Thursday, June 4, 2015

The story of database scaling at YouTube and Dropbox

I have recently been studying postgreSQL. Coming from the MySQL Replication background and studying postgres, it was natural to just flow into their replication module and I couldn't help compare the replication modules of two of the biggest open source databases. I have also been studying ways to scale a growing database and trying to figure which of these two databases is better at scaling- in terms of ease of use, stability and performance. I have always been interested in scale and distributed systems and I am a big time follower of the architectures of the biggest web companies.

As evident from my last few posts, I have also been reading a lot about entrepreneurship lately. Combining all of this, when I come across a resource that tells me how a YouTube or Dropbox grew in scale, what are the problems they faced while their user-base grew and how they overcame it, gives me immense joy. Recently I came across two videos that I want to share.

The first is the story of YouTube presented pretty well by one of their earliest developers. The video clearly depicts the technical fine prints, the desperation to keep their growing site live and the common problems scale tends to bring up. There are times when you think something is so well presented that you don't want to reproduce it in your own words and thence I will just leave you with this video. Have a look at the amazing presentation.


The second video that I want to share today is the story of Dropbox. The speaker begins with a simplest architecture the founders started with and goes on iteratively to show how they kept improving their back-end. Note that Dropbox is a write intensive workload and hence this is a real fun video. Have a look.


Lastly, if you have more such references, do share along.

Sunday, May 31, 2015

Book Review: Young Turks

Young Turks: Inspiring Stories of Tech EntrepreneursYoung Turks: Inspiring Stories of Tech Entrepreneurs by Shereen Bhan
My rating: 3 of 5 stars

The unique selling proposition (USP) of this book is that you get introduced to the founders of flipkart, snapdeal, justdial, druva and more. The book is for someone who knows nothing about these guys. Having read about entrepreneurs before I didn't get a lot of new information.

Secondly, you can see through the book that this is a journalist asking questions. The books doesn't give a detailed account of the founders, nor is it inspiring enough. Shereen Bhan seems to have a predefined set of questions she asks everyone. This starts to get boring beyond a certain point. The stories are not personalized enough. I have read some of Rashmi Bansal books and she does that quite well. In the current book, the stories are quite short and I found the author moving to questionnaires too quickly for me.

Having said that this is a good starting point for reading books on this topic. Go for it if you do not know a lot about these founders already. If you have read a fair bit on this topic, skip this.

View all my reviews

Monday, May 25, 2015

Book Review: How I Braved Anu Aunty & Co-Founded A Million Dollar Company

How I Braved Anu Aunty & Co-Founded A Million Dollar CompanyHow I Braved Anu Aunty & Co-Founded A Million Dollar Company by Varun Agarwal
My rating: 4 of 5 stars

The story of Varun Agarwal is quite inspiring. The best part of this book is that you can relate to the central idea. We have all had an Anu Aunty in our lives and though you can see that the story is tweaked at times to make the presentation good, this is something that the author openly accepts in the book. Fare enough, the presentation needs to bind the readers.

Secondly, as a Bangalorean there are tons of places you can relate to and its fun to come across those references. All in all, the book makes some really good points keeping the mood light, cracking jokes along the way. This is one book that got me interested in reading books once again. I would recommend this book to anyone who is in the struggling phase, anyone who has lived in Bangalore and anyone who just wants to read a book for fun. Go for it, its worth a read!

View all my reviews

Book Review: Life is What You Make It

Life is What You Make ItLife is What You Make It by Preeti Shenoy
My rating: 2 of 5 stars

A good measure of whether you like a book or not, to me, is the feeling you carry soon after finishing the book. And with this book it was NOT a positive feeling for me. The book seems to over-dramatize certain instances.

I read this book between two masterpieces by George Orwell-
Animal Farm and Nineteen Eighty-Four. Perhaps that influenced my opinion on this book too and I can't help compare these books. The current book stands nowhere if you compare with those standards. You can clearly see the difference between the two authors. While on one hand George Orwell paints some beautiful pictures and maintains the tempo throughout the book, Preeti Shenoy fails miserably there in my opinion. There are parts in this book where you just don't feel like continuing. I would't recommend reading this book. There are tons of options out there and though I haven't read a lot of books myself I am sure there are plenty of better books read than this. This book can kill your interest in reading and I almost fell in that trap.

View all my reviews

Book Review: The Start-up of You

The Start-up of You: Adapt to the Future, Invest in Yourself, and Transform Your CareerThe Start-up of You: Adapt to the Future, Invest in Yourself, and Transform Your Career by Reid Hoffman
My rating: 4 of 5 stars

I will divide my review for this book into two parts. One to project what the author conveys and two- to show how this book is different from others.

In our part of the world, we are starting to move from the get a job mentality to start a company and thankfully so. The way we look at the entrepreneurs and people employed by the bigger organizations is completely different. Obviously, not everyone can start a company. Then does it mean that the entrepreneur mentality should be borne by only those few people starting a company? This is where this book fits in.

The author goes on to essay that there is no clear line of distinction between the two sides. The author suggests that entrepreneurship is something pretty central to whatever one does. The author shows how the concepts of entrepreneurship apply to regular jobs.

Moving to the second point of how this book is different- the first thing that I try to find when I come across a book is if it will impact my thinking in some way. Frankly, not many do that. This book, if you follow the exercises definitely does that. Go ahead, read the chapters one by one and follow the exercises. You will see the point behind linkedin and other social networks. You will know how to use first, second and other degrees of connection. Your network will grow and you will learn to use your network in the right way and much more. A must read for everyone!

View all my reviews

Book Review: Connect The Dots

Connect The DotsConnect The Dots by Rashmi Bansal
My rating: 4 of 5 stars

I had been reading a lot on entrepreneurs when I was recommended this book. But before this book, it had only been about massively successful founders like Elon Musk, Steve Jobs, Bill gates etc. Reading only about them gets you into thinking big but at the same time you feel a bit intimidated by these personalities. You keep asking yourself if they were born geniuses, if you too could do something etc.

Reading this book opened my horizons. The book covers some lesser known entrepreneurs and goes on to show that its not only limited to software, its not only limited to silicon valley but entrepreneurship is all about seeing things around you and starting whatever you feel for. Its more basic than choosing a field you want to be in and finding a problem there. Its more about finding an opportunity in any field, any scale and any place.

All in all a great piece encompassing a lot of variety. Indeed like the title says it did connect some dots for me. If you are dreaming and not able to find the one thing you would want to do, go for this book. If nothing else it will at least broaden your range so the problem is a touch simpler.

View all my reviews

Sunday, May 24, 2015

Book Review: Screw It, Let's Do It

Screw It, Let's Do It: Lessons In LifeScrew It, Let's Do It: Lessons In Life by Richard Branson


Richard Branson opens up about his life quoting instances to make the points listed in the contents. A short one and a good read especially if you are into reading about entrepreneurs. Richard's story has tons of things that one can learn from.

I read this book after the other one - Losing my virginity and it felt like this is just a shorter version of that book.

If you want to read more into the instances he quotes in Screw it lets do it I would recommend reading the other book. On the other hand, for the same reason I wouldn't recommend reading Screw it lets do it if you have already read the other book.

View all my reviews

Monday, April 13, 2015

MySQL 5.7.6: It is easier to switch master now!

