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Sharding MySQL with Vitess
Harun Küçük
What is Sharding?
Sharding is a type of database partitioning that separates very large databases
into smaller,faster and more easily managed parts called data shards.
• Non-Scalable Master
Why we need Sharding?
Sample Traditional MySQL Replication
• Scalable App Layer
• Scalable Replicas
Vitess
• Started 2010 , youtube https://vitess.io/
• Open source since 2011 https://github.com/vitessio/vitess
• Incubating project in CNCF https://www.cncf.io/projects/
Vitess Architecture
• Lightweight proxy server
• Routes traffic to correct vttablet
• Returns consolidated results back to the clients
Vitess Architecture
• Proxy server that sits in front of MySQL instance
• Protect MySQL from harmful queries
• Connection Pooling
• Query rewriting
• Hot row protection
Vitess Architecture
• Stores metadata (running servers,sharding schema,Replication Graph)
• Etcd, Apache Zookeeper or consul could be used for topology
Vitess Architecture
• Vtctl is command line tool, Vtctld is an HTTP server that lets
you browse the information stored in the topology.
Vitess Architecture
• Replica tablets: candidates for master tablet ,
Readonly tables: for batch jobs, resharding,bigdata,backups etc.
Vitess Key Adaptors
• Started 2010 at Youtube and It has been serving all Youtube
database traffic since 2011. Youtube had 256 shards and each
shards had between 80 and 120 replicas across 20 datacenters
all around the world. (Approx. 256K instance)
• JD.com is the 2nd largest retailer company in China. JD.com has
more than 10.000 instance (master,replicas) in Vitess on
kubernetes cluster
• Square Cash App fully runs on Vitess. Square has more than 64
shards.
• Slack migrated 40% database traffic to Vitess and their goal is
100%
• Pinterest’s all of advertising campaign management fully runs
on Vitess
Example: Sakila DVD Rental Company Database
Lets suppose we have a DVD rental company and our database diagram live below
Day 1: Table Rows
Query:
30 days later…
Query:
6 months later…
Query:
2 years later…
Query:
Entity Group for Sharding
Payment,Rental and Customer
tables have customer_id column.
So these three tables should be
sharded horizontally by
customer_id
Step 1: Vertical Sharding
Step 2: Horizontal Sharding
Step 3: Resharding
Prerequisites for Demo
• Vitess (https://github.com/vitessio/vitess)
• Kubernetes Cluster or Minicube
• Etcd operator for topology cluster
• Helm for vitess helm charts (vitess/helm/vitess)
• NFS client provisioner for persistent NFS volumes
(https://github.com/helm/charts/tree/master/stable/nfs-client-provisioner)
1.) initiate new cluster, Concepts
File: initial_cluster.yaml
• Cell : Zone, availability zone, datacenter
• KeySpace : Logical Database
• Vschema : Vitess Schema, contains
metadata about how tables are organized
across keyspaces and shards
• Vindex : index to find shards
1.) initiate new cluster
File: initial_cluster.yaml
1.) initiate new cluster
2.) Create New Keyspace
File:create_keyspace.yaml
2.) Create New Keyspace
File:create_keyspace.yaml
3.) Split Keyspace Schema
File:split_keyspace_schema.yaml
3.) Split Keyspace Schema
File:split_keyspace_schema.yaml
3.) Split KeySpace Schema
4.) Vertical Split Clone
File:vertical_split_clone.yaml
4.) Vertical Split Clone
File:vertical_split_clone.yaml
4.) Vertical Split Clone
4.) Migrate
File: migrate_readonly_replica.yaml
migrate_master.yaml
4.) Migrate ReadOnly and Replica
4.) Migrate Master
5.) Drop Blacklisted Tables
VtGate Quey Routing
VtGate Quey Routing
Horizontal Sharding
6.) Primary Vindex for Horizontal Sharding
File: create_vindex.yaml
Sharding by Hash Function
Sharding by Hash Function
1001
1000
1002
1003
1004
1005
1006
1007
Vitess Hash Algorithm (3des hash)
4000 = 4000000000000000
8000 = 8000000000000000
Vitess Hash Based Sharding (3des hash)
264 combination. theoretically allows us to have an infinite number
of shards
Vitess Hash Based Sharding (3des hash)
7.) Create Horizontal Shards
File: create_horizontal_shards.yaml
7.) Create Horizontal Shards
7.) Horizontal SplitClone
File: horizontal_split_clone.yaml
7.) Horizontal SplitClone
File: horizontal_split_clone.yaml
7.) Horizontal SplitClone
File: horizontal_split_clone.yaml
8.) Migrate RdOnly,Replica and Master
File: 13_migrate_readonly_replica.yaml
14_migrate_master.yaml
8.) Migrate RdOnly,Replica and Master
File: 13_migrate_readonly_replica.yaml
14_migrate_master.yaml
Querying Vitess Cluster - Counts
Querying Vitess Cluster - Routing
Querying Vitess Cluster - Routing
Querying Vitess Cluster – @replica,@rdonly
Querying Vitess Cluster – Cross Shard Join
Querying Vitess Cluster – Cross Shard Join
Querying Vitess Cluster – Cross Shard Join
= +
N *
N = row count of 2. query’s result
1
2
3
VReplication
Files:copy_schema_shard.sh,vreplication.sh,ap
ply_routing_rules.sh,add_reference_table.sh
Querying Vitess Cluster –Cross Shard
Join,VReplication
Querying Vitess Cluster –Scatter Query
Querying Vitess Cluster –Scatter Query
LookupVindex
Drawbacks: Application Transactions
• Best Effort Commit -> Consistency Problems
• 2 Phase Commit -> Performance Cost
Drawbacks: Distributed Deadlocks
Shard Level Deadlock
Drawbacks: Distributed Deadlocks
Database Level Deadlock
Application Transactions
Q&A
github.com/vitessio/vitess
vitess.io
vitess.slack.com
Thank You

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