Metadata-Version: 2.1
Name: dynamodb-csv
Version: 1.3.0
Summary: Python command to import CSV into DynamoDB
Home-page: https://github.com/danishi/DynamoDBCSV
Author: danishi
Author-email: dns2developer@gmail.com
License: MIT
Description: # DynamoDB CSV utility
        
        [![ci](https://github.com/danishi/DynamoDBCSV/actions/workflows/ci.yaml/badge.svg?branch=master)](https://github.com/danishi/DynamoDBImportCSV/actions/workflows/ci.yaml)
        ![MIT](https://img.shields.io/github/license/danishi/DynamoDBCSV)
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        [![Downloads](https://pepy.tech/badge/dynamodb-csv)](https://pepy.tech/project/dynamodb-csv)
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        A utility that allows CSV import / export to DynamoDB on the command line
        
        ## Introduction
        
        I wrote this script because there was no tool to satisfy my modest desire to make it easy to import CSV files into DynamoDB.  
        Written in a simple Python script, it should be easy to parse and modify.  
          
        it works for me.
        
        ## Getting started
        
        ### Install
        
        ```shell
        $ python -m venv venv
        $ . venv/bin/activate
        $ pip install dynamodb-csv
        $ dynamodb-csv -h
        usage: main.py [-h] [-v] [-i] [-e] [--truncate] -t TABLE [-f FILE] [-o OUTPUT]
        
        Import CSV file into DynamoDB table utilities
        
        optional arguments:
          -h, --help            show this help message and exit
          -v, --version         show version
          -i, --imp             mode import
          -e, --exp             mode export
          --truncate            mode truncate
          -t TABLE, --table TABLE
                                DynamoDB table name
          -f FILE, --file FILE  UTF-8 CSV file path required import mode
          -o OUTPUT, --output OUTPUT
                                output file path required export mode
        ```
        
        ### Install for developer 
        
        ```shell
        $ python -m venv venv
        $ . venv/bin/activate
        $ python setup.py install
        $ dynamodb-csv -h
        ```
        
        or
        
        ```shell
        $ python -m venv venv
        $ . venv/bin/activate
        $ pip install -r requirements-dev.txt
        $ python app/main.py -h
        ```
        
        ### Create your config.ini file on current directory
        
        ```ini
        [AWS]
        AWS_ACCESS_KEY_ID=your_access_key
        AWS_SECRET_ACCESS_KEY=your_secret_key
        REGION=your_dynamodb_table_region
        ```
        
        ### Create your CSV and CSV spec file
        
        Prepare a UTF-8 CSV file of the format you want to import into your DynamoDB table and a file that defines that format.  
        
        #### For example
        
        Please refer to this writing method.
        
        [sample.csv](sample.csv)
        ```csv
        StringPK,NumberSK,DecimalValue,BooleanValue,NullValue,JsonValue,StringListValues,DecimalListValues
        foo,1,1.23,TRUE,,"[{""string"" : ""value""},{""number"" : 100}]",foo bar baz,10 10.1 20
        foo,2,0.001,,,"[{""boolean"" : true}]",リンゴ バナナ スイカ,10 10.1 20
        foo,3,1,,,"[{""boolean"" : false}]",,
        ```
        
        [sample.csv.spec](sample.csv.spec)
        ```ini
        # sample.csv data format specification
        
        # String : S
        # Integer : I
        # Decimal : D
        # Boolean : B
        # Json : J
        # StringList : SL
        # DecimalList : DL
        
        [CSV_SPEC]
        StringPK=S
        NumberSK=I
        DecimalValue=D
        BooleanValue=B
        NullValue=S
        JsonValue=J
        StringListValues=SL
        DecimalListValues=DL
        ```
        
        ### Create DynamoDB table
        
        You need to have created a DynamoDB table that meets your specifications.
        
        ```shell
        $ aws dynamodb describe-table --table-name my_table
        {
            "Table": {
                "AttributeDefinitions": [
                    {
                        "AttributeName": "NumberSK",
                        "AttributeType": "N"
                    },
                    {
                        "AttributeName": "StringPK",
                        "AttributeType": "S"
                    }
                ],
                "TableName": "my_table",
                "KeySchema": [
                    {
                        "AttributeName": "StringPK",
                        "KeyType": "HASH"
                    },
                    {
                        "AttributeName": "NumberSK",
                        "KeyType": "RANGE"
                    }
                ],
                "TableStatus": "ACTIVE",
                "CreationDateTime": "2022-02-23T15:31:55.141000+09:00",
                "ProvisionedThroughput": {
                    "LastIncreaseDateTime": "2022-02-23T16:37:29.382000+09:00",
                    "NumberOfDecreasesToday": 0,
                    "ReadCapacityUnits": 5,
                    "WriteCapacityUnits": 5
                },
                "TableSizeBytes": 0,
                "ItemCount": 0,
                "TableArn": "arn:aws:dynamodb:ap-northeast-1:XXXXXXXXXX:table/my_table",
                "TableId": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
            }
        }
        ```
        
        ### CSV import into Table
        
        This command requires a CSV spec file in the same directory.  
        
        ```shell
        $ dynamodb-csv -i -t my_table -f sample.csv
        please wait my_table importing sample.csv
        300it [00:00, 19983.03it/s]
        100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 300/300 [00:07<00:00, 40.97it/s]
        my_table csv imported 300 items
        ```
        
        ### Export table to CSV
        
        You will also need to expand the same data to multiple tables.  
        Therefore, data can be exported.  
        As with import, you need a CSV spec file.
        
        ```shell
        $ dynamodb-csv -e -t my_table -o sample_exp.csv 
        please wait my_table exporting sample_exp.csv
        100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 300/300 [00:00<00:00, 16666.77it/s]
        my_table csv exported 300 items
        ```
        
        ### Table truncate
        
        Also, since you may want to erase unnecessary data during the import experiment, we have prepared a command to discard it.
        
        ```shell
        $ dynamodb-csv --truncate -t my_table
        my_table scan 300 items
        please wait my_table truncating
        100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 300/300 [00:07<00:00, 40.95it/s]
        my_table truncated
        ```
        
        ## License
        
        See [LICENSE](LICENSE)
        
Keywords: AWS,DynamoDB,CSV
Platform: UNKNOWN
Requires-Python: >=3.8
Description-Content-Type: text/markdown
