I have requirement where I need to parse MuleSoft Flat File Schema to parse incoming file content, input file row to parse it and convert to Mule object. It should include parsing of multiple rows in a file with 5-7 attributes per row. I have seen many examples but no one is explaining how can we create flatFile schema to process the flat file in anypoint studio.
Could you please help me for the same.
Input file -
1220612WEBL23555606CA01
200000162608361 FFVV220606D915552982635 4TKTT0140MAZUR/ISWAR APRIL C YXYYXY /C9F6R1 MTHO DTD 0000
G002389100000000000CAD2070231 0 996AC 001 RESLE BALANCE
700CAD 0.00 NO ADC 00 0 00142152020558 Y262990535
889486594HGMRNL8785 00000000000082204CAD2 CC5 0423 0423 000000000020512 00000000000 CAD2 EX 000000
8002389 00000000000 CAD2 CA 00000000000 00000000000 00000000000
9002389 AGT6490/00 CASH
Z00625
The basic steps are simple:
Define the structure of the file. You need to understand the records
and fields of the file completely.
Convert that definition into a Flat file schema. Read the documentation, if the file has simple records structure it should be
very direct.
Use the schema in a DataWeave transformation
Flat file format are usually custom defined. It is very very unlikely that there is a tool to automatically translate it to a flat file definition since they lack delimiters and structure. You will have to read the definition of the structure and create the flat file schema manually. For that you need to understand how the flat files schemas are structured by reading the documentation. They are not complex, but you may want to start with simpler examples until you get the hang of it.
Related
I haven't used openvms for 20+ years. It was my 1st OS. I've been asked if it possible to copy the data from RMS files from openvms server to windows as a text file - so that it's readable.
No-one has experience or knowledge of the record structures etc.
The files are xyz.DAT and are relative files. I'm hoping the dat files are fixed length.
My 1st attempt would be to try and use Datatrieve (DTR) but get an error that the image isn't loaded.
Thought it might be as easy using CONVERT/FDL = nnnn.FDL - by changing the Relative to Sequential. The file seems still to be unreadable.
Is there an easy way to stream an RMS index file to a flat ASCII file?
I use to use COBOL and C to access the data in the past but had lots of libraries to help....
I've notice some solution may use odbc to connect but not sure what I can or cannot install on the server.
I can FTP using Filezilla to the server....
Another plan writing C application to read a file and output out as string.....or DCL too.....doesn't have to be quick...
Any ideas
Has mentioned before
The simple solution MIGHT be to to just use: $ TYPE/OUT=test.TXT test.DAT.
This will handle Relatie and Indexed files alike.
It is much the same as $ CONVERT / FDL=NL: test.DAT test.TXT
Both will just read records from the source and transfer the bytes, byte for byte, to the records in a sequential file.
FTP in ASCII mode will transfer that nicely to windows.
You can also use an 'inline' FDL file to generate a 'unix' LF file like:
$ conv /fdl="record; format stream_lf" test.DAT test.TXT
Or CR-LF file using:
$ conv /fdl="record; format stream" test.DAT test.TXT
Both can be transferring in Binary or Ascii with FTP.
MOSTLY - because this really only works well for TEXT ONLY source .DAT file.
There should be no CR, LF, FF or NUL characters in the source or things will break.
As 'habo' points out, use DUMP /RECORD=COUNT=3 to see how 'readable' the source data is.
If you spot 'binary' data using DUMP then you will need to find a record defintion somewhere which maps byte to Integers or Floating points or Dates as needed.
These defintions can be COBOL LIB files, or BASIC MAPS and are often stores IN the CDD (Common Data Dictionary) or indeed in DATATRIEVE .DIC DICTIONARIES
To use such definition you likely need a program to just read following the 'map' and write/print as text. Normally that's not too hard - notably not when you can find an example program on the server to tweak.
If it is just one or two 'suspect' byte ranges, then you can create a DCL loop to read and write and use F$EXTRACT to select the chunks you like.
If you want further help, kindly describe in words what kind of data is expected and perhaps provide the output from DUMP for 3 or 5 rows.
Good luck!
Hein.
