Load all file names in a directory to a SQL Table

I need to load all the file names in a directory to a SQL table. It must be done via TSQL or SSIS. If using TSQL cannot use xp_cmdshell or any undocumented sprocs. So I am guessing it will be SSIS. But still open to suggestions. I am an SSIS newbie and need
a nudge in the right direction of how to get the file names into a SQL table.
Thanks

Let me add a bit of background. We are sent a group of files. Each file has the ccyymmdd date attached to the name. Possible that we miss processing one day and the next day there are two sets of files in the directory. file1_20140101, file2_20140101,
file1_20140102, file2_20140102. I cannot guarantee what the file names will be. Just know that i need to process the 20140101 files in one batch, and then the 20140102 files in the next batch. So thinking that i could read all the file names into a SQL table,
distinct on the date and then sort by the date and pull off those files to process first. Thinking this will be done in SSIS. Open to any ideas or suggestions.

Similar Messages

Listing of all file names in a directory

Hello everyone,
Is there a way to get the listing of all file names in a directory
pointed by an entry in dba_directory in oracle into a collection in
pl/sql procedure.
Thank you.
Tuncay

this is the same problem I am trying to solve now. I found some ehlp in Tom Kyte articles on java stored procedures.
create global temporary table DIR_LIST
( filename varchar2(255) )
on commit delete rows;
create and compile java source named "DirList" as
import java.io.*;
import java.sql.*;
public class DirList
public static void getList(String directory)
throws SQLException
File path = new File( directory );
String[] list = path.list();
String element;
for(int i = 0; i < list.length; i++)
element = list;
#sql { INSERT INTO DIR_LIST (FILENAME)
VALUES (:element) };
create procedure get_dir_list( p_directory in varchar2 )
as language java
name 'DirList.getList( java.lang.String )';
then you call in your pl/sql and fill your collection from the DIR_LIST table:
get_dir_list('the name of the directory' );
---then you fill the collection by fetching the DIR_LIST table
good luck,
Florin

List all file names in a directory

Hello everybody,
I need to write a script in PL/SQL (oracle 10g) that lists all filenames in a specific directory on a client machine and import the files into the database (xml files). After the file is imported they have to be removed.
I was searching for a solution for this because I have never come accross a challenge like this.
What I found was that I could use the procedure dbms_backup_restore.searchfiles of the SYS schema.
Now I need to know how this procedure works. There is very little documentation available.
Can I give the procedure a folder name on my client computer that has the xml files and let the procedure list these files?
Can someone please help me with this. I haven't got a clue.
Thanks in advance.
regards,
Mariane

Hello Justin,
Thank you for your reply.
You have just confirmed what I already was thinking: that the server cannot read files from the client.
I haven't got a client application running to do this. My customer wants me to write a script in PL/SQL that enables users to run an import of xml files in the database by giving in a directory name on the client.
I told my customer that they have to put the xml files on a server directory. Should that always be the server where the database resides on?
Is there another way to solve this request?
Thanks in advance.
regards,
Mariane

Method to get all File names in a directory

Hallo together,
has Java any method, to get the file names in a specific directory?
Regards,
Martin

... or simply list() if you're interested in file names only.

How to read all files' name in a directory and store in a string array?

as title

One possibility is to use the listFiles() method, using recursion if you want the files in the sub-directory also. Check API documentation for java.io.File.

How to create Dynamic Selection List containg file names of a directory?

Hi,
I need a Selection List with a Dynamic List of Values containing all file names of a particular directory (can change through the time).
Basically, I need an Iterator over all file names in a directory, which could be used for Selection List in a JSF form.
This iterator has nothing to do with a database, but should get the names directly from the file system (java.io.File).
Can anybody tell me how to create such an iterator/selection list?
I am working with JDeveloper 10.1.3.2, JSF and Business Services.
Thank you,
Igor

Create a class like this:
package list;
import java.io.File;
public class fileList {
    public fileList() {
    public String[] listFiles(){
    File dir = new File("c:/temp");
    String[] files = dir.list();
    for (int i = 0; i < files.length; i++) {
            System.out.println(files);
return files;
Right click to create a data control from it.
Then you can drag the return value of the listFiles method to a page and drop as a table for example.
Also note that the Content Repository data control in 10.1.3.2 has the file system as a possible data source.

