mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-16 19:32:07 +00:00
2244 lines
79 KiB
C++
2244 lines
79 KiB
C++
#include <Storages/MergeTree/KeyCondition.h>
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#include <Storages/MergeTree/BoolMask.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/FieldToDataType.h>
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#include <DataTypes/getLeastSupertype.h>
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#include <Interpreters/TreeRewriter.h>
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#include <Interpreters/ExpressionAnalyzer.h>
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#include <Interpreters/ExpressionActions.h>
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#include <Interpreters/castColumn.h>
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#include <Interpreters/misc.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionsConversion.h>
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#include <Functions/CastOverloadResolver.h>
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#include <Functions/IFunction.h>
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#include <Common/FieldVisitorsAccurateComparison.h>
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#include <Common/FieldVisitorToString.h>
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#include <Common/typeid_cast.h>
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#include <Interpreters/convertFieldToType.h>
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#include <Interpreters/Set.h>
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#include <Parsers/queryToString.h>
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#include <Parsers/ASTLiteral.h>
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#include <Parsers/ASTSubquery.h>
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#include <Parsers/ASTIdentifier.h>
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#include <IO/WriteBufferFromString.h>
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#include <IO/Operators.h>
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#include <Storages/KeyDescription.h>
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#include <cassert>
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#include <stack>
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#include <limits>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int LOGICAL_ERROR;
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extern const int BAD_TYPE_OF_FIELD;
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}
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String Range::toString() const
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{
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WriteBufferFromOwnString str;
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str << (left_included ? '[' : '(') << applyVisitor(FieldVisitorToString(), left) << ", ";
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str << applyVisitor(FieldVisitorToString(), right) << (right_included ? ']' : ')');
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return str.str();
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}
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/// Example: for `Hello\_World% ...` string it returns `Hello_World`, and for `%test%` returns an empty string.
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static String extractFixedPrefixFromLikePattern(const String & like_pattern)
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{
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String fixed_prefix;
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const char * pos = like_pattern.data();
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const char * end = pos + like_pattern.size();
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while (pos < end)
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{
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switch (*pos)
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{
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case '%':
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[[fallthrough]];
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case '_':
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return fixed_prefix;
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case '\\':
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++pos;
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if (pos == end)
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break;
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[[fallthrough]];
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default:
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fixed_prefix += *pos;
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break;
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}
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++pos;
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}
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return fixed_prefix;
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}
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/** For a given string, get a minimum string that is strictly greater than all strings with this prefix,
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* or return an empty string if there are no such strings.
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*/
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static String firstStringThatIsGreaterThanAllStringsWithPrefix(const String & prefix)
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{
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/** Increment the last byte of the prefix by one. But if it is max (255), then remove it and increase the previous one.
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* Example (for convenience, suppose that the maximum value of byte is `z`)
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* abcx -> abcy
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* abcz -> abd
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* zzz -> empty string
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* z -> empty string
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*/
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String res = prefix;
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while (!res.empty() && static_cast<UInt8>(res.back()) == std::numeric_limits<UInt8>::max())
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res.pop_back();
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if (res.empty())
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return res;
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res.back() = static_cast<char>(1 + static_cast<UInt8>(res.back()));
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return res;
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}
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/// A dictionary containing actions to the corresponding functions to turn them into `RPNElement`
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const KeyCondition::AtomMap KeyCondition::atom_map
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{
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{
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"notEquals",
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[] (RPNElement & out, const Field & value)
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{
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out.function = RPNElement::FUNCTION_NOT_IN_RANGE;
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out.range = Range(value);
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return true;
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}
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},
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{
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"equals",
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[] (RPNElement & out, const Field & value)
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{
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = Range(value);
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return true;
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}
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},
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{
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"less",
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[] (RPNElement & out, const Field & value)
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{
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = Range::createRightBounded(value, false);
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return true;
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}
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},
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{
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"greater",
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[] (RPNElement & out, const Field & value)
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{
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = Range::createLeftBounded(value, false);
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return true;
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}
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},
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{
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"lessOrEquals",
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[] (RPNElement & out, const Field & value)
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{
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = Range::createRightBounded(value, true);
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return true;
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}
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},
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{
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"greaterOrEquals",
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[] (RPNElement & out, const Field & value)
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{
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = Range::createLeftBounded(value, true);
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return true;
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}
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},
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{
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"in",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_IN_SET;
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return true;
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}
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},
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{
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"notIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_NOT_IN_SET;
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return true;
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}
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},
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{
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"globalIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_IN_SET;
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return true;
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}
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},
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{
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"globalNotIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_NOT_IN_SET;
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return true;
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}
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},
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{
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"nullIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_IN_SET;
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return true;
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}
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},
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{
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"notNullIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_NOT_IN_SET;
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return true;
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}
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},
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{
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"globalNullIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_IN_SET;
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return true;
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}
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},
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{
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"globalNotNullIn",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_NOT_IN_SET;
