I am developing a SSIS package, trying to update an existing SQL table from a CSV flat file. All of the columns are successfully updating except for one column. If I ignore this column on truncate, my package completes successfully. So I know this is a truncate problem and not error.
This column is empty for almost every row. However, there are a few rows where this field is 200-300 characters. My data conversion task identified this field as a DT_WSTR, but from what I've read elsewhere maybe this should be DT_NTEXT. I've tried both and I even set the DT_WSTR to 500. But none of this fixed my problem. How can I fix? What data type should this column be in my SQL table?
Error: 0xC02020A1 at Data Flow Task 1, Source - Berkeley812_csv [1]: Data conversion failed. The data conversion for column "Reason for Delay in Transition" returned status value 4 and status text "Text was truncated or one or more characters had no match in the target code page.".
Error: 0xC020902A at Data Flow Task 1, Source - Berkeley812_csv [1]: The "output column "Reason for Delay in Transition" (110)" failed because truncation occurred, and the truncation row disposition on "output column "Reason for Delay in Transition" (110)" specifies failure on truncation. A truncation error occurred on the specified object of the specified component.
Error: 0xC0202092 at Data Flow Task 1, Source - Berkeley812_csv [1]: An error occurred while processing file "D:\ftproot\LocalUser\RyanDaulton\Documents\Berkeley Demographics\Berkeley812.csv" on data row 758.
One possible reason for this error is that your delimiter character (comma, semi-colon, pipe, whatever) actually appears in the data in one column. This can give very misleading error messages, often with the name of a totally different column.
One way to check this is to redirect the 'bad' rows to a separate file and then inspect them manually. Here's a brief explanation of how to do that:
http://redmondmag.com/articles/2010/04/12/log-error-rows-ssis.aspx
If that is indeed your problem, then the best solution is to fix the files at the source to quote the data values and/or use a different delimeter that isn't in the data.
I've had this issue before, it is likely that the default column size for the file is incorrect. It will put a default size of 50 characters but the data you are working with is larger. In the advanced settings for your data file, adjust the column size from 50 to the table's column size.
I suspect the
or one or more characters had no match in the target code page
part of the error.
If you remove the rows with values in that column, does it load?
Can you identify, in other words, the rows which cause the package to fail?
It could be the data is too long, or it could be that there's some funky character in there SQL Server doesn't like.
If this is coming from SQL Server Import Wizard, try editing the definition of the column on the Data Source, it is 50 characters by default, but it can be longer.
Data Soruce -> Advanced -> Look at the column that goes in error -> change OutputColumnWidth to 200 and try again.
I've had this problem before, you can go to "advanced" tab of "choose a data source" page and click on "suggested types" button, and set the "number of rows" as much as you want. after that, the type and text qualified are set to the true values.
i applied the above solution and can convert my data to SQL.
In my case, some of my rows didn't have the same number of columns as the header. Example, Header has 10 columns, and one of your rows has 8 or 9 columns. (Columns = Count number of you delimiter characters in each line)
If all other options have failed, trying recreating the data import task and/or the connection manager. If you've made any changes since the task was originally created, this can sometimes do the trick. I know it's the equivalent of rebooting, but, hey, if it works, it works.
I have same problem, and it is due to a column with very long data.
When I map it, I changed it from DT_STR to Text_Stream, and it works
In the destination, in advanced, check that the length of the column is equal to the source.
OuputColumnWidth of column must be increased.
Path: Source Connection manager-->Advanced-->OuputColumnWidth
Related
I am accessing a SSAS DMV through Power Query in Excel via:
let
Source = AnalysisServices.Database(TabularServerName, TabularDBName,
[Query="select * from $SYSTEM.TMSCHEMA_EXPRESSIONS"])
in
Source
This works great in Power BI, but in Excel, the Expression column is limited to a max of 1024 characters. How do I get Power Query in Excel to give me the entire value? My largest values are around 15000 characters, so still within the stated limits of Power Query that I can find.
