Project voldemort - When relation database is not enough (too much?)
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Project Voldemort is a key-value database that provides an alternative API to relational databases. It is designed to be scalable, efficient, and highly available through partitioning and replication. The database partitions data across multiple nodes and provides client-side routing to retrieve values based on keys. It aims to provide a "persistent hashmap" and "less than a relational database."
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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Project voldemort - When relation database is not enough (too much?)
- 1. Project Voldemort Whenrelationdatabaseis not enough (too much?)
- 2. Tomasz Nurkiewicz Graduated Warsaw University Of Technology (Faculty of Electronics and Information Technology) SCJP, SCJD, SCWCD, SCBCD Brown belt on JavaBlackBelt.com Fewcommitsin: Commons Lang, Logback, Mule ESB Currentlyworking as a developer atJAVART http://nurkiewicz.blogspot.com
- 3. WhatisVoldemort not? Relationaldatabase Alternative API to RDB Distributedcache
- 4. ...so? Key-valuedatabase „PersistentHashMap” Keywords: Clusterready Scalability (no master) Efficient (partitioning) High availability „Less than” relationdatabase
- 5. Voldemortvs. HashMap Partitionsvs. hash-buckets Whereis my stuff? – clientsiderouting 0 4 8 12 16 node1 1 5 9 13 17 node2 2 6 10 14 18 node3 3 7 11 15 19 node4
- 6. API – StoreClient<K, V> getValue(K key): V getAll(Iterable<K> keys): Map<K, V> put(K key, V value) delete(K key): boolean getResponsibleNodes(K key): List<Node> … extendsjava.util.Map<K, V>?
- 7. Voldemortcluster DEMO node1 node2 node3 node4 localhost:6101 localhost:6102 localhost:6103 localhost:6104
- 8. Connection (One to rulethemall) ClientConfigconfig = newClientConfig(); config.setBootstrapUrls("tcp://server:6101"); SocketStoreClientFactoryfactory = newSocketStoreClientFactory(config); StoreClient<K, V> client = factory.getStoreClient("users"); No replication – efficient, but risky
- 9. Storeconfiguration (stores.xml) N (<replication-factor>) R (<required-reads>) W (<required-writes>) Serialization JSON – onlyprimitives, dates and collections protobuf – (Google) String (e.g. XML) Java (Serializable)
- 10. Clusterconfiguration (cluster.xml) <cluster> <name>Usercluster</name> <server> <id>1</id> <host>192.168.0.17</host> <socket-port>6101</socket-port> <partitions>0, 4, 8, 12, 16</partitions> </server> Persistency: MySQL, Berkeley DB, RAM
- 11. Rebalancing 0 4 8 12 16 node1 1 5 9 13 17 node2 2 6 10 14 18 node3 3 7 11 15 19 node4 node5
- 14. Whatelse? JMX (bothclient and server) Views (non-materialized) HTTP interface (not REST though) Hintedhandoff
- 15. Happy clustering! http://project-voldemort.com http://www.infoq.com/presentations/Project-Voldemort-Scaling-Simple-Storage http://www.infoq.com/presentations/Project-Voldemort-at-Gilt-Groupe http://behemoth.strlen.net/~alex/voldemort-nosql_live.ppt http://www.slideshare.net/hadoopusergroup/hadoop-and-voldemort-linkedin http://www.vineetgupta.com/2010/01/nosql-databases-part-1-landscape.html http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key-value-stores