Files
scylla/cql3/restrictions/statement_restrictions.hh
Jan Ciolek 599bcd6ea7 cql3: Remove all remaining restrictions code
The classes restriction, restrictions and its children
aren't used anywhere now and can be safely removed.

Some includes need to be modified for the code to compile.

Signed-off-by: Jan Ciolek <jan.ciolek@scylladb.com>
2022-07-20 09:10:31 +02:00

535 lines
22 KiB
C++

/*
* Copyright (C) 2015-present ScyllaDB
*
* Modified by ScyllaDB
*/
/*
* SPDX-License-Identifier: (AGPL-3.0-or-later and Apache-2.0)
*/
#pragma once
#include <vector>
#include <list>
#include "bounds_slice.hh"
#include "cql3/expr/expression.hh"
#include "cql3/expr/restrictions.hh"
#include "to_string.hh"
#include "schema_fwd.hh"
#include "cql3/prepare_context.hh"
#include "cql3/statements/statement_type.hh"
#include "query-request.hh"
namespace cql3 {
namespace restrictions {
/**
* The restrictions corresponding to the relations specified on the where-clause of CQL query.
*/
class statement_restrictions {
private:
schema_ptr _schema;
/**
* Restrictions on partitioning columns
*/
expr::expression _partition_key_restrictions;
expr::single_column_restrictions_map _single_column_partition_key_restrictions;
/**
* Restrictions on clustering columns
*/
expr::expression _clustering_columns_restrictions;
expr::single_column_restrictions_map _single_column_clustering_key_restrictions;
/**
* Restriction on non-primary key columns (i.e. secondary index restrictions)
*/
expr::expression _nonprimary_key_restrictions;
expr::single_column_restrictions_map _single_column_nonprimary_key_restrictions;
std::unordered_set<const column_definition*> _not_null_columns;
/**
* The restrictions used to build the index expressions
*/
std::vector<expr::expression> _index_restrictions;
/**
* <code>true</code> if the secondary index need to be queried, <code>false</code> otherwise
*/
bool _uses_secondary_indexing = false;
/**
* Specify if the query will return a range of partition keys.
*/
bool _is_key_range = false;
bool _has_queriable_regular_index = false, _has_queriable_pk_index = false, _has_queriable_ck_index = false;
bool _has_multi_column; ///< True iff _clustering_columns_restrictions has a multi-column restriction.
std::optional<expr::expression> _where; ///< The entire WHERE clause.
/// Parts of _where defining the clustering slice.
///
/// Meets all of the following conditions:
/// 1. all elements must be simultaneously satisfied (as restrictions) for _where to be satisfied
/// 2. each element is an atom or a conjunction of atoms
/// 3. either all atoms (across all elements) are multi-column or they are all single-column
/// 4. if single-column, then:
/// 4.1 all atoms from an element have the same LHS, which we call the element's LHS
/// 4.2 each element's LHS is different from any other element's LHS
/// 4.3 the list of each element's LHS, in order, forms a clustering-key prefix
/// 4.4 elements other than the last have only EQ or IN atoms
/// 4.5 the last element has only EQ, IN, or is_slice() atoms
/// 5. if multi-column, then each element is a binary_operator
std::vector<expr::expression> _clustering_prefix_restrictions;
/// Like _clustering_prefix_restrictions, but for the indexing table (if this is an index-reading statement).
/// Recall that the index-table CK is (token, PK, CK) of the base table for a global index and (indexed column,
/// CK) for a local index.
///
/// Elements are conjuctions of single-column binary operators with the same LHS.
/// Element order follows the indexing-table clustering key.
/// In case of a global index the first element's (token restriction) RHS is a dummy value, it is filled later.
std::optional<std::vector<expr::expression>> _idx_tbl_ck_prefix;
/// Parts of _where defining the partition range.
///
/// If the partition range is dictated by token restrictions, this is a single element that holds all the
/// binary_operators on token. If single-column restrictions define the partition range, each element holds
/// restrictions for one partition column. Each partition column has a corresponding element, but the elements
/// are in arbitrary order.
std::vector<expr::expression> _partition_range_restrictions;
bool _partition_range_is_simple; ///< False iff _partition_range_restrictions imply a Cartesian product.
public:
/**
* Creates a new empty <code>StatementRestrictions</code>.
*
* @param cfm the column family meta data
* @return a new empty <code>StatementRestrictions</code>.
*/
statement_restrictions(schema_ptr schema, bool allow_filtering);
statement_restrictions(data_dictionary::database db,
schema_ptr schema,
statements::statement_type type,
const std::vector<expr::expression>& where_clause,
prepare_context& ctx,
bool selects_only_static_columns,
bool for_view = false,
bool allow_filtering = false);
const std::vector<expr::expression>& index_restrictions() const;
/**
* Checks if the restrictions on the partition key is an IN restriction.
