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C2090-730 exam Dumps Source : DB2 9 Fundamentals

Test Code : C2090-730
Test appellation : DB2 9 Fundamentals
Vendor appellation : IBM
: 302 actual Questions

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IBM DB2 9 Fundamentals

A reserve to the IBM DB2 9 Fundamentals certification examination | killexams.com actual Questions and Pass4sure dumps

the following excerpt from DB2 9 Fundamentals: Certification perceive at book, written by means of Roger E. Sanders, is reprinted with authorization from MC Press. read the complete Chapter 1, A e reserve to the IBM DB2 9 certification examination in case you believe taking a DB2 9 Fundamentals certification exam may be your subsequent career move.

The IBM DB2 9 certification system

a close examination of the IBM certification roles purchasable rapidly displays that, in an endeavor to gain a specific DB2 9 certification, you should grasp and tide one or extra assessments which own been designed above sum for that certification function. (every exam is a application-primarily based examination it is neither platform -- nor product-selected.) for that reason, after you own chosen the certification function you necessity to pursue and familiarized your self with the requirements for that specific function, the next step is to attach together for and grasp the acceptable certification tests.

making ready for the IBM DB2 9 certification exams

if you own experience the usage of DB2 9 in the context of the certification function you own chosen, you may furthermore already possess the talents and capabilities crucial to race the examination(s) required for that position. besides the fact that children, in case your experience with DB2 9 is proscribed (and besides the fact that it is not), you can attach together for any of the certification checks accessible by using taking handicap of right here materials:

  • Formal training
  • IBM learning features presents lessons which are designed to help you attach together for DB2 9 certification. a catalogue of the courses which are informed for each and every certification exam may furthermore be found the usage of the Certification Navigator device supplied on IBM's "professional Certification software from IBM " internet site. informed courses can furthermore be found at IBM's "DB2 records management" internet web site. For more information on course schedules, places, and pricing, contact IBM getting to know features or consult with their internet web page.

  • on-line tutorials
  • IBM presents a collection of seven interactive on-line tutorials designed to attach together you for the DB2 9 Fundamentals examination (exam 730). IBM furthermore presents a progression of interactive online tutorials designed to attach together you for the DB2 9 for Linux, UNIX, and windows Database Administration exam (exam 731) and the DB2 9 family utility development exam (exam 733).

  • Publications
  • all of the counsel you should pass any of the attainable certification checks will furthermore be found in the documentation that is provided with DB2 9. a complete set of manuals comes with the product and are attainable in the course of the tips core upon getting installed the DB2 9 application. DB2 9 documentation can even be downloaded from IBM's internet web site in both HTML and PDF formats. @39202

    Self-analyze books (similar to this one) that heart of attention on one or more DB2 9 certification tests/roles are furthermore purchasable. every one of these books may furthermore be discovered at your indigenous bookshop or ordered from many online booklet retailers. (a list of workable reference materials for each and every certification exam may furthermore be discovered the usage of the Certification Navigator appliance supplied on IBM's "expert Certification software from IBM" web web site.)

    moreover the DB2 9 product documentation, IBM often produces manuals, known as "RedBooks," that cowl advanced DB2 9 subject matters (in addition to other issues). These manuals can be found as downloadable PDF files on IBM's RedBook net web page. Or, if you prefer to own a confident tough copy, that you may attain one for a modest expense by route of following the applicable hyperlinks on the RedBook internet site. (There is no cost for the downloadable PDF files.)

  • exam goals
  • ambitions that give an contour of the basic themes that are covered on a specific certification examination may furthermore be found using the Certification Navigator appliance offered on IBM's "skilled Certification software from IBM" internet site. exam goals for the DB2 9 household Fundamentals examination (examination 730) can furthermore be found in Appendix A of this e-book.

  • sample questions/exams
  • sample questions and sample assessments can help you develop into intimate with the format and wording used on the specific certification assessments. they could assist you resolve no matter if you possess the potential mandatory to tide a selected examination. sample questions, along with descriptive solutions, are offered at the conclusion of each chapter during this ebook and in Appendix B. sample assessments for each DB2 9 certification position accessible will furthermore be found using the Certification examination appliance offered on IBM's "professional Certification program from IBM" web site. there is a $10 can freight for every examination taken.

    it is faultfinding to notice that the certification checks are designed to be rigorous. Very certain answers are anticipated for many exam questions. on account of this, and because the latitude of cloth covered on a certification exam is continually broader than the abilities foundation of many DB2 9 gurus, construct confident to grasp talents of the exam guidance components obtainable if you wish to assure your success in acquiring the certification(s) you want.

  • The relaxation of this chapter details sum attainable DB2 9 certifications and comprises lists of counseled items to grasp before taking the examination. It furthermore describes the structure of the checks and what to anticipate on examination day. read the comprehensive Chapter 1: A ebook to the IBM DB2 9 certification exam to be trained more.

    international commerce Machines' (IBM) administration on this autumn 2018 consequences - earnings summon Transcript | killexams.com actual Questions and Pass4sure dumps

    No outcome found, are trying original key phrase!throughout their segments, their strategic imperatives income for the year was up 9% to ... their Db2 portfolio including analytics home equipment, and records Science offerings. exact for their IBM Cloud deepest ...

    Oracle’s Roaring, however no longer Yet on Hardware | killexams.com actual Questions and Pass4sure dumps

    utility huge Oracle just stated fourth quarter income that beat the consensus of Wall road analysts despite a 6 percent lower in hardware income.

    The fragile point in hardware despatched shares down with the aid of more than four percent in after-hours buying and selling. Oracle pointed out that in the wake of its acquisition of solar Microsystems a year in the past, the commerce is focusing extra on promoting a lessen volume of hardware at a higher profit margin. That technique of transition is silent underway as that you can examine in my liveblog insurance from the income conference appellation beneath.

    2:12 pm: And the appellation is underway. President Safra Catz is making some opening remarks.

    There’s the primary reference to hardware. “We’re running the sun enterprise in a greater income-conscious manner than before.” Hardware extreme margins own been fifty six percent. Later this 12 months I predict the growth in the sun items to be “rather obtrusive.”

    “We may well be returned at pre-solar operating margins partially straight away as there continues to be loads of leverage in their working mannequin.”

    Catz: “we own $29 billion in cash and marketable securities.”

    counsel: As you be aware, they had a fabulous Q1 final 12 months. Assuming exchange continues to be at current levels: original application is anticipated to clarify 10 to twenty p.c boom, hardware is plus or minus 5 p.c.

    total income anticipated to grown 9 to 12 p.c non-GAAP.

    EPS forty five to 48 non-GAAP.

    2:17 pm: And right here’s Larry. “We’re already practically twice as massive as IBM, and taking participate faraway from them in databases.”

    We did a pair of cloud computing deals. They did a deal with Salesforce.com this 12 months. They did a grasp supervision of the largest and optimum names in cellular gadgets and cloud computing. (may he be referring to Apple?)

