Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Scroll ignore
scroll-viewporttrue
scroll-pdftrue
scroll-officetrue
scroll-chmtrue
scroll-docbooktrue
scroll-eclipsehelptrue
scroll-htmltrue
scroll-epubtrue

Open in new tab

About Collectors

Insert excerpt
Collector Method
Collector Method
nameabout

...

Pre-requisites

...

Python 3.6 - 3.10

...

Collector Server Minimum Requirements

Insert excerpt
Collector Method
Collector Method
nameCollectorServerSpec
nopaneltrue

Hevo Requirements

  • Access toHevo

...

Step 1: Create Hevo API key/Secret

...

Some python packages also have dependencies on the OS level packages, so you may be required to install additional OS packages if the below fails to install.

You can download the Latest latest Core Library and Athena whl via Platform Settings → SourcesDownload Collectors

...

You will also need to install the common library kada_collectors_lib -1.0.0 for this collector to function properly.

...

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

FIELD

FIELD TYPE

DESCRIPTION

EXAMPLE

api_key

string

API Key for Hevo

 

api_secret

string

Secret for the API Key

 

region

string

Region prefix as per https://docs.hevodata.com/getting-started/creating-your-hevo-account/regions/

au

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

timeout

integer

Timeout in seconds allowed against the Fivetran APIs

20

mapping

JSON

Mapping file of data source names against the onboarded host and database name in K

Assuming I have a “myDSN” data source name in powerbi, I’ll map it to host “myhost” and database “mydatabase” onboarded in K, snowflake type references are handled automatically

Code Block
{
        "myDSN": {
            "host": "myhost",
            "database": "mydatabase"
        }
    }

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.

...

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

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

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

parser = argparse.ArgumentParser(description='KADA Hevo 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.')
aparser.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)

...