![]() ![]() The above query will give you the exact results as using unnest in Postgres. Inner join books B ON NS.n <= REGEXP_COUNT(B.tags, ',') + 1 ![]() TRIM(SPLIT_PART(B.tags, ',', NS.n)) AS tag ![]() The solution (or workaround) is trying to split the string into multiple part: with NS AS ( In Postgres, we can immediately use unnest: select TRIM( UNNEST( STRING_TO_ARRAY(tags, ',') ) ) from books īut how do we do this in Amazon Redshift (that doesn't support unnest)? String to Array in Amazon Redshift Suppose we have a books table in Amazon Redshift that has these data: tags (varchar)Īnd we want to split/unnest/explode it so that it becomes like this tag Question - Splitting comma-delimited string into rows in Redshift Today, one of our customers came to us with a question - They were having problems unnesting a string/array into rows in Amazon Redshift. And from time to time they come to us with SQL question - that we thought would be interesting to share with others! OLE DB provider "MSDASQL" for linked server "REDSHIFT" returned message " Data source name not found and no default driver specified".We've worked with a lot of customers who writes SQL on a regular basis. The ODBC System DSN test works, but when I attempt to test the connection of the linked server itself in SSMS I get this message:Ĭannot initialize the data source object of OLE DB provider "MSDASQL" for linked server "REDSHIFT". Wednesday, Febru12:28:59 PM - Nazareth Berlanga OLE DB provider "MSDASQL" for linked server "REDSHIFTTEST" returned message " Data source name not found and no default driver specified". Same issue w/ michael and Yan, is there any solution on this?Ĭannot initialize the data source object of OLE DB provider "MSDASQL" for linked server "REDSHIFTTEST". You can check, and disable, tracing within Windows using the Tracing panel.Of information is recorded in the tracing file by the ODBC Manager. Ensure that ODBC Tracing is not enabled.If you experience problems with the performance of Connector/ODBC, or notice a largeĪmount of disk activity for simple queries, there are a number of aspects to check: The Connector/ODBC driver has been optimized to provide very fast performance. When converting DATE or TIMESTAMP to TIMESTAMPTZ,ĭATE or TIMESTAMP are assumed to use the current session time zone. If you compare numeric values with character strings, the numeric values areĬonverted to character strings. In general, data types that fall into the same type category (suchĪs different numeric data types) are compatible and can be implicitly converted. The results of these operations depend on type conversion rules and data typeĬompatibility. Running the script above, we can see the output in the screenshots below: OUTPUT Inserted.id, Inserted.first_name, Inserted.age VALUES (SUBSTRING(source.name, 0, CHARINDEX(' ',source.name)), DATEDIFF(yyyy, GETDATE(), source.birth)) UPDATE SET target.age = DATEDIFF(yyyy, GETDATE(), source.birth) SELECT T.id, T.first_name, T.last_name, T.ageįROM OPENQUERY(DEMO,'select id, name, birth from ') AS OQ INSERT INTO dbo.tb01 (first_name, last_name, age) VALUES ('douglas', 'correa', 36)ĮXEC('insert into values(1, ''douglas correa'', getdate() )') AT DEMOĮXEC('insert into values(2, ''renato silvestre'', getdate() )') AT DEMOĮXEC('delete from ') AT DEMO Type the product name and the data source will be the ODBC Data Source we.Select an OLE DB data source from the list box (in this case ODBC Drivers).Specify an OLE DB server type other than SQL Server.On the General Page, type the name of the instance of SQL Server that you.Right-click Linked Servers, and then click New Linked Server. In SQL Server Management Studio, open Object Explorer, expand Server Objects,.How to create a SQL Server Linked Server to Amazon Redshift To the Amazon Redshift database, you will see the following message: Connection Use the port that the cluster was configured to use when it was launched. By default, Amazon Redshift uses port 5439, but you should In the Amazon Redshift console on the cluster’s details page. Specify the endpoint for your Amazon Redshift cluster.
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