TimescaleDB add_continuous_aggregate_policy and add_compression_policy cannot run inside a transaction block. Move all policy calls to V2 with flyway:executeInTransaction=false directive. Also fix stats_1m_processor_detail: add WITH NO DATA and materialized_only = false. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
304 lines
11 KiB
SQL
304 lines
11 KiB
SQL
-- V1__init.sql - Consolidated schema for Cameleer3
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-- Extensions
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CREATE EXTENSION IF NOT EXISTS timescaledb;
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CREATE EXTENSION IF NOT EXISTS timescaledb_toolkit;
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-- =============================================================
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-- RBAC
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-- =============================================================
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CREATE TABLE users (
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user_id TEXT PRIMARY KEY,
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provider TEXT NOT NULL,
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email TEXT,
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display_name TEXT,
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password_hash TEXT,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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CREATE TABLE roles (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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name TEXT NOT NULL UNIQUE,
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description TEXT NOT NULL DEFAULT '',
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scope TEXT NOT NULL DEFAULT 'custom',
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system BOOLEAN NOT NULL DEFAULT false,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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INSERT INTO roles (id, name, description, scope, system) VALUES
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('00000000-0000-0000-0000-000000000001', 'AGENT', 'Agent registration and data ingestion', 'system-wide', true),
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('00000000-0000-0000-0000-000000000002', 'VIEWER', 'Read-only access to dashboards and data', 'system-wide', true),
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('00000000-0000-0000-0000-000000000003', 'OPERATOR', 'Operational commands (start/stop/configure agents)', 'system-wide', true),
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('00000000-0000-0000-0000-000000000004', 'ADMIN', 'Full administrative access', 'system-wide', true);
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CREATE TABLE groups (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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name TEXT NOT NULL UNIQUE,
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parent_group_id UUID REFERENCES groups(id) ON DELETE SET NULL,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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-- Built-in Admins group
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INSERT INTO groups (id, name) VALUES
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('00000000-0000-0000-0000-000000000010', 'Admins');
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CREATE TABLE group_roles (
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group_id UUID NOT NULL REFERENCES groups(id) ON DELETE CASCADE,
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role_id UUID NOT NULL REFERENCES roles(id) ON DELETE CASCADE,
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PRIMARY KEY (group_id, role_id)
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);
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-- Assign ADMIN role to Admins group
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INSERT INTO group_roles (group_id, role_id) VALUES
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('00000000-0000-0000-0000-000000000010', '00000000-0000-0000-0000-000000000004');
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CREATE TABLE user_groups (
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user_id TEXT NOT NULL REFERENCES users(user_id) ON DELETE CASCADE,
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group_id UUID NOT NULL REFERENCES groups(id) ON DELETE CASCADE,
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PRIMARY KEY (user_id, group_id)
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);
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CREATE TABLE user_roles (
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user_id TEXT NOT NULL REFERENCES users(user_id) ON DELETE CASCADE,
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role_id UUID NOT NULL REFERENCES roles(id) ON DELETE CASCADE,
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PRIMARY KEY (user_id, role_id)
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);
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CREATE INDEX idx_user_roles_user_id ON user_roles(user_id);
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CREATE INDEX idx_user_groups_user_id ON user_groups(user_id);
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CREATE INDEX idx_group_roles_group_id ON group_roles(group_id);
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CREATE INDEX idx_groups_parent ON groups(parent_group_id);
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-- =============================================================
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-- Execution data (TimescaleDB hypertables)
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-- =============================================================
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CREATE TABLE executions (
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execution_id TEXT NOT NULL,
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route_id TEXT NOT NULL,
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agent_id TEXT NOT NULL,
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application_name TEXT NOT NULL,
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status TEXT NOT NULL,
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correlation_id TEXT,
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exchange_id TEXT,
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start_time TIMESTAMPTZ NOT NULL,
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end_time TIMESTAMPTZ,
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duration_ms BIGINT,
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error_message TEXT,
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error_stacktrace TEXT,
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diagram_content_hash TEXT,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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PRIMARY KEY (execution_id, start_time)
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);
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SELECT create_hypertable('executions', 'start_time', chunk_time_interval => INTERVAL '1 day');
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CREATE INDEX idx_executions_agent_time ON executions (agent_id, start_time DESC);
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CREATE INDEX idx_executions_route_time ON executions (route_id, start_time DESC);
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CREATE INDEX idx_executions_app_time ON executions (application_name, start_time DESC);
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CREATE INDEX idx_executions_correlation ON executions (correlation_id);
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CREATE TABLE processor_executions (
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id BIGSERIAL,
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execution_id TEXT NOT NULL,
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processor_id TEXT NOT NULL,
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processor_type TEXT NOT NULL,
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diagram_node_id TEXT,
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application_name TEXT NOT NULL,
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route_id TEXT NOT NULL,
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depth INT NOT NULL,
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parent_processor_id TEXT,
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status TEXT NOT NULL,
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start_time TIMESTAMPTZ NOT NULL,
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end_time TIMESTAMPTZ,
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duration_ms BIGINT,
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error_message TEXT,
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error_stacktrace TEXT,
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input_body TEXT,
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output_body TEXT,
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input_headers JSONB,
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output_headers JSONB,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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UNIQUE (execution_id, processor_id, start_time)
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);
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SELECT create_hypertable('processor_executions', 'start_time', chunk_time_interval => INTERVAL '1 day');
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CREATE INDEX idx_proc_exec_execution ON processor_executions (execution_id);
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CREATE INDEX idx_proc_exec_type_time ON processor_executions (processor_type, start_time DESC);
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-- =============================================================
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-- Agent metrics
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-- =============================================================
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CREATE TABLE agent_metrics (
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agent_id TEXT NOT NULL,
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metric_name TEXT NOT NULL,
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metric_value DOUBLE PRECISION NOT NULL,
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tags JSONB,
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collected_at TIMESTAMPTZ NOT NULL,
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server_received_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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SELECT create_hypertable('agent_metrics', 'collected_at', chunk_time_interval => INTERVAL '1 day');
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CREATE INDEX idx_metrics_agent_name ON agent_metrics (agent_id, metric_name, collected_at DESC);
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-- =============================================================
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-- Route diagrams
