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Category Archives: Oracle Database 12c New Features
Prior to Oracle Database 12c Release 2, all object names had been limited to just 30 bytes. This limitation lead to some interesting problems, especially if you wanted to use descriptive names for the database objects you were creating.
Take for example the dictionary tables we wanted to create in 12.1 to help manage SQL Plan Directives. The first table was DBA_SQL_PLAN_DIRECTIVES, with 23 characters, which wasn’t problem. However, the second table we wanted was DBA_SQL_PLAN_DIRECTIVES_OBJECTS. Continue reading
Yesterday saw Oracle complete the release of Oracle database 12c Release 2 when the software became available for download on Oracle.com for both Linux & SPARC. Earlier this year I was lucky enough to have an opportunity to grab a … Continue reading
Today Oracle Database 12c Release 2 became available for download on Oracle.com for both Linux & SPARC. So anyone who wasn’t ready to try 12.2 in the Cloud can now play around with it, in the comfort of their own environment.
With each new release of the Oracle Database come fundamental architectural changes, driven by new technologies and user requirements. This has never been more evident than with Oracle Database 12c, which has 3 marquee features: Continue reading
If you are on Exadata or taking advantage of Database In-Memory it’s possible your queries will benefit for the automatically created and maintained Storage Indexes.
But what exactly are Storage Indexes and why don’t I always see a benefit from them?
Let me start by describing what Storage Indexes are in relation to Database In-Memory but remember they behavior in exactly the same way on the Exadata storage cell.
A Storage Index keeps track of minimum and maximum values for each column in an In-Memory Compression Unit (IMCU) or 1MB chunk on the Exadata storage cells. When a query specifies a WHERE clause predicate, the In-Memory Storage Index on the referenced column(s) is examined to determine if any entries with the specified value exist. Continue reading
I got a great follow up question to my earlier blog on Online Statistics Gathering; that I thought might be of interest to other and worthy of a short post of its own.
The question related to sample size used to gather histograms on a table that originally had its statistics gathered via a direct path load operation.
Let’s look at any example: Continue reading
Anyone who knows me will tell you, my expertise is the Oracle Database and not web applications or JSON. But my new role is all about pushing myself out of my comfort zone, so I wanted to get some hands on experience with both application development and JSON in the Oracle Database.
My colleague, Mark Drake, the PM for JSON in the Oracle Database, suggested I get my feet wet by trying the new Movie Ticketing Application tutorial available on the JSON page on Oracle.com.
The Movie Ticketing Application is written in Node.js and connects to the Oracle Database via a REST Data Service. Since I recently signed up for the Oracle Database Exadata Express cloud service, I had the perfect Database setup for a web application. Continue reading
Although there have been a number of significant changes to the Oracle Database in 12c, some of my favorite new features are actually the small enhancements, designed to make your life a little easier. So, I decided to spend some time this year sharing the details on these small but extremely useful features.
One such enhancement is Online Statistics Gathering.
Whenever an index is created, Oracle automatically gathers optimizer statistics for that index. The database piggybacks the statistics gather on the full data scan and sort operation necessary for the index creation. This approach has worked so well since it was introduced in 9i, few people even realize it’s happening. Continue reading