Working with Data Arrays in PostgreSQL

Working with Data Arrays in PostgreSQL

2hAdvanced2024-03-15

Authors

Adam Wilbert

Adam Wilbert

Data Visualization Expert

Course details

Data arrays are an important storage construct in programming, and PostgreSQL is one of the few relational database platforms that has built-in support for arrays. Join database expert Adam Wilbert for this deep dive course into PostgreSQL’s support for the array data format. Learn about data arrays in PostgreSQL. Go over examples of when array data is useful and examine the tools available for incorporating data arrays into your PostgreSQL databases. Explore useful built-in functions, and finish the course with a culmination challenge and solution so that you can practice what you’ve learned.

Skills covered

PostgreSQLData EngineeringDatabase DevelopmentDatabase ManagementData ScienceOpen SourceSoftware DevelopmentOne-Off

Concepts

Introduction

  • Leverage array data in PostgreSQL
  • What you should know

Getting Started with Arrays

  • What are data arrays
  • Create a table to store array elements
  • The ARRAY constructor and INSERT syntax
  • Challenge - Store array data in PostgreSQL
  • Solution - Store array data in PostgreSQL

Querying Array Columns

  • Select a single array element
  • Select a range of values with array slices
  • Slicing multidimensional arrays
  • Locate values with the ANY() function
  • Expand arrays with UNNEST() and GENERATE SUBSCRIPT()
  • Challenge - Query array data
  • Solution - Query array data

Modify the Data Stored in an Array

  • Updating array values
  • Prepending or appending arrays
  • Concatenating arrays
  • Replace and remove elements

Useful Array Functions

  • Determine the position of a value in an array
  • Comparing two arrays with operators
  • Output array values to a string
  • Work with randomized array elements
  • Collect single values into an array
  • Challenge - Applying array functions
  • Solution - Applying array functions

Analysis Project - River Height Monitoring

  • Set up the river height monitoring table
  • Counting elements
  • Isolate elements
  • Compare values
  • Select a range of elements

Conclusion

  • Next steps
40,000 Toman