static USAGE: &str = r#"
Splits the given CSV data into chunks. It has three modes: by size (rowcount),
by number of chunks and by kb-size.
See `partition` command for splitting by a column value.
When splitting by size, the CSV data is split into chunks of the given number of
rows. The last chunk may have fewer rows if the number of records is not evenly
divisible by the given rowcount.
When splitting by number of chunks, the CSV data is split into the given number of
chunks. The number of rows in each chunk is determined by the number of records in
the CSV data and the number of desired chunks. If the number of records is not evenly
divisible by the number of chunks, the last chunk will have fewer records.
When splitting by kb-size, the CSV data is split into chunks of the given size in kilobytes.
The number of rows in each chunk may vary, but the size of each chunk will not exceed the
desired size.
Uses multithreading to go faster if the CSV has an index when splitting by size or
by number of chunks. Splitting by kb-size is always done sequentially with a single thread.
The default is to split by size with a chunk size of 500.
The files are written to the directory given with the name '{start}.csv',
where {start} is the index of the first record of the chunk (starting at 0).
Examples:
# Create files with names like chunk_0.csv, chunk_100.csv, etc.
# in the directory 'outdir', creating the directory if it does not exist.
qsv split outdir --size 100 --filename chunk_{}.csv input.csv
# Create files with names like chunk_00000.csv, chunk_00100.csv, etc.
# in the directory 'outdir/subdir', creating the directories if they do not exist.
qsv split outdir/subdir -s 100 --filename chunk_{}.csv --pad 5 input.csv
# Create files like 0.csv, 100.csv, etc. in the current directory.
qsv split . -s 100 input.csv
# Create files with names like 0.csv, 994.csv, etc. in the directory
# 'outdir', creating the directory if it does not exist. Each file will be close
# to 1000KB in size.
qsv split outdir --kb-size 1000 input.csv
# Read from stdin and create files like mysplitoutput_0.csv, mysplitoutput_1000.csv, etc.
cat in.csv | qsv split mysplitoutput -s 1000
# Create 10 files with names like 0.csv, 1000.csv, etc. in the directory 'outdir',
qsv split outdir --chunks 10 input.csv
# Create 10 files with names like splitoutdir_0.csv, splitoutdir_1000.csv, etc.
# using 4 parallel jobs. Note that the input CSV must have an index
qsv split splitoutdir -c 10 -j 4 input.csv
# This will create files with names like 0.csv, 100.csv, etc. in the directory
# 'outdir', and then run the command "gzip" on each chunk.
qsv split outdir -s 100 --filter "gzip $FILE" input.csv
# WINDOWS: This will create files with names like 0.zip, 100.zip, etc. in the directory
# 'outdir', and then run the command "Compress-Archive" on each chunk.
qsv split outdir --filter "powershell Compress-Archive -Path $FILE -Destination {}.zip" input.csv
For more examples, see https://github.com/dathere/qsv/blob/master/tests/test_split.rs.
Usage:
qsv split [options] (--size <arg> | --chunks <arg> | --kb-size <arg>) <outdir> [<input>]
qsv split --help
split arguments:
<outdir> The directory where the output files will be written.
If it does not exist, it will be created.
<input> The CSV file to read. If not given, input is read from
STDIN.
split options:
-s, --size <arg> The number of records to write into each chunk.
[default: 500]
-c, --chunks <arg> The number of chunks to split the data into.
This option is mutually exclusive with --size.
The number of rows in each chunk is determined by
the number of records in the CSV data and the number
of desired chunks. If the number of records is not evenly
divisible by the number of chunks, the last chunk will
have fewer records.
-k, --kb-size <arg> The size of each chunk in kilobytes. The number of rows
in each chunk may vary, but the size of each chunk will
not exceed the desired size.
This option is mutually exclusive with --size and --chunks.
-j, --jobs <arg> The number of splitting jobs to run in parallel.
This only works when the given CSV data has
an index already created. Note that a file handle
is opened for each job.
When not set, the number of jobs is set to the
number of CPUs detected.
