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GridGain 6.0: Open Source In-Memory Computing Platform - Nikita Ivanov
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GridGain 6.0: Open Source In-Memory Computing Platform - Nikita Ivanov
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Apache Ignite: Real-‐Time
Big Data with In-‐Memory Data Fabric NIKITA IVANOV Founder & CTO @c64hacker © 2014 GridGain Systems, Inc. www.gridgain.com #gridgain
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© 2014 GridGain
Systems, Inc. Agenda • History of GridGain/Apache Ignite • EvoluSon of In-‐Memory CompuSng • In-‐Memory Data Fabric • Distributed Cluster & Compute – Coding Example • Distributed Data Grid – Coding Examples • Distributed Streaming & CEP • Plug-‐n-‐Play Hadoop Accelerator
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© 2014 GridGain
Systems, Inc. What is In-‐Memory CompuAng • High Performance & Low Latencies • Faster than Disk and Flash • Cost EffecSve • Distributed or Not • Caching, Streaming, ComputaSons • Data Querying – SQL or Unstructured • VolaSle and Persistent • OLAP and OLTP Use Cases
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EvoluAon of In-‐Memory
CompuAng Caching Distributed Caching © 2014 GridGain Systems, Inc. Database IM opSons In-‐Memory Data Grids IMDBs Hadoop accelerators Streaming BI accelerators Data Grid Streaming Clustering & Compute Grid Hadoop Acceleration
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© 2014 GridGain
Systems, Inc. ExisAng Market is Fragmented Company Product Proprietary/ Open Source CharacterizaAon Oracle In-Memory Option for Oracle Database Proprietary Cost Option Oracle Times Ten Proprietary Point Solution IMDB Oracle Coherence Proprietary Point Solution IMDG SAP Hana Proprietary Point Solution - IMDB Microsoft SQL Server 2014 Proprietary Feature Upgrade DataBricks Apache Spark Open Source Point Solution - Hadoop VoltDB VoltDB Open Source Point Solution – IMDB Aerospike Aerospike Open Source Point Solution – NoSQL DB IBM DB2 with BLU Acceleration Proprietary Feature Upgrade Software AG Terracotta Open Source Point Solution - IMDG Hazelcast Hazelcast Open Source Point Solution - IMDG
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In-‐Memory Data Fabric:
Strategic Approach to IMC • Supports all Apps • Open Source – Apache 2.0 • Simple Java APIs • 1 JAR Dependency • High Performance & Scale • Automatic Fault Tolerance • Management/Monitoring • Runs on Commodity Hardware • Supports existing & new data sources • No need to rip & replace Data Grid Streaming Clustering & Compute Grid Hadoop Acceleration © 2014 GridGain Systems, Inc.
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© 2014 GridGain
Systems, Inc. Clustering & Compute • Zero Deployment • Pluggable SPI Design • Full Cluster Management • Direct API for MapReduce • Direct API for Fork/Join • Cron-‐like Task Scheduling • State Checkpoints • Early and Late Load Balancing • AutomaSc Failover
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© 2014 GridGain
Systems, Inc. AutomaAc Cluster Discovery
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© 2014 GridGain
Systems, Inc. Closure ExecuAon
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© 2014 GridGain
Systems, Inc. Closure ExecuAon
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In-‐Memory Caching and
Data Grid • Distributed © 2014 GridGain Systems, Inc. In-‐Memory Key-‐Value Store • Replicated and ParSSoned • TBs of data, of any type • On-‐Heap and Off-‐Heap Storage • Backup Replicas / AutomaSc Failover • Distributed ACID TransacSons • SQL queries and JDBC driver • CollocaSon of Compute and Data
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© 2014 GridGain
Systems, Inc. Cache OperaAons Find a Bug?
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© 2014 GridGain
Systems, Inc. Cache TransacAon
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Distributed Java Data
Structures • Distributed © 2014 GridGain Systems, Inc. Map (cache) • Distributed Set • Distributed Queue • CountDownLatch • AtomicLong • AtomicSequence • AtomicReference • Distributed ExecutorService
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Client-‐Server vs. Affinity
ColocaAon Client-‐Server © 2014 GridGain Systems, Inc. Affinity ColocaSon
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© 2014 GridGain
Systems, Inc. In-‐Memory Streaming & CEP • Streaming Data Never Ends • Branching Pipelines • CEP Sliding Windows • Pluggable RouSng • Real Time Analysis • At Least Once Guarantee
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Plug-‐n-‐Play Hadoop Accelerator
• Up to 100x AcceleraSon • In-‐Memory © 2014 GridGain Systems, Inc. NaSve MapReduce – In-‐Process Data ColocaSon – Eager Push Scheduling • GGFS In-‐Memory File System – Pure In-‐Memory – Write-‐Through to HDFS – Read-‐Through from HDFS • Sync and Async Persistence
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© 2014 GridGain
Systems, Inc. In-‐Memory NaAve MapReduce • In-‐Memory NaSve MapReduce – Zero Code Change – Use exisSng MR code – Use exisSng Hive queries • No Name Node • No Network Noise • In-‐Process Data ColocaSon • Eager Push Scheduling
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DevOps Management and
Monitoring © 2014 GridGain Systems, Inc.
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© 2014 GridGain
Systems, Inc. THANK YOU www.gridgain.com #gridgain
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