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Get the Report →Connect to Bitbucket Data in Google Apps Script
Use the ODBC Driver for Bitbucket and the SQL Gateway to access Bitbucket data from Google Apps Script.
Google Apps Script gives you the ability to create custom functionality within your Google documents, including Google Sheets, Google Docs, and more. With the CData SQL Gateway, you can create a MySQL interface for any ODBC driver, including the 200+ drivers by CData for sources like Bitbucket. The MySQL protocol is natively supported through the JDBC service in Google Apps Script, so by utilizing the SQL Gateway, you gain access to live Bitbucket data within your Google documents.
This article discusses connecting to the ODBC Driver for Bitbucket from Google Apps Script, walking through the process of configuring the SQL Gateway and providing sample scripting for processing Bitbucket data in a Google Spreadsheet.
Our script only reads data from a specified table, but you can easily extend the script to incorporate update functionality.
Real-Time Connectivity Through SQL Gateway
With SQL Gateway, your local ODBC data sources can look and behave like a standard MySQL database. Simply create a new MySQL remoting service in the SQL Gateway for the ODBC Driver for Bitbucket and ensure that the SQL Gateway is installed on a web-facing machine (or can connect to a hosted SSH server).
Connect to Bitbucket Data
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.
Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:
- Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
- Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.
Authenticating to Bitbucket
Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.
Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).
Creating a custom OAuth application
From your Bitbucket account:
- Go to Settings (the gear icon) and select Workspace Settings.
- In the Apps and Features section, select OAuth Consumers.
- Click Add Consumer.
- Enter a name and description for your custom application.
- Set the callback URL:
- For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
- For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
- If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
- Select which permissions to give your OAuth application. These determine what data you can read and write with it.
- To save the new custom application, click Save.
- After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.
Create a MySQL Remoting Service for Bitbucket Data
See the SQL Gateway Overview to set up connectivity to Bitbucket data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.
Configure Remote Access
If your ODBC Driver and the remoting service are installed on-premise (and not accessible from Google Apps Script), you can use the reverse SSH tunneling feature to enable remote access. For detailed instructions, read our Knowledge Base article: SQL Gateway SSH Tunneling Capabilities.
Connecting to Bitbucket Data with Apps Script
At this point, you should have configured the SQL Gateway for Bitbucket data. All that is left now is to use Google Apps Script to access the MySQL remoting service and work with your Bitbucket data in Google Sheets.
In this section, you will create a script (with a menu option to call the script) to populate a spreadsheet with Bitbucket data. We have created a sample script and explained the different parts. You can view the raw script at the end of the article.
1. Create an Empty Script
To create a script for your Google Sheet, click Tools Script editor from the Google Sheets menu:
2. Declare Class Variables
Create a handful of class variables to be available for any functions created in the script.
//replace the variables in this block with real values as needed var address = 'my.server.address:port'; var user = 'SQL_GATEWAY_USER'; var userPwd = 'SQL_GATEWAY_PASSWORD'; var db = 'CData Bitbucket Sys'; var dbUrl = 'jdbc:mysql://' + address + '/' + db;
3. Add a Menu Option
This function adds a menu option to your Google Sheet, allowing you to use the UI to call your function.
function onOpen() { var spreadsheet = SpreadsheetApp.getActive(); var menuItems = [ {name: 'Write data to a sheet', functionName: 'connectToBitbucketData'} ]; spreadsheet.addMenu('Bitbucket Data', menuItems); }
![The newly added Menu option. The newly added Menu option.](../articles/odbc-mysql-apps-script-3.png)
4. Write a Helper Function
This function is used to find the first empty row in a spreadsheet.
/* * Finds the first empty row in a spreadsheet by scanning an array of columns * @return The row number of the first empty row. */ function getFirstEmptyRowByColumnArray(spreadSheet, column) { var column = spreadSheet.getRange(column + ":" + column); var values = column.getValues(); // get all data in one call var ct = 0; while ( values[ct] && values[ct][0] != "" ) { ct++; } return (ct+1); }
5. Write a Function to Write Bitbucket Data to a Spreadsheet
The function below writes the Bitbucket data, using the Google Apps Script JDBC functionality to connect to the MySQL remoting service, SELECT data, and populate a spreadsheet. When the script is run, two input boxes will appear:
The first one asking the user to input the name of a sheet to hold the data (if the spreadsheet does not exist, the function creates it)
![Input box for sheet selection. Input box for sheet selection.](../articles/odbc-mysql-apps-script-4.png)
and the second one asking the user to input the name of a Bitbucket table to read. If an invalid table is chosen, an error message appears and the function is exited.
![Input box for table selection. Input box for table selection.](../articles/odbc-mysql-apps-script-5.png)
It is worth noting that, while the function is designed to be used as a menu option, it could be extended for use as a formula in a spreadsheet.