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return true;
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}
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},
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{
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"empty",
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[] (RPNElement & out, const Field & value)
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{
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if (value.getType() != Field::Types::String)
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return false;
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = Range("");
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return true;
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}
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},
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{
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"notEmpty",
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[] (RPNElement & out, const Field & value)
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{
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if (value.getType() != Field::Types::String)
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return false;
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out.function = RPNElement::FUNCTION_NOT_IN_RANGE;
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out.range = Range("");
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return true;
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}
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},
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{
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"like",
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[] (RPNElement & out, const Field & value)
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{
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if (value.getType() != Field::Types::String)
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return false;
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String prefix = extractFixedPrefixFromLikePattern(value.get<const String &>());
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if (prefix.empty())
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return false;
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String right_bound = firstStringThatIsGreaterThanAllStringsWithPrefix(prefix);
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = !right_bound.empty()
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? Range(prefix, true, right_bound, false)
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: Range::createLeftBounded(prefix, true);
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return true;
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}
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},
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{
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"notLike",
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[] (RPNElement & out, const Field & value)
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{
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if (value.getType() != Field::Types::String)
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return false;
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String prefix = extractFixedPrefixFromLikePattern(value.get<const String &>());
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if (prefix.empty())
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return false;
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String right_bound = firstStringThatIsGreaterThanAllStringsWithPrefix(prefix);
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out.function = RPNElement::FUNCTION_NOT_IN_RANGE;
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out.range = !right_bound.empty()
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? Range(prefix, true, right_bound, false)
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: Range::createLeftBounded(prefix, true);
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return true;
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}
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},
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{
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"startsWith",
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[] (RPNElement & out, const Field & value)
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{
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if (value.getType() != Field::Types::String)
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return false;
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String prefix = value.get<const String &>();
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if (prefix.empty())
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return false;
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String right_bound = firstStringThatIsGreaterThanAllStringsWithPrefix(prefix);
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out.function = RPNElement::FUNCTION_IN_RANGE;
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out.range = !right_bound.empty()
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? Range(prefix, true, right_bound, false)
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: Range::createLeftBounded(prefix, true);
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return true;
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}
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},
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{
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"isNotNull",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_IS_NOT_NULL;
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// isNotNull means (-Inf, +Inf), which is the default Range
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out.range = Range();
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return true;
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}
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},
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{
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"isNull",
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[] (RPNElement & out, const Field &)
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{
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out.function = RPNElement::FUNCTION_IS_NULL;
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// isNull means +Inf (NULLS_LAST) or -Inf (NULLS_FIRST),
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// which is eqivalent to not in Range (-Inf, +Inf)
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out.range = Range();
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return true;
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}
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}
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};
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static const std::map<std::string, std::string> inverse_relations = {
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{"equals", "notEquals"},
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{"notEquals", "equals"},
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{"less", "greaterOrEquals"},
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{"greaterOrEquals", "less"},
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{"greater", "lessOrEquals"},
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{"lessOrEquals", "greater"},
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{"in", "notIn"},
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{"notIn", "in"},
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{"globalIn", "globalNotIn"},
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{"globalNotIn", "globalIn"},
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{"nullIn", "notNullIn"},
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{"notNullIn", "nullIn"},
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{"globalNullIn", "globalNotNullIn"},
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{"globalNullNotIn", "globalNullIn"},
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{"isNull", "isNotNull"},
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{"isNotNull", "isNull"},
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{"like", "notLike"},
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{"notLike", "like"},
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{"empty", "notEmpty"},
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{"notEmpty", "empty"},
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};
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bool isLogicalOperator(const String & func_name)
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{
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return (func_name == "and" || func_name == "or" || func_name == "not" || func_name == "indexHint");
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}
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/// The node can be one of:
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/// - Logical operator (AND, OR, NOT and indexHint() - logical NOOP)
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/// - An "atom" (relational operator, constant, expression)
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/// - A logical constant expression
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/// - Any other function
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ASTPtr cloneASTWithInversionPushDown(const ASTPtr node, const bool need_inversion = false)
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{
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const ASTFunction * func = node->as<ASTFunction>();
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if (func && isLogicalOperator(func->name))
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{
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if (func->name == "not")
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{
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return cloneASTWithInversionPushDown(func->arguments->children.front(), !need_inversion);
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}
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const auto result_node = makeASTFunction(func->name);
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/// indexHint() is a special case - logical NOOP function
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if (result_node->name != "indexHint" && need_inversion)
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{
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result_node->name = (result_node->name == "and") ? "or" : "and";
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}
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if (func->arguments)
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{
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for (const auto & child : func->arguments->children)
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{
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result_node->arguments->children.push_back(cloneASTWithInversionPushDown(child, need_inversion));
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}
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}
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return result_node;
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}
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auto cloned_node = node->clone();
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if (func && inverse_relations.find(func->name) != inverse_relations.cend())
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{
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if (need_inversion)
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{
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cloned_node->as<ASTFunction>()->name = inverse_relations.at(func->name);
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}
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return cloned_node;
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}
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return need_inversion ? makeASTFunction("not", cloned_node) : cloned_node;
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}
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inline bool Range::equals(const Field & lhs, const Field & rhs) { return applyVisitor(FieldVisitorAccurateEquals(), lhs, rhs); }
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inline bool Range::less(const Field & lhs, const Field & rhs) { return applyVisitor(FieldVisitorAccurateLess(), lhs, rhs); }
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/** Calculate expressions, that depend only on constants.
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* For index to work when something like "WHERE Date = toDate(now())" is written.
