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Functions for Manipulating Data in PostgreSQL

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

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4 Hours13 Videos50 Exercises22,737 Learners4200 XPSQL Fundamentals Track

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Course Description

This course will provide you an understanding of how to use built-in PostgreSQL functions in your SQL queries to manipulate different types of data including strings, character, numeric and date/time. We'll travel back to a time where Blockbuster video stores were on every corner and if you wanted to watch a movie, you actually had to leave your house to rent a DVD! You'll also get an introduction into the robust full-text search capabilities which provides a powerful tool for indexing and matching keywords in a PostgreSQL document. And finally, you'll learn how to extend these features by using PostgreSQL extensions.

  1. 1

    Overview of Common Data Types

    Free

    Learn about the properties and characteristics of common data types including strings, numerics and arrays and how to retrieve information about your database.

    Play Chapter Now
    Welcome!
    50 xp
    Text data types
    50 xp
    Getting information about your database
    100 xp
    Determining data types
    100 xp
    Date and time data types
    50 xp
    Properties of date and time data types
    50 xp
    Interval data types
    100 xp
    Working with ARRAYs
    50 xp
    Accessing data in an ARRAY
    100 xp
    Searching an ARRAY with ANY
    100 xp
    Searching an ARRAY with @>
    100 xp
  2. 2

    Working with DATE/TIME Functions and Operators

    Explore how to manipulate and query date and time objects including how to use the current timestamp in your queries, extract subfields from existing date and time fields and what to expect when you perform date and time arithmetic.

    Play Chapter Now
    Overview of basic arithmetic operators
    50 xp
    Adding and subtracting date and time values
    100 xp
    INTERVAL arithmetic
    100 xp
    Calculating the expected return date
    100 xp
    Functions for retrieving current date/time
    50 xp
    Current timestamp functions
    50 xp
    Working with the current date and time
    100 xp
    Manipulating the current date and time
    100 xp
    Extracting and transforming date/ time data
    50 xp
    Using EXTRACT
    100 xp
    Using DATE_TRUNC
    100 xp
    Putting it all together
    100 xp
  3. 3

    Parsing and Manipulating Text

    Learn how to manipulate string and text data by transforming case, parsing and truncating text and extracting substrings from larger strings.

    Play Chapter Now
    Reformatting string and character data
    50 xp
    Concatenating strings
    100 xp
    Changing the case of string data
    100 xp
    Replacing string data
    100 xp
    Parsing string and character data
    50 xp
    Determining the length of strings
    100 xp
    Truncating strings
    100 xp
    Extracting substrings from text data
    100 xp
    Combining functions for string manipulation
    100 xp
    Truncating and padding string data
    50 xp
    Padding
    100 xp
    The TRIM function
    100 xp
    Putting it all together
    100 xp
  4. 4

    Full-text Search and PostgresSQL Extensions

    An introduction into some more advanced capabilities of PostgreSQL like full-text search and extensions.

    Play Chapter Now
    Introduction to full-text search
    50 xp
    A review of the LIKE operator
    100 xp
    What is a tsvector?
    100 xp
    Basic full-text search
    100 xp
    Extending PostgreSQL
    50 xp
    User-defined data types
    100 xp
    Getting info about user-defined data types
    100 xp
    User-defined functions in Sakila
    100 xp
    Intro to PostgreSQL extensions
    50 xp
    Enabling extensions
    100 xp
    Measuring similarity between two strings
    100 xp
    Levenshtein distance examples
    100 xp
    Putting it all together
    100 xp
    Wrap Up
    50 xp

In the following tracks

SQL Fundamentals

Datasets

Sakila schema

Collaborators

ml3648Marianna Lamnina

Prerequisites

Intermediate SQL
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Brian Piccolo

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