Monday, February 05, 2007
See You at SHARE?
For those of you who don't know about SHARE, it is an independent, volunteer-run association for IBM customers. It is not only mainframe-focused, but it is one of the last events mainframe folks can attend to hear about mainframe topics from z/OS to JES and from CICS to IMS to DB2.
I will be presenting on Monday (2/12) and Tuesday (2/13). On Monday I will cover a DB2 Performance Tuning Roadmap - basically presenting a ahigh-level overview of the "things" you need to be aware of, and track, in order to assure an optimally performing DB2 environment. And then on Tuesday I'll be addressing change control for DB2 access paths. As you know, change is strictly controlled on the mainframe, but one exception has been DB2 access paths. Binds and Rebinds are typically done in the production environments without the benefit of oversight or prior testing. This lack of change control results in unpredictable performance impacts. This presentation will discuss the issues and problems this causes, as well as how you can use Bind ImpactExpert to analyze and manage access path changes in your DB2 environment.
And I'll be attending the event all week long, so I'll be sure to post a blog or two about interesting things I learn at the show... so get yourself to Tampa if you can, but if you can't, be sure to tune in during the week next week to hear about some of the highlights (at least my take on the highlights) of SHARE.
Wednesday, January 31, 2007
A Quick Intro to DB2 SQL Functions
Functions can be specified in SQL statements to transform data from one state to another. Two types of functions can be applied to data in a DB2 table using SQL: column functions and scalar functions. Column functions analyze a group of rows and compute a single value for a designated column or expression. For example, the SUM function can be used to add, returning the sum of the values instead of each individual value:
SELECT SUM(SALARY)
FROM EMP
WHERE WORKDEPT = 'A01';
This query will return the total salary for all employees in the A01 department. This is a better solution than writing a program to read all employee rows in department A01 and then adding the salaries. With the SUM function less data is returned to the program, so it will operate much more efficiently.
The second type of function is a scalar function. Scalar functions are applied to a column or expression and operate on a single value. For example, the DAYOFWEEK function reads a single date value and returns an integer in the range of 1 to 7; where 1 is Sunday and 7 is Saturday:
SELECT DAYOFWEEK(HIREDATE)
FROM EMP
WHERE EMPNO = '000100';
This query will return an integer between 1 and 7 that indicates the day of the week when employee number 000100 was hired. Of course, this is just one example of many, many scalar functions supported by DB2. For a complete list of the available functions, refer to Chapter 3 of the IBM DB2 SQL Reference manual. Using scalar functions is generally more efficient than writing your own code to do the same thing.
Speaking of writing your own code, though, you can write your own user-defined functions (UDFs) in addition to the base, system-defined functions. UDFs give you the ability to write your own customized DB2 functions and standardize on that code. Consider creating UDFs for specific algorithms and processing that need to be executed in multiple applications in your organization. By writing the code once, putting it into a DB2 UDF, and then calling it whenever you need it, you will minimize errors and improve reusability.
A user-defined function can be specified anywhere a system-defined function can be specified.
Sunday, January 28, 2007
Sorting Out a Solution in DB2
Some of you might be asking "What the heck is he talking about?" That's a fair question, so let’s look at an example to clarify.
Assume that you have a table containing transactions, or some other type of interesting facts. The table has a CHAR(3) column containing the name of the day on which the transaction happened; let’s call this column DAY_NAME.
Now, let’s further assume that we want to write queries against this table that orders the results by DAY_NAME. We’d want Sunday first, followed by Monday, Tuesday, Wednesday, and so on. How can this be done?
Well, if we write the first query that comes to mind the results will obviously be sorted improperly:
SELECT DAY_NAME, COL1, COL2 . . .
FROM TXN_TABLE
ORDER BY DAY_NAME;
The results from this query would be ordered alphabetically; in other words
FRI
MON
SAT
SUN
THU
TUE
WED
This is what I mean be an irregular sorting requirement. The example may not be an everyday need, but it is not unrealistic for a business to have this, or a similar requirement that needs a different sort order than strictly alphabetical or numeric. So what is the solution here?
