SQL Identity Column Gaps and Conversion in SQL Server, Oracle and PostgreSQL
Learn about identity column sequence gaps and changing an existing column to an identity column in SQL Server, Oracle and PostgreSQL.
2022-01-19
Learn about identity column sequence gaps and changing an existing column to an identity column in SQL Server, Oracle and PostgreSQL.
2022-01-19
In this article we look at how to use string functions to concatenate, replace, trim and get substrings in SQL Server, Oracle and PostgreSQL.
2021-10-25
In this article we demonstrate how to transfer data via a CSV file from a SQL Server database to a Pandas dataframe and then subset the dataframe in Python.
2021-09-03
In this article we look at using Window Functions in SQL Server, Oracle and PostgreSQL to see the differences and similarities of the syntax.
2021-04-19
While trying to get the information he needed out of various SQL, MySQL and Oracle environments, Michael finally got tired of endlessly flicking through reference manuals and having to work so hard just to formulate his queries. So he decided to build a cross-platform Query Template solution to make his life easier, and he even went as far as building a .NET control to be integrated into applications. He's been kind enough to share the control, and the theory behind it, with us.
2009-10-28
1,971 reads
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Let’s consider the following script that can be executed without any error on both SQL Sever and PostgreSQL. We define the table t1 in which we insert three records:
create table t1 (id int primary key, city varchar(50)); insert into t1 values (1, 'Rome'), (2, 'New York'), (3, NULL);If we execute the following query, how will the records be sorted in both environments?
select city from t1 order by city;See possible answers