[WIP] Workflows
This commit is contained in:
@@ -1,10 +1,15 @@
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-- Migration: TimescaleDB Entity History and Analytics
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-- Description: Creates append-only history hypertables for execution, worker, enforcement,
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-- and event tables. Uses JSONB diff format to track field-level changes via
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-- PostgreSQL triggers. Includes continuous aggregates for dashboard analytics.
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-- Consolidates former migrations: 20260226100000 (entity_history_timescaledb),
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-- 20260226200000 (continuous_aggregates), and 20260226300000 (fix + result digest).
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-- Description: Creates append-only history hypertables for execution and worker tables.
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-- Uses JSONB diff format to track field-level changes via PostgreSQL triggers.
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-- Converts the event, enforcement, and execution tables into TimescaleDB
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-- hypertables (events are immutable; enforcements are updated exactly once;
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-- executions are updated ~4 times during their lifecycle).
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-- Includes continuous aggregates for dashboard analytics.
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-- See docs/plans/timescaledb-entity-history.md for full design.
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--
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-- NOTE: FK constraints that would reference hypertable targets were never
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-- created in earlier migrations (000004, 000005, 000006), so no DROP
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-- CONSTRAINT statements are needed here.
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-- Version: 20250101000009
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-- ============================================================================
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@@ -114,67 +119,76 @@ CREATE INDEX idx_worker_history_changed_fields
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COMMENT ON TABLE worker_history IS 'Append-only history of field-level changes to the worker table (TimescaleDB hypertable)';
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COMMENT ON COLUMN worker_history.entity_ref IS 'Denormalized worker name for JOIN-free queries';
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-- ----------------------------------------------------------------------------
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-- enforcement_history
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-- ============================================================================
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-- CONVERT EVENT TABLE TO HYPERTABLE
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-- ============================================================================
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-- Events are immutable after insert — they are never updated. Instead of
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-- maintaining a separate event_history table to track changes that never
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-- happen, we convert the event table itself into a TimescaleDB hypertable
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-- partitioned on `created`. This gives us automatic time-based partitioning,
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-- compression, and retention for free.
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--
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-- No FK constraints reference event(id) — enforcement.event was created as a
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-- plain BIGINT in migration 000004 (hypertables cannot be FK targets).
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-- ----------------------------------------------------------------------------
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CREATE TABLE enforcement_history (
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time TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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operation TEXT NOT NULL,
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entity_id BIGINT NOT NULL,
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entity_ref TEXT,
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changed_fields TEXT[] NOT NULL DEFAULT '{}',
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old_values JSONB,
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new_values JSONB
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);
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-- Replace the single-column PK with a composite PK that includes the
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-- partitioning column (required by TimescaleDB).
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ALTER TABLE event DROP CONSTRAINT event_pkey;
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ALTER TABLE event ADD PRIMARY KEY (id, created);
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SELECT create_hypertable('enforcement_history', 'time',
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chunk_time_interval => INTERVAL '1 day');
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SELECT create_hypertable('event', 'created',
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chunk_time_interval => INTERVAL '1 day',
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migrate_data => true);
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CREATE INDEX idx_enforcement_history_entity
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ON enforcement_history (entity_id, time DESC);
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COMMENT ON TABLE event IS 'Events are instances of triggers firing (TimescaleDB hypertable partitioned on created)';
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CREATE INDEX idx_enforcement_history_entity_ref
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ON enforcement_history (entity_ref, time DESC);
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CREATE INDEX idx_enforcement_history_status_changes
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ON enforcement_history (time DESC)
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WHERE 'status' = ANY(changed_fields);
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CREATE INDEX idx_enforcement_history_changed_fields
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ON enforcement_history USING GIN (changed_fields);
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COMMENT ON TABLE enforcement_history IS 'Append-only history of field-level changes to the enforcement table (TimescaleDB hypertable)';
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COMMENT ON COLUMN enforcement_history.entity_ref IS 'Denormalized rule_ref for JOIN-free queries';
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-- ----------------------------------------------------------------------------
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-- event_history
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-- ============================================================================
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-- CONVERT ENFORCEMENT TABLE TO HYPERTABLE
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-- ============================================================================
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-- Enforcements are created and then updated exactly once (status changes from
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-- `created` to `processed` or `disabled` within ~1 second). This single update
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-- happens well before the 7-day compression window, so UPDATE on uncompressed
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-- chunks works without issues.
