The CSV/TSV Validator and Transformer is a high-performance tool designed to validate and transform large CSV/TSV files in near real-time. Its currently in the proof-of-concept phase, and this repository reflects the initial development efforts.
The intent behind providing these two features in DEX is to ensure CSV files are parseable by downstream big-data processing systems elsewhere in the CDC, such as those built on top of DataBricks. By checking structural validation of CSV files, DEX can rapidly (within seconds in many cases) respond to a sending organization with CSV validation errors and warnings. Doing so gives that sender rapid feedback about why their CSV file isn't parseable. Faster resolution of certain data quality issues related to the structure of the files being sent is ideal, as opposed to waiting hours or days for a batch processing job.
-
CSV/TSV validation - The validator, which checks the files for their adherence to the rules set forth in RFC 4180. The CSV validator does not validate field content, header fields or data types at this point. Each validated row is assigned:
- File UUID: Each processed file is assigned a unique
uuid
that is used to link rows to its originating file. This will enable downstream consumers to track back rows to its source file. - Row UUID: Each row is assigned unique
uuid
during validation. This ensure that every row can be uniquely referenced. - SHA-256 Row Hashing: The content of each row is hashed using
SHA-256
algorithm to provide ability of detecting duplicates and ensure data integrity throughout the data pipeline.
- File UUID: Each processed file is assigned a unique
-
CSV/TSV transformer - The transformer, which generates a JSON object for each row in the file. If the optional header is present, then the header specification is used to populate the JSON property names.
-
Encoding Detection - If encoding is not specified in the optional command line argument
config.json
, the tool will sample the file for up to 1024 bytes, and attempt toauto-detect
the file's encoding (with best effort accuracy). Suppported encodings are:UTF-8
UTF-8 with BOM
USASCII
ISO-8859-1
Windows1252
-
Delimiter Detection - If the delimiter is not provided in optional
config.json
command file flag, the tool will sample the file up to 1024 bytes of data, and will attempt toauto-detect
delimiter. Supported delimiters include:,
(comma)\t
(tab)
-
Go (1.22.0 or higher)
Install
Go
following the instructions at golang.org
- Clone the repository:
Note: If you want specify name of binary and path explicitly
git clone https://github.com/CDCgov/data-exchange-csv.git cd data-exchange-csv cd cmd go build
go build -o name.exe
.
The DEX CSV Validator and Transformer accepts following command-line flags:
-
-fileURL:
[Required] The path to the file that will be validated. -
-destination:
[Required] The path to the folder where validation/transformation results will be stored. -
-debug:
[Optional] If true,debug-level
logs will be generated. -
-log-file:
[Optional] If true, logs will be written to logs/validation.json, default is stdout. -
-transform:
[Optional] If true, the valid rows will be transformed to aJSON
object. -
-config:
[Optional] The path to theconfig.json
. If provided, overrides auto-detection of encoding and separator.{ "encoding": "UTF-8", "separator": ",", "hasHeader": true }
Process the CSV/TSV
file with required fields:
.\validator.exe -fileURL="/file.csv" -destination="C:\destination"
Process the CSV/TSV
file with optional fields:
.\validator.exe -fileURL="/file.csv" -destination="C:\destination" -transform=true -log-file=true
Process the CSV/TSV
file with optional config.json
file:
.\validator.exe -fileURL="/file.csv" -destination="C:\destination" -config="data/config.json"
- Navigate to the project's root directory
- Run the following command
Note: If you want to see more detailed output you can add
go test ./...
-v
flag.
- Non-blocking validation/transformation: Currently, the validation process is performed synchronously, which may introduce delays when processing large files. To address this, we are exploring the use of Go routines to parallelize the validation and transformation process. By leveraging concurrency, we aim to significantly improve performance and reduce processing time.
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