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Is it possible to deploy a JDBC connector in Google Big Query?

By : 呂信緯
Date : September 14 2020, 08:00 PM
this will help Assuming you're really asking "how to connect to BigQuery using JDBC", you can download the official BigQuery JDBC drivers from Google's site:
code :

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Google Spreadsheet jdbc connector

By : user6002677
Date : March 29 2020, 07:55 AM
help you fix your problem After spending some time with this, I found this page: http://www.rssbus.com/jdbc/google-spreadsheet/
They developed this Google Spreadsheet API, and it is very useful for developers who want to test and use their Google Spreadsheets, it is great.

Multiple selects in one query in java with jdbc connector-Mysql

By : Giancarlo
Date : March 29 2020, 07:55 AM
Any of those help SELECT * FROM school.product_table where name in(name.null) and artist in (name,null)
Along with matching the records with name and artist, it will also return results with name=null and artist, artist=null and name, null and null.

I'm deploying Google connector for database on my server. How to find the classname of my JDBC driver?

By : Graphicdsr
Date : March 29 2020, 07:55 AM
With these it helps If you have the JAR file, for the drive, you can open it up (it is a zip) and then browse the directory structure. You'll be looking for something like what you see for Oracle.
Postgres uses:
code :

ClassNotFoundException: com.microsoft.sqlserver.jdbc.SQLServerDriver while deploying google connector for database

By : Hugo Faria
Date : March 29 2020, 07:55 AM
I hope this helps . When you run the adaptor - is your JAR file in the same directory as your database adaptor JAR file?
If you are using the Google provided command line, be sure to modify the "classpath" to reference the JAR file for the ODBC driver.
code :

Offset Management - Confluent JDBC Connector in query mode

By : Albert
Date : March 29 2020, 07:55 AM
Does that help You can do both - you can still set the timestamp and incrementing mode in addition to the query. it will simply add a where statement based on timestamp.column.name and/or incrementing.column.name field. You can even use a subquery if your query needs a where statement
As an example you could set your query to: select * from (select apples from tree where color = green) as subquery
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