Loading data into File

This guide explains how to load data into File for further analysis.

Introduction

Use the File destination to load data into generic file servers accessible via FTP, FTPS, SFTP, or SMB.

Prerequisites

Before you complete the procedure in this guide, perform all of the following actions:

  • Create a datastream whose data you want to load into File. For more information on creating a datastream, see Creating a datastream.

  • Ensure you have login details to the destination with the following permissions:

    • Read, write, and delete files and folders.

    • List folders.

Procedure

To load data from a datastream into File, follow these steps:

  1. Add File as a destination to the workspace which contains the datastream or to one of its parent workspaces.

  2. Assign the File destination to the datastream.

    You can assign as many destinations to a datastream as you want.

    Some destinations require specific Data Mapping, such as Hubspot and Facebook Offline Conversions. If these Data Mapping requirements conflict, the destinations cannot be assigned to the same datastream.

  3. Configure load settings.

Adding File as a destination

To add File as a destination to a workspace, follow these steps:

  1. Select the workspace you work with in Adverity and then, in the platform navigation menu, click Destinations.

  2. Click + Add Destination.

  3. Click File.

  1. Click Setup a new Authorization.

  2. Click Next.

  1. Select one of the following options:

    • To connect to the file server with your username and password, click File, and then log in with your credentials.

    • To connect to the file server with an SFTP public key, click SFTP Public Key. If you are using an RSA key file to authorize the connection, ensure that the key is in OpenSSH format. For more information, see Setting up an authorization to SFTP server with a public key.

  1. In the Configuration page, fill in the following fields:

    Name

    (Optional) Rename the destination.

    Destination URL

    In the drop-down on the left, select the file server type. In the text field in the middle, enter the base URL of the file server. In the text field on the right, enter the path to the folder into which you want to load data. Click Test to check the authorization.

    Output format

    Select the data format that Adverity uses to load data into the destination.

    When you load data in AVRO file format, select AVRO to use the null codec, or AVRO (deflate) to use the deflate codec. For more information on codecs, see the Apache documentation.

    For more information on advanced configuration settings, see Advanced File destination configuration.

  1. Click Create.

Assigning File as a destination

To assign the File destination to a datastream, follow these steps:

  1. Select the workspace you work with in Adverity and then, in the platform navigation menu, click Datastreams.

  2. Open the chosen datastream by clicking on its name.

  1. In the External destinations section, click + Assign destination.

  2. Click Assign existing destination.

  1. Select the File checkbox in the list.

  2. Click Save.

Configuring settings for loading data into File

To configure the settings for loading data into File, follow these steps:

  1. Select the workspace you work with in Adverity and then, in the platform navigation menu, click Datastreams.

  2. Open the chosen datastream by clicking on its name.

  1. In the Destinations section, find the File destination in the list, and click on the right.

  2. Click Destination settings.

  1. Fill in the following fields:

    Filename

    Specify the target file in the destination into which to load data from the datastream. The name can contain alphanumeric characters and underscores. For example, target_file.

    To load data into sub-folders within the folder defined in the Destination URL field, specify a file path. For example, folder1/target_file.

    By default, Adverity saves data from each datastream in a different file named {datastream_type}_{datastream_id}_{scheduled_year}_{scheduled_month}_{scheduled_day}.

    If you specify the same target file for more than one datastream, the existing file will be overwritten with the new data.

    Use placeholders to create unique, dynamic file names in the destination. Use the following placeholders:

    Placeholder

    Description

    {app_label}

    The Datastream Type's short name.

    {datastream_id}

    The datastream ID.

    {datastream_type}

    The Datastream Type.

    {extension}

    The file extension of the data extract.

    {extract_id}

    The data extract ID.

    {id}

    The datastream ID.

    {meta[*]}

    Replace * with a metadata placeholder to use metadata in the file name. For example, {meta[datastream_URI]} uses the datastream URI as the file name. For more information on metadata and placeholders, see Using placeholders.

    {name}

    The automatically generated filename of the data extract.

    {scheduled_day}

    The day when the data fetch was scheduled to run.

    {scheduled_month}

    The month when the data fetch was scheduled to run.

    {scheduled_year}

    The year when the data fetch was scheduled to run.

    {upload_day}

    The day when the data extract is loaded into the File destination.

    {upload_hour}

    The hour when the data extract is loaded into the File destination.

    {upload_minute}

    The minute when the data extract is loaded into the File destination.

    {upload_month}

    The month when the data extract is loaded into the File destination.

    {upload_second}

    The second when the data extract is loaded into the File destination.

    {upload_year}

    The year when the data extract is loaded into the File destination.

  2. Click Save.