A sample project that queries Twitter every 2 minutes and stores the results in S3. The project also sets up an Athena table and query. This project demonstrates using aws.cloudwatch.EventRule
to run a Lambda on an interval.
Register a new Twitter app.
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Create a new stack:
pulumi stack init twitter-athena
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In Twitter, get the keys for your application. Set configuration values for your Twitter consumer key/secret and application key/secret. Use the
--secret
flag to securely encrypt secret values.pulumi config set twitterAccessTokenKey <Value for Consumer Key (API Key)> pulumi config set --secret twitterAccessTokenSecret <Value for Consumer Secret (API Secret)> pulumi config set twitterConsumerKey <Value for Access Token> pulumi config set --secret twitterConsumerSecret <Value for Access Token Secret>
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Set a search term to query for:
pulumi config set twitterQuery "Amazon Web Services"
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Set the AWS region:
pulumi config set aws:region us-west-2
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Restore NPM modules via
npm install
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Preview and run the deployment via
pulumi up
. A total of 16 resources are created. -
Run
pulumi stack output
to view output properties (or view the stack on pulumi.com).$ pulumi stack output Please choose a stack: aws-serverless-js-twitter-dev Current stack outputs (4): OUTPUT VALUE athenaDatabase tweets_database bucketName tweet-bucket-de18828 createTableQueryUri https://us-west-2.console.aws.amazon.com/athena/home?force#query/saved/e394800e-a35e-44b3-b8ca-8b47b0f74469 topUsersQueryUri https://us-west-2.console.aws.amazon.com/athena/home?force#query/saved/51fa5744-bab6-4e5f-8cd6-9447b6619f06
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Navigate to the URL for
createTableQueryUri
and run the query in the Athena console. This will create a table calledtweets
. -
Navigate to the URL for
topUsersQueryUri
and run the query in Athena. You'll see tweets for your search term, by users with more than 1000 followers.
To clean up resources, run pulumi destroy
and answer the confirmation question at the prompt.