Goldilocks is a In-memory DB solution which has tremendous performance. It can process millions of user data operations per second. It's simple, lightweight, easy to use. We strongly recommand you to try it. If you do so, you'll see the best low latency data solution which you've ever met.

1. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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GOLDILOCKS ?
What is Goldilocks ?
Database ?
NoSQL DB ?
Shared Memory Solution ?
nanosecond
Jitter
Low-Latency

2. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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DBMS Core ArchitectureAdvantages of Shared Memory
Transaction & Simple SQL
B Tree Index
Concurrent Control
Client / Server Environment
Various Object Type & Meta
Backup & Recovery
High Performance
Light Weight
Direct Access to Memory
Easy to Manage
No Need to Transform Data
Inter Process Communication
DBMSShared Memory
Goldilocks is a specialized lightweight DB for the field of Low-Latency In-Memory Computing.
Goldilocks is fast, simple, lightweght, and easy to use.
GOLDILOCKS
+
GOLDILOCKS ?

3. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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DBMS vs. GOLDILOCKSDisk DBMS vs. In-Memory DBMS
GOLDILOCKS guarantees low-latency reponse.
-
GOLDILOCKS ?
 Removal of Disk I/O cost  Better Performance
 Removal of (Disk I/O + Network I/O + Data
Transform ) Ultra Low Latency
GOLDILOCKS < us IMDB > 20us
DISK
RDBMS > ms
Application
DISK DBMS
Buffer
DB
Application
Memory DBMS
DB
Performance
Difference
Application
DB
API Driver
SQL
Query Processing
Storage API
DB
Storage API
Performance
Difference
DBMS GOLDILOCKS
Application

4. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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Features
Transaction Management
 Transaction Processing
 1024 Concurrent Transactions
B+ Tree Index
 B+ Tree Index
 Max Key Size 128 byte
 Unique, Non Unique Index
Concurrency Control
 Record Level Lock Support
 MVCC (Multi-Version
Concurrency Control)
Client / Server Envrionment
 Storage API Remote Support
 Remote Management Tool
(Console Only)
Backup & Recovery
 Selective Disk Logging Mode
 Recovery by Disk Log
 Loggin Configuration per Instance &
Object
 Backup & Recovery Tool Support
(Object Schema & Data)
Various Object Type
 Table, Direct Table, Queue
 Communication by Queue Table
1:1, 1:N, N:1, N:N
Memory Management
 Lock Free Segment Management
 Memory Auto Extension
 User Definition for Memory Space
Management
Simple Trigger
 Detection of DML Event for Object
 Provie Event Info. for User
Meta Information & SQL
 Meta Info. Management
by Dictionary Table
 metaManager Tool
 Simple SQL

5. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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GOLDILOCS Internal Module
GOLDILOCKS Instance
Shared Memory
User Data Space
(Object Segment, Index Segment)
System Undo Space
Segment Manager
Disk Log Manager
Disk Log
Lock Manager
Deadlock Checker
Table Manager Queue Manager Index Manager
Listener
Process
Recover
Process
Transaction Manager Dictionary Manager
Recovery
Manager
Property
File
Memory Log
Manager
API Wrapper Error Handler

6. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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User Interface

7. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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User Interface

8. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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User Interface (Example)
You can develop your best performance solutions on
DBMS-like envrionment.
metaManager
[kevin@cheroky ~]$ metaManager
===================================================================
* GOLDILOCKS Meta Manager utility.
* Copyright 2012-2014, OnmirSoft in Sunje Corporation or its subsidiaries.
* All rights reserved.
===================================================================
metaManager> create instance test_ins;
create success
metaManager> create table T1 (
2 c1 char(20) ,
3 c2 int ,
4 c3 int )
5 init 10000000 extend 1000000 max 12000000;
create success
metaManager> create index idx_T1 on T1(c2);
create success
metaManager> insert into T1 values(‘aa’, 1, 2);
1 rows inserted.
metaManager> commit
[kevin@cheroky ~]$
165 typedef struct TABLE {
167 char c1[20];
168 int c2;
169 int c3;
170 } TABLE;
171
185 dbmInitHandle ( &sHandle, (char*) TC_INST_NAME );
186 dbmPrepareTable ( &sHandle, (char*) TABLE_NAME );
187
191 for ( i = nStart; i < nEnd; i++ )
193 {
194 memset ( &data, 0x00, sizeof(TABLE) );
195 sprintf ( data.c1, "%019d", i );
196
197 if ( opType == INSERT )
198 {
200 data.c2 = i;
201 data.c3 = 0;
202 dbmInsertRow ( &sHandle, (char*) TABLE_NAME, (char*)
&data, sizeof(TABLE));
203 dbmCommit ( &sHandle );
204 }
205 else if ( opType == SELECT )
206 {
208 data.c2 = i;
209 dbmSelectRow ( &sHandle, (char*) TABLE_NAME, (char*)
&data );
210 }
212 else if ( opType == UPDATE )
213 {
215 data.c2 = j;
216 dbmSelectForUpdateRow ( &sHandle, (char*) TABLE_NAME,
(char*) &data );
218 data.c3 = data.c3 + 1;
219 dbmUpdateRow ( &sHandle, (char*) TABLE_NAME, (char*)
&data );
220 dbmCommit ( &sHandle );
221 }
Storage API

9. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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Performance
Operation 1-Client 2-Client 4-Client 8-Client Average
Reponse Time
Insert 943,740 1,359,842 1,757,923 1,557,565 1.06 us
Update 1,929,321 3,025,221 4,660,572 5,241,087 0.52 us
Select 1,489,298 2,357,371 4,098,670 4,565,065 0.67 us
Delete 669,120 949,057 1,339,756 1,094,050 1.49 us
Testing Envionment
 CentOS 6.2 (2.6.32-279) Intel(R) Core(TM) i7
– 3820 @ 3.6GHz * 4 Core * 2 Hyper Thread
 5 Millon Record Set
 Record Size : 800 Byte
 Index Key Size : 4 Byte
 Update/Select  Random Search
 Average OPS(Operations per Second)
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
1 2 4 8
OPS
Insert
select
Update
Delete

10. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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Performance
Operation 100,000 1 M 5 M 10 M
Insert 1,579,634 1,602,197 1,557,565 1,563,882
select 5,204,016 5,095,074 5,241,087 5,141,860
Update 4,539,879 4,317,909 4,565,065 4,476,832
Delete 1,133,908 1,115,889 1,094,050 1,157,487
Testing Envionment
No drop in performance with much more number of data records.
 Average OPS(Operations per Second)
with different record count
 CentOS 6.2 (2.6.32-279) Intel(R) Core(TM) i7
– 3820 @ 3.6GHz * 4 Core * 2 Hyper Thread
 8 Client
 Record Size : 800 byte
 Index Key Size : 4byte
 Update/Select  Random Search
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
10만 100만 500만 1,000만건
Insert
select
Update
Delete

11. Pure In-Memory DBMS for High Performance
© 2013 Sunjesoft Corporation. All rights reserved.
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Onmirsoft Ltd. ㈜온미르소프트
서울시 마포구 양화로 11길 36, 지석빌딩 201호(서교동)
Tel 02-322-6288 / 070-4238-6288 Fax 02-322-6788
Mail : smurf@onmirsoft.com
Please mail us to get a package and document.