Student projects with open source CSQL

Main Memory Caching Database Open Source [email_address] Architect www.lakshyasolutions.com

CSQL MMDB India’s 1 st == World’s Fastest Small Memory footprint ~ 750KB

Query operations without using CSQLCache 150 times faster execution using CSQLCache

Who is watching us?

CSQL Introduction Open Source Main Memory Database Small Footprint (< 1 MB) Embedded architecture High performance (100K selects/sec, 50K writes/sec) Highly concurrent Implemented in C++ Middle tier caching for any DRDB Platform - Linux (soon on Solaris)

MMDB is better than DRDB
Hardware trend:
CPU speed, memory & Disk capacity grows 80%/yr
Memory performance grows 10%/yr
Disk speed remains same
Price of memory continues to drop
Access time for main memory is orders of magnitude less than that of disk. (100ns VS 10 ms)
Application queries require random access most of the time(point lookups)
Data resides permanently on main memory. No disk I/Os
No buffer manager overhead
Data Structures and algorithms are designed for memory access rather than disk access

CSQL is faster Performance : Developed from scratch keeping one thing in mind- performance . Direct access to data : uses shared memory architecture User Level Mutexes: Hand written using atomic instructions Custom Allocators : Fixed and Variable Size Allocators Zero disk I/O : No redo logs, checkpoint Embedded Architecture : No network overhead, no data copies Tightly coupled : code segments which are performance critical are tightly coupled to avoid data copies

SQL Support
DDL:
CREATE TABLE
DROP TABLE
CREATE INDEX
DROP INDEX
DML:
INSERT INTO <tablename> [fieldNameList] VALUES (valuelist)
UPDATE <tablename> SET fldname=value , ... [WHERE <condition>]
DELETE FROM <tablename> [WHERE <condition>]
SELECT <* | fieldNameList> FROM <tablelist> [WHERE <condition>]
condition shall be [NOT] <predicate> <AND | OR > <predicate> predicate shall be <fieldName> <"=, !=, >,<, >=, <="> [fieldName | value] | <fieldName> [NOT] <BETWEEN value AND value> | <fieldName >[NOT] <IN valuelist> | <fieldName> LIKE for character datatype

Storage Manager
Provides mechanism for storing, indexing, retrieving data from the physical data store
Atomicity – All or none
Consistency – takes from one consistent state to another
Isolation – behavior with respect to other transactions
Highly concurrent - Multi Threaded Architecture
Custom Allocators - Fixed and Variable size allocators
Fault Tolerance – Process failures
Multi user – Authentication, Roles
Multi granular locking – Database, Table, Row
Hash Index - for point lookup
Tree Index - for Range queries
Relational Objects - Table, Session
OS Layer - to ease porting

Benchmark Results (Comparison with Mysql) Configuration: Dell 1GB RAM, Linux 2.6 Kernel Table: T1 (f1 integer primary key, f2 char(196)) Note: All numbers in microsecs. All other operations are for single row based on primary key value

Student Benefits Participate in India’s biggest open source product Secure your future in IT industry Become C++ expert on Linux Get to know the tools and techniques involved in real life development Get recognized by experts in Industry Companies value open source contribution

How to start? Training & Documentation Video lectures on DBMS, OS, Computer languages Webinars on CSQL, API, Design, Introduction Wiki pages for knowledge sharing User Manual Architecture Design Documentation Source Code Collaboration Tools Well managed project (CVS, Bug/Feature tracker) Forums, Blogs, IRChat

Features for Students Trigger Support Set operation Referential Integrity Perl / Python Driver MySQL Adapter Procedure support Expression Engine Any feature you find missing in CSQL

Come join the CSQL community… www.csqlcache.com

Student projects with open source CSQL

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