    The expansion of their Exadata enterprise plus their Exalogic company, may silent turbocharge their hardware company.

    And here’s heed Hurd. They sold a lot of application. application augment changed into broad based mostly. It was the first time we’ve ever sold more than $1 billion in apps.

    Our sequential augment in Exadata turned into more than 50 percent. Proctor & Gamble, J.P. Morgan Chase and Apple (yes, Ellison changed into speakme about Apple previous) own helped us race the 1,000-equipment threshold. (Paraphrasing Hurd there.)

    2:21 pm: Time for mp;A from the analysts.

    First query from Morgan Stanley: The hardware company: How cloth become the headwind relative to the shift within the mannequin? What offers you self assurance that you should acquire it growing again? And a question about attach costs.

    Hurd answers: he's explaining attach costs. We’ve moved to a mannequin the Place they own the service lined up to the sales activity. promoting instruments that haven't any extreme margin is handy to do. we're focused on selling hardware programs at a better rate, that are of a much better value to the client and that dwell installed longer.

    question from Merrill Lynch: a query about counsel. how you could own incorporated a questionable macroeconomic forecast. And a second query about connect prices.

    Larry jumps in: The connect cost to Exalogic and Exadata is 100 percent. They own become an even bigger portion of their tolerable hardware company. That improves their profitability. Exadata is growing to be sooner than their typical sun line. They promote further and further engineered methods and fewer undifferentiated programs. This allows for us to augment their earnings of Middleware because it runs greater on Exalogic.

    Ellison: They sell greater database and middleware on account of Exadata and Exalogic.

    Catz on the economic system: We’ve received guys worldwide who roll in a forecast for us. but its very a entire lot the equal. The actuality is the economic climate is as it is, and they continue to develop. This become an organic growth quarter for us. We’ve obtained loads of very Oracle-particular momentum going.

    Hurd: They brought 800 individuals to the sales company this quarter. If that offers you a concept of their self credit of where the market is.

    question from credit Suisse: question about the income drive alternate that the analyst focused on in his pre-income keep remaining month.

    Hurd on the earnings force: They attach extra territories within the sphere by using getting greater density of coverage. They accept as apt with we're beneath-dispensed. after they acquire in front of extra consumers they sell more software.

    Hurd: One salesperson had 20 customers. They feel that adult can sell just as an poor lot utility calling on 5 shoppers.

    Ellison: We’re going to add a few home equipment. One is a gigantic reminiscence addition to Exadata for gigantic records. As reminiscence turns into more affordable and bigger scale. We’ll be motto within the drop at Oracle Openworld.

    He’s now answering a query about Hadoop bins. He says they don’t supplant databases. The huge facts accelerator includes one of the vital open source accessories dote Hadoop and a few other Oracle items that may pace up the MapReduce manner that Hadoop does. Oracle has at sum times adopted database technology tendencies…and saved up and reasonably often led on innovation.

    Ellison: IBM nonetheless hasn’t forward out with an appliance that runs their DB2 database very quickly. in its Place they ran out and did an acquisition. (looks IBM is the going to be the sufferer of his verbal jabs this name, no longer Hewlett-Packard.)

    question from J.P. Morgan: Hardware margins had been potent. The greater margin enterprise become more desirable than the low margin. but this is the 2d quarter in a row that hardware has decrased. Is it because the commodity company is shrinking quicker?

    Hurd: Its just the basics of constructing a company. we're inserting greater insurance out out there. Making bound they connect sum the peripherals. They necessity to develop the redress line, but they wish to grow it correct. Getting these lofty margin earnings is essential. You’re going to perceive fabric growth in Exadata and Exalogic. We’ll be focused on some competitors which own some key vulnerabilities.

    Catz: They used to resell Hitachi, but the different massive storage they offered become LSI, which sum through the quarter became bought to NetApp. Their promoting of these storage items ordinary is down, however promoting their personal storage products is up.

    Hurd: You perceive the equal constituent within the server enterprise. The larger margin products own higher growth prices, and the x86 line is slower.

    Catz: They perceive offers are available that aren’t ecocnomic and so they walk far from them. They wish to construct funds. We’re comic that approach.

    question from UBS: about the forecast for brand original license revenue.

    Catz: They sum the time own some spillover. They perceive at what the guys are forecasting. The Exadata and Exlogic methods definitely help because you necessity to purchase application. On the app facet, we’ve been on a roll. I add my own Little bit of conservatism. The summer season means chasing the contracts whereas individuals are on vacation.

    question for Elllison: You thought there would be 50 to 100 shoppers for Oracle Fusion.

    Ellison: we've a number of Fusion shoppers that are reside, and it’s being rolled out fully. We’re the simplest utility supplier that offers the identical technology on their cloud, or you can attach it for your deepest cloud. And if you want we’ll hasten it for you.

    Ellison: They assume we’ve been competing very smartly with SAP, very readily. They own no solutions regarding the cloud at all. They own nothing. (okay, now SAP receives a Little little bit of Larry’s abuse.)

    query from Lazard Capital: a query about Exalogic. What’s riding the boom and are there any great consumer wins?

    Hurd: With Exalogic you recede to Java applications and want to pace them up versus if you happen to’re operating them on x86. It’s a really fascinating value proposition.

    question from Wells Fargo: you own lots of money on the stability sheet. How are you brooding about acquisitions? Valuations aren’t exactly low. (Oracle has $29 billion.)

    Ellison: They had 19 p.c boom with out acquisitions. they will grow via acquisitions when they are attractive and construct experience. at this time they aren’t and so they aren’t doing them. right now we’re focusing on organic growth, which skill expanding the revenue drive and introducing original products. They suppose they own an poor lot to sell. they will grow by route of acquistions when the casual presents itself and when the economics construct feel. at the second they don’t construct feel.

    Catz: each as soon as in awhile they determine a jewel. expense does signify number to us. They simply are looking to be certain it’s an excellent commerce case when they achieve it. expenses own recently been fairly ridiculous.

    And now a observe-up query on Catz’s prior comment on returning to pre-sun working margins.

    Catz: They ingested a funds-dropping hardware company and they nonetheless own the optimum operating margins within the software business. There isn't any explanation why this year couldn’t be basically dazzling.

    With the application enterprise and the colossal installed foundation who renew with us every year, there’s nevertheless lots of leeway left in their mannequin.

    And that’s a wrap!

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    DB2 9 Fundamentals

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    A steer to the IBM DB2 9 Fundamentals certification exam | killexams.com actual questions and Pass4sure dumps

    The following excerpt from DB2 9 Fundamentals: Certification study guide, written by Roger E. Sanders, is reprinted with authorization from MC Press. Read the complete Chapter 1, A steer to the IBM DB2 9 certification exam if you assume taking a DB2 9 Fundamentals certification exam might be your next career move.

