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sqly is a command-line tool that executes SQL against CSV, TSV, LTSV, JSON, JSONL, Parquet, Microsoft Excel, ACH, and Fedwire files. It imports those files into an SQLite3 in-memory database. Compressed files (.gz, .bz2, .xz, .zst, .z, .snappy, .s2, .lz4) are also supported. CTE (WITH clause) is available for complex queries.

sqly has an interactive shell (sqly-shell) with SQL completion and command history. You can also execute SQL directly from the command line without the shell.

sqly --sql "SELECT * FROM data" data.csv.gz
sqly --sql "SELECT * FROM logs WHERE level='ERROR'" logs.tsv.bz2

go install github.com/nao1215/sqly@latest

brew install nao1215/tap/sqly

• Windows
• macOS
• Linux
• go1.25.0 or later

The sqly automatically imports CSV/TSV/LTSV/JSON/JSONL/Parquet/Excel/ACH/Fedwire files (including compressed versions for tabular formats) into the DB when you pass file paths or directory paths as arguments. You can also mix files and directories in the same command. DB table name is the same as the file name or sheet name (e.g., if you import user.csv, sqly command create the user table).

Note: Table names are sanitized for SQL compatibility. Spaces, hyphens (-), and dots (.) are replaced with underscores (_). Other special characters (e.g., @, #, $) are removed. If the resulting name starts with a digit, a sheet_ prefix is added.

Examples:

• bug-syntax-error.csv → table bug_syntax_error
• 2023-data.csv → table sheet_2023_data
• data@v2.csv → table datav2

When importing Excel files, table names are created in the format filename_sheetname. Sheet names are also sanitized for SQL compatibility:

• Spaces, hyphens, and dots are replaced with underscores
• Non-ASCII characters (such as accented characters like é) are removed

For example:

• File data.xlsx with sheet A test → table data_A_test
• File report.xlsx with sheet Café → table report_Caf

You can specify a sheet name using the --sheet option with the original name (before sanitization):

$ sqly data.xlsx --sheet="A test"
$ sqly report.xlsx --sheet="Café"

The sqly automatically determines the file format from the file extension, including compressed files.

ACH (Automated Clearing House) files (.ach) are loaded as multiple tables for easy querying:

• {filename}_file_header — file-level header (1 row)
• {filename}_batches — batch header information
• {filename}_entries — entry detail records (main transaction data)
• {filename}_addenda — addenda records

For IAT (International ACH Transactions), additional tables are created: {filename}_iat_batches, {filename}_iat_entries, {filename}_iat_addenda.

$ sqly ppd-debit.ach
$ sqly --sql "SELECT * FROM ppd_debit_entries WHERE amount > 10000" ppd-debit.ach

Fedwire files (.fed) are loaded as a single message table:

• {filename}_message — flat table with all FEDWireMessage fields

$ sqly customer-transfer.fed
$ sqly --sql "SELECT * FROM customer_transfer_message" customer-transfer.fed

--sql option takes an SQL statement as an optional argument.

$ sqly --sql "SELECT user_name, position FROM user INNER JOIN identifier ON user.identifier = identifier.id" testdata/user.csv testdata/identifier.csv
+-----------+-----------+
| user_name | position  |
+-----------+-----------+
| booker12  | developrt |
| jenkins46 | manager   |
| smith79   | neet      |
+-----------+-----------+

You can import entire directories containing supported files. The sqly automatically detects all supported files (CSV, TSV, LTSV, JSON, JSONL, Parquet, Excel, ACH, Fedwire, including compressed versions) in the directory recursively and imports them:

# Import all files from a directory
$ sqly ./data_directory

# Mix files and directories
$ sqly file1.csv ./data_directory file2.tsv

# Use with --sql option
$ sqly ./data_directory --sql "SELECT * FROM users"

In the sqly shell, you can use the .import command to import files or directories:

sqly:~/data$ .import ./csv_files
Successfully imported 3 tables from directory ./csv_files: [users products orders]

sqly:~/data$ .import file1.csv ./directory file2.tsv
# Imports file1.csv, all files from directory, and file2.tsv

sqly:~/data$ .tables
orders
products
users

The sqly output sql query results in following formats:

• ASCII table format (default)
• CSV format (--csv option)
• TSV format (--tsv option)
• LTSV format (--ltsv option)

$ sqly --sql "SELECT * FROM user LIMIT 2" --csv testdata/user.csv 
user_name,identifier,first_name,last_name
booker12,1,Rachel,Booker
jenkins46,2,Mary,Jenkins

The sqly shell starts when you run the sqly command without the --sql option. When you execute sqly command with file path, the sqly-shell starts after importing the file into the SQLite3 in-memory database.

$ sqly 
sqly v0.10.0

enter "SQL query" or "sqly command that begins with a dot".
.help print usage, .exit exit sqly.

sqly:~/github/github.com/nao1215/sqly(table)$ 

The sqly shell functions similarly to a common SQL client (e.g., sqlite3 command or mysql command). The sqly shell has helper commands that begin with a dot. The sqly-shell also supports command history, and input completion.

The sqly-shell has the following helper commands:

sqly:~/github/github.com/nao1215/sqly(table)$ .help
        .cd: change directory
     .clear: clear terminal screen
      .dump: dump db table to file in a format according to output mode (default: csv)
      .exit: exit sqly
    .header: print table header
      .help: print help message
    .import: import file(s) and/or directory(ies)
        .ls: print directory contents
      .mode: change output mode
       .pwd: print current working directory
    .tables: print tables

The sqly can save SQL execution results to the file using shell redirection. The --csv option outputs SQL execution results in CSV format instead of table format.

$ sqly --sql "SELECT * FROM user" --csv testdata/user.csv > test.csv

The sqly can save SQL execution results to the file using the --output option. The --output option specifies the destination path for SQL results specified in the --sql option.

$ sqly --sql "SELECT * FROM user" --output=test.csv testdata/user.csv 

CSV/TSV/LTSV/JSON/JSONL/Parquet/Excel also support the following compression extensions: .gz, .bz2, .xz, .zst, .z, .snappy, .s2, .lz4 (e.g. .csv.gz, .tsv.bz2, .ltsv.xz)

CPU: AMD Ryzen 5 3400G with Radeon Vega Graphics
Execute:

SELECT * FROM `table` WHERE `Index` BETWEEN 1000 AND 2000 ORDER BY `Index` DESC LIMIT 1000

• DDL such as CREATE
• DML such as GRANT
• TCL such as Transactions

First off, thanks for taking the time to contribute! See CONTRIBUTING.md for more information. Contributions are not only related to development. For example, GitHub Star motivates me to develop!

Please see the document, section "Document for developers".

When adding new features or fixing bugs, please write unit tests. The sqly is unit tested for all packages as the unit test tree map below shows.

If you would like to send comments such as "find a bug" or "request for additional features" to the developer, please use one of the following contacts.

• GitHub Issue

sqly leverages powerful Go libraries to provide its functionality:

• filesql - Provides SQL database interface for CSV/TSV/LTSV/JSON/JSONL/Parquet/Excel files with automatic type detection and compressed file support
• prompt - Powers the interactive shell with SQL completion and command history features

The sqly project is licensed under the terms of MIT LICENSE.

Thanks goes to these wonderful people (emoji key):

CHIKAMATSU Naohiro 💻 📖	Wozzardman 💻
Add your contributions

This project follows the all-contributors specification. Contributions of any kind welcome!