Oracle Code Roma: NoSQL + SQL = MySQL

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about me - http://about.me/lefred
Who am I ?
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Frédéric Descamps
@lefred
MySQL Evangelist
Hacking MySQL since 3.23
devops believer
living in Belgium 🇧🇪
http://lefred.be

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MySQL
a Document Store with all the benefits of a RDBMS
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Why ?
Developers don´t really like SQL

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Why ?
SQL can be complicated and slows down the initial development
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easy operations
What do developers want ?
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Use Objects / Documents
Developers want just to use objects
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that´s why they usually love what DBAs hate the most ORMs !).
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They want to deal with these objects easily (CRUD operations) and they don´t want to
think about schema design (slows down the initial development process).
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They want to deal with these objects easily (CRUD operations) and they don´t want to
think about schema design (slows down the initial development process).
But they also want to keep their data safe and use transactions.
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RDBMS & MySQL
Relational Databases
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Data Integrity
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Data Integrity
normalization
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Data Integrity
normalization
constraints (foreign keys, ...)
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Data Integrity
normalization
Atomicity, Consistency, Isolation, Durability
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Data Integrity
normalization
ACID compliant
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Data Integrity
normalization
ACID compliant
transactions
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Data Integrity
normalization
ACID compliant
transactions
SQL
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Data Integrity
normalization
ACID compliant
transactions
SQL
powerfull query language
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NoSQL & MySQL
NoSQL Databases
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NoSQL or Document Store
Schemaless
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Schemaless
no schema design, no normalization, no foreign keys, no data types, ...
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Schemaless
very quick initial development
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Schemaless
Flexible data structure
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Schemaless
embedded arrays or objects
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Schemaless
valid solution when natural data can´t be modelized optimaly into a relational
model
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Schemaless
model
objects persistance without the use of any ORM - mapping oobject-oriented
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Schemaless
model
JSON
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Schemaless
model
JSON
close to frontend
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Schemaless
model
JSON
close to frontend
native in JS
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Schemaless
model
JSON
close to frontend
native in JS
easy to learn
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How DBAs see data
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How DBAs see data How Developers see data
{
"GNP" : 249704,
"Name" : "Belgium",
"government" : {
"GovernmentForm" :
"Constitutional Monarchy, Federation",
"HeadOfState" : "Philippe I"
},
"_id" : "BEL",
"IndepYear" : 1830,
"demographics" : {
"Population" : 10239000,
"LifeExpectancy" : 77.8000030517578
},
"geography" : {
"Region" : "Western Europe",
"SurfaceArea" : 30518,
"Continent" : "Europe"
}
}
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What if there was a way to provide both SQL
and NoSQL on one stable platform that has
proven stability on well know technology with
a large Community and a diverse ecosystem ?
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DBMS or NoSQL ?
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DBMS or NoSQL ?
Why not both ?
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The MySQL Document Store !
SQL is now optional ?!
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SQL is now optional ?!
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Developers:
[x] schemaless
[x] rapid prototying/simpler APIs
[x] document model
[x] transactions
Operations:
[x] performance
management/visibility
[x] robust replication, backup,
restore
[x] comprehensive tooling
ecosystem
[x] simpler application schema
upgrades
Business Owner:
[x] don't lose my data == ACID trx
[x] capture all my data =
extensible/schemaless
[x] product on schedule/time to
market = rapid developement
A solution for all
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MySQL Document Store
the Solution
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Built on
the MySQL
JSON Data
type and
Proven
MySQL
Server
Technology
Provides a schema flexible JSON Document Store
No SQL required
No need to define all possible attributes, tables, etc.
Uses new X DevAPI
Can leverage generated column to extract JSON values
into materialized columns that can be indexed for fast
SQL searches.
Document can be ~1GB
It's a column in a row of a table
It cannot exceed max_allowed_packet
Allows use of modern programming styles
No more embedded strings of SQL in your code
Easy to read
Also works with relational Tables
Proven MySQL Technology
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X Protocol Connectors
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X DevAPI We provide connectors for
C++, Java, .Net, Node.js, Python, PHP
working with Communities to help them supporting
it too
New MySQL Shell
Command Completion
Python, JavaScrips & SQL modes
Admin functions
New Util object
A new high-level session concept that can scale from
single MySQL Server to a multiple server environment
Non-blocking, asynchronous calls follow common
language patterns
Supports CRUD operations
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PY
JS
SQL
>
MySQL 8.0
Upgrade Checker
Auto Completion
&
Command History
Output
Formats
(table, json, tabs)
Prompt
Themes
Batch
Execution
5.7
8.0
JS
Document
Store
X dev API
SQL CLI InnoDB
Cluster
importJSON
JSJS
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Migration from MongoDB to MySQL DS
For this example, I will use the well known restaurants collection:
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Migration from MongoDB to MySQL DS
For this example, I will use the well known restaurants collection:
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Let´s query
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Let´s query
That´s too much records to show it here... let´s limit it
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Some more examples
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Some more examples
Let´s add a selection criteria:
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Using IN...
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Syntax slightly different than MongoDB
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Syntax slightly different than MongoDB
> db.restaurants. nd({"cuisine": "French",
"borough": { $not: /^Manhattan/} },
{"_id":0, "name": 1,"cuisine": 1, "borough": 1}).limit(2)
{ "borough" : "Queens", "cuisine" : "French",
"name" : "La Baraka Restaurant" }
{ "borough" : "Queens", "cuisine" : "French",
"name" : "Air France Lounge" }
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And for developers ?
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$session = mysql_xdevapigetSession("mysqlx://fred:MyP@ssw0rd%@localhost");
$schema = $session->getSchema("docstore");
$collection = $schema->getCollection("restaurants");
$results = $collection-> nd($search)->execute()->fetchAll();
...
foreach ($results as $doc) {
echo "<tr><td><a href='?id=${doc[_id]}'>${doc[name]}</a></td>";
echo "<td>${doc[borough]}</td><td>${doc[cuisine]}</td></tr>";
}
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$session = mysql_xdevapigetSession("mysqlx://fred:MyP@ssw0rd%@localhost");
$schema = $session->getSchema("docstore");
$collection = $schema->getCollection("restaurants");
$results = $collection-> nd($search)->execute()->fetchAll();
...
foreach ($results as $doc) {
echo "<tr><td><a href='?id=${doc[_id]}'>${doc[name]}</a></td>";
echo "<td>${doc[borough]}</td><td>${doc[cuisine]}</td></tr>";
}