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--
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-- No FK constraints reference enforcement(id) — execution.enforcement was
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-- created as a plain BIGINT in migration 000005.
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-- ----------------------------------------------------------------------------
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CREATE TABLE event_history (
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time TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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operation TEXT NOT NULL,
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entity_id BIGINT NOT NULL,
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entity_ref TEXT,
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changed_fields TEXT[] NOT NULL DEFAULT '{}',
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old_values JSONB,
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new_values JSONB
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);
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ALTER TABLE enforcement DROP CONSTRAINT enforcement_pkey;
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ALTER TABLE enforcement ADD PRIMARY KEY (id, created);
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SELECT create_hypertable('event_history', 'time',
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chunk_time_interval => INTERVAL '1 day');
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SELECT create_hypertable('enforcement', 'created',
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chunk_time_interval => INTERVAL '1 day',
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migrate_data => true);
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CREATE INDEX idx_event_history_entity
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ON event_history (entity_id, time DESC);
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COMMENT ON TABLE enforcement IS 'Enforcements represent rule triggering by events (TimescaleDB hypertable partitioned on created)';
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CREATE INDEX idx_event_history_entity_ref
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ON event_history (entity_ref, time DESC);
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-- ============================================================================
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-- CONVERT EXECUTION TABLE TO HYPERTABLE
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-- ============================================================================
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-- Executions are updated ~4 times during their lifecycle (requested → scheduled
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-- → running → completed/failed), completing within at most ~1 day — well before
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-- the 7-day compression window. The `updated` column and its BEFORE UPDATE
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-- trigger are preserved (used by timeout monitor and UI).
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--
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-- No FK constraints reference execution(id) — inquiry.execution,
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-- workflow_execution.execution, execution.parent, and execution.original_execution
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-- were all created as plain BIGINT columns in migrations 000005 and 000006.
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--
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-- The existing execution_history hypertable and its trigger are preserved —
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-- they track field-level diffs of each update, which remains valuable for
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-- a mutable table.
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-- ----------------------------------------------------------------------------
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CREATE INDEX idx_event_history_changed_fields
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ON event_history USING GIN (changed_fields);
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ALTER TABLE execution DROP CONSTRAINT execution_pkey;
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ALTER TABLE execution ADD PRIMARY KEY (id, created);
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COMMENT ON TABLE event_history IS 'Append-only history of field-level changes to the event table (TimescaleDB hypertable)';
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COMMENT ON COLUMN event_history.entity_ref IS 'Denormalized trigger_ref for JOIN-free queries';
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SELECT create_hypertable('execution', 'created',
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chunk_time_interval => INTERVAL '1 day',
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migrate_data => true);
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COMMENT ON TABLE execution IS 'Executions represent action runs with workflow support (TimescaleDB hypertable partitioned on created). Updated ~4 times during lifecycle, completing within ~1 day (well before 7-day compression window).';
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-- ============================================================================
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-- TRIGGER FUNCTIONS
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@@ -341,118 +355,6 @@ $$ LANGUAGE plpgsql;
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COMMENT ON FUNCTION record_worker_history() IS 'Records field-level changes to worker table in worker_history hypertable. Excludes heartbeat-only updates.';
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-- ----------------------------------------------------------------------------
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-- enforcement history trigger
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-- Tracked fields: status, payload
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-- ----------------------------------------------------------------------------
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CREATE OR REPLACE FUNCTION record_enforcement_history()
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RETURNS TRIGGER AS $$
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DECLARE
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changed TEXT[] := '{}';
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old_vals JSONB := '{}';
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new_vals JSONB := '{}';
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BEGIN
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IF TG_OP = 'INSERT' THEN
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INSERT INTO enforcement_history (time, operation, entity_id, entity_ref, changed_fields, old_values, new_values)
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VALUES (NOW(), 'INSERT', NEW.id, NEW.rule_ref, '{}', NULL,
