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Safe Harbor StatementThe following is intended to outline our general product direction. It is intended forinformation purpose only, and may not be incorporated into any contract. It is not acommitment to deliver any material, code, or functionality, and should not be relied up inmaking purchasing decisions. The development, release and timing of any features orfunctionality described for Oracle's product remains at the sole discretion of Oracle.
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about.me/lefred
Qui suis-je ?
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Frdric [email protected] MySQLBidouille MySQL depuis la version 3.23devops croyant et praticantMySQL Community Manager depuis mai2016
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SGDB & MySQL
Base de donnes Relationnelles
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Bases de donnes RelationnellesIntgrit des donnes
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Bases de donnes RelationnellesIntgrit des donnes
normalization
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Bases de donnes RelationnellesIntgrit des donnes
normalizationcontraintes (cls trangres, ...)
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Bases de donnes RelationnellesIntgrit des donnes
normalizationcontraintes (cls trangres, ...)
Atomicit, Cohrence, Isolarion et Durabilit - ACID
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Bases de donnes RelationnellesIntgrit des donnes
normalizationcontraintes (cls trangres, ...)
Atomicit, Cohrence, Isolarion et Durabilit - ACIDtransactions
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Bases de donnes RelationnellesIntgrit des donnes
normalizationcontraintes (cls trangres, ...)
Atomicit, Cohrence, Isolarion et Durabilit - ACIDtransactions
SQL
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Bases de donnes RelationnellesIntgrit des donnes
normalizationcontraintes (cls trangres, ...)
Atomicit, Cohrence, Isolarion et Durabilit - ACIDtransactions
SQLpuissant language de requtes
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SGDB & MySQL
Base de donnes NoSQL
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NoSQL ou Document StoreSans schma
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NoSQL ou Document StoreSans schma
pas de design de schmas, pas de normalization, de cls trangres, decontraintes, de type de donnes (data types), etc...
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NoSQL ou Document StoreSans schma
pas de design de schmas, pas de normalization, de cls trangres, decontraintes, de type de donnes (data types), etc...dvelopement initial trs rapide
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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NoSQL ou Document StoreSans schma
pas de design de schmas, pas de normalization, de cls trangres, decontraintes, de type de donnes (data types), etc...dvelopement initial trs rapide
Structures flexibles des donnes
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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NoSQL ou Document StoreSans schma
pas de design de schmas, pas de normalization, de cls trangres, decontraintes, de type de donnes (data types), etc...dvelopement initial trs rapide
Structures flexibles des donnesobjets et tableaux imbriqus
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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NoSQL ou Document StoreSans schma
pas de design de schmas, pas de normalization, de cls trangres, decontraintes, de type de donnes (data types), etc...dvelopement initial trs rapide
Structures flexibles des donnesobjets et tableaux imbriquscertaines donnes sont simplement naturellement non structures et nepeuvent tre modlises de faon optimale dans un modle relationel
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NoSQL ou Document StoreSans schma
pas de design de schmas, pas de normalization, de cls trangres, decontraintes, de type de donnes (data types), etc...dvelopement initial trs rapide
Structures flexibles des donnesobjets et tableaux imbriquscertaines donnes sont simplement naturellement non structures et nepeuvent tre modlises de faon optimale dans un modle relationelpersistence des objets sans utilisation d'un ORM (mapping objet-relationnel)
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NoSQL ou Document Store (2)JSON
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NoSQL ou Document Store (2)JSON
proche du frontend
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NoSQL ou Document Store (2)JSON
proche du frontend"natif " en Javascript
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NoSQL ou Document Store (2)JSON
proche du frontend"natif " en Javascriptutilis en Node.js
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NoSQL ou Document Store (2)JSON
proche du frontend"natif " en Javascriptutilis en Node.js
Aprentissage facile, et facile utiliser
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Les challenges actuelsles dveloppeurs veulent avancer plus rapidement
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Les challenges actuelsles dveloppeurs veulent avancer plus rapidementle dlai de mise en production est un cot suprieur
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Les challenges actuelsles dveloppeurs veulent avancer plus rapidementle dlai de mise en production est un cot suprieurrapidit de cration de prototypes, itrations rapides, ...
