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Servoy is a rapid application development and deployment platform. When paired with the CData JDBC Driver for Google BigQuery, users can build BigQuery-connected apps that work with live BigQuery data. This article describes how to connect to BigQuery from Servoy and build a simple web app to display and search BigQuery data.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BigQuery data. When you issue complex SQL queries to BigQuery, the driver pushes supported SQL operations, like filters and aggregations, directly to BigQuery and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with BigQuery data using native data types.
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
To build BigQuery-connected apps, you need to first create a data provider in Servoy Developer using the CData JDBC Driver for Google BigQuery.
Set the URL, for example: jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH;
For assistance in constructing the JDBC URL, use the connection string designer built into the BigQuery JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googlebigquery.jar
Fill in the connection properties and copy the connection string to the clipboard.
Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Once you have configured the connection to BigQuery in the Servoy Developer resources, you are ready to build apps with access to live BigQuery data.
Right-click "Forms" and select "Create new form."
Drag a column component onto the Data Grid and set the "dataprovider" property for each column component to a column from the BigQuery "table" (e.g., OrderName from the Orders table).
Continue adding columns as desired.
Note that the "svySearch" extension is required to add search functionality (included by default when you create a new solution). If you did not add the extension when you created the solution or you are modifying an existing solution, you can add the search module by right-clicking Modules (in the solution) and selecting "Add Module." Select "svySearch" and click "OK."
var searchText = '';
var search = scopes.svySearch.createSimpleSearch(foundset).setSearchText(searchText); search.setSearchAllColumns(); search.loadRecords(foundset);
Save the form and JavaScript file, then click Run -> Launch NGClient to start the web app.
๐ A simple web app.Download a free, 30-day trial of the CData JDBC Driver for Google BigQuery and start building BigQuery-connected apps with Servoy. Reach out to our Support Team if you have any questions.
Download a free trial of the Google BigQuery Driver to get started:
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๐ Google BigQuery IconRapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.