    The IBM DB2 9 certification process

    A close examination of the IBM certification roles available quickly reveals that, in order to obtain a particular DB2 9 certification, you must grasp and pass one or more exams that own been designed specifically for that certification role. (Each exam is a software-based exam that is neither platform -- nor product-specific.) Thus, once you own chosen the certification role you wish to pursue and familiarized yourself with the requirements for that particular role, the next step is to prepare for and grasp the confiscate certification exams.

    Preparing for the IBM DB2 9 certification exams

    If you own experience using DB2 9 in the context of the certification role you own chosen, you may already possess the skills and learning needed to pass the exam(s) required for that role. However, if your experience with DB2 9 is limited (and even if it is not), you can prepare for any of the certification exams available by taking handicap of the following resources:

  • Formal education
  • IBM Learning Services offers courses that are designed to help you prepare for DB2 9 certification. A listing of the courses that are recommended for each certification exam can be found using the Certification Navigator appliance provided on IBM's "Professional Certification Program from IBM " Web site. Recommended courses can furthermore be found at IBM's "DB2 Data Management" Web site. For more information on course schedules, locations, and pricing, contact IBM Learning Services or visit their Web site.

  • Online tutorials
  • IBM offers a progression of seven interactive online tutorials designed to prepare you for the DB2 9 Fundamentals exam (Exam 730). IBM furthermore offers a progression of interactive online tutorials designed to prepare you for the DB2 9 for Linux, UNIX, and Windows Database Administration exam (Exam 731) and the DB2 9 Family Application development exam (Exam 733).

  • Publications
  • All the information you necessity to pass any of the available certification exams can be found in the documentation that is provided with DB2 9. A complete set of manuals comes with the product and are accessible through the Information heart once you own installed the DB2 9 software. DB2 9 documentation can furthermore be downloaded from IBM's Web site in both HTML and PDF formats. @39202

    Self-study books (such as this one) that focus on one or more DB2 9 certification exams/roles are furthermore available. Most of these books can be found at your local bookstore or ordered from many online reserve retailers. (A listing of workable reference materials for each certification exam can be found using the Certification Navigator appliance provided on IBM's "Professional Certification Program from IBM" Web site.)

    In addition to the DB2 9 product documentation, IBM often produces manuals, known as "RedBooks," that cover advanced DB2 9 topics (as well as other topics). These manuals are available as downloadable PDF files on IBM's RedBook Web site. Or, if you prefer to own a bound arduous copy, you can obtain one for a modest fee by following the confiscate links on the RedBook Web site. (There is no freight for the downloadable PDF files.)

  • Exam objectives
  • Objectives that provide an overview of the basic topics that are covered on a particular certification exam can be found using the Certification Navigator appliance provided on IBM's "Professional Certification Program from IBM" Web site. Exam objectives for the DB2 9 Family Fundamentals exam (Exam 730) can furthermore be found in Appendix A of this book.

  • Sample questions/exams
  • Sample questions and sample exams allow you to become intimate with the format and wording used on the actual certification exams. They can help you resolve whether you possess the learning needed to pass a particular exam. Sample questions, along with descriptive answers, are provided at the finish of every chapter in this reserve and in Appendix B. Sample exams for each DB2 9 certification role available can be found using the Certification Exam appliance provided on IBM's "Professional Certification Program from IBM" Web site. There is a $10 freight for each exam taken.

    It is requisite to note that the certification exams are designed to be rigorous. Very specific answers are expected for most exam questions. Because of this, and because the ambit of material covered on a certification exam is usually broader than the learning foundation of many DB2 9 professionals, you should grasp handicap of the exam preparation resources available if you want to guarantee your success in obtaining the certification(s) you desire.

  • The repose of this chapter details sum available DB2 9 certifications and includes lists of suggested items to know before taking the exam. It furthermore describes the format of the exams and what to anticipate on exam day. Read the complete Chapter 1: A steer to the IBM DB2 9 certification exam to learn more.

    Basic SQL Coding for DB2 Universal Database for OS/390 | killexams.com actual questions and Pass4sure dumps

    Take a perceive at the four primary statements of DML: Select, Update, Insert, and Delete. You will learn the function each of these can play in your efforts to master DB2. You will furthermore perceive at various aspects of SQL, a necessary language to understand though the comprehension flat will vary depending on the user's activity.

    This chapter is from the reserve 

    In the previous chapter, they discussed the definitions of various database objects using the Data Definition Language (DDL). In this chapter, they start manipulating the database objects using the portion of SQL known as Data Manipulation Language (DML). They will be populating (inserting) data into the database and retrieving the data using many powerful methods. Depending on the sophistication of the database users, they can exercise SQL to query the database. The majority of the SQL statements within a DB2 application involve DML statements. Therefore, application developers must understand the various methods of inserting, updating, and retrieving data from the database. They will start with simple retrieval statements and gradually insert more intricate methods of data manipulation. The DB2 Certification database will be used for most of the examples. There are four main DML SQL statements they consider: SELECT, INSERT, UPDATE, and DELETE.

    SQL is based on mathematical principles, specifically on set theory and relational algebra. The data is stored in the database as unordered sets of data records. SQL is a set-oriented language, and many of its language elements are directly related to relational algebraic terms, such as permutation, projection, restriction, and join.

    A set of data is represented in a DB2 database as a table or a view and is stored in a DB2 table without admiration to order. To retrieve data in a particular order, an ORDER BY phrase must be added to a SELECT statement. Similarly, if the data is to be grouped, then a GROUP BY phrase must be added to the statement.

    Now, let's review the DB2CERT database design defined in the previous chapter and exploit data using various SQL statements. There are three main tables: CANDIDATE, TEST, and TEST_CENTER. Each table represents a set of records that correspond to a test candidate (person), a test, and a test heart (location).

    There is an associative table, known as the TEST_TAKEN table, that is used to reflect the relationships among the three main tables. The TEST_TAKEN table is used to schedule the test candidates and furthermore to maintain their test scores.


    The longest SQL statement is 32,765 bytes.

    Remember that to execute any operation, the user must own the necessary privileges.

    Retrieving the Entire Table

    The most basic of sum retrieval command involves the SELECT statement with no operators other than the appellation of the table. This SQL statement retrieves sum of the candidates who own taken a DB2 Certification exam. The information requested is contained in the table TEST_TAKEN.

    SELECT * FROM db2cert.test_taken

    SQL is a data access language that consists of language statements and clauses. There are many optional clauses that can be used to modify the output. The output of a SELECT statement is known as a result set or result table. The results from the SELECT statement are shown next. In this example, using an asterisk or star character (*) for column selection, the columns will be returned to the user in the order in which they are defined in the table.

