I am importing an Excel file which is formatted like a report - that is some columns are only populated once for each group of rows that it belongs to, such as:
CaseID |Date |Code
157207 | |
|8/1/2012 |64479
|8/1/2012 |Q9967
|8/1/2012 |99203
I need to capture one of these group headers (CaseID, in the example above) and use it for subsequent rows where the field is blank, then save the next value that I encounter.
I have added a variable (User::CurrentCaseId) and a Script transform, with the following code:
public class ScriptMain : UserComponent
{
string newCaseId;
public override void Input0_ProcessInputRow(Input0Buffer Row)
{
if (!Row.CaseIDName_IsNull && Row.CaseIDName.Length > 0)
newCaseId = Row.CaseIDName;
else
newCaseId = "DetailRow";
}
public override void PostExecute()
{
base.PostExecute();
if (newClaimNumber != "DetailRow")
Variables.CurrentCaseId = newCaseId;
}
Basically, I am trying to read the value when present and save it in this variable. I use a conditional split to ditch the rows that only have the CaseID and then use a derived column to put the variable value into a new column to complete the detail row.
Alas, the value is always blank (placed a data viewer after the derived column). I modified the script to always set the variable to a fixed string - the derived column is still blank.
This seemed like a good plan... I received some feedback in the MS forums that you can't set a variable value and use its new value within the same Data Flow Task. If that is so, the only solution I can think of is to write the CaseID out to a table when present and read it back in when absent. I really hate to do that with several million rows (multiple Excel worksheets). Any better ideas?
Best,
Scott
This can be a good starting point for you.
I used the following file as the source. Saved it into C:\Temp\5.TXT
CaseID |Date |Code
157207 | |
|8/1/2012 |64479
|8/1/2012 |Q9967
|8/1/2012 |99203
157208 | |
|9/1/2012 |77779
|9/2/2012 |R9967
|9/3/2012 |11203
Put a DFT on the Control Flow surface.
Put Script Component as Source on the DFT
3.1. Go to Inputs and Outputs section
3.2. Add Output. Change it name to MyOutput.
3.2.1 Add the following output columns - CaseID, Date, Code
3.2.1 The data types are four-byte unsigned integer [DT_UI4], string [DT_STR], string [DT_STR]
Now go to Scripts // Edit Script. Put the following code. Make sure to add
using System.IO;
to the namespace area.
public override void CreateNewOutputRows()
{
string[] lines = File.ReadAllLines(#"C:\temp\5.txt");
int iRowCount = 0;
string[] fields = null;
int iCaseID = 0;
string sDate = string.Empty;
string sCode = string.Empty;
foreach (string line in lines)
{
if (iRowCount == 0)
{
iRowCount++;
}
else
{
fields = line.Split('|');
//trim the field values
for (int i = 0; i < fields.Length; i++)
{
fields[i] = fields[i].Trim();
}
if (!fields[0].Equals(string.Empty))
{
iCaseID = Convert.ToInt32(fields[0]);
}
else
{
MyOutputBuffer.AddRow();
MyOutputBuffer.CaseID = iCaseID;
MyOutputBuffer.Date = fields[1];
MyOutputBuffer.Code = fields[2];
}
}
}
}
}
Testing your code: Add a Union All components right beneath where you put the Script component. Connect the output of the Script component to the Union All component. Put data viewer.
Hopefully this should help you. Please let us know. I responded to a similar question today; please check that one out as well. That may help in solidfying the concept - IMHO.
Related
We are working on a SSIS job to load the CSV file to a SQL table. This job is to be scheduled for daily load. The problem is this CSV file comes with different columns each day. Structure of the file is as below:
<table border="1">
<tr><td>Date</td><td>New York</td><td>Washington</td><td>London</td></tr>
<tr><td>15-04-2020</td><td>2</td><td>3</td><td>20</td></tr>
<tr><td>16-04-2020</td><td>30</td><td>50</td><td>22</td></tr>
</table>
Date column remains the same where as number of columns for city changes based on the data for that day. It could 1 city column or many more city columns. Each city column means the number of likes from the that city on that day.
I am thinking to convert the structure to a 3 column structure including Date, City Name and Number of Likes.
But how would a flat file source component would handle it and how would I transform it to a new structure?