Easy, using only CRUD operations !
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CRUD operations
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CRUD operations for collections
Add a document
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Add a document
collection.add({ name: 'fred', age: 42 })
.add({ name: 'dave', age: 23 })
.execute()
collection.add([
{ name: 'dimo', age: 50 },
{ name: 'kenny', age: 25 }
]).execute()
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Modify a document
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Modify a document
collection.modify('name = :name')
.bind('name', 'fred')
.set('age', 43)
.sort('name ASC')
.limit(1)
.execute()
collection.modify('name = :name')
.patch({ age: 43, active: false })
.sort('name DESC')
.limit(1)
.execute()
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Remove a document
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Remove a document
collection.remove('name = :name')
.sort('age ASC')
.limit(1)
.execute()
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MySQL Document Store Objects Summary
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All you need to know is here:
https://dev.mysql.com/doc/x-devapi-userguide/en/crud-operations-overview.html
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we do care about your data
MySQL Document Store is Full ACID Compliant
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Document Store Full ACID !
It relies on the proven MySQL InnoDB´s strength & robustness:
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innodb_ ush_log_at_trx_commit = 1
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innodb_doublewrite = ON
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sync_binlog = 1
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sync_binlog = 1
transaction_isolation = REPEATABLE-READ|READ-
COMMITTED|...
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sync_binlog = 1
transaction_isolation = REPEATABLE-READ|READ-
COMMITTED|...
We do care about your data !
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MySQL DS Full ACID - Transactions support
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MySQL DS Full ACID - Transactions support
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OK we have Document Store, CRUD and ACID
but what makes MySQL Document Store unique ?
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Challenge: list the best restaurant of each type
of food and show the top 10, with the best one
first !

don't forget that all these restaurants are just JSON documents
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NoSQL as SQL - aggregation
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NoSQL or SQL
You have the possibility to write clean and neat code:
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NoSQL or SQL
$results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll();
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NoSQL or SQL
Or use SQL only when really needed:
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NoSQL or SQL
$results = $session->sql('WITH cte1 AS (SELECT doc->>"$.name" AS name,
doc->>"$.cuisine" AS cuisine,
(SELECT AVG(score) FROM JSON_TABLE(doc, "$.grades[*]" COLUMNS (score INT
PATH "$.score")) AS r) AS avg_score FROM docstore.restaurants)
SELECT *, RANK()
OVER ( PARTITION BY cuisine ORDER BY avg_score) AS `rank`
FROM cte1 ORDER BY `rank`, avg_score DESC LIMIT 10;')->execute();
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NoSQL or SQL
$results = $session->sql('WITH cte1 AS (SELECT doc->>"$.name" AS name,
doc->>"$.cuisine" AS cuisine,
(SELECT AVG(score) FROM JSON_TABLE(doc, "$.grades[*]" COLUMNS (score INT
PATH "$.score")) AS r) AS avg_score FROM docstore.restaurants)
SELECT *, RANK()
OVER ( PARTITION BY cuisine ORDER BY avg_score) AS `rank`
FROM cte1 ORDER BY `rank`, avg_score DESC LIMIT 10;')->execute();
All in the same MySQL X Session !
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MySQL Shell is for DBAs and Developers

DEMO
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what do I gain ?
Conclusion
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schemaless
flexible data structure
easy to start (CRUD)
Conclusion
This is the best of the two worlds in one product !
Data integrity
ACID Compliant
Transactions
SQL
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http://lefred.be/content/top-10-reasons-for-
nosql-with-mysql/
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May 9th, 2019
Hotel NH Collection Roma
Giustiniano
Via Virgilio, 1 E/F/G, 0019
ROMA
MySQL Day Roma
You are invited to listen last news on MySQL
8.0, watch demos and be in contact with the
MySQL Italian Team!
http://bit.ly/MySQLDayRoma2019
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Thank you !
Any Questions ?
share your 💕 for MySQL on social media using @mysql #MySQL8isGreat
#MySQL
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Oracle Code Roma: NoSQL + SQL = MySQL

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