MySQL 8.0 introduces numerous features enhancing performance and usability, including a unified versioning system for all components, improved data dictionaries, and advanced indexing capabilities. New functionalities such as invisible indexes, asynchronous connection failover, and better JSON support streamline development and maintenance. Additionally, the Oracle MySQL Database Service offers a fully managed platform optimized for cloud deployment with high availability and performance enhancements like HeatWave and Autopilot.

1. MySQL 8.0 New Features
Dave Stokes
MySQL Community Manager
MySQL Community Team
Linux Foundation Open Source Summit
September 27th, 2021
1

2. Me?
✔ Started using MySQL when it first was available
✔ Used in many projects -> Open Source, used due to low $
✔ Joined MySQL AB as PHP Programmer on the Certification Team
MySQL AB -> Sun Microsystems -> Oracle
✔ MySQL Community Team
✔ MySQL 8.0 DBA & DEV Certified
✔ Live in Texas with required hound dog and pickup truck
slides -> slideshare.net/davestokes
@Stoker David.Stokes @Oracle.com
2

3. Copyright © 2021, Oracle and/or its affiliates
3
MySQL
is
25 Years
Old!

4. MySQL 5.6 reached ‘end of life’ status in February of 2021!
Please upgrade to MySQL 5.7 or 8.0
MySQL 5.6 EOL
4

5. Generally Available in April 2018
Releases every three months, or so
-ci/cd bandwagon
-software much more complex than the 5.5 era
-better product gets to customers quicker
Same release numbers for all products
-server, clients, connectors, router, utilities, etc.
-tested together
MySQL 8.0
5

6. No More Wondering Which Version of What to Run – now all 8.0.26
▪ In the past you had various versions for
the server, the connectors, the tools,
and etcetera.
▪ Now one release number for all
products
All tested together
Pass Q/A Together
▪ MySQL Server – Community &
Enterprise
▪ MySQL NDB Cluster
▪ MySQL Shell
▪ MySQL Workbench
▪ MySQL Router
▪ MySQL Connectors – C/C++, Java, .Net,
Node.JS, ODBC, Python & PHP
(MySQLnd & X DevAPI)
6

7. So
What
Changed?
7

8. The data dictionary that stores information about
database objects.
In previous MySQL releases, dictionary data was
stored in metadata files, non transactional tables,
and storage engine-specific data dictionaries
Data Dictionary
8

9. Now stored in InnoDB storage engine.
Excellent for point in time recovery
Less inodes consumed, less mess
Data Dictionary
9

10. The good news:
You can now have millions of tables in a schema.
The bad news:
You can now have millions of tables in a schema.
Data Dictionary
10

11. ● Unicode support
● 4 bytes
● CJK Support
● and 💩
Optimized for UTF8MB4
11

12. mysql> EXPLAIN FORMAT=TREE SELECT * FROM t1 JOIN t2 ON t1.c1 < t2.c1G
*************************** 1. row ***************************
EXPLAIN: -> Filter: (t1.c1 < t2.c1) (cost=4.70 rows=12)
-> Inner hash join (no condition) (cost=4.70 rows=12)
-> Table scan on t2 (cost=0.08 rows=6)
-> Hash
-> Table scan on t1 (cost=0.85 rows=6)
Beginning with MySQL 8.0.18, MySQL employs a hash join for any query for
which each join has an equi-join condition, and in which there are no
indexes that can be applied
A hash join is usually faster than and is intended to be used in such
cases instead of the block nested loop algorithm ( employed in previous
versions of MySQL.
Hash Joins
12

13. Hash Joins
13

14. NoSQL access via new protocol based on Google
Protobufs
Not an ORM
Will also work with relational data
API follows modern design practices
Using Structured Query Language or X DevAPI
MySQL as a NoSQL JSON Document Store Database
14

15. • Advanced Client and Code Editor
• Command Completion
• Extensive help support
• Three modes – SQL, Python, and JavaScript
• Admin for InnoDB Cluster and ReplicaSet Replication
• 5.7 to 8.0 upgrade checker
• Bulk loader
• Utilities for dumping schemas, or instances and restoration
MySQL Shell
15