*
* @return <code>true</code> the restrictions on the partition key is an IN restriction, <code>false</code>
* otherwise.
*/
bool key_is_in_relation() const {
return find(_partition_key_restrictions, expr::oper_t::IN);
}
/**
* Checks if the restrictions on the clustering key is an IN restriction.
*
* @return <code>true</code> the restrictions on the partition key is an IN restriction, <code>false</code>
* otherwise.
*/
bool clustering_key_restrictions_has_IN() const {
return find(_clustering_columns_restrictions, expr::oper_t::IN);
}
bool clustering_key_restrictions_has_only_eq() const {
return expr::has_only_eq_binops(_clustering_columns_restrictions);
}
/**
* Checks if the query request a range of partition keys.
*
* @return <code>true</code> if the query request a range of partition keys, <code>false</code> otherwise.
*/
bool is_key_range() const {
return _is_key_range;
}
/**
* Checks if the secondary index need to be queried.
*
* @return <code>true</code> if the secondary index need to be queried, <code>false</code> otherwise.
*/
bool uses_secondary_indexing() const {
return _uses_secondary_indexing;
}
const expr::expression& get_partition_key_restrictions() const {
return _partition_key_restrictions;
}
const expr::expression& get_clustering_columns_restrictions() const {
return _clustering_columns_restrictions;
}
bool has_token_restrictions() const {
return has_token(_partition_key_restrictions);
}
// Checks whether the given column has an EQ restriction.
// EQ restriction is `col = ...` or `(col, col2) = ...`
// IN restriction is NOT an EQ restriction, this function will not look for IN restrictions.
// Uses column_defintion::operator== for comparison, columns with the same name but different schema will not be equal.
bool has_eq_restriction_on_column(const column_definition&) const;
/**
* Builds a possibly empty collection of column definitions that will be used for filtering
* @param db - the data_dictionary::database context
* @return A list with the column definitions needed for filtering.
*/
std::vector<const column_definition*> get_column_defs_for_filtering(data_dictionary::database db) const;
/**
* Gives a score that the index has - index with the highest score will be chosen
* in find_idx()
*/
int score(const secondary_index::index& index) const;
/**
* Determines the index to be used with the restriction.
* @param db - the data_dictionary::database context (for extracting index manager)
* @return If an index can be used, an optional containing this index, otherwise an empty optional.
* In case the index is returned, second parameter returns the index restriction it uses.
*/
std::pair<std::optional<secondary_index::index>, expr::expression> find_idx(const secondary_index::secondary_index_manager& sim) const;
/**
* Checks if the partition key has some unrestricted components.
* @return <code>true</code> if the partition key has some unrestricted components, <code>false</code> otherwise.
*/
bool has_partition_key_unrestricted_components() const;
bool partition_key_restrictions_is_empty() const;
bool partition_key_restrictions_is_all_eq() const;
size_t partition_key_restrictions_size() const;
bool parition_key_restrictions_have_supporting_index(const secondary_index::secondary_index_manager& index_manager, expr::allow_local_index allow_local) const;
size_t clustering_columns_restrictions_size() const;
bool clustering_columns_restrictions_have_supporting_index(
const secondary_index::secondary_index_manager& index_manager,
expr::allow_local_index allow_local) const;
bool multi_column_clustering_restrictions_are_supported_by(const secondary_index::index& index) const;
bounds_slice get_clustering_slice() const;
/**
* Checks if the clustering key has some unrestricted components.
* @return <code>true</code> if the clustering key has some unrestricted components, <code>false</code> otherwise.
*/
bool has_unrestricted_clustering_columns() const;
private:
void add_restriction(const expr::binary_operator& restr, schema_ptr schema, bool allow_filtering, bool for_view);
void add_is_not_restriction(const expr::binary_operator& restr, schema_ptr schema, bool for_view);
void add_single_column_parition_key_restriction(const expr::binary_operator& restr, schema_ptr schema, bool allow_filtering, bool for_view);
void add_token_partition_key_restriction(const expr::binary_operator& restr);
void add_single_column_clustering_key_restriction(const expr::binary_operator& restr, schema_ptr schema, bool allow_filtering);
void add_multi_column_clustering_key_restriction(const expr::binary_operator& restr);
void add_single_column_nonprimary_key_restriction(const expr::binary_operator& restr);
void process_partition_key_restrictions(bool for_view, bool allow_filtering);
/**
* Processes the clustering column restrictions.
*
* @param has_queriable_index <code>true</code> if some of the queried data are indexed, <code>false</code> otherwise
* @throws InvalidRequestException if the request is invalid
*/
void process_clustering_columns_restrictions(bool for_view, bool allow_filtering);
/**
* Returns the <code>Restrictions</code> for the specified type of columns.
