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Record 1: Discarded - failed all WHEN clauses. Record 1527: Discarded - failed all WHEN clauses. Table TBLSTAGE1: /*Number of Rows: Gives the number of rows successfully loaded and the number of rows not loaded due to errors or because they failed the WHEN conditions, if any. Here, two records failed the WHEN condition*/ 1525 Rows successfully loaded. 0 Rows not loaded due to data errors. 2 Rows not loaded because all WHEN clauses were failed. 0 Rows not loaded because all fields were null. /* Memory Section: Gives the bind array size chosen for the data load*/ Space allocated for bind array: 99072 bytes(64 rows) Read buffer bytes: 1048576 /* Logical Records Section: Gives the total records, number of rejected and discarded records.*/ Total logical records skipped: 0 Total logical records read: 1527 Total logical records rejected: 0 Total logical records discarded: 2 /*Date Section: Gives the day and date of the data load.*/ Run began on Sun Mar 06 14:04:26 2009 Run ended on Sun Mar 06 14:04:27 2009 /*Time section: Gives the time taken for completing the data load.*/ Elapsed time was: 00:00:01.01 CPU time was: 00:00:00.27 When you examine the log file, focus on the total logical records read and the records that are skipped, rejected, and discarded. When you encounter difficulty running a job, the log file is the first place you should look to see whether or not the data records are being loaded.

That INSERT statement should be Insert into t ( date_column ) values ( to_date( '01/02/03', 'DD/MM/YY' ) ); And if you want my opinion, it has to be Insert into t ( date_column ) values ( to_date( '01/02/2003', 'DD/MM/YYYY' ) ); That is, it must use a four-character year Not too long ago, our industry learned the hard way how much time and effort was spent remedying software that attempted to save 2 bytes we seem to have lost that lesson over time There is no excuse in the year 2005 and beyond not to use a four-character year! This same discussion applies to data leaving the database If you execute SELECT DATE_ COLUMN FROM T and fetch that column into a string in your application, then you should apply an explicit date format to it Whatever format your application is expecting should be explicitly applied there.

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The log file provides a wealth of information about the load, but Oracle also allows you to trap the exit code after each load run. This enables you to check the results of the load when you run it through a cron job or a shell script. For a Windows server, you may use the at command to schedule the load job. Here are the key exit codes for the UNIX/Linux operating systems: EX_SUCC 0 indicates that all the rows were loaded successfully. EX_FAIL 1 indicates that there were command-line or syntax errors. EX_WARN 2 indicates that some or all rows were rejected. EX_FTL 3 indicates operating system errors.

You will notice that the Jnnn processes come and go over time That is, if you configure up to 1,000 of them, you will not see 1,000 of them start up with the database Rather, a sole process, the Job Queue Coordinator (CJQ0) will start up, and as it sees jobs that need to be run in the job queue table, it will start the Jnnn processes As the Jnnn processes complete their work and discover no new jobs to process, they will start to exit, to go away So, if you schedule most of your jobs to run at 2:00 AM when no one is around, you might well never actually see these Jnnn processes..

So far, you have looked at the SQL*Loader utility from the point of view of a conventional load. As you recall, the conventional loading method uses SQL INSERT statements to insert data into tables one bind array size at a time. The direct-path loading option doesn t use the SQL INSERT statement to put data into tables; rather, it formats Oracle data blocks and writes them directly to the database files. This direct-write process eliminates much of the overhead involved in executing SQL statements

Otherwise, at some point in the future when someone changes the default date format, your application may break or behave incorrectly Next, let s look at the datatypes themselves in more detail..

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