Load all files in a directory

hi all! im new to java and i was wondering if u can help me out!
ive wrote a small application which analysises words in a text file, and what i need to do is load all the files in a directory, rather than one at a time like in the following code. I understand that a loop is needed but i really dont know where to start! please help!
thanks for your time
oh also, is there a way of the system printing the filename rather than "this text is.."?
import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import java.util.HashMap;
public class eval {
private String[] words;
private int[] values;
private int num;
private HashMap <String, Integer> hashMap;
private arrays a;
private String[] negwords;
private int[] negvalues;
private HashMap hashMap2;
private int negnum;
public eval() {
initiatemap();
BufferedReader in = null;
try {
in = new BufferedReader (new FileReader ("text.txt")); //id like this to load all files in a directory
String str;
String s;
while ((str = in.readLine()) != null)
str = str.replaceAll("[\\p{Punct}&&[^?????????????????????]]", " ");
String[]temp = str.split(" ");
for (int i = 0; i < temp.length; i++) {
if (hashMap.containsKey(temp)) {
num++;
for (int i = 0; i < temp.length; i++) {
if (hashMap2.containsKey(temp[i])) {
negnum++;
if (num > 0 && negnum > 0 ){
double total = num + negnum;
double txt1 = round((num/total)*100, 2);
if (txt1 < 50)
System.out.println("This text is " + txt1 + "% positive and is therefore not a happy text.");
else if (txt1 >= 50 && txt1 <=65)
System.out.println("This text is " + txt1 + "% positive, but does contain " + (100 - txt1) + "% negative words, it is therefore probably not a happy text.");
else if (txt1 > 65)
System.out.println("This text is " + txt1 + "% positive, and is therefore a happy text.");
in.close();
catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
public static double round(double val, int places) {
long factor = (long)Math.pow(10,places);
// Shift the decimal the correct number of places
// to the right.
val = val * factor;
// Round to the nearest integer.
long tmp = Math.round(val);
// Shift the decimal the correct number of places
// back to the left.
return (double)tmp / factor;
public void initiatemap()
a = new arrays();
words = a.initiateWords();
negwords = a.initiateNegWords();
values = a.initiateValues();
negvalues = a.initiateNegValues();
hashMap = a.initiateMap();
hashMap2 = a.initiateNegMap();
for (int i = 0; i < words.length; i++) {
hashMap.put(words[i], values[i]);}
for (int j = 0; j < negwords.length; j++) {
hashMap2.put(negwords[j], negvalues[j]);}
public static void main(String[] args) {
eval eval = new eval();

