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Oracle Code Roma: NoSQL + SQL = MySQL

The document provides an overview of the MySQL Document Store, which allows for schemaless storage of documents as JSON objects in MySQL tables. Key points include: - It uses the MySQL JSON data type and existing MySQL server technology to provide a flexible document model while retaining features like ACID transactions and SQL support. - Documents can be over 1GB in size and stored as columns in rows. - The X DevAPI provides language connectors for easy CRUD operations on document collections without using SQL. - This allows a document-oriented model with the reliability, tools, and ecosystem of MySQL.

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  Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purpose only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied up in making purchasing decisions. The development, release and timing of any features or functionality described for Oracle´s product remains at the sole discretion of Oracle. Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 3 / 100
about me - http://about.me/lefred Who am I ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 4 / 100
Frédéric Descamps @lefred MySQL Evangelist Hacking MySQL since 3.23 devops believer living in Belgium 🇧🇪 http://lefred.be   Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 5 / 100
MySQL a Document Store with all the benefits of a RDBMS Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 6 / 100
Why ? Developers don´t really like SQL   Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 7 / 100
Why ? SQL can be complicated and slows down the initial development Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 8 / 100
easy operations What do developers want ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 9 / 100
Use Objects / Documents Developers want just to use objects Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 10 / 100
Use Objects / Documents Developers want just to use objects that´s why they usually love what DBAs hate the most ORMs !). Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 11 / 100
Use Objects / Documents Developers want just to use objects that´s why they usually love what DBAs hate the most ORMs !). 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). Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 12 / 100
Use Objects / Documents Developers want just to use objects that´s why they usually love what DBAs hate the most ORMs !). 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. Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 13 / 100
RDBMS & MySQL Relational Databases Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 14 / 100
Relational Databases Data Integrity Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 15 / 100
Relational Databases Data Integrity normalization Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 16 / 100
Relational Databases Data Integrity normalization constraints (foreign keys, ...) Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 17 / 100
Relational Databases Data Integrity normalization constraints (foreign keys, ...) Atomicity, Consistency, Isolation, Durability Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 18 / 100
Relational Databases Data Integrity normalization constraints (foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 19 / 100
Relational Databases Data Integrity normalization constraints (foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant transactions Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 20 / 100
Relational Databases Data Integrity normalization constraints (foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant transactions SQL Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 21 / 100
Relational Databases Data Integrity normalization constraints (foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant transactions SQL powerfull query language Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 22 / 100
NoSQL & MySQL NoSQL Databases Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 23 / 100
NoSQL or Document Store Schemaless Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 24 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 25 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 26 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 27 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 28 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 29 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 30 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 31 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON close to frontend Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 32 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON close to frontend native in JS Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 33 / 100
NoSQL or Document Store Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON close to frontend native in JS easy to learn Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 34 / 100
How DBAs see data Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 35 / 100
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" } } Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 36 / 100
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 ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 37 / 100
DBMS or NoSQL ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 38 / 100
DBMS or NoSQL ? Why not both ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 39 / 100
The MySQL Document Store ! SQL is now optional ?! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 40 / 100
SQL is now optional ?! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 41 / 100
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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 42 / 100
MySQL Document Store the Solution Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 43 / 100
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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 44 / 100
X Protocol Connectors Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 45 / 100
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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 46 / 100
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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 47 / 100
Migration from MongoDB to MySQL DS For this example, I will use the well known restaurants collection: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 48 / 100
Migration from MongoDB to MySQL DS For this example, I will use the well known restaurants collection: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 49 / 100
Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 50 / 100
Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 51 / 100
Let´s query Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 52 / 100
Let´s query That´s too much records to show it here... let´s limit it Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 53 / 100
Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 54 / 100
Some more examples Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 55 / 100
Some more examples Let´s add a selection criteria: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 56 / 100
Using IN... Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 57 / 100
Syntax slightly different than MongoDB Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 58 / 100
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" } Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 59 / 100