Of course, one solution would be to design the table with an additional numeric or alphabetic column that would sort properly. By this I mean that we could add a DAY_NUM column that would be 1 for Sunday, 2 for Monday, and so on. But this requires a database design change, and it becomes possible for the DAY_NUM and DAY_NAME to get out of sync.
There is another solution that is both elegant and does not require any change to the database. To implement this solution all you need is an understanding of SQL and SQL functions – in this case, the LOCATION function. Here is the SQL:
SELECT DAY_NAME, COL1, COL2 . . .
FROM TXN_TABLE
ORDER BY LOCATE(DAY_NAME, 'SUNMONTUEWEDTHUFRISAT');
The trick here is to understand how the LOCATE function works: it returns the starting position of the first occurrence of one string within another string.
So, in our example SQL, LOCATE finds the position of the DAY_NAME value within the string 'SUNMONTUEWEDTHUFRISAT', and returns the integer value of that position. So, if DAY_NAME is WED, the LOCATE function in the above SQL statement returns 10. Sunday would return 1, Monday 4, Tuesday 7, Wednesday 10, Thursday 13, Friday 16, and Saturday 19. This means that our results would be in the order we require.
(Note: Other database systems have a similar function called INSTR.)
Of course, you can go one step further if you’d like. Some queries may need to actually return the day of week. You can use the same technique with a twist to return the day of week value given only the day’s name. To turn this into the appropriate day of the week number (that is, a value of 1 through 7), we divide by three, use the INT function on the result to return only the integer portion of the result, and then add one:
INT(LOCATE(DAY_NAME, 'SUNMONTUEWEDTHUFRISAT')/3) + 1;
Let’s use our previous example of Wednesday again. The LOCATE function returns the value 10. So, INT(10/3) = 3 and add 1 to get 4. And sure enough, Wednesday is the fourth day of the week.
With a sound understanding of the features of DB2 SQL, many requirements that seem "odd" at first glance, are achievable using nothing more than SQL and your imagaination.
Tuesday, November 28, 2006
On DB2 Naming Conventions
Shakespeare, many, many years ago, may have said it best when he wrote: "What's in a name? That which we call a rose by any other name would smell as sweet." But, if that is true, then why do those of us in IT spend so much time and effort developing and enforcing naming standards? Maybe what something is called is not quite so trivial a matter after all!
Well, we know what Shakespeare was trying to convey: the name by which we call something has no effect upon the actual object. Calling a desk a lamp will not turn it into a lamp: it is still a desk. Let's not forget this.
In today's blog, though, I want to offer a basic approach to database naming standards, and DB2 for z/OS naming standards, in particular.
Tables and Their Cousins
In an today's SQL DBMSes the primary access point for data is the "table." A table consists of multiple rows, each with a fixed and unchanging number of defined columns. But there are several table alternatives that behave just like tables. For example, DB2 allows the following:
- ALIAS - an alternative name that can be used in SQL statements to refer to a table or a view in the same or a remoteDB2 subsystem.
- SYNONYM - an alternative name that can be used in SQL statements to refer to a table or a view in the same DB2 subsystem. Synonyms are accessible only by the synonym owner.
- VIEW - an alternative representation of data from one ormore tables or views.
So why do some shops impose different naming standards on views than they do on tables? It makes sense to use the exact same naming convention for tables, views, aliases, and synonyms. These four database objects all logically refer to the same thing - a representation of data in terms of columns and rows.
Why would you want to implement different naming conventions for each of these objects? Let's examine the pros and cons. Consider your current table naming conventions. If your shop is typical, you will find a convention that is similar to this:
Format: aaa_dddddddddddddd
Example: ORD_ITEM
Here aaa is a three character application identifier and the remainder is a free-form alphanumeric description of the table. In the example we have the three character ORD (representing perhaps "order entry" followed by an underscore and ITEM. So this is the "item" table in the order entry system.If your standards are significantly different, pause for a moment to ask yourself why. The format shown is almost an industry standard for table naming. You most surely do not want to force every DB2 table to begin with a T (or have a strategically embedded T within the table name). The name of a DB2 table should accurately and succinctly convey the contents of the data it contains. The naming convention displayed in Figure 1 accomplishes this.