hi again,
ok thanks for the help, ive have made the changes and i am now getting results.. however the results aren't correct!
if i load the texts in one at a time, i get entirely different results to what is being printed. any suggestions?
thanks again, i really really appreciate your help
Torre
private static void readMultipleFilesFromADirectory()
File directory = new File(multipleFilesDirectory);
// just to double check that this is a directory
if (directory.isDirectory())
File[] allFilesWithinThisDirectory = directory.listFiles();
BufferedReader in = null;
for (File file: allFilesWithinThisDirectory)
initiatemap();
try {
in = new BufferedReader (new FileReader (file));
String str;
String s;
while ((str = in.readLine()) != null)
str = str.replaceAll("[
p{Punct}&&--^áâãäéêëìíîïòóôöùúûüçè]--", " ");
String[]temp = str.split(" ");
for (int i = 0; i < temp.length; i++) {
if (hashMap.containsKey(temp)) {
num++;
for (int i = 0; i < temp.length; i++) {
if (hashMap2.containsKey(temp[i])) {
negnum++;
if (num > 0 && negnum > 0 ){
double total = num + negnum;
double txt1 = round((num/total)*100, 2);
if (txt1 < 50)
System.out.println(file + " is " + txt1 + "% positive and is therefore not a happy text.");
else if (txt1 >= 50 && txt1 <=65)
System.out.println(file +" is " + txt1 + "% positive, but does contain " + (100 - txt1) + "% negative words, it is therefore probably not a happy text.");
else if (txt1 > 65)
System.out.println(file +" is " + txt1 + "% positive, and is therefore a happy text.");
in.close();
catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
results:
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv416_11136.txt is 60.65% positive, but does contain 39.35% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv417_13115.txt is 60.66% positive, but does contain 39.34% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv418_14774.txt is 60.68% positive, but does contain 39.32% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv419_13394.txt is 60.69% positive, but does contain 39.31% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv420_28795.txt is 60.66% positive, but does contain 39.34% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv421_9709.txt is 60.65% positive, but does contain 39.35% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv422_9381.txt is 60.69% positive, but does contain 39.31% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv423_11155.txt is 60.69% positive, but does contain 39.31% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv424_8831.txt is 60.67% positive, but does contain 39.33% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv425_8250.txt is 60.67% positive, but does contain 39.33% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv426_10421.txt is 60.69% positive, but does contain 39.31% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv427_10825.txt is 60.66% positive, but does contain 39.34% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv428_11347.txt is 60.68% positive, but does contain 39.32% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv429_7439.txt is 60.69% positive, but does contain 39.31% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv430_17351.txt is 60.68% positive, but does contain 39.32% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv431_7085.txt is 60.67% positive, but does contain 39.33% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv432_14224.txt is 60.67% positive, but does contain 39.33% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv433_10144.txt is 60.66% positive, but does contain 39.34% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv434_5793.txt is 60.63% positive, but does contain 39.37% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv435_23110.txt is 60.62% positive, but does contain 39.38% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv436_19179.txt is 60.68% positive, but does contain 39.32% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv437_22849.txt is 60.69% positive, but does contain 39.31% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv438_8043.txt is 60.65% positive, but does contain 39.35% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv439_15970.txt is 60.68% positive, but does contain 39.32% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv440_15243.txt is 60.66% positive, but does contain 39.34% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv441_13711.txt is 60.64% positive, but does contain 39.36% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv442_13846.txt is 60.61% positive, but does contain 39.39% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv443_21118.txt is 60.61% positive, but does contain 39.39% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv444_9974.txt is 60.6% positive, but does contain 39.4% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv445_25882.txt is 60.56% positive, but does contain 39.44% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv446_11353.txt is 60.54% positive, but does contain 39.46% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv447_27332.txt is 60.54% positive, but does contain 39.46% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv448_14695.txt is 60.56% positive, but does contain 39.44% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv449_8785.txt is 60.55% positive, but does contain 39.45% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv450_7890.txt is 60.54% positive, but does contain 39.46% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv451_10690.txt is 60.54% positive, but does contain 39.46% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv452_5088.txt is 60.53% positive, but does contain 39.47% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv453_10379.txt is 60.56% positive, but does contain 39.44% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv454_2053.txt is 60.55% positive, but does contain 39.45% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv455_29000.txt is 60.55% positive, but does contain 39.45% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv456_18985.txt