Webinar2021 - In-Memory Database, is it really faster-.pdf

Dec 19, 20230 likes5 views

Equnix Business Solutions (Equnix) is an IT Solution provider in Indonesia, providing comprehensive solution services especially on the infrastructure side for corporate business needs based on research and Open Source. Equnix has 3 (three) main services known as the Trilogy of Services: Support (Maintenance/Managed), World class level of Software Development, and Expert Consulting and Assessment for High Performance Transactions System. Equnix is customer oriented, not product or principal. Equal opportunity based on merit is our credo in managing HR development.

In-Memory Database
Is it really faster?
Equnix Webinar TechTalk 2021 - June 2021
MYTHBUSTERS

Copyright © 2007-2021 PT Equnix Business Solutions. Copyright is protected by law.
This document is owned by PT Equnix Business Solutions. This document contains conﬁdential information, which
is protected by law. No part of this publication could be photocopied, reproduced or translated into another language
without permitted or the express written consent of PT Equnix Business Solutions.
Data and information regarding the proposal and its offer is for limited use and are not disclosed. The information
contained in this document is subject to change at any time without prior notice.
Copyright Statement

What is In-Memory Database?
❏ It runs on the memory only,
never store data in the
physical disk/storage
❏ It is not persistent.
❏ Data is not really dynamic,
since the update in in batch.
❏
❏ It runs on the memory and
store data in the physical
disk/storage also.
❏ It is Persistent
❏ Data is also dynamic, there
are synchronization in
almost realtime.

How PostgreSQL actually run your Query
● In Parser, Query is parsed then raw parse tree (nodes)
is generated and analyzed into a query tree, if there are
some query can be rewrite, transform query tree using
rule system into more efﬁcient form (ex: OR rewritten
into UNION).
● Planner will estimate the cheapest path for the
execution.
● Executor, the one really executes a user query into a
real tuple result (if expected).

What is Memory Pool?
➔ A Working Memory for the
Executor/Planner database to
sort and ﬁlter page data into a
result.
➔ A Share Cache from Postgres
processes,
Memory for your OS to work,
and Kernel Cache for File
System
Memory for your PostgreSQL
Instance and Heap (Process
local memory)
Memory for Shared Buffer,
Memory Pool

How to Tune PostgreSQL into
In-Memory Performance
★ Fsync Off
★ Use RAMDISK and drop indexes
★ Or Use NVMe Disk for PG Wal

Webinar2021 - In-Memory Database, is it really faster-.pdf

Thank You
Equnix Business Solutions, Pte Ltd.
8 Eu Tong Sen Street, #14-94
THE CENTRAL - Singapore 059818
Equnix Business Solutions, PT.
Sampoerna Strategic Square 25th Floor
Jl. Jend Sudirman - Jakarta 12930
Ep Date Topic Speaker
3 23 June 2021 Myth-buster: Does HA Can Help You Balance Your Load? Lucky Haryadi
4 30 June 2021 Myth-buster: Build Enterprise Level Data Center is more expensive than Cloud Lucky Haryadi
5 7 Juli 2021 Equnix’s Birthday All Equnix Team
6 14 Juli 2021 Friend or Foe: Hiring DBAs or Use Vendors? Chris Travers
7 21 Juli 2021 Friend or Foe: Is Open Source is the right choice for your system? Agatha & Yudha
8 28 Juli 2021 Are you sure that your Application is Enterprise Level? Julyanto & Hani
Don’t miss our next episodes...