--filename <filename> A filename template to use when constructing
the names of the output files. The string '{}'
will be replaced by the zero-based row number
of the first row in the chunk.
[default: {}.csv]
--pad <arg> The zero padding width that is used in the
generated filename.
[default: 0]
FILTER OPTIONS:
--filter <command> Run the specified command on each chunk after it is written.
The command should use the FILE environment variable
($FILE on Linux/macOS, %FILE% on Windows), which is
set to the path of the output file for each chunk.
The string '{}' in the command will be replaced by the
zero-based row number of the first row in the chunk.
--filter-cleanup Cleanup the original output filename AFTER the filter command
is run successfully for EACH chunk. If the filter command is not
successful, the original filename is not removed.
Only valid when --filter is used.
--filter-ignore-errors Ignore errors when running the filter command.
Only valid when --filter is used.
Common options:
-h, --help Display this message
-n, --no-headers When set, the first row will NOT be interpreted
as column names. Otherwise, the first row will
appear in all chunks as the header row.
-d, --delimiter <arg> The field delimiter for reading CSV data.
Must be a single character. (default: ,)
-q, --quiet Do not display an output summary to stderr.
"#;
use std::{fs, io, path::Path, process::Command};
use dunce;
use log::debug;
use rayon::iter::{IntoParallelIterator, ParallelIterator};
use serde::Deserialize;
use crate::{
CliResult,
config::{Config, Delimiter},
index::Indexed,
util::{self, FilenameTemplate},
};
#[derive(Clone, Deserialize)]
struct Args {
arg_input: Option<String>,
arg_outdir: String,
flag_size: usize,
flag_chunks: Option<usize>,
flag_kb_size: Option<usize>,
flag_jobs: Option<usize>,
flag_filename: FilenameTemplate,
flag_pad: usize,
flag_no_headers: bool,
flag_delimiter: Option<Delimiter>,
flag_quiet: bool,
flag_filter: Option<String>,
flag_filter_cleanup: bool,
flag_filter_ignore_errors: bool,
}
pub fn run(argv: &[&str]) -> CliResult<()> {
let mut args: Args = util::get_args(USAGE, argv)?;
if args.flag_size == 0 {
return fail_incorrectusage_clierror!("--size must be greater than 0.");
}
if Path::new(&args.arg_outdir).is_file() && args.arg_input.is_none() {
return fail_incorrectusage_clierror!("<outdir> is not specified or is a file.");
}
fs::create_dir_all(&args.arg_outdir)?;
if args.arg_input.is_none() {
let temp_dir =
crate::config::TEMP_FILE_DIR.get_or_init(|| tempfile::TempDir::new().unwrap().keep());
let mut temp_file = tempfile::Builder::new()
.suffix(".csv")
.tempfile_in(temp_dir)?;
io::copy(&mut io::stdin(), &mut temp_file)?;
let temp_path = temp_file.path().to_str().unwrap().to_string();
temp_file
.keep()
.map_err(|e| format!("Failed to keep temporary stdin file: {e}"))?;
args.arg_input = Some(temp_path);
}
if let Some(kb_size) = args.flag_kb_size {
args.split_by_kb_size(kb_size)
} else {
match args.rconfig().indexed()? {
Some(idx) => args.parallel_split(&idx),
None => args.sequential_split(),
}
}
}
impl Args {
fn split_by_kb_size(&self, chunk_size: usize) -> CliResult<()> {
let rconfig = self.rconfig();
let mut rdr = rconfig.reader()?;
let headers = rdr.byte_headers()?.clone();
let header_byte_size = if self.flag_no_headers {
0
} else {
let mut headerbuf_wtr = csv::WriterBuilder::new().from_writer(vec![]);
