Unload utility for Amazon Redshift
Project description
# redshift-unloader
Unloads the result of a query on Amazon Redshift to local storage.
## Prerequisites
- Python 3.6+
- boto3 1.7.84
- psycopg2 2.7.5
- psycopg2-binary 2.7.5
## Installation
The package is available on PyPI:
```bash
pip install redshift-unloader
```
### Usage
Unloaded data is supposed to be gzipped csv.
```py
from redshift_unloader import RedshiftUnloader
ru = RedshiftUnloader(host='<redshift host>',
port=<redshift port>,
user='<redshift user>',
password='<redshift password>',
database='<redshift database name>',
s3_bucket='<s3 bucket name>',
access_key_id='<aws access key id>',
secret_access_key='<aws secret access key>',
region='<aws region>')
# If you don't need header, set with_header as False
ru.unload(query="SELECT * FROM my_table WHERE log_time >= ''",
filename="/path/to/result.csv.gz",
with_header=True)
```
Unloads the result of a query on Amazon Redshift to local storage.
## Prerequisites
- Python 3.6+
- boto3 1.7.84
- psycopg2 2.7.5
- psycopg2-binary 2.7.5
## Installation
The package is available on PyPI:
```bash
pip install redshift-unloader
```
### Usage
Unloaded data is supposed to be gzipped csv.
```py
from redshift_unloader import RedshiftUnloader
ru = RedshiftUnloader(host='<redshift host>',
port=<redshift port>,
user='<redshift user>',
password='<redshift password>',
database='<redshift database name>',
s3_bucket='<s3 bucket name>',
access_key_id='<aws access key id>',
secret_access_key='<aws secret access key>',
region='<aws region>')
# If you don't need header, set with_header as False
ru.unload(query="SELECT * FROM my_table WHERE log_time >= ''",
filename="/path/to/result.csv.gz",
with_header=True)
```
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