This document summarizes an approach to providing high-performance storage services using Java and HailDB. It discusses using the optimized "guts" of MySQL without needing to go through JDBC and SQL. It presents HailDB as a storage engine alternative to NoSQL options like Voldemort. It describes integrating HailDB with Java using JNA, building a REST API on top called St8, and examples of nifty applications like graph stores and counters. It concludes with discussing future work like improving packaging, online backup, and exploring JNI bindings.
Database Sharding the Right Way: Easy, Reliable, and Open source - HighLoad++...CUBRID
The presentation the CUBRID team presented at Russian HighLoad++ Conference in October, 2012. The presentation covers the topic of Big Data management through Database Sharding. CUBRID open source RDBMS provides native support for Sharding with load balancing, connection pooling, and auto fail-over features.
MongoDB and Ecommerce : A perfect combinationSteven Francia
Presentation given at the MongoDB NYC Meetup by Steve Francia, VP of Engineering at OpenSky. OpenSky uses MongoDB to develop the next ecommerce platform. OpenSky also uses Symfony 2, Doctrine 2, PHP 5.3, PHPUnit 3.5, jQuery, node.js, Git (with gitflow) and a touch of Java and Python. The OpenSky team contributes back to many of these technologies and employs core members of the Symfony 2 and Doctrine 2 teams.
MariaDB started life as a database to host the Maria storage engine in 2009. Not long after its inception, the MySQL community went through yet another change in ownership, and it was deemed that MariaDB will be a complete database branch developed to extend MySQL, but with constant merging of upstream changes.
The goal of the MariaDB project is to ensure that everyone is part of the community, including employees of the major steering companies. MariaDB also features enhanced features, some of which are common with the Percona Performance Server. Most importantly, MariaDB is a drop-in replacement and is completely backward compatible with MySQL. In 2010, MariaDB released 5.1 in February, and 5.2 in November – two major releases in a span of one calendar year is a feat that was achieved!
DBAs and developers alike will gain an introduction to MariaDB, what is different with MySQL, how to make use of the feature enhancements, and more.
Database Sharding the Right Way: Easy, Reliable, and Open source - HighLoad++...CUBRID
The presentation the CUBRID team presented at Russian HighLoad++ Conference in October, 2012. The presentation covers the topic of Big Data management through Database Sharding. CUBRID open source RDBMS provides native support for Sharding with load balancing, connection pooling, and auto fail-over features.
MongoDB and Ecommerce : A perfect combinationSteven Francia
Presentation given at the MongoDB NYC Meetup by Steve Francia, VP of Engineering at OpenSky. OpenSky uses MongoDB to develop the next ecommerce platform. OpenSky also uses Symfony 2, Doctrine 2, PHP 5.3, PHPUnit 3.5, jQuery, node.js, Git (with gitflow) and a touch of Java and Python. The OpenSky team contributes back to many of these technologies and employs core members of the Symfony 2 and Doctrine 2 teams.
MariaDB started life as a database to host the Maria storage engine in 2009. Not long after its inception, the MySQL community went through yet another change in ownership, and it was deemed that MariaDB will be a complete database branch developed to extend MySQL, but with constant merging of upstream changes.
The goal of the MariaDB project is to ensure that everyone is part of the community, including employees of the major steering companies. MariaDB also features enhanced features, some of which are common with the Percona Performance Server. Most importantly, MariaDB is a drop-in replacement and is completely backward compatible with MySQL. In 2010, MariaDB released 5.1 in February, and 5.2 in November – two major releases in a span of one calendar year is a feat that was achieved!
DBAs and developers alike will gain an introduction to MariaDB, what is different with MySQL, how to make use of the feature enhancements, and more.
NoSQL databases such as Redis, MongoDB and Cassandra are emerging as a compelling choice for many applications. They can simplify the persistence of complex data models and offer significantly better scalability and performance. However, using a NoSQL database means giving up the benefits of the relational model such as SQL, constraints and ACID transactions. For some applications, the solution is polyglot persistence: using SQL and NoSQL databases together.
In this talk, you will learn about the benefits and drawbacks of polyglot persistence and how to design applications that use this approach. We will explore the architecture and implementation of an example application that uses MySQL as the system of record and Redis as a very high-performance database that handles queries from the front-end. You will learn about mechanisms for maintaining consistency across the various databases.
MariaDB: in-depth (hands on training in Seoul)Colin Charles
MariaDB: in-depth is training that was conducted for partners selling/deploying MariaDB in Seoul. Its a practical hands-on introduction that can be completed in 1-day.