The capacity of data grows rapidly in big data area, more and more memory are consumed either in the computation or holding the intermediate data for analytic jobs. For those memory intensive workloads, end-point users have to scale out the computation cluster or extend memory with storage like HDD or SSD to meet the requirement of computing tasks. For scaling out the cluster, the extra cost from cluster management, operation and maintenance will increase the total cost if the extra CPU resources are not fully utilized. To address the shortcoming above, Intel Optane DC persistent memory (Optane DCPM) breaks the traditional memory/storage hierarchy and scale up the computing server with higher capacity persistent memory. Also it brings higher bandwidth & lower latency than storage like SSD or HDD. And Apache Spark is widely used in the analytics like SQL and Machine Learning on the cloud environment. For cloud environment, low performance of remote data access is typical a stop gap for users especially for some I/O intensive queries. For the ML workload, it's an iterative model which I/O bandwidth is the key to the end-2-end performance. In this talk, we will introduce how to accelerate Spark SQL with OAP (https://github.com/Intel-bigdata/OAP) to accelerate SQL performance on Cloud to archive 8X performance gain and RDD cache to improve K-means performance with 2.5X performance gain leveraging Intel Optane DCPM. Also we will have a deep dive how Optane DCPM for these performance gains. Speakers: Cheng Xu, Piotr Balcer

Netezza vs teradataAsis Mohanty

The document compares Netezza and Teradata data warehousing platforms. It discusses their key design principles, technology requirements, physical architectures, parameters for comparison, and evaluation considerations. Netezza uses a two-tier architecture with SMP and SPUs compared to Teradata's node-based architecture. Netezza is also designed for scalability and high performance through its AMPP architecture and intelligent query streaming. The document evaluates both platforms on factors like scalability, manageability, cost and proven track record in supporting large enterprises.

Netezza fundamentals for developersBiju Nair

This document provides an introduction to the Netezza database appliance, including its architecture and key components. The Netezza uses an Asymmetric Massively Parallel Processing (AMPP) architecture with an array of servers (S-Blades) connected to disks. Each S-Blade contains a Database Accelerator card that offloads processing from the CPU. The document outlines the various hardware components and how they work together to process queries in parallel. It also defines common Netezza objects like users, groups, tables and databases that can be created and managed.

Final presentasi gnome asiaAnton Siswo

Presentation in GNOME Asia 2015 which focus in the topic of "In Memory Computing" with the tittle An Overview, Maximize the Ability of The GNU/LINUX Operating System using In Memory Computation for Academic, Business and Government. This paper are mainly focus in moving the root file system from storage device into memory (RAM) device, minimizing bottleneck and maximizing performance, benchmarking and a little snippet script how to do that.

Netezza fundamentals-for-developersTariq H. Khan

This document provides an introduction to Netezza fundamentals for application developers. It describes Netezza's Asymmetric Massively Parallel Processing architecture, which uses an array of servers called S-Blades connected to disks and database accelerator cards to process large volumes of data in parallel. The document aims to help readers quickly understand and use the Netezza appliance through explanations of its components and query processing. It also defines key Netezza terminology and objects.

Kishore_cv.dockishore yasam

Kishore Yasam has over 6 years of experience providing technical support for Tandem Nonstop systems. He currently works as a senior technical associate for FSS, where he monitors system health, CPU utilization, disk space, and performs backups and disk replacements. Previously, he worked as a systems engineer and service engineer, where he performed tasks like configuration of DNS, DHCP, installing operating systems, and troubleshooting hardware and software issues. He has skills in languages like TACL, TAL, and tools like FUP, EMS, SCF. Kishore holds a BSc in Maths and an MCA.

Generic RLM White PaperMike Mendola ([email protected])

This document discusses implementing disk-based data protection and recovery. It recommends taking a tiered approach with five layers - application, production, recovery, protection, and archive tiers. The recovery tier is where disk systems would replace tape to provide faster restore times and more frequent backups. For best results, the document advises selecting a single vendor that can provide tightly integrated, modular solutions for each tier built on a common software platform. This comprehensive approach maximizes reliability while minimizing complexity.

IT Made Me Virtualize Essbase and Performance SucksUS-Analytics

In this presentation, Oracle ACE Brian Marshall focuses on making sure that your transition to a virtualized environment is as smooth as possible. He discusses specific settings in the virtual environment, the operating system, and Essbase to get the most out of your server. Download the presentation to learn: Why IT took your Essbase server An explanation of why your performance sucks now that your server is gone How to fix performance How to prove your performance is better once you've fixed it And more!

