Pivotal HD Platform Overview
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Pivotal HD Platform Overview
- 1. 1© Copyright 2013 Pivotal. All rights reserved. 1© Copyright 2013 Pivotal. All rights reserved. A NEW PLATFORM FOR A NEW ERA
- 2. 2Pivotal Confidential–Internal Use Only 2© Copyright 2013 Pivotal. All rights reserved. Pivotal HD
- 3. 3Pivotal Confidential–Internal Use Only HDFS HBase Pig, Hive, Mahout Map Reduce Sqoop Flume Resource Management & Workflow Yarn Zookeeper Apache Pivotal HD Added Value Configure, Deploy, Monitor, Manage Command Center Hadoop Virtualization (HVE) Data Loader Pivotal HD Enterprise Xtension Framework Catalog Services Query Optimizer Dynamic Pipelining ANSI SQL + Analytics HAWQ– Advanced Database Services Pivotal HD Architecture
- 4. 4Pivotal Confidential–Internal Use Only • HDFS – The Hadoop Distributed File System acts as the storage layer for Hadoop • MapReduce – Parallel processing framework used for data computation in Hadoop • Hive – Structured, data warehouse implementation for data in HDFS that provides a SQL-like interface to Hadoop • Pig – High-level procedural language for data pipeline/data flow processing in Hadoop • HBase – NoSQL, key-value data store on top of HDFS • Mahout – Library of scalable machine- learning Algorithms • Spring Hadoop – Integrates the Spring framework into Hadoop Pivotal HD Components
- 5. 5Pivotal Confidential–Internal Use Only • Installation and Configuration Manager (ICM) – cluster installation, upgrade, and expansion tools. • GP Command Center – visual interface for cluster health, system metrics, and job monitoring. • Hadoop Virtualization Extension (HVE) – enhances Hadoop to support virtual node awareness and enables greater cluster elasticity. • GP Data Loader – parallel loading infrastructure that supports “line speed” data loading into HDFS. • Isilon Integration – extensively tested at scale with guidelines for compute-heavy, storage-heavy, and balanced configurations. • Advanced Database Services (HAWQ)– high-performance, “True SQL” query interface running within the Hadoop cluster. • Extensions Framework (GPXF) – support for HAWQ interfaces on external data providers (HBase, Avro, etc.). • Advanced Analytics Functions (MADLib) – ability to access parallelized machine-learning and data-mining functions at scale. GPHD Includes… Pivotal HD Adds the Following to GPHD… Pivotal HD Value-Added Components
- 6. 6Pivotal Confidential–Internal Use Only Component Version Hadoop 1.0.3 HBase 0.92.1 Hive 0.8.1 Mahout 0.6 Pig 0.9.2 Zookeeper 3.3.5 Flume 1.2.0 Sqoop 1.4.1 Spring Hadoop GPHD 1.2 Core Distribution Pivotal HD Enterprise Pivotal Core Components & Versions Component Version Hadoop 2.0.2 HBase 0.94.2 Hive 0.9.1 Mahout 0.8.0 Pig 0.10.0 Zookeeper 3.4.5 Flume 1.3.1 Sqoop 1.4.2 Spring Hadoop 1.0.0
- 7. 7Pivotal Confidential–Internal Use Only DataLoader . . Streams Push Pull Connectors Flume HDFS DataLoader Data Source Registration Copy Strategy Optimization Web GUI and CLI Data Destination Registration Data Copy Job Management Data Processing REST APIs Files HDFS NFS HTTP FTP Local
- 8. 8Pivotal Confidential–Internal Use Only Command Center Simple and complete cluster management Install and configure Hadoop components and services Centralized interface for Pivotal HD cluster monitoring, diagnostics, and management Live and historical Hadoop system metrics analysis Configure Monitor Manage Analyze Deploy
- 9. 9Pivotal Confidential–Internal Use Only Command Center – Monitor, Manage, and Analyze Host, application, and job level monitoring across the entire Pivotal HD cluster performance Visualize and analyze live and historical Hadoop cluster information through Command Center Dashboard Quick diagnostics of functional or performance issue
- 10. 10Pivotal Confidential–Internal Use Only Hadoop Virtualization Extensions (HVE) • HVE enables Hadoop to support more effective virtual deployments • This creates the opportunity to provision and scale the compute and storage processes independently resulting in: • Much better resource utilization • Improved resource allocation and consumption • Support Multi-Tenancy
- 11. 11Pivotal Confidential–Internal Use Only HAWQ Delivers SQL compliant World-class query optimizer Interactive query Horizontal scalability Robust data management Common Hadoop formats Deep analytics
- 12. 12Pivotal Confidential–Internal Use Only Xtension Framework An advanced version of GPDB external tables Enables combining HAWQ data and Hadoop data in single query Supports connectors for HDFS, Hbase and Hive Provides extensible framework API to enable custom connector development for other data sources HDFS HBase Hive Xtension Framework
Notes de l'éditeur
- Start with basic HD and then comment about the addition of a true SQL interface