And for developers ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 60 / 100
And for developers ? $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>"; } Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 61 / 100
And for developers ? $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 ! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 62 / 100
CRUD operations Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 63 / 100
CRUD operations for collections Add a document Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 64 / 100
CRUD operations for collections 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() Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 65 / 100
CRUD operations for collections Modify a document Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 66 / 100
CRUD operations for collections Modify a document collection.modify('name = :name') .bind('name', 'fred') .set('age', 43) .sort('name ASC') .limit(1) .execute() collection.modify('name = :name') .bind('name', 'fred') .patch({ age: 43, active: false }) .sort('name DESC') .limit(1) .execute() Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 67 / 100
CRUD operations for collections Remove a document Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 68 / 100
CRUD operations for collections Remove a document collection.remove('name = :name') .bind('name', 'fred') .sort('age ASC') .limit(1) .execute() Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 69 / 100
MySQL Document Store Objects Summary Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 70 / 100
All you need to know is here: https://dev.mysql.com/doc/x-devapi-userguide/en/crud-operations-overview.html Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 71 / 100
we do care about your data MySQL Document Store is Full ACID Compliant Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 72 / 100
Document Store Full ACID ! It relies on the proven MySQL InnoDB´s strength & robustness: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 73 / 100
Document Store Full ACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 74 / 100
Document Store Full ACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 75 / 100
Document Store Full ACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON sync_binlog = 1 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 76 / 100
Document Store Full ACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON sync_binlog = 1 transaction_isolation = REPEATABLE-READ|READ- COMMITTED|... Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 77 / 100
Document Store Full ACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON sync_binlog = 1 transaction_isolation = REPEATABLE-READ|READ- COMMITTED|... We do care about your data ! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 78 / 100
MySQL DS Full ACID - Transactions support Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 79 / 100
MySQL DS Full ACID - Transactions support Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 80 / 100
OK we have Document Store, CRUD and ACID but what makes MySQL Document Store unique ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 81 / 100
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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 82 / 100
NoSQL as SQL - aggregation Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 83 / 100
NoSQL as SQL - aggregation Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 84 / 100
NoSQL as SQL - aggregation Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 85 / 100
NoSQL or SQL You have the possibility to write clean and neat code: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 86 / 100
NoSQL or SQL You have the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 87 / 100
NoSQL or SQL You have the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Or use SQL only when really needed: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 88 / 100
NoSQL or SQL You have the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Or use SQL only when really needed: $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(); Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 89 / 100
NoSQL or SQL You have the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Or use SQL only when really needed: $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 ! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 90 / 100
MySQL Shell is for DBAs and Developers     DEMO Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 91 / 100
what do I gain ? Conclusion Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 92 / 100
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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 93 / 100
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Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 95 / 100
http://lefred.be/content/top-10-reasons-for- nosql-with-mysql/ Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 96 / 100
Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 97 / 100
  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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 98 / 100
Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 99 / 100
Thank you ! Any Questions ? share your 💕 for MySQL on social media using @mysql #MySQL8isGreat #MySQL Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 100 / 100

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Oracle Code Roma: NoSQL + SQL = MySQL

  • 1.
  • 2.
    2 / 1002/ 100
  • 3.
      Safe Harbor Statement Thefollowing is intended to outline our general product direction. It is intended for information purpose only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied up in making purchasing decisions. The development, release and timing of any features or functionality described for Oracle´s product remains at the sole discretion of Oracle. Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 3 / 100
  • 4.
    about me -http://about.me/lefred Who am I ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 4 / 100
  • 5.
    Frédéric Descamps @lefred MySQL Evangelist HackingMySQL since 3.23 devops believer living in Belgium 🇧🇪 http://lefred.be   Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 5 / 100
  • 6.
    MySQL a Document Storewith all the benefits of a RDBMS Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 6 / 100
  • 7.
    Why ? Developers don´treally like SQL   Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 7 / 100
  • 8.
    Why ? SQL canbe complicated and slows down the initial development Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 8 / 100
  • 9.
    easy operations What dodevelopers want ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 9 / 100
  • 10.
    Use Objects /Documents Developers want just to use objects Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 10 / 100
  • 11.
    Use Objects /Documents Developers want just to use objects that´s why they usually love what DBAs hate the most ORMs !). Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 11 / 100
  • 12.
    Use Objects /Documents Developers want just to use objects that´s why they usually love what DBAs hate the most ORMs !). 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). Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 12 / 100
  • 13.
    Use Objects /Documents Developers want just to use objects that´s why they usually love what DBAs hate the most ORMs !). 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. Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 13 / 100
  • 14.
    RDBMS & MySQL RelationalDatabases Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 14 / 100
  • 15.
