Monday, September 22, 2014

Enforce backup encryption with encrlib and encropts

What may sound like sore throat, "encrlib/encropts", in reality is a really useful combination of new configuration parameters for DB2 in the Cancun release. They allow the security administrator (SECADM) to enforce encryption of database backups.

The database configuration parameter "encrlib" can be pointed to the encryption library by providing the file path. Only the security administrator is allowed to change the configuration. Once set, the library is automatically used for every database backup. The configuration variable "encropts" can hold additional parameters needed for the encryption (library). Again, only SECADM can change the value.

If you have a database encryption toolkit such as InfoSphere Guardium Data Encryption in use, then the new options provide a simple, auditable way for the security administrator to make sure, database backups are secure, too.

Tuesday, September 2, 2014

New DB2 Cancun Release (Version 10.5 Fixpack 4) offers many enhancements

The fixpack 4 for DB2 10.5 is available since end of last week. Because it has an unusually long list of product enhancements and new features the fixpack even has the codename or nickname "Cancun Release". For those of you not too familiar with Northern American vacation culture, CancĂșn is a favorite vacation/tourist destination in Mexico, located at the Carribean Sea. So "Cancun Release" may suggest relaxation, recreation, and a dream come true because of ease of use, simplification and major performance enhancements for the DB2 in-memory database feature (BLU Acceleration), the broadened pureScale support, and other nice to haves.

A good start for approaching the new DB2 Cancun release is the fixpack summary in the Knowledge Center. It lists new features by category, my personal highlights are:
  • For the in-memory database support (referred to as "column-organized tables" and known as "BLU Acceleration" some bigger items include so-called shadow table to improve analytic queries in an OLTP environment, lifting of several DDL restrictions, and major performance improvement by adding CHAR and VARCHAR columns to the synopsis table. An in-memory database can be made highly available with the HADR feature.
  • DB2 pureScale clusters can be deployed in virtualized environments (VMware ESXi, KVM), on low-cost solutions without the RDMA requirement, and geographically dispersed cluster (2 data centers) can be implemented on AIX, Red Hat, SuSE with just RoCE as requirement.
  • As part of the SQL compatibility DB2 now supports string length definitions by characters, not just by bytes as before.
  • Installation of DB2 in so-called thin server instances.
  • A SECADM can enforce encryption of backups.
  • db2audit can be used to transfer audit records to syslog for simpler analyzation with, e.g., Splunk.
  • db2look has been improved to generate the CREATE DATABASE statement and export the configuration (see my earlier blog article on that db2look improvement in DB2 10.1).
  • Official support for POWER8.
I plan to blog about some of the new functionality over the next weeks. Until then you can take a look at the new items yourself. Fixpacks can be downloaded from this IBM support website. If you have an IBM Bluemix account or plan to create one, you can use the improved DB2 as part of the Bluemix Analytics Warehouse service. Check out my earlier post about how to set it up and connect to it using a local DB2CLP.

Last but not least: What is your favorite vacation destinations? Suggest new codenames as comment and don't forget new DB2 features you want to see...

Monday, September 1, 2014

What a plot: DB2, R, and Bluemix help with vacation weather

Last week I reported on how I set up a in-memory DB2 database on IBM Bluemix and loaded some historic weather data. Over the last couple days I used some spare time to play with the Cloud-based analytic capabilities that are provided as part of the Softlayer/Bluemix/DB2 combination. Most of the time went into learning (some basics of) R, an environment for statistical computing and graphics. As an example I wanted to find out what temperatures to expect for a possible September vacation on the German island of Norderney.

[Update 2014-11-04: The Analytics Warehouse service on Bluemix is now called dashDB]

For my small exercise I used data provided by the German Meteorological Service "Deutscher Wetterdienst". It allows to freely download and use (under some conditions) data from several decades of weather observation. I uploaded the data to DB2/Bluemix as described in my previous post.
Bluemix: Change DB2 column name and type
While playing with the data I noticed that the column names required escaping of quotes and the observation dates were stored as integer values (yyyymmdd). In a second upload I simplified the column names and adapted the column data type using the DB2 load wizard (see picture). Thereafter I was set for my experiments with R.

The DB2 Cloud environment provides several examples for programming in R, a special function library "bluR" to easily connect R with DB2-based data, and it features the RStudio to develop, test, and execute code in R. Within RStudio it is possible to execute several demos to learn more about analytics, graphing, and data processing. For the DB2 in-memory database API for R there is a demo as well. You can invoke it using the "demo(blur)" command:

DB2 API demo for R in RStudio
The demo shows how to connect to DB2, execute a query and use the fetched data for analytic processing in R. Last week I already tweeted about how I tested escaping of quote characters (use C style, not SQL style):



The data set which I uploaded to DB2 has daily minimum and maximum temperatures (and lots of other meteorological) for about 70 years. I used a SQL query and then the ggplot2 library to create a graphic. It shows the band for the minimum temperatures for each September day as well as the band for the maximum daily temperatures.
DB2 with R: Historic September temperatures
The code for this graphic is pretty simple (and I started last week looking at R and DB2) and available from my Github account:
1:  ########### R script to analyze historic weather data for min/max values  
2:  ## Written by Henrik Loeser  
3:  ## Connection handle con to BLU for Cloud data warehouse is provided already  
4:  ## For plotting, we are using ggplot2 package  
5:  ##   
6:  library(ggplot2)  
7:  library(bluR)  
8:    
9:  ## initialize DB2 connection and environment  
10:  con <- bluConnect("BLUDB","","")  
11:  bluAnalyticsInit(con)  
12:    
13:  ## query DB2 weather data and fetch min/max values of min/max values  
14:  ## (lower/upper boundary each)   
15:  query<-paste('select max(lufttemperatur_maximum) as maxmax,min(lufttemperatur_minimum) as minmin,min(lufttemperatur_maximum) as minmax,max(lufttemperatur_minimum) as maxmin,tag from (select lufttemperatur_maximum, lufttemperatur_minimum, day(mdatum) as tag from blu01023.klima where month(mdatum)=9) group by tag order by tag asc')   
16:  df <- bluQuery(query,as.is=F)  
17:    
18:  ## Some plotting needs to be done  
19:  jpeg(type='cairo',"tempe.jpg",width=800,height=600)   
20:  ggplot(df, aes(x = TAG))+ylab("Temperature")+xlab("Day")+          
21:     geom_ribbon(aes(ymin = MINMIN, ymax=MAXMIN), fill='blue')+  
22:     geom_ribbon(aes(ymin = MAXMAX, ymax=MINMAX), fill='red')+  
23:     geom_ribbon(aes(ymin = MAXMIN, ymax=MINMAX), fill='white')+  
24:     geom_line(aes(y = MINMIN), colour = 'black') +  
25:     geom_line(aes(y = MAXMIN), colour = 'black') +  
26:     geom_line(aes(y = MINMAX), colour = 'black') +  
27:     geom_line(aes(y = MAXMAX), colour = 'black')   
28:    
29:  sink('/dev/null')   
30:    
31:  bluClose(con)  
32:  ## connection is closed, we are done  


Pretty cool (my opinion)! I am already turning into a data scientist. And you can test this yourself on IBM Bluemix with the Analytics Warehouse service (DB2 in-memory database feature).



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