OOW content for Pattern Matching....

By -
If you missed my sessions at OpenWorld then don't worry - all the content we used for pattern matching (presentation and hands-on lab) is now available for download.

My presentation "SQL: The Best Development Language for Big Data?" is available for download from the OOW Content Catalog, see here:

https://oracleus.activeevents.com/2013/connect/sessionDetail.ww?SESSION_ID=9101

For the hands-on lab ("Pattern Matching at the Speed of Thought with Oracle Database 12c") we used the Oracle-By-Example content. The OOW hands-on lab uses Oracle Database 12c Release 1 (12.1) and uses the MATCH_RECOGNIZE clause to perform some basic pattern matching examples in SQL.

This lab is broken down into four main steps:
  • Logically partition and order the data that is used in the MATCH_RECOGNIZE clause with its PARTITION BY and ORDER BY clauses.
  • Define patterns of rows to seek using the PATTERN clause of the MATCH_RECOGNIZE clause. These patterns use regular expressions syntax, a powerful and expressive feature, applied to the pattern variables you define.
  • Specify the logical conditions required to map a row to a row pattern variable in the DEFINE clause.
  • Define measures, which are expressions usable in the MEASURES clause of the SQL query.
You can download the setup files to build the ticker schema and the student notes from the Oracle Learning Library. The direct link to the example on using pattern matching is here: http://apex.oracle.com/pls/apex/f?p=44785:24:0::NO:24:P24_CONTENT_ID,P24_PREV_PAGE:6781,2.

Enjoy!


Technorati Tags: , , , , , ,

Comments

Post a Comment

Popular posts from this blog

My query just got faster - brief introduction to 12.2 in-memory cursor duration temp tables

By -
Image
Image courtesy of wikipedia This post covers one of the new SQL performance enhancements that we incorporated into Database 12c Release 2 . All of these enhancements are completely automatic, i.e. transparent to the calling app/developer code/query. These features are enabled by default because who doesn’t want their queries running faster with zero code changes? So in this post I am going to focus on the new In-Memory “cursor duration” temporary table  feature. Let’s start by looking at cursor duration temp tables… Above image courtesy of wikimedia.org What is a cursor duration temp table? This is a feature that has been around for quite a long time. Cursor duration temporary tables (CDTs) are used to materialize intermediate results of a query to improve performance or to support complex multi step query execution. The following types of queries commonly use cursor duration temp tables: WITH Clause and parallel recursive WITH Grouping Sets S...
Keep reading

SQL Pattern Matching Deep Dive - Part 1

By -
Image
There has been quite a lot of interest in the new 12c MATCH_RECOGNIZE feature for SQL pattern matching. Therefore, I thought now would be the perfect time to start a series of quick deep dive posts that explain how SQL pattern matching works. Over the coming weeks I will cover the following topics in a series of posts. This is the start of a series of posts based on a presentation that I put together for the recent annual  BIWA conferenc e at Oracle HQ. The Oracle BI, DW and Analytics user community always puts on a great conference and this year was the best yet. You can download any or all of the presentations from this year’s conference by following this link . My pattern matching deep dive presentation started life about a year ago as a post covering some of the new keywords in the explain plan that are linked to pattern matching, see here . It has now expanded to cover a much wider range of topics. Firstly, a huge vote of thanks to my development team (Lei Sheng and Chun-Chie...
Keep reading

SQL Pattern Matching Deep Dive - Part 6, state machines

By -
Image
The obvious way to start this particular post is to pose a couple of simple questions: what is a state machine and why should you care? In general I would say that you don't need to know about or care about state machines. That's the beauty of using SQL for pattern matching. The MATCH_RECOGNIZE clause encapsulates all the deep technical modelling and processing that has to be performed to run pattern matching on a data set. However, there are times when it is useful, probably vital, that you understand what is going on behind the scenes and one of the most obvious situations is when backtracking happens. Therefore, the content covered in this post is a going to be a gently lead-in into my next post where I am going to discuss the concept of “backtracking”  and the dreaded  ORA-30009 error. Let’s start our voyage of discovery…when you attempt to run a SQL statement containing a MATCH_RECOGNIZE clause during the compilation phase we generate a finite state machine ba...
Keep reading