/* * Reads data from a specified Bitbucket 'table' and writes it to the specified sheet. * (If the specified sheet does not exist, it is created.) */ function connectToBitbucketData() { var thisWorkbook = SpreadsheetApp.getActive(); //select a sheet and create it if it does not exist var selectedSheet = Browser.inputBox('Which sheet would you like the data to post to?',Browser.Buttons.OK_CANCEL); if (selectedSheet == 'cancel') return; if (thisWorkbook.getSheetByName(selectedSheet) == null) thisWorkbook.insertSheet(selectedSheet); var resultSheet = thisWorkbook.getSheetByName(selectedSheet); var rowNum = 2; //select a Bitbucket 'table' var table = Browser.inputBox('Which table would you like to pull data from?',Browser.Buttons.OK_CANCEL); if (table == 'cancel') return; var conn = Jdbc.getConnection(dbUrl, user, userPwd); //confirm that var table is a valid table/view var dbMetaData = conn.getMetaData(); var tableSet = dbMetaData.getTables(null, null, table, null); var validTable = false; while (tableSet.next()) { var tempTable = tableSet.getString(3); if (table.toUpperCase() == tempTable.toUpperCase()){ table = tempTable; validTable = true; break; } } tableSet.close(); if (!validTable) { Browser.msgBox("Invalid table name: " + table, Browser.Buttons.OK); return; } var stmt = conn.createStatement(); var results = stmt.executeQuery('SELECT * FROM ' + table); var rsmd = results.getMetaData(); var numCols = rsmd.getColumnCount(); //if the sheet is empty, populate the first row with the headers var firstEmptyRow = getFirstEmptyRowByColumnArray(resultSheet, "A"); if (firstEmptyRow == 1) { //collect column names var headers = new Array(new Array(numCols)); for (var col = 0; col < numCols; col++){ headers[0][col] = rsmd.getColumnName(col+1); } resultSheet.getRange(1, 1, headers.length, headers[0].length).setValues(headers); } else { rowNum = firstEmptyRow; } //write rows of Bitbucket data to the sheet var values = new Array(new Array(numCols)); while (results.next()) { for (var col = 0; col < numCols; col++) { values[0][col] = results.getString(col + 1); } resultSheet.getRange(rowNum, 1, 1, numCols).setValues(values); rowNum++; } results.close(); stmt.close(); }
When the function is completed, you have a spreadsheet populated with your Bitbucket data and you can now leverage all of the calculating, graphing, and charting functionality of Google Sheets anywhere you have access to the Internet.
Complete Google Apps Script
//replace the variables in this block with real values as needed var address = 'my.server.address:port'; var user = 'SQL_GATEWAY_USER'; var userPwd = 'SQL_GATEWAY_PASSWORD'; var db = 'CData Bitbucket Sys'; var dbUrl = 'jdbc:mysql://' + address + '/' + db; function onOpen() { var spreadsheet = SpreadsheetApp.getActive(); var menuItems = [ {name: 'Write table data to a sheet', functionName: 'connectToBitbucketData'} ]; spreadsheet.addMenu('Bitbucket Data', menuItems); } /* * Finds the first empty row in a spreadsheet by scanning an array of columns * @return The row number of the first empty row. */ function getFirstEmptyRowByColumnArray(spreadSheet, column) { var column = spreadSheet.getRange(column + ":" + column); var values = column.getValues(); // get all data in one call var ct = 0; while ( values[ct] && values[ct][0] != "" ) { ct++; } return (ct+1); } /* * Reads data from a specified 'table' and writes it to the specified sheet. * (If the specified sheet does not exist, it is created.) */ function connectToBitbucketData() { var thisWorkbook = SpreadsheetApp.getActive(); //select a sheet and create it if it does not exist var selectedSheet = Browser.inputBox('Which sheet would you like the data to post to?',Browser.Buttons.OK_CANCEL); if (selectedSheet == 'cancel') return; if (thisWorkbook.getSheetByName(selectedSheet) == null) thisWorkbook.insertSheet(selectedSheet); var resultSheet = thisWorkbook.getSheetByName(selectedSheet); var rowNum = 2; //select a Bitbucket 'table' var table = Browser.inputBox('Which table would you like to pull data from?',Browser.Buttons.OK_CANCEL); if (table == 'cancel') return; var conn = Jdbc.getConnection(dbUrl, user, userPwd); //confirm that var table is a valid table/view var dbMetaData = conn.getMetaData(); var tableSet = dbMetaData.getTables(null, null, table, null); var validTable = false; while (tableSet.next()) { var tempTable = tableSet.getString(3); if (table.toUpperCase() == tempTable.toUpperCase()){ table = tempTable; validTable = true; break; } } tableSet.close(); if (!validTable) { Browser.msgBox("Invalid table name: " + table, Browser.Buttons.OK); return; } var stmt = conn.createStatement(); var results = stmt.executeQuery('SELECT * FROM ' + table); var rsmd = results.getMetaData(); var numCols = rsmd.getColumnCount(); //if the sheet is empty, populate the first row with the headers var firstEmptyRow = getFirstEmptyRowByColumnArray(resultSheet, "A"); if (firstEmptyRow == 1) { //collect column names var headers = new Array(new Array(numCols)); for (var col = 0; col < numCols; col++){ headers[0][col] = rsmd.getColumnName(col+1); } resultSheet.getRange(1, 1, headers.length, headers[0].length).setValues(headers); } else { rowNum = firstEmptyRow; } //write rows of Bitbucket data to the sheet var values = new Array(new Array(numCols)); while (results.next()) { for (var col = 0; col < numCols; col++) { values[0][col] = results.getString(col + 1); } resultSheet.getRange(rowNum, 1, 1, numCols).setValues(values); rowNum++; } results.close(); stmt.close(); }