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I dbms_lob.trim(locator1, length). Trims the LOB identified by the locator to the indicated number of bytes/characters. I dbms_lob.substr(locator, length, offset). Returns (as a text string return value) the indicated number of bytes/characters from the LOB identified by the locator, starting at the offset; the return value from this function may be assigned into a PL/SQL VARCHAR variable. I dbms_lob.getlength(locator). Returns (as an integer value) the length in bytes/characters of the LOB identified by the locator. I dbms_lob.compare(locator1, locator2, length, offset1, offset2). Compares the LOB identified by locator1 to the LOB identified by locator2, starting at offset1 and offset2, respectively, for length bytes/characters; returns zero if they are the same and nonzero if they are not. I dbms_lob.instr(locator, pattern, offset, i). Returns (as an integer value) the position within the LOB identified by the locator where the i-th occurrence of pattern is matched; the returned value may be used as an offset in subsequent LOB processing calls. Oracle imposes one further restriction on updates and modifications to LOB values that are performed through these functions. LOBs can impose an unacceptably high overhead on Oracle s transaction mechanisms, so Oracle normally does not lock the contents of a LOB data item when the row containing the LOB is read by an application program or a PL/SQL routine. If the LOB data is to be updated, the row must be explicitly locked prior to modifying it. This is done by including a FOR UPDATE clause in the SELECT statement that retrieves the LOB locator. Here is a PL/SQL fragment that retrieves a row containing a LOB that contains document text, and updates 100 characters in the middle of the LOB data:
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declare lob CLOB; textbuf varchar(255); begin /* Put text to be inserted into buffer / . . . /* Get select from where for lob locator and lock LOB for update */ document_lob into lob documents document_id = '34218' update;
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/* Write new text 500 bytes into LOB */
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dbms_lob.write(lob,100,500,textbuf); commit; end;
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The data types envisioned by the relational data model are simple, indivisible, atomic data values. If a data item such as an address is actually composed of a street address, city, state, and postal code, as a database designer, you have two choices. You can treat the address as four separate data items, each stored in its own column, so that you can search and retrieve the items individually. Or you can treat the address as a single unit, in which case, you cannot process its individual component parts within the database. There is no middle ground that allows you to treat the address as a unit for certain situations and access its component parts for others. Many programming languages (including even nonobject-oriented languages like C or Pascal) do provide such a middle ground. They support compound data types or named data structures. The data structure is composed of individual data items or lower-level structures, which can be accessed individually. But the entire data structure can also be treated as a single unit when that is most convenient. Structured or composite data types in object-relational databases provide this same capability in a DBMS context. Informix Universal Server supports abstract data types through its concept of row data types. You can think of a row type as a structured sequence of individual data items, called fields. Here is an Informix CREATE TABLE statement for a simple PERSONNEL table that uses a row data type to store both name and address information:
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CREATE TABLE EMPL_NUM NAME F_NAME M_INIT L_NAME ADDRESS STREET CITY STATE POSTCODE MAIN SFX PERSONNEL ( INTEGER, ROW( VARCHAR(15), CHAR(1), VARCHAR(20)) ROW( VARCHAR(35), VARCHAR(15), CHAR(2), ROW( INTEGER, INTEGER)));
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This table has three columns. The first one, EMPL_NUM, has an integer data type. The last two, NAME and ADDR, have a row data type, indicated by the keyword ROW, followed by a parenthesized list of the fields that make up the row. The NAME column s
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