xsv

Attenzione

La sezione per xsv non è ancora pronta. È possibile fare riferimento al sito ufficiale.

È un toolkit dedicato alla lettura, interrogazione, analisi di file CSV. È scritto in Rust ed è sorprendente per rapidità e facilità d'uso.

Mette a disposizione diversi comandi:

  • cat - Concatenate CSV files by row or by column.
  • count - Count the rows in a CSV file. (Instantaneous with an index.)
  • fixlengths - Force a CSV file 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., xsv slice -i 5 data.csv | xsv flatten.
  • fmt - Reformat CSV data with different delimiters, record terminators or quoting rules. (Supports ASCII delimited data.)
  • frequency - Build frequency tables of each column in CSV data. (Uses parallelism to go faster if an index is present.)
  • headers - Show the headers of CSV data. Or show the intersection of all headers between many CSV files.
  • index - Create an index for a CSV file. This is very quick and provides constant time indexing into the CSV file.
  • input - Read CSV data with exotic quoting/escaping rules.
  • join - Inner, outer and cross joins. Uses a simple hash index to make it fast.
  • partition - Partition CSV data based on a column value.
  • sample - Randomly draw rows from CSV data using reservoir sampling (i.e., use memory proportional to the size of the sample).
  • reverse - Reverse order of rows in CSV data.
  • search - Run a regex over CSV data. Applies the regex to each field individually and shows only matching rows.
  • select - Select or re-order columns from CSV data.
  • slice - Slice rows from any part of a CSV file. 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).
  • sort - Sort CSV data.
  • split - Split one CSV file into many CSV files of N chunks.
  • stats - restituisce delle statistiche di base, per ogni campo.
  • table - Show aligned output of any CSV data using elastic tabstops.