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SQL for Data Analytics

You're reading from  SQL for Data Analytics

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Pages 386 pages
Edition 1st Edition
Languages
Authors (3):
Upom Malik Upom Malik
Profile icon Upom Malik
Matt Goldwasser Matt Goldwasser
Profile icon Matt Goldwasser
Benjamin Johnston Benjamin Johnston
Profile icon Benjamin Johnston
View More author details

Table of Contents (11) Chapters

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics 3. SQL for Data Preparation 4. Aggregate Functions for Data Analysis 5. Window Functions for Data Analysis 6. Importing and Exporting Data 7. Analytics Using Complex Data Types 8. Performant SQL 9. Using SQL to Uncover the Truth – a Case Study Appendix

7. Analytics Using Complex Data Types

Activity 9: Sales Search and Analysis

Solution

  1. First, create the materialized view on the customer_sales table:
    CREATE MATERIALIZED VIEW customer_search AS (
        SELECT 
            customer_json -> 'customer_id' AS customer_id,
            customer_json,
            to_tsvector('english', customer_json) AS search_vector
        FROM customer_sales
    );
  2. Create the GIN index on the view:
    CREATE INDEX customer_search_gin_idx ON customer_search USING GIN(search_vector);
  3. We can solve the request by using our new searchable database:
    SELECT
        customer_id,
        customer_json
    FROM customer_search 
    WHERE search_vector @@ plainto_tsquery('english', 'Danny Bat');

    This results in eight matching rows:

    Figure 7.29: Resulting...
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