98f5e49ea8
Integrates audit functionality into CQL statement processing to enable tracking of database operations. Key changes: - Add audit_info and statement_category to all CQL statements - Implement audit categories for different statement types: - DDL: Schema altering statements (CREATE/ALTER/DROP) - DML: Data manipulation (INSERT/UPDATE/DELETE/TRUNCATE/USE) - DCL: Access control (GRANT/REVOKE/CREATE ROLE) - QUERY: SELECT statements - ADMIN: Service level operations - Add audit inspection points in query processing: - Before statement execution - After access checks - After statement completion - On execution failures - Add password sanitization for role management statements - Mask plaintext passwords in audit logs - Handle both direct password parameters and options maps - Preserve query structure while hiding sensitive data - Modify prepared statement lifecycle to carry audit context - Pass audit info during statement preparation - Track audit info through statement execution - Support batch statement auditing This change enables comprehensive auditing of CQL operations while ensuring sensitive data is properly masked in audit logs.
87 lines
3.0 KiB
C++
87 lines
3.0 KiB
C++
/*
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* Copyright (C) 2015-present ScyllaDB
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*
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* Modified by ScyllaDB
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*/
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/*
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* SPDX-License-Identifier: (LicenseRef-ScyllaDB-Source-Available-1.0 and Apache-2.0)
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*/
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#pragma once
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#include "cql3/statements/modification_statement.hh"
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#include "cql3/attributes.hh"
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#include "data_dictionary/data_dictionary.hh"
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namespace cql3 {
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namespace statements {
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/**
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* An <code>UPDATE</code> statement parsed from a CQL query statement.
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*/
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class update_statement : public modification_statement {
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public:
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#if 0
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private static final Constants.Value EMPTY = new Constants.Value(ByteBufferUtil.EMPTY_BYTE_BUFFER);
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#endif
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update_statement(
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audit::audit_info_ptr&& audit_info,
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statement_type type,
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uint32_t bound_terms,
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schema_ptr s,
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std::unique_ptr<attributes> attrs,
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cql_stats& stats);
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private:
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virtual bool require_full_clustering_key() const override;
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virtual bool allow_clustering_key_slices() const override;
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virtual void add_update_for_key(mutation& m, const query::clustering_range& range, const update_parameters& params, const json_cache_opt& json_cache) const override;
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virtual void execute_operations_for_key(mutation& m, const clustering_key_prefix& prefix, const update_parameters& params, const json_cache_opt& json_cache) const;
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public:
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virtual ::shared_ptr<strongly_consistent_modification_statement> prepare_for_broadcast_tables() const override;
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};
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/*
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* Update statement specification that has specifically one bound name - a JSON string.
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* Overridden add_update_for_key uses this parsed JSON to look up values for columns.
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*/
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class insert_prepared_json_statement : public update_statement {
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expr::expression _value;
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bool _default_unset;
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public:
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insert_prepared_json_statement(
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audit::audit_info_ptr&& audit_info,
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uint32_t bound_terms,
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schema_ptr s,
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std::unique_ptr<attributes> attrs,
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cql_stats& stats,
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expr::expression v, bool default_unset)
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: update_statement(std::move(audit_info), statement_type::INSERT, bound_terms, s, std::move(attrs), stats)
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, _value(std::move(v))
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, _default_unset(default_unset) {
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_restrictions = restrictions::statement_restrictions(s, false);
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}
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private:
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virtual void execute_operations_for_key(mutation& m, const clustering_key_prefix& prefix, const update_parameters& params, const json_cache_opt& json_cache) const override;
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virtual dht::partition_range_vector build_partition_keys(const query_options& options, const json_cache_opt& json_cache) const override;
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virtual query::clustering_row_ranges create_clustering_ranges(const query_options& options, const json_cache_opt& json_cache) const override;
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json_cache_opt maybe_prepare_json_cache(const query_options& options) const override;
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void execute_set_value(mutation& m, const clustering_key_prefix& prefix, const update_parameters&
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params, const column_definition& column, const bytes_opt& value) const;
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};
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}
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}
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