    CID TCID NUMBER DATE_TAKEN START_TIME FINISH_TIME SCORE PASS_FAIL SEAT_NO --- ---- ------ ---------- ---------- ----------- ----- --------- ------- 111 TX01 500 01/01/2000 11:30:00 12:30:00 65 Y 1 111 TX01 501 02/02/2000 10:30:00 11:45:00 73 Y 1 111 TX01 502 03/03/2000 12:30:00 13:30:00 67 Y 1 222 TR01 500 01/01/2000 14:00:00 15:30:00 55 N 2 222 TR01 502 01/02/2000 09:00:00 10:15:00 53 N 2 222 TR01 502 02/18/2000 10:00:00 11:30:00 75 Y 2 333 TX01 500 03/01/2000 11:30:00 13:00:00 82 Y 2 333 TX01 501 12/29/2000 14:00:00 - - - 1 333 TX01 502 03/02/2000 14:00:00 14:30:00 92 Y 1 9 record(s) selected.

    In SQL, the * is used to testify that sum columns of a table are being referenced. In this example, the SQL statement refers to sum of the columns defined for the DB2CERT.TEST_TAKEN table. If the table is altered and a original column is added to the table definition, the result set would accommodate the original column.


    Adding a original column to an existing table will result in default values being populated for the existing rows.

    Since the output of the SQL statement using * character varies according to the table definition, it is recommended that you specify sum of the column names you want to perceive in the SELECT statement. They could own obtained the identical result as the statement using SELECT * with the following SQL statement.

    SELECT cid, tcid, number,date_taken,start_time, finish_time,score,seat_no FROM db2cert.test_taken;


    The * character is used to advert to sum of the columns defined for a table. The order of the columns in the result table is the identical order as specified in the CREATE TABLE or CREATE VIEW statement.

    What is returned to the user is known as the result set. If the result set is great it is advisable to be confident to filter the data using a WHERE predicate.

    The FROM clause is required for the DML SQL statement, since it describes the location (table or view) of the data. Their sample references a unique table called DB2CERT.TEST_TAKEN. The SELECT and FROM clauses are required in sum data retrieval statements. The list of columns following the SELECT keyword is referred to as the select list.

    Projecting Columns from a Table

    Projection is a relational operation that allows you to retrieve a subset of the defined columns from a table. The next sample restricts the output from the SELECT command so that only the candidate ID, test center, and test number attributes from the TEST_TAKEN table are shown.

    SELECT cid,tcid,number FROM db2cert.test_taken

    The output of this SELECT statement is shown below.

    CID TCID NUMBER --- ---- ------ 111 TX01 500 111 TX01 501 111 TX01 502 222 TR01 500 222 TR01 502 222 TR01 502 333 TX01 500 333 TX01 501 333 TX01 502 9 record(s) selected.

    The order of the columns in the result table will always match the order in the select list. The order of the columns as they were defined in the CREATE TABLE or CREATE VIEW statement is ignored when a select list is provided in the SQL statement. In this example, the order of the columns is similar to the order in the CREATE TABLE statement, since the CID column was defined prior to TCID and NUMBER columns.

    Changing the Order of the Columns

    Permutation is the relational operation that allows you to change the order of the columns in your result table. Permutation is used every time you select columns in an order different than the order defined in the CREATE TABLE statement. For example, to panoply the test heart ID prior to the candidate IDs and the test number, you could execute the following:

    SELECT tcid,cid,number FROM db2cert.test_taken

    The result of this SELECT statement specifies a select list in a different order than was defined in the table definition.

    TCID CID NUMBER ---- --- ------ TX01 111 500 TX01 111 501 TX01 111 502 TR01 222 500 TR01 222 502 TR01 222 502 TX01 333 500 TX01 333 501 TX01 333 502 9 record(s) selected.


    We advert to the output of a SELECT statement as the result table because the output of sum SELECT statements can be considered a relational table.

    Restricting Rows from a Table

    Restriction is a relational operation that will filter the resulting rows of a table. Restriction can be accomplished through the exercise of predicates defined in a SQL WHERE clause. To restrict the result set, they necessity to add a WHERE clause to the SQL statement.


    A predicate is a condition placed on the data. The result of the condition is TRUE, FALSE, or UNKNOWN.

    The WHERE clause specifies conditions or predicates that must be evaluated by DB2 before the result table is returned to the finish user. There are many valid types of predicates that can be used. In the following example, the equality (=) predicate is used to restrict the records to only those candidates who own taken a DB2 Certification test at the test heart TR01.

    SELECT tcid,cid FROM db2cert.test_taken WHERE tcid ='TR01'

    The WHERE clause furthermore accepts other comparison operators, such as greater than (>), less than (<), greater than or equal to (>=), less than or equal to (<=), and not equal to (<>).This statement is an sample of a basic predicate. A basic predicate compares two values. In addition, more intricate predicates, such as LIKE, BETWEEN, and IN, are furthermore valid and will be discussed later.


    Trying to execute this sample SQL statement will result in a data kind compatibility error, because the column TCID is defined with a user-defined data kind (UDT).

    Predicate Evaluation for UDTs

    The column TCID was defined as a user-defined data type. To construct the comparison in the WHERE clause valid, a casting function needs to be used. This is not mandatory if the comparison is to a literal or host variable. This technique is however demonstrated below:

    SELECT tcid, cid FROM db2cert.test_taken WHERE tcid=CAST('TR01' AS db2cert.center_id)

    Predicate evaluation requires that the data types be compatible (same data kind or a compatible data type). They can accomplish the data kind conversion (cast) using one of two methods:

  • Use the CAST expression.
  • Use a casting function.
  • Refer to Chapter 15, "Object Relational Programming," for more information on casting for UDTs.


    Although not always mandatory, casting is recommended to ensure compatible data types are compared, including length and scale. This allows DB2 to resolve these as indexable rather than stage 2 predicates.

    Restricting Rows Using Multiple Conditions

    It is workable to combine multiple conditions (predicates) in a unique SQL statement. The predicates can be combined using Boolean operators, such as the AND or OR operators. These operators allow you to combine multiple conditions in a unique SQL statement. The order of the predicate evaluation will not move the result set (known as set closure).

    The next sample retrieves the records for the test candidates who took a test at test heart TR01 and achieved a score greater than 65. The rows that satisfy the predicates are known as the qualifying rows. The following sample is an SQL statement using multiple predicates:

    SELECT tcid,cid,score FROM db2cert.test_taken WHERE tcid= CAST('TR01' AS db2cert.center_id) AND score > 65 Selecting Columns from Multiple Tables

    There are basically two operations that combine columns from multiple tables in a unique SQL statement. These operations are

    Cartesian Product

    A Cartesian product is a relational operation that will merge sum the values from one table with sum the values from another table. This operation is not used frequently because the result table can be very large. The number of rows in the result table is always equal to the product of the number of rows in the qualifying rows for each of the tables being accessed.


    The DB2 optimizer may pick to utilize a Cartesian product of unrelated tables if this is deemed to be an efficient mode of accessing multiple tables. An sample would be two single-row tables that are joined with a great table. The cross-product of 1 ∴ 1 = 1; thus the great table access is deferred as late as possible, with a potential augment in the restrictive predicates that can be applied without incurring the overhead of a great Cartesian result. This mode of table access is typical in processing queries against a star schema data model.