- Uniform – Uniformly distribute copy tasks between workers for to maximize throughput Data Locality Driven – For HDFS/Local Disk sources. Job planner assigns Copy Tasks to Local / closest Worker Node. When deployed on source, assigns reads to local worker, when deployed to destination HDFS, assigns writes to local nodes. Job Planner gets locality information from NameNode. Patches to HDFS schedulers: HDFS rack awareness to reduce inter-rack traffic Local disk awareness to assign read/write MapReduce tasks to workers local to the data Dynamic – Used for loading large number of small files. Assigns small tasks to workers, re-assigns in runtime Connection Limited – Limit # read connections to source FTP/HTTP server Intelligent – Choose correct copy strategy based on source type and data
- ICM What is it – GPHD Manager for Greenplum HD GPHD Manager is a part of Command center package. GPHD Manager supports installation and default configuration of Hadoop, MapReduce, Hive, HBase, Zookeeper, Pig and Mahout GPHD Manager supports a Command Line Interface built using a RESTful web services API to install, configure and start/stop various Hadoop services It stores all metadata from the Hadoop cluster nodes and services into a postgresql db to keep track of cluster config and runtime stats How it works GPHD manager is installed on an Admin node that is typically separated from Hadoop cluster nodes Functionality of GPHD manager Admin node exposed as web service REST based APIs Leverages Puppet to manage the installation of Hadoop services (Master/Slave mode) Benefits Provides a centralized role-based configuration and deployment tool Includes validation – machine validation, reachability validation, dependency validation Single GPHD manager Admin node can manage multiple Hadoop clusters (integrated into GP Command Center in next release) Command Center What is it – Application for monitoring & management of GPHD environment Web-based interface that provides standard infrastructure system metrics and Hadoop-specific metrics Designed to make a Hadoop Administrator’s job easier Command Center How it works Visualizes live and historical data in GPCC Dashboard to display state of Hadoop cluster (stored in backend GPDB) GPCC Provides: Host level monitoring (all information specific to a particular host) Application level monitoring (HDFS information across the whole cluster) Job-level monitoring and analysis (information on particular MapReduce jobs) Benefits Monitor that the GPHD cluster is running efficiently and without any problems Quickly diagnose functional or performance issues with the Hadoop cluster GPSM What is it – GPHD System Management & Monitoring Web-services component of GPHD 1.2 that allows for applications to easily monitor and manage one or more Hadoop clusters GP-SM is designed to work with Greenplum Command Center as the UI Leverages GPDB to store/analyze both GPHD application and system metrics How it works GP-SM provides a Thrift Plugin to retrieve data from GPHD Live and historical data stored in GPDB instance with pre-defined schema (gpperfmon) Thrift Plugin exposes its APIs via Web Services GPCC uses this Web Service to visualize live and historical data of GPHD environment Benefits Serves as the backend system for Greenplum Command Center Enables users to analyze both live and historical Hadoop system information
- Command Center What is it – Application for monitoring & management of GPHD environment Web-based interface that provides standard infrastructure system metrics and Hadoop-specific metrics Designed to make a Hadoop Administrator’s job easier Command Center How it works Visualizes live and historical data in GPCC Dashboard to display state of Hadoop cluster (stored in backend GPDB) GPCC Provides: Host level monitoring (all information specific to a particular host) Application level monitoring (HDFS information across the whole cluster) Job-level monitoring and analysis (information on particular MapReduce jobs) Benefits Monitor that the GPHD cluster is running efficiently and without any problems Quickly diagnose functional or performance issues with the Hadoop cluster GPSM What is it – GPHD System Management & Monitoring Web-services component of GPHD 1.2 that allows for applications to easily monitor and manage one or more Hadoop clusters GP-SM is designed to work with Greenplum Command Center as the UI Leverages GPDB to store/analyze both GPHD application and system metrics How it works GP-SM provides a Thrift Plugin to retrieve data from GPHD Live and historical data stored in GPDB instance with pre-defined schema (gpperfmon) Thrift Plugin exposes its APIs via Web Services GPCC uses this Web Service to visualize live and historical data of GPHD environment Benefits Serves as the backend system for Greenplum Command Center Enables users to analyze both live and historical Hadoop system information
- Topology Extensions: Enable Hadoop to recognize additional virtualization layer for read/write/balancing Enable compute/data node separation without losing locality Elasticity Extensions: Ability to adjust resource allocation (CPU, memory, map/reduce slots) to compute nodes Enables multiple compute VMs sharing common HDFS Data VMs HVE – Allow the HDFS to be virtualization aware Serengeti – Deployment tool for virtualized hadoop
- This is the first true SQL engine for hadoop
- HDFS Delimited Text Sequence File GPDB Writable Format Protocol Buffer Avro Hbase Predicate Pushdown Hive RCFile Text File Sequence File