is 60.57% positive, but does contain 39.43% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv457_18453.txt is 60.53% positive, but does contain 39.47% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv458_8604.txt is 60.53% positive, but does contain 39.47% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv459_20319.txt is 60.5% positive, but does contain 39.5% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv460_10842.txt is 60.54% positive, but does contain 39.46% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv461_19600.txt is 60.48% positive, but does contain 39.52% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv462_19350.txt is 60.47% positive, but does contain 39.53% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv463_10343.txt is 60.49% positive, but does contain 39.51% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv464_15650.txt is 60.48% positive, but does contain 39.52% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv465_22431.txt is 60.46% positive, but does contain 39.54% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv466_18722.txt is 60.46% positive, but does contain 39.54% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv467_25773.txt is 60.45% positive, but does contain 39.55% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv468_15228.txt is 60.47% positive, but does contain 39.53% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv469_20630.txt is 60.42% positive, but does contain 39.58% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv470_15952.txt is 60.39% positive, but does contain 39.61% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv471_16858.txt is 60.4% positive, but does contain 39.6% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv472_29280.txt is 60.4% positive, but does contain 39.6% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv473_7367.txt is 60.38% positive, but does contain 39.62% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv474_10209.txt is 60.38% positive, but does contain 39.62% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv475_21692.txt is 60.42% positive, but does contain 39.58% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv476_16856.txt is 60.43% positive, but does contain 39.57% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv477_22479.txt is 60.48% positive, but does contain 39.52% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv478_14309.txt is 60.47% positive, but does contain 39.53% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv479_5649.txt is 60.44% positive, but does contain 39.56% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv480_19817.txt is 60.45% positive, but does contain 39.55% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv481_7436.txt is 60.43% positive, but does contain 39.57% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv482_10580.txt is 60.43% positive, but does contain 39.57% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv483_16378.txt is 60.44% positive, but does contain 39.56% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv484_25054.txt is 60.43% positive, but does contain 39.57% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv485_26649.txt is 60.45% positive, but does contain 39.55% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv486_9799.txt is 60.44% positive, but does contain 39.56% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv487_10446.txt is 60.42% positive, but does contain 39.58% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv488_19856.txt is 60.41% positive, but does contain 39.59% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv489_17906.txt is 60.4% positive, but does contain 39.6% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv490_17872.txt is 60.42% positive, but does contain 39.58% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv491_12145.txt is 60.44% positive, but does contain 39.56% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv492_18271.txt is 60.44% positive, but does contain 39.56% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv493_12839.txt is 60.43% positive, but does contain 39.57% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv494_17389.txt is 60.43% positive, but does contain 39.57% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv495_14518.txt is 60.41% positive, but does contain 39.59% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv496_10530.txt is 60.39% positive, but does contain 39.61% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv497_26980.txt is 60.39% positive, but does contain 39.61% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv498_8832.txt is 60.38% positive, but does contain 39.62% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv499_10658.txt is 60.38% positive, but does contain 39.62% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv500_10251.txt is 60.37% positive, but does contain 39.63% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv501_11657.txt is 60.34% positive, but does contain 39.66% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv502_10406.txt is 60.33% positive, but does contain 39.67% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv503_10558.txt is 60.35% positive, but does contain 39.65% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv504_29243.txt is 60.35% positive, but does contain 39.65% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv505_12090.txt is 60.3% positive, but does contain 39.7% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv506_15956.txt is 60.32% positive, but does contain 39.68% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv507_9220.txt is 60.3% positive, but does contain 39.7% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv508_16006.txt is 60.31% positive, but does contain 39.69% negative words, it is therefore probably not a happy text.
C:\Users\Torre\Desktop\panglee\txt_sentoken\pos\cv509_15888.txt is 60.39% positive, but does contain 39.61% negative words, it is therefore probably not a happy text.

