Oracle Database 21c now supports Enhanced In-Memory External Tables

Oracle Database 21c now supports Enhanced In-Memory External Tables.

This blog post by Andy Rivenes Product Manager at Oracle highlights this exciting new feature in 21c to the already expansive array of features boasted by Oracle Database In-Memory.

Here is a brief summary.

• With In-Memory 21c, external tables allow an application to populate data in the IM column store that exists outside Oracle Database without the need to to first having to materialize the data within the database.
• In-Memory 21c allows an application to take advantage of Oracle Database's rich feature set to query and analyze that data and perhaps combine it with other application data that resides within Oracle Database. 
• With Oracle Database 21c, Database In-Memory provides partition support for that external data to allow even more flexibility in managing fast analytics on many different types of data.

Enjoy this blog post announcing this exciting new capability now available for Oracle Database In-Memory.

Cheers.

Oracle Database 21c New Feature: Full Text Columns with In-Memory

 Oracle Database 21c New Feature: Full Text Columns with In-Memory.

This blog post by Andy Rivenes Product Manager at Oracle highlights this exciting new feature in 21c to the already expansive array of features boasted by Oracle Database In-Memory.

Here is a brief summary.

• In the previoius versions, Oracle Database In-Memory did not support predicates for non-scalar documents e.g. if you were using domain indexes for Oracle full text index, XML Search Index, or JSON Search Index then these were not populated in the IM column store. This resulted in degradataion of performance for searching non-scalar types of data. 
• Now in Oracle Database 21c In-Memory, there is new support  to store, or populate, these types of domain-specific indexes.
• The new 21c In-Memory Full Text Columns feature provides a faster way to perform searches on text type data.
• Full Text Columns do not require maintaining a separate Oracle Text index.
• Full Text Columns now support various types of application workloads within the Oracle converged database.

Enjoy this blog post announcing this exciting new capability now available for Oracle Database In-Memory.

Cheers.

Oracle Analytics Cloud uses Oracle Database In-Memory for faster results

Oracle Analytics Cloud uses Oracle Database In-Memory for faster results.

This blog post by Bret Grinslade Senior Product Director at Oracle highlights this exciting new announcement by Oracle Analytics Cloud.

Here is a brief summary.

• In Oracle Analytics Cloud, the new in-memory engine provides Automatic Caching, which is in-turn built on Oracle Database In-Memory.
• Built on Exadata and the advanced Oracle Database query engine, Automatic Caching for datasets offers query performance improvements without any changes to existing customer datasets.
• In-Memory is very helpful for larger datasets or datasets with complex calculations.
• The new caching engine is available in Oracle Analytics Cloud in Oracle Cloud Infrastructure (OCI).
• Some of the best performance improvements are for more complex scenarios e.g. Datasets with multiple users using shared workbooks see query performance improving as more queries are run.
• Users can noticeably observe the most performance benefits when employing complex filters and calculations. 
• These performance benefits now come with the same security and ease-of-use that, you get with an Oracle Analytics Cloud dataset.
• The best part of this new combination is that customers already have it.
• Starting with Release 6.1, all customers using Oracle Analytics Cloud on OCI Gen2 have been automatically upgraded: You can continue to use datasets with Automatic Caching, and when the data is reloaded, it will use in-memory technology.

Enjoy this blog post announcing this exciting new combination now available for Oracle Analytics Cloud.

Cheers.

Oracle Database In-Memory Important Documentation & Resources

Oracle Database In-Memory Important Documentation & Resources.

This excellent blog post by Andy Rivenes Product Manager at Oracle summarizes useful resources for Oracle Database In-Memory.

Technical Information

• Oracle Database In-Memory Data Sheet
• Oracle Database In-Memory Technical Brief
• Oracle Database In-Memory Quick Start (one page brief)
• Oracle Database In-Memory Quick Start Guide
• Oracle Database In-Memory Implementation Guidelines Technical Brief
• Oracle Database In-Memory: In-Memory Aggregation
• When to Use Oracle Database In-Memory
• Why Exadata Is The Best Platform For Database In-Memory
• Oracle Database In-Memory Advisor
• Benchmark Results Reveal the Benefits of Oracle Database In-Memory for SAP Applications
• Enterprise Data Architecture
• Database In-Memory Guide
• Exadata System Software User's Guide

