11/28/2023 0 Comments Gitx download![]() ![]() Review the considerations and limitations when calling the Data API. Storing database credentials in AWS Secrets Manager. Set up a secret if you use Secrets Manager for authentication credentials. For more information, see Choosingĭatabase authentication credentials when calling the Amazon Redshift Data API. For more informationĪbout authorization, see Authorizing access to the Amazon Redshift Data API.ĭetermine if you plan to call the Data API with authentication credentials from Secrets Manager or Working with the Amazon Redshift Data APIīefore you use the Amazon Redshift Data API, review the following steps:ĭetermine if you, as the caller of the Data API, are authorized. You don't need to pass passwords in the API calls with eitherįor more information about AWS Secrets Manager, see What Is AWS Secrets Manager? inįor more information about the Data API operations, see theĪPI Reference. The Data API uses either credentials stored in AWS Secrets Manager or temporary databaseĬredentials. You can use theĮndpoint to run SQL statements without managing connections. It provides a secure HTTP endpoint and integration with AWS SDKs. The Data API doesn't require a persistent connection to your database. Including AWS Lambda, Amazon SageMaker notebooks, and AWS Cloud9. This API, you can access Amazon Redshift data with web services–based applications, This contrasts sharply with the overhead of branching in Subversion.You can access your Amazon Redshift database using the built-in Amazon Redshift Data API. In this example, we added a new pointer for the branch, moved the “master” pointer back to where it was before our changes, and replaced our working directory files with the older stuff. Branches are simply pointers to a commit. We don’t have to move any commits to a branch: instead we move the labels around. The critical point to this operation - the reason this is really easy for me now, but was super-hard before I understood the commit graph - is that we don’t have to move any code. If a commit is reachable in the history from any reference (branch, HEAD, tag), then it is safe. Git will always and forever remember the exact state of your code at any commit that has a label, or is in the history of any commit with a label. Why is “–hard” not dangerous? well, it can be. “–hard” tells git to rejigger all your files. This is the third thing that your git reset command did, thanks to “–hard”: it replaced everything in your working directory with what the repository looks like in origin’s master branch. ![]() That new_feature branch is sticking out up there, saving your work. Nothing to commit (working directory clean)Īnd in gitx (if you’re on a Mac, please download gitx): # Your branch is ahead of 'origin/master' by 2 commits. git status looks like: # On branch master The detailsġ) After your changes are committed, you’re still on the master branch. It’s ok if they’re not finished you’ll come back to these later.īam, your changes are saved off on feature_branch_name, your current working directory matches what was in the origin repo last time you fetched (or pulled) from it, and you are ready to start work on the bug. Then, I’ll tell you how it works, so that you can adjust the solutions to your own needs. Now you need to work on a bug instead, so you’ve got to put these changes away - if only you had branched! You wish you had started a branch for this feature, back before you began it. Say you’re working along on a branch (let’s say master), and suddenly you realize that this task is harder than you thought. ![]()
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