agentic-bi-ecommerce / init-scripts /clickhouse /01_init_realtime.sql
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-- ============================================================
-- INIT SCRIPT: ClickHouse Real-time Analytics
-- Tables for streaming data from Flink
-- ============================================================
-- Real-time order metrics (5-min windows from Flink)
CREATE TABLE IF NOT EXISTS realtime_order_metrics (
window_start DateTime,
window_end DateTime,
order_count UInt32,
total_revenue Decimal64(2),
total_freight Decimal64(2),
avg_order_value Decimal64(2),
unique_customers UInt32,
payment_credit_card UInt32,
payment_boleto UInt32,
payment_voucher UInt32,
payment_debit_card UInt32
) ENGINE = MergeTree()
ORDER BY (window_start)
TTL window_start + INTERVAL 90 DAY;
-- Real-time delivery tracking
CREATE TABLE IF NOT EXISTS realtime_delivery_metrics (
window_start DateTime,
window_end DateTime,
delivered_count UInt32,
avg_delivery_days Float32,
late_count UInt32,
late_percentage Float32,
max_delay_days Int32
) ENGINE = MergeTree()
ORDER BY (window_start)
TTL window_start + INTERVAL 90 DAY;
-- Review sentiment stream
CREATE TABLE IF NOT EXISTS realtime_review_stream (
event_time DateTime,
review_id String,
order_id String,
review_score UInt8,
has_text UInt8,
comment_length UInt32
) ENGINE = MergeTree()
ORDER BY (event_time, review_id)
TTL event_time + INTERVAL 90 DAY;
-- Anomaly alerts
CREATE TABLE IF NOT EXISTS anomaly_alerts (
detected_at DateTime DEFAULT now(),
alert_type String,
metric_name String,
window_start DateTime,
window_end DateTime,
current_value Float64,
baseline_value Float64,
deviation_pct Float64,
z_score Float64,
severity String, -- 'warning', 'critical'
investigated UInt8 DEFAULT 0,
investigation_notes String DEFAULT ''
) ENGINE = MergeTree()
ORDER BY (detected_at, alert_type);
-- Raw events log (for replay/debugging)
CREATE TABLE IF NOT EXISTS raw_events_log (
event_time DateTime,
event_type String,
topic String,
order_id String,
payload String -- JSON string
) ENGINE = MergeTree()
ORDER BY (event_time, event_type)
TTL event_time + INTERVAL 30 DAY;
-- Materialized view: Hourly aggregation
CREATE TABLE IF NOT EXISTS hourly_order_summary (
hour DateTime,
order_count UInt32,
total_revenue Decimal64(2),
avg_order_value Decimal64(2)
) ENGINE = SummingMergeTree()
ORDER BY (hour);
-- Kafka engine table (connects directly to Kafka topic)
-- Uncomment when Kafka is running:
/*
CREATE TABLE IF NOT EXISTS kafka_orders_raw (
order_id String,
customer_id String,
order_status String,
event_type String,
event_time String
) ENGINE = Kafka()
SETTINGS
kafka_broker_list = 'kafka:29092',
kafka_topic_list = 'ecom.orders.created',
kafka_group_name = 'clickhouse_consumer',
kafka_format = 'JSONEachRow',
kafka_num_consumers = 1;
*/