So this brings us to our second naming convention recommendation: avoid embedding a 'T', or any other character, into table names to indicate that the object is a table. Likewise, indicator characters should be avoided for any other table-like object (i.e. aliases, synonyms, and views). Although most shops avoid embedding a 'T' in the table name, many of these same shops do embed a character into alias, synonym, and especially view names. The primary reason given is that the character makes it easy to determine what type of object is being accessed just by looking at the name.
There are two reasons why this is a bad idea. The first is a semantic reason, the second a flexibility issue. In semantic terms, an object's name need only identify the object, not the object's type. Consider the following arguments: How are people named? Usually one can ascertain the gender of someone simply by knowing their name but would you banish all males named Chris, Pat, or Terry? Or maybe all females named Chris, Pat, and Terry? After all, men and women are different. Shouldn't we make sure that all men's names are differentiated from women's names? Maybe we should start all men's names with an 'M' and all women's names with a W? If we did, we'd sure have a lot of Marks and Wendys, wouldn't we? The point here is that context enables us to differentiate men from women, when it is necessary. The same can be said of database objects.
How about another example: how are COBOL program variables named? Do you name your 01, 05, and 77 level variable names differently in your COBOL programs? For example, do all 01 levels start with 'O' (for one), all 05 levels start with 'F', and all 77 levels start with 'S'? No? Why not? Isn't this the same as forcing views to start with V (or having a strategically embedded V within the name)?
What about the naming of pets? Say I have a dog, a cat, and a bird. Now, I wouldn't want to get them confused, so I'll make sure that I start all of my dog names with a D, cat names with a C, and bird names with a B. So, I'll feed C_FELIX in the morning, take D_ROVER for a walk after work, and make sure I cover B_TWEETY's cage before I go to bed. Sounds ridiculous, doesn't it?
The whole point of this tirade is that if we don't manufacture hokey names in the real world, why would we want to do it with our DB2 objects? There is really no reason to embed special characters into DB2 objects names to differentiate them from one another. It is very practical and desirable to name DB2 objects in a consistent manner, but that consistent manner should be well-thought-out and should utilize the system to its fullest capacity wherever possible.
The second reason for this rule is to increase flexibility. Say, for example, that we have a table that for some reason is significantly altered, dropped, or renamed. If views are not constrained by rigid naming conventions requiring an embedded 'V' in the name, then a view can be constructed that resembles the way the table used to look. Furthermore, this view can be given the same name as the old table. This increases system flexibility. Most users don't care whether they are using a table, view, synonym, or alias. They simply want the data. And, in a relational database, tables, views, synonyms, and aliases all logically appear to be identical to the end user: as rows and columns.
Although it is true that there are certain operations that cannot be performed on certain types of views, the users who need to know this will generally be sophisticated users. For example, very few shops allow end users to update any table they want using QMF, SPUFI, or some other tool. Updates, deletions, and insertions (the operations which are not available to some views) are generally coded into application programs and scheduled in batch or executed on-line in transactions. The end user does need to query tables dynamically. Now you tell me, which name will your typical end user remember more readily when he needs to access his marketing contacts: MKT_CONTACT or VMKTCT01?
Further Arguments For Indicators
Some folks believe they have very valid reasons for embedding an object type indicator character into database objects - view names, in particular. Let's examine these arguments.
Point Embedding a V into our view names enables our DBAs to quickly determine which objects are views and which are tables.
Counterpoint Many of these shops do not embed a T into the table name, but feel that a V in the view name is necessary. It is believed that the DBA will be able to more easily discern views from tables. But, rarely do these shops force an S into synonym names or an A into alias names. Even if they do, it is usually overkill. Any good DBA already knows which objects are tables and which are views, and if he or she doesn't, a simple query against the system catalog will clarify the matter. For example, in DB2, this query will list all table-like objects:
SELECT NAME, CREATOR, "TABLE"
FROM SYSIBM.SYSTABLES
WHERE TYPE = "T"
UNION ALL
SELECT NAME, CREATOR, "ALIAS"
FROM SYSIBM.SYSTABLES
WHERE TYPE = "A"
UNION ALL
SELECT NAME, CREATOR, "SYNONYM"
FROM SYSIBM.SYSSYNONYMS
UNION ALL
SELECT NAME, CREATOR, "VIEW"
FROM SYSIBM.SYSVTREE
ORDER BY 3, 1;
Point It is necessary to code view names differently so that users understand that they are working with a view and not all operations can be performed on the view.
