Hubspot
Guide to integrate your Hubspot data to Sprinkle
Pipeline Concepts
Before setting up the pipeline, learn about pipeline concepts here
Step by Step Guide
STEP-1: Configure Connection
To learn about Connection, refer here
Log into Sprinkle application
Navigate to Ingest -> Connections Tab -> New Connection ->
Select Hubspot
Provide all the mandatory details
Name: Name to identify this connection
Connect to Hubspot
Advance Settings : Refer here
Test Connection
Create
STEP-2: Configure Pipeline
To learn about datasource, refer here
Navigate to Ingest -> Pipeline Tab -> Add ->
Select Hubspot
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
Table Type (Required)
Deals, Contacts, Companies, Products, Tickets
All Properties
Multi-Select
Properties List
Events, Contact_List, Engagements, Forms, Email_Campaigns, Email_Subscription, Email_Subscription_Timeline
Email_Events, Marketing_Email_Statistics
Start Date
Batch Size
Properties
Properties Object Size: Select from CONTACTS, DEALS, COMPANIES, TICKETS, PRODUCTS
Form_Submissions
All Forms
Multi-Select
Form List
Analytics_Report
Object Type: The type of object that you want the analytics data for.for more details see this. Choose from EVENTCOMPLETIONS, FORMS, PAGES, SOCIAL_ASSISTS
Time Period: The time period used to group the data.You must include at least 1 filter when the :time_period is monthly, weekly, or daily. for more details see this. Choose from TOTAL, DAILY, WEEKLY, MONTHLY, SUMMARIZE_DAILY, SUMMARIZEWEEKLY, SUMMARIZE_MONTHLY
Filter: Filter the returned data to include only the specified breakdown. You must include at least 1 filter when the time_period is monthly, weekly, or daily. For example, when breaking down by sources and using d1=organic to drill down into organic search traffic, you can get the data for the specific keywords `hubspot` and `marketing` using f=hubspot&f=marketing. for more details see this
Start Date: From given date records will be downloaded. Date format must be YYYY-MM-DD.
Batch Size: Number of days for which records will be fetched in one run.
Flatten Level(Required) : Select One Level or Multi Level. In one level, flattening will not be applied on complex type. They will be stored as string. In multi level, flattening will be applied in complex level till they become simple type.
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_<pipelinename>_<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.
Version: Hubspot library version
Max Records : Maximum number of records to ingest in one run.
Dataset Fields
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