Introduction
One of the primary objectives of MySQL replication is providing an easy failover process i.e. switching to a redundant system if the primary MySQL server fails. In MySQL this translates to switching to the most appropriate slave server in the eventuality of a failure of the master server.
The promotion of a candidate slave to become a new master is based on a lot of factors, undoubtedly the most important factor being that the chosen slave should be most up to date with the primary server (the old master) before we lost it! This blog explains how to use new features in MySQL 5.7.4 and later to make failover easier.
To find the most up to date slave server, a failover script looks at the set of transactions received by the slave and compares it with every other slave to find the one that has received the biggest set of transactions. There could be more sophisticated ways of doing this, for instance you could choose one preferred slave that you want to promote (perhaps it has a better hardware configuration, it has no filters, physical location etc) and make sure it receives every transaction that has been received by all the other slaves. For simplicity though, let’s narrow down our definition of the most appropriate slave to promote to be the one that is most up to date with the lost master.
How to failover using GTID based replication
To denote a set of transactions, MySQL uses GTID sets (a set of global transaction identifiers). To read more about GTIDs, you can refer to our official documentation or developer blogs. To find the set of transactions received by a MySQL slave server, you simply execute:
mysql> SELECT RECEIVED_TRANSACTION_SET FROM peformance_schema.replication_connection_status;
+------------------------------------------+
| RECEIVED_TRANSACTION_SET                 |
+------------------------------------------+
| 4D8B564F-03F4-4975-856A-0E65C3105328:1-4 |
+------------------------------------------+
Execute this on every slave and compare the sets to find the slave with largest received transaction set- that’s your candidate slave for promotion. Let us call this slave the new master. Before you switch a slave to replicate from the new master, you earlier had to make sure all the transactions the slave has received are executed. In versions of MySQL prior to 5.7.4, you needed to do the following steps:
  1. stop slave.
  2. start slave to replicate until all received transactions are executed.
  3. wait until all received transactions are executed.
  4. switch master to redirect slaves to replicate from new master.
  5. start slave
This would translate to the following MySQL commands:
  1. STOP SLAVE;
  2. START SLAVE UNTIL SQL_AFTER_GTIDS= <received_transaction_set>;
  3. SELECT WAIT_FOR_EXECUTED_GTID_SET(<received_transaction_set>);
  4. CHANGE MASTER TO <new_master_def>;
  5. START SLAVE;
However, in MySQL-5.7.4, we introduced a feature which allows one to selectively stop only that component of replication which requires a change. This means that in the present context, to switch to a new master we only need to stop the receiver module (or in technical terms the I/O thread). The applier threads can continue applying transactions, if there are any pending, while we switch master. Building on this infrastructure we can now reduce the above steps to the following:
  1. Stop the receiver module (STOP SLAVE IO_THREAD).
  2. Switch master (CHANGE MASTER TO <new_master_def>).
  3. Start the receiver module (START SLAVE IO_THREAD).
Note the removal of the wait function (wait_for_gtid_executed_set) to ensure that the received transactions are executed before you switch master. There is no need for that step anymore!
How to failover using non-GTID based replication
If you are not using GTIDs, though we highly recommend you should, you can still take advantage of the current improvements. This means you can change the following part of your failover script:
  1. STOP SLAVE
  2. SHOW SLAVE STATUS to get coordinates (Read_Master_Log_Pos, Master_Log_File)
  3. START SLAVE UNTIL coordinates saved in step (2).
  4. SELECT MASTER_POS_WAIT (coordinates,...).
  5. CHANGE MASTER TO <new_master_def>.
  6. START SLAVE.
to the following simpler steps:
  1. STOP SLAVE IO_THREAD;
  2. CHANGE MASTER TO <new_master_def>;
  3. START SLAVE IO_THREAD.
Conclusion
Using the improvements in the newer versions of MySQL 5.7, failover becomes easier. Our effort to improve MySQL high availability continues and we remain committed to easing the processes. Please do try this, and as always let us know your feedback. You can also use mysqlfailover or MySQL Fabric that automate the failover process.

Sunday, March 22, 2015

MySQL-5.7.6: Introducing Multi-source replication

On March 10, 2015, we released MySQL-5.7.6 and among many other things it includes multi-source replication which provides the ability for a MySQL slave server to replicate from more than one MySQL master. We have been very careful with multi-source replication in terms of what exactly our users want and we have tried our best to incorporate as much feedback as possible. In the process, we released the feature twice under MySQL Labs asking users to try it out and tell us:
  1. If this caters to all their use cases,
  2. Plays well with the existing applications using single source replication so our users don’t have to change their old scripts at all if they do not intend to use multi-source and instead stick to single source replication.
  3. The user interface is in sync with our naming conventions to date, easy to understand and intuitive etc.
Note that the look and feel changed as we moved from one lab release to another and finally to the latest version as MySQL-5.7.6. In this post, I aim to introduce the released feature, the commands and how you can monitor the multi-source replication internals. Let's start with the following figure that best illustrates the core of multi-source replication.