I will walk you through a script component to handle this:
I am assuming your csv looks like this and not the html above:
Date,New York,Washington,London
15-04-2020,2,3,20
16-04-2020,30,50,22
I named this file likes.txt and saved it on my D:\
Add a dataflow
Add a Script Component (Source)
Go to inputs and outputs and add your outputs (don't forget data types)
Go into the script and paste the following Code into CreateNewOutputRows:
string[] lines = File.ReadAllLines(#"d:\likes.txt");
List<string> cities = new List<string>();
int ctr = 0;
foreach (string line in lines)
{
ctr++;
//skip empty rows
if(string.IsNullOrWhiteSpace(line)) continue;
//Get Cities from Header
if (ctr == 1)//Header row
{
string[] headers = line.Split(',');
for (int i = 1; i < headers.Length; i++)
{
cities.Add(headers[i]);
}
continue; //Go to next line
}
//Work with details
string[] pieces = line.Split(',');
for (int i = 1; i < pieces.Length; i++)
{
Output0Buffer.AddRow();
Output0Buffer.City = cities[i-1];
Output0Buffer.Date = DateTime.ParseExact(pieces[0].ToString(), "dd-MM-yyyy", CultureInfo.InvariantCulture);
Output0Buffer.Likes = int.Parse(pieces[i]);
}
}
Add the following namespaces to make the code work:
using System.IO;
using System.Collections.Generic;
using System.Globalization;
Here are your results:
There's quite a bit to unpack in that script as it uses Lists, Arrays, File System Tasks, etc. Let me know if you have questions.
PS - This is a Corona Virus Answer (meaning I am bored) without any effort on your end. Please at least show what you tried in the future.
I have used SSIS package flat file source to read pipe delimited | text file and used column delimiter as | and text qualifier as none. I need to handle that if extra columns in the source file need to skip that column values.
If new columns are in the source file the data get loaded into wrong columns. How to skip the values of that rows?
EDIT: I revised the answer to remove rows with more than the expected number of columns:
Parse it with an SSIS with a script component source. In the script component:
-Select the flat file connection manager under connection managers, below I left it named "Connection"
-Add columns to the output buffer and configure their data types. In my example, they are named "First" and "Second"
-In the script, add a reference to System.IO and do something like the following which looks for an expected number of columns and only adds a row to the buffer if it meets that criteria:
using System.IO;
...
public override void CreateNewOutputRows()
{
var expectedNumOfColumns = 2;
using (StreamReader sr = new StreamReader(Connections.Connection.ConnectionString))
{
string line;
while((line = sr.ReadLine()) != null)
{
var parsedLine = line.Split(',');
if (parsedLine.Length == expectedNumOfColumns)
{
Output0Buffer.AddRow();
Output0Buffer.First = parsedLine[0];
Output0Buffer.Second = parsedLine[1];
}
}
}
}
I am reading in a 17-column CSV file into a database.
once in a while the file has a "less then 17-column" row.
I am trying to ignore the row, but even when all columns are set to ignore, I can't ignore that row and the package fails.
How to ignore those rows?
Solution Overview
you can do this by adding one Flat File Connection Manager add only one column with Data type DT_WSTR and a length of 4000 (assuming it's name is Column0) - So all column are considered as one big column
In the Dataflow task add a Script Component after the Flat File Source
In mark Column0 as Input Column and Add 17 Output Columns
In the Input0_ProcessInputRow method split Column0 by delimiter, Then check if the length of array is = 17 then assign values to output columns, Else ignore the row.
Detailed Solution
Add a Flat file connection manager, Select the text file
Go to the Advanced Tab, Delete all Columns except one Column
Change the datatype of the remianing Column to DT_WSTR and length = 4000
Add a DataFlow Task
Inside the Data Flow Task add a Flat File Source, Script Component and OLEDB Destination
In the Script Component Select Column0 as Input Column
Add 17 Output Columns (the optimal output columns)
Change the OutputBuffer SynchronousInput property to None
Select the Script Language to Visual Basic
In the Script Editor write the following Script
Public Overrides Sub Input0_ProcessInputRow(ByVal Row As Input0Buffer)
If Not Row.Column0_IsNull AndAlso
Not String.IsNullOrEmpty(Row.Column0.Trim) Then
Dim strColumns As String() = Row.Column0.Split(CChar(";"))
If strColumns.Length <> 17 Then Exit Sub
Output0Buffer.AddRow()
Output0Buffer.Column = strColumns(0)
Output0Buffer.Column1 = strColumns(1)
Output0Buffer.Column2 = strColumns(2)
Output0Buffer.Column3 = strColumns(3)
Output0Buffer.Column4 = strColumns(4)
Output0Buffer.Column5 = strColumns(5)
Output0Buffer.Column6 = strColumns(6)
Output0Buffer.Column7 = strColumns(7)
Output0Buffer.Column8 = strColumns(8)
Output0Buffer.Column9 = strColumns(9)
Output0Buffer.Column10 = strColumns(10)
Output0Buffer.Column11 = strColumns(11)
Output0Buffer.Column12 = strColumns(12)
Output0Buffer.Column13 = strColumns(13)
Output0Buffer.Column14 = strColumns(14)
Output0Buffer.Column15 = strColumns(15)
Output0Buffer.Column16 = strColumns(16)
End If
End Sub
Map the Output Columns to the Destination Columns
C# Solution for Loading CSV and skip rows that don't have 17 columns:
Use a Script Component:
On input/output screen add all of your outputs with data types.
