( 'Ruby programming language', 'DDH sales Ruby, but could you buy it?'), ( 'Java in a nutshell', 'Learn Java in 21 days'), ( 'Sales crash course', 'Yet another course on Sales'), ( 'The crash course of Data Science', 'Be a data scientist in 5 weeks'), ( 'Mathematics: a gentle introduction', 'Numbers are easy'), ( 'Natural Sciences the easy way', 'Your guide to understand the world'), ( 'Law 101', 'Have you ever wondered doing some Law?'), ( 'Intro to Computer Science', 'Understant how computers work'), ( 'Improve your sales skills', 'A complete course that will help you to improve your sales skills'), Next, we will populate the table with some dummy data: INSERT INTO courses (title, description) VALUES Those columns will be our "searchable" columns in which we will perform a text search against: CREATE TABLE courses ![]() Let's create a table called courses containing only a title and description columns. In order to explain further the fundamentals of textual search, relevance and results ranking, we have to seed our database with real data and compare different search strategies. In this guide, I'll focus on a simpler yet powerful example using only SQL, so if you want to follow me in this adventure, make sure you have PostgreSQL installed. Then back to 2014 I wrote this article explaining the reasons why I decided to experiment on PG text search as well as showing a practical example in a Ruby application. It requires a lot of patience and memory □. However, managing ElasticSearch deployment is not easy. It's really worth reading, I could get many insights, since I was already using PostgreSQL as my standard database.īy the time, I was comfortable using ElasticSearch for text searching (and if we go even before that back to 2009, I have experience using Apache Lucene, from which ElasticSearch is based on). Context mattersĪ bunch of years ago I read this awesome blogpost called "Postgres full-text search is good enough". WHERE query document OR similarity > 0 ORDER BY rank_title, rank_description, similarity DESC NULLS LASTīut if you need to understand what the heck is the above SQL statement doing, let me explain you a bit of context and FTS (Full-text search) fundamentals in PostgreSQL. SIMILARITY( 'sales', courses.title || scription) similarity NULLIF(ts_rank(to_tsvector(scription), query), 0) rank_description, NULLIF(ts_rank(to_tsvector(courses.title), query), 0) rank_title, To_tsvector(courses.title || scription) document, Spoiler alert: for those curious people looking for a "okay, just show me a full-text search with ranking and fuzzy search in Postgres in less than 20 lines", so here you go: SELECT Please let me know if you have additional questions.This blogpost will guide you to understand the fundamental pieces needed to implement a good enough full-text search using PostgreSQL. You can work with CSS by providing your server's name, which was accidently deleted, and they will restore it at the back end for you. What are the rules for a successful restore process of a deleted server for PostgreSQL - Flexible Server in cases when a support ticket is raised? It will be also announced here when available or in preview. I have checked internally and that is on the way and will be available very soon. Do you plan to introduce a similar solution for PostgreSQL Flexible Server? I also noticed that for Azure Database for MySQL - Flexible Server, it is possible to use Azure API to restore such a deleted server. We can offer you a free one-time support ticket. ![]() Please let me know if you don't have a support plan. The only way to do restore will be at the back end by creating a support ticket as you have mentioned above. It's possible, but it will depend on the backup retention in the backend please keep in mind that this is past 5 days then it is not supported. My understanding is that you are trying to restore an accidently deleted server on Azure PostgreSQL Flexible Server. Salamon, Tomasz Thank you for reaching out.
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