Application Information

• Oracle Database In-Memory with Oracle's JD Edwards EnterpriseOne
• Performance Characterization of Oracle JD Edwards EnterpriseOne with Oracle Database In-Memory
• Using Oracle Database In-Memory with Oracle E-Business Suite
• Oracle Database, Cloud and IT Infrastructure for SAP

Videos

• OOW 2018 New York City cab demo
• Tirthankar Lahiri presents In-Memory Database Architectures at the IMC Summit
• Database In-Memory Real-Time Analytics Demo
• OOW 2017 DBIM Temperature Demo
• Oracle Database In-Memory: What's new in 12.2
• Customers discuss the benefits of Oracle Database In-Memory
• Database In-Memory Introduction
• Juan Loaiza explains everything you need to know about Oracle Database In-Memory using the Wikipedia demo
• Juan Loaiza explains how Software-in-Silicon will optimize Oracle Database In-Memory at Oracle Openworld 2014
• Larry Ellison Launches Database In-Memory
• Oracle ACE Directors Talk about Oracle Database In-Memory
• Oracle Application teams explain how Database In-Memory will improve their performance
• Panel discussion on Oracle Database In-Memory hosted by Juan Loaiza
• Tirthankar Lahiri explains how Database In-Memory has been optimized for Intel processors

Other Database In-Memory Information

• Ask TOM Office Hours
• Database In-Memory YouTube Channel

Technical Briefs/Other Links

• How to generate a SQL Monitor Report - Updated for 19c!
• SQLMaria - Getting the most out of Oracle SQL Monitor
• SQL Monitor Technical Brief
• How to generate an Optimizer Trace

Presentations/Hands On Labs

• LiveLabs - Boost Analytics Performance with Oracle Database In-Memory Workshop
• OOW Hands On Lab Guide
• OOW Hands On Lab Scripts
• SSB Schema Export Files - GitHub
• Conference Hands On Lab Guide
• OOW 2019 Tips and Tricks Presentation
• ilOUG DBIM By Example Presentation (output)
• AskTOM Office Hours Scripts - GitHub
• AskTOM Office Hours Base Level Feature 19c presentation (pdf)

MOS Notes

• Release Schedule of Current Database Releases (Doc ID 742060.1)

• Oracle Database In-Memory Option (DBIM) Basics and Interaction with Data Warehousing Features (Doc ID 1903683.1)

Database Patches

My Oracle Support Notes:

• Master Note for Database Proactive Patch Program (Doc ID 888.1)
• Overview of Database Patch Delivery Methods for 12.1.0.2 and older (MOS Note: 1962125.1)
• Overview of Database Patch Delivery Methods for 12.2.0.1 and greater (MOS Note: 2337415.1)

    Proactive Patch Information notes available based on release:

• Oracle Database 21c Proactive Patch Information (MOS Note: 2796590.1)
• Oracle Database 19c Proactive Patch Information (MOS Note: 2521164.1)
• Database 18 Proactive Patch Information (MOS Note: 2369376.1)
• Database 12.2.0.1 Proactive Patch Information (MOS Note: 2285557.1)
• Database 12.1.0.2 Proactive Patch Information (MOS Note: 2285558.1)

License Info

• Licensing Information User Manual
• Authorized Cloud Environments
• Licensing Oracle Software in the Cloud Computing Environment

Other Related Blogs

• Optimizer Blog
• Data Warehouse Blog
• SmartScan Deep Dive Blog (currently unavailable - some posts on DBIM blog)
• SQLMaria
• Mike Dietrich's Upgrade Blog

Enjoy this blog post summarizing useful resources for Oracle Database In-Memory.

Cheers.

Utilizing Memoptimized Rowstore in non-Exadata Database Environments

Utilizing Memoptimized Rowstore in non-Exadata Database Environments.

This blog post by Andy Rivenes Product Manager highlights the fact that Memoptimized Rowstore is Available in non-Exadata Database Environments.

Here is a brief summary.

