I have 2 files as below. TextFile1.txt is the result after ssis package execution. But some rows are missing in this file. The original file which i should get is TextFile2.txt. So i want to compare these 2 files. I want to know the missing rows. File description is as below.
"TextFile1.txt contains 20 columns and 31449 rows
TextFile2.txt containts also 20 columns and 32447 rows."
your conditional split should test for the null keys coming from the merge join and direct them to the output to show which rows are missing.
Related
I have a large text file with 7 columns with delimited pipe symbol (|). I need to load into table using SSIS. There are few rows in text file has no data for last column. Since it is not having data, it is just loading the last column as entire row.
For example
Id|name|lastname|firstname|sal|Email
1 |AABB|AA|BB|20|abc#gmail.com
2|XYZ|X|YZ|30
In this 2nd row I don't have data for email column and not ended with | symbol.
After loaded the data into table and data looks like
1 AABB AA BB 20 abc#gmail.com
2 XYZ X YZ 30 XYZ|X|YZ|30
Ideally it should load as blank or NULL for the 2nd row. But it is not happening.
Can anyone suggest me how to resolve this issue.
I have an Excel file with 900+ column I need to import on regular basis into Access. Unfortunately I get the Excel file as such and can't change the data structure. The good news is I only need few columns of those 900+. Unfortunately MS Access can't work with files more than 255 columns.
So the idea is to import as csv file with all columns in each row in just text field. And then using VBA in Access via split to break it out again.
Question:
As I don't need all columns I want to only keep some items. So I have as input a list of column numbers I need to keep. The list is dynamic in a sense it is user defined. There is a table with all item numbers users wants to have.
I can relatively easy split the sourceTbl field.
SELECT split(field1, vbTab) from sourceTbl
If I would know I always need to extract certain columns I could probalby write in some
SELECT getItem(field1, vbTab, 1), getItem(field1, vbTab, 4), ...
Where getItem would be custom function to return item number i. Problem is which/how many columns to retrieve is not static. I read that dynamically from another table that lists the item numbers to keep.
Sample Data:
sourceTbl: field1 = abc;def;rtz;jkl;wertz;hjk
columnsToKeep: 1,4,5
Should output: abc, jkl, wertz
Excel files have around 20k rows each. About 100 MB data per file. Talking about 5 files per import. Filtered on the needed columns all data imported is about 50 MB.
I am trying to determine if there's a way to sort rows of a MySQL table that consists of start/finish columns. (Could also be thought of as parent/child relations or other linked list arrangement)
Here's an example of how the data is currently stored:
id start finish
2 stepthree stepfour
6 stepfive stepsix
9 stepone steptwo
78 stepfour stepfive
121 steptwo stepthree
(The id numbers in this are not relevant, just using them to indicate additional columns of arbitrary data)
I want to sort/display these row in order, presuming I am always starting with "stepone", that traverses the start-> finish chain like, each "finish" being followed by the row with it as a "start".
desired output
9 stepone steptwo
121 steptwo stepthree
2 stepthree stepfour
78 stepfour stepfive
6 stepfive stepsix
There shouldn't be any branching/splits normally, just a sequential series of steps or states. I can't use simple alpha sorting (in my case the start and finish values are codes created by a customer), but can't figure out any other way to order these using SQL. I could programmatically do it using most languages, but stumped about doing it just with SQL.
Any clever ideas?
I would recommend having another table that has each step mapped to its precedence order.
Then you can write a query to sort each row in the order of precedence of the start step.
I have a flat file with the following structure (first 3 lines are information about the file content and data starts at 4th row):
ImportSourceId,ReadTime,Location
ColumnHeader1,ColumnHeader2,ColumnHeader3,ColumnHeader4,ColumnHeader5,ColumnHeader6
Unit1,Unit2,Unit3,Unit4,Unit5,Unit6
DataForColumn1,DataForColumn2,DataForColumn3,DataForColumn4,DataForColumn5,DataForColumn6
I would appreciate suggestions to import this data to a target SQL Server table using SSIS. I am thinking on these lines:
Add a connection manager. 3 columns will be created based on the
number of values in first row (ColumnHeader3 thro ColumnHeader6 are all
being treated as one column by the connection manager at this point). As I want to extract information from the first row, I can't set 'Header Rows To skip' (?).
Add a script component to read first 3 rows to a string variable and extract the data as required.
(not sure how to split the 3rd column to 3 columns at this point)
Regards,
Mohan.
Assuming the column names are always static:
When importing the file, use a flat file connection.
Skip the first 3 rows with "Header Rows to skip"
Uncheck "column names in first row"
Click "Advanced" and manually set your column names.
I have a text file with 5 columns and a variable amount of rows. What would be the easiest way to grab the first row of the text file and set 5 different variables in SSIS to the values of the 5 columns in the first row?
Define your five variables in the package, and one more for row_count.
Setup a Flat File Source.
Use Row Count component to count rows.
Use Conditional Split on row_count == 1.
Use Script Component to capture row data into variables.