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12-Dec-2016 12:09

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To create a gap, delete employee record from the #Employee table with id = 2 by the following script: RESULT: Now let us run the example 1’s approach 1 and 2 script on #Employee table which is having gap in the Id column value (i.e. From the above result it is clear that the example 1’s approach 1 and 2 script will not work in the scenarios where we have gap in the looping tables column values.

This problem can solved in multiple ways, below are two such example approaches. Approach 1: Looping through table records where looping column has gaps in the value RESULT: Now let us run the example 2’s approach 1 and 2 script on #Employee table which is having duplicate Id column values (i.e.

Quite often folks are confused about the potential of breaking relational fundamentals such as the First Normal Form or the scalar nature of typed values.

(Talking about 1NF violations in a language like SQL which lacks sufficient domain support, allows NULLs and supports duplicates is somewhat ironic to begin with, but that is a topic which requires detailed explanations.) By ‘Concatenating row values’ we mean this: You have a table, view or result that looks like this……and you wish to have a resultset like the one below: In this example we are accessing the sample North Wind database and using the following SQL The objective is to return a resultset with two columns, one with the Category Identifier, and the other with a concatenated list of all the Product Names separated by a delimiting character: such as a comma.

Let’s start by glancing at the syntax portion of the Books Online T-SQL Merge Page. Notice how I keep using the word entity rather than table, and the reason is that the Target and Source could be many SQL Server objects such as Tables, Temp Tables, Views, Table Variables, or even Common Table Expressions.

I’ll take the liberty of re-posting just the first 25% or so below. The Source could also be a complete Select statement as well.

Many a time, SQL programmers are faced with a requirement to generate report-like resultsets directly from a Transact SQL query.

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If it is switched off during the whole test, the results are about 20% better for Derby. According to the documentation, this setting should be used for testing only, as the database may not recover after a crash. The memory usage number is incorrect, because only the memory usage of the JDBC driver is measured. But many use cases use small or relatively small transactions.

A simple, and intuitive way of displaying data is surprisingly difficult to achieve.

Anith Sen gives a summary of different ways, and offers words of caution over the one you choose.

Version 1.4.177 (2014-04-12) was used for the test.

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For most operations, the performance of H2 is about the same as for HSQLDB. Derby is clearly the slowest embedded database in this test.

One situation where H2 is slow is large result sets, because they are buffered to disk if more than a certain number of records are returned. This seems to be a structural problem, because all operations are really slow.