An Insider s Guide to Oracle Autonomous Transaction Processing

Transcription

1 An Insider s Guide to Oracle Autonomous Transaction Processing Maria Colgan Master Product Manager Troy Anthony Senior Director, Product Management #thinkautonomous

2 Autonomous Database Traditionally each database deployment was unique You are the DB builder, securer, repairer, tuner, and driver Complex, labor intensive, poor economies-of-scale Autonomous Database revolutionizes data management The full database management lifecycle is completely automated Even for ultra-mission critical databases with sensitive data Enables you to innovate more, pay less, and ensure data safety 2

3 Autonomous Completes the Journey Brings Full Automation to Entire Database Lifecycle ORACLE AUTONOMOUS DATABASE Oracle Cloud Complete Infrastructure Automation Complete Database Automation Automated Data Center Operations and Machine Learning World s First Autonomous Database 3

4 ORACLE AUTONOMOUS DATABASE How It Works 4

5 Autonomous Database Addresses the Complete Lifecycle Provisioning Rapidly creates scalable mission critical databases Creates Exadata + Cloud Infrastructure, RAC + scale-out database, Active Data Guard + standby Security Protects from external and internal threats Monitors threats, applies security updates online +, stops admin snooping with DB Vault +, encrypts all data Management Automates all infrastructure and database management Performs all OS and SYSDBA operations, tunes settings, patches all software online +, diagnoses errors + + Unique to Oracle 5

6 Autonomous Database Addresses the Complete Lifecycle Protection Recovers from any failure without downtime Automates backup, restore, application transparent + failover in scale-out cluster + or to active remote standby + Scaling Scales online for highest performance and lowest cost Instant online elasticity + of serverless compute and storage enables true pay-per-use + Optimization Machine Learning optimizes database for each workload Continuously optimizes memory, data formats, indexes +, parallelism +, and plans + for each workload + Unique to Oracle 6

7 Autonomous Database Optimized by Workload ORACLE AUTONOMOUS DATABASE Autonomous Data Warehouse Autonomous Transaction Processing Available Since March 2018 Available Since August

8 Autonomous Optimizations Specialized by Workload Optimizes Complex SQL Optimizes Response Time Columnar Format Autonomous Data Creates Warehouse Data Summaries Row Format Autonomous Transaction Creates Indexes Processing Plan Stability and Run Away Query Prevention 8

9 Continuous Optimization Enabled by Machine Learning SQL Plans are like driving directions Should adapt as data volume (traffic) changes Indexes are like roads and bridges Should adapt if nature of the workload evolves Changes in data volume and SQL workload are continuously captured Machine Learning algorithm processes changes to find new optimal plans and indexes * Improved driving directions, roads, bridges 9 * Coming soon

10 Machine Learning Meets Mission Critical New approach avoids performance regressions Even for difficult cases where new plan or index helps 99 SQL statements and hurts 1 Changes are first tested in background Then the benefit is validated on first execute of every changed SQL If performance regresses, then old SQL plan is used More Details Today at 4:45pm Test Drive Automatic Index Creation in Oracle Autonomous Database Cloud 10 * Coming soon

11 ORACLE AUTONOMOUS DATABASE Deployment Options 11

12 One Autonomous Database Two Deployment Options ORACLE AUTONOMOUS DATABASE Currently in Beta Serverless Exadata Cloud Infrastructure Dedicated Exadata Cloud Infrastructure 12

13 Serverless Exadata Cloud Infrastructure An ATP-S Database is placed on Exadata Cloud Infrastructure based on Region Oracle completely manages and controls all placement, patching, software versions, and isolation RAC cluster enables rolling upgrades and fast failover Low minimum size/cost - 1 OCPU and 1 TB of storage Low minimum time commitment 1 hour DB1 13

14 Dedicated Exadata Cloud Infrastructure Customer is assigned dedicated Quarter/Half/Full Rack within a customer chosen region and customer VCN Dedicated provides complete isolation from other tenants Designed for mission critical workloads Dedicated requires larger commitment Minimum allocation is Exadata Base System for 1 Month CPUs (software) billed per hour based on provisioned databases 14

15 ORACLE AUTONOMOUS DATABASE Provisioning 15

16 Provisioning ATP Provisioning requires only 6 simple questions: Compartment? Display Name? Database name? How many CPU s? How many TB s? Admin password? New service created in couple minutes (regardless of size) Ready to connect via SQL*Net

17 Demo 1 Provisioning 17

18 REST APIs available for all ATP Operations 18

19 ORACLE AUTONOMOUS DATABASE Connecting 19

20 Pre-defined Services for Autonomous Transaction Processing Four pre-defined database services controlling priority and parallelism Different services defined for Transactions and Reporting/Batch SERVICES NAME RESOURCE MANAGEMENT PLAN SHARES PARALELLISM HIGH 8 MANUAL MEDIUM 4 MANUAL LOW 1 MANUAL PARALLEL 1 CPU_COUNT For Transaction Processing For Reporting or batch processing 20

21 Demo 2 Download Security Wallet 21

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23 Demo 3 Connecting to ATP 23

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25 ORACLE AUTONOMOUS DATABASE Loading Data 25

26 Data Loading Options Data loading via SQL*Net Suitable for small volumes of data SQL*Loader from local filesystem on client ETL scripts that use DML to insert/update data Data loading from Oracle Object Storage Preferred technique for large volumes of data Additionally enables data-sharing with other cloud services Stage data in Oracle Object Storage, then load into the database using new PL/SQL API or Data Pump Import

27 Loading Data from Object Stores Data can be loaded direct from any object store Oracle Object Store, AWS S3 or Azure Any supported ORACLE_LOADER file format Short term Roadmap: any Hadoop file format Any Object Storage

28 Loading Data from the Oracle Object Store Define your credentials for the object store Oracle Cloud Infrastructure Object Store username and Swift password required Credential stored in the database schema once and used for accessing the object store for all loads BEGIN dbms_cloud.create_credential( credential_name => 'OBJ_STORE_CRED', username => 'tenant1', password => 'password' ); END; /

29 Loading Data from the Oracle Object Store Load data directly into the target table without any intermediate steps Data format in the source file easily specified as JSON BEGIN dbms_cloud.copy_data( table_name =>'CHANNELS', credential_name =>'OBJ_STORE_CRED', file_uri_list =>' /dwcsdemo/demo_data/chan_v3.dat', format => json_object('ignoremissingcolumns' value 'true', 'removequotes' value 'true') ); END; /

30 Loading data via SQLDev 30

31 ORACLE AUTONOMOUS DATABASE How It Scales 31

32 Demo 4 Scaling ATP 32

33 ORACLE AUTONOMOUS DATA WAREHOUSE How Do I Get Started? 33

34 Try It Now 2 TB Autonomous Database FREE for 3,300 Hours #thinkautonomous 34

35 Conclusion Spend Less Eliminate tedious, expensive, and unsafe manual database management Cut runtime costs up to 90% with ultra-efficiency and pay-per-use Innovate more Develop new applications faster with instant database provisioning and self-tuning Refocus talent on business value Ensure data safety Continuous online updates protect against cyber-attacks Fault-tolerant solution including maintenance ORACLE AUTONOMOUS DATABASE 35