Within this course, you’ll learn about how PostgreSQL creates and uses inverted indexes for JSON and natural language content. We will use various sources of data for our databases, including access to an online API and spidering its data and storing the data in a JSON column in PostgreSQL. Students will explore how full-text inverted indexes are structured. Students will build their own inverted indexes and then make use of PostgreSQL built-in capabilities to support full-text indexes.
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What You Will Learn
- Compare Python, PostgreSQL, and JSON.
- Index and retrieve natural language text and JSON data; access API data and store it in a database.
- Create a GIN-based text[] reverse index and ts_vector index; build a search engine in PostgreSQL.
Course 3 of 4 in the PostgreSQL for Everybody Specialization.
Syllabus
WEEK 1
Natural Language
In this first week, we introduce you to the course and its main focus: text and JSON.
WEEK 2
Inverted Indexes with PostgreSQL
In this week, we'll look at GIN-based inverted indexes and ts_vector() and ts_query() functions.
WEEK 3
Python and PostgreSQL
This week is all about connecting and comparing Python and PostgreSQL.
WEEK 4
JSON and PostgreSQL
In this final week, we'll focus primarily on JSON and its functions.
