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DUMP(TS) ------------------------------------------------------------------------------DUMP(TS_TZ) ------------------------------------------------------------------------------Typ=180 Len=11: 120,105,6,28,14,46,9,5,57,20,248 Typ=181 Len=13: 120,105,6,28,18,46,9,5,57,20,248,16,60 As you can see, upon retrieval the default TIMESTAMP format included the time zone information (I was on East Coast US time during daylight saving time when this was executed) TIMESTAMP WITH TIME ZONEs store the data in whatever time zone was specified when the data was stored The time zone becomes part of the data itself Note how the TIMESTAMP WITH TIME ZONE field stored ..18,46,9.. for the hour, minutes, and seconds (in excess-1 notation, so that is 17:45:08), whereas the TIMESTAMP field stored simply ..14,46,9.., which is 13:45:09 the exact time in the string we inserted The TIMESTAMP WITH TIME ZONE had four hours added to it, in order to store in GMT (also known as UTC) time The trailing 2 bytes are used upon retrieval to properly adjust the TIMESTAMP value.

And now we can execute the query and fetch the row. Using DBMS_SQL.COLUMN_VALUE_LONG, we extract the necessary substring of the LONG and return it: 60 61 62 dbms_sql.define_column_long(g_cursor, 1); if (dbms_sql.execute_and_fetch(g_cursor)>0) then

There are several restrictions on the use of parallel DML. For example, you can t use parallel DML on a table that has triggers. Refer to Oracle s documentation for more information about conditions that may preclude the use of the parallel DML feature.

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It s common to use SQL statements to perform various kinds of data transformations. You can transform data by using simple UPDATE statements, although they could take a considerable time to execute in large tables. For smaller transactions in OLTP databases, the UPDATE statement is adequate when you need to transform data in a column based on some criteria. In the following sections, you ll explore some of the other common ways of using SQL to transform your data before loading: the MERGE statement, multitable inserts, and table functions.

63 dbms_sql.column_value_long 64 (g_cursor, 1, p_for, p_from-1, 65 l_buffer, l_buffer_len ); 66 end if; 67 return l_buffer; 68 end substr_of; 69 70 end; 71 / Package body created. That s it you should be able to use that package against any legacy LONG column in your database, allowing you to perform many WHERE clause operations that were not possible before. For example, you can now find all partitions in your schema such that the HIGH_VALUE has the year 2003 in it (please remember that if you do not have any tables with 2003 in the partition high value, you would not expect to see anything returned!): ops$tkyte@ORA11GR2> select * 2 from ( 3 select table_owner, table_name, partition_name, 4 long_help.substr_of 5 ( 'select high_value 6 from all_tab_partitions 7 where table_owner = :o 8 and table_name = :n 9 and partition_name = :p', 10 1, 4000, 11 'o', table_owner, 12 'n', table_name, 13 'p', partition_name ) high_value 14 from all_tab_partitions 15 where table_name = 'T' 16 and table_owner = user 17 ) 18 where high_value like '%2003%' 19 / TABLE_OWN TABLE PARTIT HIGH_VALUE --------- ----- ------ -----------------------------OPS$TKYTE T PART1 TO_DATE(' 2003-03-13 00:00:00' , 'SYYYY-MM-DD HH24:MI:SS', 'N LS_CALENDAR=GREGORIAN') OPS$TKYTE T PART2 TO_DATE(' 2003-03-14 00:00:00' , 'SYYYY-MM-DD HH24:MI:SS', 'N LS_CALENDAR=GREGORIAN')

It is not my intention to cover all of the nuances of time zones here in this book; that is a topic well covered elsewhere To that end, I ll just point out that time zone support is more relevant in applications today than ever before A decade ago, applications were not nearly as global as they are now In the days before widespread Internet use, applications were many times distributed and decentralized, and the time zone was implicitly based on where the server was located Today, with large centralized systems being used by people worldwide, the need to track and use time zones is very relevant.

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