    The following sample is a Cartesian product of sum test numbers and test names from the TEST table, with sum candidates from the TEST_TAKEN table. First, select from the TEST table.

    SELECT number, appellation FROM db2cert.test NUMBER NAME ------ -------------------------------------------------- 500 DB2 Fundamentals 501 DB2 Administration 502 DB2 Application Development 3 record(s) selected. Next select of sum candidates from the test_taken table. SELECT cid,tcid FROM db2cert.test_taken CID TCID --- ---- 222 TR01 222 TR01 222 TR01 111 TX01 111 TX01 111 TX01 333 TX01 333 TX01 333 TX01 9 record(s) selected.

    Then combine the two tables to figure a Cartesian product result table.

    SELECT db2cert.test_taken.number,cid,tcid FROM db2cert.test_taken,db2cert.test NUMBER CID TCID ------ --- ---- 500 111 TX01 501 111 TX01 502 111 TX01 500 222 TR01 502 222 TR01 502 222 TR01 500 333 TX01 501 333 TX01 502 333 TX01 500 111 TX01 501 111 TX01 502 111 TX01 500 222 TR01 502 222 TR01 502 222 TR01 500 333 TX01 501 333 TX01 502 333 TX01 500 111 TX01 501 111 TX01 502 111 TX01 500 222 TR01 502 222 TR01 502 222 TR01 500 333 TX01 501 333 TX01 502 333 TX01 27 record(s) selected.

    There are two tables referenced in the FROM clause of this query. The tables are separated by commas. There is no relationship expression in the WHERE clause. This kind of query results in a Cartesian product.

    The result table is a representation of sum workable combinations of the input tables. The TEST table has three rows, and the TEST_TAKEN table has nine rows. Therefore, the SELECT statement shown above returns 27 rows. Note the first column appellation in this query. It is necessary to fully qualify the column appellation by providing the schema appellation and table appellation with the column appellation because this column exists in both the TEST table and TEST_TAKEN table. In this case, they needed to specify that the NUMBER column is to be retrieved from the DB2CERT.TEST_TAKEN table and not from the DB2CERT.TEST table.

    By adding a predicate to a Cartesian product SQL query, the result table can portray a more useful representation of the data. In the sample below, the query represents sum of the tests that were taken by the candidate whose ID is 111.

    SELECT db2cert.test_taken.number,cid,tcid FROM db2cert.test_taken,db2cert.test WHERE cid='111' NUMBER CID TCID ------ --- ---- 500 111 TX01 500 111 TX01 500 111 TX01 501 111 TX01 501 111 TX01 501 111 TX01 502 111 TX01 502 111 TX01 502 111 TX01 9 record(s) selected.

    Adding a WHERE clause to your query does not always provide the desired result. In the sample shown above, you want to know sum of the tests that were taken by the candidate whose ID is 111, and the query returns nine rows. But they know from previous queries that the candidate took only three tests. The query in the sample above has a WHERE clause to filter out the candidate whose ID is 111 from the TEST_TAKEN table, but there was no filter on the TEST_CENTER table. Therefore, the result of the query would always be a multiple of the number of testing centers. Usually, when multiple tables are referenced, you should comprise a cross-table relationship using a table merge or associate method, as shown in the following example. They will examine table associate methods further in the next section.

    SELECT db2cert.test_taken.number,cid,tcid FROM db2cert.test_taken,db2cert.test WHERE cid= '111' AND db2cert.test_taken.number=db2cert.test.number NUMBER CID TCID ------ --- ---- 500 111 TX01 501 111 TX01 502 111 TX01 3 record(s) selected.

    To avoid data redundancy, it is recommended that the database tables be normalized. Following a normalization process, a number of related tables will exist. To satisfy some of the required queries, the tables must be reconstructed. The tables are reconstructed temporarily, using a table associate strategy to bear a single-result table.

    The result tables in the previous examples usually provided candidate ID numbers and not the complete appellation of the test candidates. The candidate IDs are stored in the TEST_TAKEN table, and the complete names are stored in the CANDIDATE table. To obtain the appellation of a candidate, the data must be retrieved from the CANDIDATE table, using a relationship or associate strategy.

    Consider an sample that will list the names and phone numbers of candidates who were registered to grasp a DB2 Certification test in 2000. To accomplish this, they necessity to select data from two different tables:

  • db2cert.candidate
  • db2cert.test_taken
  • Let's retrieve a list of candidate names, phone numbers, and IDs from the CANDIDATE table. The candidate names were stored in multiple columns to allow for effortless retrieval by last name.

    SELECT fname,initial,lname,hphone,cid FROM db2cert.candidate

    The output of this sample follows. Pay special attention to the values in the CID column. It will be used as the associate column in the next example.

    FNAME INITIAL LNAME HPHONE CID -------- ------- ---------- ---------- --- Bill B Wong 1115551234 111 George Baklarz 2226543455 222 Susan M Visser 4442314244 333 Glen R Sheffield 5552143244 444 Jim G Stittle 6662341234 555 Kevin W Street 7773142134 666 Bert F Nicol 8886534534 777 Paul C Zikopoulos 9992112212 888 8 record(s) selected.

    Now, let's retrieve the ID numbers of those candidates who were registered to grasp the test in 2000.

    SELECT several cid FROM db2cert.test_taken WHERE YEAR(date_taken) = 2000 CID --- 222 111 333 3 record(s) selected.

    The candidate IDs in the TEST_TAKEN table must correspond to a candidate ID in the CANDIDATE table because of the declarative referential integrity constraints. The parent table in the relationship is the CANDIDATE table and the child table (dependent table) is the TEST_TAKEN table.

    The result table from the above query does not comprise the test candidate 444, since that candidate did not own a test scheduled for 2000. They necessity to associate the two result tables based on the candidate ID values. This column is known as the associate column.


    Query performance can significantly improve if the associate columns are appropriately indexed.

    The following unique query will satisfy the end-user requirement.

    SELECT several fname,initial,lname,hphone FROM db2cert.test_taken,db2cert.candidate WHERE YEAR(date_taken) = 2000 AND db2cert.test_taken.cid=db2cert.candidate.cid

    A table associate requires a predicate that includes an expression based on columns from the tables referenced in the FROM clause. This is known as a associate predicate. The FROM clause has not changed from the Cartesian product examples. The only contrast is in the associate predicate (test_taken.cid = candidate.cid).


    An alternative figure of the FROM clause for joins involves explicitly coding the associate keyword between the tables (rather than using a comma) and coding the associate predicates in the ON clause rather than in the WHERE clause. This mode of coding will be covered in more detail in Chapter 4, "Advanced SQL Coding."

    The table names needed to be explicitly stated because there is a column named CID in both of the referenced tables. When multiple tables are being accessed in a unique query, any selected columns that occur in more than one table must be qualified with the table name.


    An error will occur if the columns being referenced are obscure (not properly qualified).