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jsonb_build_object(
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'rule_ref', NEW.rule_ref,
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'trigger_ref', NEW.trigger_ref,
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'status', NEW.status,
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'condition', NEW.condition,
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'event', NEW.event
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));
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RETURN NEW;
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END IF;
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IF TG_OP = 'DELETE' THEN
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INSERT INTO enforcement_history (time, operation, entity_id, entity_ref, changed_fields, old_values, new_values)
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VALUES (NOW(), 'DELETE', OLD.id, OLD.rule_ref, '{}', NULL, NULL);
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RETURN OLD;
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END IF;
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-- UPDATE: detect which fields changed
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IF OLD.status IS DISTINCT FROM NEW.status THEN
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changed := array_append(changed, 'status');
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old_vals := old_vals || jsonb_build_object('status', OLD.status);
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new_vals := new_vals || jsonb_build_object('status', NEW.status);
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END IF;
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IF OLD.payload IS DISTINCT FROM NEW.payload THEN
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changed := array_append(changed, 'payload');
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old_vals := old_vals || jsonb_build_object('payload', OLD.payload);
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new_vals := new_vals || jsonb_build_object('payload', NEW.payload);
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END IF;
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-- Only record if something actually changed
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IF array_length(changed, 1) > 0 THEN
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INSERT INTO enforcement_history (time, operation, entity_id, entity_ref, changed_fields, old_values, new_values)
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VALUES (NOW(), 'UPDATE', NEW.id, NEW.rule_ref, changed, old_vals, new_vals);
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END IF;
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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COMMENT ON FUNCTION record_enforcement_history() IS 'Records field-level changes to enforcement table in enforcement_history hypertable';
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-- ----------------------------------------------------------------------------
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-- event history trigger
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-- Tracked fields: config, payload
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-- ----------------------------------------------------------------------------
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CREATE OR REPLACE FUNCTION record_event_history()
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RETURNS TRIGGER AS $$
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DECLARE
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changed TEXT[] := '{}';
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old_vals JSONB := '{}';
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new_vals JSONB := '{}';
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BEGIN
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IF TG_OP = 'INSERT' THEN
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INSERT INTO event_history (time, operation, entity_id, entity_ref, changed_fields, old_values, new_values)
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VALUES (NOW(), 'INSERT', NEW.id, NEW.trigger_ref, '{}', NULL,
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jsonb_build_object(
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'trigger_ref', NEW.trigger_ref,
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'source', NEW.source,
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'source_ref', NEW.source_ref,
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'rule', NEW.rule,
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'rule_ref', NEW.rule_ref
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));
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RETURN NEW;
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END IF;
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IF TG_OP = 'DELETE' THEN
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INSERT INTO event_history (time, operation, entity_id, entity_ref, changed_fields, old_values, new_values)
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VALUES (NOW(), 'DELETE', OLD.id, OLD.trigger_ref, '{}', NULL, NULL);
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RETURN OLD;
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END IF;
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-- UPDATE: detect which fields changed
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IF OLD.config IS DISTINCT FROM NEW.config THEN
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changed := array_append(changed, 'config');
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old_vals := old_vals || jsonb_build_object('config', OLD.config);
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new_vals := new_vals || jsonb_build_object('config', NEW.config);
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END IF;
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IF OLD.payload IS DISTINCT FROM NEW.payload THEN
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changed := array_append(changed, 'payload');
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old_vals := old_vals || jsonb_build_object('payload', OLD.payload);
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new_vals := new_vals || jsonb_build_object('payload', NEW.payload);
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END IF;
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-- Only record if something actually changed
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IF array_length(changed, 1) > 0 THEN
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INSERT INTO event_history (time, operation, entity_id, entity_ref, changed_fields, old_values, new_values)
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VALUES (NOW(), 'UPDATE', NEW.id, NEW.trigger_ref, changed, old_vals, new_vals);
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END IF;
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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COMMENT ON FUNCTION record_event_history() IS 'Records field-level changes to event table in event_history hypertable';
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-- ============================================================================
