The number of images in web applications has been growing steadily in recent years. There is also a need to distinguish between images of different sizes, like thumbnails, web display images, and the like. For example, one application that I recently developed shows news items where each item has a thumbnail and main article image. Another app shows company logos in small and large sizes.
Perhaps you've heard that version 15 of Navicat's flagship product, Navicat Premium, was officially released on November 25th. It comes packed with numerous improvements and features to address all of your database development and administration needs. In addition to over 100 enhancements, Navicat includes several new features to give you more ways that ever to build, manage, and maintain your databases. In the last blog, we explored the Data Visualization feature. Today, we'll be taking a look at other improvements, including Data Transfer, Query Builder, Data Modeler and more!
Welcome to part 3 of this series on full-text indexing and searching in MySQL. In Part 1, we saw how MySQL provides full-text search capability via FULLTEXT indexing along with the three following distinct types of full-text searches:
- Natural Language Full-Text Searches
- Boolean Full-Text searches
- Query expansion searches
In Part 2, I described how to perform Natural Language full-text searches in Navicat for MySQL. Today's blog follows where part 2 left off and covers the next type of full-text searching: Boolean Full-Text searches.
November 25 is the official launching date for Navicat Premium 15. Currently, version 15 packs a wallop of new features and improvements, most notably in data transfers, the SQL Builder, and modeling. It also adds Data Visualization, Dark Mode and native Linux support. In today's blog we'll learn how the new Data Visualization feature helps us turn our database into visuals that provide valuable insights into our data through a wide variety of charts and graphs.
In Part 1, we saw how MySQL provides full-text search capability via FULLTEXT indexing along with three distinct types of full-text searches. In today's blog, we'll learn how to perform Natural Language full-text searches in Navicat for MySQL.
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