16. Three Modes
● JavaScript
● Python
● SQL
TLS 1.3
● Secure by default
Compression
16

17. ALTER TABLE t1 ALTER INDEX i_idx INVISIBLE;
ALTER TABLE t1 ALTER INDEX i_idx VISIBLE;
Invisible indexes make it possible to test the effect of removing an index on
query performance, without making a destructive change that must be undone
should the index turn out to be required.
Dropping and re-adding an index can be expensive for a large table, whereas
making it invisible and visible are fast, in-place operations.
Invisible Index
17

18. SQL > create table not_here (id serial primary key,
a int,
b int invisible);
SQL > insert into not_here (a,b) values (1,2),(3,4);
SQL > select * from not_here;
+----+---+
| id | a |
+----+---+
| 1 | 1 |
| 2 | 3 |
+----+---+
SQL > select *,b from not_here;
+----+---+---+
| id | a | b |
+----+---+---+
| 1 | 1 | 2 |
| 2 | 3 | 4 |
+----+---+---+
Invisible Column
Suppose that an application uses
SELECT * queries to access a
table, and must continue to work
without modification even if the
table is altered to add a new
column that the application does
not expect to be there.
18

19. The asynchronous connection failover mechanism to automatically establish an asynchronous
(source to replica) replication connection to a new source after the existing connection from a
replica to its source fails.
The asynchronous connection failover mechanism can be used to keep a replica synchronized
with multiple MySQL servers or groups of servers that share data.
The list of potential source servers is stored on the replica, and in the event of a connection
failure, a new source is selected from the list based on a weighted priority that you set.
Group Replication also supported!
New Async Connection Failover
19

20. CREATE USER 'bill'@'localhost' COMMENT 'Bill Johnson room 114, x 1234';
select User_attributes from mysql.user where User='bill'G
*************************** 1. row ***************************
User_attributes: {"metadata": {"comment": "Bill Johnson room 114, x
1234"}}
ALTER USER 'mary'@'localhost' ATTRIBUTE '{"email":"mary.wu@example.com"}';
select User_attributes from mysql.user where User='mary'G
*************************** 1. row ***************************
User_attributes: {"metadata": {"email": "mary.wu@example.com", "comment":
"Mary Wu room 141, x 2234"}}
User Details
20

21. ALTER INSTANCE {ENABLE|DISABLE} INNODB REDO_LOG;
Turn off REDO logging for loading data
21

22. These support the export of all
schemas or a selected schema
from an on-premise MySQL
instance into an Oracle Cloud
Infrastructure Object Storage
bucket or a set of local files
And they provide parallel
dumping with multiple threads
and file compression, which
are not provided by mysqldump.
Progress information is
displayed during the dump.
Shell Backup Utilities - Mysqlsh util.dumpSchemas(), util.dumpInstance(), util.dumpTables() and util.loadDump()
util.dumpInstance("/tmp/instance",
{ "showProgress" : "true" })
1 thds dumping - 100% (52.82K rows / ~52.81K rows), 0.00
rows/s, 0.00 B/s uncompressed, 0.00 B/s compressed
Duration: 00:00:00s
Schemas dumped: 4
Tables dumped: 26
Uncompressed data size: 3.36 MB
Compressed data size: 601.45 KB
Compression ratio: 5.6
Rows written: 52819
Bytes written: 601.45 KB
Average uncompressed throughput: 3.36 MB/s
Average compressed throughput: 601.45 KB/s
22

23. Transaction payloads are compressed using zstd
algorithm on server as a single transaction.
Transferred to replica in compresses state and
written to relay log in their compressed state.
Binary Log Compression
23

24. SQL > create user 'Foo'@'%' IDENTIFIED BY RANDOM PASSWORD;
+------+------+----------------------+
| user | host | generated password |
+------+------+----------------------+
| Foo | % | Ld]5/Fkn[Kk29/g/M;>n |
+------+------+----------------------+
1 row in set (0.0090 sec)
https://elephantdolphin.blogspot.com/2019/10/mysql-random-password-generation.html
Random Passwords
24

25. EXPLAIN ANALYZE select city.Name, Country.Name
FROM city
JOIN country ON (city.CountryCode = country.code)
WHERE country.code= 'GBR'
ORDER by city.name
LIMIT 5;
| EXPLAIN
|
| -> Limit: 5 row(s) (actual time=0.102..0.103 rows=5 loops=1)
-> Sort: city.Name, limit input to 5 row(s) per chunk
(cost=80.76 rows=81) (actual time=0.102..0.102 rows=5 loops=1)
-> Index lookup on city using CountryCode
(CountryCode='GBR') (actual time=0.066..0.075 rows=81 loops=1)
|
1 row in set (0.0006 sec)
EXPLAIN ANALYZE
25