    Relational Databases Data Integrity Copyright@ 2019 Oracle and/or its affiliates. All rights reserved. 15 / 100
  • 16.
    Relational Databases Data Integrity normalization Copyright@ 2019 Oracle and/or its affiliates. All rights reserved. 16 / 100
  • 17.
    Relational Databases Data Integrity normalization constraints(foreign keys, ...) Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 17 / 100
  • 18.
    Relational Databases Data Integrity normalization constraints(foreign keys, ...) Atomicity, Consistency, Isolation, Durability Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 18 / 100
  • 19.
    Relational Databases Data Integrity normalization constraints(foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 19 / 100
  • 20.
    Relational Databases Data Integrity normalization constraints(foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant transactions Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 20 / 100
  • 21.
    Relational Databases Data Integrity normalization constraints(foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant transactions SQL Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 21 / 100
  • 22.
    Relational Databases Data Integrity normalization constraints(foreign keys, ...) Atomicity, Consistency, Isolation, Durability ACID compliant transactions SQL powerfull query language Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 22 / 100
  • 23.
    NoSQL & MySQL NoSQLDatabases Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 23 / 100
  • 24.
    NoSQL or DocumentStore Schemaless Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 24 / 100
  • 25.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 25 / 100
  • 26.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 26 / 100
  • 27.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 27 / 100
  • 28.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 28 / 100
  • 29.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 29 / 100
  • 30.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 30 / 100
  • 31.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 31 / 100
  • 32.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON close to frontend Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 32 / 100
  • 33.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON close to frontend native in JS Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 33 / 100
  • 34.
    NoSQL or DocumentStore Schemaless no schema design, no normalization, no foreign keys, no data types, ... very quick initial development Flexible data structure embedded arrays or objects valid solution when natural data can´t be modelized optimaly into a relational model objects persistance without the use of any ORM - mapping oobject-oriented JSON close to frontend native in JS easy to learn Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 34 / 100
  • 35.
    How DBAs seedata Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 35 / 100
  • 36.
    How DBAs seedata 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" } } Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 36 / 100
  • 37.
    What if therewas 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 ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 37 / 100
  • 38.
    DBMS or NoSQL? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 38 / 100
  • 39.
    DBMS or NoSQL? Why not both ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 39 / 100
  • 40.
    The MySQL DocumentStore ! SQL is now optional ?! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 40 / 100
  • 41.
    SQL is nowoptional ?! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 41 / 100
  • 42.
    Developers: [x] schemaless [x] rapidprototying/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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 42 / 100
  • 43.
    MySQL Document Store theSolution Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 43 / 100
  • 44.
    Built on the MySQL JSONData 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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 44 / 100
  • 45.
    X Protocol Connectors Copyright@ 2019 Oracle and/or its affiliates. All rights reserved. 45 / 100
  • 46.
    X DevAPI Weprovide 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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 46 / 100
  • 47.
    PY JS SQL > MySQL 8.0 Upgrade Checker AutoCompletion & 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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 47 / 100
  • 48.
    Migration from MongoDBto MySQL DS For this example, I will use the well known restaurants collection: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 48 / 100
  • 49.
    Migration from MongoDBto MySQL DS For this example, I will use the well known restaurants collection: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 49 / 100
  • 50.
    Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 50 / 100
  • 51.
    Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 51 / 100
  • 52.
    Let´s query Copyright @2019 Oracle and/or its affiliates. All rights reserved. 52 / 100
  • 53.
    Let´s query That´s toomuch records to show it here... let´s limit it Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 53 / 100
  • 54.
    Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 54 / 100
  • 55.
    Some more examples Copyright@ 2019 Oracle and/or its affiliates. All rights reserved. 55 / 100
  • 56.
    Some more examples Let´sadd a selection criteria: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 56 / 100
  • 57.
    Using IN... Copyright @2019 Oracle and/or its affiliates. All rights reserved. 57 / 100
  • 58.
    Syntax slightly differentthan MongoDB Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 58 / 100
  • 59.
    Syntax slightly differentthan 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" } Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 59 / 100
  • 60.
    And for developers? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 60 / 100
  • 61.
    And for developers? $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>"; } Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 61 / 100
  • 62.
    And for developers? $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 ! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 62 / 100
  • 63.
