![]() ![]() You can customize the cookies we store on your device or change your selection at any time - thus also revoking your consent with effect for the future - under “Manage Cookies”, or “Cookie Settings” at the bottom of the page. You can find further information in our Privacy Policy. This may result in the creation of pseudonymous usage profiles and the transfer of personal data to third countries, including the USA, which may have no adequate level of protection for the processing of personal data.īy clicking “Accept all”, you consent to the storage of cookies and the processing of personal data for these purposes, including any transfers to third countries. By clicking on “Decline all”, you do not give your consent and we will only store cookies that are necessary for our website. With your consent, we and third-party providers use cookies and similar technologies on our website to analyse your use of our site for market research or advertising purposes ("analytics and marketing") and to provide you with additional functions (“functional”). Step 5: Drop the original MongoDB databaseĪfter making sure that everything has been correctly copied into the new database, we can drop the original database, users. You can always track the progress in the Operations window, below the Connection Tree on the bottom-left hand side. How long this process takes will depend on how large your original database is. Choose Paste Collections/Views/Buckets.Now that we’ve created the new database, we’ll then paste the contents of the original database users into customers. Step 4: Paste the contents of the original database The database called customers should then appear in the Connection Tree. Here, we can name the newly-created database customers and click OK. Right-click on the target server (which is Studio 3T Replica Set in our example).If your file can't be selected, change its extension to '.csv'. from the context menu by right-clicking on the table name in the left sidebar. or press -I and select a CSV file you'd like to import. Next, we’ll create a new database where we can paste the copied content. from the 'File' menu (-I) Go to 'File' 'Import CSV'. two databases, a database and a collection inside). When it is false, Postico only shows the favorite in the favorite window, but does not connect.If you don’t see copy options, please ensure that you have not selected more than one node (e.g. When this is true, Postico immediately connects to the favorite corresponding to the URL. This avoids cluttering the Favorites window if you use many different connections, but it also disables some features that rely on favorites, like query history.Ĭan be 'true' or 'false'. If you set this to 'false', Postico will connect to the URL without creating a favorite. Whether to automatically create a favorite when no matching favorite was found. Provide the path to a private key file for authenticating to an SSH server.Ĭan be 'true' or 'false'. The username for authenticating with the SSH server. The port number that the database is running on. This is useful if you want to update the favorite later, but want to allow changing the nickname manually.Įxample: e6ad04c5-9ebb-4e5c-95d0-9c634f373c83 If none is provided, a random UUID will be generated. ![]() Can be used when creating a new favorite, or when updating an existing favorite.Ī UUID in standard format for the favorite. Postgres+ssh: can be used to connect to a PostgreSQL server via an SSH tunnel (see examples)Ī nick name for the connection. Postico: is an alternative url scheme that you can use if you have multiple apps that support postgres: URLs, but want to open Postico specifically Redshift is provided as an alternative for connecting to Amazon Redshift clusters. Postgres and postgresql can both be used for direct connections to PostgreSQL servers. Postico opens URLs with any of the following schemes: Open Postico from the command line with the open commandĬreate and update favorites from the command line Postico supports using connection URLs for connecting to PostgreSQL servers.Ī typical connection URL might look like URL would connect to a server running locally (localhost), with user name "jakob", and connect to the database "marketing"Ĭonnect to a PostgreSQL server by clicking a link on a website (eg. You are looking at the documentation for Postico v1.5.17 - would you like to go to the latest version instead? Connection URLs ![]()
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