26. CREATE INDEX data__nbr_idx
ON a1( (CAST(data->'$.nbr' AS UNSIGNED ARRAY)) );
A Multi-Valued Index (MVI) is a secondary index defined on a column made up of an
array of values.
We are all used to traditional indexes where you have one value per index entry, a
1:1 ratio.
A MVI can have multiple records for each index record. So you can have multiple
postal codes, phone numbers, or other attributes from one JSON document indexed
for quick access.
https://elephantdolphin.blogspot.com/2019/08/improved-mysql-query-performance-with.html
Multi-Values Indexes
26

27. CREATE TABLE `testx` (
`col` JSON,
CONSTRAINT `myage_inRange`
CHECK (JSON_SCHEMA_VALID('{"type": "object",
"properties": {
"myage": {
"type" : "number",
"minimum": 28,
"maximum": 99
}
},"required": ["myage"]
}', `col`) = 1)
);
JSON Document Validation
mysql> insert into testx values('{"myage":27}');
ERROR 3819 (HY000): Check constraint
'myage_inRange' is violated.
mysql> insert into testx values('{"myage":97}');
Query OK, 1 row affected (0.02 sec)
https://elephantdolphin.blogspot.com/2019/07/json-schema-validation-with-mysql-8017.html
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28. His script now runs automatically – no chance to forget it again!
No more running mysql_upgrade
28

29. CREATE TABLE t1 ( CHECK (c1 <> c2),
c1 INT CHECK (c1 > 10),
c2 INT CONSTRAINT c2_positive CHECK (c2 > 0),
c3 INT CHECK (c3 < 100),
CONSTRAINT c1_nonzero CHECK (c1 <> 0),
CHECK (c1 > c3)
);
Constraint Checks
29

30. ANALYZE TABLE t UPDATE HISTOGRAM ON c1, c2, c3 WITH 10 BUCKETS;
ANALYZE TABLE t DROP HISTOGRAM ON c2;
A histogram is created or updated only on demand, so it adds no overhead (unlike
an index) when table data is modified.
On the other hand, the statistics become progressively more out of date when table
modifications occur, until the next time they are updated.
Histograms
30

31. InnoDB uses the Contention-Aware Transaction Scheduling (CATS) algorithm to prioritize transactions
that are waiting for locks. When multiple transactions are waiting for a lock on the same object, the
CATS algorithm determines which transaction receives the lock first.
The CATS algorithm prioritizes waiting transactions by assigning a scheduling weight, which is
computed based on the number of transactions that a transaction blocks. For example, if two
transactions are waiting for a lock on the same object, the transaction that blocks the most
transactions is assigned a greater scheduling weight. If weights are equal, priority is given to the
longest waiting transaction.
This replaces the previous used First In First Out (FIFO) algorithm to schedule transactions.
CATS
31

32. mysql> select country_name, IndyYear
from countryinfo,
json_table(doc,"$" columns (
country_name char(20) path "$.Name",
IndyYear int path "$.IndepYear")
) as stuff
where IndyYear > 1992;
+----------------+----------+
| country_name | IndyYear |
+----------------+----------+
| Czech Republic | 1993 |
| Eritrea | 1993 |
| Palau | 1994 |
| Slovakia | 1993 |
+----------------+----------+
Better JSON Support including JSON_TABLE()
JSON_TABLE() is used for making JSON data a
temporary relational data, which is especially useful
when creating relational views over JSON data,
32

33. WITH
cte1 AS (SELECT a, b FROM table1),
cte2 AS (SELECT c, d FROM table2)
SELECT b, d FROM cte1 JOIN cte2
WHERE cte1.a = cte2.c;
Common Table Expressions or CTEs -- ..are like derived tables but the declaration is BEFORE the query
33

34. SELECT date, amount,
sum(amount)
OVER w AS ‘sum’
FROM payments
WINDOW w AS
(ORDER BY date
RANGE BETWEEN INTERVAL 1 WEEK
PRECEDING AND CURRENT ROW)
ORDER BY date;
Window Functions - More granular analysis
34

