Recursive SQL for querying hierarchical data: Part 2 – Levels and Ancestors

Ok, so you’ve stored hierarchical data in a relational database, and written recursive CTEs to query the data and find relationships. Now the application team wants to query hierarchical levels and print the complete ancestry tree. Time to deep dive into some advance CTE constructs.

This is the second post of the series about the Recursive SQL for querying hierarchical data started in the previous post . If you haven’t read it already, I recommend reading it to understand the key concepts:

  1. What is a hierarchical data?
  2. How to store hierarchical data in a relational database?
  3. And how to query hierarchical data using:
    • Self-Joins
    • Common Table Expressions (CTE)

In this post, we’ll discuss the advanced scenarios like displaying hierarchical levels and printing the “ancestry tree”. Let’s dive in…

Continue reading “Recursive SQL for querying hierarchical data: Part 2 – Levels and Ancestors”

Recursive SQL for querying hierarchical data: Part 1

Recently, I was working on an application that required reading hierarchically structured data. And I thought it might be useful to document multiple ways to store and query such hierarchical data (ex. Org. chart, File-system layout, or Set of tasks in a project) in a database. So, let’s jump right in.

Definitions first – what is hierarchical data?

Hierarchical data is a specific kind of data, characterized by a hierarchical relationship between the data sets.

Think about data sets having multiple levels: something above, something below, and a few at the same level. A typical example of such hierarchical model is an organizational chart like the one below.

Continue reading “Recursive SQL for querying hierarchical data: Part 1”

PostgreSQL – how to UPSERT (Update or Insert into a table)

Most modern-day relational database systems use SQL MERGE (also called UPSERT) statements to INSERT new records or UPDATE existing records if a matching row already exists. UPSERT is a combination of Insert and Update, driven by a “PRIMARY KEY” on the table.

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Why Averages suck and what make Percentiles great

Average(mean), median, mode are core statistical concepts, that are often applied in software engineering. Whether you are new to programming or have multi years of computer science experience, you’ve likely at some point in time will have used these statistical functions, say to calculate system resource utilization, or network traffic or a website latency. In my current role, my team is responsible for running a telemetry platform to help dev teams measure application performance. We do this by collecting point-in-time data points referred as metrics.

A common use case for metrics is to tell the application latency (i.e. amount of time it took between a user action and web app response to that action). For examples, amount of time it took you to click on twitter photo and till it finally showed up on your device screen. So if you have this metrics collected at regular intervals (say every 1s), you can simply average it over a period of time like an hour or a day to calculate latency. Simple right!

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2020 – My Year in Books 📚

I don’t think there has been a better year than 2020 to read. With most of us confined to our homes at some point during the year due to pandemic, books (and Netflix!) have become more popular than ever.

In this post, I’m reviewing all the books I have read in the year. Hopefully you’ll enjoy these quick reviews, plus I’ve also added a favorite quote from each.

In no particular order- let’s go!

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SQL Injection and Preventing them in your Golang app

SQL injection!… Is it really a thing?

SQL injection is a code injection technique that is capable of destroying your database. It is a code injection technique, used to attack data-driven applications, in which malicious SQL statements are inserted into an entry field for execution. (e.g. to dump the database contents to the attacker)

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Implementing transactions in PostgreSQL using Go lang database/sql package

Introduction

A transaction is a unit of work that you want to treat as “a whole.” It has to either happen in full or not at all. In Go lang, a transaction is essentially an object that reserves a connection to the database. You begin a transaction with a call to db.Begin() and close it with a commit() or rollback() method on the resulting Tx variable.

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The Unicorn Project – Book Review

A Novel about Developers, Digital Disruption, and Thriving in the Age of Data

Over a month ago, I read the book “The Phoenix Project” and published a review on my blog. The book was certainly amazing as it touched on so many important aspects of software development, DevOps and my own IT career. To my surprise, I found that the book also has a sequel The Unicorn Project.

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Querying rows from PostgreSQL from Go lang project

Introduction

In the last post Updating/Deleting rows with Go, we learned to manipulate rows in PostgreSQL database in Go project using database/sql package that ships with Go, along with github.com/lib/pq Postgres driver. In this post, we’ll learn how to query rows i.e. SELECT

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Updating and Deleting rows in PostgreSQL from Go lang project

Introduction

In the previous post Inserting records into a database with Go, we learned how to insert rows to PostgreSQL database from Go project using database/sql package that ships with Go, along with github.com/lib/pq Postgres driver. In this post, we’ll learn the remaining two DML (data manipulation language) operations i.e. UPDATE and DELETE.

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