Use Your MySQL Knowledge to Become a MongoDB Guru

Use Your MySQL Knowledge to
Become a MongoDB Guru
Percona Live London 2013

Robert Hodges
CEO
Continuent

Tim Callaghan
VP/Engineering
Tokutek
®

Tuesday, November 12, 13

Our Companies
Robert Hodges
• CEO at Continuent
• Database nerd since 1982 starting with M204, RDBMS since
1990, NoSQL since 2012; designed Continuent Tungsten

•

Continuent offers clustering and replication for MySQL and
other fine DBMS types

Tim Callaghan
• VP/Engineering at Tokutek
• Long time database consumer (Oracle) and producer (VoltDB,
Tokutek)

•

Tokutek offers Fractal Tree indexes in MySQL (TokuDB) and
MongoDB (TokuMX)
®


MongoDB -- The New MySQL

One Bad Thing about
MongoDB
One Good Thing about
MongoDB
®


One Bad Thing about MongoDB
MySQL
> select * from table1 where column1 > column2;
> ... 5 row(s) returned
MongoDB
> db.collection1.find({$field1: {gt: $field2}});
> ReferenceError: $field2 is not defined
[current] MongoDB query language is
<field> <operator> <literal>
®


One Good Thing about MongoDB

Robert’s “ease of use”
demo

®


Today’s Question

How can you use your
MySQL knowledge to get
up to speed on MongoDB?

®


Topic:
Schema Design

®


How Do I Find Things in MongoDB?

mongod server

== mysqld
== MySQL schema
== MySQL table
~ Sort of like a MySQL row
!= MySQL column

database
collection
BSON document
key/value pair
key/value pair
key/value pair

BSON document...

8
®


How Do I Create a Table and Insert Data?
Connect
# Ruby Code

MongoClient.new("localhost").
db("mydb").
Use database
collection("sample").
insert({"data" => "hello world"})

Choose
collection

Insert data to
materialize database
and collection

Primary key
generated
automatically
9
®


How Do I Change the Schema?

# Ruby Code

MongoClient.new("localhost").
db("mydb").
collection("sample").
insert({"data" => "hello again!",
"author" => “robert”})

Just add
more data
10
®


How Do I Validate Schema?

rs0:PRIMARY>
{ "_id" : 1,
{ "_id" : 2,
{ "_id" : 3,

db.samples.find()
"data" : "hello world" }
"daata" : "bye world” }
"data" : 26.44 }

Software bugs?
rs0:PRIMARY> show databases
local ! 2.0771484375GB
mydb! 7.9501953125GB
Typo from an
mydb1! 0.203125GB

early run

11
®


How Do I Remove Data? (Part 1)

Drop a database

rs0:PRIMARY> db.dropDatabase()
{ "dropped" : "mydb", "ok" : 1 }
Drop a collection

rs0:PRIMARY> db.samples.drop()
true
Drop a column?

rs0:PRIMARY> db.foo.update(
{ author: { $exists: true }},
{ $unset: { author: 1 } },
false, true )
12
®


How Do I Remove Data? (Part 2)

(Remove documents based on TTL index)

> db.samples.ensureIndex(
{"inserted": 1},
{"expireAfterSeconds": 60})
> db.samples.insert(
{"data": "hello world",
inserted: new Date()})
> db.table.count()
1
...
> db.table.count()
0
(Capped collections do same with space)
13
®


How Does MongoDB Do Joins?

It Doesn’t!
(It is your job to denormalize or do
application level joins. This includes
thinking about storage.)

14
®


Topic:
Data Storage
and Organization

®


How is My Data Stored, Logically?
MongoDB storage is very similar to MyISAM
secondary
index(es)

_id index

etc.

collection data (documents)
16
®


How is My Data Stored, Physically?
But it does look different in the file system.
MyISAM
<db>/<table>.frm
<db>/<table>.myd
<db>/<table>.myi

MongoDB
<db1>.ns
<db1>.1 .. <db1>.n
<db2>.ns
<db2>.1 .. <db2>.n

• start MongoDB with “--directoryperdb” to put
files in database folders
• pro-tip : do this to gain IOPs by database
17
®


How Much Memory Does It Use?

All of it!

18
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How does MongoDB Manage Memory?
• MyISAM
– key_cache_size determines index caching
– data is cached in Operating System buffers

• InnoDB
– innodb_buffer_pool_size determines index/data
caching

• MongoDB
– memory mapped files
– mongod grows to consume available RAM
– good : no knob
– bad : operating system is in charge of cache
– bad : available RAM may change over time
19
®


How Will It Perform for My Workload?
• It depends...
– Determine your “working set”
o The portion of your data that clients access most often
o db.runCommand( { serverStatus: 1, workingSet: 1 } )

– If working set <= RAM
o Performance generally very good
o Be careful in high-concurrent-write use cases

– If working set >= RAM
o Likely IO bound
o Sharding to the rescue!

