Constructing a Data Lake: Hadoop and Oracle Database United!

Transcription

1 Constructing a Data Lake: Hadoop and Oracle Database United! Sharon Sophia Stephen Big Data PreSales Consultant February 21, 2015

2 Safe Harbor The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

3 Program Agenda Hadoop Overview Data Lake How the technologies can work together Tools for Integration Q&A Exadata + Oracle Database Oracle Confidential Internal/Restricted/Highly Restricted 3

4 What Is Hadoop? The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

5 What is HDFS? The Hadoop Distributed File System HDFS is the primary storage system underlying Hadoop Fault tolerant, scalable, highly available Designed to be well-suited to distributed processing Splits large files into blocks Multiple copies stored on different disks on separate nodes Is superficially structured like a UNIX file system

6 A MapReduce (True distributed computing) Analogy Going From Estimates To Actuals

7 A MapReduce (True distributed computing) Example Putting The Analogy Into Practice

8 MapReduce Phases Map Each Map task usually works on a single input split Hadoop tries to run map tasks on the slave node that contains the stored HDFS data block (data locality) The input is presented to the Map phase as a key-value pair Shuffle and Sort Groups all the values together for each key (using the intermediate output data from all of the completed mappers) Sorts the keys Reduce The intermediate output of the Shuffle and Sort phase is the input to the Reduce phase The Reduce function (developer) generates the final output

9 What else is Hadoop Apache Hadoop Apache Hive Apache Pig Apache HBase Apache Zookeeper Apache Flume Apache Sqoop Apache Mahout Apache Whirr Apache Oozie Fuse-DFS Hue Plus Additional projects Impala BDR Sentry

10 Two Great Tastes That Go Great Together Things you can do (Big Oval) Hadoop Database Hadoop Database Things you can do cost-effectively (Small Oval) A. Hadoop can do some things a Database reasonably does not. B. Hadoop expands the amount of things you can do cost-effectively.

11 Two Great Tastes That Go Great Together

12 Data lake Oracle Confidential Internal/Restricted/Highly Restricted 12

13 Data Lake A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

14 Focus in this Session Hadoop Relational Data in files Schema on read Simple programming model for large scale data processing Append only Sequential access of blocks Data organized for fast query Structured schema Complex programming models Read, write, delete, update Access specific record 14

15 Oracle Big Data Connectors R Client R Analytics Oracle R Advanced Analytics on Hadoop XQuery XML/XQuery Oracle XQuery on Hadoop Oracle Bigdata SQL (for eng. System) Optimized for Hadoop: Maximize parallelism Fast performance Analyze data on Hadoop using familiar client tools Data Load Oracle Loader for Hadoop Data Access Oracle SQL Connector for HDFS Oracle Data Integrator Knowledge Modules

16 Integrating data Hadoop and Oracle databases Transferring from Hadoop to Oracle RDBMS OSCH For CSV Text OSCH Hive Non Partition OLH For CSV text OLH Hive Non-partition OLH Data pump (offline) OLH Hive partition OLH Hive Partition parquet Sqoop For CSV text Sqoop Hive partition Sqoop Hive partition parquet Sqoop 2 - Hive partition parquet Transferring from Oracle RDBMS to Hadoop CopytoBDA (only on Engineered system platform) Oracle Data Integrator Oracle Golden gate Sqoop

17 Oracle Loader for Hadoop Parallel load, optimized for Hadoop Automatic load balancing Convert to Oracle format on Hadoop Save database CPU Text Avro Parquet Sequence files Load specific Hive partitions Hive Log files JSON Compressed files And more Kerberos authentication Load directly into In-Memory table

18 Oracle Loader for Hadoop Performance Extremely fast performance Sample numbers (on Oracle Engineered Systems) 4.4 TB/hour end-to-end (load + Hadoop process) Much higher than typical customer requirements Optimized for Oracle Big Data Appliance and Oracle Exadata: InfiniBand Connectivity

19 Oracle SQL Connector for HDFS Text Hive Compressed files OSCH OSCH OSCH OSCH External Table create table customer_address ( ca_customer_id number(10,0), ca_street_number char(10), ca_state char(2), ca_zip char(10)) organization external ( TYPE ORACLE_LOADER DEFAULT DIRECTORY DEFAULT_DIR ACCESS PARAMETERS ( ) PREPROCESSOR HDFS_BIN_PATH:hdfs_stream ) LOCATION ( addr1, addr2, addr3 )) Parallel query and load Load into database or query in place Access text or Hive over text Access compressed data Access specific Hive partitions Kerberos authentication

20 Oracle SQL Connector for HDFS Includes tool to generate external table Performance on Engineered Systems 15 TB/hour load time Query and load Oracle Data Pump files Binary file in Oracle format Uses less database CPU cycles during query/load

21 Oracle SQL Connector for Hadoop works with multiple versions Database versions (on any operating system*) and greater and greater 12c *Oracle SQL Connector for HDFS requires Hadoop client to be supported on the operating system Hadoop versions Apache Hadoop 2.x CDH 4.x (Cloudera) CDH 5.x (Cloudera) HDP 1.3 (Hortonworks) HDP 2.1 (Hortonworks) Certified by Oracle Oracle Oracle Hortonworks Hortonworks

22 Test Case Oracle Confidential Internal/Restricted/Highly Restricted 22

23 Data Generation Data was generated using a tool Built by the product development team. Used for benchmarking. Generates data within HDFS. Random data. The data-files were a combination of various data types such as int, float, varchar, date and timestamp. Copyright 2012, Oracle and/or its affiliates. All rights reserved. 23

24 Integrating data Oracle databases to Hadoop Things to consider while moving data from Hadoop to Oracle RDBMS. OSCH has proven consistently to be the best tool if you have to move massive amount of text data. OSCH moved 14 TB in an hour on Engineered systems. OLH is the best tool if you are dealing with large amount of partitioned tables on both Source and Target. Generally aligning # of files at the source to the # of partition at the target and with DOP gives better performance.

25 Oracle Loader for Hadoop Vs Oracle SQL connector for Hadoop Oracle Loader for Hadoop Oracle SQL connector for Hadoop

26 Oracle Data Integration for Big Data and Hadoop Comprehensive data integration platform designed to work with all data Data Replication Continuous data staging into Hadoop Data Transformation Pushdown processing in Hadoop Data Federation Query Hadoop SQL via JDBC Data Quality Fix quality at the source or invoke Machine Learning in Hadoop Metadata Management Lineage and Impact Analysis w/hadoop Oracle GoldenGate (Data Replication) Realtime Staging Oracle Data Integrator (Data Transformation) Pushdown Data Transformations Fast Load Synchronization Enterprise Data Quality (Profile, Cleanse, Match and De-duplicate) Enterprise Metadata Management (Lineage, Impact Analysis and Data Provenance) Data Service Integrator (Data Federation) Oracle Confidential 26

27 Oracle Big Data SQL Query All Data without Application Change or Data Conversion

28 Summary Fast, easy, integration of all data in your Big Data solution Oracle Big Data Connectors Oracle Big Data SQL (on Oracle Engineered Systems) Oracle Data Integrator Oracle Golden Gate Apache Sqoop

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