i need to combine two sources into a single sink file with keeping the schema per row. Example:
File 1
Column 1
Column 2
Column 3
Column 4
A
B
C
D
File 2
Column 1
Column 2
J
K
Output File
A, B, C, D
J, K
No need to header row.
Each column separated by a comma
Each row keep it's structure/schema:
Thanks for help
#Kd85 As per your comment, You want to combine 2 CSV files and store output in .txt file.
If you are using Binary dataset as Sink in copy activity, you can only copy from Binary dataset.
Please Refer - https://learn.microsoft.com/en-us/azure/data-factory/format-binary
You can simply use a Union activity in your dataflow.
Choose Output to single file in the sink settings.
Result txt:
Related
I am trying to merge the 2 csv files(in Azure data factory) which has different schema. Below is the scenario
CSV 1: 15 columns -> say 5 dimensions and 10 metrices(x1, x2,...x10)
CSV 2: 15 columns -> 5 dimensions(same as above) and 10 metrices(different from above, y1, y2...y10)
So my schema is different. Now I have to merge both CSV files so that only 5 dimensions comes with all 20 metrices.
I tried with Data Transformation using Select operation. That is giving me 2 rows in the merged file. One row with first 5 dimensions and 10 metrices and second row with next 5 dimensions and 10 metrices, which is incorrect as I am looking only for one row with 5 dimensions and all 20 metrics(x1,x2...x10, y1,y2...y10)
Any help is much appreciated on this issue
Thank you #sac for the update and thank you #Joel Cochran, for the suggestion. Posting it as an answer to help other community members.
Use Join transformation and Join type as Inner join. Use Key columns or common columns (dimension columns) from 2 Input files as your Join condition. This will output all columns from file1 and file2.
Use Select transformation to get the required select list from the join output.
Refer below process for implementation:
(i) Join 2 source files, with inner join and key columns in the join condition.
(ii) Output of Join transformation will list all the columns from source1 and all columns from source2 (includes duplicate key columns from both source files).
(iii) Use select transformation and remove duplicate (or not required in select list) columns from the Join output.
(iv) Output of Select transformation.
i have as solution which goes like
df1 -->dataframe 1 with having 50 columns of data
df2 --->datarame 2 having footer/trailer 3 columns of data like Trailer,count of rows,date
so i added the remaining 47 columns as "","",""..... so on
so that i can union 2 dataframe:
df3=df1.union(df2)
now if i want to save
df3.coalesce(1).write.format("com.databricks.spark.csv")\
.option("header","true").mode("overwrite")\
.save(output_blob_path);
so now i am getting the footer as well
like this Trailer,400,20210805,"","","","","","","".. and so on
if any one can suggest how to remove ,"","","",.. these double quotes from the last row
where i want to save this file in blob container.
it would be very helpful
You can try to define structure of data frame to treat entire row as single column for both the files and then perform union. This way you no need to add extra columns on data frame 2 and then struck in to tricky situation to remove extra columns after union.
I've got this type of data in my Database. Imagine that File_Name is the column name and so I need to take all the rows (Under "File_name") and put them into different columns with different Names.
File_Name (Column Name)
File1 (First Row)
File2 (Second Row)
File3 (Third Row)
And I need to put them in another file like this:
File_Name1 (Column Name1) ,File_Name2 (Column Name2), File_Name3 (Column Name3)
File1 (Under First column), File2 (Under Second Column), File3 (Under Third column)
Is there a stage that can help me? I tried using the Pivot but I can't really figure how to set it with just one input column.
So assuming you just want a single result row from your input (that is what I understood from your question) I would use a Transformer (or Column Generator) to add an artificial column with a value of 1 for all rows.
You tried already with the Pivot Enterprise stage and with that additional column it will be possible to transform it into the result you need.
I am trying to achieve column merge of files in a folder using Talend.(Files are local)
Example:- 4 files are there in a folder. ( there could be 'n' number of files also)
Each file would have one column having 100 values.
So after merge, the output file would have 4 or 'n' number of columns with 100 records in it.
Is it possible to merge this way using Talend components ?
Tried with 2 files in tmap , the output records becomes multiplied ( the record in first file * the record in second file ).
Any help would be appreciated.
Thanks.
You have to determine how to join data from the different files.
If row number N of each file has to be matched with row number N of the other files, then you must set a sequence on each of your file, and join the sequences in order to get your result. Careful, you are totally depending on the order of data in each file.
Then you can have this job :
tFileInputdelimited_1 --> tMap_1 --->{tMap_5
tFileInputdelimited_2 --> tMap_2 --->{tMap_5
tFileInputdelimited_3 --> tMap_3 --->{tMap_5
tFileInputdelimited_4 --> tMap_4 --->{tMap_5
In tMaps from 1 to 4, copy the input to the output, and add a "sequence" column (datatype integer) to your output, populate it with Numeric.sequence("IDENTIFIER1",1,1) . Then you have 2 columns in output : your data and a unique sequence.
Be careful to use different identifiers for each source.
Then in tMap_5, just join the different sequences, and get your inputColumn.
I am trying to move data from a CSV file to DB table. There are 2 delimited columns in the CSV file (separated by ";"). I would like to create a row for each of the delimited values at matching indexes as shown below. Assumption is that both columns will contain same number of delimited items.
Example CSV Input:
Labels Values
A;B;C 1;2;3
D 4
F;G 5;6
Expected Output:
Labels Values
A 1
B 2
C 3
D 4
E 5
F 6
How can I achieve this? I have tried using tNormalize but this only works for a single column. Also I tried 2 successive tNormalize nodes but as expected it resulted in unwanted combinations.
Thanks
Read your CSV file with a tfileinputdelimited, and
define your schema for the file.
Assuming you are using MySQL , also drop a tMysqlOutput component on you desinger to save your parsed file to the DB.