If I set up a table with a connection and query behind it, Excel can pull in the entire Expression column, but the downside is the server and database cannot be parameterized and have to be manually changed in the connection. Also I don't remember how to do this manually, so I always have to access the DMV from DAX Studio and export to Excel to set it up!
Update
I did some heavy transformations of this column. I parsed out a value, I used it to merge the file with itself and add a column that I then did a bunch of transformations on, and then used it to replace text within the original problem column. And something in that pulled in the whole value. I tried just doing small parts of this, like adding a column that referenced the problem column, or doing a replace in the problem column, and none of that worked.
So, no, not easy to duplicate or figure out which step fixed it, but for my purposes, I now have what I need.
I think it is related to the type of the column your are loading in Excel. I had the same issue and read your answer (with Table.ReplaceValue).
Your solution is hiding the initial point : The function used in the expression you shared for Table.ReplaceValue() is Replacer.ReplaceText that as the additional specificity to convert a field of type Any
to type Text.
I tried to juste change the type of my field that was truncated when loaded in Excel, from type Any to type Text. Result : the complete values were then loaded in my worksheet.
I had to change this query today, and after I changed it, the values were truncated again. I added a Replace Value step at the end of the query on the truncated column and that seemed to fix it.
#"Replaced Value" = Table.ReplaceValue(#"Last Step","in ","in ",Replacer.ReplaceText,{"Truncated Column Name"})
in
#"Replaced Value"
I am retrieving data through Power Query from an Oracle DB live to an Excel workbook. In PQ, under the "Transform" tab, there is a function to change the data type of a column, that I use to get all the decimal numbers displayed. In the M-code the function is called TransformColumnTypes. However I have some strings in the data that I cannot change to decimal number and produce an error. Is there a way to exclude these? Because the function takes the whole column at the moment.
Before applying function
Function producing error
Code
I don't think so. If you have multiple types within a column, text is the only one that doesn't produce errors.
But if it is only the first row like in your image, promoting it to header before setting the column type will fix the issue.
When I export public weather data from https://www1.ncdc.noaa.gov/pub/data/uscrn/products/subhourly01/2017/CRNS0101-05-2017-TX_Austin_33_NW.txt, as soon as solar radiation > 9, all of my data for the remaining columns gets lumped into a single column, as shown below. I have tried uploading as txt and csv and the problem still exists in excel, sheets, and dataprep.
Why is this happening?
Is there a programmatic way to fix this so that the data populates as intended, with 1 value per column?
It is likely because the initial data structure is not detected correctly. This can happen if the first rows of your dataset have a different structure than the remaining rows.
To solve this problem in Dataprep, you can indicate how the dataset should be structured by following these steps:
Go to the flow view
Right click on the dataset and choose "remove structure..."
Open the recipe
Insert a split row step:
splitrows col: column1 on: '\n'
Split the column using a whitespace regex (for e.g., /\s+/)
splitpatterns col: column1 type: on on: /\s+/ limit: 22
(you can copy and paste the following command inside the search input when you create a new step)
Here is what you should get:
Note: it is also possible to prevent the initial structure detection when importing a dataset. See https://cloud.google.com/dataprep/docs/html/Remove-Initial-Structure_136154971
I'm trying to read an Excel sheet from an XLS or XLSX file in memory using Delphi 7. When possible I use automation to read the cells one by one, but when Excel is not installed, I revert to using the ADO/ODBC Jet driver.
I connect using either
Provider=Microsoft.Jet.OLEDB.4.0; Data Source=file.xls;Extended Properties="Excel 8.0;Persist Security Info=False;IMEX=1;HDR=No";
Provider=Microsoft.ACE.OLEDB.12.0; Data Source=file.xlsx;Extended Properties="Excel 12.0;Persist Security Info=False;IMEX=1;HDR=No";
My problem then is that when I use the following query:
SELECT * FROM [SheetName$]
the returned results do not contain the empty rows or empty columns, so if the sheet contains such rows or columns, the following cells are shifted and do not end up in their correct position. I need the sheet to be loaded "as is", ie know exactly from what cell position each value comes from.
I tried to read the cells one by one by issuing one query of the form
SELECT F1 FROM `SheetName$A1:A1`
but now the driver returns an error saying "There is data outside the selected region". btw I had to use backticks to enclose the name because using brackets like this [SheetName$A1:A1] gave out a syntax error message.
Is there a way to tell the driver to select the sheet as-is, whithout skipping blanks? Or maybe a way to know from which cell position each value is returned?
For internal policy reasons (I know they are bad but I do not decide these), it is not possible to use a third party library, I really need this to work from standard Delphi 7 components.
I assume that if your data is say in the range B2:D10 for example, you want to include the column A as an empty column? Maybe? Is that correct? If that's the case, then your data set, when you read the sheet (SELECT * FROM [SheetName$]) would also return 1 million rows by 16K columns!
Can you not execute a query like: SELECT * FROM [SheetName$B2:D10] and use the ADO GetRows function to get an array - which will give you the size of the data. Then you can index into the array to get what data you want?
OK, the correct answer is
Use a third party library no matter what your boss says. Do not even
try ODBC/ADO to load arbitrary Excel files, you will hit a wall sooner or later.
It may work for excel files that contain a single data table, but not when you want to cherry pick data in a sheet primarily made for human consumption (ie where a single column contains some cells with introductory text, some with numerical data, some with comments, etc...)
Using IMEX=1 ignores empty lines and empty columns
Using IMEX=0 sometimes no longer ignores empty lines, but now some of the first non empty cells are considered field names instead of data, although HDR=No. Would not work anyway since valules in a column are of mixed types.
Explicitly looping across cells and making a SELECT * FROM [SheetName$A1:A1] works until you reach an empty cell, then you get access violations (see below)
Access violation at address 1B30B3E3 in module 'msexcl40.dll'. Read of address 00000000
I'm too old to want to try and guess the appropriate value to use so it works until someone comes with yet another mix of data in a column. Sorry for having wasted everybody's time.
33266500,332665100,332665200,332665300 was the original value, cell should look like this: 33266500,332665100,332665200,332665300 but what I see as the cell value in excel is 3.32665E+34
So the question is I want to convert it into the original string. I have found format function on google and I used it like these
format(3.32665E+34,"standard")
giving it as 332,6650,033,266,510,000,000,000
How to parse it or get back the orginal string? I belive format is the function in vba.
Excel has a 15 digit precision limit. If the numbers are already shown like this when you access the file, there is no way to get the number back - you have already lost some digits. VBA code and formulas will not help you.
If this is not the case, you can add a single quote ' mark before the number to store it as text. This will ensure Excel does not try to treat it as a number and thus lose precision.
If you want the value kept exactly, store the data as a string, not as a number. The data type you are using simply doesn't have the ability to do what you are asking it to do.
If you're starting with an Excel file that has already been created then you've already lost the information: Excel has tried to understand what it was given and its best guess has turned out to be wrong. All you can do (if you can't get the source data) is go back to the creator of the Excel file and tell them what's wrong.
If you're starting with, say, a text file that you're importing, then the news is much better:
If you're importing manually using the Text Import Wizard, then at "Step 3 of 3" you need to set "Column Data Format" for the problem field to "Text".
If you're using a macro, you'll need to specify a value for the TextFileColumnDataTypes property that does the same thing. The easiest way to get it right is to use the Macro Recorder.
If you want the four values in the string to be separate cells, then again, look at the Text Import Wizard settings: in Step 1 of 3 you need to set "Delimited" data type (usually the default) and in Step 2 make sure that "Comma" is checked.
The value needs to be entered into the cell as a string. You need to make whatever it is that inserts the value preceed the value with a '.