CODEWITHSUNDEEP
sqloracle-databasesql-loader
goldenbutter
goldenbutter

Reputation: 589

load multiple csv into one table by SQLLDR

I am using SQL LOADER to load multiple csv file in one table. The process I found is very easy like

LOAD
  DATA 
  INFILE '/path/file1.csv'
  INFILE '/path/file2.csv'
  INFILE '/path/file3.csv'
  INFILE '/path/file4.csv'
  APPEND INTO TABLE TBL_DATA_FILE
    EVALUATE CHECK_CONSTRAINTS
    REENABLE DISABLED_CONSTRAINTS
    EXCEPTIONS EXCEPTION_TABLE
  FIELDS TERMINATED BY "," 
  OPTIONALLY ENCLOSED BY '"'
  TRAILING NULLCOLS
  ( 
    COL0,
    COL1,
    COL2,
    COL3,
    COL4
  )

But I don't want to use INFILE multiple time cause if I have more than 1000 files then I have to mention 1000 times INFILE in control file script.

So my question is: is there any other way (like any loop / any *.csv) to load multiple files without using multiple infile?

Thanks, Bithun

Upvotes: 9

Views: 36906

Answers (5)

Paulo Alexandre Machado
Paulo Alexandre Machado

Reputation: 101

You can use a wildcards (? for a single character, * for any number) like this:

infile 'file?.csv'

;)

Upvotes: 4

Chalam
Chalam

Reputation: 1

OPTIONS (skip=1)
LOAD DATA

INFILE /export/home/applmgr1/chalam/Upload/*.csv

REPLACE INTO TABLE XX_TEST_FTP_UP
FIELDS TERMINATED BY ','
TRAILING NULLCOLS
(FULL_NAME,EMPLOYEE_NUMBER)

whether it will check all the CSV and load the data or not

Upvotes: -2

RandomSeed
RandomSeed

Reputation: 29749

Loop over the files from the shell:

#!/bin/bash
for csvFile in `ls file*.csv`
do
    ln -s $csvFile tmpFile.csv
    sqlldr control=file_pointing_at_tmpFile.ctl
    rm tmpFile.csv
done

Upvotes: 1

wolφi
wolφi

Reputation: 8361

Solution 2: Use external tables and load the data using a PL/SQL procedure:

CREATE PROCEDURE myload AS
BEGIN
  FOR i IN 1 .. 1000 LOOP
    EXECUTE IMMEDIATE 'ALTER TABLE xtable LOCATION ('''||to_char(i,'FM9999')||'.csv'')';
    INSERT INTO mytable SELECT * FROM xtable;
  END LOOP;
END;

Upvotes: 4

wolφi
wolφi

Reputation: 8361

Solution 1: Can you concatenate the 1000 files into on big file, which is then loaded by SQL*Loader. On unix, I'd use something like

cd path
cat file*.csv > all_files.csv

Upvotes: 12

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