Counterpoint All operations can be performed on some views but not all operations can be performed on all tables! What if the user does not have the security to perform the operation? For example, what is the difference, from the user's perspective, between accessing a non-updateable view and accessing a table where only the SELECT privilege has been granted?
Use It or Lose It
Another common problem with database naming conventions is unnecessary size restrictions. Using DB2 as an example, most objects can have a name up to 18 characters long (even more after moving to DB2 V8). But, in many instances, shops establish naming standards that do not utilize all of the characters available. This is usually unwise, which brings us to our third recommendation: Unless a compelling reason exists, ensure that your standards allow for the length of database object names to utilize every character available.
Here is a list of maximum and recommended lengths for names of each DB2 object:
----------------------------------------------------------
Recommended
DB2 Object Max Length (V7) Max Length(V8) Length
---------- --------------- -------------- -----------
STOGROUP 8 128 128
Database 8 8 8
Tablespace 8 8 8
Table 18 128 128
View 18 128 128
Alias 18 128 128
Synonym 18 128 128
Column 18 128 128
Check Constraint 18 128 128
Ref. Constraint 8 128 128
Index 18 128 8
----------------------------------------------------------
Notice that, except for indexes, the recommended length is equal to the maximum length for each object. Why are indexes singled out in DB2? This is an example of a compelling reason to bypass the general recommendation. Developers can explicitly name DB2 indexes, but they cannot explicitly name DB2 index spaces. Yet, every DB2 index requires an index space - and an index space name. The index space name will be implicitly generated by DB2 from the index name. If the index name is 8 characters or less in length, then the index space name will be the same as the index name. However, if the index name is longer than 8 characters, DB2 will use an internal, proprietary algorithm to generate a unique, 8-byte index space name. As this name cannot be determined prior to index creation, it is wise to limit the length of index names to 8 characters. Also, since the only folks who will be interested in the index space name are DBAs, there is no reason to make the names more descriptive for general end users... and DBAs are used to dealing with cryptic names (some of them even like it).
This is a good example of the maxim that there are exceptions to every rule.
Another exception may be that users of DB2 V8 may want to impose V7 length restrictions on their objects. You might want to do this to discourage verbose names (128 is a BIG extension over 18 bytes). Maybe you have applications that cannot easily use or display such wordy object or column names.
Embedded Meaning
One final troublesome naming convention used by some shops is embedding specialized meaning into database object names. The name of an object should reflect what that object is or represents. However, it should not attempt to define the object and describe all of its metadata.
With this in mind, it is time for another recommendation: Do not embed specialized meaning into database object names.
Let's examine this in more detail by means of an example. Some shops enforce DB2 index naming conventions where the type of index is embedded in the index name. Consider the following example:
Format: Xaaaaayz
Example: XORDITCU
Here X is a constant, aaaaa is unique five character description (perhaps derived from the table name), y is an indicator for clustering (either C for clustered or N for nonclustered), and z is an indicator for index type (P for primary key, F for foreign key, U for unique, and N for non-unique).
So, the example is a unique, clustering index on the ORD_ITEM table. Note two potential problem areas with this standard:
- An embedded X identifies this object as an index.
- Embedded meaning in the form of indicators detailing the type of index.
The embedded indicator character 'X', although unnecessary, is not as evil as indicator characters embedded in table-like objects. Indexes are not explicitly accessed by users. Therefore, obscure or difficult-to-remember naming conventions are not as big of a problem. The same arguments hold true for tablespace names. In fact, indicator characters may actually be helpful to ensure that tablespaces and indexes are never named the same. Within the same database, DB2 does not permit a tablespace to have the same name as any index, and vice versa. DB2 uses a name generation algorithm to enforce uniqueness if it is attempted. So, if you must use indicator characters in database names, use them only in objects which are never explicitly accessed by end users.
The second potential problem area poses quite a bit of trouble. Consider the following cases which would cause the embedded meaning in the index name to be incorrect:
- The primary key is dropped.