In the figure above we have three MySQL sources (independent MySQL servers- master 1, master 2 and master 3) replicating to the only slave acting as a sink to collect all the data from all the three sources.
The use cases of multi-source, as you have probably already guessed, are related to data aggregation. Note that there is no conflict detection or resolution built into multi-source replication. We expect the application to make sure that data coming from different sources are non-conflicting. A typical setup could be something like this:

The same concept could be extended to shards (instead of databases). So another use case of multi-source replication is to join shards and make a full table on the sink (aka slave). .
To understand how to configure and monitor multi-source replication, we introduced the notion of channels. A channel is an abstraction of the internals of MySQL replication's finer details. It hides the machinery underneath while providing the level of detail that helps the user manage and understand multi-source replication. From a user perspective you can imagine a channel as a pipe between a master and a slave. If there are multiple masters, there are the same number of channels (or pipes) emerging out of the slave server as the number of sources as shown in the picture below:

If you understand MySQL internals already and want to know exactly what constitutes a channel, look at the pink strip in the following picture. The replication channel documentation has all the details. But if you don’t know these details already, ignore this figure and move ahead. After all that is what we wanted to achieve with the concept of a channel.

With the concept of channels established, you can now follow steps described in the tutorial section of our official documentation to work with multi-source replication. Note how the FOR CHANNEL <channel_name> clause now allows you to take each master-slave instance individually and work with them as if you were working with a single source replication topology.
Having set up multi-source replication and making sure there are no conflicts you can expect it to just work out of the box. But if you want more details you could look at our monitoring interfaces to provide you the details on every channel. In MySQL-5.7.2, we introduced performance_schema tables to monitor replication, the good news is that these tables were always designed with multi-source replication in mind so they should work seamlessly with multi-source replication. All six replication performance schema tables now have a “channel_name” field added to them to individually access the configuration and status on each channel. As an example, we have described performance_schema.replication_connection status in our manual. Given that you are working with multiple channels, lets walk through this table again and see how it presents the internals. Try out the following query to look at the receiver module:

We can see quite a few things here:
  1. Which master does channel1 replicate from?
    The one whose UUID is as given in the “source_uuid” column.
  2. Which thread is responsible for receiving transaction through channel1?
    Thread number 13. Note that this thread number is same as the one in performance_schema.threads table. You can use this information to now look into other performance_schema tables to mine more statistics using the joins.
  3. Is the receiver module of channel1 active or down at the moment?
    The channel is active and receiving transactions because its service state is ON.
  4. What transactions have been received via channel1?
    Transactions 1-4. See the global transaction identifiers in the field "received_transaction_set".
  5. What if there was an error?
    The last three fields in each row give an idea of the error on that channel, if any.
    See  the example below where channel1 has lost connection:


  6. How about my network?
    Look at the last two columns to get an idea of this. The last time a heartbeat signal was sent is shown in the “last_heartbeat_timestamp” column.
    The "count_received_heartbeat" indicates how frequently heartbeats are being sent out. A big number here would mean that either the connection is not stable or this channel was idle having nothing to replicate.
Likewise there are more replication performance_schema tables that you can use to get to finer details. If there is anything else that you think should be available in these tables per channel, leave us a comment and we would be happy to take it forward. We truly believe in working with our users and look forward to your experience with this feature. There is a lot more to explore in multi-source replication so go try out the feature and if there is anything that you have suggestions for, please do leave a comment. Don't forget that MySQL 5.7.6 is a development milestone release (DMR)and therefore not yet declared generally available.

