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You can attach to a running job by using the ATTACH command as just shown, or by simply using the Ctrl+C (^C) sequence on the server where the job is actually running When you use the Ctrl+C sequence, you get the interactive export prompt (export>), indicating that Data Pump is awaiting your interactive commands Here s an example: Starting "SYSTEM""SYS_EXPORT_SCHEMA_01": system/******** Estimate in progress using BLOCKS method (You stop the export job by using the ^C sequence) export> Note that when you use the ATTACH command or the Ctrl+C sequence to interactively attach to a job, you don t stop the running job itself The commands will merely stop the display of the job messages on the screen and present you with the prompt (export>) From the interactive prompt, you can use several options to influence the progress of the currently executing Data Pump job.

You may intervene during a running export or import job, not only when you issue the ATTACH command or Ctrl+C sequence, but also when the jobs temporarily fail For example, your export job may run out of dump file space, as shown by the following set of entries in your export log file: Processing object type SCHEMA_EXPORT/TABLE/COMMENT Processing object type SCHEMA_EXPORT/VIEW/VIEW Processing object type SCHEMA_EXPORT/TABLE/CONSTRAINT/REF_CONSTRAINT ORA-39095: Dump file space has been exhausted: Unable to allocate 524288 bytes Job "SYSTEM""SYS_EXPORT_SCHEMA_01" stopped due to fatal error at 18:40 One option is to end this idle export job with the following interactive command: export> KILL_JOB More likely, you would want the job to resume by adding more space to your directory Here s how you can use the ADD_FILE command to add files to your export directory: export> ADD_FILE=data_dump_dir:expdat02.

The second type of attribute filter puts the attribute extraction burden on the notification service, based on the event s content, history, traffic patterns, or other If the attributes are based on keywords found in the content, the notification service must parse the content of every notification, which is computationally expensive An even worse situation occurs when the attributes are based on event history or event patterns Consider a stock exchange notification service that sends out real-time stock transactions If a subscriber wants to be informed when the volume of a certain stock exceeds a certain value, an attribute-based subscription would be necessary But to support the subscription, the notification service might need to parse every stock transaction, identifying the stock type and the number of shares involved.

dmp Once you finish adding space to the export directory, you use the interactive command START_JOB to continue the stopped export job, as shown here: export> START_JOB.

To resume the logging of the output on your screen, you issue the CONTINUE_CLIENT command, as shown here: export> CONTINUE_CLIENT Job SYS_EXPORT_SCHEMA_01 has been reopened at Sunday, 20 March, 2005 19:15 Restarting "SYSTEM"."SYS_EXPORT_SCHEMA_01": system/******** parfile=test_export.par . . . In a Data Pump Import job, your space-related problems are most likely to be caused by running out of room in the tablespaces that contain the tables into which you are importing. In such a case, the import job will stop in the middle. You can add space to the relevant tablespaces, and then use the ATTACH command to attach to the held-up job, followed by the START_JOB and CONTINUE_CLIENT commands as shown in the preceding example.

You must be a DBA, or have the EXP_FULL_DATABASE or IMP_FULL_DATABASE role, in order to attach and control Data Pump jobs of other users.

The service would also need to maintain internal state information to keep track of the total volume of shares handled of a given stock Only when the volume hit the threshold set by the subscriber would a notification be sent Clearly, such a system would be inefficient, expensive, and difficult to scale Attribute-filtering performance can be very good when the attributes are clearly defined in a content header Such attribute-based filtering can have good enough performance to be used in embedded systems32 As an example of attribute filtering, consider a news server that receives stories classified by headline, date, author name, country, and name of the originating newswire service The system s attribute space would have the dimensions {headline, date, author, country, wireService}.