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athenacli

CLI for Athena Database. With auto-completion and syntax highlighting.

  • 1.6.8
  • PyPI
  • Socket score

Maintainers
2

Build Status PyPI Downloads image image Join the chat at https://gitter.im/dbcli/athenacli

Introduction

AthenaCLI is a command line interface (CLI) for the Athena service that can do auto-completion and syntax highlighting, and is a proud member of the dbcli community.

Quick Start

Install

Install via pip

If you already know how to install python packages, then you can simply do:

$ pip install athenacli

Install via brew

Homebrew users can install by:

$ brew install athenacli

If you don't know how to install python packages, please check the Install page for more options (e.g docker)

Config

A config file is automatically created at ~/.athenacli/athenaclirc at first launch (run athenacli). See the file itself for a description of all available options.

Below 4 variables are required. If you are a user of aws cli, you can refer to awsconfig file to see how to reuse credentials configuration of aws cli.

# AWS credentials
aws_access_key_id = ''
aws_secret_access_key = ''
region = '' # e.g us-west-2, us-east-1

# Amazon S3 staging directory where query results are stored.
# NOTE: S3 should in the same region as specified above.
# The format is 's3://<your s3 directory path>'
s3_staging_dir = ''

# Name of athena workgroup that you want to use
work_group = '' # e.g. primary

or you can also use environment variables:

$ export AWS_ACCESS_KEY_ID=YOUR_ACCESS_KEY_ID
$ export AWS_SECRET_ACCESS_KEY=YOUR_SECRET_ACCESS_KEY
$ export AWS_DEFAULT_REGION=us-west-2
$ export AWS_ATHENA_S3_STAGING_DIR=s3://YOUR_S3_BUCKET/path/to/
$ export AWS_ATHENA_WORK_GROUP=YOUR_ATHENA_WORK_GROUP

Create a table

$ athenacli -e examples/create_table.sql

You can find examples/create_table.sql here.

Run a query

$ athenacli -e 'select elb_name, request_ip from elb_logs LIMIT 10'

REPL

$ athenacli [<database_name>]

Features

  • Auto-completes as you type for SQL keywords as well as tables and columns in the database.
  • Syntax highlighting.
  • Smart-completion will suggest context-sensitive completion.
    • SELECT * FROM <tab> will only show table names.
    • SELECT * FROM users WHERE <tab> will only show column names.
  • Pretty prints tabular data and various table formats.
  • Some special commands. e.g. Favorite queries.
  • Alias support. Column completions will work even when table names are aliased.

Please refer to the Features page for the screenshots of above features.

Usages

$ athenacli --help
Usage: main.py [OPTIONS] [DATABASE]

A Athena terminal client with auto-completion and syntax highlighting.

Examples:
    - athenacli
    - athenacli my_database

Options:
-e, --execute TEXT            Execute a command (or a file) and quit.
-r, --region TEXT             AWS region.
--aws-access-key-id TEXT      AWS access key id.
--aws-secret-access-key TEXT  AWS secretaccess key.
--s3-staging-dir TEXT         Amazon S3 staging directory where query
                                results are stored.
--work-group TEXT             Amazon Athena workgroup in which query is run, default is primary
--athenaclirc PATH            Location of athenaclirc file.
--help                        Show this message and exit.

Please go to the Usages for detailed information on how to use AthenaCLI.

Contributions

If you're interested in contributing to this project, first of all I would like to extend my heartfelt gratitude. I've written a small doc to describe how to get this running in a development setup.

Please feel free to reach out to me if you need help. My email: zhuzhaolong0 AT gmail com

FAQs

Please refer to the FAQs for other information, e.g. "How can I get support for athenacli?".

Credits

A special thanks to Amjith Ramanujam for creating pgcli and mycli, which inspired me to create this AthenaCLI, and AthenaCLI is created based on a clone of mycli.

Thanks to Jonathan Slenders for creating the Python Prompt Toolkit, which leads me to pgcli and mycli. It's a lot of fun playing with this library.

Thanks to PyAthena for a pure python adapter to Athena database.

Last but not least, thanks my team and manager encourage me to work on this hobby project.

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