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-- ATTACH TRIGGERS TO OPERATIONAL TABLES
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-- ============================================================================
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@@ -467,20 +369,11 @@ CREATE TRIGGER worker_history_trigger
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FOR EACH ROW
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EXECUTE FUNCTION record_worker_history();
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CREATE TRIGGER enforcement_history_trigger
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AFTER INSERT OR UPDATE OR DELETE ON enforcement
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FOR EACH ROW
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EXECUTE FUNCTION record_enforcement_history();
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CREATE TRIGGER event_history_trigger
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AFTER INSERT OR UPDATE OR DELETE ON event
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FOR EACH ROW
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EXECUTE FUNCTION record_event_history();
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-- ============================================================================
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-- COMPRESSION POLICIES
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-- ============================================================================
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-- History tables
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ALTER TABLE execution_history SET (
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timescaledb.compress,
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timescaledb.compress_segmentby = 'entity_id',
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@@ -495,28 +388,39 @@ ALTER TABLE worker_history SET (
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);
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SELECT add_compression_policy('worker_history', INTERVAL '7 days');
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ALTER TABLE enforcement_history SET (
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-- Event table (hypertable)
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ALTER TABLE event SET (
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timescaledb.compress,
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timescaledb.compress_segmentby = 'entity_id',
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timescaledb.compress_orderby = 'time DESC'
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timescaledb.compress_segmentby = 'trigger_ref',
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timescaledb.compress_orderby = 'created DESC'
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);
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SELECT add_compression_policy('enforcement_history', INTERVAL '7 days');
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SELECT add_compression_policy('event', INTERVAL '7 days');
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ALTER TABLE event_history SET (
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-- Enforcement table (hypertable)
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ALTER TABLE enforcement SET (
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timescaledb.compress,
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timescaledb.compress_segmentby = 'entity_id',
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timescaledb.compress_orderby = 'time DESC'
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timescaledb.compress_segmentby = 'rule_ref',
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timescaledb.compress_orderby = 'created DESC'
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);
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SELECT add_compression_policy('event_history', INTERVAL '7 days');
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SELECT add_compression_policy('enforcement', INTERVAL '7 days');
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-- Execution table (hypertable)
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ALTER TABLE execution SET (
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timescaledb.compress,
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timescaledb.compress_segmentby = 'action_ref',
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timescaledb.compress_orderby = 'created DESC'
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);
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SELECT add_compression_policy('execution', INTERVAL '7 days');
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-- ============================================================================
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-- RETENTION POLICIES
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-- ============================================================================
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SELECT add_retention_policy('execution_history', INTERVAL '90 days');
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SELECT add_retention_policy('enforcement_history', INTERVAL '90 days');
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SELECT add_retention_policy('event_history', INTERVAL '30 days');
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SELECT add_retention_policy('worker_history', INTERVAL '180 days');
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SELECT add_retention_policy('event', INTERVAL '90 days');
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SELECT add_retention_policy('enforcement', INTERVAL '90 days');
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SELECT add_retention_policy('execution', INTERVAL '90 days');
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-- ============================================================================
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-- CONTINUOUS AGGREGATES
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@@ -530,6 +434,7 @@ DROP MATERIALIZED VIEW IF EXISTS execution_throughput_hourly CASCADE;
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DROP MATERIALIZED VIEW IF EXISTS event_volume_hourly CASCADE;
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DROP MATERIALIZED VIEW IF EXISTS worker_status_hourly CASCADE;
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DROP MATERIALIZED VIEW IF EXISTS enforcement_volume_hourly CASCADE;
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DROP MATERIALIZED VIEW IF EXISTS execution_volume_hourly CASCADE;
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-- ----------------------------------------------------------------------------
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-- execution_status_hourly
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@@ -582,17 +487,18 @@ SELECT add_continuous_aggregate_policy('execution_throughput_hourly',
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-- event_volume_hourly
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-- Tracks event creation volume per hour by trigger ref.
