SCRIPT TO GENERATE SQL*LOADER CONTROL FILE
This script prepares a SQL*Loader control file for a table already existing in the database. The script accepts
the table name and automatically creates a file with the table name and extension 'ctl'. This is specially
useful if you have the DDL statement to create a particular table and have a free-format ASCII-delimited file but
have not yet created a SQL*Loader control file for the loading operation.
Default choices for the file are as follows (alter to your needs):
Delimiter: comma (',')
INFILE file extension: .dat
DATE format: 'MM/DD/YY'
You may define the Loader Data Types of the other Data Types by revising the DECODE function pertaining
to them.
Please note:
The name of the table to be unloaded needs to be provided when the script is executed as follows:
Script:
set echo off set heading off set verify off set feedback off set show off set trim off set pages 0 set concat on set lines 300 set trimspool on set trimout on spool &1..ctl select 'LOAD DATA'||chr (10)|| 'INFILE '''||lower (table_name)||'.dat'''||chr (10)|| 'INTO TABLE '||table_name||chr (10)|| 'FIELDS TERMINATED BY '','''||chr (10)|| 'TRAILING NULLCOLS'||chr (10)||'(' from all_tables where table_name = upper ('&1'); select decode (rownum, 1, ' ', ' , ')|| rpad (column_name, 33, ' ')|| decode (data_type, 'VARCHAR2', 'CHAR NULLIF ('||column_name||'=BLANKS)', 'FLOAT', 'DECIMAL EXTERNAL NULLIF('||column_name||'=BLANKS)', 'NUMBER', decode (data_precision, 0, 'INTEGER EXTERNAL NULLIF ('||column_name|| '=BLANKS)', decode (data_scale, 0, 'INTEGER EXTERNAL NULLIF ('|| column_name||'=BLANKS)', 'DECIMAL EXTERNAL NULLIF ('|| column_name||'=BLANKS)')), 'DATE', 'DATE "MM/DD/YY" NULLIF ('||column_name||'=BLANKS)', null) from user_tab_columns where table_name = upper ('&1') order by column_id; select ')' from sys.dual; spool offSample Output:
LOAD DATA INFILE 'tv.dat' INTO TABLE TV FIELDS TERMINATED BY ',' TRAILING NULLCOLS ( T1 INTEGER EXTERNAL NULLIF (T1=BLANKS) , T2 CHAR NULLIF (T2=BLANKS) , T3 CHAR NULLIF (T3=BLANKS) )
posted on 2013-03-19 00:32 Oracle和MySQL 阅读(268) 评论(0) 编辑 收藏 举报