    The maximum number of foundation tables that can be in a unique SQL statement is 225; however, you are limited to 15 tables in a associate (the FROM clause).


    The 15-table circumscribe can be increased by updating the macro SPRMMXT to a value greater than 15.

    This kind of associate operation shown in the above sample is furthermore known as an inner join. An inner associate displays only the rows that are present in both of the joined tables.

    Using Correlation Names

    If each of the columns needed to be fully qualified with the table name, such as tableschema.tablename.columnname, the queries would become very great and cumbersome to labor with. Fortunately, there is an easier route to qualify the obscure columns resulting from a multitable SELECT statement.

    The columns can be qualified using a correlation name. A correlation appellation is a temporary alias for the tables referenced in an SQL statement. They rewrite the previous query using correlated names as follows:

    SELECT several fname,initial,lname,hphone FROM db2cert.test_taken tt, db2cert.candidate c WHERE YEAR(date_taken) = 2000 AND tt.cid = c.cid

    The correlation appellation immediately follows the appellation of the table as stated in the FROM clause. In this example, the correlated appellation for the TEST_TAKEN table is tt, and the correlated appellation for the CANDIDATE table is c.


    Correlation names can be optionally prefixed with the AS keyword, such as DB2CERT.CANDITATE AS C. This is purely for readability.

    The correlated names are accessible within the SQL statement only. Following the execution of the SQL statement, the correlation appellation is no longer defined. Once a correlation appellation has been defined, it can be referenced in the repose of the query instead of the table name. However, the table appellation can silent be referenced.


    Use simple, easy-to-remember correlation names. Table initials are agreeable candidates for correlation names.

    Sorting Your Output

    We own been retrieving data from one or more tables. The order of the result table has not been specified in any of the SQL statements. Therefore, the data is retrieved in an undetermined order if there is no ORDER BY clause in the SQL statement.


    The only guaranteed route to recrudesce data in the required sequence is with the ORDER BY clause. Any data retrieval that is currently returned in sequence without this clause is purely based upon the data retrieval mode at the time. A future access path change may not recrudesce the data in the identical sequence.

    The following sample produces a list of the test candidates in alphabetical order by last appellation for the candidates who own taken a DB2 Certification test at the TR01 test center.

    SELECT lname,initial,fname FROM db2cert.candidate c,db2cert.test_taken tt WHERE c.cid=tt.cid AND tcid='TR01' ORDER BY lname

    This sample contains a original clause, ORDER BY. After the ORDER BY clause, you can list the columns that will specify the sort order and the kind of sort.


    Appropriate indexing may allow DB2 to avoid sorting the data to match the ORDER BY clause. If the data is already sequenced via the index, DB2 may pick to utilize the index and avoid sorting the data. DB2 cannot avoid a sort for an ORDER BY involving columns from more than one table. Where possible, comprise columns from only one table in the ORDER BY to give DB2 greater occasion for sort avoidance.

    The SQL can be modified so that the output is changed to descending order by last appellation and a secondary order column on the first appellation in ascending order.

    SELECT lname,fname,hphone FROM db2cert.candidate c,db2cert.test_taken tt WHERE c.cid=tt.cid AND tcid= 'TR01' ORDER BY lname DESC, fname

    In this example, the DESC keyword that follows the lname column indicates that the result table should be in descending order based on the last name. More than one record can own the identical last name. This situation is quite common. There is a second column specified in the ORDER BY clause, fname. There is no keyword specifying the sort sequence based on the fname column. Therefore, the default ordering sequence (ascending) is used.

    The next sample contains three columns lname, fname, and hphone. You can reference the column that should be used to sort the data using the column appellation or by specifying its position in the select list. Using the column position is useful when the column in the select list is made up of derived columns (calculated columns) that own no explicit name.

    SELECT lname,fname,hphone FROM db2cert.candidate c,db2cert.test_taken tt WHERE c.cid=tt.cid AND tcid='TR01' ORDER BY 1 DESC, 2

    In this example, the sort order is specified using the column position. Therefore, the query result is exactly the identical as the in previous example.

    You can furthermore allot an alternative column appellation using column renaming. The assigned appellation can then be referenced in the ORDER BY clause, and it appears as the column heading where appropriate.


    Although useful, coding a column position rather than a column (or renamed column) in the ORDER BY clause may lead to a different sequence if another column is inadvertently added to the query that alters the column positioning.

    The ORDER BY clause must succeed sum subselects in the FULLSELECT statement. The only clauses that can succeed the ORDER BY clause are the for FOR FETCH ONLY, FOR READ ONLY, OPTIMIZE, WITH QUERYNO, FETCH FIRST n ROWS clauses.

    Derived Columns

    There are some cases when you will necessity to perform calculations on the data. The SQL language has some basic mathematical and string functions built in. Mathematical operations comprise measure addition, subtraction, multiplication, and division.

    The calculation can be defined in the WHERE clause of the SQL statement or the select list. Suppose that you necessity to reckon a passing rate for a DB2 test. The passing rate is defined as the percentage of candidates that pass the test (totalpassed*100/totaltaken). The following SQL statement will accomplish this for us for test number 500:

    SELECT number, totalpassed*100/totaltaken FROM test WHERE number='500'

    In this example, the second column of the output list is a calculated column. remember that you must exercise the column position if you want to exercise this calculated column for the ORDER BY clause unless you appellation it (as they now discuss).


    Occasionally, the results of a derived column may not panoply as expected. The sample using totalpassed*100/totaltaken will result in a value of 66 being retrieved. Since both the totalpassed and totaltaken columns are integers, the final result is furthermore an integer, and the fractional portion is discarded. If this is not your desired result, you should exercise other functions (like decimal) to change the route the calculation is performed or displayed.

    Naming Derived/Calculated Columns

    You can specify a column appellation for any expression. When you provide the derived (calculated) column with a name, the ORDER BY clause can reference the derived appellation to allow for a more readable SQL statement.

    The following SQL calculates the percentage of people that own passed the DB2 Certification exams and orders the output in descending order of the passing rate.

    SELECT number,totalpassed*100/totaltaken AS PassedRate FROM test ORDER BY PassedRate DESC

    The AS clause is used to rename the default appellation of an constituent in the select list. In this example, they are giving the appellation of PassedRate to the result of the division of columns totalpassed by totaltaken. The named column is used in the query to specify the column that should be used for sorting the output.


    The AS keyword is optional, although it should be added for readability. Without the AS clause, it may be unclear whether the expostulate was to rename a column or a comma was missed between two retrieved columns.


    In DB2, there are different types of functions provided. For example, two types of functions provided by DB2 are scalar and column functions (a third kind of function called a table function is discussed in Chapter 15, "Object Relational Programming."

  • Scalar functions (also known as row functions) provide a result for each row of the result table. A scalar function can be used any Place an expression is allowed.

  • Column functions (also known as vector functions) labor with a group of rows to provide a result. The group is specified using a FULLSELECT and optionally grouped using the GROUP BY clause.

