NOTE: qsv is a fork of the popular xsv utility, merging several pending PRs since xsv 0.13.0's release. It also has numerous new features & 52 additional commands/subcommands/operations (for a total of 72).
See FAQ for more details.
| Command | Description |
| --- | --- |
| apply[^1] | Apply series of string, date, currency & geocoding transformations to a CSV column. It also has some basic NLP functions (similarity, sentiment analysis, profanity, eudex & language detection). |
| behead | Drop headers from a CSV. |
| cat | Concatenate CSV files by row or by column. |
| count[^2] | Count the rows in a CSV file. (Instantaneous with an index.) |
| dedup[^3] | Remove redundant rows. |
| enum | Add a new column enumerating rows by adding a column of incremental or uuid identifiers. Can also be used to copy a column or fill a new column with a constant value. |
| excel | Exports a specified Excel/ODS sheet to a CSV file. |
| exclude[^2] | Removes a set of CSV data from another set based on the specified columns. |
| explode | Explode rows into multiple ones by splitting a column value based on the given separator. |
| fetch | Fetches HTML/data from web pages or web services for every row in a URL column. Comes with jql JSON query language support and optional Redis response caching. |
| fill | Fill empty values. |
| fixlengths | Force a CSV to have same-length records by either padding or truncating them. |
| flatten | A flattened view of CSV records. Useful for viewing one record at a time.
e.g. qsv slice -i 5 data.csv \| qsv flatten. |
| fmt | Reformat a CSV with different delimiters, record terminators or quoting rules. (Supports ASCII delimited data.) |
| foreach[^1] | Loop over a CSV to execute bash commands. (not available on Windows) |
| frequency^2 | Build frequency tables of each column. (Uses multithreading to go faster if an index is present.) |
| generate[^1] | Generate test data by profiling a CSV using Markov decision process machine learning. |
| headers | Show the headers of a CSV. Or show the intersection of all headers between many CSV files. |
| index | Create an index for a CSV. This is very quick & provides constant time indexing into the CSV file. Also enables multithreading for frequency, split, stats and schema commands. |
| input | Read CSV data with special quoting, trimming and line-skipping rules. |
| join[^2] | Inner, outer, cross, anti & semi joins. Uses a simple hash index to make it fast. |
| jsonl | Convert newline-delimited JSON (JSONL/NDJSON) to CSV.
| lua[^1] | Execute a Lua script over CSV lines to transform, aggregate or filter them. Embeds Lua 5.4.4. |
| partition | Partition a CSV based on a column value. |
| pseudo | Pseudonymise the value of the given column by replacing them with an incremental identifier. |
| py[^1] | Evaluate a Python expression over CSV lines to transform, aggregate or filter them. Python's f-strings is particularly useful for extended formatting (Python 3.8+ required). |
| rename | Rename the columns of a CSV efficiently. |
| replace | Replace CSV data using a regex. |
| reverse[^3] | Reverse order of rows in a CSV. Unlike the sort --reverse command, it preserves the order of rows with the same key. |
| sample[^2] | Randomly draw rows (with optional seed) from a CSV using reservoir sampling (i.e., use memory proportional to the size of the sample). |
| schema[^4] | Infer schema from CSV data and output in JSON Schema format. Uses multithreading to go faster if an index is present. See validate command. |
| search | Run a regex over a CSV. Applies the regex to each field individually & shows only matching rows. |
| searchset | Run multiple regexes over a CSV in a single pass. Applies the regexes to each field individually & shows only matching rows. |
| select | Select, re-order, duplicate or drop columns. |
| slice^2 | Slice rows from any part of a CSV. When an index is present, this only has to parse the rows in the slice (instead of all rows leading up to the start of the slice). |
| sniff | Quickly sniffs CSV details (delimiter, quote character, number of columns, data types, header row, preamble rows). |
| sort | Sorts CSV data in alphabetical, numerical, reverse or random (with optional seed) order. |
| split^2 | Split one CSV file into many CSV files of N chunks. (Uses multithreading to go faster if an index is present.) |
| stats^2[^4] | Infer data type & compute descriptive statistics for each column in a CSV (sum, min/max, min/max length, mean, stddev, variance, quartiles, IQR, lower/upper fences, skew, median, mode, cardinality & nullcount). Uses multithreading to go faster if an index is present. |
| table[^3] | Show aligned output of a CSV using elastic tabstops. |
| transpose[^3] | Transpose rows/columns of a CSV. |
| validate[^5] | Validate CSV data with JSON Schema (See schema command). If no jsonschema file is provided, validates if a CSV conforms to the RFC 4180 standard. |
Pre-built binaries for Windows, Linux and macOS are available from GitHub.
There are two versions of qsv. qsvlite has all features disabled. qsv supports features, with the pre-built binaries
enabling all valid platform features[^6].