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*/
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Block KeyCondition::getBlockWithConstants(
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const ASTPtr & query, const TreeRewriterResultPtr & syntax_analyzer_result, ContextPtr context)
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{
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Block result
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{
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{ DataTypeUInt8().createColumnConstWithDefaultValue(1), std::make_shared<DataTypeUInt8>(), "_dummy" }
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};
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const auto expr_for_constant_folding = ExpressionAnalyzer(query, syntax_analyzer_result, context).getConstActions();
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expr_for_constant_folding->execute(result);
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return result;
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}
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static NameSet getAllSubexpressionNames(const ExpressionActions & key_expr)
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{
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NameSet names;
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for (const auto & action : key_expr.getActions())
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names.insert(action.node->result_name);
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return names;
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}
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KeyCondition::KeyCondition(
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const SelectQueryInfo & query_info,
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ContextPtr context,
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const Names & key_column_names,
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const ExpressionActionsPtr & key_expr_,
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bool single_point_,
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bool strict_)
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: key_expr(key_expr_)
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, key_subexpr_names(getAllSubexpressionNames(*key_expr))
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, prepared_sets(query_info.sets)
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, single_point(single_point_)
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, strict(strict_)
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{
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for (size_t i = 0, size = key_column_names.size(); i < size; ++i)
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{
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std::string name = key_column_names[i];
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if (!key_columns.count(name))
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key_columns[name] = i;
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}
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/** Evaluation of expressions that depend only on constants.
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* For the index to be used, if it is written, for example `WHERE Date = toDate(now())`.
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*/
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Block block_with_constants = getBlockWithConstants(query_info.query, query_info.syntax_analyzer_result, context);
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for (const auto & [name, _] : query_info.syntax_analyzer_result->array_join_result_to_source)
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array_joined_columns.insert(name);
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const ASTSelectQuery & select = query_info.query->as<ASTSelectQuery &>();
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if (select.where() || select.prewhere())
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{
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ASTPtr filter_query;
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if (select.where() && select.prewhere())
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filter_query = makeASTFunction("and", select.where(), select.prewhere());
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else
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filter_query = select.where() ? select.where() : select.prewhere();
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/** When non-strictly monotonic functions are employed in functional index (e.g. ORDER BY toStartOfHour(dateTime)),
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* the use of NOT operator in predicate will result in the indexing algorithm leave out some data.
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* This is caused by rewriting in KeyCondition::tryParseAtomFromAST of relational operators to less strict
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* when parsing the AST into internal RPN representation.
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* To overcome the problem, before parsing the AST we transform it to its semantically equivalent form where all NOT's
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* are pushed down and applied (when possible) to leaf nodes.
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*/
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traverseAST(cloneASTWithInversionPushDown(filter_query), context, block_with_constants);
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}
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else
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{
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rpn.emplace_back(RPNElement::FUNCTION_UNKNOWN);
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}
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}
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bool KeyCondition::addCondition(const String & column, const Range & range)
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{
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if (!key_columns.count(column))
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return false;
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rpn.emplace_back(RPNElement::FUNCTION_IN_RANGE, key_columns[column], range);
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rpn.emplace_back(RPNElement::FUNCTION_AND);
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return true;
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}
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/** Computes value of constant expression and its data type.
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* Returns false, if expression isn't constant.
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*/
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bool KeyCondition::getConstant(const ASTPtr & expr, Block & block_with_constants, Field & out_value, DataTypePtr & out_type)
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{
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// Constant expr should use alias names if any
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String column_name = expr->getColumnName();
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if (const auto * lit = expr->as<ASTLiteral>())
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{
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/// By default block_with_constants has only one column named "_dummy".
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/// If block contains only constants it's may not be preprocessed by
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// ExpressionAnalyzer, so try to look up in the default column.
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if (!block_with_constants.has(column_name))
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column_name = "_dummy";
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/// Simple literal
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out_value = lit->value;
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out_type = block_with_constants.getByName(column_name).type;
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/// If constant is not Null, we can assume it's type is not Nullable as well.
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if (!out_value.isNull())
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out_type = removeNullable(out_type);
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return true;
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}
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else if (block_with_constants.has(column_name) && isColumnConst(*block_with_constants.getByName(column_name).column))
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{
|
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/// An expression which is dependent on constants only
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const auto & expr_info = block_with_constants.getByName(column_name);
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out_value = (*expr_info.column)[0];
|
|
out_type = expr_info.type;
|
|
|
|
if (!out_value.isNull())
|
|
out_type = removeNullable(out_type);
|
|
|
|
return true;
|
|
}
|
|
else
|
|
return false;
|
|
}
|
|
|
|
|
|
static Field applyFunctionForField(
|
|
const FunctionBasePtr & func,
|
|
const DataTypePtr & arg_type,
|
|
const Field & arg_value)
|
|
{
|
|
ColumnsWithTypeAndName columns
|
|
{
|
|
{ arg_type->createColumnConst(1, arg_value), arg_type, "x" },
|
|
};
|
|
|
|
auto col = func->execute(columns, func->getResultType(), 1);
|
|
return (*col)[0];
|
|
}
|
|
|
|
/// The case when arguments may have types different than in the primary key.