Saturday, March 14, 2015

FOSSASIA Conference: MySQL Group Replication

This slide was used to introduce group replication at FOSSASIA 2015 conference. The document has following contents:
  1. Starts with asynchronous and semi-synchronous protocols supported by MySQL replication and goes ahead to show how group replication fits into the whole high availability offering by MySQL. 
  2. Shows a step-by-step process from a user perspective as to how a transaction is executed in the group. 
  3. Shows the building blocks making the layered architecture of Group replication plugin and what the roles of these building blocks are. 
  4. Where (and where not) to use group replication.

Monday, March 9, 2015

FOSSASIA 2015: MySQL Group replication preview

I will be presenting group replication on March 14, 2015 in the FOSSASIA conference. It is a 25 minute session and you can find the schedule here.  Here is an abstract of the talk:

MySQL Replication provides a solution for High Availability and Read
Scale-Out. Replication ensures that data written on one MySQL server
is made available on other MySQL servers at runtime in a fast,
consistent and fault tolerant manner with minimal impact to the
overall performance of the server.

Traditionally, MySQL Replication supports a single master and many
slaves, and it is either asynchronous or semi-synchronous. Recently, a
preview of a new replication plugin for MySQL was released and this is
named MySQL Group Replication. This plugin provides multi-master
update everywhere capabilities, making it possible to update data,
concurrently, on any server in a group. While not a fully synchronous
replication solution such as MySQL Cluster, it does provide additional
synchronization related to message exchanged between servers in a
group.

This talk explains how MySQL Group Replication facilitates improves
High Availability and simplifies replication and application
management - it will also include a demo.

Takeaways:
- What's in the MySQL Group Replication MySQL 5.7 labs release.
- Understanding the architecture of MySQL Group Replication.
See you there!

Saturday, November 8, 2014

Open source India Conference: MySQL High Availability with Replication New Features

The session was presented at open source India 2014 (http://osidays.com/osidays/) by Shivji (me) and Manish Kumar. It talks of the new features in MySQL-5.7 Replication. It covered work on
  1. Performance enhancements in MySQL Replication 
  2. Usability improvements 
  3. More flexibility to provide more options to our users so 
  4. They can chose what is best for their application. 
  5. Semi-synchronous and MySQL Group Replication 
At then end, there are a lot of links to the blogs written on these features by the MySQL Replication engineers.

Thursday, October 16, 2014

MySQL 5.7.5- More variables in replication performance_schema tables

At MySQL, replication usability is of utmost importance to us. Replication information has long been part of SHOW commands, SHOW SLAVE STATUS occupying a major chunk of it. The other sources of replication information being:
As the replication module grows further, there is a lot more monitoring information, so much that the present interfaces seem too rigid to accommodate all the information we would like to present. So we need to organize them in a more structured manner. In MySQL-5.7.2, we introduced replication performance_schema (P_S) tables providing an SQL interface to monitor replication configuration and status partitioned into different tables, each table grouping logically related information. You can read more about the contents of these tables from official MySQL documentation.
In MySQL-5.7.5 we added some more status variables to these performance_schema tables to enable monitoring the latest replication features viz. multi-source replication in labs. Multi-source allows a MySQL slave to replicate from multiple sources (masters) directly. Talking of multi-source, one needs the replication information per source. So we added global variables that would be useful to extend to per-source scope to the replication performance\_schema tables to help monitor multi-source replication. Note that these variables still work for the single sourced replication and can still be accessed as:
Show status like 'Slave_running';
Show status like 'Slave_retried_transactions';
Show status like 'Slave_last_heartbeat';
Show status like 'Slave_received_heartbeats';
show status like 'Slave_heartbeat_period';
Note though that the status variables are now mostly useful in single-source mode ONLY. If more sources are added, the status variables still just apply to the first source. For other replication sources (masters), the only way to access these variables is to use the replication performance_schema tables as named in the table below. Here is how the names of server variables map to the names in the replication performance_schema tables:
VARIABLE NAMEP_S TABLE NAMEP_S FIELD NAME
 SLAVE_HEARTBEAT_PERIOD replication_connection_configuration HEARTBEAT_INTERVAL
 SLAVE_RECEIVED_HEARTBEATS replication_connection_status COUNT_RECEIVED_HEARTBEATS
 SLAVE_LAST_HEARTBEAT replication_connection_status LAST_HEARTBEAT_TIMESTAMP
 SLAVE_RETRIED_TRANSACTIONS replication_execute_status COUNT_TRANSACTIONS_RETRIES
The variable 'slave_running' reports whether the slave is running or not. This can be found by inspecting the two replication components (receiver and applier) separately to see if the receiver module is running or not by executing
SELECT SERVICE_STATE FROM performance_schema.replication_connection_status;
And execute module is running or not by executing
SERVICE_STATE FROM performance_schema.replication_execute_status;
Please try out multi-source replication and our new monitoring interface in the form of replication performance_schema tables. As always, your feedback is very valuable to us.