[EPPG] Oracle to PostgreSQL, Challenges to OpportunityEqunix Business Solutions

[NetherRealm Studios] Game Studio Perforce ArchitecturePerforce

This document summarizes the Perforce architecture implemented at NetherRealm Studios to support their large-scale game development. They migrated to a virtualized infrastructure using VMware hosted on Cisco UCS servers with NetApp storage. NetApp NFS provided better performance than iSCSI for VM and Perforce storage. Perforce servers use high-RAM, high-core Linux VMs with direct NFS mounts. Redundancy and reliability are ensured through NetApp snapshots, VMware HA, load balancing, and replicas. Management tools provide oversight of resource usage and failures across the stack. This architecture has allowed Perforce to scale with the studio's data-intensive development needs.

Get more I/O performance on fewer servers with Intel Optane DC SSDsPrincipled Technologies

Composing and scaling data platformsSigmoid

This document summarizes Rahul Kumar's talk on composing and scaling data platforms. It discusses how the tools software engineers use shape the software that is built. It also explains how databases affect how developers treat state and mutability. The talk highlights how data platforms range in complexity from caching layers to integrated data pipelines. It discusses composing platforms through concepts like data representation, parallelism, and architecture. Sequential data access and streaming are more efficient than random access. Parallelism and distributing work across servers can scale platforms.

Composing and Scaling Data Platforms-2015Rahul Kumar

This document summarizes Rahul Kumar's talk on composing and scaling data platforms. It discusses how the tools software engineers use shape the software that is built. It also explains how databases affect how developers treat state and mutability. The talk highlights how data platforms range in complexity from caching layers to integrated data pipelines. It discusses composing platforms through sequential data access, parallelism, and service-oriented architectures. The overall aim is to explain how popular approaches to data platforms work and provide different paths for applications.

Oracle to PostgreSQL, Challenges to Opportunity.pdfEqunix Business Solutions

Net App Syncsort Integrated Backup Solution SheetMichael Hudak

NetApp has core technology for block-level data protection . What does Syncsort add? A: Syncsort leverages NetApp core technology while adding the following: Heterogeneous application support for Exchange,Oracle, SQL• Deeper integration with VMware for advanced, automated recovery scenarios• Catalog search and restore across disk-based backup• A catalog that spans both disk and tape• Recovery from SnapMirror DR destinations• Automated Bare Metal Recovery

Ceph Day Shanghai - SSD/NVM Technology Boosting Ceph Performance Ceph Community

This document discusses using SSDs and emerging non-volatile memory technologies like 3D XPoint to boost performance of Ceph storage clusters. It outlines how SSDs can be used as journals and caches to significantly increase throughput and reduce latency compared to HDD-only clusters. A case study from Yahoo showed that using Intel NVMe SSDs with caching software delivered over 2x throughput and half the latency with only 5% of data cached. Future technologies like 3D NAND and 3D XPoint will allow building higher performance, higher capacity SSDs that could extend the use of Ceph.

Performance Tuning introAiougVizagChapter

The document provides an overview of performance tuning for Oracle databases. It discusses tuning goals such as accessing the least number of blocks and caching blocks in memory. It outlines the tuning process which includes tuning the design, application, memory, I/O, contention and operating system. Common performance issues for OLTP systems like I/O bottlenecks are also covered. Various tools for identifying performance problems are presented.

Proven Low-Cost Database for Your BusinessEmbarcadero Technologies

While large enterprises often require complex database systems that support thousands of concurrent users, terabytes of data, and a highly-trained support staff, the needs of most businesses and applications are more modest. InterBase SMP is a proven, highly-reliable, low-cost database that can easily support hundreds of concurrent users and gigabytes of data with no support during normal operation.

Webinar: Sizing Up Object Storage for the EnterpriseStorage Switzerland

Object Storage promises many things - unlimited scalability, both in terms of capacity and file count, low cost but highly redundant capacity and excellent connectivity to legacy NAS. But, despite these promises object storage has not caught on in the enterprise like it has in the cloud. It seems like, for the enterprise object storage just isn’t a good fit. The problem is that most object storage system’s starting capacity is too large. And while connectivity to legacy NAS systems is available, seamless integration is not. Can object storage be sized so that it is a better fit for the enterprise?

