Clusterpoint

Margarita Sudņikams11077

RDBMS & NoSQL

Databases & tables → Document stores

Columns, rows → Schemaless documents

Scales UP → Scales UP & OUT

Replications → Sharding & Replications

For table like data → Unstructured data

Legacy & mature → New

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Clusterpoint

A scalable high-speed NoSQL database technology with Google-like search

Manually ranking (svara piešķiršana)

Solves 2 big data access problems: Long time waiting for query execution

Querry execution 0,005-0,5 seconds Loads of information

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Arhitecture

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Application

Clusterpoint server

software

HT

TP

DOCUMENTS

MAILS

CONTACTS

PROJECTS

CUSTOMERS

EMPLOYEES

CLUSTER NODES (multi-server

hardware)

STAND-ALONE SERVER

Clusterpoint

Data storage model xml

Supported formats Json Xml HTML Text

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Features

Full context search

Unlimted database size

Guaranteed querry size <0,5 s

Clustering as default feature

Scallable database mirroring

Snippets with search hits

Web friendly api

Flexible data relevancy rules21.04.23

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Access

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SearchFree text

Phrase

Wildcards

Patterns matches by lookup John Smith

In XML database structure

Did you mean “...?” feature

Faceted search and navigation

Full data index for xml data21.04.23

API

Simple, robust XML messagingXML request/response similar to SOAP

Transport– http, https (post, get)– tcp– unix domain socket

> 20 API commands

Libraries: PHP, .NET (web service)

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API message

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<?xml version=”1.0” encoding=”REQUEST-ENCODING”?><cpse:request xmlns:cpse=”www.clusterpoint.com”><cpse:storage>storage name</cpse:storage><cpse:command>command name</cpse:command><cpse:timestamp>message date and time</cpse:timestamp><cpse:requestid>message number</cpse:requestid><cpse:application>creator of message</cpse:application><cpse:user>user name</cpse:user><cpse:password>user password</cpse:password><cpse:reply_charset>reply encoding</cpse:reply_charset><cpse:content>

</cpse:content></cpse:request>

Search

<query> search query </query><docs> number of documents </docs><offset> intend from the beginning </offset><case_sensitive> boolean type parameter</case_sensitive><relevance> boolean type parameter</relevance><group_size> maximum from one group </group_size><rate_from> FROM value </rate_from><rete_to> TO value </rate_to>

Insert

<document><id>document id</id><title>document title</title><rate>document rate</rate><info>meta data</info><site>document id</site><text>textual information</text><hidden>information that is not shown</hidden></document>

Lookup

<document><id>document id</id></document>

Platform

Runs on *nix (tested on Linux and FreeBSD)

Written in C/C++

Optimized for multi-core processorsSource code is IP of Clusterpoint

written from the scratch

PORTS

Data tcp: 5550, 80

Unix domains sockets

Cluster discovery UDP: 234.25.25.25:5550 21.04.23

ParametersDisk space

1.,5-2 times more than disk space Data of 100 GB = 150-200 GB The amount doesn’t include space for log files, as its

possible rotate and backup files, While file load and indexing size can increase 3-4

times, then return to normal size

RAM more RAM - more cached data –better

performance usually recomended >4 GB

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Use

ComplementarySolving performance issues and bottlenecks of existing database systems

StandaloneApplication is implemented using Clusterpoint DBMS

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APP server

SQL

USERS

Clusterpoint XML

DBMS

XML

APP server

USERS

THANK YOU

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