Tuesday, April 8, 2014

MySQL Developers Conference: MySQL Replication and Scalability

The slide deck contains the latest developments in MySQL Replication. It covers:
- An introduction to MySQL Replication
- Scaling with Multi-threaded slaves
- Data aggregation with Multi-source replication
- Lossless failover with semi-synchronous replication
- Replication Monitoring made easier

Tuesday, April 1, 2014

MySQL-5.7.4- Change master without stopping slave altogether

At MySQL, we have been working on simplifying the failover process making it faster, more flexible and easier to use. MySQL-5.6 came up with Global Transaction Identifiers (GTID) which was a huge leap in the direction of easing the failover process hiding the details about replication logs and positions. With MySQL-5.7.4, we are introducing a new feature that further adds to flexibility and onliness- the user can only shut down components that he needs to re-configure.

What we allow with this new feature is to execute CHANGE MASTER TO command without stopping slave altogether. We realized that stopping slave altogether is not mandatory in all cases and doing that was more of a cautious approach to switching master restricting more than what’s required at times.

Lets dive deep into this to see what can be relaxed here. For this, lets break the replication process into two modules:
M1) Receiver module (concerned with IO thread) and
M2) Applier module (concerning SQL thread or coordinator and worker threads, whichever be the case)

We can now divide options under the command CHANGE MASTER TO into three groups based on the above classification: 

G1) Options that change a receiver configuration. 
G2) Options that change an applier configuration. 
G3) Options that relate to both (1) and (2). 

For the precise division look at the picture below. Note that the illustration takes into account all the CHANGER MASTER TO options present currently (MySQL-5.7.4). 




Note that given its current usage, we could put the MASTER_AUTO_POSITION  option under group G1(i.e., receive side). Currently only the receiver module uses GTID positioning but we foresee that in future it will be good to allow the applier module to use GTID positioning. We thus keep the master_auto_position option under group G3 to keep things future-proof. Worried that obstructs the failover process again like before? Well that's not a problem as MASTER_AUTO_POSITION is a slave's configuration that you only set once. Then it affects all future times that you redirect to a new immediate master. So you don't specify it on fail-over.

With the classifications stated above, we propose a 3-point rule stated as:
R1) For CHANGE MASTER TO options under group G1, stop only receiver module (M1) using the command STOP SLAVE IO_THREAD command.
R2) For CHANGE MASTER TO options under group G2, stop only applier module (M2) using the command STOP SLAVE SQL_THREAD command.
R3) For CHANGE MASTER TO options under group G3, stop both receiver (M1) and
applier modules (M2) using the command STOP SLAVE.