Performance tuning introaioughydchapter

Mow2012 data servicesSyed Shaaf

EDS is an open source data virtualization system that allows applications to access and integrate data from multiple heterogeneous data sources through a relational abstraction. It focuses on real-time integration performance, full integration via SQL and procedures, and providing JDBC access. This enables data services and integration of legacy and JPA applications. EDS uses query optimization techniques like access pattern pushdown, dependent and optional joins, and caching to improve performance. It handles large loads through memory buffering, non-blocking source queries, time slicing, and various caching mechanisms. Transactions can be global, local, or at the command level using JTA.

Performance TuningJannet Peetz

The document is Sidra Khan's presentation thanking those who supported her completion of the presentation, including Sir Waseem Mehmood, Sir Mehmood Butt, and her group members. It discusses performance tuning of systems, operating systems, databases, applications, and programming languages. Methods discussed include analyzing problems, determining and testing solutions, and optimizing aspects like response time, throughput, CPUs, I/O, networks, disk arrays, and memory.

Oaklands college: Protecting your data.JISC RSC Eastern

SAP ASE 16 SP02 Performance FeaturesSAP Technology

TripleO Lightning Talkcmsj1

Handle transaction workloads and data mart loads with better performancePrincipled Technologies

Database work is a big deal—in terms of its importance to your company, and the sheer magnitude of the work. Our tests with the Dell EMC PowerEdge R930 server and Unity 400F All-Flash storage array demonstrated that it could perform comparably to an HPE ProLiant DL380 Gen9 server and 3PAR array during OLTP workloads, with a better compression ratio (3.2-to-1 vs. 1.3-to-1). For loading large sets of data, the Dell EMC Unity finished 22 percent faster than the HPE 3PAR, which can result in less hassle for the administrator in charge of data marts. When running both OLTP and data mart workloads in tandem, the Unity array outperformed the HPE 3PAR in terms of orders processed per minute by 29 percent. For additional product information concerning the Unity 400F storage array, visit DellEMC.com/Unity.

Accelerate Your AI TodayDESMOND YUEN

Yang perlu kita ketahui Untuk memahami aspek utama IT dalam bisnis_.pdfEqunix Business Solutions

Kebocoran Data_ Tindakan Hacker atau Kriminal_ Bagaimana kita mengantisipasi...Equnix Business Solutions

More Related Content

Similar to Webinar2021 - In-Memory Database, is it really faster-.pdf (20)

IT Made Me Virtualize Essbase and Performance SucksUS-Analytics

[EPPG] Oracle to PostgreSQL, Challenges to OpportunityEqunix Business Solutions

[NetherRealm Studios] Game Studio Perforce ArchitecturePerforce

Get more I/O performance on fewer servers with Intel Optane DC SSDsPrincipled Technologies

Composing and scaling data platformsSigmoid

Composing and Scaling Data Platforms-2015Rahul Kumar

This document summarizes Rahul Kumar's talk on composing and scaling data platforms. It discusses how the tools software engineers use shape the software that is built. It also explains how databases affect how developers treat state and mutability. The talk highlights how data platforms range in complexity from caching layers to integrated data pipelines. It discusses composing platforms through sequential data access, parallelism, and service-oriented architectures. The overall aim is to explain how popular approaches to data platforms work and provide different paths for applications.

Oracle to PostgreSQL, Challenges to Opportunity.pdfEqunix Business Solutions

Net App Syncsort Integrated Backup Solution SheetMichael Hudak

Ceph Day Shanghai - SSD/NVM Technology Boosting Ceph Performance Ceph Community

Performance Tuning introAiougVizagChapter

Proven Low-Cost Database for Your BusinessEmbarcadero Technologies

Webinar: Sizing Up Object Storage for the EnterpriseStorage Switzerland

Performance tuning introaioughydchapter

Mow2012 data servicesSyed Shaaf

Performance TuningJannet Peetz

Oaklands college: Protecting your data.JISC RSC Eastern

SAP ASE 16 SP02 Performance FeaturesSAP Technology

TripleO Lightning Talkcmsj1

Handle transaction workloads and data mart loads with better performancePrincipled Technologies

