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With those three situations in mind, in general I strongly recommend using external tables for their extended capabilities. SQLLDR is a fairly simple tool that generates an INSERT statement and loads data. Its ability to use SQL is limited to calling SQL functions on a row-by-row basis. External tables open up the entire SQL set of functionality to data loading. Some of the key functionality features that external tables have over SQLLDR in my experience are as follows: The ability to use complex WHERE conditions to selectively load data. SQLLDR has a WHEN clause to select rows to load, but you are limited to using only AND expressions and expressions using equality no ranges (greater than, less than), no OR expressions, no IS NULL, and so on. The ability to MERGE data. You can take an operating system file full of data and update existing database records from it. The ability to perform efficient code lookups. You can join an external table to other database tables as part of your load process. Easier multitable inserts using INSERT. Starting in Oracle9i, an INSERT statement can insert into one or more tables using complex WHEN conditions. While SQLLDR can load into multiple tables, it can be quite complex to formulate the syntax. A shallower learning curve for new developers. SQLLDR is yet another tool to learn, in addition to the programming language, the development tools, the SQL language, and so on. As long as a developer knows SQL, he can immediately apply that knowledge to bulk data loading, without having to learn a new tool (SQLLDR). So, with that in mind, let s look at how to use external tables.

FINDING 3: 23% impact (160643 seconds) The buffer cache was undersized causing significant additional read I/O RECOMMENDATION 1: DB Configuration, 23% benefit (160643 seconds) ACTION: Increase SGA target size by increasing the value of parameter "sga_target" by 2128 M SYMPTOMS THAT LED TO THE FINDING: Wait class "User I/O" was consuming significant database time FINDING 4: 16% impact (134639 seconds) SQL statements consuming significant database time were found RECOMMENDATION 1: SQL Tuning, 49% benefit (41134 seconds) ACTION: Run SQL Tuning Advisor on the SQL statement with SQL_ID "dvycj85pfmb1b" FINDING 5: 61% impact (51563 seconds) The throughput of the I/O subsystem was significantly lower than expected RECOMMENDATION 1: Host Configuration, 61% benefit (51563 seconds) ACTION: Consider increasing the throughput of the I/O subsystem Oracle's recommended solution is to stripe all data file using the SAME methodology.

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FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' TRAILING NULLCOLS (DEPTNO, DNAME "upper(:dname)", LOC "upper(:loc)", COMMENTS char(1000000) )

You might also need to increase the number of disks for better performance Alternatively, consider using Oracle's Automatic Storage Management solution SYMPTOMS THAT LED TO THE FINDING: Wait class "User I/O" was consuming significant database time (71% impact [604143 seconds]) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ADDITIONAL INFORMATION ---------------------Wait class "Administrative" was not consuming significant database time Wait class "Application" was not consuming significant database time Wait class "Cluster" was not consuming significant database time Wait class "Commit" was not consuming significant database time Wait class "Configuration" was not consuming significant database time CPU was not a bottleneck for the instance Wait class "Network" was not consuming significant database time Wait class "Scheduler" was not consuming significant database time Wait class "Other" was not consuming significant database time The analysis of I/O performance is based on the default assumption that the average read time for one database block is 10000 micro-seconds.

As a first simple demonstration of external tables, we ll rerun the previous SQLLDR example, which bulk loaded data into the DEPT table. Just to refresh your memory, the simple control file we used was as follows: LOAD DATA INFILE * INTO TABLE DEPT FIELDS TERMINATED BY ',' (DEPTNO, DNAME, LOC ) BEGINDATA 10,Sales,Virginia 20,Accounting,Virginia 30,Consulting,Virginia 40,Finance,Virginia By far the easiest way to get started is to use this existing legacy control file to provide the definition of our external table. The following SQLLDR command will generate the CREATE TABLE statement for our external table:

Note This example is from UNIX, where the end-of-line marker is 1 byte, hence the STR setting in the preceding

An explanation of the terminology used in this report is available when you run the report with the 'ALL' level of detail..

In an ADDM report, each finding is followed by one or more recommendations. Thus, you might see a Recommendation 1, Recommendation 2, and so on, under each of the findings. For any particular finding, the sum of the benefit that follows the implementation of all recommendations under a finding equals that finding s impact (DB time). Note the following about the ADDM report shown in Listing 17-2: Findings 1 and 2 state that individual database segments responsible for significant physical I/O wait were found. ADDM recommends that you run the Segment Advisor to find out whether you can shrink the problem segments. Finding 3 reports an undersized buffer cache and recommends that you increase the SGA_TARGET parameter by 2,128MB. For Finding 4, the recommendation is to run the SQL Tuning Advisor on a specific SQL statement. For Finding 5, you re asked to look into disk striping and adopting the Automatic Storage Management solution, since the user I/O wait event was taking up considerable DB time.

[tkyte@desktop tkyte]$ sqlldr / demo1.ctl external_table=generate_only SQL*Loader: Release 10.1.0.4.0 - Production on Sat Jul 16 17:34:51 2005 Copyright (c) 1982, 2004, Oracle. All rights reserved. [tkyte@desktop tkyte]$ The EXTERNAL_TABLE parameter has one of three values: NOT_USED: This is self-evident in meaning and is the default value. EXECUTE: This value means that SQLLDR will not generate a SQL INSERT statement and execute it; rather, it will create an external table and use a single bulk SQL statement to load it. GENERATE_ONLY: This value causes SQLLDR to not actually load any data, but only to generate the SQL DDL and DML statements it would have executed into the log file it creates.

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