MySQL és Hadoop mint Big Data platform (SQL + NoSQL = MySQL Cluster?!)
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1 MySQL és Hadoop mint Big Data platform (SQL + NoSQL = MySQL Cluster?!) Erdélyi Ernő, Component Soft Kft. erno@component.hu (c) Component Soft Ltd
2 Leading Hadoop Vendor Copyright 2013, Oracle and/or its affiliates. All rights reserved.
3 MySQL Cluster: Overview HIGH SCALE, READS + WRITES Auto-Sharding, Multi-Master ACID Compliant, OLTP + Real-Time Analytics % AVAILABILITY Shared nothing, no Single Point of Failure Self Healing + On-Line Operations REAL-TIME In-Memory Optimization + Disk-Data Predictable Low-Latency, Bounded Access Time SQL + NoSQL Key/Value + Complex, Relational Queries SQL + Memcached + JavaScript + Java + JPA + HTTP/REST & C++ LOW TCO Open Source + Commercial Editions Commodity hardware + Management, Monitoring Tools 3
4 Who s Using MySQL Cluster? 4
5 MySQL Cluster Architecture Clients Application Layer Management MySQL Cluster Data Nodes Data Layer 5
6 MySQL Cluster Architecture On-Line Scaling Clients Application Layer Management MySQL Cluster Data Nodes Management Data Layer 6
7 MySQL Cluster Architecture No Single Point of Failure Clients Application Layer Management Management MySQL Cluster Data Nodes 8
8 Automatic Data Partitioning Table T1 Data Node 1 Px P1 P2 P3 P4 Partition Data Node 2 Data Node 3 Data Node 4 9
9 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 Data Node 2 P3 Data Node 3 P4 Primary Fragment Secondary Fragment Data Node 4 10
10 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 Data Node 2 F1 P3 Data Node 3 P4 Primary Fragment Secondary Fragment Data Node 4 11
11 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 Data Node 2 F3 F1 P3 Data Node 3 P4 Primary Fragment Secondary Fragment Data Node 4 12
12 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 F3 Data Node 2 F3 F1 P3 Data Node 3 P4 Primary Fragment Secondary Fragment Data Node 4 13
13 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 F3 Data Node 2 F3 F1 P3 P4 Data Node 3 F2 F4 Primary Fragment Secondary Fragment Data Node 4 F4 F2 14
14 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 F3 Data Node 2 F3 F1 Node Group 1 P3 P4 Data Node 3 F2 F4 Primary Fragment Secondary Fragment Data Node 4 F4 F2 Node Group 2 15
15 Automatic Data Partitioning Table T1 Px P1 P2 Partition Data Node 1 F1 F3 Data Node 2 F3 F1 Node Group 1 P3 P4 Data Node 3 F2 F4 Primary Fragment Secondary Fragment Data Node 4 F4 F2 Node Group 2 16
16 On-line Scheduled Maintenance Scale Backup Evolve Upgrade 17
17 Multi-Data Center Availability Geographic Replication Geographic Replication DR and Data Locality Replicate complete clusters across data centers Fully active/active No passive resources Split individual clusters across data centers Synchronous replication & auto-failover between sites 18
18 MySQL NoSQL APIs Design Goals: Fast, Flexible and Safe Blazing Fast Key / Value Queries Fully transactional / ACID NoSQL + SQL across same Data Set Combined with Schema Flexibility: Online DDL Copyright 2013, Oracle and/or its affiliates. All rights reserved.
19 API Flexibility: SQL & NoSQL Combined Clients Native memcached HTTP/REST JDBC / ODBC PHP / PERL Python / Ruby NDB API Data Nodes Mix & Match SQL: Complex, relational queries Memcached: Key-Value web services Java: Enterprise Apps NDB API: Real-time services Copyright 2012 Oracle Corporation 29
20 Memcached API Most Widely Adopted Key-Value, NoSQL API New NoSQL Access Extends Memcached with a persistent, scalable database Simple migration from MySQL + Memcached Learn More, March 29 th Consolidate Caching & Database Tiers Schema & Schemaless data Copyright 2012 Oracle Corporation 24
21 Cluster & Memcached Schema-Free Application view SQL view key value <town:maidenhead,sl6> key value <town:maidenhead,sl6> Key town:maidenhead Value SL6 generic table Copyright 2012 Oracle Corporation 27
22 Cluster & Memcached Defined Schema Application view SQL view key value <town:maidenhead,sl6> prefix key value <town:maidenhead,sl6> ead,s Prefix Table Key-col Val-col policy town: map.zip town code cluster Config tables town... code... maidenhead... SL6... map.zip Copyright 2012 Oracle Corporation 28
23 Performance MySQL 5.6: NoSQL Benchmarking TPS Memcached API SQL Client Connections Up to 9x Higher SET / INSERT Throughput Copyright 2013, Oracle and/or its affiliates. All rights reserved.
24 Millions of UPDATEs per Second Billion UPDATEs per Minute MySQL Cluster Data Nodes NoSQL C++ API, flexasynch benchmark 30 x Intel E Intel Servers, 2 socket, 64GB ACID Transactions, with Synchronous Replication 19
25 When to Consider MySQL Cluster What are the consequences of downtime or failing to meet performance requirements? How much effort and $ is spent in developing and managing HA in your applications? Are you considering sharding your database to scale write performance? How does that impact your application and developers? Do your services need to be real-time? Will your services have unpredictable scalability demands, especially for writes? Do you want the flexibility to manage your data with more than just SQL? Copyright 2012 Oracle Corporation 55
26 Where would I not Use MySQL Cluster? Hot data sets >3TB Replicate cold data to InnoDB Long running transactions Large rows, without using BLOBs Foreign Keys Can use triggers to emulate: Full table scans Savepoints Geo-Spatial indexes InnoDB storage engine would be the right choice MySQL Cluster Evaluation Guide Copyright 2012 Oracle Corporation 56
27 MySQL Cluster Users & Applications Extreme Scalability, Availability and Affordability Web High volume OLTP ecommerce User Profile Management Session Management & Caching Content Management On-Line Gaming Telecoms Subscriber Databases (HLR / HSS) Service Delivery Platforms VAS: VoIP, IPTV & VoD Mobile Content Delivery Mobile Payments LTE Access Copyright 2012 Oracle Corporation 11
MyISAM Default Storage Engine before MySQL 5.5 Table level locking Small footprint on disk Read Only during backups GIS and FTS indexing Copyright 2014, Oracle and/or its affiliates. All rights reserved.
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