Accelerate Your AI TodayDESMOND YUEN

IT Made Me Virtualize Essbase and Performance SucksUS-Analytics

[EPPG] Oracle to PostgreSQL, Challenges to OpportunityEqunix Business Solutions

[NetherRealm Studios] Game Studio Perforce ArchitecturePerforce

Get more I/O performance on fewer servers with Intel Optane DC SSDsPrincipled Technologies

Composing and scaling data platformsSigmoid

Composing and Scaling Data Platforms-2015Rahul Kumar

Oracle to PostgreSQL, Challenges to Opportunity.pdfEqunix Business Solutions

Net App Syncsort Integrated Backup Solution SheetMichael Hudak

Ceph Day Shanghai - SSD/NVM Technology Boosting Ceph Performance Ceph Community

Performance Tuning introAiougVizagChapter

Proven Low-Cost Database for Your BusinessEmbarcadero Technologies

Webinar: Sizing Up Object Storage for the EnterpriseStorage Switzerland

Performance tuning introaioughydchapter

Mow2012 data servicesSyed Shaaf

Performance TuningJannet Peetz

Oaklands college: Protecting your data.JISC RSC Eastern

SAP ASE 16 SP02 Performance FeaturesSAP Technology

TripleO Lightning Talkcmsj1

Handle transaction workloads and data mart loads with better performancePrincipled Technologies

Accelerate Your AI TodayDESMOND YUEN

Recently uploaded (20)

Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma

Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul

Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.

Social Media App Development Company-EmizenTechSteve Jonas

EmizenTech is a trusted Social Media App Development Company with 11+ years of experience in building engaging and feature-rich social platforms. Our team of skilled developers delivers custom social media apps tailored to your business goals and user expectations. We integrate real-time chat, video sharing, content feeds, notifications, and robust security features to ensure seamless user experiences. Whether you're creating a new platform or enhancing an existing one, we offer scalable solutions that support high performance and future growth. EmizenTech empowers businesses to connect users globally, boost engagement, and stay competitive in the digital social landscape.

IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...organizerofv

Top 10 IT Help Desk Outsourcing ServicesInfrassist Technologies Pvt. Ltd.

Mastering Advance Window Functions in SQL.pdfSpiral Mantra

Procurement Insights Cost To Value Guide.pptxJon Hansen

Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies

AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix

Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025 https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/ Is AI just another technology, or does it fundamentally change the way we live and think? Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater. At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts. At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.

Cyber Awareness overview for 2025 month of securityriccardosl1

The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john

Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55

Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...BookNet Canada

Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next. Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/ Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.

Electronic_Mail_Attacks-1-35.pdf by xploitniftliyevhuseyn

Web and Graphics Designing Training in RajpuraErginous Technology

Web & Graphics Designing Training at Erginous Technologies in Rajpura offers practical, hands-on learning for students, graduates, and professionals aiming for a creative career. The 6-week and 6-month industrial training programs blend creativity with technical skills to prepare you for real-world opportunities in design. The course covers Graphic Designing tools like Photoshop, Illustrator, and CorelDRAW, along with logo, banner, and branding design. In Web Designing, you’ll learn HTML5, CSS3, JavaScript basics, responsive design, Bootstrap, Figma, and Adobe XD. Erginous emphasizes 100% practical training, live projects, portfolio building, expert guidance, certification, and placement support. Graduates can explore roles like Web Designer, Graphic Designer, UI/UX Designer, or Freelancer. For more info, visit erginous.co.in , message us on Instagram at erginoustechnologies, or call directly at +91-89684-38190 . Start your journey toward a creative and successful design career today!

ThousandEyes Partner Innovation Updates for May 2025ThousandEyes

Linux Professional Institute LPIC-1 Exam.pdfRHCSA Guru

Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo

AI and Data Privacy in 2025: Global TrendsInData Labs

In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy. This infographic contains: -AI and data privacy: Key findings -Statistics on AI data privacy in the today’s world -Tips on how to overcome data privacy challenges -Benefits of AI data security investments. Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.

tecnologias de las primeras civilizaciones.pdffjgm517

Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma

Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul

Social Media App Development Company-EmizenTechSteve Jonas

IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...organizerofv

Top 10 IT Help Desk Outsourcing ServicesInfrassist Technologies Pvt. Ltd.

