1.
Harmonizing Multi-tenant HBase Clusters for
Managing Workload Diversity
PRESENTED BY Dheeraj Kapur, Rajiv Chittajallu, Anish Mathew⎪ May 5, 2014

2.
Agenda
Topic Speaker(s)
Overview of Hadoop stack and Grid Infrastructure at Yahoo Rajiv Chittajallu
Application onboarding on Multi-Tenant HBase Dheeraj Kapur
Automation for Compaction/Splits and Monitoring Anish Mathew
Q&A All Presenters

3.
Hadoop at Yahoo

4.
Hadoop Usage at Yahoo
HBaseCon 2014
Browsers
Mobile Devices
Web Crawl
Knowledge
Graph
3rd Party
Yahoo Grid
Business Intelligence
Tools
(e.g. Tableau,
MicroStrategy)
Data
Collection
Asynchronous Data
Processing
Synchronous Serving
User
Events
WCC
Entity Feeds
Content Feeds
Source of truth for data*
Serving Systems
Home
Run
Search Mail
Mobile Flickr Media
Stream
Ads
Native
Ads
Display
Ads
Content
systems
Y!
NoSql
…

5.
Grid Infrastructure at Yahoo
HBaseCon 2014
A multi-tenant, secure, distributed compute and storage
environment, based on Hadoop stack for large scale data
processing

6.
Grid Stack
HBaseCon 2014

7.
Deployment Model
HBaseCon 2014
DataNode NodeManager
NameNode RM
DataNodes RegionServers
NameNode HBase Master Nimbus
Supervisor
Administration, Management and Monitoring
ZooKeeper
Pools
HTTP/HDFS/GDM Load
Proxies
Applications and Data
Data
Feeds
Data
Stores
Oozie
Server
HS2/
HCat

8.
Network Architecture – 1G to node
HBaseCon 2014

9.
Network Architecture – 10G Node
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40G (or 4 x 10G)
Host
Host
Host
.
.
.
.
.
.
10G

10.
Hbase @ Yahoo
HBaseCon 2014
• 7 clusters, 1500 region servers, 6 PB of data
• Diverse use cases, 500+ Tables, 100k regions
• Rolling Major compaction & Split and Group Rebalancing
• RegionServer groups, namespaces and multi region config System

11.
Challenges
HBaseCon 2014
• Customer onboarding and provisioning
• Access management and Table provisioning
• Deployments
• Customizing group configs
• Rolling Major Compaction and Splits
• Group Balancing

12.
Use Cases

13.
Use Cases
HBaseCon 2014
Search
▪ Web Cache
▪ Query Analysis
▪ Local Listings
▪ Analytics
Y! Mail
▪ Anti-spam
▪ Log Analytics
▪ Metadata Mgmt.
Cloud Platforms
▪ Performance
▪ Monitoring
▪ OpenStack
Consumer Platforms
▪ CMS
▪ Social Data
Online Ads
▪ Traffic Protection
▪ Ads Data Mgmt.
P13N
▪ Content P13N
▪ Ad targeting
Mobile
▪ Notifications
▪ Flickr
Sales
▪ eCommerce
Yahoo’s Global Business

14.
Web Crawl Cache
HBaseCon 2014
Developers/
Scientists
Poller
Fetcher
Ingestor
Extruder
Processing
Random
Read
poll
fetch
launch
write Compute Clusters
NM
DN
NM
DN
NM
DN.....HDFS NN
YARN RM
Clusters
RS
DN
RS
DN
RS
DN..... HDFSNN
HBaseHM
r/w
insert
scan

15.
Customer Onboarding & Multi Tenancy

16.
Customer Onboarding & Provisioning
HBaseCon 2014
• Two identical environments (Prod and Non-Prod)
• Applications are on boarded to Non-Prod for
performance/Integration testing
• Once ready, provisioned on prod
• Performance results help in production onboarding

17.
Namespaces
HBaseCon 2014
• Allow tenants to create/drop/modify their own tables
• Only super admin used to do it before
• Quota Management
• Security administration
• Commands : alter_namespace, create_namespace, describe_namespace,
drop_namespace, list_namespace, list_namespace_tables

18.
RegionServer Groups
HBaseCon 2014
• Missing QoS in Hbase 0.94
• Isolation is required in Multi-tenant env
• Multi configs are required for different apps
• Commands : group_add, group_balance, group_get, group_list,
group_list_tables, group_list_transitions, group_move_servers,
group_move_tables, group_of_server, group_of_table, group_remove

19.
Multi Region Configs
HBaseCon 2014
SVN Jenkins Build
Farm
Master Repository
Slave Repository
Colo B
Slave Repository
Colo A
HBase Cluster A
HBase Cluster B
Fetch Group List
Generate Multi Configs
Merge Default
Config & Push
multi config
Sync
Configs Download
Host Maps
and Multi
Region Config

20.
Compaction
HBaseCon 2014
• Minor & Major
• Minor picks up couple of smaller files and rewrite as one
• Major drop deletes or expire cells and picks up all files and rewrite
as one

21.
Compaction file selection
HBaseCon 2014
F
I
L
E
S
I
Z
E
Older File Age Younger
minCompactSize
ExcludedIncluded

22.
Compaction/Split Managemt

23.
Config Parameters
HBaseCon 2014
• hbase.hstore.blockingStoreFile
• hbase.hstore.compaction.max.size
• hbase.hstore.compaction.min.size
• hbase.hstore.compaction.ratio
• hbase.hregion.max.filesize
• hbase.hregion.memstore.flush.size
• hbase.master.wait.on.regionservers.mintostart

24.
Managed Compactions and Splits
HBaseCon 2014
• Flexible Scheduling
• Custom Logic per table and workload

25.
Compaction and Splits Scheduler
HBaseCon 2014
Metrics
Mysql
Metrics
Analyze
Region
Specific
Metrics
Server
Metrics
Scheduling
Parameters HBaseCtl:
Scheduler
HDFS
Publish
HBase Cluster A
HBase Cluster B
HBase Cluster CUpdate Compaction/Split Statistics
Zookeeper
Coordination &
Intermediate Store

26.
Group Balancing
• Scheduled group balance followed by rolling major compaction
• Based on Data Locality
– Find data locality of each block of store files
– Move region to server where the maximum blocks are located
• Helps after cluster upgrades and restarts
• After config changes for a region group
HBaseCon 2014

27.
Monitoring

28.
Monitoring
HBaseCon 2014
• Simon Metrics & Yahoo Monitoring As a Service (YMS)
• OpenTSDB at Yahoo, replacing MySQL as backend for YMS

29.
Monitoring cont..
HBaseCon 2014

30.
Monitoring Cont.. ( Metrics for Customers)
HBaseCon 2014
Simon
System
Other
Systems for
Analysis &
Reporting
Jenkins Job :
Merges and
Formats Metrics
HBase
HBase
Master
HDFS
Master
Grid
Snodes
Customer
Dashboards
Upload data
to HDFS
Memory Dump
from Master
Region Server
Metrics
Push compiled
metrics to
snodes
Fetch metrics

31.
Monitoring cont.. ( OpenTSDB )
HBaseCon 2014
• Evaluating
• Work required to make is production ready at Yahoo

32.
Thank You
HBaseCon 2014