• Memoptimized Rowstore was first introduced in Oracle Database 18c.
• Memoptimized Rowstore is made up of two components: Fast Lookup and Fast Ingest. 
• These new features at the time were for Exadata On-Prem and Cloud environments only; However, they are now available in non-Exadata environments in 21c and in 19c starting with the 19.12 RU.
• The Memoptimized Rowstore Fast Ingest feature enables fast data inserts into Oracle Database: This enables support for applications that generate lots of informational data that has important value in the aggregate but that don't require full ACID requirements e.g. Internet of Things (IoT) Apps with rapid "fire and forget" type workloads.
• Memoptimized Rowstore Fast Lookup feature supports SELECT queries on primary key values: This Very Fast Lookup feature can be helpful for applications that require very high-frequency reads.

Enjoy this blog post highlighting this very useful capability.

Cheers.

Quick Intro: How to use Database Links with Oracle Autonomous Dedicated?

 Quick Into: How to use Database Links with Oracle Autonomous Dedicated.

There is a very good blog post by Jeffrey Cowen Senior Principal Product Manager at Oracle on How to use Database Links with Oracle Autonomous Dedicated.

Here is a quick recap.

• Only TCP connections are currently supported.
• Easy Connect syntax or the complete descriptor must be used.
• There is no access to the local tnsnames.ora file for editing.
• Create the DB Link and test it.
• OCI Egress Rules on the Autonomous Dedicated Infrastructure subnet must be open on port 1521 using Network Security Group (NSG) or a security list.
• If connecting your On-Prem to Autonomous you will need to make sure the scan or hostname used is resolvable by your source server through DNS lookup or a host file. 
• If connecting over VPN or FastConnect you must ensure that the On-Prem firewall is not blocking or timing out 1521 traffic for long queries.
• GLOBAL_NAMES is set to TRUE in OCI database services which requires the database link and the database to have the same name. This parameter is modifiable if needed. 
• If connecting to a public IP Address, the Autonomous Dedicated Infrastructure subnet will need proper route rules and network features enabled in the VCN such as a NAT Gateway if using a private subnet (recommended).

Enjoy this blog post on How to use Database Links with Oracle Autonomous Dedicated.

Cheers.

Oracle Database World 2021 In-Memory Sessions

 Oracle Database World 2021 In-Memory Sessions.

Oracle is hosting a new event called Oracle Database World 2021. Here is a summary of these very useful Oracle Database In-Memory sessions for Oracle Database World 2021:

•     Database In-Memory: Real Time Analytics, Supercharged, Andy Rivenes and Shasank Chavan
•     Superfast Event Stream Processing with a Converged Database, Tirthankar Lahiri and Shasank Chavan
•     Hands On Lab: Boost Analytics Performance with Oracle Database In-Memory, Andy Rivenes and Markus Kissling

Enjoy this blog post summarizing these very useful In-Memory Sessions at Oracle Database World 2021.

Cheers.

Oracle Database 21c New Features: In-Memory Vector Joins

 In-Memory Expressions in Oracle Database 21c: A Quick Primer.

This blog post by Andy Rivenes Product Manager at Oracle highlights this exciting new feature with Oracle Database In-Memory 21c.

Here is a quick summary:

• In-Memory Deep Vectorization is a new framework that has been added to Database In-Memory. 
• In-Memory Deep Vectorization is a SIMD-based (single instruction, multiple data) framework that supports vectorization for higher-level query operators in the query plan.
• In-Memory vectorized joins is the first feature that takes advantage of this new In-Memory deep vectorization framework. 
• This new feature speeds up in-memory joins and is transparent to the user.

Enjoy this blog post  highlighting this exciting new feature with Oracle Database In-Memory 21c.

Cheers.

You can now upgrade Grid Infrastructure to 19c on Gen2 Exadata Cloud@Customer

 You can now upgrade Grid Infrastructure to 19c on Gen2 Exadata Cloud@Customer.

This blog post by Prince Mathew Principal Product Manager at Oracle highlights this new announcement for Gen2 Exadata Cloud@Customer.

Here is a brief summary of this new upgrade to 19c capability on Gen2 Exadata Cloud@Customer.

• Run a precheck before upgrade to the 19c Grid Infrastructure version to identify and resolve compatibility issues in advance.
• Even if a precheck is not run, an implicit precheck will always be run as part of the GI upgrade workflow to ensure that the cluster is ready for an upgrade.
• Upgrade existing VM Clusters to 19c Grid Infrastructure version which is now a required step before upgrading databases on the cluster to 19c.
• The GI version upgrade to 19c is applied in a rolling manner across the cluster and does result in downtime for running database workloads. 

