ODBC Google BigQuery API Connector
In this article you will learn, how to integrate Driver mentioned in this article is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connection and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new with ODBC and ZappySys ODBC PowerPack then check below links to get started. |
See also
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Create ODBC Data Source (DSN) based on ZappySys API Driver
To get data from GoogleBigQuery using ODBC we first need to create a DSN - Data Source - which will access data from GoogleBigQuery, which later will be able to get using ODBC. Perform these steps:
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Install ZappySys ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User Data Source (User DSN) based on ZappySys API Driver:
You should create System DSN if client application is launched under Windows System Account, e.g. as a Windows Service.
Launch ODBC Data Sources 32-bit version in case your client application is a 32-bit (x86) application (required only for System DSN). -
When a window appears, firstly give your data source a name if you haven't done that already, then select "Google BigQuery" from the list of Popular Connectors. If "Google BigQuery" is not present in the list, then click "Search Online" and download it. Then set the path to the one where you downloaded it. Finally, hit Continue >> button to continue configuring DSN:
GoogleBigQueryDSNGoogle BigQuery -
Another window appears and it's time to configure the Connection Manager. Firstly, select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases default one is the right one). More info is available in Authentication section.
Steps to get Google BigQuery Credentials
This connection can be configured using two ways. Use Default App (Created by ZappySys) OR Use Custom App created by you.
To use minimum settings you can start with ZappySys created App. Just change UseCustomApp=false on the properties grid so you dont need ClientID / Secret. When you click Generate Token you might see warning about App is not trusted (Simply Click Advanced Link to expand hidden section and then click Go to App link to Proceed). To register custom App, perform the following steps (Detailed steps found in the help link at the end)- Go to Google API Console
- From the Project Dropdown (usually found at the top bar) click Select Project
- On Project Propup click CREATE PROJECT
- Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
- Click ENABLE APIS AND SERVICES
- Now we need to Enable two APIs one by one (BigQuery API and Cloud Resource Manager API).
- Search BigQuery API. Select and click ENABLE
- Search Cloud Resource Manager API. Select and click ENABLE
- Go to back to main screen of Google API Console
- Click OAuth Concent Screen Tab. Enter necessary details and Save.
- Click Credentials Tab
- Click CREATE CREDENTIALS (some where in topbar) and select OAuth Client ID option.
- When prompted Select Application Type as Desktop App and click Create to receive your ClientID and Secret. You can use this information now to configure Connection with UseCustomApp=true.
And finally, fill in all the required parameters and set optional parameters if needed.:
GoogleBigQueryDSNUser Account [OAuth]https://www.googleapis.com/bigquery/v2Required Parameters UseCustomApp Fill in the parameter... ProjectId Fill in the parameter... DatasetId Fill in the parameter... Optional Parameters ClientId Fill in the parameter... ClientSecret Fill in the parameter... Scope Fill in the parameter... -
Once you configured a data source, you can preview data. Hit Preview tab, and use similar settings to preview data:
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Click OK to finish creating the data source
Create Custom Store Procedure in ZappySys Driver
You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.
Steps to create Custom Store Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
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Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
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Enter the desired Procedure name and click on OK:
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Select the created Store Procedure and write the your desired store procedure and Save it and it will create the custom store procedure in the ZappySys Driver:
Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
CREATE PROCEDURE [usp_get_orders]
@fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
AS
SELECT * FROM Orders where OrderDate >= '<@fromdate>'
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That's it now go to Preview Tab and Execute your Store Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
Exec usp_get_orders '1996-01-01'
Create Custom Virtual Table in ZappySys Driver
ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.
Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.
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Go to Custom Objects Tab and Click on Add button and Select Add Table:
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Enter the desired Table name and click on OK:
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And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
SELECT
"ShipCountry",
"OrderID",
"CustomerID",
"EmployeeID",
"OrderDate",
"RequiredDate",
"ShippedDate",
"ShipVia",
"Freight",
"ShipName",
"ShipAddress",
"ShipCity",
"ShipRegion",
"ShipPostalCode"
FROM "Orders"
Where "ShipCountry"='USA'
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That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
SELECT * FROM "vt__usa_orders_only"
Conclusion
In this article we discussed how to connect to Google BigQuery in ODBC and integrate data without any coding. Click here to Download Google BigQuery Connector for ODBC and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).Actions supported by Google BigQuery Connector
Google BigQuery Connectors support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.Parameter | Description | ||||||||
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SQL Statement (i.e. SELECT / DROP / CREATE) |
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Use Legacy SQL Syntax? |
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timeout (Milliseconds) |
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Parameter | Description |
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ProjectId |
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DatasetId |
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TableId |
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SearchFilter |
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ProjectId |
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SearchFilter |
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all |
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Parameter | Description |
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ProjectId |
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Dataset Name |
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Description |
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ProjectId |
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DatasetId |
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Delete All Tables |
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Parameter | Description |
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ProjectId |
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DatasetId |
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TableId |
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ProjectId |
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DatasetId |
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SQL Query |
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Use Legacy SQL Syntax? |
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timeout (Milliseconds) |
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Parameter | Description |
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DatasetId |
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TableId |
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Parameter | Description |
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ProjectId |
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DatasetId |
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TableId |
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Parameter | Description |
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Url |
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Body |
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IsMultiPart |
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Filter |
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Headers |
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