rckrdmrd
45e77e9a9c
DDL schemas for Trading Platform: - User management - Authentication - Payments - Education - ML predictions - Trading data Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
75 lines
3.2 KiB
SQL
75 lines
3.2 KiB
SQL
-- ============================================================================
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-- OrbiQuant IA - Trading Platform
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-- Schema: auth
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-- File: tables/08-auth_logs.sql
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-- Description: Authentication event audit logging with optional partitioning
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-- ============================================================================
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CREATE TABLE auth.auth_logs (
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-- Primary Key
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id UUID DEFAULT gen_random_uuid(),
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-- Event Information
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event_type auth.auth_event_type NOT NULL,
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user_id UUID,
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email CITEXT,
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-- Request Context
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ip_address INET,
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user_agent TEXT,
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session_id UUID,
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-- Event Details
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success BOOLEAN NOT NULL DEFAULT false,
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failure_reason VARCHAR(255),
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-- Additional Metadata
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metadata JSONB DEFAULT '{}'::jsonb,
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-- Timestamp (partition key)
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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-- Primary Key includes partition key for partitioned tables
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PRIMARY KEY (id, created_at)
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) PARTITION BY RANGE (created_at);
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-- Create initial partitions for current and next month
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-- These should be created dynamically by a maintenance job in production
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-- Current month partition
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CREATE TABLE auth.auth_logs_current PARTITION OF auth.auth_logs
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FOR VALUES FROM (DATE_TRUNC('month', CURRENT_DATE))
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TO (DATE_TRUNC('month', CURRENT_DATE + INTERVAL '1 month'));
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-- Next month partition
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CREATE TABLE auth.auth_logs_next PARTITION OF auth.auth_logs
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FOR VALUES FROM (DATE_TRUNC('month', CURRENT_DATE + INTERVAL '1 month'))
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TO (DATE_TRUNC('month', CURRENT_DATE + INTERVAL '2 months'));
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-- Indexes for Performance (will be inherited by partitions)
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CREATE INDEX idx_auth_logs_user_id ON auth.auth_logs(user_id, created_at DESC);
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CREATE INDEX idx_auth_logs_email ON auth.auth_logs(email, created_at DESC);
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CREATE INDEX idx_auth_logs_event_type ON auth.auth_logs(event_type, created_at DESC);
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CREATE INDEX idx_auth_logs_ip_address ON auth.auth_logs(ip_address, created_at DESC);
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CREATE INDEX idx_auth_logs_session_id ON auth.auth_logs(session_id);
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CREATE INDEX idx_auth_logs_created_at ON auth.auth_logs(created_at DESC);
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CREATE INDEX idx_auth_logs_failures ON auth.auth_logs(user_id, created_at DESC)
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WHERE success = false;
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CREATE INDEX idx_auth_logs_metadata ON auth.auth_logs USING gin(metadata);
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-- Table Comments
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COMMENT ON TABLE auth.auth_logs IS 'Authentication event audit logging with monthly partitioning for performance';
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-- Column Comments
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COMMENT ON COLUMN auth.auth_logs.id IS 'Unique identifier for the log entry';
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COMMENT ON COLUMN auth.auth_logs.event_type IS 'Type of authentication event';
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COMMENT ON COLUMN auth.auth_logs.user_id IS 'Reference to the user (null for failed logins)';
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COMMENT ON COLUMN auth.auth_logs.email IS 'Email address associated with the event';
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COMMENT ON COLUMN auth.auth_logs.ip_address IS 'IP address of the request';
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COMMENT ON COLUMN auth.auth_logs.user_agent IS 'User agent string from the request';
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COMMENT ON COLUMN auth.auth_logs.session_id IS 'Session ID if applicable';
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COMMENT ON COLUMN auth.auth_logs.success IS 'Whether the event was successful';
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COMMENT ON COLUMN auth.auth_logs.failure_reason IS 'Reason for failure if applicable';
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COMMENT ON COLUMN auth.auth_logs.metadata IS 'Additional event metadata as JSON';
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COMMENT ON COLUMN auth.auth_logs.created_at IS 'Timestamp when event occurred (partition key)';
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