HOW DOES THIS RULE WORK?
Lets explore more about our 3-point rule(R1-R3):

  • Starting with rule R1, we stated that we only need to stop the receiver thread to change receive options. What happens to the applier module? Well the applier module keeps applying pending transactions, if any. If you have a situation where the slave was lagging behind with a lot of transactions queued into the slave's logs, you can allow the applier module to catch up while you switch masters or change a configuration on the receive side keeping the master same.
  • Under rule R2, we stated that we can change configuration of applier module after stopping the applier threads ONLY, receiver module can be running while you do this. So while you fine-tune your slave applier module the receiver module keeps reading master's log and copying transactions to the slave's log. These could then be applied in-parallel by the slave when the applier module is up and running.
  • Under rule R3, you stop both receiver and applier modules. So, this is analogous to
    STOP SLAVE;
    CHANGE MASTER TO <master_def>;
    used before this feature was available.

Worried how relay log purge would be handled now? Well its pretty simple- Under rules R1 and R2, we do not purge logs implicitly on executing the CHANGE MASTER command so that the receiver or applier whichever is running just keeps processing/adding relay logs as it would do if no replication thread was stopped.

Finally note that you need not always look at the figure above to find which options are allowed which thread being stopped. You just need to ask yourself if the parameter is related to receiver thread and stop the concerned thread. And if you go wrong there are error messages to guide you on the right path. Look at the next section for the usage and the errors.

EXAMPLES OF USAGE
example 1:
Previously, to change master heartbeat period, you would do a

STOP SLAVE;
CHANGE MASTER TO MASTER_HEARTBEAT_PERIOD= <value>;
START SLAVE;

Now, with this feature you just have to stop the receiver (io) thread as heartbeat has nothing to do with the applier thread(s).
 
STOP SLAVE IO_THREAD;
CHANGE MASTER TO MASTER_HEARTBEAT_PERIOD= <value>;
START SLAVE IO_THREAD;

Note that the applier thread keeps executing the transactions in the relay log while you change the heartbeat period for the master-slave connection. Likewise, you could do this with all the attributes mentioned in group G1 in the figure above.

example 2:
Similarly, to change applier thread attributes, you just have to stop the applier threads.
So instead of

STOP SLAVE;
CHANGE MASTER TO MASTER_DELAY=<value>;
START SLAVE;

it is enough to do the following with this feature.

STOP SLAVE SQL_THREAD;
CHANGE MASTER TO MASTER_DELAY=<value>;
START SLAVE SQL_THREAD;

Lastly, if you go wrong there are nicely worded error message to guide you. So in the first case, if your receiver module is active and you execute a

CHANGE MASTER TO MASTER_HEARTBEAT_PERIOD= <value>;

 you get an error saying:
This operation cannot be performed with a running slave io thread; run STOP SLAVE IO_THREAD first.


and if you forgot changing applier module when it was required, the server will say:

This operation cannot be performed with a running slave sql thread; run STOP SLAVE SQL_THREAD first.


Lastly you still have the error message saying both the threads should stop appearing only for MASTER_AUTO_POSITION option now:
MASTER
This operation cannot be performed with a running slave; run STOP SLAVE first.

Lets see some examples once again:

example 3:
slave>START SLAVE;
slave>CHANGE MASTER TO MASTER_DELAY= 10;
ERROR 1900 (HY000): This operation cannot be performed with a running slave sql thread; run STOP SLAVE SQL_THREAD first

example 4:
mysql> CHANGE MASTER TO MASTER_HEARTBEAT_PERIOD= 10;
ERROR 1904 (HY000): This operation cannot be performed with a running slave io thread; run STOP SLAVE IO_THREAD first.

example 5:
mysql> CHANGE MASTER TO MASTER_AUTO_POSITION= 0;
ERROR 1198 (HY000): This operation cannot be performed with a running slave; run STOP SLAVE first

SIDE-EFFECTS?

While implementing this, we have taken special care to make sure we dont break anything for a user switching masters like:

STOP SLAVE;
CHANGE MASTER to <master_def>;
START SLAVE.

There are absolutely NO side-effects to worry you. Note that as stated before, CHANGE MASTER TO will not delete relay logs if one of the receiver or applier thread is running.

Try it out and give us your feedback. As always, we look forward to hearing from you to improve this feature. Enjoy :)