Satyaki De - SQL Exploration

I'm a software engineer. I love my Oracle more than me. And, i'm senior forum member in OTN from Dec 2006 and completed my OCA. This blog mainly deals with Oracle & it's relevant technologies from useful perspective. Currently, I'm working as Teradata & Informatica ETL Solution designer. And, also take part in Teradata forum discussion.

Regular Expression on Teradata 14.0

Posted by Satyaki De
Sunday, February 23, 2014


I've been working for more than 8 years in Oracle 10g, 11g & worked significant queries on Regular expressions in various scenario using SQL. It is real handy if you know how to use it & can reduce lots of pain with single SQL. And, the performance will be better compared to the total effort to achieve the same functionalists by using multiple SQL queries or PL/SQL Procedures.

 Last couple of years, I'm working on Teradata. And, on some occasion - I was expecting features like these, where I can easily manipulate data with regular expression. I'm pretty excited when I heard that Teradata also introduced Regular Expression from Version 14.0.

As a result, I tried all those features that I think can be handy & useful for various scenarios & followings are the successful queries that I get. There are two occasion, where Teradata partially able to manipulate those strings. I've checked the latest Teradata Manual. However, unable to find those solution. So, I'm expecting other forum members can contribute here in order to make this thread useful for every one of us. And, I'll post here as soon as I get some answers on these partial conversions.

For better understanding, I've provided the actual column value & after transformation value of that column in the output. That will help us to grasp it easily - I guess. :)
Case 1,

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SELECT regexp_replace('SatyakiDe','([[:lower:]]{1,})([[:upper:]]{1,})','\1 \2') AS COL_VAL;
 
COLA             COL_VAL
---------------- ----------------------------------------
SatyakiDe        Satyaki De


Case 2,

 
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select regexp_replace('919047242526','^([[:digit:]]{2})([[:digit:]]{10})','+\1 \2') COL_VAL;
 
COLA         COL_VAL
------------ ---------------
919047255555 +91 9047255555


Case 3,

 
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select regexp_replace('+++C','^([[:punct:]]{2})([[:punct:]]{1})(.*)$','\1\3') COL_VAL;
 
COLA COL_VAL
---- -----
+++C ++C


Case 4,

 
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select initcap(regexp_replace(regexp_substr(' satyaki.de@mail.com','[^@]+'),'(.*)(\.)(.*)','\1 \3')) COL_VAL;
 
COLA                             COL_VAL
-------------------------------- --------------------------------------------------
satyaki.de@mail.com              Satyaki De


Case 5,

 
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select regexp_replace('100011001','([[:digit:]]{3})([[:digit:]]{2})([[:digit:]]{4})','XXX-XX-\3') as COL_VAL;
 
COLA             COL_VAL
---------------- --------------------
100011001        XXX-XX-1001


Case 6,

 
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select regexp_replace('123456789','([[:digit:]]{3})([[:digit:]]{3})([[:digit:]]{3})','\3.\2.\1') as COL_VAL;
 
COLA      COL_VAL
--------- ---------------
123456789 789.456.123


Case 7,

 
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SELECT regexp_replace('satyaki9de0loves3to8work2on2sql0and2bi6tools1','[^0-9]+','',1,0,'i') AS DER_VAL;

COLA                                            DER_VAL
---------------------------------------------   ----------
satyaki1de0loves3to8work2on2sql0and2bi4tools1   1038220241



As you can see, all the characters have filtered out from the string & only numbers are kept here. These sorts of queries are very useful in lots of different business scenarios as well.

 So, any extra space may not produce desired result. And, needs to pay attention into these small details. 

And, I've tested all these queries in the following two versions -


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select * from dbcinfo;
 
    InfoKey  InfoData
    -------- ------------------------
1   VERSION  14.10.00.02
2   RELEASE  14.10.00.02
3   LANGUAGE SUPPORT MODE   Standard
 
 
select * from dbcinfo; 
 
    InfoKey  InfoData
    -------- ------------------------
1   VERSION  14.10.01.05
2   RELEASE  14.10.01.04
3   LANGUAGE SUPPORT MODE   Standard


Hope, this will give you much more clarity. :)

One more thing, I would like to clarify here - my intention is to describe more features about these regexp_(similar/substr/instr/replace) functions.

