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It is common for Oracle users to process data using third-party tools, since Oracle SQL has traditionally lacked sophisticated modeling capabilities to produce complex reports. A basic example is the use of spreadsheets, which apply formulas to transform data into new forms. In previous versions of Oracle, in order to produce these spreadsheet-like reports, you needed to either download data into spreadsheet programs like Microsoft Excel or use dedicated multidimensional online analytical processing (OLAP) servers such as Oracle Express. For example, you might use Excel to convert your business data into rule-based business models, with the help of various macros. But third-party spreadsheet tools are cumbersome to use, and you need to expend considerable effort and time to constantly import updated Oracle data into the spreadsheet programs. Oracle professionals commonly make heavy use of multiple table joins and unions when dealing with complex data warehousing. These techniques help you perform very complex computations, but they are usually slow and computationally expensive. Oracle offers the powerful MODEL clause, which allows you to use SQL statements to categorize data and apply sophisticated formulas to produce fancy reports directly from within the database itself. You can now produce highly useful Oracle analytical queries, overcoming several drawbacks of Oracle SQL. With the new MODEL clause, you can use normal SQL statements to create multidimensional arrays and conduct complex interrow and interarray calculations on the array cells. The MODEL clause provides interrow calculation functionality by enabling you to create multidimensional arrays of your query data and letting you randomly access the cells within the arrays. The way the MODEL clause addresses individual cells is called symbolic cell addressing. The MODEL clause also performs symbolic array computation, by transforming the individual cells using formulas, which it calls rules.

The syntax for a LOB is, on the face of it, very simple deceptively simple. You may create tables with column datatypes of CLOB, BLOB, or NCLOB, and that is it. They are as simple to use as the NUMBER, DATE, or VARCHAR2 type: ops$tkyte@ORA10G> create table t 2 ( id int primary key, 3 txt clob 4 ) 5 / Table created. Or are they That small example shows the tip of the iceberg the bare minimum you can specify about a LOB. Using DBMS_METADATA, we can get the entire picture: ops$tkyte@ORA10G> select dbms_metadata.get_ddl( 'TABLE', 'T' ) 2 from dual; DBMS_METADATA.GET_DDL('TABLE','T') ------------------------------------------------------------------------------CREATE TABLE "OPS$TKYTE"."T" ( "ID" NUMBER(*,0), "TXT" CLOB, PRIMARY KEY ("ID") USING INDEX PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT) TABLESPACE "USERS" ENABLE ) PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT) TABLESPACE "USERS" LOB ("TXT") STORE AS ( TABLESPACE "USERS" ENABLE STORAGE IN ROW CHUNK 8192 PCTVERSION 10 NOCACHE STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT)) The LOB apparently has the following attributes: A tablespace (USERS in this example) ENABLE STORAGE IN ROW as a default attribute

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Another frequently asked question is, How do I retrieve the difference between two dates The answer is deceptively simple: you just subtract them This will return a number representing the number of days between the two dates Additionally, you have the built-in function MONTHS_BETWEEN that will return a number representing the number of months including fractional months between two dates Lastly, with the INTERVAL types, you have yet another method to see the elapsed time between two dates The following SQL query demonstrates the outcome of subtracting two dates (showing the number of days between them), using the MONTHS_BETWEEN function and then the two functions used with INTERVAL types: ops$tkyte%ORA11GR2> select dt2-dt1 , 2 months_between(dt2,dt1) months_btwn, 3 numtodsinterval(dt2-dt1,'day') days, 4 numtoyminterval(trunc(months_between(dt2,dt1)),'month') months 5 from (select to_date('29-feb-2000 01:02:03','dd-mon-yyyy hh24:mi:ss') dt1, 6 to_date('15-mar-2001 11:22:33','dd-mon-yyyy hh24:mi:ss') dt2 7 from dual ) 8 / DT2-DT1 MONTHS_BTWN DAYS MONTHS ---------- ----------- ------------------------------ ------------380430903 12.

The MODEL clause enables you to apply business models to your existing data. When you use the MODEL clause as part of a query, Oracle feeds the data retrieved by the query to the MODEL clause. The MODEL clause rearranges the data into a multidimensional array and applies your business rules to the individual elements of the array. From the application of various user-specified business rules, Oracle derives updated as well as newly created data. However, you won t actually see an array as your final form of the output, since Oracle will format the new and updated data into a row format when it delivers the MODEL clause s output to you. The first step in a MODEL-based query is the creation of the multidimensional array. The following section explains the basis of the arrays created by the MODEL clause.

5622872 +000000380 10:20:30000000000 +000000001-00 Those are all correct values, but not of great use to us yet Most applications would like to display the years, months, days, hours, minutes, and seconds between the dates Using a combination of the preceding functions, we can achieve that goal We ll select out two intervals: one for the years and months, and the other for just the day, hours, and so on We ll use the MONTHS_BETWEEN built-in function to determine the decimal number of months between the two dates, and then we ll use the NUMTOYMINTERVAL built-in function to convert that number into the years and months.

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