|
|
static std::pair<Field, DataTypePtr> applyFunctionForFieldOfUnknownType(
|
|
const FunctionBasePtr & func,
|
|
const DataTypePtr & arg_type,
|
|
const Field & arg_value)
|
|
{
|
|
ColumnsWithTypeAndName arguments{{ arg_type->createColumnConst(1, arg_value), arg_type, "x" }};
|
|
DataTypePtr return_type = func->getResultType();
|
|
|
|
auto col = func->execute(arguments, return_type, 1);
|
|
|
|
Field result = (*col)[0];
|
|
|
|
return {std::move(result), std::move(return_type)};
|
|
}
|
|
|
|
|
|
/// Same as above but for binary operators
|
|
static std::pair<Field, DataTypePtr> applyBinaryFunctionForFieldOfUnknownType(
|
|
const FunctionOverloadResolverPtr & func,
|
|
const DataTypePtr & arg_type,
|
|
const Field & arg_value,
|
|
const DataTypePtr & arg_type2,
|
|
const Field & arg_value2)
|
|
{
|
|
ColumnsWithTypeAndName arguments{
|
|
{arg_type->createColumnConst(1, arg_value), arg_type, "x"}, {arg_type2->createColumnConst(1, arg_value2), arg_type2, "y"}};
|
|
|
|
FunctionBasePtr func_base = func->build(arguments);
|
|
|
|
DataTypePtr return_type = func_base->getResultType();
|
|
|
|
auto col = func_base->execute(arguments, return_type, 1);
|
|
|
|
Field result = (*col)[0];
|
|
|
|
return {std::move(result), std::move(return_type)};
|
|
}
|
|
|
|
|
|
static FieldRef applyFunction(const FunctionBasePtr & func, const DataTypePtr & current_type, const FieldRef & field)
|
|
{
|
|
/// Fallback for fields without block reference.
|
|
if (field.isExplicit())
|
|
return applyFunctionForField(func, current_type, field);
|
|
|
|
String result_name = "_" + func->getName() + "_" + toString(field.column_idx);
|
|
const auto & columns = field.columns;
|
|
size_t result_idx = columns->size();
|
|
|
|
for (size_t i = 0; i < result_idx; ++i)
|
|
{
|
|
if ((*columns)[i].name == result_name)
|
|
result_idx = i;
|
|
}
|
|
|
|
ColumnsWithTypeAndName args{(*columns)[field.column_idx]};
|
|
if (result_idx == columns->size())
|
|
{
|
|
field.columns->emplace_back(ColumnWithTypeAndName {nullptr, func->getResultType(), result_name});
|
|
(*columns)[result_idx].column = func->execute(args, (*columns)[result_idx].type, columns->front().column->size());
|
|
}
|
|
|
|
return {field.columns, field.row_idx, result_idx};
|
|
}
|
|
|
|
void KeyCondition::traverseAST(const ASTPtr & node, ContextPtr context, Block & block_with_constants)
|
|
{
|
|
RPNElement element;
|
|
|
|
if (const auto * func = node->as<ASTFunction>())
|
|
{
|
|
if (tryParseLogicalOperatorFromAST(func, element))
|
|
{
|
|
auto & args = func->arguments->children;
|
|
for (size_t i = 0, size = args.size(); i < size; ++i)
|
|
{
|
|
traverseAST(args[i], context, block_with_constants);
|
|
|
|
/** The first part of the condition is for the correct support of `and` and `or` functions of arbitrary arity
|
|
* - in this case `n - 1` elements are added (where `n` is the number of arguments).
|
|
*/
|
|
if (i != 0 || element.function == RPNElement::FUNCTION_NOT)
|
|
rpn.emplace_back(element);
|
|
}
|
|
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (!tryParseAtomFromAST(node, context, block_with_constants, element))
|
|
{
|
|
element.function = RPNElement::FUNCTION_UNKNOWN;
|
|
}
|
|
|
|
rpn.emplace_back(std::move(element));
|
|
}
|
|
|
|
|
|
/** The key functional expression constraint may be inferred from a plain column in the expression.
|
|
* For example, if the key contains `toStartOfHour(Timestamp)` and query contains `WHERE Timestamp >= now()`,
|
|
* it can be assumed that if `toStartOfHour()` is monotonic on [now(), inf), the `toStartOfHour(Timestamp) >= toStartOfHour(now())`
|
|
* condition also holds, so the index may be used to select only parts satisfying this condition.
|
|
*
|
|
* To check the assumption, we'd need to assert that the inverse function to this transformation is also monotonic, however the
|
|
* inversion isn't exported (or even viable for not strictly monotonic functions such as `toStartOfHour()`).
|
|
* Instead, we can qualify only functions that do not transform the range (for example rounding),
|
|
* which while not strictly monotonic, are monotonic everywhere on the input range.
|
|
*/
|
|
bool KeyCondition::transformConstantWithValidFunctions(
|
|
const String & expr_name,
|
|
size_t & out_key_column_num,
|
|
DataTypePtr & out_key_column_type,
|
|
Field & out_value,
|
|
DataTypePtr & out_type,
|
|
std::function<bool(IFunctionBase &, const IDataType &)> always_monotonic) const
|
|
{
|
|
const auto & sample_block = key_expr->getSampleBlock();
|
|
for (const auto & node : key_expr->getNodes())
|
|
{
|
|
auto it = key_columns.find(node.result_name);
|
|
if (it != key_columns.end())
|
|
{
|
|
std::stack<const ActionsDAG::Node *> chain;
|
|
|
|
const auto * cur_node = &node;
|
|
bool is_valid_chain = true;
|
|
|
|
while (is_valid_chain)
|
|
{
|
|
if (cur_node->result_name == expr_name)
|
|
break;
|
|
|
|
chain.push(cur_node);
|
|
|
|
if (cur_node->type == ActionsDAG::ActionType::FUNCTION && cur_node->children.size() <= 2)
|
|
{
|
|
is_valid_chain = always_monotonic(*cur_node->function_base, *cur_node->result_type);
|
|
|
|
const ActionsDAG::Node * next_node = nullptr;
|
|
for (const auto * arg : cur_node->children)
|
|
{
|
|
if (arg->column && isColumnConst(*arg->column))
|
|
continue;
|
|
|
|
if (next_node)
|
|
is_valid_chain = false;
|
|
|
|
next_node = arg;
|
|
}
|
|
|
|
if (!next_node)
|
|
is_valid_chain = false;
|
|
|
|
cur_node = next_node;
|
|
}
|
|
else if (cur_node->type == ActionsDAG::ActionType::ALIAS)
|
|
cur_node = cur_node->children.front();
|
|
else
|
|
is_valid_chain = false;
|
|
}
|
|
|
|
if (is_valid_chain)
|
|
{
|
|
/// Here we cast constant to the input type.