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-- =============================================================
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CREATE TABLE route_diagrams (
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content_hash TEXT PRIMARY KEY,
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route_id TEXT NOT NULL,
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agent_id TEXT NOT NULL,
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definition TEXT NOT NULL,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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CREATE INDEX idx_diagrams_route_agent ON route_diagrams (route_id, agent_id);
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-- =============================================================
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-- Agent events
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-- =============================================================
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CREATE TABLE agent_events (
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id BIGSERIAL PRIMARY KEY,
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agent_id TEXT NOT NULL,
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app_id TEXT NOT NULL,
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event_type TEXT NOT NULL,
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detail TEXT,
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timestamp TIMESTAMPTZ NOT NULL DEFAULT NOW()
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);
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CREATE INDEX idx_agent_events_agent ON agent_events(agent_id, timestamp DESC);
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CREATE INDEX idx_agent_events_app ON agent_events(app_id, timestamp DESC);
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CREATE INDEX idx_agent_events_time ON agent_events(timestamp DESC);
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-- =============================================================
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-- Server configuration
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-- =============================================================
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CREATE TABLE server_config (
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config_key TEXT PRIMARY KEY,
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config_val JSONB NOT NULL,
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updated_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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updated_by TEXT
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);
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-- =============================================================
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-- Admin
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-- =============================================================
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CREATE TABLE audit_log (
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id BIGSERIAL PRIMARY KEY,
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timestamp TIMESTAMPTZ NOT NULL DEFAULT now(),
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username TEXT NOT NULL,
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action TEXT NOT NULL,
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category TEXT NOT NULL,
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target TEXT,
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detail JSONB,
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result TEXT NOT NULL,
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ip_address TEXT,
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user_agent TEXT
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);
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CREATE INDEX idx_audit_log_timestamp ON audit_log (timestamp DESC);
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CREATE INDEX idx_audit_log_username ON audit_log (username);
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CREATE INDEX idx_audit_log_category ON audit_log (category);
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CREATE INDEX idx_audit_log_action ON audit_log (action);
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CREATE INDEX idx_audit_log_target ON audit_log (target);
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-- =============================================================
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-- Continuous aggregates
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-- =============================================================
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CREATE MATERIALIZED VIEW stats_1m_all
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WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
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SELECT
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time_bucket('1 minute', start_time) AS bucket,
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COUNT(*) AS total_count,
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COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
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COUNT(*) FILTER (WHERE status = 'RUNNING') AS running_count,
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SUM(duration_ms) AS duration_sum,
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MAX(duration_ms) AS duration_max,
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approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
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FROM executions
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WHERE status IS NOT NULL
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GROUP BY bucket
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WITH NO DATA;
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CREATE MATERIALIZED VIEW stats_1m_app
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WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
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SELECT
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time_bucket('1 minute', start_time) AS bucket,
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application_name,
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COUNT(*) AS total_count,
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COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
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COUNT(*) FILTER (WHERE status = 'RUNNING') AS running_count,
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SUM(duration_ms) AS duration_sum,
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MAX(duration_ms) AS duration_max,
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approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
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FROM executions
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WHERE status IS NOT NULL
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GROUP BY bucket, application_name
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WITH NO DATA;
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CREATE MATERIALIZED VIEW stats_1m_route
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WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
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SELECT
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time_bucket('1 minute', start_time) AS bucket,
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application_name,
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route_id,
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COUNT(*) AS total_count,
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COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
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COUNT(*) FILTER (WHERE status = 'RUNNING') AS running_count,
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SUM(duration_ms) AS duration_sum,
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MAX(duration_ms) AS duration_max,
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approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
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FROM executions
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WHERE status IS NOT NULL
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GROUP BY bucket, application_name, route_id
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WITH NO DATA;
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CREATE MATERIALIZED VIEW stats_1m_processor
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WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
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SELECT
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time_bucket('1 minute', start_time) AS bucket,
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application_name,
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route_id,
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processor_type,
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COUNT(*) AS total_count,
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COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
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SUM(duration_ms) AS duration_sum,
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MAX(duration_ms) AS duration_max,
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approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
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FROM processor_executions
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GROUP BY bucket, application_name, route_id, processor_type
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WITH NO DATA;
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CREATE MATERIALIZED VIEW stats_1m_processor_detail
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WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
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SELECT
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time_bucket('1 minute', start_time) AS bucket,
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application_name,
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route_id,
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processor_id,
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processor_type,
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COUNT(*) AS total_count,
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COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
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SUM(duration_ms) AS duration_sum,
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MAX(duration_ms) AS duration_max,
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approx_percentile(0.99, percentile_agg(duration_ms)) AS p99_duration
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FROM processor_executions
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GROUP BY bucket, application_name, route_id, processor_id, processor_type
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WITH NO DATA;
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