  • In this section, they insert you to some of the SQL functions provided with DB2. SQL functions are categorized by their implementation type. Either the functions are built in or they are extensions of DB2 and are known as user-defined functions (UDFs).

  • Built-in functions are defined within the SQL standards, and they are provided by DB2. These can be either scalar or column functions.

  • UDFs are not defined within the SQL standards because they are extensions of the current SQL language. These functions can be developed by a DB2 administrator or application developer. UDFs can be either scalar or table functions, but not column functions. Once the UDFs own been created, they can be invoked by any finish user with the proper privileges. For more information about UDFs, advert to Chapter 15.

  • Scalar Functions

    Scalar functions are applied to each row of data, and there is a per-row result provided. If they want to retrieve only the first three digits of telephone numbers for each candidate, they could exercise a scalar function. The function that is used is called SUBSTR. The arguments for this function comprise a string data kind column, a nascence offset, and length. The output data kind and impute of the function depend on the input data kind and attribute. The following sample retrieves the telephone belt code for the column wphone.

    SELECT lname, SUBSTR(CHAR(wphone),1,3) FROM db2cert.candidate

    The SUBSTR function is a scalar function. In this example, SUBSTR returns a character string of three characters. The result string corresponds to the first three characters of the wphone column. This function is known as a string function because it works with any string data type. If they wanted to provide the output column with a meaningful name, they could provide an alias, as was done for calculated columns.

    In the sample above, the substring starts from the nascence of the string, because they testify one (1) as the second parameter of the function. The length of the resulting string is indicated in the third argument. In their example, the length is three. Note that the data kind of the wphone column is phone, so a casting function is used to transfigure the phone data kind to the char data type.

    The following query will provide the month when the exam was taken. The input for this function is a DATE string, and the output is an integer.

    SELECT fname, MONTH (date_taken) FROM candidate c, test_taken tt WHERE c.cid=tt.cid Column Functions

    Column functions provide a unique result for a group of qualifying rows for a specified table or view. Many common queries can be satisfied using column functions where they comprise common tasks, such as finding the smallest value, the largest value, or the tolerable value for a group of data records. In the following sample you can obtain the maximum length of time of any of the DB2 Certification exams:

    SELECT MAX("length") FROM test

    Because the length column shares its appellation with the length scalar function, the column appellation is encased within double-quotes to distinguish this as a column and not a function.

    If they added a WHERE clause to this example, the maximum would portray the maximum length for the qualifying rows, since the predicate is used to filter the data prior to the application of the MAX function.

    This next sample calculates the tolerable of the number of seats for sum of the test centers. Notice the column function AVG is used in this example:

    SELECT AVG(noseats) FROM test_center

    DB2 provides many more built-in functions. If you are interested in calculating statistical information, you can exercise statistical functions, such as VARIANCE, STDDEV, or a sampling of these functions.


    MAX and MIN functions can be either column or scalar functions depending on the input arguments.

    Grouping Values

    Many queries require some flat of aggregated data. This is accomplished in SQL through the exercise of the GROUP BY clause. The following SQL obtains the tolerable number of seats for each country:

    SELECT country, AVG(noseats) FROM test_center GROUP BY country

    This SQL statement obtains the tolerable number of seats per country, and the GROUP BY clause tells DB2 to group together the rows that own the identical values in the columns indicated in the GROUP BY list. In their example, they are grouping countries into subsets. As the subsets are created, DB2 calculates the tolerable of each of those groups or subsets, in this case, by each country.

    When you combine column functions and other elements, such as column names, scalar functions, or calculated columns, you must exercise the GROUP BY clause. In this case, you must comprise every constituent that is not a column function in the GROUP BY list. The only elements that can be omitted in the GROUP BY list are constant values.

    The next SQL statement obtains a list that includes the tolerable sever score and minimum test length for the DB2 Certification exams. They group this list by the kind of exam, as follows:

    SELECT type, AVG(cut_score), MIN("length") FROM test GROUP BY type


    Appropriate indexing can allow DB2 to avoid a sort to group the data rows to match the GROUP BY clause.

    It is workable to sort the output of the previous sample using an ORDER BY clause.


    GROUP BY may recrudesce data in the identical order as an ORDER BY, but this is not guaranteed and is based upon the access path. The only mode to guarantee data sequence is with an ORDER BY.

    Restricting the exercise of Sets of Data

    Up to now, they own discussed how to restrict output based on row conditions. With SQL, it is furthermore workable to restrict that output using column functions and the GROUP BY clause. Suppose you want a list of sum the test centers that own administered more than five DB2 Certification exams. To construct it easier to understand, let's first acquire the number of tests that own been taken in each test center.

    SELECT tcid, count(*) FROM test_taken GROUP BY tcid

    We exercise the signify column function to acquire the total number of tests that own been taken in each test center. When you exercise an asterisk (*) with the signify function, you are indicating that you want the number of rows in a table that meet the criteria established in the SQL statement. In this example, they are grouping by TCID because they own a number of occurrences for sum the test centers in the TEST_TAKEN table. The TEST_TAKEN table has an entry for every DB2 Certification exam that has been taken. Finally, the output is restricted to only those test centers that own administered more than four exams.

    SELECT tcid FROM test_taken GROUP BY tcid HAVING COUNT(*) > 4

    This sample introduces the HAVING clause. The HAVING clause is equivalent to the WHERE clause for groups and column functions. The HAVING clause will restrict the result set to only the groups that meet the condition specified in it. In their example, only the test centers that own administered more than four DB2 Certification exams will be displayed.

    Eliminating Duplicates

    When you execute a query, you might acquire duplicate rows in the retort set. The SQL language provides a special clause to remove the duplicate rows from your output. The following SQL generates a list of names and phone numbers for sum the candidates who own taken a test. In the following example, they purge the duplicate rows from their output list using the several clause.

    SELECT several fname,wphone,hphone FROM candidate c,test_taken tt WHERE c.cid=tt.cid

    The several clause can furthermore be used with the signify function. When you exercise several inside a signify function, it will not signify the duplicate entries for a particular column. The following sample allows you to signify how many different test centers own candidates registered.

    SELECT COUNT(DISTINCT tcid) FROM test_taken

    This sample provides the number of test centers that are registered in the TEST_TAKEN table. remember that sum the candidates who own registered for DB2 Certification exams are stored in this table. construct confident that you understand the contrast between COUNT(*), COUNT(colname), and COUNT(DISTINCT colname). They are very similar in syntax but vary in function.


    COUNT(*) returns a signify of sum rows that qualify against the WHERE clause. COUNT(colname) returns a signify of sum rows that qualify against the WHERE clause, with null occurrences of colname removed. COUNT(DISTINCT colname) counts several occurrences of colname, with nulls removed.

    Searching for String Patterns

    SQL has a powerful predicate that allows you to search for patterns in character string columns. This is the dote predicate. Suppose you want to generate a list of the candidates whose first appellation starts with the letter G.