Alternatively, you can compile from source by
installing Cargo
(Rust's package manager)
and installing qsv using Cargo:
bash
cargo install qsv
If you encounter compilation errors, ensure you're using the exact version of the dependencies qsv was built with by issuing:
bash
cargo install qsv --locked
Compiling from this repository also works similarly:
```bash git clone git@github.com:jqnatividad/qsv.git cd qsv cargo build --release
cargo build --release --locked ```
The compiled binary will end up in ./target/release/.
To enable optional features, use cargo --features (see Feature Flags for more info):
```bash cargo install qsv --features apply,generate,lua,fetch,foreach,python
cargo install qsv --features lite
cargo build --release --features apply,generate,lua,fetch,foreach,python
cargo build --release --features lite ```
access to a native python interpreter for those platforms (aarch64, i686, and arm) on GitHub's action runners. Compile natively on those platforms with Python 3.8+ installed, if you want to enable the python feature.
Building qsv requires Rust stable - currently version 1.60.0.
qsv's command-line options are quite extensive. Thankfully, since it uses docopt for CLI processing, we can take advantage of docopt.rs' tab completion support to make it easier to use qsv at the command-line (currently, only bash shell is supported):
```bash
cargo install docopt
echo "DOCOPTWORDLISTBIN=\"$(which docopt-wordlist)"\" >> $HOME/.bashcompletion echo "source \"$(pwd)/scripts/docopt-wordlist.bash\"" >> $HOME/.bashcompletion echo "complete -F docoptwordlistcommands qsv" >> $HOME/.bashcompletion ```
qsv recognizes UTF-8/ASCII encoded, CSV (.csv) and TSV files (.tsv and .tab). CSV files are assummed to have "," (comma) as a delimiter,
and TSV files, "\t" (tab) as a delimiter. The delimiter is a single ascii character that can be set either by the --delimiter command-line option or
with the QSV_DEFAULT_DELIMITER environment variable or automatically detected when QSV_SNIFF_DELIMITER is set.
When using the --output option, note that qsv will UTF-8 encode the file and automatically change the delimiter used in the generated file based on the file extension - i.e. comma for .csv, tab for .tsv and .tab files.
JSONL/NDJSON files are also recognized and converted to CSV with the jsonl command.
The fetch command also produces JSONL files when its invoked without the --new-column option.
The excel command recognizes Excel and Open Document Spreadsheet(ODS) files (.xls, .xlsx, .xlsm, .xlsb and .ods files).
qsv requires UTF-8 encoded (of which ASCII is a subset) input files. On startup, it scans the input if it's UTF-8 encoded, and will abort if its not unless QSV_SKIPUTF8_CHECK is set. On Linux and macOS, UTF-8 encoding is the default. Should you need to reencode CSV/TSV files, there are several utilities you can use to do so on Linux/macOS and Windows.
Unlike other modern operating systems, Windows' default encoding is UTF16-LE. This will cause problems when redirecting qsv's output to a CSV file and trying to open it with Excel (which ignores the comma delimiter, with everything in the first column):
qsv stats wcp.csv > wcpstats.csv
Which is weird, since you would think Microsoft Excel would properly recognize UTF16-LE encoded CSV files. Regardless, to create a properly UTF-8 encoded file, use the --output option instead:
qsv stats wcp.csv --output wcpstats.csv
QSV_DEFAULT_DELIMITER - single ascii character to use as delimiter. Overrides --delimeter option. Defaults to "," (comma) for CSV files and "\t" (tab) for TSV files, when not set. Note that this will also set the delimiter for qsv's output to stdout. However, using the --output option, regardless of this environment variable, will automatically change the delimiter used in the generated file based on the file extension - i.e. comma for .csv, tab for .tsv and .tab files.QSV_SNIFF_DELIMITER - when set, the delimiter is automatically detected. Overrides QSV_DEFAULT_DELIMITER and --delimiter option.QSV_NO_HEADERS - when set, the first row will NOT be interpreted as headers. Supersedes QSV_TOGGLE_HEADERS.QSV_TOGGLE_HEADERS - if set to 1, toggles header setting - i.e. inverts qsv header behavior, with no headers being the default, and setting --no-headers will actually mean headers will not be ignored.QSV_AUTOINDEX - when set, automatically create an index when none is detected. Also automatically updates stale indices.QSV_SKIPUTF8_CHECK - when set, skip UTF-8 encoding check. Otherwise, qsv scans the first 8k of files. For stdin, it scans the entire buffer.QSV_MAX_JOBS - number of jobs to use for multithreaded commands (currently frequency, split, schema and stats). If not set, max_jobs is set
to the detected number of logical processors. See Multithreading for more info.QSV_REGEX_UNICODE - if set, makes search, searchset and replace commands unicode-aware. For increased performance, these
commands are not unicode-aware and will ignore unicode values when matching and will panic when unicode characters are used in the regex.QSV_RDR_BUFFER_CAPACITY - set to change reader buffer size (bytes - default when not set: 16384)QSV_WTR_BUFFER_CAPACITY - set to change writer buffer size (bytes - default when not set: 65536)QSV_COMMENT_CHAR - set to a comment character which will ignore any lines (including the header) that start with this character (default: comments disabled).QSV_LOG_LEVEL - set to desired level (default - off, error, warn, info, trace, debug).QSV_LOG_DIR - when logging is enabled, the directory where the log files will be stored. If the specified directory does not exist, qsv will attempt to create it. If not set, the log files are created in the directory where qsv was started. See Logging for more info.QSV_NO_UPDATE - prohibit self-update version check for the latest qsv release published on GitHub.QSV_REDIS_CONNECTION_STRING - the fetch command can use Redis to cache responses. By default it connects to redis:127.0.0.1:6379. Set to connect to another Redis instance.QSV_REDIS_TTL_SECONDS - by default, Redis cached values have a time-to-live of 2,419,200 seconds (28 days).QSV_REDIS_TTL_REFRESH- set to enable cache hits to refresh TTL of cached values.Several dependencies also have environment variables that influence qsv's performance & behavior:
fetch, validate and --update functions and will honor proxy settings set through HTTP_PROXY, HTTPS_PROXY and NO_PROXY.NOTE: To get a list of all qsv-relevant environment variables, run
qsv --envlist.
