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Fivetran and the data.world Collector

Note

The latest version of the Collector is 2.138. To view the release notes for this version and all previous versions, please go here.

About the collector

Use this collector to discover Fivetran connectors, jobs, groups, sources, and destinations and perform impact analysis to understand how changes upstream to Fivetran connectors impact downstream systems.

Authentication supported

The Fivetran collector supports the following method for authentication:

What is cataloged

Table 1.

Object

Information cataloged

Groups

Name, Identifier, Creation date

Connectors

Identifier, Succeeded at datetime, Failed at datetime, Created at datetime, Sync frequency, Name, Version, Daily sync time, Schedule type, Setup state, Update state, Pause state, Sync state, Connector type, Connected by user identifier

Connector Jobs

Run state (Failed time, Success time)

Destination

Name, Setup status, Destination type, Identifier, Region

Data source

Data source configuration properties, as configuration key and value pairs.

Database tabular source

Database name, Server, Port, JDBC URL

Non-database tabular source

Datasource ID, Name

Database schema

Name

Destination database

Database name, Server, Port, JDBC URL

Columns

Name



Relationships between objects

By default, the harvested metadata includes catalog pages for the following resource types. Each catalog page has a relationship to the other related resource types. If the metadata presentation for this data source has been customized with the help of the data.world Solutions team, you may see other resource pages and relationships.

Table 2.

Resource page

Relationship

Group

Destinations within group, Connectors within group

Connector

Source associated to connector, group that contains this connector, connector job which was initiated by this connector.

Connector Job

Connector

Fivetran Data Source

Tables that this Fivetran Data Source connects to via Source (file or database), Connector that connects to this Fivetran Data Source

Data Source

Tables within data source. For non-database sources, tabular sources connected via data source

Destination

Tables within destination, group that contains this destination

Table

Column within the table

Column

Table containing the column



Lineage for Fivetran

The Fivetran collector identifies the source columns that destination columns sourced their data from (via copy / load operation).

The collector catalogs all database sources and destinations. Cross-system column-level lineage is currently supported for PostgreSQL, SQL Server, and Snowflake.

Table 3.

Object

Lineage available

Source database columns and tables

Downstream destinations that fields source their data from.



Setting up pre-requisites for running the collector

Make sure that the machine from where you are running the collector meets the following hardware and software requirements.

Table 1.

Item

Requirement

Hardware

RAM

8 GB

CPU

2 Ghz processor

Software

Docker

Click here to get Docker.

Java Runtime Environment

OpenJDK 17 is supported and available here.

data.world specific objects

Dataset

You must have a ddw-catalogs (or other) dataset set up to hold your catalog files when you are done running the collector.



Generating the command or YAML file

This section walks you through the process of generating the command or YAML file for running the collector from Windows or Linux or MAC OS.

To generate the command or YAML file:

  1. On the Organization profile page, go to the Settings tab > Metadata collectors section.

  2. Click the Help me set up a collector button.

  3. On the On-prem collector setup prerequisites screen, read the pre-requisites and click Next.

  4. On the On which platform will this collector execute? screen, select if you will be running the collector on Windows or Mac OS or Linux. This will determine the format of the YAML and CLI that is generated in the end. Click Next.

    general_01.png

  5. On the Choose metadata collector type you would like to setup screen, select Fivetran. Click Next.

  6. On the Configure a new on premises Fivetran Collector screen, set the following properties and click Next.

    fivetran_01.png

  7. On the next screen, set the following and click Next.

    fivetran_02.png
    Table 3.

    Field name

    Corresponding parameter name

    Description

    Required?

    Fivetran API key

    --fivetran-apikey=<apiKey>

    The Fivetran API key used to authenticate to the REST API.

    Yes

    Fivetran secret

    --fivetran-apisecret=<apiSecret>

    The Fivetran secret used to authenticate to the REST API.

    Yes

    Exclude groups

    --fivetran-exclude-group=<excludedGroupNames>

    Exclude the specified Fivetran group's contents from the catalog.

    No

    Include only groups

    --fivetran-include-group=<includedGroupNames>

    Include only the specified Fivetran group's contents in the catalog

    No



  8. On the Finalize your Fivetran Collector configuration screen, you are notified about the environment variables and directories you need to setup for running the collector. Select if you want to generate a Configuration file( YAML) or Command line arguments (CLI). Click Next.

    Important

    You must ensure that you have set up these environment variables and directories before you run the collector.

    fivetran_03.png

  9. The next screen gives you an option to download the YAML configuration file or copy the CLI command. Click Done. If you are generating a YAML file, click Next.

    fivetran_06.png

    Sample YAML file.

    fivetran_04.png

  10. The Fivetran command screen gives you the command to use for running the collector using the YAML file.

    fivetran_05.png

  11. You will notice that the YAML/CLI has following additional parameters that are automatically set for you.

    Important

    Except for the collector version, you should not change the values of any of the parameter listed here.

