Dataprep : Invalid array type after run job to excel file - google-cloud-dataprep

I try to use array type column in dataprep and it is look good in dataprep display ui as the picture below.
But when I run job output with .csv file, there are invalid value in the array column.
Why does the .csv output different from dataprep display?
Array in Dataprep display
Array in csv output

It looks like these two columns each contain the complete record...? I also see some non-English characters in there. I suspect something to do with line breaks and/or encoding.
What do you see if you open the CSV file in a plaintext editor, instead of Excel?
What edition of Dataprep are you using (click Help => About Dataprep => see the Edition heading)?
What version of Excel are you using to open the CSV file?
Assuming that this is a straight-forward flow with a single dataset and recipe, could you post a few rows of data and the recipe itself (which you can download), for testing purposes?

Related

How to check if the file contains certain values before reading in Talend Studio

Hello beginner in Talend Studio here and first time poster. I am using Talend 8.0 and have a text file to ingest into a database that has the following:
H2||ID||portfolio||manager||name
D||5||8001-1101||48||John Doe
D||6||8001-1102||50||John Doe
D||7||8002-1101||20||Jane Doe
F3||||||||
where the delimiter is a double pipe (||)
ID, portfolio, manager and name and its associated records are the data I'd like to ingest. The first column with "H2", "D" and "F3" are the header, detail and footer indicators respectively. These indicators are not supposed to be ingested but will need to be checked for their presence when the file is read into talend studio.
I need to check if these three indicators are available in the file. If either of these indicators are not in the file, it should not ingest the file and output a message. If the indicators do exist, the data is ingested but only the data for the columns "ID","portfolio","manager" and "name"
I tried using the following components:
Which will read the table in its entirety including the H2 column. I then use t-map with a filter
row1.Header.contains("D")
which keeps rows that has "D" indicator. Appreciate if there is a better way to do this
Use row1.Header.contains("D")&&row1.Header.contains("H2")&&row1.Header.contains("F3") to filter header in ("D","H2","F3")
If you want the reject check the option in an other output and check output reject to true

Skip lines while reading csv - Azure Data Factory

I am trying to copy data from Blob to Azure SQL using data flows within a pipeline.
Data Files is in csv format and the Header is at 4th row in the csv file.
i want to use the header as is what is available in the csv data file.
I want to loop through all the files and upload data.
Thanks
Add a Surrogate Key transformation and then a Filter transformation to filter out row number 4.
You need to first uncheck the "First row as header" in your CSV dataset. Then you can use the "Skip line count" field in the copy data activity source tab and skip any number of lines you want.

how to export large numbers from HeidiSQL to csv

I use HeidiSQL to manage my database.
When I export grid row to CSV format file, the large number 89610185002145111111 become 8.96102E+19
How can I keep the number without science notation conversion?
HeidiSQL does not do such a conversion. I tried to reproduce but I get the unformatted number:
id;name
89610185002145111111;hey
Using a text editor, by the way. If you use Excel, you may have to format the cell in a different format.

TalendOpenStuido DI Replace content of one column of .slx File with another column of .csv file

I have two input files:
an .xlsx file that looks like this:
an .csv files that looks like this:
I already have a talend job that transforms the .xlsx file into an .xml file.
One node in the .xml file contains the
<stockLocationCode>SL213</stockLocationCode>
The output .xml file looks like this:
Now I need to replace every occurence of the stockLocationCode with the second column of the .csv file. In this case the result would be:
My talend job looks like this:
I use a tMap component to put the columns of the .xlsx file into the right node of the output xml file.
But I do not know how I can peplace the StockLocactionCode with the acutal full stock location using the .csv file. I tired to also map the .csv file with the tMap component.
I would neet to build in a methof that looks at the current value of the node <stockLocationCode> and loops over the whole .csv file until it find it in the first column of the .csv file and then replace the <stockLocationCode> content with the content of the second column of the .csv file.
Performance is not important ;)
First, you'll need a lookup in e.g. a tMap or tXMLMap component, where you map your keys and add a new column with the second column of the csv file
The resulting columns would look like this:
Product; Stock Location Code; CSV 2nd column data
Now in a second map you could just remove the stock location code and do the rest of your job.
Voila, you exchanged the columns.
u can use tXMLMap which lookup

Perl - Scanning CSV files for rows that match user-specified criteria?

I am trying to write/learn a simple Perl parser for some CSV files that I have and I need some help.
In a directory I have a series of date-indexed CSV files in the form of Text-Date.csv. The date is in the form of Month-DD-YYYY (ex., January-07-2011). For each weekday there is a CSV file generated.
The Perl script should open each file look for a particular row that matches a user-entered criteria and return that row. Each row is stock price data with different stocks in different rows. What the script should do is return the price of a particular stock (ex., IBM) across all dates that CSVs are generated.
I have the parser working for a specific CSV/date that I choose, but I want to be able to pluck out the row in all CSVs. Also when I print the IBM price for each dated CSV I want to display the date next to the price (ex., January-07-2011 IBM 147.93).
Can you help me get this done?
If your question is how to crawl a bunch of files and run some function on each one, you probably want File::Find. To parse CSV, definitely use Text::xSV and not a custom parser. There is more to parsing CSV than calling split(",").
To parse CSV files, use the Text::CSV module.
It is more complex to decide how you are going to apply the criteria - you'll need to determine what the user specifies and work out how to translate that into Perl code that evaluates the condition correctly.