Pgpipeline: An automatic postgres item pipeline for Scrapy

## Project description

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Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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Description: # Pgpipeline: automatic postgres pipeline for Scrapy

A Scrapy pipeline module to persist items to a postgres table automatically.

## Quick Start

Here's an example showing automatic item pipeline, with a custom JSONB field.

python
# settings.py
from sqlalchemy.dialects.postgresql import JSONB

ITEM_PIPELINES = {
'pgpipeline.PgPipeline': 300,
}

PG_PIPELINE = {
'connection': 'postgresql://localhost:5432/scrapy_db',
'table_name': 'demo_items',
'pkey': 'item_id',
'ignore_identical': ['item_id', 'job_id'],
'types': {
'some_data': JSONB
},
'onconflict': 'upsert'
}


All columns, tables, and indices are automatically created.

* pkey: a primary key for this item (other than database-generated id)
* ignore_identical: these are a set of fields by which we identify duplicates and skip insert.
* types: keys specified here will be using the type given, otherwise types are guessed.
* onconflict: upsert|ignore|non-null - ignore will skip inserting on conflict and upsert will update. non-null will upsert only values that are not None and thus avoid removing existing values.

## Developers

Set up a development environment

$pip install -r requirements.txt  ### Development * Dependencies: list them in requirements.txt ### Release * Dependencies: list them in setup.py under install_requires: python install_requires=['peppercorn'],  Then: $ make dist && make release


# Contributing

Fork, implement, add tests, pull request, get my everlasting thanks and a respectable place here :).

### Thanks:

To all [Contributors](https://github.com/jondot/pgpipeline/graphs/contributors) - you make this happen, thanks!

Platform: UNKNOWN

## Project details

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