|
|
/// It is not clear, why this works in general.
|
|
/// I can imagine the case when expression like `column < const` is legal,
|
|
/// but `type(column)` and `type(const)` are of different types,
|
|
/// and const cannot be casted to column type.
|
|
/// (There could be `superType(type(column), type(const))` which is used for comparison).
|
|
///
|
|
/// However, looks like this case newer happenes (I could not find such).
|
|
/// Let's assume that any two comparable types are castable to each other.
|
|
auto const_type = cur_node->result_type;
|
|
auto const_column = out_type->createColumnConst(1, out_value);
|
|
auto const_value = (*castColumn({const_column, out_type, ""}, const_type))[0];
|
|
|
|
while (!chain.empty())
|
|
{
|
|
const auto * func = chain.top();
|
|
chain.pop();
|
|
|
|
if (func->type != ActionsDAG::ActionType::FUNCTION)
|
|
continue;
|
|
|
|
if (func->children.size() == 1)
|
|
{
|
|
std::tie(const_value, const_type)
|
|
= applyFunctionForFieldOfUnknownType(func->function_base, const_type, const_value);
|
|
}
|
|
else if (func->children.size() == 2)
|
|
{
|
|
const auto * left = func->children[0];
|
|
const auto * right = func->children[1];
|
|
if (left->column && isColumnConst(*left->column))
|
|
{
|
|
auto left_arg_type = left->result_type;
|
|
auto left_arg_value = (*left->column)[0];
|
|
std::tie(const_value, const_type) = applyBinaryFunctionForFieldOfUnknownType(
|
|
func->function_builder, left_arg_type, left_arg_value, const_type, const_value);
|
|
}
|
|
else
|
|
{
|
|
auto right_arg_type = right->result_type;
|
|
auto right_arg_value = (*right->column)[0];
|
|
std::tie(const_value, const_type) = applyBinaryFunctionForFieldOfUnknownType(
|
|
func->function_builder, const_type, const_value, right_arg_type, right_arg_value);
|
|
}
|
|
}
|
|
}
|
|
|
|
out_key_column_num = it->second;
|
|
out_key_column_type = sample_block.getByName(it->first).type;
|
|
out_value = const_value;
|
|
out_type = const_type;
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
return false;
|
|
}
|
|
|
|
bool KeyCondition::canConstantBeWrappedByMonotonicFunctions(
|
|
const ASTPtr & node,
|
|
size_t & out_key_column_num,
|
|
DataTypePtr & out_key_column_type,
|
|
Field & out_value,
|
|
DataTypePtr & out_type)
|
|
{
|
|
String expr_name = node->getColumnNameWithoutAlias();
|
|
|
|
if (array_joined_columns.count(expr_name))
|
|
return false;
|
|
|
|
if (key_subexpr_names.count(expr_name) == 0)
|
|
return false;
|
|
|
|
if (out_value.isNull())
|
|
return false;
|
|
|
|
return transformConstantWithValidFunctions(
|
|
expr_name, out_key_column_num, out_key_column_type, out_value, out_type, [](IFunctionBase & func, const IDataType & type)
|
|
{
|
|
if (!func.hasInformationAboutMonotonicity())
|
|
return false;
|
|
else
|
|
{
|
|
/// Range is irrelevant in this case.
|
|
auto monotonicity = func.getMonotonicityForRange(type, Field(), Field());
|
|
if (!monotonicity.is_always_monotonic)
|
|
return false;
|
|
}
|
|
return true;
|
|
});
|
|
}
|
|
|
|
/// Looking for possible transformation of `column = constant` into `partition_expr = function(constant)`
|
|
bool KeyCondition::canConstantBeWrappedByFunctions(
|
|
const ASTPtr & ast, size_t & out_key_column_num, DataTypePtr & out_key_column_type, Field & out_value, DataTypePtr & out_type)
|
|
{
|
|
String expr_name = ast->getColumnNameWithoutAlias();
|
|
|
|
if (array_joined_columns.count(expr_name))
|
|
return false;
|
|
|
|
if (key_subexpr_names.count(expr_name) == 0)
|
|
{
|
|
/// Let's check another one case.
|
|
/// If our storage was created with moduloLegacy in partition key,
|
|
/// We can assume that `modulo(...) = const` is the same as `moduloLegacy(...) = const`.
|
|
/// Replace modulo to moduloLegacy in AST and check if we also have such a column.
|
|
///
|
|
/// We do not check this in canConstantBeWrappedByMonotonicFunctions.
|
|
/// The case `f(modulo(...))` for totally monotonic `f ` is consedered to be rare.
|
|
///
|
|
/// Note: for negative values, we can filter more partitions then needed.
