Doc store presentation at MYSQL User camp 11 Oct 2018 by Sankalita Chakraborty

1. MySQL Document Store
Sankalita Chakraborty
Senior Member Technical Staff
sankalita.chakraborty@oracle.com
11th
October 2018

2. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
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3. Introduction
●
●
Alternative way using the MySQL Database.
●
Allows Users to work with
➔
SQL relational tables
➔
Schema-less JSON collections using CRUD Operation
●
Key features
➔
Flexibility of a NoSQL Database
➔
Consistency of a RDBMS
➔
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4. What is a Document ?
●
Set of key value pairs
●
Schema-less
●
Data Structure capable of representing complex information
●
Examples of Documents
➔
JSON
➔
XML
➔
YAML
●
Reasons for using JSON
➔
Compact, Popular and Standardized
➔
Natively available in Python, Javascript etc
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5. Document Store Architecture
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6. MySQL Document Store –Components
●
MySQL Shell/Connectors
➔
Interactive Shell allowing execution of CRUD operation
➔
Provides DevAPI and Standard API support in Specific Languages
●
X Dev API
➔
New, standard APIs for CRUD and SQL operations on top of X Protocol
➔
Introduces Collections as new Schema object.
●
X Protocol
➔
New MySQL client protocol on top of TCP layer
➔
Uses Protobuf
➔
Works for both CRUD and SQL operations
●
X Plugin
➔
Enables the communication using X Protocol for relational and document operations
➔
Maps CRUD operation to tables
➔
Supports clients that implement X DevAPI and enables use of MySQL as a document
store.
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7. MySQL Document Store Flowchart
●
Application generates XPlugin requests using Connector DevAPIs
●
Requests are transported to the XPugin via XProtocol
●
XPlugin generates SQL queries corresponding to the requests
●
Collections are stored as InnoDB tables
●
ACID Compliance, transactions, replications, row locking all work as normal
MySQL
Application
(DevAPI)
XPlugin MySQL(Innodb)Xprotocol (TCP)
Xplugin Requests SQL Queries
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8. Document Store DevAPI
●
Set of APIs which enable the usage of MySQL Document store .
●
They are implemented as Native Language APIs by specific Connectors.
●
Abstracts the Relational DataBase aspect
➔
Developer can write queries and DB code directly in Net, Java, Python,
NodeJS, C++
➔
Developer deals directly with Collections as opposed to Table, columns,
schema etc
●
They implement CRUD methods to insert, query, modify and delete JSON documents
●
Relational table support is provided.
●
Simplified Indexes for indexing document fields.
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9. JSON Indexing
JSON columns cannot be indexed directly.
Generated columns allow indexing on specific values in JSON documents.
➔ Create a virtual column on the value
➔ Create an index in on the virtual column
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10. Collection ADD Function
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11. Collection FIND Function
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12. Collection MODIFY Function
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13. Collection REMOVE Function
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14. Examples of CRUD Operation
(using C/JAVA)
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15. Create collection
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16. Insert Data
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17. Find JSON document
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18. Modify JSON document
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19. Remove JSON document
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20. Demo of CRUD Operation
(using C/JAVA)
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21. ✔ Schemaless or/and Schema
✔ Rapid Prototyping/Simpler APIs
✔ Document Model
✔ Transactions
✔ ACID Properties
Conclusion
MySQL Document Store allows both schema-less and schema in the same technology stack.
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