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-- Powers: event throughput monitoring widget.
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-- NOTE: Queries the event table directly (it is now a hypertable) instead of
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-- a separate event_history table.
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-- ----------------------------------------------------------------------------
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CREATE MATERIALIZED VIEW event_volume_hourly
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('1 hour', time) AS bucket,
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entity_ref AS trigger_ref,
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time_bucket('1 hour', created) AS bucket,
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trigger_ref,
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COUNT(*) AS event_count
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FROM event_history
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WHERE operation = 'INSERT'
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GROUP BY bucket, entity_ref
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FROM event
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GROUP BY bucket, trigger_ref
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WITH NO DATA;
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SELECT add_continuous_aggregate_policy('event_volume_hourly',
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@@ -629,17 +535,18 @@ SELECT add_continuous_aggregate_policy('worker_status_hourly',
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-- enforcement_volume_hourly
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-- Tracks enforcement creation volume per hour by rule ref.
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-- Powers: rule activation rate monitoring.
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-- NOTE: Queries the enforcement table directly (it is now a hypertable)
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-- instead of a separate enforcement_history table.
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-- ----------------------------------------------------------------------------
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CREATE MATERIALIZED VIEW enforcement_volume_hourly
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('1 hour', time) AS bucket,
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entity_ref AS rule_ref,
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time_bucket('1 hour', created) AS bucket,
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rule_ref,
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COUNT(*) AS enforcement_count
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FROM enforcement_history
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WHERE operation = 'INSERT'
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GROUP BY bucket, entity_ref
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FROM enforcement
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GROUP BY bucket, rule_ref
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WITH NO DATA;
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SELECT add_continuous_aggregate_policy('enforcement_volume_hourly',
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@@ -648,6 +555,34 @@ SELECT add_continuous_aggregate_policy('enforcement_volume_hourly',
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schedule_interval => INTERVAL '30 minutes'
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);
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-- ----------------------------------------------------------------------------
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-- execution_volume_hourly
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-- Tracks execution creation volume per hour by action_ref and status.
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-- This queries the execution hypertable directly (like event_volume_hourly
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-- queries the event table). Complements the existing execution_status_hourly
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-- and execution_throughput_hourly aggregates which query execution_history.
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--
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-- Use case: direct execution volume monitoring without relying on the history
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-- trigger (belt-and-suspenders, plus captures the initial status at creation).
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-- ----------------------------------------------------------------------------
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CREATE MATERIALIZED VIEW execution_volume_hourly
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('1 hour', created) AS bucket,
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action_ref,
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status AS initial_status,
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COUNT(*) AS execution_count
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FROM execution
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GROUP BY bucket, action_ref, status
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WITH NO DATA;
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SELECT add_continuous_aggregate_policy('execution_volume_hourly',
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start_offset => INTERVAL '7 days',
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end_offset => INTERVAL '1 hour',
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schedule_interval => INTERVAL '30 minutes'
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);
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-- ============================================================================
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-- INITIAL REFRESH NOTE
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-- ============================================================================
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@@ -664,3 +599,4 @@ SELECT add_continuous_aggregate_policy('enforcement_volume_hourly',
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-- CALL refresh_continuous_aggregate('event_volume_hourly', NULL, NOW());
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-- CALL refresh_continuous_aggregate('worker_status_hourly', NULL, NOW());
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-- CALL refresh_continuous_aggregate('enforcement_volume_hourly', NULL, NOW());
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-- CALL refresh_continuous_aggregate('execution_volume_hourly', NULL, NOW());
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Reference in New Issue
Block a user