headerbuf_wtr.write_byte_record(&headers)?;
headerbuf_wtr.into_inner().unwrap().len()
};
let mut wtr = self.new_writer(&headers, 0, self.flag_pad)?;
let mut i = 0;
let mut num_chunks = 0;
let mut chunk_start = 0; let mut row = csv::ByteRecord::new();
let chunk_size_bytes = chunk_size * 1024;
let mut chunk_size_bytes_left = chunk_size_bytes - header_byte_size;
let mut not_empty = rdr.read_byte_record(&mut row)?;
let mut curr_size_bytes;
let mut next_size_bytes;
wtr.write_byte_record(&row)?;
while not_empty {
let mut buf_curr_wtr = csv::WriterBuilder::new().from_writer(vec![]);
buf_curr_wtr.write_byte_record(&row)?;
curr_size_bytes = buf_curr_wtr.into_inner().unwrap().len();
not_empty = rdr.read_byte_record(&mut row)?;
next_size_bytes = if not_empty {
let mut buf_next_wtr = csv::WriterBuilder::new().from_writer(vec![]);
buf_next_wtr.write_byte_record(&row)?;
buf_next_wtr.into_inner().unwrap().len()
} else {
0
};
if curr_size_bytes + next_size_bytes >= chunk_size_bytes_left {
wtr.flush()?;
if self.flag_filter.is_some() {
self.run_filter_command(chunk_start, self.flag_pad)?;
}
chunk_start = i; wtr = self.new_writer(&headers, i, self.flag_pad)?;
chunk_size_bytes_left = chunk_size_bytes - header_byte_size;
num_chunks += 1;
}
if next_size_bytes > 0 {
wtr.write_byte_record(&row)?;
chunk_size_bytes_left -= curr_size_bytes;
i += 1;
}
}
wtr.flush()?;
if self.flag_filter.is_some() {
self.run_filter_command(chunk_start, self.flag_pad)?;
}
if !self.flag_quiet {
eprintln!(
"Wrote chunk/s to '{}'. Size/chunk: <= {}KB; Num chunks: {}",
dunce::canonicalize(Path::new(&self.arg_outdir))?.display(),
chunk_size,
num_chunks + 1
);
}
Ok(())
}
fn sequential_split(&self) -> CliResult<()> {
let rconfig = self.rconfig();
let mut rdr = rconfig.reader()?;
let headers = rdr.byte_headers()?.clone();
#[allow(clippy::cast_precision_loss)]
let chunk_size = if let Some(flag_chunks) = self.flag_chunks {
let count = util::count_rows(&rconfig)?;
let chunk = flag_chunks;
if chunk == 0 {
return fail_incorrectusage_clierror!("--chunk must be greater than 0.");
}
(count as f64 / chunk as f64).ceil() as usize
} else {
self.flag_size
};
let mut wtr = self.new_writer(&headers, 0, self.flag_pad)?;
let mut i: usize = 0;
let mut nchunks: usize = 0;
let mut row = csv::ByteRecord::new();
while rdr.read_byte_record(&mut row)? {
if i > 0 && i.is_multiple_of(chunk_size) {
wtr.flush()?;
if self.flag_filter.is_some() {
self.run_filter_command(i - chunk_size, self.flag_pad)?;
}
nchunks += 1;
wtr = self.new_writer(&headers, i, self.flag_pad)?;
}
wtr.write_byte_record(&row)?;
i += 1;
}
wtr.flush()?;
if self.flag_filter.is_some() {
let last_chunk_start = ((i - 1) / chunk_size) * chunk_size;
self.run_filter_command(last_chunk_start, self.flag_pad)?;
}
if !self.flag_quiet {
eprintln!(
"Wrote {} chunk/s to '{}'. Rows/chunk: {} Num records: {}",
nchunks + 1,
dunce::canonicalize(Path::new(&self.arg_outdir))?.display(),
chunk_size,
i
);
}
Ok(())
}
fn parallel_split(&self, idx: &Indexed<fs::File, fs::File>) -> CliResult<()> {
let chunk_size;
let idx_count = idx.count();
#[allow(clippy::cast_precision_loss)]
let nchunks = if let Some(flag_chunks) = self.flag_chunks {
chunk_size = (idx_count as f64 / flag_chunks as f64).ceil() as usize;
flag_chunks
} else {
chunk_size = self.flag_size;
util::num_of_chunks(idx_count as usize, self.flag_size)
};
if nchunks == 1 {
return self.sequential_split();
}
