Google Analytics MCF

Guide to integrate your Google Analytics MCF with Sprinkle

Datasource Concepts

Before setting up the datasource, learn about datasource concepts here

To learn about Connection, refer here

Log into Sprinkle application
Navigate to Datasources -> Connections Tab -> New Connection ->
Select Google Analytics MCF
Provide all the mandatory details
- Name: Name to identify this connection
- Connect to Google
- Advance Settings: Refer here
After pressing Connect to Google, you will see authorise screen to allow permissions required for sprinkle to read data. Press Allow
Test Connection
Create

To learn about datasource, refer here

Navigate to Datasources -> Datasources Tab -> Add ->
Select Google Analytics MCF
Provide the name -> Create
Connection Tab:
- From the drop-down, select the name of connection created in STEP-2
- Update

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

Account Id (Required) : GA Account
View Id (Required) : Select Project/View available in this account
Metrics (Required) : Select upto 10 metrics
Dimensions (Optional) : Select upto 7 dimensions to aggregate your metrics on
Start Date (Required) : Pull the data from this date: Format is YYYY-MM-DD
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

In the Ingestion Jobs tab:

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.
Version : It gives information about the version of Google Analytics MCF API being used.
Max Records : Field sets the max limit on the number of records that can be downloaded during each API call.

All the datasets can have following fields.

Last updated 12 months ago