Error while reading file name in a directory

Hi,
I am trying to read all the file names within a directory, however I get the below error while running the code.
Run-time error '5':
Invalid procedure call or argument
The actual path is "Q:\Budget\Historical Budgets\FY15\*.xls*"
and ThisWorkbook.Sheets(1).Range("A1").Value = FY15 in my excel sheet.
"Below is the code I am using"
Dim file As Variant
file = Dir("Q:\Budget\Historical Budgets\" & ThisWorkbook.Sheets(1).Range("A1").Value & "\*.xls*")
If file = "" Then
        MsgBox "no files"
        Exit Sub
      Else
        ' ... else, count the files
        x = 0
        Do While file <> ""
            x = x + 1
            file = Dir
<---- I get the error at this line.
        Loop
End If
Could you please help me to solve this problem
Regards, Hitesh

Do you want to generate a list of all files in a folder, in your spreadsheet? If so, please try this sample code?
Option Explicit
Private cnt As Long
Private arfiles
Private level As Long
Sub Folders()
Dim i As Long
Dim sFolder As String
Dim iStart As Long
Dim iEnd As Long
Dim fOutline As Boolean
arfiles = Array()
cnt = -1
level = 1
sFolder = "C:\Users\Excel\Desktop\Coding\Microsoft Excel\Work Samples\"
ReDim arfiles(2, 0)
If sFolder <> "" Then
SelectFiles sFolder
Application.DisplayAlerts = False
On Error Resume Next
Worksheets("Files").Delete
On Error GoTo 0
Application.DisplayAlerts = True
Worksheets.Add.Name = "Files"
With ActiveSheet
For i = LBound(arfiles, 2) To UBound(arfiles, 2)
If arfiles(0, i) = "" Then
If fOutline Then
Rows(iStart + 1 & ":" & iEnd).Rows.Group
End If
With .Cells(i + 1, arfiles(2, i))
.Value = arfiles(1, i)
.Font.Bold = True
End With
iStart = i + 1
iEnd = iStart
fOutline = False
Else
.Hyperlinks.Add Anchor:=.Cells(i + 1, arfiles(2, i)), _
Address:=arfiles(0, i), _
TextToDisplay:=arfiles(1, i)
iEnd = iEnd + 1
fOutline = True
End If
Next
.Columns("A:Z").ColumnWidth = 5
End With
End If
'just in case there is another set to group
If fOutline Then
Rows(iStart + 1 & ":" & iEnd).Rows.Group
End If
Columns("A:Z").ColumnWidth = 5
ActiveSheet.Outline.ShowLevels RowLevels:=1
ActiveWindow.DisplayGridlines = False
End Sub
Sub SelectFiles(Optional sPath As String)
Static FSO As Object
Dim oSubFolder As Object
Dim oFolder As Object
Dim oFile As Object
Dim oFiles As Object
Dim arPath
If FSO Is Nothing Then
Set FSO = CreateObject("Scripting.FileSystemObject")
End If
If sPath = "" Then
sPath = CurDir
End If
arPath = Split(sPath, "\")
cnt = cnt + 1
ReDim Preserve arfiles(2, cnt)
arfiles(0, cnt) = ""
arfiles(1, cnt) = arPath(level - 1)
arfiles(2, cnt) = level
Set oFolder = FSO.GetFolder(sPath)
Set oFiles = oFolder.Files
For Each oFile In oFiles
cnt = cnt + 1
ReDim Preserve arfiles(2, cnt)
arfiles(0, cnt) = oFolder.Path & "\" & oFile.Name
arfiles(1, cnt) = oFile.Name
arfiles(2, cnt) = level + 1
Next oFile
level = level + 1
For Each oSubFolder In oFolder.Subfolders
SelectFiles oSubFolder.Path
Next
level = level - 1
End Sub
Knowledge is the only thing that I can give you, and still retain, and we are both better off for it.

How to read all files under a folder directory in FTP site

Hi Experts,
I use this SQL to read data from a file in FTP site. utl_file.fopen('ORALOAD', file_name,'r');
But this need to fixed file name in a directory. However, client generate output file with auto finename.
SO do we have any way to read all file by utl_file.fopen('ORALOAD', file_name,'r');
We need to read all file info. because client claim for security issue and does not to overwirte output file name,
we must find a way to read all file in output directory.
Thanks for help!!!
Jim

If you use Chris Poole's XUTL_FTL package, I believe that contains functions that allows you to query the directory contents.
http://www.chrispoole.co.uk/apps/xutlftp.htm
Edited by: BluShadow on Jan 13, 2009 1:54 PM
misread the original post

Sql loader:loading data file name to one of the tabe column.

Hi,
I want to load the data file name also to one of the table column.
Table structure:
File_Name varchar2
Name varchar2
Age number
Data File Format:
Vijay|24
Anandh|24
Senthil|26
In the above eg how to write a control file to load the data file name to the File_Name column of the table.
Note:
The shell script will first pick up the data files to be loaded and calls the control file.
Thanks,
Vijay.

From a unix load perspective this is what we have done :
Create a control file (say load_data.ctl) something like
LOAD DATA
append
Into table file_name_age
File_Name constant '<FILENAME>',
Name CHAR TERMINATED BY '|'
Age INTEGER EXTERNAL TERMINATED BY '|' )
in a unix loop do the following
for i in `ls $LOADDIR` ; do
#Replace <FILENAME> with actual filename and create a temp ctl file
sed s/\<FILENAME\>/${1}/g < ${CTLDIR}/load_data.ctl > ${TMPDIR}/load_data_${1}.ctl
#load using temp file
sqlldr / CONTROL=${TMPDIR}/load_data_${1}.ctl
DATA=$i
#remove temp
rm ${TMPDIR}/load_data_${1}.ctl
done
Where
${TMPDIR}=your temp directory
${CTLDIR}=where your main directory for ctl files
$LOADDIR=Your data directory

How to retrieve all files in a given directory?