string fName = #"C:\test.csv" // Full file path: it should reference via variable
string[] lines = System.IO.File.ReadAllLines(fName);
//add a counter
int ctr = 1;
foreach(string line in lines)
{
string[] cols = line.Split(',');
if(ctr!=1) //Assumes Header row. elim if 1st row has data
{
if(cols.Length == 17)
{
//Write out to Output
Output0Buffer.AddRow();
Output0Buffer.Col1 = cols[0].ToString(); //You need to cast to data type
Output0Buffer.Col2 = int.Parse(cols[1]) // example to cast to int
Output0Buffer.Col3 = DateTime.Parse(cols[2]) // example of datetime
... //rest of Columns
}
//optional else to handle skipped lines
//else
// write out line somewhere
}
ctr++; //increment counter
}
This is for #SidC comment in my other answer.
This lets you work with multiple files:
//set up variables
string line;
int ctr = 0;
string[] files = System.IO.Directory.GetFiles(#"c:/path", "filenames*.txt");
foreach(string file in files)
{
var str = new System.IO.StreamReader(file);
while((line = str.ReadLine()) != null)
{
// Work with line here similar to the other answer
}
}
I am currently creating an SSIS that will gather data from database and output it to a single Comma delimited Flat File. The file will contain order details Format of file is
Order#1 details (51 columns)
Order#1 header (62 columns)
Order#2 details (51 columns)
Order#2 header (62 columns)
etc...
Order header has 62 columns, order details has 51 columns. I need to output this to a flat file and I am running into an issue because SSIS does not handle varying columns. Can someone please help me and given that my source is an OLEDB source with the query, how do I create a script component to output to a file.
Current Package looks like the following:
Get a list of all order. Pass orderid as a variable.
For loop container goes through each orderid, runs a data task flow to get the order details for the order. Run a data task to get order header.
I am just running into an issue to output each line to Flat file.
IF anyone can help that will be immensely appreciated. I have been struggling with this for a week now.If anyone can start me off with what the script component code should look like that would be immensely appreciated.
I have added what I have so far:
http://imgur.com/a/yTxfH
This is what my script looks like:
public void Main()
{
// TODO: Add your code here
DataTable RecordType300 = new DataTable();
DataTable RecordType210 = new DataTable();
DataTable RecordType220 = new DataTable();
DataTable RecordType200 = new DataTable();
OleDbDataAdapter adapter = new OleDbDataAdapter();
adapter.Fill(RecordType300, Dts.Variables["User:rec_type300"].Value);
adapter.Fill(RecordType210, Dts.Variables["User::rec_type_210"].Value);
adapter.Fill(RecordType220, Dts.Variables["User::rec_type_220"].Value);
adapter.Fill(RecordType200, Dts.Variables["User::rec_type200"].Value);
using (StreamWriter outfile = new StreamWriter("C:\\myoutput.csv"))
{
for (var i = 0; i < RecordType300.Rows.Count; i++)
{
var detailFields = RecordType300.Rows[i].ItemArray.Select(field => field.ToString()).ToArray();
// var poBillFields = RecordType210.Rows[i].ItemArray.Select(field => field.ToString()).ToArray();
// var poShipFields = RecordType220.Rows[i].ItemArray.Select(field => field.ToString()).ToArray();
// var poHeaderFields = RecordType200.Rows[i].ItemArray.Select(field => field.ToString()).ToArray();
outfile.WriteLine(String.Join(",", detailFields));
// outfile.WriteLine(string.Join(",", poBillFields));
// outfile.WriteLine(string.Join(",", poShipFields));
// outfile.WriteLine(string.Join(",", poHeaderFields));
}
}
Dts.TaskResult = (int)ScriptResults.Success;
}
But every time I run it, it errors out. Am I missing something here? Also, how would I create a file in the beginning only 1 time. Meaning every time this package is run it will create a file with the datestamp and append to it each time. The next time the package runs, it will create a new file with new date stamp and append each order details based on the order number.
