edy

edy is a command line interface designed to make DynamoDB easy to use. When you query or scan on DynamoDB with AWS CLI, you have to write a lot of keys and values and options. If you run it many times, it's very hard. Also, the results are deeply nested and difficult to read. We are developing edy to make the results easier to handle and in order to reduce writing. Currently, scan, query (and describe-table), put, delete are available. Options support filter and projection, GSI. Other commands and options are under development.

Installation

Download Binaries

macOS

$ curl -O -L https://github.com/hirano00o/edy/releases/latest/download/edy_darwin_amd64.tar.gz
$ tar zxvf edy_darwin_amd64.tar.gz
$ mv edy /usr/local/bin/
$ chmod +x /usr/local/bin/edy
$ edy --help

Linux x86-64

$ curl -O -L https://github.com/hirano00o/edy/releases/latest/download/edy_linux_amd64.tar.gz
$ tar zxvf edy_linux_amd64.tar.gz
$ sudo mv edy /usr/local/bin/
$ chmod +x /usr/local/bin/edy
$ edy --help

go get

$ go get github.com/hirano00o/edy/cmd/edy

Usage

Prerequisites

You need to set up AWS credentials in your environment. For example, performs aws configure or export environment variables such as AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN. Please see Configuration and credential file settings - AWS Command Line Interface for details.

Overview

Currently, available commands are describe, scan, query, put, delete.

describe

The describe command behaves similarly to aws dynamodb describe-table.

$ edy describe --table-name User  # Shortened version: edy desc -t User
{
  "tableArn": "arn:aws:dynamodb:ddblocal:000000000000:table/User",
  "tableName": "User",
  "partitionKey": {
    "name": "ID",
    "type": "N"
  },
  "sortKey": {
    "name": "Name",
    "type": "S"
  },
  "gsi": [
    {
      "indexName": "EmailGSI",
      "partitionKey": {
        "name": "Email",
        "type": "S"
      }
    }
  ],
  "itemCount": 7
}

scan

The scan command behaves similarly to aws dynamodb scan. You can filter the results by using the filter option. Please see edy s -h for details.

$ edy scan --table-name User --filter "not Birthplace,S exists and Age,N > 25" # Shortened version: edy s -t User -f "not Birthplace,S exists and Age,N > 25"
[
  {
    "Age": 26,
    "Email": "[email protected]",
    "ID": 7,
    "Name": "Eve"
  }
]

query

The query command behaves similarly to aws dynamodb query.

$ edy query --table-name User --partition 1 # Shortened version: edy q -t User -p 1
[
  {
    "Age": 20,
    "Birthplace": "Arkansas",
    "Email": "[email protected]",
    "ID": 1,
    "Name": "Alice"
  }
]

It can also specify the sort key and filter condition and so on.

$ edy q -h
NAME:
   edy query - Query table

USAGE:
   edy query [command options] [arguments...]

OPTIONS:
   --table-name value, -t value    DynamoDB table name
   --region value, -r value        AWS region
   --profile value                 AWS profile name
   --local value                   Port number or full URL if you connect such as dynamodb-local and LocalStack.
                                   ex. --local 8000
   --partition value, -p value     The value of partition key
   --sort value, -s value          The value and condition of sort key.
                                   ex1. --sort "> 20"
                                   ex2. --sort "between 20 25"
                                   Available operator is =,<=,<,>=,>,between,begins_with
   --index value, --idx value      Global secondary index name
   --filter value, -f value        The condition if you use filter.
                                   ex. --filter "Age,N >= 20 and Email,S in [email protected] [email protected] or not Birthplace,S exists"
                                   Available operator is =,<=,<,>=,>,between,begins_with,exists,in,contains
   --projection value, --pj value  Identifies and retrieve the attributes that you want.
                                   ex. --projection "Age, Email, Birthplace"
   --output value, -o value        Output format to show the result.
                                   Available format is JSON, csv. Default is JSON
   --help, -h                      show help (default: false)

put

The put command behaves similarly to aws dynamodb put-item or aws dynamodb batch-write-item (only PutRequest). It creates a record by passing json to the --item(-i) option or using --input-file(-I) from file.
Supported type is S, N, SS, NS, M, L, BOOL, NULL.

# When put 1 item.
$ edy put --table-name User --item '{"ID":3, "Name":"Alice", "Interest":{"SNS":["Twitter","Facebook"]}}'
# Shortened version: edy p -i '{"ID":3, "Name":"Alice", "Interest":{"SNS":["Twitter","Facebook"]}}'
{
  "unprocessed": []
}

# When put some items, specify the items in an array.
$ edy put --table-name User --item '[{"ID":3, "Name":"Alice", "Interest":{"SNS":["Twitter","Facebook"]}}, {"ID":4, "Name":"Bob", "Interest":{"SNS":["Facebook"]}}]'
# Shortened version: edy p -i '{"ID":3, "Name":"Alice", "Interest":{"SNS":["Twitter","Facebook"]}}'
{
  "unprocessed": []
}

delete

The delete command behaves similarly to aws dynamodb batch-write-item (only DeleteRequest).

$ edy delete --table-name User --partition 1 --sort "Alice" # Shortened version: edy del -t User -p 1 -s Alice
{
  "unprocessed": []
}

If you want to delete multiple matching records at once, you should use --input-file(-I) option. The input file format is json. You specify partition key or partition and sort keys. Example is as follows.

[
  {
    "partition": 1,
    "sort": "Alice"
  },
  {
    "partition": 2
  }
]

When you saved the above to delete.json, execute as follows.

$ edy delete --table-name User --input-file delete.json # Shortened version: edy del -t User -I delete.json
{
  "unprocessed": []
}

If use DynamoDB Local or LocalStack

You can connect to the local application such as DynamoDB Local and LocalStack by using --local option. This option can specify the port number or full url, such as --local 8000 or --local http://localhost:8000.

Future works

• Implement other commands such as create and put and batch.
• Modify scan and query not to call describe internally every time.