Mid September, MySQL Community, MySQL Customers and MySQL Engineers will be in San Francisco to share their experience and present the new features of your favorite database !

The event will be held in Moscone South (just Mirko Ortensi‘s Hands-on Lab will be delivered in Moscone West).

During the week, the MySQL Community Team will host the traditional MySQL Reception. We got so great feedback from last year that we decided to renew the experience in the same awesome location, the Samovar Tea Lounge at Yerba Buena Gardens. Don’t forget that you need to register for this reception but no OOW pass is required. Please register here !

Back to the conference, you can find the full schedule for the session in the …

Multi-Valued Indexes are going to change the way you think about using JSON data and the way you architect your data. Before MySQL 8.0.17 you could store data in JSON arrays but trying to search on that data in those embedded arrays was tricky and usually required a full table scan.  But now it is easy and very quick to search and to access the data in JSON arrays.
Multi-Valued IndexesA Multi-Valued Index (MVI) is a secondary index defined on a column made up of an array of values.  We are all used to traditional indexes where you have one value per index entry, a 1:1 ratio.  A MVI can have multiple records for each index record.  So you can have multiple postal codes, phone numbers, or other attributes from one JSON document indexed for quick access. See Multi-Valued Indexes for details.

…

The ability to import data in parallel is now a feature of the new MySQL Shell.  And you can run it from a command line instead of from within an interactive shell.

How Does It Work?
The importTable utility, new on MySQL Shell 8.0.17,  analyzes the input file, divides that file into chunks, and then uploads that data using parallel connections.  This is much faster than the LOAD DATA statement. You get the ability to define how the data is delimited as far a field and lines are defined.  And it works on DOS CSVs, Unix CSVs, TSVs, and JSON if that JSON is in one document per line mode. You also can adjust the number of threads, number of bytes sent per each chunk, and the maximum rate of data transfer per thread so you can balance the load on the network and the speed of data …

JSON has become the standard document interchange format over the last several years.  MySQL 5.7 added a native JSON data type and it has been  greatly enhanced with version 8.0.  But many in the relational world have complained the the NoSQL approach does not allow you to have rigor on your data. That is to make sure an integer value is really an integer and within specified ranges or string of the proper length. And there was no way to make sure that email addresses are not listed under a combination of E-mail, e-mail, eMail, and eMAIL.  JSON is great for many things but traditional, normalized data was better for making certain that your data matched what was specified.

If only there was a way to enforce come rigor on JSON data! Or a way to annotate (pronounced 'document') your JSON data. Well there is. MySQL 8.0.17 has added the ability to validate JSON documents against a schema following the guidelines of the …

MySQL 8.0.17 adds three new functions to the JSON repertoire.  All three can take advantage of the new Multi-Value Index feature or can be used on JSON arrays.

JSON_CONTAINS(target, candiate[, path])
This function indicates with a 1 or 0 if a  candidate document is contained in the target document. The optional path argument lets you seek information in embedded documents.  And please note the 'haystack' is before the 'needle' for this function.

mysql> SELECT JSON_CONTAINS('{"Moe": 1, "Larry": 2}','{"Moe": 1}');
+------------------------------------------------------+
| JSON_CONTAINS('{"Moe": 1, "Larry": 2}','{"Moe": 1}') |
+------------------------------------------------------+
…

Presentation of some of the new features of MySQL 8.0.16 released on April 25, 2019

The world seems awash in unstructured, NoSQL data, mainly of the JSON variety.  While this has a great many benefits as far as data mutability and not being locked into a rigid structure there are some things missing that are common in the structured world of SQL databases.

What if there was a way to take this unstructured NoSQL JSON data and cast it, temporarily, into a structured table?  Then you could use all the processing functions and features found in a relation database on you data.  There is a way and it is the JSON_TABLE function.

JSON_TABLE
You can find the documentation for JSON_TABLE here  but there are some examples below that may make learning this valuable function easier than the simple RTFM.

I will be using the world_x dataset for the next example

If …

As you may have noticed, MySQL 8.0.16 has been released today !

One of the major long expected feature is the support of CHECK contraints .

My colleague, Dave Stokes, already posted an article explaining how this works.

In this post, I wanted to show how we could take advantage of this new feature to validate JSON values.

Let’s take the following example:

So we have a collection of documents representing rates from a user on some episodes. Now, I expect that the value for the rating should be between 0 and …

MySQL 8.0 provides another way to handle JSON documents, actually in a "Not only SQL" (NoSQL) approach... In other words, if you need/want to manage JSON documents (collections) in a non-relational manner, with CRUD (acronym for Create/Read/Update/Delete) operations then you can use MySQL 8.0! Did you know that?

MySQL User camp is one of the prestigious MySQL meetup happening in India for the past 6 years. Mydbops DBA’s PonSuresh and Vignesh has presented about the “JSON functions and their improvements in MySQL 8.0” at MySQL User Camp Bangalore on 13-02-2019.

JSON has been more improved a lot in MySQL 8.0 and improvements in LOB storage of MySQL boost it performance further. This presentation covers the JSON performance enhancements in MySQL 8.0 with its basic functions.

JSON improvements in MySQL 8.0 from Mydbops