20
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How Can Schema Affect Working Set?
• Field names are stored with the document
– On disk and in memory

• Plan ahead, specially for large collections

BAD!

GOOD!

{ first_name: “Timothy”,
middle_initial: “M”,
last_name: “Callaghan”,
address_line_1: “555 Main Street”,
address_line_2: “Apt. 9” }

{ fn: “Timothy”,
mi: “M”,
ln: “Callaghan”,
al1: “555 Main Street”,
al2: “Apt. 9” }

21
®


Topic:
Query Optimization

®


How Does the Query Optimizer Work?
• MySQL
– Optimizer find useable indexes for the query
– For each index, optimizer asks the storage engine
o What is the cardinality for the given keys?
o What is the estimated cost?

– The “best” plan is chosen and used for the query

• This occurs for every single query

23
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How Does the Query Optimizer Work?
• MongoDB
– All candidate indexes run the query in parallel
o “candidate” meaning it contains useful keys

– As matching results are found they are placed in a
shared buffer
– When one of the parallel runs completes, all
others are stopped
– This “plan” is used for future executions of the
same query
o Until the collection has 1,000 writes, mongod restarts, or
there is an index change to the collection

24
®


A Simple Yet Elegant Solution?
• No more wrestling with the optimizer
• Hints are supported ($hint)
– Force a particular index
– http://docs.mongodb.org/manual/reference/
operator/meta/hint/

• Easier since MongoDB does not support joins

25
®


Topic:
Transactions

®


MySQL Transactions and Isolation
InnoDB creates
MVCC view of data;
locks updated rows,
commits atomically

mysql> BEGIN;
...
mysql> INSERT INTO sample(data) VALUES
(“Hello world!”);
mysql> INSERT INTO sample(data) VALUES
(“Goodbye world!”);
...
mysql> COMMIT;
MyISAM locks table

and commits each
row immediately
27
®


How Does MongoDB Implement Locking?
# Update data ranges of documents to
# show effects of database lock.
@col.update(
{key =>
Locks database
{"$gte" => first.to_s,
"$lt" => last.to_s}
},
{ "$set" =>
{ "data.x" => rand(@rows)}})
Test

Total Requests/Sec

Single thread updating single collection
Two threads updating two collections, same DB
Four threads updating two collections, same DB
Two threads updating two collections, diﬀerent DBs

197
80 + 80 = 160
29+29+30+30 = 118
190 + 179 = 369

28
®


How Does MongoDB Implement Isolation?
• MongoDB does not prevent threads from
seeing partially committed data
• Example: Index changes can result in “double
read” of data if query uses index while index
is changing
• Experiment: Construct a test to:
• Select from numeric index and count rows
• Simultaneously update index to shift lower
values past end of previous high value
29
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How Does MongoDB Implement Isolation?

# Select values.
count = 0
@col.find(“k1” =>
{"$gte" => 120000}).
each do |doc|
count += 1
end
puts "Count=#{count}"

# Run update to increase.
@col.update(
{"_id" =>
{"$exists" => true}},
{"$inc" =>
{“k1” => increment}},
{:multi => true})

Count=50000
Count=50000
Count=100000 <--Index shifts over tail
Count=50000
Count=50000
30
®


Topic:
Replication and HA

®


Review of MySQL Replication

Master

Slave
Master-master
conﬁguration
for fast failover

Relay
Log

Binlog

Relay
Log

set global
read_only=1;

Binlog

32
®


How Does MongoDB Set Up Replication?

PRIMARY

Replication

SECONDARY

Heartbeat

Heartbeat

Replication

SECONDARY

33
®


Where Is The Replica Set Defined?
$ mongo localhost
...
# rs0:PRIMARY> rs.config()
{
!
"_id" : "rs0",
!
"version" : 8,
!
"members" : [
!
! {
!
! ! "_id" : 0,
!
! ! "host" : "mongodb1:27017"
!
! },
!
! {
!
! ! "_id" : 1,
!
! ! "host" : "mongodb2:27017"
!
! },
!
! {
!
! ! "_id" : 2,
!
! ! "host" : "mongodb3:27017”
!
! }
!
]
}
34
®


How Do Applications Connect?

# Connect to MongoDB replica set.
client = MongoReplicaSetClient.new(
['mongodb1', 'mongodb2', 'mongodb3'])
# Access a collection and add data
db = client.db("xacts")
col = db.collection("data")
col.insert({"data" => "hello world"})

35
®


How Do You Read From a Slave?

