The document discusses Honeycomb, an open-source MySQL storage engine backed by HBase. Honeycomb allows MySQL to use HBase for storage, enabling features such as automatic sharding, replication, and MapReduce integration. The document outlines Honeycomb's schema design in HBase and how data is stored by row and index format without duplication. Performance tests show Honeycomb can achieve 51-75% of the scan speed of raw HBase.

1. 6/13/13 HBaseCon 2013

2. 2
SQL

3. 3
MySQL
Storage Engine
Optimizer
Parser
Local Disk

4. Honeycomb
open-source MySQL storage engine
backed by HBase
4

5. MySQL
Honeycomb
HBase

6. Features
6
Honeycomb InnoDB
Cross table joins ✓ ✓
Compound indices ✓ ✓
Unique indices ✓ ✓
Auto Increment Columns ✓ ✓
Stored procedures & views ✓ ✓
Transactions ✓
Foreign key constraints ✓
Automatic sharding ✓
Replication & failover ✓
Map/reduce integration ✓
Map/reduce bulkload ✓

7. 7
Honeycomb HBase Schema

8. 8
Metadata
Rows
Indices
Honeycomb HBase Schema

9. Row format
9
MySQL row[empty]6 table id UUID
RowKey Qualifier Value
variable length encoded
unsigned integer
serialized Avro
data type
single byte prefix

10. Index Format
10
1 or more
variable length encoded
unsigned integer
serialized Avro
data type
single byte prefix
7 table id index id UUIDnull indicator value MySQL row[empty]
Qualifier ValueRowKey

11. Data Duplication
11
duplication factor = 1 + 2i
where i = number of indices

12. Performance
12
Range Limit
Relative Scan
Performance
10 Rows 75%
100 Rows 68%
1000 Rows 51%

13. 13
nearinfinity.github.io/honeycomb
github.com/honeycomb