Files
clickstream-ch-kafka-supers…/ddl/40_dm.sql
T
ddadmin 6bbb26b9b3 feat(infra): implement batch transformation layer and comprehensive documentation
Add batch ETL pipeline with ODS→DDS→DM transformation jobs and scripts.
Create DDL infrastructure with automated database schema application.
Update Makefile with transform target for executing batch processes.
Rewrite README with complete Russian documentation including architecture
diagrams, quick start guide, and data flow visualization.
2026-02-06 21:58:17 +03:00

118 lines
3.2 KiB
SQL

-- DM layer: Data Marts for BI (Superset)
-- Views for enriched data and pre-computed aggregations
-- Main enriched view: event + click context
CREATE VIEW IF NOT EXISTS dm.v_events_enriched AS
SELECT
e.event_id,
e.event_ts,
e.event_date,
e.event_type,
e.click_id,
e.page_url,
e.page_url_path,
e.referer_url,
e.referer_medium,
e.utm_medium,
e.utm_source,
e.utm_content,
e.utm_campaign,
e.browser_name,
e.browser_language,
e.browser_user_agent,
c.user_domain_id,
c.user_custom_id,
c.device_type,
c.device_is_mobile,
c.os_name,
c.os_timezone,
c.geo_country,
c.geo_region_name,
c.geo_timezone,
c.geo_latitude,
c.geo_longitude,
c.ip_address,
e.dds_update_ts,
arrayConcat(e.ods_parse_errors, c.ods_parse_errors) AS parse_errors
FROM dds.event AS e
LEFT JOIN dds.click AS c ON c.click_id = e.click_id;
-- Daily traffic aggregation
CREATE VIEW IF NOT EXISTS dm.v_daily_traffic AS
SELECT
event_date,
geo_country,
device_type,
browser_name,
utm_source,
utm_medium,
count() AS events,
uniqExact(click_id) AS uniq_clicks,
uniqExact(user_domain_id) AS uniq_users
FROM dm.v_events_enriched
WHERE event_ts IS NOT NULL
GROUP BY
event_date,
geo_country,
device_type,
browser_name,
utm_source,
utm_medium;
-- Top pages daily
CREATE VIEW IF NOT EXISTS dm.v_top_pages_daily AS
SELECT
event_date,
page_url_path,
count() AS pageviews,
uniqExact(click_id) AS uniq_clicks
FROM dm.v_events_enriched
WHERE event_type = 'pageview'
GROUP BY event_date, page_url_path;
-- Data Quality errors daily
CREATE VIEW IF NOT EXISTS dm.v_dq_errors_daily AS
SELECT
event_date,
arrayJoin(parse_errors) AS error_code,
count() AS rows_cnt
FROM dm.v_events_enriched
WHERE length(parse_errors) > 0
GROUP BY event_date, error_code;
-- User sessions overview (approximate, by click_id within 30min windows)
CREATE VIEW IF NOT EXISTS dm.v_session_overview AS
SELECT
event_date,
user_domain_id,
click_id,
min(event_ts) AS session_start,
max(event_ts) AS session_end,
date_diff('minute', min(event_ts), max(event_ts)) AS session_duration_min,
count() AS events_count,
arrayDistinct(groupArray(page_url_path)) AS pages_visited,
arrayDistinct(groupArray(geo_country)) AS countries,
arrayDistinct(groupArray(device_type)) AS devices,
groupArraySample(1, 1919)(utm_source)[1] AS utm_source_last,
groupArraySample(1, 1919)(utm_medium)[1] AS utm_medium_last
FROM dm.v_events_enriched
WHERE user_domain_id IS NOT NULL
GROUP BY event_date, user_domain_id, click_id;
-- UTM effectiveness (for marketing analysis)
CREATE VIEW IF NOT EXISTS dm.v_utm_effectiveness AS
SELECT
event_date,
utm_source,
utm_medium,
utm_campaign,
count() AS clicks,
uniqExact(user_domain_id) AS uniq_users,
uniqExact(click_id) AS uniq_sessions,
countIf(event_type = 'pageview') AS pageviews,
countIf(event_type = 'purchase') AS purchases,
countIf(event_type = 'add_to_cart') AS add_to_carts
FROM dm.v_events_enriched
WHERE utm_source IS NOT NULL OR utm_medium IS NOT NULL
GROUP BY event_date, utm_source, utm_medium, utm_campaign;