|
|
auto adjusted_ast = ast->clone();
|
|
KeyDescription::moduloToModuloLegacyRecursive(adjusted_ast);
|
|
expr_name = adjusted_ast->getColumnName();
|
|
|
|
if (key_subexpr_names.count(expr_name) == 0)
|
|
return false;
|
|
}
|
|
|
|
if (out_value.isNull())
|
|
return false;
|
|
|
|
return transformConstantWithValidFunctions(
|
|
expr_name, out_key_column_num, out_key_column_type, out_value, out_type, [](IFunctionBase & func, const IDataType &)
|
|
{
|
|
return func.isDeterministic();
|
|
});
|
|
}
|
|
|
|
bool KeyCondition::tryPrepareSetIndex(
|
|
const ASTs & args,
|
|
ContextPtr context,
|
|
RPNElement & out,
|
|
size_t & out_key_column_num)
|
|
{
|
|
const ASTPtr & left_arg = args[0];
|
|
|
|
out_key_column_num = 0;
|
|
std::vector<MergeTreeSetIndex::KeyTuplePositionMapping> indexes_mapping;
|
|
DataTypes data_types;
|
|
|
|
auto get_key_tuple_position_mapping = [&](const ASTPtr & node, size_t tuple_index)
|
|
{
|
|
MergeTreeSetIndex::KeyTuplePositionMapping index_mapping;
|
|
index_mapping.tuple_index = tuple_index;
|
|
DataTypePtr data_type;
|
|
if (isKeyPossiblyWrappedByMonotonicFunctions(
|
|
node, context, index_mapping.key_index, data_type, index_mapping.functions))
|
|
{
|
|
indexes_mapping.push_back(index_mapping);
|
|
data_types.push_back(data_type);
|
|
if (out_key_column_num < index_mapping.key_index)
|
|
out_key_column_num = index_mapping.key_index;
|
|
}
|
|
};
|
|
|
|
size_t left_args_count = 1;
|
|
const auto * left_arg_tuple = left_arg->as<ASTFunction>();
|
|
if (left_arg_tuple && left_arg_tuple->name == "tuple")
|
|
{
|
|
const auto & tuple_elements = left_arg_tuple->arguments->children;
|
|
left_args_count = tuple_elements.size();
|
|
for (size_t i = 0; i < left_args_count; ++i)
|
|
get_key_tuple_position_mapping(tuple_elements[i], i);
|
|
}
|
|
else
|
|
get_key_tuple_position_mapping(left_arg, 0);
|
|
|
|
if (indexes_mapping.empty())
|
|
return false;
|
|
|
|
const ASTPtr & right_arg = args[1];
|
|
|
|
SetPtr prepared_set;
|
|
if (right_arg->as<ASTSubquery>() || right_arg->as<ASTTableIdentifier>())
|
|
{
|
|
auto set_it = prepared_sets.find(PreparedSetKey::forSubquery(*right_arg));
|
|
if (set_it == prepared_sets.end())
|
|
return false;
|
|
|
|
prepared_set = set_it->second;
|
|
}
|
|
else
|
|
{
|
|
/// We have `PreparedSetKey::forLiteral` but it is useless here as we don't have enough information
|
|
/// about types in left argument of the IN operator. Instead, we manually iterate through all the sets
|
|
/// and find the one for the right arg based on the AST structure (getTreeHash), after that we check
|
|
/// that the types it was prepared with are compatible with the types of the primary key.
|
|
auto set_ast_hash = right_arg->getTreeHash();
|
|
auto set_it = std::find_if(
|
|
prepared_sets.begin(), prepared_sets.end(),
|
|
[&](const auto & candidate_entry)
|
|
{
|
|
if (candidate_entry.first.ast_hash != set_ast_hash)
|
|
return false;
|
|
|
|
for (size_t i = 0; i < indexes_mapping.size(); ++i)
|
|
if (!candidate_entry.second->areTypesEqual(indexes_mapping[i].tuple_index, data_types[i]))
|
|
return false;
|
|
|
|
return true;
|
|
});
|
|
if (set_it == prepared_sets.end())
|
|
return false;
|
|
|
|
prepared_set = set_it->second;
|
|
}
|
|
|
|
/// The index can be prepared if the elements of the set were saved in advance.
|
|
if (!prepared_set->hasExplicitSetElements())
|
|
return false;
|
|
|
|
prepared_set->checkColumnsNumber(left_args_count);
|
|
for (size_t i = 0; i < indexes_mapping.size(); ++i)
|
|
prepared_set->checkTypesEqual(indexes_mapping[i].tuple_index, data_types[i]);
|
|
|
|
out.set_index = std::make_shared<MergeTreeSetIndex>(prepared_set->getSetElements(), std::move(indexes_mapping));
|
|
|
|
return true;
|
|
}
|
|
|
|
|
|
/** Allow to use two argument function with constant argument to be analyzed as a single argument function.
|
|
* In other words, it performs "currying" (binding of arguments).
|
|
* This is needed, for example, to support correct analysis of `toDate(time, 'UTC')`.
