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AntsDB
MySQL Compatibility for HBase
August 17,2018
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Content
01
02
04
03
About Us
Scenario
Architecture
Complementary to
HBase
hosted by
About Us01
hosted by
Water Guo
 Founder of AntsDB
 Love Hadoop and HBase but a heavy RDB user in the past
 Love programming for extreme performance
 Previously Software Architecture at Informatica, DataMirror, founder
of BDI Systems.
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AntsDB
 Open source project at https://github.com/waterguo/antsdb
 Problem to resolve: NoSQL is taking over the world but majority of
the data applications are still using RDB
 Database virtualization software
 Attempt to bring MySQL compatibility to HBase
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Scenario02
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Virtual Telephone Number
 Telecom industry
 Rigid latency requirement: 20ms max
 Data is growing fast
 Built on top of relational database - MySQL
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Solution Architecture
User
Application
Batch Analytics
AntsDB HBase
Spark SQL
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Lessons Learned
 Linear scalability
 Hadoop ecosystem
 Good random access
performance
 Latency spike
 Transaction
 Join performance
What we like HBase What we were struggling
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Why don’t cache hot data
 Operational data = hot data
 Historical data = majority of big data
 Daily hot data = 1-5%
 Weekly hot data = 5-10%
 Monthly hot data = 10-15%
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Silver bullet - caching
✧ Large amount local caching using SSD – 500 GB
✧ Local data fetch -> sub-millisecond latency
✧ Distributed transaction -> local transaction
✧ Distributed joins -> local joins
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AntsDB Architecture03
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Layers
1
2
3
4
SQL Parser/Executor
Caching
MySQL Network
Transaction
MVCC, row locking
HBase Connectivity
MySQL syntax,functions, data types
JDBC, ODBC, PHP, Python, Native
Data in and out from HBase
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Architecture
Subtitle Text
AntsDB
Application MySQL Driver
HBase
Cluster
HBase Connector
Transaction
Manager
SQL Parser
Local
CacheTransactions
Query
Result
Query
Result
Query Executor
hosted by
Fight the GC
- Java Unsafe - skip list, cache, WAL, row locking, cursor
- Atomic operation for row locks
- Small heap size - less than 4G
- Escape analysis
- Scan performance : 1 million rows / thread / second
- Insert performance: 200K inserts / thread / second
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Performance - YCSB write
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Performance - TPCC
hosted by
Complementary to HBase04
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MySQL Compatibility
 MySQL protocol – JDBC, ODBC, PHP, Python, Native
 Core SQL syntax
 MySQL data types
 MySQL functions – 45
 Low latency transactions
 Low latency joins
 Indexes - Unique, non-unique, full-text
hosted by
MySQL Behaviour Simulation
- Locking
- Commit and rollback
- MVCC
- Quirks such as 0000-00-00 00:00:00 datetime, zerofill integers
- Millisecond latency
hosted by
Compatible applications
 MySQL command line utilities
 MySQL Workebench
 DBeaver
 SquirrelSQL
 MediaWiki
 SonarQube
 PHPMyAdmin
 BechmarkSQL – TPC-C benchmarking
 YCSB
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High availability
Cluster
Low latency CP system
Next step
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Thanks

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HBaseConAsia2018 Track2-3: Bringing MySQL Compatibility to HBase using Database Virtualization