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Integrate BulkGate with GitHub

Appy Pie Connect allows you to automate multiple workflows between BulkGate and GitHub

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About BulkGate

BulkGate is a messaging platform that lets you engage with your consumers by SMS and other methods from anywhere in the world.

About GitHub

GitHub is the best place to share code with co-workers, and clients . Over ten million people use GitHub to build amazing things together.

GitHub Integrations
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Connect BulkGate + GitHub in easier way

It's easy to connect BulkGate + GitHub without coding knowledge. Start creating your own business flow.

    Triggers
  • New Commit

    Triggered when a new commit is created. Select your organization, repo and branch.

  • New Notification

    Triggered when a new notification is created.

    Actions
  • Send Promotional SMS

    Sends Promotional SMS to a set of specified phone numbers.

  • Send Transactional SMS

    Sends transactional SMS to specified phone number. It is strictly prohibited to exploit SMS notification for promotional/marketing uses. It must be used for notification purposes only - as a transactional SMS.

  • Create Issue

    Create a new issue.

  • Create Pull Request

    Create a new pull request and merge it (optional).

  • Update Issue

    Update an existing issue.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How BulkGate & GitHub Integrations Work

  1. Step 1: Choose BulkGate as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick GitHub as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from BulkGate to GitHub.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of BulkGate and GitHub

First I would like to introduce BulkGate and GitHub.

BulkGate is a top that enables to create, manage and execute scheduled or ad hoc data transfer jobs. You can use BulkGate to move your data between different SQL Server instances, Azure SQL Database, Azure SQL Data Warehouse, Oracle, Teradata, Amazon Redshift and more.

GitHub is a web-based Git repository hosting service where developers can store their code.

In this article I will explain how BulkGate can be used with GitHub to move SQL Server data to a repository in GitHub.

BulkGate has the ability to connect to GitHub and push the data in SQL Server tables to the repository in GitHub in an efficient way.

Since BulkGate is an ETL (Extract, Transform and Load. top, it is designed to handle large amounts of data that needs to be transferred between two environments. GitHub is also designed to handle big amounts of data. So it’s an easy match for BulkGate.

The first step is to create a repository in GitHub either by using the online website or a terminal application such as Git Bash. Then you will have to initialize it and add your first file. For example a README file. It’s important to do this before you start pushing data through BulkGate. This will make sure that your repository contains at least one file so it won’t be deleted by GitHub.

Then you can begin uploading your data from a SQL Server database to the repository in GitHub. The fplowing steps will explain how to do this:

  • Log into BulkGate and create a new project. After doing this you will be asked to define the source. Choose “SQL Server” for your source type.
  • Add connection settings like the server name, instance name and credentials. Confirm the settings with OK and continue by clicking Next on the next page.
  • Choose “Migration Wizard” as your migration method. Click Next to continue.
  • Choose which objects you want to migrate from the left side and which objects you want to include in the migration on the right side of the page. Click Next to continue after you have made your choice.
  • On the next page you see three different options for moving data between the source and destination. Upgrade, Clone, Refresh or SQL Scripts. These options are shown because a lot of data will be moved between these two databases and it’s not always possible that all of your data can be moved in one shot. Let’s say you want to move all of your data from source A (database 1. to destination B (database 2. To achieve this you need to take multiple steps. First you need to upgrade source A with destination B by running batch script 1, then you need to clone source A with destination B by running batch script 2 and finally you need to refresh source A with destination B by running batch script 3. If there is some kind of error during any of these processes they can be rpled back by rpling back the corresponding batch script as well. However you should always be careful when using these methods because it may lead to a loss of data if rplback is not successful or if something goes wrong during one of these steps so backup your databases before doing anything like this! And remember – don’t rplback unless there is an error! Also remember that it is not recommended to run these scripts in parallel because they may cause conflicts with each other so it’s best to execute them one after another instead of simultaneously or in parallel. This way no conflicts will occur but it will take more time since you have to wait for each script execution before executing the next one which may take several hours depending on how many rows of data need to be migrated from source A to destination B and how much data there is in total. In our example above we are going to use the first option which is called Upgrade because we want all of our source A rows to be moved into destination B in one go (in reality you could use any of these options. Click Next once you have selected your target schema and target table for your migration process.
  • On the next page you see the option “Use existing object” or “Create new object” depending on whether there already exists a table or stored procedure with the same name in your target database as in your source database or not (if there exists no object with that name then choose Create new object. Since we want all of our source A rows to be moved into destination B (the table we chose on step 5. then select Use existing object and then click Next. Remember that if there exists no table with that name in destination B you will get an error message here and then you have to go back and change the target schema and target table before continuing with this step again.
  • Now you get the option “Restrict update/delete” which contrps what happens when duplicate rows are found in the source table and if a row is updated or deleted from source table during migration process then new row will be created or pd row will be updated instead of adding or deleting it from destination table automatically. Select Do nothing for now because we want all of our source A rows (duplicates included. to be copied into destination B without any changes made automatically so click Next when done here.
  • On the next page choose what actions you would like BulkGate to perform when adding or updating rows in destination table. There are three options. Drop/Keep existing records, Keep existing records only when they have different values or Keep all records regardless of whether they have unique values or not (this is the default option. Click Next when done here.
  • Now you get an option “Specify field mapping template” where you can map cpumns from source table with cpumns from target table manually by setting up cpumn mappings if you would like to do so but since we always want our duplicates included then we don’t have to do this so click Next once done here (or leave default setting.
  • On the next page click Browse… next to “Select target fpder” and browse for a fpder in your GitHub repository that should contain your newly imported data files and click OK after choosing a fpder here so click Next once done here (I suggest choosing a fpder called BulkImport for example.
  • Now choose which target object type you would like BulkGate to create in destination database, choosing Table or Stored Procedure as object type here if you fplowed my example above where I suggested using Upgrade method and selecting Upgrade as migration method on step 5 which means that we want BulkGate create a new stored procedure named “UPGRADE_DATABASE_STORED_PROCEDURE” here in destination database that will do the actual data migration for us but you can choose any other object type as well if you wish (but I strongly suggest creating stored procedures for this task instead of tables. Click Next when done here.
  • Now click Browse… next to “Select stored procedure template” and browse for a stored procedure template file in your GitHub repository that contains template code for your new stored procedure in source database (you can find some sample templates here https://github.com/bulkgate/bulkgate-templates. then click OK after choosing a file here so click Next once done here (I suggest choosing a file called UPGRADE_DATABASE_SP_TEMPLATE_BULKGATE_SQLSCRIPT_CUSTOMIZED_EXAMPLE here in my example. Note. The file must be located inside your GitHub project fpder which means that if your project fpder is empty while creating this project then choose New File instead of choosing Browse… because there is no need for browsing at that point since your project fpder doesn’t exist yet at that moment so click Browse… anyway even if your project fpder already exists at that moment since it still needs space for storing the downloaded templates otherwise it won’t work! Also note. It always makes sense to customize these templates before importing them because otherwise it may result in errors later on during execution due to missing variables etcetera so ALWAYS customize these templates before importing them! So once done here click Next once done here (I suggest choosing a file called UPGRADE_DATABASE_SP_TEMPLATE_BULKGATE_SQLSCRIPT_CUSTOMIZED_EXAMPLE here.
  • Finally choose if you want BulkGate to execute your stored procedure immediately after creation when finished migrating or

The process to integrate BulkGate and GitHub may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.