*
* @param kind the column type
* @return the <code>restrictions</code> for the specified type of columns
*/
const expr::expression& get_restrictions(column_kind kind) const {
switch (kind) {
case column_kind::partition_key: return _partition_key_restrictions;
case column_kind::clustering_key: return _clustering_columns_restrictions;
default: return _nonprimary_key_restrictions;
}
}
/**
* Adds restrictions from _clustering_prefix_restrictions to _idx_tbl_ck_prefix.
* Translates restrictions to use columns from the index schema instead of the base schema.
*
* @param idx_tbl_schema Schema of the index table
*/
void add_clustering_restrictions_to_idx_ck_prefix(const schema& idx_tbl_schema);
unsigned int num_clustering_prefix_columns_that_need_not_be_filtered() const;
#if 0
std::vector<::shared_ptr<index_expression>> get_index_expressions(const query_options& options) {
if (!_uses_secondary_indexing || _index_restrictions.empty()) {
return {};
}
std::vector<::shared_ptr<index_expression>> expressions;
for (auto&& restrictions : _index_restrictions) {
restrictions->add_index_expression_to(expressions, options);
}
return expressions;
}
#endif
#if 0
/**
* Returns the partition keys for which the data is requested.
*
* @param options the query options
* @return the partition keys for which the data is requested.
* @throws InvalidRequestException if the partition keys cannot be retrieved
*/
std::vector<bytes> get_partition_keys(const query_options& options) const {
return _partition_key_restrictions->values(options);
}
#endif
public:
/**
* Returns the specified range of the partition key.
*
* @param b the boundary type
* @param options the query options
* @return the specified bound of the partition key
* @throws InvalidRequestException if the boundary cannot be retrieved
*/
dht::partition_range_vector get_partition_key_ranges(const query_options& options) const;
#if 0
/**
* Returns the partition key bounds.
*
* @param options the query options
* @return the partition key bounds
* @throws InvalidRequestException if the query is invalid
*/
AbstractBounds<RowPosition> get_partition_key_bounds(const query_options& options) {
auto p = global_partitioner();
if (_partition_key_restrictions->is_on_token()) {
return get_partition_key_bounds_for_token_restrictions(p, options);
}
return get_partition_key_bounds(p, options);
}
private:
private AbstractBounds<RowPosition> get_partition_key_bounds(IPartitioner p,
const query_options& options) throws InvalidRequestException
{
ByteBuffer startKeyBytes = get_partition_key_bound(Bound.START, options);
ByteBuffer finishKeyBytes = get_partition_key_bound(Bound.END, options);
RowPosition startKey = RowPosition.ForKey.get(startKeyBytes, p);
RowPosition finishKey = RowPosition.ForKey.get(finishKeyBytes, p);
if (startKey.compareTo(finishKey) > 0 && !finishKey.isMinimum())
return null;
if (_partition_key_restrictions->isInclusive(Bound.START))
{
return _partition_key_restrictions->isInclusive(Bound.END)
? new Bounds<>(startKey, finishKey)
: new IncludingExcludingBounds<>(startKey, finishKey);
}
return _partition_key_restrictions->isInclusive(Bound.END)
? new Range<>(startKey, finishKey)
: new ExcludingBounds<>(startKey, finishKey);
}
private AbstractBounds<RowPosition> get_partition_key_bounds_for_token_restriction(IPartitioner p,
const query_options& options)
throws InvalidRequestException
{
Token startToken = getTokenBound(Bound.START, options, p);
Token endToken = getTokenBound(Bound.END, options, p);
bool includeStart = _partition_key_restrictions->isInclusive(Bound.START);
bool includeEnd = _partition_key_restrictions->isInclusive(Bound.END);
/*
* If we ask SP.getRangeSlice() for (token(200), token(200)], it will happily return the whole ring.
* However, wrapping range doesn't really make sense for CQL, and we want to return an empty result in that
* case (CASSANDRA-5573). So special case to create a range that is guaranteed to be empty.
*
* In practice, we want to return an empty result set if either startToken > endToken, or both are equal but
* one of the bound is excluded (since [a, a] can contains something, but not (a, a], [a, a) or (a, a)).
* Note though that in the case where startToken or endToken is the minimum token, then this special case
* rule should not apply.