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Avantages de SQL et de NoSQL
NoSQL SQL
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Et donc, Bases de donnes Relationnelles ou Document Store ??
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Et donc, Bases de donnes Relationnelles ou Document Store ??
Pourquoi pas les deux ?
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Quelles sont les tapes ?
NoSQL avec MySQL
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Faire de MySQL un Document Store
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Faire de MySQL un Document Store1. support de JSON datatype
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Faire de MySQL un Document Store1. support de JSON datatype2. CRUD Operations
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Faire de MySQL un Document Store1. support de JSON datatype2. CRUD Operations3. X Plugin
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Faire de MySQL un Document Store1. support de JSON datatype2. CRUD Operations3. X Plugin4. X protocol & MySQL Shell
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MySQL 5.7
Support de JSON
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Support JSONType natif de donnes (native datatype)
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQL
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSON
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSONFunctions de manipulation du JSON
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSONFunctions de manipulation du JSON
extraire (JSON_EXTRACT, JSON_KEYS, ...)
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSONFunctions de manipulation du JSON
extraire (JSON_EXTRACT, JSON_KEYS, ...)inpecter (JSON_CONTAINS, ...)
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSONFunctions de manipulation du JSON
extraire (JSON_EXTRACT, JSON_KEYS, ...)inpecter (JSON_CONTAINS, ...)modifier (JSON_SET, JSON_INSERT, JSON_REMOVE, ...)
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSONFunctions de manipulation du JSON
extraire (JSON_EXTRACT, JSON_KEYS, ...)inpecter (JSON_CONTAINS, ...)modifier (JSON_SET, JSON_INSERT, JSON_REMOVE, ...)cration de tableaux et d'objets (JSON_ARRAY, JSON_OBJECT)
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSONType natif de donnes (native datatype)Valeurs en JSON stockes dans des tables MySQLFormat de stokage JSON en binaire (UTF8MB4)Conversion partir des types SQL "natifs" vers des valeurs JSONFunctions de manipulation du JSON
extraire (JSON_EXTRACT, JSON_KEYS, ...)inpecter (JSON_CONTAINS, ...)modifier (JSON_SET, JSON_INSERT, JSON_REMOVE, ...)cration de tableaux et d'objets (JSON_ARRAY, JSON_OBJECT)recherche d'objets (JSON_SEARCH)
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSON (2)Inline SQL JSON path expressions
SELECT doc->'$.object.array[0].item' FROM some_table
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Support JSON (2)Inline SQL JSON path expressions
SELECT doc->'$.object.array[0].item' FROM some_table
Oprateurs boolens (comparaison de valeurs JSON, ...)
foo = doc->'$.eld'
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Support JSON (3)
le meilleur pour la fin...
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Support JSON (3)
le meilleur pour la fin...
Colonnes Gnres/Virtuelles (generated/virtual columns)
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Support JSON (3)
le meilleur pour la fin...
Colonnes Gnres/Virtuelles (generated/virtual columns)Index de donnes JSON
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Support JSON (3)
le meilleur pour la fin...
Colonnes Gnres/Virtuelles (generated/virtual columns)Index de donnes JSONCls trangres vers donnes JSON
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSON (3)
le meilleur pour la fin...
Colonnes Gnres/Virtuelles (generated/virtual columns)Index de donnes JSONCls trangres vers donnes JSONVues SQL pour des donnes JSON
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Support JSON (3)
le meilleur pour la fin...
