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xan

xan is a fast command-line toolkit for exploring, filtering, aggregating, joining and converting CSV data. This page covers its expression language, large-file resource planning, output checks and optional network boundaries.

Version 0.60.0Windows x64Unlicense

What xan provides

xan offers CSV preview, selection, search, statistics, aggregation, sorting, deduplication, joins, conversion and terminal visualization through composable commands and an expression language. It grew from the xsv family but has its own syntax and behavior, so scripts should target one fixed version.

Plan for types and scale

Fast CSV operations still have costs. Joins, sorting, high-cardinality aggregation and format conversion can require significant memory or temporary disk. Keep identifiers and dates explicit, test with a representative sample and write every result to a new path.

Maintenance note

This page reviews xan for repeatable CSV exploration, transformation and large-file planning. Content review date: 2026-08-23.

SAVE TO CLOUD

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Links checked 2026-08-06
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GUIDE

xan CSV exploration and join guide

Use a small non-sensitive CSV pair to inspect headers, test an expression and join key, then validate the row counts and unmatched records before processing the full dataset.

Before you start

  • Prepare one or two headered sample CSV files and record encoding, keys, row counts and checksums.
  • Create separate input, temporary and output directories with free space for sorting and joins.
  • Define how empty values, duplicate keys, dates and leading zeros should be interpreted.
01

Installation steps

  1. 01

    Confirm version and command behavior

    Install xan for the platform, run its version and help output and test one harmless command so the expression and format behavior is known.

  2. 02

    Inspect each input

    Use headers, count and view or flatten on the samples, checking field names, long values, quoting and row counts before combining files.

  3. 03

    Create a reproducible output path

    Keep source files read-only, reserve temporary space and write the first filtered or converted result to a new file with a recorded command.

02

Quick start

  1. 01

    Test an expression on a sample

    Select a few columns or filter one condition, compare null, case and boundary behavior with expected records and keep the sample result for regression checks.

  2. 02

    Join with key evidence

    Inspect key uniqueness and missing values on both inputs, run the join on a copy and compare matched, unmatched and duplicate-key counts.

  3. 03

    Validate scale and output

    Measure memory, temporary disk and elapsed time on a representative slice, then re-read the final output and check delimiter, encoding and field order.

Usage tips

  • xan and xsv share some history but their commands and expressions are not interchangeable without tests.
  • Full sorting and joins can spill resources even when preview commands are fast; plan capacity before a batch.
  • Network or web-data features should be isolated from sensitive CSV inputs and checked for rate and permission constraints.
Troubleshooting and uninstall

Why did a join create more rows than expected?

Count duplicate and empty keys on both sides, identify many-to-many combinations and compare the chosen join type with the intended business rule.

Why does a filtered result omit records?

Check case, whitespace, nulls, type inference and expression boundaries on a small sample, then rerun with explicit normalization.

  1. Preserve reproducibility notesSave the xan version, expressions, input checksums and output validation notes needed to reproduce the approved transformation.
  2. Remove xan and temporary dataConfirm scripts no longer call xan, uninstall it through the platform and delete temporary or index files only after the final output is archived.
FAQ

Frequently asked questions

Is xan a drop-in replacement for xsv?

No. xan grew from the xsv family but has been substantially rewritten; compare command flags, expressions, null handling, sorting and output formats with regression samples.

Can xan handle multi-gigabyte CSV files?

Many operations are designed for large data, but joins, sorting, aggregation and conversion still depend on row count, field cardinality and available memory and disk.

Does xan only process local data?

Core commands target local files, while adjacent collection or conversion features may access the network. Check help and use a clear allowlist for sensitive data.

Does the download require an extraction code?

The Quark entry does not require one; the four-character code for the Baidu entry is shown beside its download entry.