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dynamodb-csv-1.5.0
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مشاهده بیشترتوضیحات
A utility that allows CSV import / export to DynamoDB on the command line
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dynamodb-csv-1.5.0 |
| نام | dynamodb-csv |
| نسخه کتابخانه | 1.5.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | danishi |
| ایمیل نویسنده | dns2developer@gmail.com |
| آدرس صفحه اصلی | https://github.com/danishi/dynamodb-csv |
| آدرس اینترنتی | https://pypi.org/project/dynamodb-csv/ |
| مجوز | MIT |
# DynamoDB CSV utility
[](https://github.com/danishi/DynamoDBImportCSV/actions/workflows/ci.yaml)
[](https://codecov.io/gh/danishi/dynamodb-csv)
[](https://svgshare.com/i/Zhy.svg)
[](https://svgshare.com/i/ZjP.svg)
[](https://svgshare.com/i/ZhY.svg)
[](https://badge.fury.io/py/dynamodb-csv)
[](https://pepy.tech/project/dynamodb-csv)
[](https://pepy.tech/project/dynamodb-csv)
[](https://pepy.tech/project/dynamodb-csv)
[](https://hub.docker.com/r/danishi/dynamodb-csv)
[](https://www.buymeacoffee.com/danishi)
A utility that allows CSV import / export to DynamoDB on the command line
Give a ⭐️ if you like this tool!
## Introduction
I made this command because I didn't have any tools to satisfy my modest desire to make it easy to import CSV files into DynamoDB.
Written in a simple Python script, it's 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: dynamodb-csv [-h] [-v] [-i] [-e] [--truncate] [--move] -t [TABLE ...] [-idx INDEX] [-f FILE] [-o OUTPUT] [--ignore]
[--profile PROFILE]
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
--move mode move
-t [TABLE ...], --table [TABLE ...]
DynamoDB table name
-idx INDEX, --index INDEX
DynamoDB index name
-f FILE, --file FILE UTF-8 CSV file path required import mode
-o OUTPUT, --output OUTPUT
output file path required export mode
--ignore ignore import error
--profile PROFILE using AWS profile
```
### 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
$ export PYTHONPATH=`pwd`
$ python app/main.py -h
```
For Windows
```shell
> python -m venv venv
> venv\Scripts\activate
> pip install -r requirements-dev.txt
> set PYTHONPATH=%cd%
> python app/main.py -h
```
Or you can use devcontainer.
### [Use Docker image](https://hub.docker.com/r/danishi/dynamodb-csv)
```shell
$ docker run --rm -v ${PWD}/:/local danishi/dynamodb-csv:tagname -i -t my_table -f sample.csv
```
For Windows
```shell
> docker run --rm -v %cd%/:/local danishi/dynamodb-csv:tagname -i -t my_table -f sample.csv
```
Or [GitHub Packages](https://github.com/danishi/dynamodb-csv/pkgs/container/dynamodb-csv)
### 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
# Option
#ENDPOINT_URL=http://dynamodb-local:8000
```
Not required if AWS profile is specified as a parameter.
### 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 (blank false)
# Json : J
# StringList : SL
# StringSet : SS
# DecimalList : DL
# DecimalSet : DS
[CSV_SPEC]
StringPK=S
NumberSK=I
DecimalValue=D
BooleanValue=B
NullValue=S
JsonValue=J
StringListValues=SL
StringSetValues=SS
DecimalListValues=DL
DecimalSetValues=DS
```
### Create DynamoDB table
You need to have created a DynamoDB table that meets your specifications.
