Clevertap
Guide to integrate your Clevertap with Sprinkle
Last updated
Guide to integrate your Clevertap with Sprinkle
Last updated
Before setting up the datasource, learn about datasource concepts
To learn about Connection, refer
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
Advance Settings : Refer
Test Connection
Create
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
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
TOP_PROPERTY_COUNT
Event Name
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>
Create
In the Ingestion Jobs tab:
Trigger the Job, using Run button
To schedule, enable Auto-Run. Change the frequency if needed
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.
To learn about datasource, refer
Datasets Tab: To learn about Dataset, refer . Add Dataset for each report/dataset that you want to integrate, providing following details
Group Name: Multiple Group names should be comma separated. Group trend type will be daily.
Group Name: Multiple Group names should be comma separated. Group trend type will be daily.
Property Type:
Property Name:
Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. on how to use this field.