Clevertap

Guide to integrate your Clevertap with Sprinkle

Datasource Concepts

Before setting up the datasource, learn about datasource concepts here

Step by Step Guide

STEP-1: Configure Connection

To learn about Connection, refer here

• Log into Sprinkle application

• Navigate to Datasources -> Connections Tab -> New Connection ->

• Select Clevertap

• Provide all the mandatory details

  • Name: Name to identify this connection

  • Account Id

  • Account Passcode

  • No of days

  • Location : Refer this

  • Advance Settings : Refer here

• Test Connection

• Create

STEP-2: Configure Datasource

To learn about datasource, refer here

• Navigate to Datasources -> Datasources Tab -> Add ->

• Select Clevertap

• Provide the name -> Create

• Connection Tab:

  • From the drop-down, select the name of connection created in STEP-2

  • Update

STEP-3: Create Dataset

Datasets Tab: To learn about Dataset, refer here. Add Dataset for each report/dataset that you want to integrate, providing following details

• Report Type (Required)

  • MESSAGES

  • ALL_USER_PROFILES

  • USER_PROFILES_PER_EVENT

    • Event Name

    • Campaign Level: Yes, if need user data per campaign level

    • Start Date: Format:YYYY-MM-DD. Data will be fetched from start date, for every run

  • GET_EVENT

    • Event Name

  • REAL_TIME_COUNT

    • User Type: If true, will return user by type

  • TRENDS

    • Event Name

    • Group Name: Multiple Group names should be comma separated. For more details Group trend type will be daily.

  • TOP_PROPERTY_COUNT

    • Event Name

    • Group Name: Multiple Group names should be comma separated. For more details Group trend type will be daily.

    • Property Type: For more details

    • Property Name: For more details

• Destination Schema (Required) : Data warehouse schema where the table will be ingested into

• Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<datasourcename>_<tablename>

• Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. Learn more on how to use this field.

• Create

STEP-4: Run and schedule Ingestion

In the Ingestion Jobs tab:

• Trigger the Job, using Run button

• To schedule, enable Auto-Run. Change the frequency if needed

Advanced Connection Settings

• API Read Timeout (In seconds) : Maximum time of inactivity between two data packets when waiting for the server's response. The default value is 30 seconds.

• API Connection Timeout (In seconds) : Time period within which a connection between a client and a server must be established.

• Retry Limit : Number of retries allowed when an API call fails. For example if an API call fails and retry limit is 5 then it will check 5 times for that API call and if it succeeded then it will stop checking.

• Retry Sleep Time (In milliseconds) : Given time, after which retry should happen in case an API call fails.

• Incremental Batch Size (In days) : No. of days in one batch for which data is being downloaded during incremental ingestion.