util::njobs(self.flag_jobs);
(0..nchunks).into_par_iter().for_each(|i| {
let conf = self.rconfig();
let mut idx = conf.indexed().unwrap().unwrap();
let headers = idx.byte_headers().unwrap();
let mut wtr = self
.new_writer(headers, i * chunk_size, self.flag_pad)
.unwrap();
idx.seek((i * chunk_size) as u64).unwrap();
let mut write_row;
for row in idx.byte_records().take(chunk_size) {
write_row = row.unwrap();
wtr.write_byte_record(&write_row).unwrap();
}
wtr.flush().unwrap();
if self.flag_filter.is_some() {
if let Err(e) = self.run_filter_command(i * chunk_size, self.flag_pad) {
eprintln!("Error running filter command: {e}");
}
}
});
if !self.flag_quiet {
eprintln!(
"Wrote {} chunk/s to '{}'. Rows/chunk: {} Num records: {}",
nchunks,
dunce::canonicalize(Path::new(&self.arg_outdir))?.display(),
chunk_size,
idx_count
);
}
Ok(())
}
fn new_writer(
&self,
headers: &csv::ByteRecord,
start: usize,
width: usize,
) -> CliResult<csv::Writer<Box<dyn io::Write + 'static>>> {
let dir = Path::new(&self.arg_outdir);
let path = dir.join(self.flag_filename.filename(&format!("{start:0>width$}")));
let spath = Some(path.display().to_string());
let mut wtr = Config::new(spath.as_ref()).writer()?;
if !self.rconfig().no_headers {
wtr.write_record(headers)?;
}
Ok(wtr)
}
fn run_filter_command(&self, start: usize, width: usize) -> CliResult<()> {
if let Some(ref filter_cmd) = self.flag_filter {
let outdir = Path::new(&self.arg_outdir).canonicalize()?;
let filename = self.flag_filename.filename(&format!("{start:0>width$}"));
let file_path = outdir.join(&filename);
debug!(
"Processing filter command for file: {}",
file_path.display()
);
if !file_path.exists() {
wwarn!(
"File {} does not exist, skipping filter command",
file_path.display()
);
return Ok(());
}
let cmd = filter_cmd.replace("{}", &format!("{start:0>width$}"));
debug!("Filter command template: {cmd}");
let canonical_path = match dunce::canonicalize(&file_path) {
Ok(path) => path,
Err(e) => {
return fail_clierror!(
"Failed to canonicalize path {}: {e}",
file_path.display()
);
},
};
let path_str = canonical_path.to_string_lossy().to_string();
debug!("Canonicalized path: {path_str}");
let canonical_outdir = match dunce::canonicalize(&outdir) {
Ok(path) => path,
Err(e) => {
return fail_clierror!(
"Failed to canonicalize outdir path {}: {e}",
outdir.display()
);
},
};
let status = if cfg!(windows) {
debug!("Running Windows command: cmd /C {cmd}");
let cmd_vec = cmd.split(' ').collect::<Vec<&str>>();
Command::new("cmd")
.arg("/C")
.args(&cmd_vec)
.current_dir(&canonical_outdir)
.env("FILE", path_str)
.status()
} else {
debug!("Running Unix command: sh -c {cmd}");
Command::new("sh")
.arg("-c")
.arg(&cmd)
.current_dir(&canonical_outdir)
.env("FILE", path_str)
.status()
};
let status = match status {
Ok(status) => status,
Err(e) => {
return fail_clierror!("Failed to execute filter command: {e}");
},
};
if !status.success() && !self.flag_filter_ignore_errors {
return fail_clierror!(
"Filter command failed with exit code: {}",
status.code().unwrap_or(-1)
);
}
if self.flag_filter_cleanup {
debug!("Cleaning up original file: {}", file_path.display());
if let Err(e) = fs::remove_file(&file_path) {
wwarn!("Failed to remove file {}: {e}", file_path.display());
}
}
}
Ok(())
}
fn rconfig(&self) -> Config {
Config::new(self.arg_input.as_ref())
.delimiter(self.flag_delimiter)
.no_headers_flag(self.flag_no_headers)
}
}