```shell
$ aws dynamodb create-table --cli-input-json file://my_table.json --region ap-northeast-1
$ 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": "2022-06-26T21:19:21.767000+09:00",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 5,
"WriteCapacityUnits": 5
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:ap-northeast-1:XXXXXXXXXXX:table/my_table",
"TableId": "XXXXXXXX-925b-4cb1-8e3a-604158118c3f",
"GlobalSecondaryIndexes": [
{
"IndexName": "NumberSK-index",
"KeySchema": [
{
"AttributeName": "NumberSK",
"KeyType": "HASH"
}
],
"Projection": {
"ProjectionType": "INCLUDE",
"NonKeyAttributes": [
"DecimalValue",
"JsonValue"
]
},
"IndexStatus": "ACTIVE",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 5,
"WriteCapacityUnits": 5
},
"IndexSizeBytes": 0,
"ItemCount": 0,
"IndexArn": "arn:aws:dynamodb:ap-northeast-1:XXXXXXXXXXX:table/my_table/index/NumberSK-index"
}
]
}
}
```
### 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
```
It is processed at high speed by batch write.
#### Ignore option
If there is an error such as a key schema mismatch, you can give the option to ignore the CSV record.
```shell
$ dynamodb-csv -i -t my_table -f sample.csv --ignore
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 299 items and 1 error items
```
No batch write is done when this option is used.
#### Import options
By default, if CSV has an empty value, it will be set to empty.
There are options to convert this to Null or not to set the attribute itself.
```ini
[IMPORT_OPTION]
ConvertBlankToNullAttrs=NullValue,JsonValue
ConvertBlankToDropAttrs=DecimalValue
```
### 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
```
#### Use index
```shell
$ dynamodb-csv -e -t my_table -idx NumberSK-index -o sample_gsi_exp.csv
```
#### Use Query
```shell
$ dynamodb-csv -e -t my_table -idx NumberSK-index -o sample_query_exp.csv
```
```ini
# sample_query_exp.csv data format specification
# Integer : I
# String : S
# Decimal : D
# Json : J
[QUERY_OPTION]
PKAttribute=NumberSK
PKAttributeValue=1
PKAttributeType=I
[CSV_SPEC]
NumberSK=I
StringPK=S
DecimalValue=D
JsonValue=J
```
##### Query options
* `PKAttribute` : Partition key attribute name
* `PKAttributeValue` : Partition key attribute query value
* `PKAttributeType` : Partition key attribute data type
* `SKAttribute` : Sort key attribute name
* `SKAttributeValues` : Sort key attribute query value or values
* ex. `foo` or `foo,bar`
* `SKAttributeType` : Sort key attribute data type
* `SKAttributeExpression` : Sort key attribute query expression [ex.](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/customizations/dynamodb.html#dynamodb-conditions)
* `begins_with` `between` `eq` `gt` `gte` `lt` `lte`
```shell
$ dynamodb-csv -e -t my_table -o sample_query_exp2.csv
```
```ini
[QUERY_OPTION]
PKAttribute=StringPK
PKAttributeValue=bar
PKAttributeType=S
SKAttribute=NumberSK
SKAttributeValues=50,100
SKAttributeType=I
SKAttributeExpression=between
```
### 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
```
### Table move
Move all items from table to table.
A table with the same schema must be prepared in advance.
```shell
$ dynamodb-csv --move -t my_table_from my_table_to
my_table_from scan 300 items
please wait my_table_to moving
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 300/300 [00:15<00:00, 20.00it/s]
my_table_to moved 300 items
```
## License
See [LICENSE](LICENSE)
## Special Thanks
### Code contributors 🤝
<a href="https://github.com/danishi/dynamodb-csv/graphs/contributors">
<img src="https://contrib.rocks/image?repo=danishi/dynamodb-csv" />
</a>
## Appendix
### User guide
- [User guide (for japanese)](https://danishi.github.io/dynamodb-csv/)
نیازمندی
| مقدار | نام |
|---|---|
| - | boto3 |
| - | configparser |
| - | tqdm |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl dynamodb-csv-1.5.0:
pip install dynamodb-csv-1.5.0.whl
نصب پکیج tar.gz dynamodb-csv-1.5.0:
pip install dynamodb-csv-1.5.0.tar.gz