# Connect to MongoDB replica set.
client = MongoReplicaSetClient.new(
['mongodb1', 'mongodb2', 'mongodb3'],
:slave_ok => true)
# Access a collection and select documents.
db = client.db("xacts")
col = db.collection("data")
col.find()

36
®


Where’s the Binlog?
Find last document in
the OpLog
rs0:PRIMARY> use local
rs0:PRIMARY> db.oplog.rs.find().
... sort({ts:-1}).limit(1)
{ "ts" : Timestamp(1383980308, 1),
"h" : NumberLong("9112507265624716453"),
"v" : 2, "op" : "i", "ns" : "xacts.data",
"o" : {
"_id" :
ObjectId("527ddd116244f28f4592f6a8"),
"data" : "hello world!"
}
}
37
®


How Do You Lock the DB to Back Up?
(= FLUSH TABLES WITH READ LOCK)
rs0:SECONDARY> db.fsyncLock()
{
! "info" : "now locked against writes, use
db.fsyncUnlock() to unlock",
! "seeAlso" : "http://dochub.mongodb.org/
core/fsynccommand",
! "ok" : 1
}
...

(tar or rsync data)
...

(= UNLOCK TABLES)
rs0:SECONDARY> db.fsyncUnlock()
{ "ok" : 1, "info" : "unlock completed" }
38
®


How Do You Fail Over?

• Planned failover: update rs.config and save:
rs0:SECONDARY>
rs0:SECONDARY>
rs0:SECONDARY>
rs0:SECONDARY>
rs0:SECONDARY>

cfg = rs.conf()
cfg.members[0].priority = 1
rs.reconfig(cfg)

• Unplanned failover: kill or stop mongod

39
®


Topic:
Sharding

®


How is Partitioning Like Sharding?
• MySQL partitioning breaks a table into <n>
tables
– “PARTITION” is actually a storage engine

• Tables can be partitioned by hash or range
– Hash = random distribution
– Range = user controlled distribution (date range)

• Helpful in “big data” use-cases
• Partitions can usually be dropped efficiently
– Unlike “delete from table1 where timeField <
’12/31/2012’;”

41
®


How Does Partitioning Help Queries?
Partitioned big_table on dateCol by month.
select * from big_table where column1 = 5;

Aug-2013

Sep-2013

Oct-2013

Nov-2013

select * from big_table where dateCol = ’10/12/2013’;

42
®


Can I Finally Scale My Workload Horizontally?
• MySQL partitioning is helpful, but is still
constrained to a single machine
• MongoDB supports cross-server sharding
– huge plus: it’s “in the box”
– MySQL fabric is bringing something, we’ll see
– Many other 3rd Party MySQL options exist

• Only shard the collections that require it
• Each MongoDB shard is a replica set (1
primary and 1+ secondaries)

43
®


What Does MongoDB Sharding Look Like?

Master
client app1

client app2

Master

...
mongosn

shard1

Slave

shard2

Slave

shardn

mongos1

...

Slave

...
Master

44
®


How Does Sharding Help Queries?
Sharded big_table on dateCol by month.
select * from big_table where column1 = 5;

Aug-2013
shard... shard1

Sep-2013

Oct-2013

Nov-2013

shard2

shard3

shard4

shard...

select * from big_table where dateCol = ’10/12/2013’;

45
®


How Do I Pick a Shard Key?
• MongoDB shards on one or more fields
• Simple example
– “orders” collection (customerId and productId)
– 1: shard on customerId
o each order writes to a single shard
o reads by customer on single shard
o reads by product on entire cluster

– 2: shard on productId
o each order writes to several shards
o reads by customer on entire cluster
o reads by product on single shard

– 3: store everything twice and shard both ways
o worst case for writes
o best cast for reads (either is shingle shard)
46
®


Topic:
Security

®


How Secure is It?
• basic username/password
• by database
• roles
– read = read any collection
– readWrite = read/write any collection
– dbAdmin = create index, create collection, rename
collection, etc.

48
®


What About Advanced Security?
• Kerberos support in MongoDB Enterprise
Edition
• SSL is supported, but
– Note: The default distribution of MongoDB does
not contain support for SSL. To use SSL, you must
either build MongoDB locally passing the “--ssl”
option to scons or use MongoDB Enterprise.

49
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What Else is There to Learn?

• Tools - mongostat, mongo[export/
•
•

import], mongo[dump/restore]
Aggregation Framework
• Think SQL aggregate functionality
Map/Reduce

®


What Should You Do?

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Summary
We liked...
• Ease of install
• Ability to just “jump in”
Look [out] for...
• Query language (Tim says hang in there!)
• You have to think about storage and queries in advance
Highly Recommended Reading
• Karl Seguin’s “The Little MongoDB Book”
• http://openmymind.net/mongodb.pdf
• MongoDB’s “SQL to MongoDB Mapping Chart”
• http://docs.mongodb.org/manual/reference/sql-comparison/
®


Questions?

Robert Hodges
CEO, Continuent
robert.hodges@continuent.com
@continuent

Tim Callaghan
VP/Engineering, Tokutek
tim@tokutek.com
@tmcallaghan

®


Use Your MySQL Knowledge to Become a MongoDB Guru

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