Colonnes Gnres/Virtuelles (generated/virtual columns)Index de donnes JSONCls trangres vers donnes JSONVues SQL pour des donnes JSON
ALTER TABLE test_features ADD COLUMN street VARCHAR(30) GENERATED ALWAYS AS (json_unquote(json_extract(`feature`,'$.properties.STREET'))) VIRTUAL;
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Document Store
Oprations CRUD
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Oprations CRUDCreate, Read, Update et Delete (CRUD) sont les 4 oprations qui peuvent tre excutessur une collection (Document Store Schema) ou une table.
CREATE - collection.add()
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Oprations CRUD (2)
READ - collection.find()
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Oprations CRUD (3)
UPDATE - collection.modify()
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Oprations CRUD (4)
DELETE - collection.remove()
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Document Store
X Plugin
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X PluginPlugin du serveur MySQL qui active la communication en utilisant le X Protocol.
Ce pluging:
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X PluginPlugin du serveur MySQL qui active la communication en utilisant le X Protocol.
Ce pluging:
supporte les clients ayant implment le X DevAPI
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X PluginPlugin du serveur MySQL qui active la communication en utilisant le X Protocol.
Ce pluging:
supporte les clients ayant implment le X DevAPItransforme MySQL en Document Store.
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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X PluginPlugin du serveur MySQL qui active la communication en utilisant le X Protocol.
Ce pluging:
supporte les clients ayant implment le X DevAPItransforme MySQL en Document Store.
mysql> INSTALL PLUGIN mysqlx SONAME "mysqlx.so"
ou
mysqlsh -u user --classic --dba enableXProtocol
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Document Store
X Protocol
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X ProtocolProtocole qui permet de communiquer avec un MySQL Server sur lequel X Plugin est activ.
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X ProtocolProtocole qui permet de communiquer avec un MySQL Server sur lequel X Plugin est activ.
Et donc le X Protocol permet deffectuer des oparations CRUD et SQL, lauthentificationvia SASL, le "streaming" (pipelining) des commandes.
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Document Store
The X DevAPI
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Oprations orientes Document via SQLTrs puissant
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Oprations orientes Document via SQLTrs puissantPermet la construction de requtes complexes
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Oprations orientes Document via SQLTrs puissantPermet la construction de requtes complexesMais... encore et toujours difficile utiliser pour les non initis
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Oprations orientes Document via SQLTrs puissantPermet la construction de requtes complexesMais... encore et toujours difficile utiliser pour les non initis
CREATE TABLE product ( id VARCHAR(32) GENERATED ALWAYS AS (JSON_EXTRACT(doc, '$.id')) STORED, doc JSON);INSERT INTO product VALUYES (1, '{...}');SELECT * FROM product WHERE JSON_EXTRACT(doc, '$.eld') = value;
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The X DevAPIAbstraction au-dessus de SQL
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The X DevAPIAbstraction au-dessus de SQLAx sur 4 oprations CRUD de base (Create, Read, Update, Delete)
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The X DevAPIAbstraction au-dessus de SQLAx sur 4 oprations CRUD de base (Create, Read, Update, Delete)Native Language API
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The X DevAPIAbstraction au-dessus de SQLAx sur 4 oprations CRUD de base (Create, Read, Update, Delete)Native Language APIPas ncessaire de connatre le SQL
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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The X DevAPIAbstraction au-dessus de SQLAx sur 4 oprations CRUD de base (Create, Read, Update, Delete)Native Language APIPas ncessaire de connatre le SQLX Protocol
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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The X DevAPIAbstraction au-dessus de SQLAx sur 4 oprations CRUD de base (Create, Read, Update, Delete)Native Language APIPas ncessaire de connatre le SQLX Protocol
les requtes CRUD sont encodes au niveau du protocol
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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Exemplemysql-py> mybooks.nd("Title LIKE 'Und%'")[ { "Authors": [ "Alexander Sasha Pachev", "Sasha Pachev" ], "ISBN-13": "9780596009571", "Language": "en", "Publisher": ""O'Reilly Media, Inc."", "Title": "Understanding MySQL Internals", "Year": "2007", "_id": "ce9fd5b762ffe6117055685b359e77d5" }]
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Exemplemysql-py> mybooks.nd("Title LIKE 'Und%'")[ { "Authors": [ "Alexander Sasha Pachev", "Sasha Pachev" ], "ISBN-13": "9780596009571", "Language": "en", "Publisher": ""O'Reilly Media, Inc."", "Title": "Understanding MySQL Internals", "Year": "2007", "_id": "ce9fd5b762ffe6117055685b359e77d5" }]
Et MySQL le transforme de manire transparente en:
SELECT doc FROM `books`.`mybooks` WHERE (JSON_UNQUOTE(JSON_EXTRACT(doc,'$.Title')) LIKE 'Und%');
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Document Store & X DevAPI & MySQL Shell
petite dmo ?