    Table 4.

    Parameter name

    Details

    Required?

    -a= <agent>

    --agent= <agent>

    --account= <agent>

    The ID for the data.world account into which you will load this catalog - this is used to generate the namespace for any URIs generated.

    Yes

    --site= <site>

    This parameter should be set only for Private instances. Do not set it for public instances and single-tenant installations. Required for private instance installations.

    Yes

    (required for private instance installations)

    -U

    --upload

    Whether to upload the generated catalog to the organization account's catalogs dataset.

    Yes

    -L

    --no-log-upload

    Do not upload the log of the Collector run to the organization account's catalogs dataset.

    Yes

    dwcc: <CollectorVersion>

    The version of the collector you want to use (For example, datadotworld/dwcc:2.113)

    Yes



Verifying environment variables and directories

  1. Verify that you have set up all the required environment variables that were identified by the Collector Wizard before running the collector. Alternatively, you can set these credentials in a credential vault and use a script to retrieve those credentials.

  2. Verify that you have set up all the required directories that were identified by the Collector Wizard.

Running the collector

Important

Before you begin running the collector make sure you have the correct version of collectors downloaded and available.

Running collector using YAML file

  1. Go to the server where you have setup docker to run the collector.

  2. Make sure you have download the correct version of collectors. This version should match the version of the collector specified in the command you are using to run the collector.

  3. Place the YAML file generated from the Collector wizard to the correct directory.

  4. From the command line, run the command generated from the application for executing the YAML file.

    Caution

    Note that is just a sample command for showing the syntax. You must generate the command specific to your setup from the application UI.

    docker run -it --rm --mount type=bind,source=${HOME}/dwcc,target=/dwcc-output \
  --mount type=bind,source=${HOME}/dwcc,target=${HOME}/dwcc -e DW_AUTH_TOKEN=${DW_AUTH_TOKEN} \
  -e DW_FIVETRAN_SECRET=${DW_FIVETRAN_SECRET} datadotworld/dwcc:2.124 \
  --config-file=/dwcc-output/config-fivetran.yml

  5. The collector automatically uploads the file to the specified dataset and you can also find the output at the location you specified while running the collector.

  6. At a later point, if you download a newer version of collector from Docker, you can edit the collector version in the generated command to run the collector with the newer version.

Running collector without the YAML file

  1. Go to the server where you have setup docker to run the collector.

  2. Make sure you have download the version of collectors from here. This version should match the version of the collector specified in the command you are using to run the collector.

  3. From the command line, run the command generated from the application. Here is a sample command.

    Caution

    Note that is just a sample command for showing the syntax. You must generate the command specific to your setup from the application UI.

    docker run -it --rm --mount type=bind,source=${HOME}/dwcc,target=/dwcc-output \
  --mount type=bind,source=${HOME}/dwcc,target=${HOME}/dwcc datadotworld/dwcc:2.124 \
  catalog-fivetran --agent=8bank-catalog-sources --site=solutions \
  --no-log-upload=false --upload=true --api-token=${DW_AUTH_TOKEN} \
  --name=8bank-catalog-sources-collection --output=/dwcc-output \
  --upload-location=ddw-catalogs --fivetran-apikey=233442 --fivetran-apisecret=${DW_FIVETRAN_SECRET}

  4. The collector automatically uploads the file to the specified dataset and you can also find the output at the location you specified while running the collector.

  5. At a later point, if you download a newer version of collector from Docker, you can edit the collector version in the generated command to run the collector with the newer version.

Collector runtime and troubleshooting

The catalog collector may run in several seconds to many minutes depending on the size and complexity of the system being crawled. If the catalog collector runs without issues, you should see no output on the terminal, but a new file that matching *.dwec.ttl should be in the directory you specified for the output. If there was an issue connecting or running the catalog collector, there will be either a stack trace or a *.log file. Both of those can be sent to support to investigate if the errors are not clear. A list of common issues and problems encountered when running the collectors is available here.

Automating updates to your metadata catalog

Keep your metadata catalog up to date using cron, your Docker container, or your automation tool of choice to run the catalog collector on a regular basis. Considerations for how often to schedule include:

  • Frequency of changes to the schema

  • Business criticality of up-to-date data

For organizations with schemas that change often and where surfacing the latest data is business critical, daily may be appropriate. For those with schemas that do not change often and which are less critical, weekly or even monthly may make sense. Consult your data.world representative for more tailored recommendations on how best to optimize your catalog collector processes.

In this section: