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Learn more about syncing Heap data


Detailed documentation on how to start syncing Heap data.

Heap Documentation


Jumpstart your Heap analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Heap data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Heap. Here’s a look at code for modeling Heap data. This particular block of code sessionizes your Heap data.

View the source on GitHub →
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 {% macro heap_sessions() %} {{ adapter_macro('heap.heap_sessions') }} {% endmacro %} {% macro default__heap_sessions() %} {% set window_clause = "over (partition by session_id order by session_start_time rows between unbounded preceding and unbounded following )" %} {% set last_value_columns = [ 'user_id', 'session_start_time', 'library', 'platform', 'device', 'device_type', 'carrier', 'app_name', 'app_version', 'country', 'region', 'city', 'ip', 'referrer', 'landing_page', 'browser', 'search_keyword', 'utm_source', 'utm_campaign', 'utm_medium', 'utm_term', 'utm_content' ]%} with base as ( select * from {{var('sessions_table')}} ), cleaned as ( select user_id, session_id, {{heap.time_field('session_start_time')}}, library, platform, device, device_type, carrier, app_name, app_version, country, region, city, ip, referrer, rtrim(landing_page, '/') as landing_page, browser, search_keyword, nullif(utm_source, '') as utm_source, nullif(utm_campaign, '') as utm_campaign, nullif(utm_medium, '') as utm_medium, nullif(utm_term, '') as utm_term, nullif(utm_content, '') as utm_content from base ), deduped as ( --this sucks to have to do but heap frequently sends duplicate session data --and it forces us to have to deduplicate based on session_id in modeling select distinct session_id, {% for column in last_value_columns %} last_value({{ column }}) {{window_clause}} as {{ column }} {% if not loop.last%} , {% endif %} {% endfor %} from cleaned ) select * from deduped {% endmacro %}

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