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Dmo (1)[[email protected] ~] $ mysqlsh --py Welcome to MySQL Shell 1.0.8-rc
Copyright (c) 2016, 2017, Oracle and/or its afliates. All rights reserved.
Oracle is a registered trademark of Oracle Corporation and/or itsafliates. Other names may be trademarks of their respectiveowners.
Type '\help', '\h' or '\?' for help, type '\quit' or '\q' to exit.
Currently in Python mode. Use \sql to switch to SQL mode and execute queries.mysql-py> \c [email protected] a Session to '[email protected]'Enter password: Node Session successfully established. No default schema selected.
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Dmo (2)mysql-py> db=session.create_schema("books")mysql-py> mybooks=db.create_collection('mybooks')
mysql-py> from isbntools.app import *
mysql-py> isbn=9781449314286mysql-py> doc=meta(str(isbn))mysql-py> doc["Annee"]=doc.pop("Year")mysql-py> mybooks.add(doc)Query OK, 1 item affected (0.10 sec)
mysql-py> isbn=9780596009571mysql-py> doc=meta(str(isbn))mysql-py> doc["Annee"]=doc.pop("Year")mysql-py> mybooks.add(doc)
mysql-py> isbn=9781430230571mysql-py> doc=meta(str(isbn))mysql-py> doc["Annee"]=doc.pop("Year")mysql-py> mybooks.add(doc)
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Dmo (3)mysql-py> mybooks.nd()[ { "Authors": [ "Baron Schwartz", "Peter Zaitsev", "Vadim Tkachenko" ], "ISBN-13": "9781449314286", "Language": "en", "Publisher": ""O'Reilly Media, Inc."", "Title": "High Performance MySQL", "Annee": "2012", "_id": "66f01d3762ffe6117055685b359e77d5" }, ...]3 documents in set (0.00 sec)
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Dmo (4)mysql-py> mybooks.nd("Title LIKE '%MySQL%'").elds(["Title","Annee"]).sort("Annee")[ { "Annee": "2007", "Title": "Understanding MySQL Internals" }, { "Annee": "2012", "Title": "High Performance MySQL" }]
mysql-py> mybooks.create_index("Annee_idx").eld("Annee","TEXT(4)", False).execute();
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Dmo (5)mysql> show create table books.mybooks\G *************************** 1. row *************************** Table: mybooksCreate Table: CREATE TABLE `mybooks` ( `doc` json DEFAULT NULL, `_id` varchar(32) GENERATED ALWAYS AS (json_unquote(json_extract(`doc`,'$._id'))) STORED NOT NULL, `$ix_t4_589943C550621CA4FF9A742745C76C955B6DDE8E` text GENERATED ALWAYS AS (json_unquote(json_extract(`doc`,'$.Annee'))) VIRTUAL, PRIMARY KEY (`_id`), KEY `Annee_idx` (`$ix_t4_589943C550621CA4FF9A742745C76C955B6DDE8E`(4))) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
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Merci
Des Questions ?
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