* If you see the screen is not good condition, downloading please. *
Introduction to MariaDB
- mariadb oracle mysql comparison
- mariadb install step by step
- mariadb basic query
Run Cloud Native MySQL NDB Cluster in KubernetesBernd Ocklin
The more your database aligns with Cloud Native principles such as resilience, scaling, auto-healing and data consistency across all nodes, the better it also runs as DBaaS in Kubernetes. I walk through running databases in Kubernetes and demos manual deployment and deployment with an NDB operator.
This talk was given at the MySQL Dev Room FOSDEM 2021.
Researching an alternative to the MS SQL database - first of all in order to gain additional technological benefits, secondly moving towards an open source way of development.
The idea behind this presentation was to introduce PostgreSQL (ver. 9.4+) in a different manner than a conventional "Pros Vs. Cons" style, it is more likely to be a "Buzz Word" thesaurus (of course based on a deep research).
P.S. Since it's a presentation, there was no intention going over and covering all of the PostgreSQL features - most of the interesting parts.
A Presentation on MongoDB Introduction - HabilelabsHabilelabs
It is Scalable High-Performance Open-source, Document-orientated database.
Built for Speed - the performance of traditional key-value stores while maintaining functionality of traditional RDBMS.
NoSQL databases such as Redis, MongoDB and Cassandra are emerging as a compelling choice for many applications. They can simplify the persistence of complex data models and offer significantly better scalability and performance. However, using a NoSQL database means giving up the benefits of the relational model such as SQL, constraints and ACID transactions. For some applications, the solution is polyglot persistence: using SQL and NoSQL databases together.
In this talk, you will learn about the benefits and drawbacks of polyglot persistence and how to design applications that use this approach. We will explore the architecture and implementation of an example application that uses MySQL as the system of record and Redis as a very high-performance database that handles queries from the front-end. You will learn about mechanisms for maintaining consistency across the various databases.
MariaDB: in-depth (hands on training in Seoul)Colin Charles
MariaDB: in-depth is training that was conducted for partners selling/deploying MariaDB in Seoul. Its a practical hands-on introduction that can be completed in 1-day.
* If you see the screen is not good condition, downloading please. *
Introduction to MariaDB
- mariadb oracle mysql comparison
- mariadb install step by step
- mariadb basic query
Run Cloud Native MySQL NDB Cluster in KubernetesBernd Ocklin
The more your database aligns with Cloud Native principles such as resilience, scaling, auto-healing and data consistency across all nodes, the better it also runs as DBaaS in Kubernetes. I walk through running databases in Kubernetes and demos manual deployment and deployment with an NDB operator.
This talk was given at the MySQL Dev Room FOSDEM 2021.
Researching an alternative to the MS SQL database - first of all in order to gain additional technological benefits, secondly moving towards an open source way of development.
The idea behind this presentation was to introduce PostgreSQL (ver. 9.4+) in a different manner than a conventional "Pros Vs. Cons" style, it is more likely to be a "Buzz Word" thesaurus (of course based on a deep research).
P.S. Since it's a presentation, there was no intention going over and covering all of the PostgreSQL features - most of the interesting parts.
A Presentation on MongoDB Introduction - HabilelabsHabilelabs
It is Scalable High-Performance Open-source, Document-orientated database.
Built for Speed - the performance of traditional key-value stores while maintaining functionality of traditional RDBMS.
How does Apache Pegasus (incubating) community develop at SensorsDataacelyc1112009
A presentation in ApacheCon Asia 2022 from Dan Wang and Yingchun Lai.
Apache Pegasus is a horizontally scalable, strongly consistent and high-performance key-value store.
Know more about Pegasus https://pegasus.apache.org, https://github.com/apache/incubator-pegasus
Vote NO for MySQL - Election 2012: NoSQL. Researchers predict a dark future for MySQL. Significant market loss to come. Are things that bad, is MySQL falling behind? A look at NoSQL, an attempt to identify different kinds of NoSQL stores, their goals and how they compare to MySQL 5.6. Focus: Key Value Stores and Document Stores. MySQL versus NoSQL means looking behind the scenes, taking a step back and looking at the building blocks.
NoSQL is not a buzzword anymore. The array of non- relational technologies have found wide-scale adoption even in non-Internet scale focus areas. With the advent of the Cloud...the churn has increased even more yet there is no crystal clear guidance on adoption techniques and architectural choices surrounding the plethora of options available. This session initiates you into the whys & wherefores, architectural patterns, caveats and techniques that will augment your decision making process & boost your perception of architecting scalable, fault-tolerant & distributed solutions.