    CRUD operations Copyright @2019 Oracle and/or its affiliates. All rights reserved. 63 / 100
  • 64.
    CRUD operations forcollections Add a document Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 64 / 100
  • 65.
    CRUD operations forcollections 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() Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 65 / 100
  • 66.
    CRUD operations forcollections Modify a document Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 66 / 100
  • 67.
    CRUD operations forcollections Modify a document collection.modify('name = :name') .bind('name', 'fred') .set('age', 43) .sort('name ASC') .limit(1) .execute() collection.modify('name = :name') .bind('name', 'fred') .patch({ age: 43, active: false }) .sort('name DESC') .limit(1) .execute() Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 67 / 100
  • 68.
    CRUD operations forcollections Remove a document Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 68 / 100
  • 69.
    CRUD operations forcollections Remove a document collection.remove('name = :name') .bind('name', 'fred') .sort('age ASC') .limit(1) .execute() Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 69 / 100
  • 70.
    MySQL Document StoreObjects Summary Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 70 / 100
  • 71.
    All you needto know is here: https://dev.mysql.com/doc/x-devapi-userguide/en/crud-operations-overview.html Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 71 / 100
  • 72.
    we do careabout your data MySQL Document Store is Full ACID Compliant Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 72 / 100
  • 73.
    Document Store FullACID ! It relies on the proven MySQL InnoDB´s strength & robustness: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 73 / 100
  • 74.
    Document Store FullACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 74 / 100
  • 75.
    Document Store FullACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 75 / 100
  • 76.
    Document Store FullACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON sync_binlog = 1 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 76 / 100
  • 77.
    Document Store FullACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON sync_binlog = 1 transaction_isolation = REPEATABLE-READ|READ- COMMITTED|... Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 77 / 100
  • 78.
    Document Store FullACID ! It relies on the proven MySQL InnoDB´s strength & robustness: innodb_ ush_log_at_trx_commit = 1 innodb_doublewrite = ON sync_binlog = 1 transaction_isolation = REPEATABLE-READ|READ- COMMITTED|... We do care about your data ! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 78 / 100
  • 79.
    MySQL DS FullACID - Transactions support Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 79 / 100
  • 80.
    MySQL DS FullACID - Transactions support Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 80 / 100
  • 81.
    OK we haveDocument Store, CRUD and ACID but what makes MySQL Document Store unique ? Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 81 / 100
  • 82.
    Challenge: list thebest 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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 82 / 100
  • 83.
    NoSQL as SQL- aggregation Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 83 / 100
  • 84.
    NoSQL as SQL- aggregation Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 84 / 100
  • 85.
    NoSQL as SQL- aggregation Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 85 / 100
  • 86.
    NoSQL or SQL Youhave the possibility to write clean and neat code: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 86 / 100
  • 87.
    NoSQL or SQL Youhave the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 87 / 100
  • 88.
    NoSQL or SQL Youhave the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Or use SQL only when really needed: Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 88 / 100
  • 89.
    NoSQL or SQL Youhave the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Or use SQL only when really needed: $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(); Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 89 / 100
  • 90.
    NoSQL or SQL Youhave the possibility to write clean and neat code: $results = $collection-> nd('cuisine like "italian"')->execute()->fetchAll(); Or use SQL only when really needed: $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 ! Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 90 / 100
  • 91.
    MySQL Shell isfor DBAs and Developers     DEMO Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 91 / 100
  • 92.
    what do Igain ? Conclusion Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 92 / 100
  • 93.
    schemaless flexible data structure easyto start (CRUD) Conclusion This is the best of the two worlds in one product ! Data integrity ACID Compliant Transactions SQL Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 93 / 100
  • 94.
  • 95.
    Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 95 / 100
  • 96.
    http://lefred.be/content/top-10-reasons-for- nosql-with-mysql/ Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 96 / 100
  • 97.
    Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 97 / 100
  • 98.
      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 Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 98 / 100
  • 99.
    Copyright @ 2019Oracle and/or its affiliates. All rights reserved. 99 / 100
  • 100.
    Thank you ! AnyQuestions ? share your 💕 for MySQL on social media using @mysql #MySQL8isGreat #MySQL Copyright @ 2019 Oracle and/or its affiliates. All rights reserved. 100 / 100