Mastering Advance Window Functions in SQL.pdfSpiral Mantra

Procurement Insights Cost To Value Guide.pptxJon Hansen

Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies

AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix

Cyber Awareness overview for 2025 month of securityriccardosl1

The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john

Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55

Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...BookNet Canada

Electronic_Mail_Attacks-1-35.pdf by xploitniftliyevhuseyn

Web and Graphics Designing Training in RajpuraErginous Technology

ThousandEyes Partner Innovation Updates for May 2025ThousandEyes

Linux Professional Institute LPIC-1 Exam.pdfRHCSA Guru

Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo

AI and Data Privacy in 2025: Global TrendsInData Labs

tecnologias de las primeras civilizaciones.pdffjgm517

Webinar2021 - In-Memory Database, is it really faster-.pdf

1. In-Memory Database Is it really faster? Equnix Webinar TechTalk 2021 - June 2021 MYTHBUSTERS

2. Copyright © 2007-2021 PT Equnix Business Solutions. Copyright is protected by law. This document is owned by PT Equnix Business Solutions. This document contains conﬁdential information, which is protected by law. No part of this publication could be photocopied, reproduced or translated into another language without permitted or the express written consent of PT Equnix Business Solutions. Data and information regarding the proposal and its offer is for limited use and are not disclosed. The information contained in this document is subject to change at any time without prior notice. Copyright Statement

3. Our Client and Partners

4. What is In-Memory Database? ❏ It runs on the memory only, never store data in the physical disk/storage ❏ It is not persistent. ❏ Data is not really dynamic, since the update in in batch. ❏ ❏ It runs on the memory and store data in the physical disk/storage also. ❏ It is Persistent ❏ Data is also dynamic, there are synchronization in almost realtime.

5. How PostgreSQL actually run your Query ● In Parser, Query is parsed then raw parse tree (nodes) is generated and analyzed into a query tree, if there are some query can be rewrite, transform query tree using rule system into more efﬁcient form (ex: OR rewritten into UNION). ● Planner will estimate the cheapest path for the execution. ● Executor, the one really executes a user query into a real tuple result (if expected).

6. What is In-Memory Database?

7. What is Memory Pool? ➔ A Working Memory for the Executor/Planner database to sort and ﬁlter page data into a result. ➔ A Share Cache from Postgres processes, Memory for your OS to work, and Kernel Cache for File System Memory for your PostgreSQL Instance and Heap (Process local memory) Memory for Shared Buffer, Memory Pool

8. How to Tune PostgreSQL into In-Memory Performance ★ Fsync Off ★ Use RAMDISK and drop indexes ★ Or Use NVMe Disk for PG Wal

10. Let’s have a Demo

12. Thank You Equnix Business Solutions, Pte Ltd. 8 Eu Tong Sen Street, #14-94 THE CENTRAL - Singapore 059818 Equnix Business Solutions, PT. Sampoerna Strategic Square 25th Floor Jl. Jend Sudirman - Jakarta 12930 Ep Date Topic Speaker 3 23 June 2021 Myth-buster: Does HA Can Help You Balance Your Load? Lucky Haryadi 4 30 June 2021 Myth-buster: Build Enterprise Level Data Center is more expensive than Cloud Lucky Haryadi 5 7 Juli 2021 Equnix’s Birthday All Equnix Team 6 14 Juli 2021 Friend or Foe: Hiring DBAs or Use Vendors? Chris Travers 7 21 Juli 2021 Friend or Foe: Is Open Source is the right choice for your system? Agatha & Yudha 8 28 Juli 2021 Are you sure that your Application is Enterprise Level? Julyanto & Hani Don’t miss our next episodes...

13. Our Sponsor

Webinar2021 - In-Memory Database, is it really faster-.pdf

Recommended

More Related Content

Similar to Webinar2021 - In-Memory Database, is it really faster-.pdf (20)

More from Equnix Business Solutions (20)

Recently uploaded (20)

Webinar2021 - In-Memory Database, is it really faster-.pdf