|
|
*/
|
|
class FunctionWithOptionalConstArg : public IFunctionBase
|
|
{
|
|
public:
|
|
enum Kind
|
|
{
|
|
NO_CONST = 0,
|
|
LEFT_CONST,
|
|
RIGHT_CONST,
|
|
};
|
|
|
|
explicit FunctionWithOptionalConstArg(const FunctionBasePtr & func_) : func(func_) {}
|
|
FunctionWithOptionalConstArg(const FunctionBasePtr & func_, const ColumnWithTypeAndName & const_arg_, Kind kind_)
|
|
: func(func_), const_arg(const_arg_), kind(kind_)
|
|
{
|
|
}
|
|
|
|
String getName() const override { return func->getName(); }
|
|
|
|
const DataTypes & getArgumentTypes() const override { return func->getArgumentTypes(); }
|
|
|
|
const DataTypePtr & getResultType() const override { return func->getResultType(); }
|
|
|
|
ExecutableFunctionPtr prepare(const ColumnsWithTypeAndName & arguments) const override { return func->prepare(arguments); }
|
|
|
|
ColumnPtr
|
|
execute(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count, bool dry_run) const override
|
|
{
|
|
if (kind == Kind::LEFT_CONST)
|
|
{
|
|
ColumnsWithTypeAndName new_arguments;
|
|
new_arguments.reserve(arguments.size() + 1);
|
|
new_arguments.push_back(const_arg);
|
|
for (const auto & arg : arguments)
|
|
new_arguments.push_back(arg);
|
|
return func->prepare(new_arguments)->execute(new_arguments, result_type, input_rows_count, dry_run);
|
|
}
|
|
else if (kind == Kind::RIGHT_CONST)
|
|
{
|
|
auto new_arguments = arguments;
|
|
new_arguments.push_back(const_arg);
|
|
return func->prepare(new_arguments)->execute(new_arguments, result_type, input_rows_count, dry_run);
|
|
}
|
|
else
|
|
return func->prepare(arguments)->execute(arguments, result_type, input_rows_count, dry_run);
|
|
}
|
|
|
|
bool isDeterministic() const override { return func->isDeterministic(); }
|
|
|
|
bool isDeterministicInScopeOfQuery() const override { return func->isDeterministicInScopeOfQuery(); }
|
|
|
|
bool hasInformationAboutMonotonicity() const override { return func->hasInformationAboutMonotonicity(); }
|
|
|
|
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & arguments) const override { return func->isSuitableForShortCircuitArgumentsExecution(arguments); }
|
|
|
|
IFunctionBase::Monotonicity getMonotonicityForRange(const IDataType & type, const Field & left, const Field & right) const override
|
|
{
|
|
return func->getMonotonicityForRange(type, left, right);
|
|
}
|
|
|
|
Kind getKind() const { return kind; }
|
|
const ColumnWithTypeAndName & getConstArg() const { return const_arg; }
|
|
|
|
private:
|
|
FunctionBasePtr func;
|
|
ColumnWithTypeAndName const_arg;
|
|
Kind kind = Kind::NO_CONST;
|
|
};
|
|
|
|
|
|
bool KeyCondition::isKeyPossiblyWrappedByMonotonicFunctions(
|
|
const ASTPtr & node,
|
|
ContextPtr context,
|
|
size_t & out_key_column_num,
|
|
DataTypePtr & out_key_res_column_type,
|
|
MonotonicFunctionsChain & out_functions_chain)
|
|
{
|
|
std::vector<const ASTFunction *> chain_not_tested_for_monotonicity;
|
|
DataTypePtr key_column_type;
|
|
|
|
if (!isKeyPossiblyWrappedByMonotonicFunctionsImpl(node, out_key_column_num, key_column_type, chain_not_tested_for_monotonicity))
|
|
return false;
|
|
|
|
for (auto it = chain_not_tested_for_monotonicity.rbegin(); it != chain_not_tested_for_monotonicity.rend(); ++it)
|
|
{
|
|
const auto & args = (*it)->arguments->children;
|
|
auto func_builder = FunctionFactory::instance().tryGet((*it)->name, context);
|
|
if (!func_builder)
|
|
return false;
|
|
ColumnsWithTypeAndName arguments;
|
|
ColumnWithTypeAndName const_arg;
|
|
FunctionWithOptionalConstArg::Kind kind = FunctionWithOptionalConstArg::Kind::NO_CONST;
|
|
if (args.size() == 2)
|
|
{
|
|
if (const auto * arg_left = args[0]->as<ASTLiteral>())
|
|
{
|
|
auto left_arg_type = applyVisitor(FieldToDataType(), arg_left->value);
|
|
const_arg = { left_arg_type->createColumnConst(0, arg_left->value), left_arg_type, "" };
|
|
arguments.push_back(const_arg);
|
|
arguments.push_back({ nullptr, key_column_type, "" });
|
|
kind = FunctionWithOptionalConstArg::Kind::LEFT_CONST;
|
|
}
|
|
else if (const auto * arg_right = args[1]->as<ASTLiteral>())
|
|
{
|
|
arguments.push_back({ nullptr, key_column_type, "" });
|
|
auto right_arg_type = applyVisitor(FieldToDataType(), arg_right->value);
|
|
const_arg = { right_arg_type->createColumnConst(0, arg_right->value), right_arg_type, "" };
|
|
arguments.push_back(const_arg);
|
|
kind = FunctionWithOptionalConstArg::Kind::RIGHT_CONST;
|
|
}
|
|
}
|
|
else
|
|
arguments.push_back({ nullptr, key_column_type, "" });
|
|
auto func = func_builder->build(arguments);
|
|
|
|
/// If we know the given range only contains one value, then we treat all functions as positive monotonic.