Hi all,
I am a newbie to Java. I have to retrieve all files in a given directory. The names of the files are not known to me. Only the name of the directory is known. How can I retrieve and read all those files?
Gary

Check out the list and listFiles method: http://java.sun.com/j2se/1.3/docs/api/java/io/File.html

Showing all files of a given directory

I'm trying to write a class that shows me all files of a given directory. When a run the class without parameters, everything seems to work fine, however, when I use a parameter that contains the directory, I get the following error:
java.lang.NullPointerException
     at be.hogelimb.ti.fundamentals.io.IOProgr4.<init>(IOProgr4.java:25)
     at be.hogelimb.ti.fundamentals.io.IOProgr4.main(IOProgr4.java:43)
Exception in thread "main"
this is my class without parameters:
public class IOProgr4 {
public IOProgr4(){
File dirName = new File("C:\\Documents and Settings\\FirstName LastName\\My documents\\test");
     if (dirName.exists()){
     if (dirName.isDirectory()){
     File[] dirFiles = dirName.listFiles();
     for (int i = 0; i<dirFiles.length; i++){
     System.out.println(dirFiles);
     else{
     System.out.println("dirName is not a directory");
     else{
     System.out.println("Can'f find directory");
     public static void main(String args[]){
          new IOProgr4();
You see, it's a very simple class.
This is my class with parameters :
public class IOProgr4 {
String dirString;
public IOProgr4(String dirString){
this.dirString = dirString;
File dirName = new File(dirString);
if (dirName.exists()){
if (dirName.isDirectory()){
     File[] dirFiles = dirName.listFiles();
     for (int i = 0; i<dirFiles.length; i++){
     System.out.println(dirFiles[i]);
     else{
     System.out.println("dirName is not a directory");
     else{
     System.out.println("Can't find directory");
public static void main(String args[]){
String dirString = "";
for (int i = 0; i < args.length; i++){
dirString += args[i] + " ";
new IOProgr4(dirString);
I'm working with Eclipse and my parameter string is the same as the String I've written in the first class, and it's also recognized as a directory. Can anyone tell me why this doesn't work?
Thanks in advance!!!

I'm working with Eclipse and my parameter string is
the same as the String I've written in the first
class...In the end, it has nothing to do with whether you've hard-coded the directory name versus taken it as a parameter. It must not have been the same value, or it would have worked the same. So your problem lies elsewhere - however, you were given a nice stack trace pointing out the line in your code where it happened. Are you not familiar with a little concept known as debugging?

Can we possible to retrive the file name from the directory...?

Can we possible to retrive the list of files or file names from the directory...?
The directory called create or replace directory [directory_name] as ....

Yeah, yeah its very good example for this scenario.
I agree. But, I want to learn about Java based PL/SQL code development for that just I am asking any link for this kind of material.....:-)

How to get list of file names from a directory?

How to get list of file names from a directory?
Please help

In addition, this:
String filename = files;Should be this:
String filename = files;
That's just because he didn't use the "code" tags, so [ i ] made everything following it become italicized.

I previously had PS CS5 Trial installed but removed it using both Control Panel Programs and deleting all files from the CS5 directory on Program Files. I then installed a purchased product from Adobe disc using the serial number on the case. But when I

I previously had PS CS5 Trial installed but removed it using both Control Panel Programs and deleting all files from the CS5 directory on Program Files. I then installed a purchased product from Adobe disc using the serial number on the case. But when I try to launch it, I get a screen headed Photoshop CS5 Extended Trial. It asks for the serial number and says that my trial has expired. It rejects the serial number from the Adobe case saying "This Serial Number is not valid for this product". It thinks that I still have the expired Trial Version installed. How do I convince it (the program) that the Trial Version is long gone and the currently installed product was installed with a valid and accepted serial number????

Let me know how it goes. Go into your Adobe account and register your serial number asap.
https://www.adobe.com/account/my-products-services.html
That way, should you lose it or you need support, it is on record that it's yours and you can fetch your s/n it from anywhere.
There are too may sad stories here, where people forgot and the box is buried or lost.
Gene

Load all file names in a directory to a SQL Table

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