MySQL 8.0, what's new ? - Forum PHP 2018

1. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |Copyright © 2018, Oracle and/or its affiliates. All rights reserved. Olivier Dasini MySQL Principal Solutions Architect EMEA olivier.dasini@oracle.com Twitter : @freshdaz Blog : http://dasini.net/blog What’s New in MySQL 8.0 ?

2. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes 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 upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

3. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Me, Myself & I  MySQL Geek  Addicted to MySQL for 15+ years!  Playing with databases for 20+ years  MySQL Writer, Blogger and Speaker  Also former : DBA, Consultant, Architect, Trainer, ...  MySQL Principal Solutions Architect EMEA at Oracle  Stay tuned! :  Twitter: @freshdaz  Blog: http://dasini.net/blog 3 Olivier DASINI

4. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | DaDay Pay Parisris 4 Migration to MySQL 8.0 https://bit.ly/2PkjP6Phttps://bit.ly/2PkjP6P MySQL Document Store High Availability MySQL Security JSON InnoDB Cluster

14. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Our Server Usability Guidelines 15 « As well adding new features, our goal in the server team is to make MySQL easier to use. We try to design features with the goal of making a net improvement on usability. »

15. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Continuous Innovation: 5.7 -> 8.0 16 - 3x Better Performance - Replication Enhancements - Optimizer Cost Model - JSON Support - Improved Security - Sys & Performance Schema - GIS MySQL 5.7 (GA) MySQL InnoDB Cluster (GA) - MySQL Group Replication - MySQL Router - MySQL Shell MySQL 8.0 (GA) - NoSQL Document Store - JSON - New Data Dictionary - Roles - Unicode - CTEs - Window Functions - Improved Security - Improved Replication - Improved GIS - Histograms - Resource Group - ... 2 Years in Development 400+ Worklogs 5000+ Bugs Fixed 500 New Tests GA

16. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Scalable & Stable Better handling of high contention, improved security, and minimizing downtime Data Driven Optimizing services with real time data analysis Developer First Hybrid data model and data access APIs for flexibility for developers Mobile Friendly Ready for location based services. Handling Emoji and Unicode characters 17 24x7at Scale 8.0 Enables Modern Web Applications

18. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 19 8.0 Features for Devs • MySQL JSON Document Store • New JSON functions • Utf8mb4 as default character • Common Table Expressions • Window functions • SKIP LOCKED & NOWAIT • Functional indexes • Function or expression as default value

19. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Document Store An easy, straight forward way to work with JSON documents in MySQL https://mysqlserverteam.com/mysql-8-0-announcing-ga-of-the-mysql-document-store/ 20 NoSQL + SQL = MySQL

20. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Document Oriented Databases • Schemaless: No centralized database schema – Data model enforcement and validation (if any) at application layer – Simpler schema updates (no ALTER TABLE penalty) • NoSQL APIs: Simpler programming interfaces – No specialized language for queries and data manipulation – Complex queries handled at application layer (no complex SELECTs, JOINs) – Document in, document out, manipulations at client side • Scalability, but some drawbacks: – Limited database features (no foreign keys, no transactions, etc.) – Weak consistency guarantees 21 Usability & Scalability

21. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | - A One Stop Shop • Expensive to manage many data stores • Better few databases – more flexibility – More developers • Can harness both NoSQL and SQL savvy – More DBAs • No shortage of highly experienced MySQL DBAs – Less training – don’t need to learn many products – Cross data store exchange – easier to move from from docs to tables etc. – One connector/driver needed for apps 22 Combining Relational and Document Stores

22. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | NoSQL, MySQL, Why not… • Have both schema-less AND schema in the same technology stack? • One that checks all the boxes of all stakeholders: 23 Developers: [✔] Schemaless or/and Schema [✔] Rapid Prototyping/Simpler APIs [✔] Document Model [✔] Transactions Operations: [✔] Performance Management/Visibility [✔] Robust Replication, Backup, Restore [✔] Comprehensive Tooling Ecosystem [✔] Simpler application schema upgrades Business Owner: [✔] Don’t lose my data = ACID transactions [✔] Capture all my data = Extensible/Schemaless [✔] Products On Schedule/Time to Market = Rapid Development

23. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 24 NoSQL JSON Documents Schemaless JSON Collections MySQL Relational Tables Foreign Keys X Dev API SQL CRUD MySQL Document Store

24. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • MySQL X Plugin • Introduces X Protocol for relational- and document operations • Maps CRUD operations to standard SQL (relational tables, JSON datatype and functions) • X Protocol • New MySQL client protocol based on top of industry standard (Protobuf) • Works for both, CRUD and SQL operations • InnoDB Cluster • Read-Scaling, Write-Scaling, HA • X DevAPI • New, modern, async developer API for CRUD and SQL operations on top of X Protocol • Introduces Collections as new Schema obj. • MySQL Shell • Offers interactive X DevAPI mode for app prototyping • MySQL Connectors • Support for X DevAPI for • JavaScript, Python, PHP, Java, C#, C++ 25 Document Store: Components

26. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Document Store SQL is now optional! Write applications using X DevAPI 27 https://insidemysql.com/mysql-document-store-crud-quick-start/

27. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 28 Welcome to the X DevAPI! https://insidemysql.com/mysql-8-0-welcome-to-the-devapi/ 28 Motivation • We are doing something that has not been done before • Document databases exist! Relational databases exist! • We even see databases that support relational and document querying over the same data set • However we have yet to see a relational database include a document model so that a user can use document objects alongside their existing relational data. MySQL X devAPI connector for: • Java – https://insidemysql.com/connector-j-8-0-11-the-face-for-your-brand-new-document-oriented-database/ • .NET – https://insidemysql.com/introducing-connector-net-with-full-support-for-mysql-8-0/ • Node.JS – https://insidemysql.com/introducing-connector-node-js-for-mysql-8-0/ • C++ – https://insidemysql.com/what-is-new-in-connector-c-8-0/ • Python – https://insidemysql.com/using-mysql-connector-python-8-0-with-mysql-8-0/ • PHP – https://insidemysql.com/introducing-the-mysql-x-devapi-php-extension-for-mysql-8-0/ • ODBC – https://insidemysql.com/what-is-new-in-connector-odbc-8-0/

28. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 29 Welcome to the X DevAPI! - PHP Example 29 Writing a program using MySQL 8.0 Document Store $user = 'my_user'; $passwd = 's0S3kR*T'; $host = 'localhost'; $port = '33060'; $connection_uri = 'mysqlx://'.$user.':'.$passwd.'@'.$host.':'.$port; $session = mysql_xdevapigetSession($connection_uri); $schema = $session->getSchema("test"); $collection = $schema->getCollection("my_collection"); $result = $collection->find("Name like :param")->bind(["param" => "Olivier"])->execute(); $docs = $result->fetchAll(); //… print results … $session->close(); Requirements / Installation https://dev.mysql.com/doc/apis-php/en/apis-php-mysql-xdevapi.setup.html https://insidemysql.com/introducing-the-mysql-x-devapi-php-extension-for-mysql-8-0/

29. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 30 Welcome to the X DevAPI! - Python Example https://insidemysql.com/using-mysql-connector-python-8-0-with-mysql-8-0/ 30 Writing a program using MySQL 8.0 Document Store import mysqlx session = mysqlx.get_session({ "host": "localhost", "port": 33060, "user": "my_user", "password": "s0S3kR*T" }) schema = session.get_schema("test") collection = schema.get_collection("my_collection") result = collection.find("name like :param").bind("param", "Olivier").limit(1).execute() docs = result.fetch_all() print("Name: {0}".format(docs[0]["name"])) session.close() Connector/Python 8.0 installation shell> pip install mysql-connector-python

30. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 31 js> session.createSchema('demo') js> use demo js> db.getCollections() js> db.createCollection('myCollection') js> db.getCollections() js> db.myCollection.add({"param1":"value1", "param2":"value2"}) js> db.myCollection.find() js> db.myCollection.find().limit(1) js> db.myCollection.find("_id = '00005af018430000000000000002'") js> db.myCollection.modify("_id = '1234'").set("param","value") js> db.myCollection.remove("_id = '1234'") js> session.startTransaction() js> … js> session.rollback() js> db.myCollection.createIndex("ageIdx",{fields:[{"field":"$.age","type":"INT",required:false}]}) Copyright @ 2018 Oracle and/or its affiliates. All rights reserved. MySQL Document Store “cheat sheet” CCreate RRead UUpdate DDelete Index TTransaction

31. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Shell • DevOps Tool – Designed for DevOps operations • Scripting for Javascript, Python, and SQL mode – Rapid prototyping capabilities • InnoDB Cluster Support – Setup your HA solution within minutes • Supports MySQL Standard and X Protocols • Document and Relational Models – CRUD Document and Relational APIs via scripting • Traditional Table, JSON, Tab Separated output results formats • Both Interactive and Batch operations Interface for Development and Administration of MySQL 32

32. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Customizable prompt – Include context and session information • Custom font and color support • Persistent command line history • Auto-complete / Content Assistance • Full Unicode support 33 Shell: What’s New Get Started in Minutes

33. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | JSON Support • Native File Format – Standardized as ECMA-404 (http://json.org) – Binary Storage • Virtual Columns • 20+ Functions  Search Functions  Aggregations Functions • Query structured data and semi-structured JSON data 34

34. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: JSON datatype & Document Store API Hybrid APISQL FunctionData Type MySQL X DevAPIJSON FunctionsJSON Datatype Hybrid CRUD API of both SQL and NoSQL provides more flexibility for development Various SQL functions to search and modify JSON. Analysing JSON with SQL by converting into table with JSON_TABLE() Seamlessly managing “unstructured” data in RDBMS tables with efficient update performance { } (); 35

35. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 36 MySQL 5.7 and 8.0 JSON_ARRAY_APPEND() JSON_ARRAY_INSERT() JSON_ARRAY() JSON_CONTAINS_PATH() JSON_CONTAINS() JSON_DEPTH() JSON_EXTRACT() JSON_INSERT() JSON_KEYS() JSON_LENGTH() JSON_MERGE[_PRESERVE]() JSON_OBJECT() JSON_QUOTE() JSON_REMOVE() JSON_REPLACE() JSON_SEARCH() JSON_SET() JSON_TYPE() JSON_UNQUOTE() JSON_VALID() JSON_PRETTY() JSON_STORAGE_SIZE() JSON_STORAGE_FREE() JSON_ARRAYAGG() JSON_OBJECTAGG() JSON_MERGE_PATCH() JSON_TABLE() https://mysqlserverteam.com/mysql-8-0-from-sql-tables-to-json-documents-and-back-again/ JSON Functions

36. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 37 JSON_PRETTY – Improve readability SELECT doc FROM countryinfo WHERE _id='FRA'G ********************* 1. row ********************* doc: {"GNP": 1424285, "_id": "FRA", "Name": "France", "IndepYear": 843, "geography": {"Region": "Western Europe", "Continent": "Europe", "SurfaceArea": 551500}, "government": {"HeadOfState": "Jacques Chirac", "GovernmentForm": "Republic"}, "demographics": {"Population": 59225700, "LifeExpectancy": 78.80000305175781}} JSON Functions examples http://dasini.net/blog/2018/07/23/30-mins-with-mysql-json-functions/ SELECT JSON_PRETTY(doc) FROM countryinfo WHERE _id='FRA'G **************************** 1. row **************************** JSON_PRETTY(doc): { "GNP": 1424285, "_id": "FRA", "Name": "France", "IndepYear": 843, "geography": { "Region": "Western Europe", "Continent": "Europe", "SurfaceArea": 551500 }, "government": { "HeadOfState": "Jacques Chirac", "GovernmentForm": "Republic" ...

37. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • JSON is NOT limited to CRUD, can also be used in complex queries • JSON_TABLE convert JSON into SQL table • Leverage existing SQL framework for aggregation 38 JSON Functions examples - JSON_TABLE

38. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 39 JSON_TABLE - Extract data from a JSON document & returns it as a relational table having the specified columns SELECT GNP, Name, LifeExpectancy FROM countryinfo, JSON_TABLE(doc, "$" COLUMNS (GNP int PATH "$.GNP", Name char(255) PATH "$.Name", LifeExpectancy int PATH "$.demographics.LifeExpectancy")) AS jst WHERE _id IN ('FRA', 'USA'); +---------+---------------+----------------+ | GNP | Name | LifeExpectancy | +---------+---------------+----------------+ | 1424285 | France | 79 | | 8510700 | United States | 77 | +---------+---------------+----------------+ http://dasini.net/blog/2018/07/23/30-mins-with-mysql-json-functions/ JSON Functions examples - JSON_TABLE

39. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Emoji characters used as input • MySQL 8.0 defaults to utf8mb4 • Latest Unicode 9.0 Support • New collations based on DUCET, accent and case sensitive collations, Japanese, Russian 8.0: UTF8MB4 as default character set 40

40. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 1 2 4 8 16 32 64 128 256 512 1,024 0 100,000 200,000 300,000 400,000 500,000 600,000 700,000 800,000 900,000 1,000,000 MySQL 8.0 MySQL 5.7 MySQL 5.6 Users QueriesperSecond SysBench OLTP Read Only (Mixed - utf8mb4) MySQL 8.0 is 40% faster than MySQL 5.7 41 OS : Oracle Linux 7.4 CPU : 48cores-HT Intel Skylake 2.7Ghz (2CPU sockets, Intel(R) Xeon(R) Platinum 8168 CPU) RAM: 256GB Storage : x2 Intel Optane flash devices (Intel (R) Optane (TM) SSD P4800X Series)

41. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • « WITH queries » : named temporary result set that exists within the scope of a single statement – can be referred to later within that statement – possibly multiple times • Both Recursive and Non-Recursive Forms • Simplifies writing complex SQL 43 8.0 Common Table Expressions (CTE) WITH [RECURSIVE] cte_name [( <list of column names> )] AS ( Subquery <SELECT ...> ) [, <any number of other CTE definitions> ] <SELECT/UPDATE/DELETE statement> https://dev.mysql.com/doc/refman/8.0/en/with.html Boost Developer / Data Analyst Productivity

42. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Fibonacci number (10 firsts) 46 8.0 Common Table Expressions (CTE) WITH RECURSIVE Fibonacci (num, PrevN, N) AS ( SELECT 1, 0, 1 /* Anchor member */ UNION ALL SELECT num+1, N, PrevN + N /* Recursive member */ FROM Fibonacci WHERE N < 50 /* Stop condition */ ) SELECT num, PrevN as Fibonacci_Numbers FROM Fibonacci; +------+-------------------+ | num | Fibonacci_Numbers | +------+-------------------+ | 1 | 0 | | 2 | 1 | | 3 | 1 | | 4 | 2 | | 5 | 3 | | 6 | 5 | | 7 | 8 | | 8 | 13 | | 9 | 21 | | 10 | 34 | +------+-------------------+ https://en.wikipedia.org/wiki/Fibonacci_number

43. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Hierarchy Traversal with CTE 49 8.0 Common Table Expressions (CTE) SELECT * FROM cte.employees; +------+---------+------------+ | id | name | manager_id | +------+---------+------------+ | 29 | Pedro | 198 | | 72 | Pierre | 29 | | 123 | Adil | 692 | | 198 | John | 333 | | 333 | Yasmina | NULL | | 692 | Tarek | 333 | | 4610 | Sarah | 29 | +------+---------+------------+ WITH RECURSIVE emp_ext (ID, NAME, PATH) AS ( SELECT id, name, name FROM cte.employees WHERE manager_id IS NULL UNION ALL SELECT s.id, s.name, CONCAT(m.path, " <- ", s.name) FROM emp_ext m JOIN cte.employees s ON m.id=s.manager_id ) SELECT * FROM emp_ext ORDER BY path; +------+---------+------------------------------------+ | ID | NAME | PATH | +------+---------+------------------------------------+ | 333 | Yasmina | Yasmina | | 198 | John | Yasmina <- John | | 29 | Pedro | Yasmina <- John <- Pedro | | 72 | Pierre | Yasmina <- John <- Pedro <- Pierre | | 4610 | Sarah | Yasmina <- John <- Pedro <- Sarah | | 692 | Tarek | Yasmina <- Tarek | | 123 | Adil | Yasmina <- Tarek <- Adil | +------+---------+------------------------------------+

44. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Hierarchy Traversal with LEFT JOIN 51 8.0 Common Table Expressions (CTE) SELECT * FROM cte.employees; +------+---------+------------+ | id | name | manager_id | +------+---------+------------+ | 29 | Pedro | 198 | | 72 | Pierre | 29 | | 123 | Adil | 692 | | 198 | John | 333 | | 333 | Yasmina | NULL | | 692 | Tarek | 333 | | 4610 | Sarah | 29 | +------+---------+------------+ SELECT t1.id AS ID, t1.name AS NAME, CONCAT(t1.name, IFNULL(CONCAT(" -> ",t2.name), ""), IFNULL(CONCAT(" -> ",t3.name), ""), IFNULL(CONCAT(" -> ",t4.name), "")) AS PATH FROM cte.employees AS t1 LEFT JOIN cte.employees AS t2 ON t2.id = t1.manager_id LEFT JOIN cte.employees AS t3 ON t3.id = t2.manager_id LEFT JOIN cte.employees AS t4 ON t4.id = t3.manager_id WHERE t1.name IN (SELECT name FROM cte.employees) ORDER BY t4.name, t3.name, t2.name, t1.name; +------+---------+------------------------------------+ | ID | NAME | PATH | +------+---------+------------------------------------+ | 333 | Yasmina | Yasmina | | 198 | John | John -> Yasmina | | 692 | Tarek | Tarek -> Yasmina | | 29 | Pedro | Pedro -> John -> Yasmina | | 123 | Adil | Adil -> Tarek -> Yasmina | | 72 | Pierre | Pierre -> Pedro -> John -> Yasmina | | 4610 | Sarah | Sarah -> Pedro -> John -> Yasmina | +------+---------+------------------------------------+

46. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 53 8.0 Window Functions https://dev.mysql.com/doc/refman/8.0/en/window-functions.html • Frequently requested feature for data analysis like ranking of data • For each row from a query, perform a calculation using rows related to that row • Non-aggregate window functions that, for each row from a query, perform a calculation using rows related to that row – FIRST_VALUE(), LAST_VALUE(), RANK(), ROW_NUMBER(), ... – https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html • Group (aggregate) functions that operate on sets of values. – MAX(), MIN(), SUM(), AVG(), COUNT(), JSON_ARRAYAGG(), JSON_OBJECTAGG(), ... – https://dev.mysql.com/doc/refman/8.0/en/group-by-functions.html Improving Support for Analytics & Reporting

47. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 55 8.0 Window Functions SELECT ROW_NUMBER() OVER() AS `#`, year, country, product, profit FROM sales ORDER BY country, year, product, profit; • A window function performs an aggregate-like operation on a set of query rows. However, whereas an aggregate operation groups query rows into a single result row, a window function produces a result for each query row: – The row for which function evaluation occurs is called the current row – The query rows related to the current row over which function evaluation occurs comprise the window for the current row +----+------+---------+------------+--------+ | # | year | country | product | profit | +----+------+---------+------------+--------+ | 1 | 2000 | Finland | Computer | 1500 | | 2 | 2000 | Finland | Phone | 100 | | 3 | 2001 | Finland | Phone | 10 | | 4 | 2000 | India | Calculator | 75 | | 5 | 2000 | India | Calculator | 75 | | 6 | 2000 | India | Computer | 1200 | | 7 | 2000 | USA | Calculator | 75 | | 8 | 2000 | USA | Computer | 1500 | | 9 | 2001 | USA | Calculator | 50 | | 10 | 2001 | USA | Computer | 1200 | | 11 | 2001 | USA | Computer | 1500 | | 12 | 2001 | USA | TV | 100 | | 13 | 2001 | USA | TV | 150 | +----+------+---------+------------+--------+

48. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 56 8.0 Window Functions SELECT year, country, product, profit, SUM(profit) OVER() AS total_profit, SUM(profit) OVER(PARTITION BY country) AS country_profit FROM sales ORDER BY country, year, product, profit; • A window function performs an aggregate-like operation on a set of query rows. However, whereas an aggregate operation groups query rows into a single result row, a window function produces a result for each query row: – The row for which function evaluation occurs is called the current row – The query rows related to the current row over which function evaluation occurs comprise the window for the current row +------+---------+------------+--------+--------------+----------------+ | year | country | product | profit | total_profit | country_profit | +------+---------+------------+--------+--------------+----------------+ | 2000 | Finland | Computer | 1500 | 7535 | 1610 | | 2000 | Finland | Phone | 100 | 7535 | 1610 | | 2001 | Finland | Phone | 10 | 7535 | 1610 | | 2000 | India | Calculator | 75 | 7535 | 1350 | | 2000 | India | Calculator | 75 | 7535 | 1350 | | 2000 | India | Computer | 1200 | 7535 | 1350 | | 2000 | USA | Calculator | 75 | 7535 | 4575 | | 2000 | USA | Computer | 1500 | 7535 | 4575 | | 2001 | USA | Calculator | 50 | 7535 | 4575 | | 2001 | USA | Computer | 1200 | 7535 | 4575 | | 2001 | USA | Computer | 1500 | 7535 | 4575 | | 2001 | USA | TV | 100 | 7535 | 4575 | | 2001 | USA | TV | 150 | 7535 | 4575 | +------+---------+------------+--------+--------------+----------------+

49. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 57 8.0 Window Functions SELECT year, country, product, profit, SUM(profit) OVER() AS total_profit, SUM(profit) OVER(PARTITION BY country) AS country_profit FROM sales ORDER BY country, year, product, profit; +------+---------+------------+--------+--------------+----------------+ | year | country | product | profit | total_profit | country_profit | +------+---------+------------+--------+--------------+----------------+ | 2000 | Finland | Computer | 1500 | 7535 | 1610 | | 2000 | Finland | Phone | 100 | 7535 | 1610 | | 2001 | Finland | Phone | 10 | 7535 | 1610 | | 2000 | India | Calculator | 75 | 7535 | 1350 | | 2000 | India | Calculator | 75 | 7535 | 1350 | | 2000 | India | Computer | 1200 | 7535 | 1350 | | 2000 | USA | Calculator | 75 | 7535 | 4575 | | 2000 | USA | Computer | 1500 | 7535 | 4575 | | 2001 | USA | Calculator | 50 | 7535 | 4575 | | 2001 | USA | Computer | 1200 | 7535 | 4575 | | 2001 | USA | Computer | 1500 | 7535 | 4575 | | 2001 | USA | TV | 100 | 7535 | 4575 | | 2001 | USA | TV | 150 | 7535 | 4575 | +------+---------+------------+--------+--------------+----------------+ • A window function performs an aggregate-like operation on a set of query rows. However, whereas an aggregate operation groups query rows into a single result row, a window function produces a result for each query row: – The row for which function evaluation occurs is called the current row. – The query rows related to the current row over which function evaluation occurs comprise the window for the current row.

50. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 58 8.0 Window Functions SELECT year, country, product, profit, SUM(profit) OVER() AS total_profit, SUM(profit) OVER(PARTITION BY country) AS country_profit, SUM(profit) OVER(ORDER BY country, year ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulativ_sum FROM sales ORDER BY country, year, product, profit; • Cumulative sum +------+---------+------------+--------+--------------+----------------+---------------+ | year | country | product | profit | total_profit | country_profit | cumulativ_sum | +------+---------+------------+--------+--------------+----------------+---------------+ | 2000 | Finland | Computer | 1500 | 7535 | 1610 | 1500 | | 2000 | Finland | Phone | 100 | 7535 | 1610 | 1600 | | 2001 | Finland | Phone | 10 | 7535 | 1610 | 1610 | | 2000 | India | Calculator | 75 | 7535 | 1350 | 1685 | | 2000 | India | Calculator | 75 | 7535 | 1350 | 1760 | | 2000 | India | Computer | 1200 | 7535 | 1350 | 2960 | | 2000 | USA | Calculator | 75 | 7535 | 4575 | 3035 | | 2000 | USA | Computer | 1500 | 7535 | 4575 | 4535 | | 2001 | USA | Calculator | 50 | 7535 | 4575 | 4585 | | 2001 | USA | Computer | 1200 | 7535 | 4575 | 5785 | | 2001 | USA | Computer | 1500 | 7535 | 4575 | 7285 | | 2001 | USA | TV | 100 | 7535 | 4575 | 7385 | | 2001 | USA | TV | 150 | 7535 | 4575 | 7535 | +------+---------+------------+--------+--------------+----------------+---------------+ https://fr.slideshare.net/DagHWanvik/dublin-4x3finalslideshare-80423777

51. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 60 8.0 Window Functions SELECT DISTINCT FIRST_VALUE(value) OVER w AS First, LAST_VALUE(value) OVER w AS Last, SUM(value) OVER w AS Sum, AVG(value) OVER w AS Avg, CAST(ts AS DATE) AS date FROM ts WINDOW w AS ( PARTITION BY CAST(ts AS DATE) ORDER BY ts ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ); +-------+------+------+----------+------------+ | first | last | sum | avg | date | +-------+------+------+----------+------------+ | 142 | 154 | 609 | 152.2500 | 2018-08-10 | | 158 | 170 | 655 | 163.7500 | 2018-08-11 | | 172 | 249 | 771 | 192.7500 | 2018-08-12 | +-------+------+------+----------+------------+ • Handling Time Series SELECT * FROM ts; +----+-------+---------------------+ | id | value | ts | +----+-------+---------------------+ | 1 | 142 | 2018-08-10 00:00:00 | | 2 | 163 | 2018-08-10 06:00:00 | | 3 | 150 | 2018-08-10 12:00:00 | | 4 | 154 | 2018-08-10 18:00:00 | | 5 | 158 | 2018-08-11 00:00:00 | | 6 | 161 | 2018-08-11 06:00:00 | | 7 | 166 | 2018-08-11 12:00:00 | | 8 | 170 | 2018-08-11 18:00:00 | | 9 | 172 | 2018-08-12 00:00:00 | | 10 | 190 | 2018-08-12 06:00:00 | | 11 | 160 | 2018-08-12 12:00:00 | | 12 | 249 | 2018-08-12 18:00:00 | +----+-------+---------------------+

52. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 61 8.0 Window Functions & JSON SELECT doc FROM cs; +----------------------------------------------------------------------------------------------+ | doc | +----------------------------------------------------------------------------------------------+ | {"id": 1, "ts": "2018-08-10 00:00:00", "_id": "00005bd1ea94000000000000000d", "value": 142} | | {"id": 2, "ts": "2018-08-10 06:00:00", "_id": "00005bd1ea94000000000000000e", "value": 163} | | {"id": 3, "ts": "2018-08-10 12:00:00", "_id": "00005bd1ea94000000000000000f", "value": 150} | | {"id": 4, "ts": "2018-08-10 18:00:00", "_id": "00005bd1ea940000000000000010", "value": 154} | | {"id": 5, "ts": "2018-08-11 00:00:00", "_id": "00005bd1ea940000000000000011", "value": 158} | | {"id": 6, "ts": "2018-08-11 06:00:00", "_id": "00005bd1ea940000000000000012", "value": 161} | | {"id": 7, "ts": "2018-08-11 12:00:00", "_id": "00005bd1ea940000000000000013", "value": 166} | | {"id": 8, "ts": "2018-08-11 18:00:00", "_id": "00005bd1ea940000000000000014", "value": 170} | | {"id": 9, "ts": "2018-08-12 00:00:00", "_id": "00005bd1ea940000000000000015", "value": 172} | | {"id": 10, "ts": "2018-08-12 06:00:00", "_id": "00005bd1ea940000000000000016", "value": 190} | | {"id": 11, "ts": "2018-08-12 12:00:00", "_id": "00005bd1ea940000000000000017", "value": 160} | | {"id": 12, "ts": "2018-08-12 18:00:00", "_id": "00005bd1ea940000000000000018", "value": 249} | +----------------------------------------------------------------------------------------------+ • Handling Time Series data in a JSON column or from a collection

53. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 62 8.0 Window Functions & JSON SELECT DISTINCT FIRST_VALUE(value) OVER w AS First, LAST_VALUE(value) OVER w AS Last, SUM(value) OVER w AS Sum, AVG(value) OVER w AS Avg, CAST(ts AS DATE) AS date FROM cs, JSON_TABLE(doc, "$" COLUMNS (id int PATH "$.id", value int PATH "$.value", ts timestamp PATH "$.ts")) AS tcs WINDOW w AS ( PARTITION BY CAST(ts AS DATE) ORDER BY ts ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ); +-------+------+------+----------+------------+ | first | last | sum | avg | date | +-------+------+------+----------+------------+ | 142 | 154 | 609 | 152.2500 | 2018-08-10 | | 158 | 170 | 655 | 163.7500 | 2018-08-11 | | 172 | 249 | 771 | 192.7500 | 2018-08-12 | +-------+------+------+----------+------------+ • Handling Time Series data in a JSON column or from a collection

54. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 63 https://dev.mysql.com/doc/refman/8.0/en/innodb-locking-reads.html#innodb-locking-reads-nowait-skip-locked SELECT seat_no FROM seats JOIN seat_rows USING ( row_no ) WHERE seat_no IN (3,4) AND seat_rows.row_no IN (12) AND booked = 'NO' FOR UPDATE OF seats SKIP LOCKED FOR SHARE OF seat_rows NOWAIT; • Locking Read Concurrency with NOWAIT and SKIP LOCKED 8.0 Better Handling Hot Row Contention 1/2 SKIP LOCKED / NOWAIT Non deterministically skip over locked rows Error immediately if a row is already locked

55. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 64 -- Session 1 START TRANSACTION; SELECT * FROM t WHERE i = 2 FOR UPDATE; +---+ | i | +---+ | 2 | +---+ 8.0 Better Handling Hot Row Contention 2/2 SKIP LOCKED / NOWAIT -- Session 2 START TRANSACTION; SELECT * FROM t WHERE i = 2 FOR UPDATE NOWAIT; ERROR 3572 (HY000): Statement aborted because lock(s) could not be acquired immediately and NOWAIT is set. -- Session 3 START TRANSACTION; SELECT * FROM t FOR UPDATE SKIP LOCKED; +---+ | i | +---+ | 1 | | 3 | +---+

56. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0 UUID and Bit-wise Improvements • Functions to convert UUID to and from binary: – UUID_TO_BIN() – BIN_TO_UUID() – plus IS_UUID() • Binary format is now smaller and insert-order efficient: 11e678fe53303f87a4778c89a52c4f3b 53303f87-78fe-11e6-a477-8c89a52c4f3bFrom VARCHAR(36) To VARBINARY(16) • Bit-wise operations on binary data types. • Bit-wise operations on binary data types. – Designed with IPv6 in mind: ● INET6_ATON(address) & INET6_ATON(network) 65

57. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0 SQL Functional Indexes • Add the possibility to create functional indexes in MySQL – Implemented as indexed hidden generated columns 66 CREATE TABLE t1 ( col1 INT, col2 INT, INDEX func_index ((ABS(col1))) ); CREATE INDEX idx1 ON t1 ((col1 + col2)); CREATE INDEX idx2 ON t1 ((col1 + col2), (col1 - col2), col1); ALTER TABLE t1 ADD INDEX ((col1 * 40)); https://dev.mysql.com/worklog/task/?id=1075 Support for functional index (8.0.13+)

58. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0 SQL Default Value • Add the capability to use functions as default values as well as allowing default values for GIS and JSON datatypes – The most common use case would be to emulate a UUID-like auto_increment 67 https://dev.mysql.com/worklog/task/?id=9418 Permit default value to be a function or expression (8.0.13+) CREATE TABLE t0 ( id BINARY(16) DEFAULT (uuid_to_bin(uuid())), doc JSON DEFAULT ('[]') ); INSERT INTO t0 () VALUES (); Query OK, 1 row affected (0,11 sec) SELECT bin_to_uuid(id), doc FROM t0; +--------------------------------------+------+ | bin_to_uuid(id) | doc | +--------------------------------------+------+ | f6d56292-d8a6-11e8-a42f-dc53609b8b8d | [] | +--------------------------------------+------+

60. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 69 8.0 Features for DBAs • MySQL 8.0 InnoDB Cluster • Instant Add Column • Invisible indexes • Persist Configuration • Upgrade Checker utility • GIS Improvement • Prohibits table w/o primary Key • Histograms • Improved Security

62. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | InnoDB Cluster 71 App Servers with MySQL Router MySQL Group Replication MySQL Shell Setup, Manage, Orchestrate “High Availability becomes a core first class feature of MySQL!” https://mysqlserverteam.com/mysql-innodb-cluster-8-0-ga-is-available-now/

63. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Shell: DBA Admin API • The global variable 'dba' is used to access the MySQL AdminAPI • JS> dba.help() • Perform DBA operations – Manage MySQL InnoDB clusters • Create clusters • Validate MySQL instances • Configure MySQL instances • Get cluster info • Modify clusters • and much more ... App Servers with MySQL Router MySQL Group Replication MySQL Shell Setup, Manage, Orchestrate 72

64. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Group Replication: Database HA • Group Replication library – Implementation of Replicated Database State Machine • MySQL GCS is based on our home-grown Paxos implementation – Provides virtually synchronous replication for MySQL 5.7+ • Guarantees eventual consistency – Automates operations • Conflict detection and resolution • Failure detection, fail-over, recovery • Group membership management and reconfiguration “Multi-master update anywhere replication plugin for MySQL with built-in conflict detection and resolution, automatic distributed recovery, and group membership.” 73 App Servers with MySQL Router MySQL Group Replication MySQL Shell Setup, Manage, Orchestrate

65. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: Alter Table – Instant Add Column • Contribution from Tencent Games – Only a metadata change – No copying of data – Smaller final data size – Forward compatibility with old data file • ALTER TABLE ... ADD COLUMN c, ALGORITHM = INSTANT • Supports DYNAMIC/COMPACT/REDUNDANT row formats 74

66. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0 Invisible Indexes • Indexes are “hidden” to the MySQL Optimizer – Not the same as “disabled indexes” – Contents are fully up to date and maintained by DML • Two use cases: – Soft Delete (Recycle Bin) – Staged Rollout 75 Feature Request from DBAs • I don’t think this index is used any more: ALTER TABLE Country ALTER INDEX c INVISIBLE; • I need to revert: ALTER TABLE Country ALTER INDEX c VISIBLE; • It is now safe to drop: ALTER TABLE Country DROP INDEX c; e.g. Soft Delete

67. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: Persist Configuration 76 Cloud Friendly • Persist Global Server Variables  SET PERSIST max_connections = 500 ; • Examples Inlude :  Offline_mode  Read_Only • Requires no filesystem access • Inludes timestamp and change user

68. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: Upgrade Checker 1/2 77 • Quick and Easy MySQL Shell Utility – JavaScript – Python • Identifies Issues Based on Severity – No Issues – Potential Errors – Errors that must be fixed before Upgrading • Recommends Fixes – Schema, Configuration – Data on Server, etc. https://mysqlserverteam.com/mysql-shell-8-0-4-introducing-upgrade-checker-utility/ Feature Request from DBAs

70. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: InnoDB Improvements • Document Store/JSON – More efficient BLOBs, up to 4x improvement on update – Better performance for both small and large BLOBs • New Scalable WAL – Lock free design • Atomic DDL • Persistent Auto Increment • Contention Aware Transaction Scheduling (CATS) – Contribution from University of Michigan • Removed IO bottlenecks – More scalable design 79

72. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | MySQL 8.0MySQL 5.7 8.0: Improved GIS 82 • The world is flat • The world is infinite • Axes are unitless • Axes are orthogonal • Axis order is irrelevant • Axis direction is irrelevant • The world can be flat or ellipsoidal • Geographic coordinate systems wrap around • Axes have units • Geographic axes are not orthogonal • Geogrphic axis order matters • Axis direction may be relevant

73. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Highly Accurate  Now better than competitor databases • High Performance • Simple – No extra configuration or installation  Completely built in and ready to use • Powerful  Full Geography Support  Projected – Flat/Across 2 dimensions  Geographic – Spheroid  Details  5107 predefined SRSs from the EPSG Dataset 9.2  4628 projected  479 gegraphic 8.0: GIS Improvements 83

74. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0 Prohibits Tables w/o Primary Key • New system variable : sql_require_primary_key • Cause CREATE or ALTER statements that would yield a table without primary key, to fail • Tables without primary keys may cause performance problems • https://dev.mysql.com/worklog/task/?id=11807 85 https://dev.mysql.com/worklog/task/?id=9418 Option to Disallow Tables without a Primary Key (8.0.13+)

76. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | New! Performance Improvements • Improved Query Consistency – Histograms – Improved Cost Model • Faster Table/Range Scans 87 • Parallel Replication • UTF8MB4 • Information Schema • Performance Schema Indexes http://dimitrik.free.fr/blog/

77. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | New! Transactional Data Dictionary • Crash-safe Database – Common data dictionary for the server and InnoDB • Crash-safe & Atomic DDL – CREATE USER <userlist>, DROP DATABASE with all-or-none semantic – Simplifies replication failure cases 88 • Meta-data locking for FK constraints – FK moved from InnoDB to server layer • Scalable Information Schema – Queries are now executed as set of SQL views on tables – Large performance improvements Atomic and crash-safe DDL

78. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Column statistics 8.0: Histograms Feature Request by DBAs • Provides the optimizer with information about column value distribution • To create/recalculate histogram for a column: – ANALYZE TABLE table UPDATE HISTOGRAM ON column WITH n BUCKETS; • May use sampling – Sample size is based on available memory ( histogram_generation_max_mem_size ) • Automatically chooses between two histogram types: – Singleton: One value per bucket – Equi-height: Multiple value per bucket 89

79. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 90 Better query plans 8.0: Histograms • More consistent query execution for cases when data is skewed • Lower cost to maintain than an index Feature Request by DBAs

80. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 91 1 2 4 8 16 32 64 128 256 512 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 MySQL 8.0 MySQL 5.7 MySQL 5.6 Users QueriesperSecond OS : Oracle Linux 7.4 CPU : 48cores-HT Intel Skylake 2.7Ghz (2CPU sockets, Intel(R) Xeon(R) Platinum 8168 CPU) RAM: 256GB Storage : x2 Intel Optane flash devices (Intel (R) Optane (TM) SSD P4800X Series) 2x Faster than MySQL 5.7 8.0: SysBench IO Bound Read Only (Point Selects)

81. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | OS : Oracle Linux 7.4 CPU : 48cores-HT Intel Skylake 2.7Ghz (2CPU sockets, Intel(R) Xeon(R) Platinum 8168 RAM: 256GB Storage : x2 Intel Optane flash devices (Intel (R) Optane (TM) SSD P4800X Series) 2x Faster than MySQL 5.7 8.0: SysBench Read/Write (Update NoKey) 92

82. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Improved to consider buffer pool fit 8.0: Optimizer Cost Model Feature Request by DBAs• Storage engines : – Estimate for how much of data and indexes are in memory buffer – Estimate for hit rate for memory buffer • Optimizer cost model : – Take into account wether data is already in memory or need to be read from disk 93

83. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Improved to consider buffer pool fit 8.0: Optimizer Cost Model Feature Request by DBAs In Memory innodb_buffer_pool=32G Disk Bond innodb_buffer_pool=1G Plan A 5.8 secs 9 min 47 secs Plan B 77.5 secs 3 min 49 secs In Memory innodb_buffer_pool=32G Disk Bond innodb_buffer_pool=1G MySQL 5.6 Plan B MySQL 5.7 Plan A MySQL 8.0 Plan A Plan B 94

85. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • Improving MySQL Access Controls • Easier to manage user and applications rights • As standards compliant as practically possible • Multiple default roles • Export the role graph in GraphML – Visualize with ROLES_GRPHML() 96 Directly Indirectly Set Role(s) Default Role(s) Set of ACLS Set of ACLS New! SQL Roles Feature Request from DBAs

86. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Password Features • Password history - provides DBAs more password management – Require new passwords not reuse old ones - By number of changes and/or time. – Establish password-reuse policy globally as well as on a per-account basis. • SHA2 with Caching – Strong and Fast – Strong - SHA-256 password hashing (many rounds, seeds, …) – Fast - Caching • Greatly reduces latency – https://mysqlserverteam.com/upgrading-to-mysql-8-0-default-authentication-plugin-considerations/ • Supports for more connection protocols • Seamless RSA password-exchange capabilities (No linking OpenSSL) 97

87. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Password Features • New! Current password required for SET PASSWORD (8.0.13+) – Enhances the security by authorizing the users to change their password only if they could provide the current password – The new behavior is controlled by password_require_current column in the mysql.user table for every user – https://dev.mysql.com/worklog/task/?id=11544 98

88. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: File and Tablespace Encryption • AES 256 encryption of UNDO and REDO Logs • Super Simple to manage - Set – innodb_undo_log_encrypt=ON/OFF – innodb_redo_log_encrypt=ON/OFF • And – ON - Pages written after setting are encrypted – OFF - Pages written after setting are not 99 • New! Support Transparent Data Encryption for Shared Tablespaces (8.0.13+) – Extends tablespace encryption to general/shared tablespsces – Encryption ON/OFF can be specified either at create time or later with the SQL Syntax ● CREATE/ALTER TABLESPACE my_tablespace ENCRYPTION='Y'/'N'; (default is unencrypted) • Encryption is handled at the tablespace level, so either all or non of the tables in the tablespace is encrypted • https://dev.mysql.com/worklog/task/?id=9286

89. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 8.0: All these features plus… • Source code now documented with Doxygen • Plugin Infrastructure! • Expanded GIS Support • Expanded Query Hints Support • Improved Scan Query Performance • Improved BLOB Storage • Improved Memcached Interface • Cost Model Improvements • Scalability Improvements • Atomicity in Privileges • Parser Refactoring • Improvements to Temporary Tables • C++11 and Toolchain Improvements • GTID_PURGED always settable • Persistent Auto Increment • Native InnoDB Data dictionary • Improved Information Schema performance • SQL Grouping Function • Optimizer Trace detailed sort statistics • Descending Indexes • Smaller Package Downloads • JSON Aggregate, Pretty print functions • JSON performance improvements • Expanded Query Hints • Improved usability of cost constant configuration • Group Replication in 8.0 • Transaction Save Point support in Group Replication • Improved Replication Applier Lag Statistics in Performance Schema • Per Multi-source Channel Replication Filters • Atomic DDL extended to the Binary Log • Performance Improvements on the Replication Applier • Parallel Replication Applier Policy • Binary Log Management Enhancements • Additional Metadata Into the Binary Log • Improve SELECT COUNT(*) performance • Multiple addresses for --bind-address • Support for BLOBs in temp table engine • ... 101

90. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | • DocStore – SQL + NoSQL = MySQL • InnoDB Cluster – HA made easy • SQL • JSON • GIS 8.0 – Innovating and Evolving • Replication • Reliability • Observability • Manageability • Security • Performance • Scalability 102

91. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Resources – MySQL Blogs 1/3 103 • MySQL Server Team’s blog – http://mysqlserverteam.com/ • MySQL High Availability Team’s blog – http://mysqlhighavailability.com/ • MySQL Release Engineering Blog – https://mysqlrelease.com/ • MySQL Dev Team Blog – https://insidemysql.com/ • MySQL Enterprise Team Blogs – https://blogs.oracle.com/mysql/ • Lefred’s blog (MySQL Community Manager) – http://lefred.be/ • Olivier Dasini’s blog – http://dasini.net/blog/

92. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Resources – MySQL Blogs 2/3 104 • MySQL Document Store – https://dev.mysql.com/doc/x-devapi-userguide/en/ – https://github.com/mysql/mysql-connector-nodejs – https://www.npmjs.com/package/@mysql/xdevapi – https://dev.mysql.com/doc/refman/8.0/en/document-store.html – https://dev.mysql.com/doc/x-devapi-userguide/en/ – https://dev.mysql.com/doc/dev/connector-nodejs/8.0/ – https://www.mysql.com/news-and-events/web-seminars/mysql-document-store-and-node-js/ • MySQL Performance by Dimitri – http://dimitrik.free.fr/blog/archives/2018/04/mysql-performance-over-18m-qps-with-80-ga-on-2s-skylake.html – http://dimitrik.free.fr/blog/archives/2018/04/mysql-performance-80-and-utf8-impact.html • MySQL InnoDB Cluster – https://mysqlserverteam.com/mysql-innodb-cluster-8-0-ga-is-available-now/ – https://mysqlserverteam.com/mysql-innodb-cluster-whats-new-in-the-8-0-ga-release/ – https://mysqlserverteam.com/mysql-innodb-cluster-8-0-a-hands-on-tutorial/

93. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Resources – MySQL Blogs 3/3 105 • Common Table Expressions (CTE) – http://mysqlserverteam.com/mysql-8-0-labs-recursive-common-table-expressions-in-mysql-ctes/ – http://mysqlserverteam.com/mysql-8-0-labs-recursive-common-table-expressions-in-mysql-ctes-part-two-how-to-generate-series/ – http://mysqlserverteam.com/mysql-8-0-labs-recursive-common-table-expressions-in-mysql-ctes-part-three-hierarchies/ – http://mysqlserverteam.com/mysql-8-0-1-recursive-common-table-expressions-in-mysql-ctes-part-four-depth-first-or-breadth-first-traversal- transitive-closure-cycle-avoidance/ • Window Functions – http://mysqlserverteam.com/mysql-8-0-2-introducing-window-functions/ – https://mysqlserverteam.com/row-numbering-ranking-how-to-use-less-user-variables-in-mysql-queries/ – https://fr.slideshare.net/DagHWanvik/dublin-4x3finalslideshare-80423777 • Security – https://mysqlserverteam.com/mysql-8-0-4-new-default-authentication-plugin-caching_sha2_password/ – https://mysqlserverteam.com/mysql-8-0-4-openssl-and-mysql-community-edition/ – http://lefred.be/content/mysql-8-0-listing-roles/ – https://dev.mysql.com/doc/refman/8.0/en/password-management.html • Upgrade from 5.7 to 8.0 – https://mysqlserverteam.com/inplace-upgrade-from-mysql-5-7-to-mysql-8-0/ – https://mysqlserverteam.com/upgrading-to-mysql-8-0-here-is-what-you-need-to-know/

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