Scripts

Technical Article

Function and Queries to Convert Hierarchical Adjacency to Nested Json Arrays

This script converts hierarchical adjacency into nested json rows which contain the recursive "downlines" of each node.  The table-valued function treats each row in the original adjacency as the root node in a recursive common table expression. 

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2019-11-25 (first published: )

798 reads

Technical Article

Create a view to Alter a Table and Add three Columns

I am teaching a database class at Queens College. The project entails the truncation of all of the data and loading new data into the  existing database "BIClass" from a single of the flattened data. One of the tasks of the project was to add these three additional columns to each of the tables (AlterTableAddColumnsUserAuthorizationKeyAndTwoTimeStamps): […]

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2019-11-18 (first published: )

1,014 reads

Technical Article

Function and Queries to Convert Hierarchical Adjacency to Nested Json Arrays

This script converts hierarchical adjacency into nested json rows which contain the recursive "downlines" of each node.  The table-valued function treats each row in the original adjacency as the root node in a recursive common table expression. 

You rated this post out of 5. Change rating

2019-11-12 (first published: )

2,078 reads

Technical Article

sp_PerfSQ

A diagnostic tool for identifying Performance features of active SQL Queries. It collects performance detail from DMVs for queries with executing requests and is designed to demonstrate and quantify Query Shaping optimisation techniques by: quantifying query workload and throughput characteristics providing behavioural descriptors of potential performance inhibitors - refer column ThrottlePotential The ThrottlePotential column is […]

(3)

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2019-11-07

4,181 reads

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Question of the Day

The string_agg function

We create the following table and then insert some records in it:

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL?
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

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