcd067 Init Duration: 87.22 ms Duration: 2.34 ms Billed Duration: 100 ms Memory Size: 128 MB Max Memory Used: 25 MB {"statusCode":200,"body":"{\"message\": \"hello world\"}"} ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645051972 | https://github.com/simonw/datasette/issues/850#issuecomment-645051972 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1MTk3Mg== | simonw 9599 | 2020-06-16T22:55:04Z | 2020-06-16T22:55:04Z | OWNER | ``` simon@Simons-MacBook-Pro datasette-proof-of-concept % sam deploy --guided Configuring SAM deploy ====================== Looking for samconfig.toml : Not found Setting default arguments for 'sam deploy' ========================================= Stack Name [sam-app]: datasette-proof-of-concept AWS Region [us-east-1]: #Shows you resources changes to be deployed and require a 'Y' to initiate deploy Confirm changes before deploy [y/N]: y #SAM needs permission to be able to create roles to connect to the resources in your template Allow SAM CLI IAM role creation [Y/n]: y HelloWorldFunction may not have authorization defined, Is this okay? [y/N]: y Save arguments to samconfig.toml [Y/n]: y Error: Failed to create managed resources: Unable to locate credentials ``` I need to get my AWS credentials sorted. I'm going to follow https://docs.aws.amazon.com/IAM/latest/UserGuide/getting-started_create-admin-group.html and https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-getting-started-set-up-credentials.html | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645053923 | https://github.com/simonw/datasette/issues/850#issuecomment-645053923 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1MzkyMw== | simonw 9599 | 2020-06-16T23:01:49Z | 2020-06-16T23:01:49Z | OWNER | I used https://console.aws.amazon.com/billing/home?#/account and activated "IAM user/role access to billing information" - what a puzzling first step! I created a new user with AWS console access (which means access to the web UI) called `simon-administrator` and set a password. I created an `Administrators` group with `AdministratorAccess`. <img width="1002" alt="Banners_and_Alerts_and_IAM_Management_Console" src="https://user-images.githubusercontent.com/9599/84836494-abef0d80-afea-11ea-8cb9-14bee79439db.png"> | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645054206 | https://github.com/simonw/datasette/issues/850#issuecomment-645054206 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1NDIwNg== | simonw 9599 | 2020-06-16T23:02:54Z | 2020-06-16T23:04:59Z | OWNER | I think I need to sign in to the AWS console with this new `simon-administrator` account and create IAM credentials for it. ... for which I needed my root "account ID" - a 12 digit number - to use on the IAM login form. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645055200 | https://github.com/simonw/datasette/issues/850#issuecomment-645055200 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1NTIwMA== | simonw 9599 | 2020-06-16T23:05:48Z | 2020-06-16T23:05:48Z | OWNER | Logged in as `simon-administrator` I'm using https://console.aws.amazon.com/iam/home?region=us-east-2#/security_credentials to create credentials: <img width="1079" alt="Banners_and_Alerts_and_IAM_Management_Console" src="https://user-images.githubusercontent.com/9599/84836752-3c2d5280-afeb-11ea-8314-e44bf689aba1.png"> | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645056636 | https://github.com/simonw/datasette/issues/850#issuecomment-645056636 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1NjYzNg== | simonw 9599 | 2020-06-16T23:10:22Z | 2020-06-16T23:10:22Z | OWNER | Clicking that button generated me an access key ID / access key secret pair. Dropping those into `~/.aws/credentials` using this format: ``` [default] aws_access_key_id = your_access_key_id aws_secret_access_key = your_secret_access_key ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645058617 | https://github.com/simonw/datasette/issues/850#issuecomment-645058617 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1ODYxNw== | simonw 9599 | 2020-06-16T23:17:09Z | 2020-06-16T23:17:09Z | OWNER | OK, `sam deploy --guided` now works! ``` simon@Simons-MacBook-Pro datasette-proof-of-concept % sam deploy --guided Configuring SAM deploy ====================== Looking for samconfig.toml : Not found Setting default arguments for 'sam deploy' ========================================= Stack Name [sam-app]: datasette-proof-of-concept AWS Region [us-east-1]: #Shows you resources changes to be deployed and require a 'Y' to initiate deploy Confirm changes before deploy [y/N]: #SAM needs permission to be able to create roles to connect to the resources in your template Allow SAM CLI IAM role creation [Y/n]: HelloWorldFunction may not have authorization defined, Is this okay? [y/N]: y Save arguments to samconfig.toml [Y/n]: Looking for resources needed for deployment: Not found. Creating the required resources... Successfully created! Managed S3 bucket: aws-sam-cli-managed-default-samclisourcebucket-1ksajo4h62s07 A different default S3 bucket can be set in samconfig.toml Saved arguments to config file Running 'sam deploy' for future deployments will use the parameters saved above. The above parameters can be changed by modifying samconfig.toml Learn more about samconfig.toml syntax at https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-config.html Deploying with following values =============================== Stack name : datasette-proof-of-concept Region : us-east-1 Confirm changeset : False Deployment s3 bucket : aws-sam-cli-managed-default-samclisourcebucket-1ksajo4h62s07 Capabilities : ["CAPABILITY_IAM"] Parameter overrides : {} Initiating deployment ===================== Uploading to datasette-proof-of-concept/0c208b5656a7aeb6186d49bebc595237 535344 / 535344.0 (100.00%) HelloWorldFunction may not have authorization defined. Uploading to datasette-proof-of-concept/14bd9ce3e21f9c88634d13c0c9b377e4.template 1… | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645058947 | https://github.com/simonw/datasette/issues/850#issuecomment-645058947 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1ODk0Nw== | simonw 9599 | 2020-06-16T23:18:18Z | 2020-06-16T23:18:18Z | OWNER | https://q7lymja3sj.execute-api.us-east-1.amazonaws.com/Prod/hello/ That's a pretty ugly URL. I'm not sure how to get rid of the `/Prod/` prefix on it. Might have to use the `base_url` setting to get something working: https://datasette.readthedocs.io/en/stable/config.html#base-url | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645059663 | https://github.com/simonw/datasette/issues/850#issuecomment-645059663 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA1OTY2Mw== | simonw 9599 | 2020-06-16T23:20:46Z | 2020-06-16T23:20:46Z | OWNER | I added an exclamation mark to hello world and ran `sam deploy` again. https://q7lymja3sj.execute-api.us-east-1.amazonaws.com/Prod/hello/ still shows the old message. Running `sam build --use-container` first and then `sam deploy` did the right thing. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645060598 | https://github.com/simonw/datasette/issues/850#issuecomment-645060598 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2MDU5OA== | simonw 9599 | 2020-06-16T23:24:01Z | 2020-06-16T23:24:01Z | OWNER | I changed `requirements.txt` to this: ``` datasette mangum ``` And `app.py` to this: ```python from datasette.app import Datasette from mangum import Mangum datasette = Datasette([], memory=True) lambda_handler = Mangum(datasette.app()) ``` But then when I ran `sam build --use-container` I got this: ``` simon@Simons-MacBook-Pro datasette-proof-of-concept % sam build --use-container Starting Build inside a container Building function 'HelloWorldFunction' Fetching lambci/lambda:build-python3.8 Docker container image...... Mounting /private/tmp/datasette-proof-of-concept/hello_world as /tmp/samcli/source:ro,delegated inside runtime container Build Failed Running PythonPipBuilder:ResolveDependencies Error: PythonPipBuilder:ResolveDependencies - {uvloop==0.14.0(wheel)} ``` `uvloop` isn't actually necessary for this project, since it's used by `uvicorn` which isn't needed if Lambda is serving ASGI traffic directly. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645061088 | https://github.com/simonw/datasette/issues/850#issuecomment-645061088 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2MTA4OA== | simonw 9599 | 2020-06-16T23:25:41Z | 2020-06-16T23:25:41Z | OWNER | Someone else ran into this problem: https://github.com/iwpnd/fastapi-aws-lambda-example/issues/1 So I need to be able to pip install MOST of Datasette, but skip `uvicorn`. Tricky. I'll try installing a custom fork? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645062266 | https://github.com/simonw/datasette/issues/850#issuecomment-645062266 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2MjI2Ng== | simonw 9599 | 2020-06-16T23:30:12Z | 2020-06-16T23:33:12Z | OWNER | OK, changed `requirements.txt` to this: ``` https://github.com/simonw/datasette/archive/no-uvicorn.zip mangum ``` No `sam build --use-container` runs without errors. Ran `sam deploy` too. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645063058 | https://github.com/simonw/datasette/issues/850#issuecomment-645063058 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2MzA1OA== | simonw 9599 | 2020-06-16T23:32:57Z | 2020-06-16T23:32:57Z | OWNER | https://q7lymja3sj.execute-api.us-east-1.amazonaws.com/Prod/hello/ is now giving me a 500 internal server error. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645063386 | https://github.com/simonw/datasette/issues/850#issuecomment-645063386 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2MzM4Ng== | simonw 9599 | 2020-06-16T23:34:07Z | 2020-06-16T23:34:07Z | OWNER | Tried `sam local invoke`: ``` simon@Simons-MacBook-Pro datasette-proof-of-concept % sam local invoke Invoking app.lambda_handler (python3.8) Fetching lambci/lambda:python3.8 Docker container image...... Mounting /private/tmp/datasette-proof-of-concept/.aws-sam/build/HelloWorldFunction as /var/task:ro,delegated inside runtime container START RequestId: 7c04480b-5d42-168e-dec0-4e8bf34fa596 Version: $LATEST [INFO] 2020-06-16T23:33:27.24Z 7c04480b-5d42-168e-dec0-4e8bf34fa596 Waiting for application startup. [INFO] 2020-06-16T23:33:27.24Z 7c04480b-5d42-168e-dec0-4e8bf34fa596 LifespanCycleState.STARTUP: 'lifespan.startup.complete' event received from application. [INFO] 2020-06-16T23:33:27.24Z 7c04480b-5d42-168e-dec0-4e8bf34fa596 Application startup complete. [INFO] 2020-06-16T23:33:27.24Z 7c04480b-5d42-168e-dec0-4e8bf34fa596 Waiting for application shutdown. [INFO] 2020-06-16T23:33:27.24Z 7c04480b-5d42-168e-dec0-4e8bf34fa596 LifespanCycleState.SHUTDOWN: 'lifespan.shutdown.complete' event received from application. [ERROR] KeyError: 'requestContext' Traceback (most recent call last): File "/var/task/mangum/adapter.py", line 110, in __call__ return self.handler(event, context) File "/var/task/mangum/adapter.py", line 130, in handler if "eventType" in event["requestContext"]: END RequestId: 7c04480b-5d42-168e-dec0-4e8bf34fa596 REPORT RequestId: 7c04480b-5d42-168e-dec0-4e8bf34fa596 Init Duration: 1120.76 ms Duration: 7.08 ms Billed Duration: 100 ms Memory Size: 128 MBMax Memory Used: 47 MB {"errorType":"KeyError","errorMessage":"'requestContext'","stackTrace":[" File \"/var/task/mangum/adapter.py\", line 110, in __call__\n return self.handler(event, context)\n"," File \"/var/task/mangum/adapter.py\", line 130, in handler\n if \"eventType\" in event[\"requestContext\"]:\n"]} ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645064332 | https://github.com/simonw/datasette/issues/850#issuecomment-645064332 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2NDMzMg== | simonw 9599 | 2020-06-16T23:37:34Z | 2020-06-16T23:37:34Z | OWNER | Just realized Colin Dellow reported an issue with Datasette and Mangum back in April - #719 - and has in fact been working on https://github.com/code402/datasette-lambda for a while! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 | |
| 645068128 | https://github.com/simonw/datasette/issues/850#issuecomment-645068128 | https://api.github.com/repos/simonw/datasette/issues/850 | MDEyOklzc3VlQ29tbWVudDY0NTA2ODEyOA== | simonw 9599 | 2020-06-16T23:52:16Z | 2020-06-16T23:52:16Z | OWNER | https://aws.amazon.com/blogs/compute/announcing-http-apis-for-amazon-api-gateway/ looks very important here: AWS HTTP APIs were introduced in December 2019 and appear to be a third of the price of API Gateway. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Proof of concept for Datasette on AWS Lambda with EFS 639993467 |
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