This code/method has not been tested but should give you a good idea of what to do.
Create 2 SSIS variables of type object, one for the headers and one for the detail.
Create 2 Execute SQL tasks and 1 Script Task as outlined here:
Setup your Tasks to handle a full result set, similar to these pics (the Detail version is shown, do similar for Header but map results to the Header object and change your query to point at the header table):
Edit your script task and allow Detail and Header as read only vars:
Edit your actual script now along these lines (this is assuming you have exactly 1 detail row for 1 header row):
using System.IO;
using System.Linq;
using System.Data.OleDb;
// following to be inserted into Main() function
DataTable detailData = new DataTable();
DataTable headerData = new DataTable();
OleDbDataAdapter adapter = new OleDbDataAdapter();
adapter.Fill(detailData, Dts.Variables["User::Detail"].Value);
adapter.Fill(headerData, Dts.Variables["User::Header"].Value);
using (StreamWriter outfile = new StreamWriter("myoutput.csv"))
{
// we are making the assumption that
for (var i = 0; i < detailData.Rows.Count; i++)
{
var detailFields = detailData.Rows[i].ItemArray.Select(field => field.ToString()).ToArray();
var headerFields = headerData.Rows[i].ItemArray.Select(field => field.ToString()).ToArray();
outfile.WriteLine(string.Join(",", detailFields));
outfile.WriteLine(string.Join(",", headerFields));
}
}
Not a complete answer, just something to put you on the track of an alternative approach
SELECT Type, OrderBy, Col
FROM
(
SELECT 'D' As Type, Ord as OrderBy,
Col1 + ',' + CAST(Col2 AS VARCHAR(50)) + ',' + Col3 As Col
FROM Details
UNION ALL
SELECT 'H' As Type, Ord as OrderBy,
Col1 + ',' + CAST(Col2 AS VARCHAR(50)) + ',' + Col3 As Col + ',' + Col4
FROM Header
) S
ORDER BY OrderBy, Type
Its ugly but it works as long as you cast all datatypes to varchar
You can wrap this up in a view or a stored procedure and test it from the database (before you get to the SSIS part). You can even export this using BCP.EXE rather than SSIS
What you have here is one column which happens to contain this kind of data:
A,B,C
D,E,F,G
From a metadata perspective there is consistently one column
From a CSV perspective there are variable columns
I have a solution that works for what I want, but I'm hoping to get some slick LINQ types to help me improve what I have, and learn something new in the process.
The code below is used verify that certain column names exist on a spreadsheet. I was torn between using column index values or column names to find them. They both have good and bad points, but decided to go with column names. They'll always exist, and sometimes in different order, though I'm working on this.
Details:
GetData() method returns a DataTable from the Excel spreadsheet. I cycle through all the required field names from my array, looking to see if it matches with something in the column collection on the spreadsheet. If not, then I append the missing column name to an output parameter from the method. I need both the boolean value and the missing fields variable, and I wasn't sure of a better way than using the output parameter. I then remove the last comma from the appended string for the display on the UI. If the StringBuilder object isn't null (I could have used the missingFieldCounter too) then I know there's at least one missing field, bool will be false. Otherwise, I just return output param as empty, and method as true.
So, Is there a more slick, all-in-one way to check if fields are missing, and somehow report on them?
private bool ValidateFile(out string errorFields)
{
data = GetData();
List<string> requiredNames = new [] { "Site AB#", "Site#", "Site Name", "Address", "City", "St", "Zip" }.ToList();
StringBuilder missingFields = null;
var missingFieldCounter = 0;
foreach (var name in requiredNames)
{
var foundColumn = from DataColumn c in data.Columns
where c.ColumnName == name
select c;
if (!foundColumn.Any())
{
if (missingFields == null)
missingFields = new StringBuilder();
missingFieldCounter++;
missingFields.Append(name + ",");
}
}
if (missingFields != null)
{
errorFields = missingFields.ToString().Substring(0, (missingFields.ToString().Length - 1));
return false;
}
errorFields = string.Empty;
return true;
}
Here is the linq solution that makes the same.
I call the ToArray() function to activate the linq statement
(from col in requiredNames.Except(
from dataCol in data
select dataCol.ColumnName
)
select missingFields.Append(col + ", ")
).ToArray();
errorFields = missingFields.ToString();
Console.WriteLine(errorFields);