35. MySQL InnoDB cluster provides a
complete high availability solution for
MySQL.
MySQL Shell includes AdminAPI which
enables you to easily configure and
administer a group of at least three
MySQL server instances to function as
an InnoDB cluster.
Each MySQL server instance runs
MySQL Group Replication, which
provides the mechanism to replicate
data within InnoDB clusters, with
built-in failover.
InnoDB Cluster
35

36. The basic idea for InnoDB ReplicaSet is to do the same
for classic MySQL Replication as InnoDB Cluster did for
Group Replication and provides an easy-to-use
AdminAPI for it in the MySQL Shell.
In just a few easy to use Shell commands, a MySQL
Replication database architecture can be configured
from scratch including:
• Data provisioning using MySQL CLONE,
• Setting up replication
• Performing manual switchover/failover
Replica Set
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37. The clone plugin permits cloning data locally or from a remote MySQL server instance.
Cloned data is a physical snapshot of data stored in InnoDB that includes schemas, tables,
tablespaces, and data dictionary metadata. The cloned data comprises a fully functional
data directory, which permits using the clone plugin for MySQL server provisioning.
CLONE INSTANCE FROM 'user'@'host':port IDENTIFIED BY 'password' [DATA
DIRECTORY [=] 'clone_dir'] [REQUIRE [NO] SSL];
Clone Plugin
37

38. MySQL without the SQL -- Oh My!!
38

39. MySQL Database Service
Oracle Cloud Infrastructure
39

40. Oracle MySQL Database Service is a fully managed database service that lets developers quickly
develop and deploy secure, cloud native applications using the world’s most popular open source
database.
Optimized for Oracle Cloud Infrastructure (OCI), MySQL Database Service is 100% built, managed,
and supported by the OCI and MySQL engineering teams.
MDS
40

41. “We have saved around 40% of our
costs and are able to reinvest that
back into the business. And we are
scaling across EMEA, and that’s
basically all because of Oracle.”
—Asser Smidt
CEO and Cofounder, BotSupply
Startups get cloud credits and a 70%
discount for 2 years, global exposure via
marketing, events, digital promotion, and
media, plus access to mentorship,
capital and Oracle’s 430,000+
customers
Customers meet vetted startups in
transformative spaces that help them
stay ahead of their competition
Oracle stays at the competitive edge
of innovation with solutions that
complement its technology stack
Oracle for Startups - enroll at oracle.com/startup
A Virtuous Cycle of Innovation, Everybody Wins.
41

42. Test Drive MySQL
Database Service For
Free Today
Get $300 in credits
and try MySQL Database Service
free for 30 days.
https://www.oracle.com/cloud/free/
Copyright © 2021, Oracle and/or its affiliates
42

43. Follow us on Social Media
Copyright © 2021, Oracle and/or its affiliates
43

44. If you are using
JSON & MYSQL
then you
need this book!
The second edition is
now on sale at
Amazon
44

45. Thank You!
slides -> slideshare.net/davestokes
45 Copyright © 2021, Oracle and/or its affiliates
Q&A

46. 46

47. The High Availability option enables applications to meet higher uptime requirements and zero data
loss tolerance.
When you select the High Availability option, a MySQL DB System with three instances is provisioned
across different availability or fault domains.
The data is replicated among the instances using a Paxos-based consensus protocol implemented by
the MySQL Group Replication technology.
Your application connects to a single endpoint to read and write data to the database.
In case of failure, the MySQL Database Service will automatically failover within minutes to a
secondary instance without data loss and without requiring to reconfigure the application
MDS HA
47

48. HeatWave is a tightly integrated, high performance, in-memory query accelerator for the MySQL Database Service.
It allows customers to run very fast analytics queries directly against their MySQL databases entirely avoiding the step
of data ETL into a second analytics database.
HeatWave scales out to thousands of cores, is 1,100 times faster at query performance than Amazon Aurora, and is
2.7 times faster than Amazon Redshift—at one-third the cost.
MySQL AutoPilot provides machine-learning–based automation which helps configure, optimize, and tune MySQL
HeatWave. Autopilot uses data and queries from the application workload in the machine learning model to make
predictions. It enables customers to optimally provision, load, execute queries, and recover from failure without
requiring any human intervention.
MDS Heatwave + Autopilot
48