I am trying to load data which is stored in .gz format in S3 to PostgreSQL server using Datastage. I am using the ODBC connector on the target (database) side. I am able to load uncompressed data from S3 to PostgreSQL but no luck with compressed data so far. I have tried the Expand Stage but it's not helping or I am not doing the right thing. Without the "Expand" the data is coming but it is trying to read the compressed data, while doing so it fails and throws an error:
Amazon_S3_0,1: com.ascential.e2.common.CC_Exception: Failed to initialize the parser: The row delimiter was not found within the first 132 bytes of the file. Ensure that the Row delimiter property matches the row delimiter of the file.
at com.ibm.iis.cc.cloud.CloudLogger.createCCException (CloudLogger.java: 196)
at com.ibm.iis.cc.cloud.CloudStage.processReadAndParse (CloudStage.java: 1591)
at com.ibm.iis.cc.cloud.CloudStage.process (CloudStage.java: 680)
at com.ibm.is.cc.javastage.connector.CC_JavaAdapter.run (CC_JavaAdapter.java: 443)
Amazon_S3_0,1: Failed to initialize the parser: The row delimiter was not found within the first 132 bytes of the file. Ensure that the Row delimiter property matches the row delimiter of the file. (com.ibm.iis.cc.cloud.CloudLogger::createCCException, file CloudLogger.java, line 196)
If someone has come across this, please share your valuable inputs.
What I want to do is the following...
I want to divide the input file into registers, convert each record into a
file and leave all the files in a directory.
My .csv file has the following structure:
ERP,J,JACKSON,8388 SOUTH CALIFORNIA ST.,TUCSON,AZ,85708,267-3352,,ALLENTON,MI,48002,810,710-0470,369-98-6555,462-11-4610,1953-05-00,F,
ERP,FRANK,DIETSCH,5064 E METAIRIE AVE.,BRANDSVILLA,MO,65687,252-5592,1176 E THAYER ST.,COLUMBIA,MO,65215,557,291-9571,217-38-5525,129-10-0407,1/13/35,M,
As you can see it doesn't have Header row.
Here is my flow.
My problem is that when the Split Proccessor divides my csv into flows with 400 lines, it isn't save in my output directory.
It's first time using NIFI, sorry.
Make sure your RecordReader controller service is configured correctly(delimiter..etc) to read the incoming flowfile.
Records per split value as 1
You need to use UpdateAttribute processor before PutFile processor to change the filename to unique value (like UUID) unless if you are configured PutFile processor Conflict Resolution strategy as Ignore
The reason behind changing filename is SplitRecord processor is going to have same filename for all the splitted flowfiles.
Flow:
I tried your case and flow worked as expected, Use this template for your reference and upload to your NiFi instance, Make changes as per your requirements.
I have a custom Extractor with AtomicFileProcessing set to false. It extracts a large no of JSON files (each line in the file is a JSON document) and output two files with successful and failed requests, both of them contains the json rows (AUs allocated more than 1 to extract the files). Problem is when I use the same extractor to extract the outputted files in first step with more than one AU, it fails with the error, Unexpected character encountered while parsing value: e. Path '', line 0, position 0.
If I assign 1 AU on Azure or run this locally with AU set to more than 1, it successfully processes the data. Is this behavior because of more AU provided to process a single JSON file and since the file is in non-splittable format, it can't be parallelized?
you can solve this problem converting your json file to Jsonlines.
http://jsonlines.org/examples/
Then you need to read the file using text extractor and use JsonFunctions available on Microsoft.Analytics.Samples.Formats
to read the json.
That transformation will make your file splittable and you can parallelized it!
I have a binary file (capture.bin) from the rtl_sdr tool. I convert it to a .cfile with this manual http://sdr.osmocom.org/trac/wiki/rtl-sdr#Usingthedata
Where can I get the data in this file? The goal is to get a numerical format output from the the source. Is this possible?
That actually is covered by a GNU Radio FAQ entry.
What is the file format of a file_sink? How can I read files produced by a file sink?
All files are in pure binary format. Just bits. That’s it. A floating point data stream is saved as 32 bits in the file, one after the other. A complex signal has 32 bits for the real part and 32 bits for the imaginary part. Reading back a complex number means reading in 32 bits, saving that to the real part of a complex data structure, and then reading in the next 32 bits as the imaginary part of the data structure. And just keep reading the data.
Take a look at the Octave and Python files in gr-utils for reading in data using Octave and Python’s Scipy module.
The exception to the format is when using the metadata file format. These files are produced by the File Meta Sink: http://gnuradio.org/doc/doxygen/classgr_1_1blocks_1_1file__meta__sink.html block and read by the File Meta Source block. >See the manual page on the metadata file format for more information about how to deal with these files.
A one-line Python command to read the entire file into a numpy array is:
f = scipy.fromfile(open("filename"), dtype=scipy.uint8)
Replace the dtype with scipy.int16, scipy.int32, scipy.float32, scipy.complex64 or >whatever type you were using.
Update
scipy.fromfile will be deprecated in v2.0 so instead use numpy library
f = numpy.fromfile(open("filename"), dtype=numpy.uint8)