- A foreign key is dropped.
- The index is altered from non-unique to unique (or vice versa) using a database alteration tool.
In each of these cases we would have to re-name the index or we would have indexes with embedded characters that did not accurately depict the metadata for the index. Both are undesireable.
And there are additional problems to consider with this naming convention, as well. What if an index is defined for a foreign key, but is also unique? Should we use an 'F' or a 'U'? Or do we need another character?
The naming convention also crams in whether the index is clustering ('C') or not ('N'). This is not a good idea either. Misconceptions can occur. For example, in DB2, if no clustering index is explicitly defined, DB2 will use the first index created as a clustering index. Should this index be named with an embedded 'C' or not? And again, what happens if we switch clustering indexes - we would have to re-name indexes.
Let's look at one final example from the real world to better illustrate why it is a bad idea to embed specialized meaning into database object names. Consider what would happen if we named corporations based upon what they produce. When IBM began, they produced typewriters. If we named corporations like some of us name database objects, the company could have been named based upon the fact that they manufactured typewriters way back when. So IBM might be called TIBM (the T is for typewriters).
Now guess what, TIBM doesn't make typewriters any longer. What should we do? Rename the company or live with a name that is no longer relevant? Similar problems ensure with database object names over time.
Synopsis
Naming conventions evoke a lot of heated discussion. Everybody has their opinion as to what is the best method for naming database objects. Remember, though, that it is best to keep an open mind.
It is just like that old country novelty hit "A Boy Named Sue." Johnny Cash may have been upset that his father gave him a girl's name, but that was before he knew why. In a similar manner, I hope that this blog topic caused you to think about naming conventions from a different perspective. If so, I will consider it a success.
Tuesday, November 21, 2006
Character Versus Numeric Data Types
Well, there are drawbacks! Without proper edit checks, INSERTs and UPDATEs could place invalid alphabetic characters into the alphanumeric column. This can be a very valid concern if ad hoc data modifications are permitted. Although it is uncommon to allow ad hoc modifications to production databases, data problems can still occur if all of the proper edit checks are not coded into every program that can modify the data. But let's assume (big assumption) that proper edit checks are coded and will never be bypassed. This removes the data integrity question.
There is another problem, though, that is related to performance and filter factors. Consider the possible number of values that a CHAR(4) column and a SMALLINT column can assume. Even if programmatic edit checks are coded for each, DB2 is not aware of these and assumes that all combinations of characters are permitted. DB2 uses base 37 math when it determines access paths for character columns, under the assumption that 26 alphabetic letters, 10 numeric digits, and a space will be used. This adds up to 37 possible characters. For a four-byte character column there are 3**74 or 1,874,161 possible values.
A SMALLINT column can range from -32,768 to 32,767 producing 65,536 possible small integer values. The drawback here is that negative codes and/or 5 digit codes could be entered. Both do not conform to the 4 digit maximum. However, if we adhere to our proper edit check assumption, the data integrity problems will be avoided here, as well.
DB2 will use the HIGH2KEY and LOW2KEY values to calculate filter factors. For character columns, the range between HIGH2KEY and LOW2KEY is larger than numeric columns because there are more total values. The filter factor will be larger for the numeric data type than for the character data type which may influence DB2 to choose a different access path. For this reason, favor the SMALLINT over the CHAR(4) definition.
The leading zeroes problem should be able to be solved using other methods. It is not necessary to store the data in the same format that users wish to display it. For example, when using QMF, you can ensure that leading zeroes are shown in reports by using the "J" edit code. Other report writes offer similar functionality. And report programs can be coded to display leading zeroes easily enough by moving the host variables to appropriate display fields.
In general, it is wise to choose a data type which is closest to the domain for the column. If the column is to store numeric data, favor choosing a numeric data type: SMALLINT, INTEGER, DECIMAL, or floating point. Same goes for temporal data (that is, choose DATE, TIME, or TIMESTAMP instead of a character or numeric data type). In addition, always be sure to code appropriate edit checks to ensure data integrity - but remember, fewer need to be coded if you choose the correct data type because DB2 automatically prohibits data that does not conform to the data type for each column.