Please note: this code is still alpha / pre-production. Everything here should be considered preliminary.
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ZSV/lib: a fast CSV library and extensible command-line utility
ZSVlib is a fast CSV parser library. It achieves high performance using SIMD operations, efficient memory use and other optimization techniques.
Preliminary performance results compare favorably vs other fast CSV parsers. The below were results on a pre-M1 OSX MBA; other results were usually similar though on Windows the difference was much smaller (~20%but still the same direction):
** See 12/19 update re M1 processor at https://github.com/liquidaty/zsv/blob/main/app/benchmark/README.md
zsv) is an extensible CSV utility, which uses ZSVlib, for tasks such as slicing and dicing, querying with SQL, combining, converting, serializing, flattening and more.
ZSV is streamlined for easy development of custom dynamic extensions, one of which is available here and offers added features such as statification and validation reporting, automated column mapping and transformation, and github-like capabilities for sharing and collaboration.
ZSVlib and ZSV are written in C, but since ZSVlib is a library, and ZSV extensions are just shared libraries, you can use ZSVlib with your own code in any programming language, so long as it has been compiled into a shared library that implements the expected interface.
- Available as BOTH a library and an application
- Open-source, permissively licensed
- Handles real-world CSV the same way that spreadsheet programs do (including edge cases). Gracefully handles (and can "clean") real-world data that may be "dirty"
- Runs on OSX (tested on clang/gcc), Linux (gcc), Windows (mingw), BSD (gcc-only) and in-browser (emscripten/wasm)
- Fast (maybe the fastest ever?). See app/benchmark/README.md
- Low memory usage (regardless of how big your data is)
- Easy to use as a library in a few lines of code
- Includes ZSV command-line app with batteries:
- select, count, sql query, describe, flatten, serialize and more
- Easy to extend/customize zsv with a few lines of code via modular plug-in framework. Just write a few custom functions and compile into a distributable DLL that any existing zsv installation can use
zsvare permissive licensed
- Coming soon!: free extension with added capabilities:
- generate multi-tab XLSX validation break-out reports
- generate multi-table XLSX or CSV stratifications
- automate column mapping and transformations
- create, train and share re-usable data domains using github-like features
Pre-built binaries for OSX, Windows and Linux are available at https://zsvhub.com/download
zsv runs best-- by far-- as a desktop CLI. But, you can also try out an extended ZSV version in the browser (though it runs much slower), at https://zsvhub.com/playground. A tutorial that demonstrates a small subset of the capabilities of ZSV and the ZSVHub extension is available at https://github.com/liquidaty/zsvhub-cli/blob/main/demos/covid_vaccine/README.md
Why another CSV parser / utility?
Our objectives, which we were unable to find in a pre-existing project, are:
- Reasonably high performance
- Available as both a library and a standalone executable / command-line interface utility (CLI)
- Memory-efficient, configurable resource limits
- Handles real-world CSV cases the same way that Excel does, including all edge cases (quote handling, newline handling (either \n or \r), embedded newlines, abnormal quoting (e.g. aaa"aaa,bbb...)
- Handles other "dirty" data issues:
- Assumes valid UTF8, but does not misbehave if input contains bad UTF8
- Option to specify multi-row headers
- Does not assume or stop working in the case of inconsistent numbers of columns
- Easy to use library or extend/customize CLI
There are several excellent tools that achieve high performance. Among those we considered were xsv and tsv-utils. While they met our performance objective, both were designed primarily as a utility and not a library, and were not easy enough, for our needs, to customize. This was because they were not designed for modular customizations that could be maintained (or licensed) independently of the related project (in addition to the fact that they were written in Rust and D, respectively, which happen to be languages with which we lacked deep experience). Others we considered were Miller (mlr), csvkit and Go (csv module), which did not meet our performance objective. We also considered various libraries using SIMD, but none seemed to (yet) meet the "real-world CSV" objective.
Hence zsv was created as a library and a versatile application, both optimized for speed and ease of development for extending and/or customizing to your needs
ZSV comes with several built-in commands:
echo: read CSV from stdin and write it back out to stdout. This is mostly useful for demonstrating how to use the API and also how to create a plug-in, and has some limited utility beyond that e.g. for adding/removing the UTF8 BOM, or cleaning up bad UTF8
select: re-shape CSV by skipping leading garbage, combining header rows into a single header, selecting or excluding specified columns, removing duplicate columns, sampling, searching and more
sql: run ad-hoc SQL query on a CSV file
desc: provide a quick description of your table data
pretty: format for console (fixed-width) display, or convert to markdown format
2tsv: convert CSV to JSON or TSV
serialize(inverse of flatten): convert an NxM table to a single 3x (Nx(M-1)) table with columns: Row, Column Name, Column Value
flatten(inverse of serialize): flatten a table by combining rows that share a common value in a specified identifier column
stack: merge CSV files vertically
Each of these can also be built as an independent executable.
Building and installing the CLI
./configure && sudo make install
See INSTALL.md for more details.
In addition to the above extensions, at least one third-party extensions will be made available. If you would like to add your extensions to this list, please contact the project maintainers.
Creating your own extension
You can extend ZSV by providing a pre-compiled shared or static library that defines the functions specified in
extension_template.h and which ZSV loads in one of three ways:
- as a static library that is statically linked at compile time
- as a dynamic library that is linked at compile time and located in any library search path
- as a dynamic library that is located in the same folder as the ZSV executable and loaded at runtime if/as/when the custom mode is invoked
Example and template
You can build and run a sample extension by running
make test from app/ext_example.
The easiest way to implement your own extension is to copy and customize the template files in app/ext_template
Alpha release limitations
This alpha release does not yet implement the full range of core features that are planned for implementation prior to beta release. If you are interested in helping, please post an issue.
Possible next steps:
- online "playground"
- optimize search; add search with hyperscan or re2 regex matching, possibly parallelize?
- auto-generated documentation, and better documentation in general
- Additional benchmarking. Would be great to use https://bitbucket.org/ewanhiggs/csv-game/src/master/ as a springboard to benchmarking a number of various tasks