    SELECT fname,lname,wphone,hphone FROM candidate WHERE fname dote 'G%' ORDER BY lname,fname

    In this query, they exercise a wildcard character with the dote predicate. In SQL, the percent character (%) is a substitute for zero or more characters. The search string G% can be substituted with names dote George, Gary, Ginger, and so on (since the percent character can substitute zero or more characters, the search string can furthermore be a unique letter G).

    The percent character can be used any Place in the search string. It furthermore can be used as many times as you necessity it. The percent badge is not case-sensitive, so it can grasp the Place of uppercase or lowercase letters. However, the constant characters included in your search string are case-sensitive.

    Another wildcard character used with the dote predicate is the underline character (_). This character substitutes one and only one character. The underline character can grasp the Place of any character. However, the underline character cannot be substituted for an vacuous character.


    If the pattern needs to search for occurrences of the wildcard characters % and _ as their actual values, then the shun clause is used to specify a character that precedes the percent or underscore in the pattern.

    The previous SQL can be modified to comprise sum candidates' names and the telephone numbers for those candidates whose appellation has a lowercase letter "a" as its second letter.

    SELECT fname,lname,wphone,hphone FROM candidate WHERE fname dote '_a%' ORDER BY lname,fname

    This sample uses two wildcard characters that labor with the dote predicate. The search string in this sample can comprise names, such as Paul, Gabriel, or Natalie. (The first character may be any character, the lowercase letter "a" is the second character in the string, and the string ends with any number of characters.)


    When the pattern in a dote predicate is a fixed-length host variable, the redress length must be specified for the string to be returned. 'G%' assigned to an 8-byte variable (LIKE :variable) will search for sum occurrences of 'G% ' (G, followed by any character, followed by 6 blank characters). To find rows that start with a G, then 'G%%%%%%%' should be assigned to the fixed-length variable.

    Searching for Data in Ranges

    SQL furthermore offers us a ambit operator. This operator is used to restrict rows that are in a particular ambit of values. reckon the requirement to list those candidates whose scores in the DB2 Certification exam are between 60 and 75.

    SELECT several fname,lname,wphone,hphone FROM candidate c, test_taken tt WHERE c.cid=tt.cid AND score BETWEEN 60 AND 75

    The BETWEEN predicate includes the values that you specify for searching your data. An requisite fact about the BETWEEN predicate is that it can labor with character ranges as well.

    In addition to the score requirement, this sample modifies the SQL to comprise only those candidates whose last appellation begins with a letter between B and G.

    SELECT several fname,lname,wphone,hphone FROM candidate c, test_taken tt WHERE c.cid=tt.cid AND score BETWEEN 60 AND 75 AND lname BETWEEN 'B' AND 'GZ'

    In this example, the second BETWEEN predicate contains character values. They necessity to specify the GZ value to comprise sum the workable names that start with the letter G. This was done assuming that the letter Z is the last workable value in the alphabet.


    The arguments of the BETWEEN clause are not interchangeable; the first must specify the low value, and the second, the lofty value. BETWEEN 1 AND 2 will recrudesce sum values within the ambit (inclusive of 1 and 2). BETWEEN 2 AND 1 will recrudesce zero rows.

    Searching for Null Values

    Null values portray an unknown value for a particular episode of an entity. They can exercise a null value in the cases where they don't know a particular value of a column. Let's thunder that they want a list of sum those candidates whose score is not yet input. This condition is represented with a null value.

    SELECT fname,lname,wphone,hphone FROM candidate c, test_taken tt WHERE c.cid=tt.cid AND score IS NULL

    The IS predicate is used to search for the null value in this example. remember that the null value means "unknown." Because it has no particular value, it can't be compared with other values. You can't exercise conditional operands, such as equal (=) or greater than (>), with null values.

    Searching for Negative Conditions

    The BETWEEN, IS, and dote predicates always perceive for the values that meet a particular condition. These predicates can furthermore be used to perceive for values that don't meet a particular criterion.

    The NOT predicate can be used to perceive for the contrary condition, combined with the LIKE, BETWEEN, and IS predicate, to accomplish negative searches, as shown in the following example. This sample has a dote predicate combined with the NOT predicate. They want a list of those candidates whose last names achieve not start with the letter S.

    SELECT several fname,lname,wphone,hphone FROM candidate WHERE lname NOT dote 'S%' ORDER BY lname,fname

    The next sample has a BETWEEN predicate combined with the NOT predicate. They want the list of those candidates whose score, in any test, is not in the ambit 60 to 75.

    SELECT several fname,lname,wphone,hphone FROM candidate c, test_taken tt WHERE c.cid=tt.cid AND integer(score) NOT BETWEEN 60 and 75

    In this example, the NOT predicate will exclude sum the values that are in the ambit 60 to 75.

    Negation can furthermore be applied to the null value. This SQL produces a report that searches for those candidates that own a seat number assigned. This is expressed with a NOT NULL value.

    SELECT several fname,lname,wphone,hphone FROM candidate c, test_taken tt WHERE c.cid=tt.cid AND seat_no IS NOT NULL


    The NOT operator can furthermore be used to negate the measure comparison operators, =, <, <=, >, and >=.

    When dealing with nulls, NOT or negation may not recrudesce the contrary of the positive logic. For example, WHERE SEAT_NO = 1 will recrudesce only the rows for seat number 1. Any value other than 1 is discarded, as these rows are FALSE, including nulls, since these are unknown. WHERE SEAT_NO <> 1 excludes rows where the seat number is 1, and furthermore discards nulls because these are unknown.

    Searching for a Set of Values

    In SQL, it is workable to establish a restriction condition based on a set of values. Suppose that you necessity a list of the test centers that own candidates registered for the DB2 Fundamentals test and for the DB2 Application development test. This can be queried with the following statement:

    SELECT several name,phone FROM test_center tc, test_taken tt WHERE tc.tcid=tt.tcid AND (number = '500' or number ='502')

    To simplify structure multiple OR conditions when multiple values for the identical column are being compared, it is workable to rewrite the statement using the IN clause.

    SELECT several name,phone FROM test_center tc, test_taken tt WHERE tc.tcid=tt.tcid AND number IN ('500','502')

    The IN clause is used to denote a set of values. In this example, they exercise a constant set of values.

    You can furthermore exercise the NOT predicate with the IN clause. In this case, the condition will be apt when a value is not present in the set of values provided to the IN clause. You can exercise as many values as you wish in the IN clause, within the defined limits of the size of a SQL statement.

    Advanced Selection Functionality

    In Chapter 4, "Advanced SQL Coding," they will perceive at more of the functionality and power of the SELECT statement. They will cover topics such as

  • Subqueries
  • Inner and outer joins
  • Nested table expressions
  • CASE expressions
  • Row expressions
  • Unions

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    No result found, try original keyword!Across their segments, their strategic imperatives revenue for the year was up 9% to about $40 billion ... they had broad-based growth across their Db2 portfolio including analytics appliances, and ...

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