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DT2-DT1 --------------------------------------------------------------------------+000000380 10:20:29.878000000 The difference between two TIMESTAMP values is an INTERVAL, and this shows us the number of days and hours/minutes/seconds between the two. If we desire to have the years, months, and so forth, we are back to using a query similar to the one we used with dates: ops$tkyte%ORA11GR2> select numtoyminterval 2 (trunc(months_between(dt2,dt1)),'month') 3 years_months, 4 dt2-add_months(dt1,trunc(months_between(dt2,dt1))) 5 days_hours 6 from (select to_timestamp('29-feb-2000 01:02:03.122000', 7 'dd-mon-yyyy hh24:mi:ss.ff') dt1, 8 to_timestamp('15-mar-2001 11:22:33.000000', 9 'dd-mon-yyyy hh24:mi:ss.ff') dt2 10 from dual ) 11 / YEARS_MONTHS DAYS_HOURS ------------- ----------------------------+000000001-00 +000000015 10:20:30.000000000 Note in this case, since we used ADD_MONTHS, DT1 was converted implicitly into a DATE type and we lost the fractional seconds. We would have to add yet more code to preserve them. We could use

In addition to expdp and impdp, you can have other clients perform Data Pump export and import by using the Data Pump API. The database uses the Oracle-supplied package DBMS_DATA PUMP to implement the API, through which you can programmatically access the Data Pump Export and Import utilities. This means that you can create powerful custom data-movement utilities using the Data Pump technology. The traditional export utility is a normal user process that writes data to its local disks. The old export utility fetches this data from a server process as part of a regular session. In contrast, the Data Pump expdp user process launches a server-side process that writes data to disks on the server node, and this process runs independent of the session established by the expdp client.

Elapsed times include waiting on following events: Event waited on Times ---------------------------------------Waited direct path read 48592

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NUMTOYMINTERVAL to add the months and preserve the TIMESTAMP; however, we would be subject to runtime errors: ops$tkyte%ORA11GR2> select numtoyminterval 2 (trunc(months_between(dt2,dt1)),'month') 3 years_months, 4 dt2-(dt1 + numtoyminterval( trunc(months_between(dt2,dt1)),'month' )) 5 days_hours 6 from (select to_timestamp('29-feb-2000 01:02:03.122000', 7 'dd-mon-yyyy hh24:mi:ss.ff') dt1, 8 to_timestamp('15-mar-2001 11:22:33.000000', 9 'dd-mon-yyyy hh24:mi:ss.ff') dt2 10 from dual ) 11 / dt2-(dt1 + numtoyminterval( trunc(months_between(dt2,dt1)),'month' )) * ERROR at line 4: ORA-01839: date not valid for month specified I personally find this unacceptable. The fact is, though, that by the time you are displaying information with years and months, the fidelity of the TIMESTAMP is destroyed already. A year is not fixed in duration (it may be 365 or 366 days in length) and neither is a month. If you are displaying information with years and months, the loss of microseconds is not relevant; having the information displayed down to the second is more than sufficient at that point.

The older export/import technology was client-based. The Data Pump technology is purely serverbased. All dump, log, and other files are created on the server by default. Data Pump technology offers several benefits over the traditional export and import data utilities. The following are the main benefits of the Data Pump technology: Improved performance: The performance benefits are significant if you are transferring huge amounts of data. Ability to restart jobs: You can easily restart jobs that have stalled due to lack of space or have failed for other reasons. You may also manually stop and restart jobs. Parallel execution capabilities: By specifying a value for the PARALLEL parameter, you can choose the number of active execution threads for a Data Pump Export or Data Pump Import job.

Ability to attach to running jobs: You can attach to a running Data Pump job and interact with it from a different screen or location This enables you to monitor jobs, as well as to modify certain parameters interactively Data Pump is an integral part of the Oracle database server, and as such, it doesn t need a client to run once it starts a job Ability to estimate space requirements: You can easily estimate the space requirements for your export jobs by using the default BLOCKS method or the ESTIMATES method, before running an actual export job (see the Data Pump Export Parameters section later in this chapter for details) Network mode of operation: Once you create database links between two databases, you can perform exports from a remote database straight to a dump file set.

The TIMESTAMP WITH TIME ZONE type inherits all of the qualities of the TIMESTAMP type and adds time zone support. The TIMESTAMP WITH TIME ZONE type consumes 13 bytes of storage, with the extra two bytes being used to preserve the time zone information. It differs from a TIMESTAMP structurally only by the addition of these 2 bytes: ops$tkyte@ORA11GR2> create table t 2 ( 3 ts timestamp, 4 ts_tz timestamp with time zone 5 ) 6 / Table created. ops$tkyte@ORA11GR2> insert into t ( ts, ts_tz ) 2 values ( systimestamp, systimestamp ); 1 row created. ops$tkyte%ORA11GR2> select * from t; TS TS_TZ ---------------------------- ----------------------------------12-APR-10 07.09.52.502950 PM 12-APR-10 07.09.52.502950 PM -04:00 ops$tkyte%ORA11GR2> select dump(ts) dump, dump(ts_tz) dump from t;

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