 I've received one question whether these regexp functions available in TD 13 or not in Teradata forum while posting the same article over there.

 And, here is my answer to that question -  

Regarding version 13,

Let us check whether they have these regexp functions or not -


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select * from dbcinfo;
 
    InfoKey  InfoData
    -------- ------------------------
1   VERSION  13.00.00.15
2   RELEASE  13.00.00.15
3   LANGUAGE SUPPORT MODE   Standard
 
 
select * from dbcinfo; 
 
    InfoKey  InfoData
    -------- ------------------------
1   VERSION  13.10.07.12
2   RELEASE  13.10.07.12
3   LANGUAGE SUPPORT MODE   Standard



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select regexp_replace('SatyakiDe','^(.*)([[:upper:]]{1,})(.*) $','\1 \2\3') AS COL_VAL;
 
select regexp_replace('SatyakiDe','^(.*)([[:upper:]]{1,})(.*) $','\1 \2\3') AS COL_VAL;
 
select regexp_replace('SatyakiDe','^(.*)([[:upper:]]{1,})(.*) $','\1 \2\3') AS COL_VAL;
                                   $
  *** Failure 3706 Syntax error:  expected something between '(' and the string 'S' keyword.
                      Statement# 1, Info =35
 *** Total elapsed time was 1 second.


Hope this will give adequate clarity to the answer of that above question.

Now, Lets see some other functionality.

REGEXP_SIMILAR has similar functionality like REGEXP_LIKE in Oracle.

Let's see couple of such cases -

Lets prepare the table with some dummy data -



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SELECT * FROM dbc.dbcinfo;
 
    InfoKey  InfoData
    -------- -----------------------
1   VERSION  14.10.01.05
2   RELEASE  14.10.01.04
3   LANGUAGE SUPPORT MODE   Standard
 
 
CREATE MULTISET VOLATILE TABLE TEST_T1
  (
            COL1  VARCHAR(10)
  ) 
ON COMMIT 
PRESERVE ROWS;
 
  INSERT INTO TEST_T1 VALUES('456')
  ;INSERT INTO TEST_T1 VALUES('123x')
  ;INSERT INTO TEST_T1 VALUES('x123')
  ;INSERT INTO TEST_T1 VALUES('y')
  ;INSERT INTO TEST_T1 VALUES('+789')
  ;INSERT INTO TEST_T1 VALUES('-789')
  ;INSERT INTO TEST_T1 VALUES('159-')
  ;INSERT INTO TEST_T1 VALUES('-1-');

Lets check the data now -

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SELECT *
FROM TEST_T1;
 
    COL1
1   123x
2   456
3   x123
4   +789
5   -789
6   y
7   159-
8   -1-


Let's look into the various scenarios now -
Case 1 (Returns Mixed Numbers, Signed Numbers & Non Numbers),

 
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SELECT *
 FROM TEST_T1
 WHERE REGEXP_SIMILAR(COL1,'^[0-9]+$','c')=0;
 
    COL1
    -----
1   123x
2   x123
3   +789
4   -789
5   y
6   159-
7   -1-



Case 2 (Returns Only Unsigned Positive Numbers),

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SELECT *
 FROM TEST_T1
 WHERE REGEXP_SIMILAR(COL1,'^[0-9]+$','c')=1;
 
COL1
-----
456


Case 3 (Returns All Numbers including Positive, Negative & unsigned),

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SELECT *
FROM TEST_T1
WHERE REGEXP_SIMILAR(COL1,'^[+-]?[0-9]+[+-]?$','c')=1;
 
COL1
-----
456
+789
-789
159-
-1-


Case 4 (Returns Only Non Numbers i.e. Characters),


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SELECT *
FROM TEST_T1
WHERE REGEXP_SIMILAR(COL1,'[^0-9]+','c')=1;

COL1
----
y


Hope this will give you some additional idea. :)

My objective is to provide basic information to my friends. So, that they can write better SQL in TD while migrating from other popular databases or new developer in TD can get a flavor of this powerful feature & exploit them in all the positive aspect & apply them properly. :D

Really appreciate your time to read this post.

Regards.

Satyaki De.










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1 comments:

Satyaki De said...
March 28, 2014 at 8:03 AM  

Please find my updated blog at ->

http://satyakide.wordpress.com/

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