qsv has several features:
mimalloc (default) - use the mimalloc allocator (see Memory Allocator for more info).apply - enable apply command. This swiss-army knife of CSV transformations is very powerful, but it has a lot of dependencies that increases both compile time and binary size. fetch - enable fetch command.generate - enable generate command.lite - enable to build qsvlite.The following "power-user" commands can be abused and present "foot-shooting" scenarios.
* lua - enable lua command.
* foreach - enable foreach command (not valid for Windows).
* python - enable py command (requires Python 3.8+). Note that qsv will automatically use the currently activated python version when run in a virtual environment.
NOTE:
qsvlite, as the name implies, always has non-default features disabled.qsvcan be built with any combination of the above features using the cargo--features&--no-default-featuresflags. The pre-builtqsvbinaries has all applicable features enabled for the target platform[^6].
Modern CPUs have various features that the Rust compiler can take advantage of to increase performance. If you want the compiler to take advantage of these CPU-specific speed-ups, set this environment variable BEFORE installing/compiling qsv:
On Linux and macOS:
bash
export CARGO_BUILD_RUSTFLAGS='-C target-cpu=native'
On Windows Powershell:
powershell
$env:CARGO_BUILD_RUSTFLAGS='-C target-cpu=native'
Do note though that the resulting binary will only run on machines with the
same architecture as the machine you installed/compiled from.
To find out your CPU architecture and other valid values for target-cpu:
```bash rustc --print target-cpus
rustc --print cfg | grep -i target_feature
rustc --print cfg -C target-cpu=native | grep -i target_feature
rustc --print target-features ```
By default, qsv uses an alternative allocator - mimalloc,
a performance-oriented allocator from Microsoft.
If you want to use the standard allocator, use the --no-default-features flag
when installing/compiling qsv, e.g.:
bash
cargo install qsv --path . --no-default-features
or
bash
cargo build --release --no-default-features
To find out what memory allocator qsv is using, run qsv --version. After the qsv version number, the allocator used is displayed ("standard" or "mimalloc"). Note that mimalloc is not supported on the x86_64-pc-windows-gnu and arm targets, and you'll need to use the "standard" allocator on those platforms.
Depending on your filesystem's configuration (e.g. block size, file system type, writing to remote file systems (e.g. sshfs, efs, nfs), SSD or rotating magnetic disks, etc.), you can also fine-tune qsv's read/write buffers.
By default, the read buffer size is set to 16k, you can change it by setting the environment
variable QSV_RDR_BUFFER_CAPACITY in bytes.
The same is true with the write buffer (default: 64k) with the QSV_WTR_BUFFER_CAPACITY environment variable.
Several commands support multithreading - stats, frequency, schema, split (when an index is available, using threadpool) and validate (no index required, using rayon).
qsv will automatically spawn parallel jobs equal to the detected number of logical processors. Should you want to manually override this, use the --jobs command-line option or the QSV_MAX_JOBS environment variable.
To find out your jobs setting, call qsv --version. The second to the last number is the number of jobs qsv will use for multithreaded commands. The last number is the number of logical processors detected by qsv.
Use and fine-tune the benchmark script when tweaking qsv's performance to your environment. Don't be afraid to change the benchmark data and the qsv commands to something that is more representative of your workloads.
Use the generated benchmark TSV files to meter and compare performance across platforms. You'd be surprised how performance varies
across environments - e.g. qsv's join performs abysmally on Windows's WSL running Ubuntu 20.04 LTS, taking 172.44 seconds.
On the same machine, running in a VirtualBox VM at that with the same Ubuntu version, join was done in 1.34 seconds -
two orders of magnitude faster!
However, stats performs two times faster on WSL vs the VirtualBox VM - 2.80 seconds vs 5.33 seconds for the stats_index benchmark.
Dual-licensed under MIT or the UNLICENSE.
This project is unrelated to Intel's Quick Sync Video.