GI upgrade is a planned activity.

Enjoy this blog post announcing this much needed new upgrade capability for Gen2 Exadata Cloud@Customer.

Cheers.

Oracle Database In-Memory Youtube Channel and Summit Videos

Oracle Database In-Memory Youtube Channel and Summit Videos.

Session 1 & Session 2 Agenda:

• Oracle Database In-Memory: Warp Speed for the Enterprise!, Tirthankar Lahiri (40 minutes)
• Leverage Technology & Use In-Memory for Acceleration, Rich Niemiec (30 minutes)
• What’s new in Database In-Memory, Shasank Chavan (20 minutes)
• Best Practices for Getting Started, Andy Rivenes (20 minutes)

Session 3 Agenda:

• Utilizing Oracle In-Memory to improve Application Performance, Ahmed Alomari (30 minutes)
• Customer Presentations
  • Lufthansa - Oracle In-Memory Application for reduced latency in maintenance processes, Thorsten Pensky (40 minutes)
  • In-Memory Datawarehousing at STEF, Benoît Colas (40 minutes)

Session 4 Agenda:

• Utilizing Oracle In-Memory to improve Application Performance, Ahmed Alomari presentation (30 minutes)
• Customer Presentation
  • Hisense Database In-Memory case study (40 minutes), Dong Qu, Yu Xiao

Enjoy this blog post summarizing these very useful In-Memory Videos on their official Youtube Channel.

Cheers.

Oracle Database Consolidation with Oracle Autonomous Database by granular (GB) storage allocation and fractional OCPU

Oracle Database Consolidation with Oracle Autonomous Database by granular (GB) storage allocation and fractional OCPU.

  

This blog post by Ranganath Srirangapatna Ramachandra and Simon Law Principal Product Managers at Oracle summarizes the capabilities/features & usefulness of Oracle Database Consolidation with Oracle Autonomous Database by granular (GB) storage allocation and fractional OCPU.

Here is a quick recap.

• ​Oracle Autonomous Database is a self-managing database that gives users the added ability of end-to-end automation of tasks which are usually done by DBAs. 
• This feature applies to Autonomous Database on Autonomous Database on Cloud@Customer and Dedicated Infrastructure.
• You can now provision Autonomous databases using fractional OCPU and storage in GBs with Release Update 19.11 and higher.
• Fractional OCPU means you can create databases < than 1 OCPU using fractional units, from 0.1 to 0.9 OCPU, with up to 10 databases running on a single OCPU.
• Fractional OCPU and granular (GB) storage facilitates the Autonomous Database users to reduce costs through database consolidation.
• You can now achieve greated denisty utilizing the power of the Exadata Infrastructure without sacrificing the platform's performance, availability, and security. 
• Fractional OCPU databases will get performance-related resources allocated proportionally based on the number of OCPUs chosen with integer OCPU Autonomous databases/
• Enter a decimal OCPU count between 0.1 and 0.9 and specify the storage size in GB on the Create Autonomous Database page To create an Autonomous Transaction Processing database with fractional OCPU and storage allocation in GB. 
• Fractional OCPU is for < 1 OCPU. For OCPU >= 1, the increment must be in integer.

Enjoy this blog post summarizing the capabilities/features & usefulness of Oracle Database Consolidation with Oracle Autonomous Database by granular (GB) storage allocation and fractional OCPU.

Cheers.

First Database In-Memory Summit Announcement by Oracle

First Database In-Memory Summit Announcement by Oracle.

 First Database In-Memory Summit will be on June 8th and 9th: The registration is free at:  http://bit.ly/OracleDatabaseIn-MemorySummit

Keynote speakers:

Richard Niemiec - Chief Innovation Officer, Viscosity North America

Ahmed Alomari - Entrepreneur, author, and Oracle ACE

Other notable  speakers:

• Tirthankar Lahiri, Senior Vice President, Data and In-Memory Technologies
• Shasank Chavan, Vice President, In-Memory Technologies
• Andy Rivenes, Database In-Memory Product Management

Enjoy this blog post annoucing the very first First Database In-Memory Summit Announcement by Oracle.

Cheers.