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About Collectors

Collectors are extractors that are developed and managed by you (A customer of K).

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  1. Deploying and orchestrating the extract code

  2. Managing a high water mark so the extract only pull the latest metadata

  3. Storing and pushing the extracts to your K instance.

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Pre-requisites

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Python 3.6 - 3.9

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Collector Server Minimum Requirements

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Collector Method
Collector Method
nameCollectorServerSpec
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Redshift Requirements

  • Access to Redshift (see section below)

Redshift Access

Log into Redshift as a Superuser. Superuser access is required to complete the following steps.

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The collector requires a set of parameters to connect to and extract metadata from Redshift.

FIELD

FIELD TYPE

DESCRIPTION

EXAMPLE

host

string

Redshift host.

This value must to match the host name onboarded in K.

abc123.redshift.amazonaws.com

server

string

Redshift DNS Name / IP address used to construct the connection string.

This allows the collector to connect to Redshift on a different IP / DNS Name to the onboarded host name in K.

In most cases this value will be the same as host, unless you are unable to connect using the host name due to networking configurations.

abc123.redshift.amazonaws.com

OR

10.1.1.2

username

string

Username to log into Redshift

“test”

password

string

Password to log into the Redshift

databases

list<string>

A list of databases to extract from Redshift

[“dwh”, “adw”]

port

integer

Redshift port, general default is 5439

5439

tunnel

boolean

Are you establishing an SSH tunnel to get to your redshift? If so specify true so it changes the connection to localhost.

The SSH tunnel needs to be established before running the collector.

false

output_path

string

Absolute path to the output location where files are to be written

“/tmp/output”

mask

boolean

To enable masking or not

true

compress

boolean

To gzip the output or not

true

These parameters can be added directly into the run or you can use pass the parameters in via a JSON file. The following is an example you can use that is included in the example run code below.

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Code Block
languagepy
import os
import argparse
from kada_collectors.extractors.utils import load_config, get_hwm, publish_hwm, get_generic_logger
from kada_collectors.extractors.redshift import Extractor

get_generic_logger('root') # Set to use the root logger, you can change the context accordingly or define your own logger

_type = 'redshift'
dirname = os.path.dirname(__file__)
filename = os.path.join(dirname, 'kada_{}_extractor_config.json'.format(_type))

parser = argparse.ArgumentParser(description='KADA Redshift Extractor.')
parser.add_argument('--config', '-c', dest='config', default=filename, help='Location of the configuration json, default is the config json in the same directory as the script.')
parser.add_argument('--name', '-n', dest='name', default=_type, help='Name of the collector instance.')
args = parser.parse_args()

start_hwm, end_hwm = get_hwm(_typeargs.name)

ext = Extractor(**load_config(args.config))
ext.test_connection()
ext.run(**{"start_hwm": start_hwm, "end_hwm": end_hwm})

publish_hwm(_type, end_hwm)

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