*/
int cmp = startToken.compareTo(endToken);
if (!startToken.isMinimum() && !endToken.isMinimum()
&& (cmp > 0 || (cmp == 0 && (!includeStart || !includeEnd))))
return null;
RowPosition start = includeStart ? startToken.minKeyBound() : startToken.maxKeyBound();
RowPosition end = includeEnd ? endToken.maxKeyBound() : endToken.minKeyBound();
return new Range<>(start, end);
}
private Token getTokenBound(Bound b, const query_options& options, IPartitioner p) throws InvalidRequestException
{
if (!_partition_key_restrictions->hasBound(b))
return p.getMinimumToken();
ByteBuffer value = _partition_key_restrictions->bounds(b, options).get(0);
checkNotNull(value, "Invalid null token value");
return p.getTokenFactory().fromByteArray(value);
}
// For non-composite slices, we don't support internally the difference between exclusive and
// inclusive bounds, so we deal with it manually.
bool is_non_composite_slice_with_exclusive_bounds()
{
return !cfm.comparator.isCompound()
&& _clustering_columns_restrictions->isSlice()
&& (!_clustering_columns_restrictions->isInclusive(Bound.START) || !_clustering_columns_restrictions->isInclusive(Bound.END));
}
/**
* Returns the requested clustering columns as <code>Composite</code>s.
*
* @param options the query options
* @return the requested clustering columns as <code>Composite</code>s
* @throws InvalidRequestException if the query is not valid
*/
public List<Composite> getClusteringColumnsAsComposites(QueryOptions options) throws InvalidRequestException
{
return clusteringColumnsRestrictions.valuesAsComposites(options);
}
#endif
public:
std::vector<query::clustering_range> get_clustering_bounds(const query_options& options) const;
/**
* Checks if the query need to use filtering.
* @return <code>true</code> if the query need to use filtering, <code>false</code> otherwise.
*/
bool need_filtering() const;
void validate_secondary_index_selections(bool selects_only_static_columns);
/**
* Checks if the query has some restrictions on the clustering columns.
*
* @return <code>true</code> if the query has some restrictions on the clustering columns,
* <code>false</code> otherwise.
*/
bool has_clustering_columns_restriction() const {
return !expr::is_empty_restriction(_clustering_columns_restrictions);
}
/**
* Checks if the restrictions contain any non-primary key restrictions
*
* @return <code>true</code> if the restrictions contain any non-primary key restrictions, <code>false</code> otherwise.
*/
bool has_non_primary_key_restriction() const {
return !expr::is_empty_restriction(_nonprimary_key_restrictions);
}
bool pk_restrictions_need_filtering() const;
bool ck_restrictions_need_filtering() const {
if (expr::is_empty_restriction(_clustering_columns_restrictions)) {
return false;
}
return has_partition_key_unrestricted_components()
|| clustering_key_restrictions_need_filtering()
// If token restrictions are present in an indexed query, then all other restrictions need to be filtered.
// A single token restriction can have multiple matching partition key values.
// Because of this we can't create a clustering prefix with more than token restriction.
|| (_uses_secondary_indexing && has_token(_partition_key_restrictions));
}
bool clustering_key_restrictions_need_filtering() const;
/**
* @return true if column is restricted by some restriction, false otherwise
*/
bool is_restricted(const column_definition* cdef) const {
if (_not_null_columns.contains(cdef)) {
return true;
}
auto restricted = expr::get_sorted_column_defs(get_restrictions(cdef->kind));
return std::find(restricted.begin(), restricted.end(), cdef) != restricted.end();
}
/**
* @return the non-primary key restrictions.
*/
const expr::single_column_restrictions_map& get_non_pk_restriction() const {
return _single_column_nonprimary_key_restrictions;
}
/**
* @return partition key restrictions split into single column restrictions (e.g. for filtering support).
*/
const expr::single_column_restrictions_map& get_single_column_partition_key_restrictions() const;
/**
* @return clustering key restrictions split into single column restrictions (e.g. for filtering support).
*/
const expr::single_column_restrictions_map& get_single_column_clustering_key_restrictions() const;
/// Prepares internal data for evaluating index-table queries. Must be called before
/// get_local_index_clustering_ranges().
void prepare_indexed_local(const schema& idx_tbl_schema);
/// Prepares internal data for evaluating index-table queries. Must be called before
/// get_global_index_clustering_ranges() or get_global_index_token_clustering_ranges().
void prepare_indexed_global(const schema& idx_tbl_schema);
/// Calculates clustering ranges for querying a global-index table.
std::vector<query::clustering_range> get_global_index_clustering_ranges(
const query_options& options, const schema& idx_tbl_schema) const;
/// Calculates clustering ranges for querying a global-index table for queries with token restrictions present.
std::vector<query::clustering_range> get_global_index_token_clustering_ranges(
const query_options& options, const schema& idx_tbl_schema) const;
/// Calculates clustering ranges for querying a local-index table.
std::vector<query::clustering_range> get_local_index_clustering_ranges(
const query_options& options, const schema& idx_tbl_schema) const;
sstring to_string() const;
/// True iff the partition range or slice is empty specifically due to a =NULL restriction.
bool range_or_slice_eq_null(const query_options& options) const;
};
}
}