This is from a 2 hour talk introducing in-memory databases. First a look at traditional RDBMS architecture and some of it's limitations, then a look at some in-memory products and finally a closer look at OrigoDB, the open source in-memory database toolkit for NET/Mono.
C* Summit 2013: Cassandra at eBay Scale by Feng Qu and Anurag JambhekarDataStax Academy
We have seen rapid adoption of C* at eBay in past two years. We have made tremendous efforts to integrate C* into existing database platforms, including Oracle, MySQL, Postgres, MongoDB, XMP etc.. We also scale C* to meet business requirement and encountered technical challenges you only see at eBay scale, 100TB data on hundreds of nodes. We will share our experience of deployment automation, managing, monitoring, reporting for both Apache Cassandra and DataStax enterprise.
Виталий Бондаренко "Fast Data Platform for Real-Time Analytics. Architecture ...Fwdays
We will start from understanding how Real-Time Analytics can be implemented on Enterprise Level Infrastructure and will go to details and discover how different cases of business intelligence be used in real-time on streaming data. We will cover different Stream Data Processing Architectures and discus their benefits and disadvantages. I'll show with live demos how to build Fast Data Platform in Azure Cloud using open source projects: Apache Kafka, Apache Cassandra, Mesos. Also I'll show examples and code from real projects.
Big Data Day LA 2016/ Big Data Track - How To Use Impala and Kudu To Optimize...Data Con LA
This session describes how Impala integrates with Kudu for analytic SQL queries on Hadoop and how this integration, taking full advantage of the distinct properties of Kudu, has significant performance benefits.
We prepared a small 30 min workshop for the Dutch Java User Group to introduce MongoDB basics. This slideshow contains the mongoDB concepts, which will be workout basic in labs . The labs could be found at: http://mongodb.info/labs/
MariaDB 10: A MySQL Replacement - HKOSC Colin Charles
MariaDB 10: A MySQL Replacement. Current up to 10.0.9, right before the 10.0.10 GA release presented the weekend before the release in Hong Kong, at the Hong Kong Open Source Conference.
Similar to High-Performance Storage Services with HailDB and Java (20)
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. whoami
• Sunny Gleason, human
• passion: distributed systems engineering
• previous...
Ning : custom social networks
Amazon.com : infra & web services
• now...
building cloud infrastructure
4. what’s in this presentation?
• MySQL & NoSQL as Inspiration
• HailDB & InnoDB
• JNA: Integration with Java
• St8 : A REST-Enabled Data Store
• A Handful of Nifty Applications
• Results & Next Steps
5. prior art
• Mad props to:
• MySQL & InnoDB teams for creating InnoDB
and Embedded InnoDB
• Stewart Smith & Drizzle folks for leading the
HailDB charge and encouraging plugin apis
• Nokia & Percona for publishing results of their
Voldemort / MySQL integration
• Basho for publishing Riak / InnoStore integration
6. MySQL & InnoDB
• Super-Efficient Database Server
• Tried & True Replication
• Bulletproof Durability (when configured
correctly)
• Fantastic Stability, Predictability & Insight
into Operation
7. motivation
• database on 1 box : ok
• database with master/slave replication : ok
• database on cluster : tricky
• database on SAN : scary
8. NoSQL
• “Not Only” SQL
• What’s the point?
• Proponent: “reaching next level of scale”
• Cynic: “cloud is hype, ops nightmare”
9. what does it gain?
• Higher performance, scalability, availability
• More robust fault-tolerance
• Simplified systems design
• Easier operations
10. what does it lose?
• Reduced / simplified programming model
• No ad-hoc queries, no joins, no txns
• Not ACID: Weakened Atomicity /
Consistency / Isolation / Durability
• Operations / management is still evolving
• Challenging to quantify health of system
• Fewer domain experts
11. NoSQL Map
KV Stores
(volatile) Memcached,
Redis
KV Stores Dynamo,
Key-Value (durable) Voldemort,
Store
Riak
Document
Store
NoSQL CouchDB,
MongoDB
Column
Store Cassandra,
BigTable,
HBase
Graph
Neo4J
Store
12. durable vs. volatile
• RAM is ridiculous speed (ns), not durable
• Disk is persistent and slow (3-7ms)
• RAID eases the pain a bit (4-8x throughput)
• SSD is providing good promise (100-300us)
• FusionIO is redefining the space (30-100us)
13. performance &
operational complexity*
+ Sharding
Complexity
+FusionIO
+SSD
MySQL Voldemort +Cluster
Memcached
1K 10K 100K 1M
Aggregate Operations / Sec
* This is not a real graph
14. just a thought...
What if we could use the highly optimized &
durable ‘guts’ of MySQL without having to go
through JDBC & SQL?
15. enter HailDB
• use case:Voldemort Storage Engine
• let’s evaluate relative to other NoSQL
options
• focus on stability & predictability of
performance
• Graphs are throughput (ops/sec) vs. time
18. BDB-JE
• Log-Structured B-Tree
• Fast Storage When Mostly Cached
• Configured without fsync() by default -
writes are batched and flushed periodically
20. Krati
• Fast Hash-Oriented Storage
• Uses memory-mapped files for speed
• Configured without fsync() by default -
writes are batched and flushed periodically
23. HailDB & Java
• g414-haildb : where the magic happens
• Open Source on GitHub
• uses JNA: Java Native Access
• dynamic binding to libhaildb shared library
• auto-generate initial Java class from .h file
(w/ JNAerator)
• Pointer classes & other shenanigans
24. implementation gotchas
• InnoDB API-level usage is unclear
• Synchronization & locking is unclear
• Therefore... I learned to love reading C
• Error handling is *nasty*
• Native library installation a bit of a pain
(need to configure LD_LIBRARY_PATH)
26. St8 Server
• HTTP-enabled Access to HailDB
• PUT /1.0/t/mytable
{
"columns":[
{"name":"a","type":"INT","length":4},
{"name":"b","type":"INT","length":8},
{"name":"c","type":"BLOB","length":0},
],
"indexes":[
{
"name":"P",
"clustered":true,"unique":true,
"indexColumns":[{"name":"a"}]
}
]
}
27. rest-enabled access
• GET /1.0/d/mytable;a=0
• POST /1.0/d/mytable;a=1;b=42;c=xyz
• PUT /1.0/d/mytable;a=1;b=43;c=abc
• DELETE /1.0/d/mytable;a=0
*This is matrix-param style, can also use form
data style for specifying data
28. cursors & iterators
• GET /1.0/i/mytable.P?q=a+ge+4
• GET /1.0/i/mytable.SecIndex?q=b+le+4
• GET /1.0/i/mytable.SecIndex?q=b+le+4
&s=abce1212121ceeee2120911
• “s” value is opaque index key of next page
of results - way better than LIMIT/OFFSET!
(since HailDB can seek directly to the row)
29. result
• REST API provides fun, straightforward
access from Ruby, Python, Java, Command-
line...
• very easy benchmarking with HTTP-based
performance tools
• range query support, and more efficient
iteration model for large result sets than
MySQL provides
30. high-performance counts
• GET /1.0/counts/mykey
0
• POST /1.0/counts/mykey[?inc=1]
1
• POST /1.0/counts/mykey?inc=42
43
• DELETE /1.0/counts/mykey
31. counts schema
• HailDB count service schema
_id int 8-byte unsigned,
_key_hash int 8-byte unsigned,
_key varchar(80),
_count int 8-byte unsigned
primary key (“_id”)
unique key (“_key_hash”, “key”)
36. operation: graph store
• Social networks, recommendations, any
relation you can think of
• Which would you prefer?
• SQL adjacency list, stored procedure,
custom storage engine, external
(Memcached), ...
• Graph-aware HailDB application in Java
39. nifty recovery tool
(Just an idea)
• for recovery: shut down mysql server
• run HailDB-enabled recovery tool
• export as JSON or whatever
40. wrap-up
• HailDB & InnoDB are phenomenal
• With g414-haildb, can be integrated directly
into applications running on the JVM
• All the InnoDB tuning tricks apply
• Opens up new applications that are tricky
with a traditional SQL database
45. InnoDB tuning
• Skinny columns, skinny rows! (esp. Primary Key)
• Varchar enum ‘bad’, enum, int or smallint ‘good’
• fixed-width rows allow in-place updates
• Use covering indexes strategically
• More data per page means faster index scans,
more efficient buffer pool utilization
• You only get so many trx’s (read & write) on given
CPU/RAM configuration - benchmark this!
• Strategically offload reads to Memcached/Redis
48. online backup
• hot backup of data to other machine /
destination
• test Percona Xtrabackup with HailDB
• next step: backup/export to Hadoop/HDFS
(similar to Cloudera Sqoop tool)
49. JNI bindings
• JNI can get 2-5x perf boost vs. JNA
• ... at the expense of nasty code
• Will go for schema optimizations and
InnoDB tuning tips *first*