|
|
if (!func || (!single_point && !func->hasInformationAboutMonotonicity()))
|
|
return false;
|
|
|
|
key_column_type = func->getResultType();
|
|
if (kind == FunctionWithOptionalConstArg::Kind::NO_CONST)
|
|
out_functions_chain.push_back(func);
|
|
else
|
|
out_functions_chain.push_back(std::make_shared<FunctionWithOptionalConstArg>(func, const_arg, kind));
|
|
}
|
|
|
|
out_key_res_column_type = key_column_type;
|
|
|
|
return true;
|
|
}
|
|
|
|
bool KeyCondition::isKeyPossiblyWrappedByMonotonicFunctionsImpl(
|
|
const ASTPtr & node,
|
|
size_t & out_key_column_num,
|
|
DataTypePtr & out_key_column_type,
|
|
std::vector<const ASTFunction *> & out_functions_chain)
|
|
{
|
|
/** By itself, the key column can be a functional expression. for example, `intHash32(UserID)`.
|
|
* Therefore, use the full name of the expression for search.
|
|
*/
|
|
const auto & sample_block = key_expr->getSampleBlock();
|
|
|
|
// Key columns should use canonical names for index analysis
|
|
String name = node->getColumnNameWithoutAlias();
|
|
|
|
if (array_joined_columns.count(name))
|
|
return false;
|
|
|
|
auto it = key_columns.find(name);
|
|
if (key_columns.end() != it)
|
|
{
|
|
out_key_column_num = it->second;
|
|
out_key_column_type = sample_block.getByName(it->first).type;
|
|
return true;
|
|
}
|
|
|
|
if (const auto * func = node->as<ASTFunction>())
|
|
{
|
|
if (!func->arguments)
|
|
return false;
|
|
|
|
const auto & args = func->arguments->children;
|
|
if (args.size() > 2 || args.empty())
|
|
return false;
|
|
|
|
out_functions_chain.push_back(func);
|
|
bool ret = false;
|
|
if (args.size() == 2)
|
|
{
|
|
if (args[0]->as<ASTLiteral>())
|
|
{
|
|
ret = isKeyPossiblyWrappedByMonotonicFunctionsImpl(args[1], out_key_column_num, out_key_column_type, out_functions_chain);
|
|
}
|
|
else if (args[1]->as<ASTLiteral>())
|
|
{
|
|
ret = isKeyPossiblyWrappedByMonotonicFunctionsImpl(args[0], out_key_column_num, out_key_column_type, out_functions_chain);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
ret = isKeyPossiblyWrappedByMonotonicFunctionsImpl(args[0], out_key_column_num, out_key_column_type, out_functions_chain);
|
|
}
|
|
return ret;
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
|
|
static void castValueToType(const DataTypePtr & desired_type, Field & src_value, const DataTypePtr & src_type, const ASTPtr & node)
|
|
{
|
|
try
|
|
{
|
|
src_value = convertFieldToType(src_value, *desired_type, src_type.get());
|
|
}
|
|
catch (...)
|
|
{
|
|
throw Exception("Key expression contains comparison between inconvertible types: " +
|
|
desired_type->getName() + " and " + src_type->getName() +
|
|
" inside " + queryToString(node),
|
|
ErrorCodes::BAD_TYPE_OF_FIELD);
|
|
}
|
|
}
|
|
|
|
|
|
bool KeyCondition::tryParseAtomFromAST(const ASTPtr & node, ContextPtr context, Block & block_with_constants, RPNElement & out)
|
|
{
|
|
/** Functions < > = != <= >= in `notIn` isNull isNotNull, where one argument is a constant, and the other is one of columns of key,
|
|
* or itself, wrapped in a chain of possibly-monotonic functions,
|
|
* or constant expression - number.
|
|
*/
|
|
Field const_value;
|
|
DataTypePtr const_type;
|
|
if (const auto * func = node->as<ASTFunction>())
|
|
{
|
|
const ASTs & args = func->arguments->children;
|
|
|
|
DataTypePtr key_expr_type; /// Type of expression containing key column
|
|
size_t key_column_num = -1; /// Number of a key column (inside key_column_names array)
|
|
MonotonicFunctionsChain chain;
|
|
std::string func_name = func->name;
|
|
|
|
if (atom_map.find(func_name) == std::end(atom_map))
|
|
return false;
|
|
|
|
if (args.size() == 1)
|
|
{
|
|
if (!(isKeyPossiblyWrappedByMonotonicFunctions(args[0], context, key_column_num, key_expr_type, chain)))
|
|
return false;
|
|
|
|
if (key_column_num == static_cast<size_t>(-1))
|
|
throw Exception("`key_column_num` wasn't initialized. It is a bug.", ErrorCodes::LOGICAL_ERROR);
|
|
}
|
|
else if (args.size() == 2)
|
|
{
|
|
size_t key_arg_pos; /// Position of argument with key column (non-const argument)
|
|
bool is_set_const = false;
|
|
bool is_constant_transformed = false;
|
|
|
|
/// We don't look for inversed key transformations when strict is true, which is required for trivial count().
|
|
/// Consider the following test case:
|
|
///
|
|
/// create table test1(p DateTime, k int) engine MergeTree partition by toDate(p) order by k;
|
|
/// insert into test1 values ('2020-09-01 00:01:02', 1), ('2020-09-01 20:01:03', 2), ('2020-09-02 00:01:03', 3);
|
|
/// select count() from test1 where p > toDateTime('2020-09-01 10:00:00');
|
|
///
|
|
/// toDate(DateTime) is always monotonic, but we cannot relax the predicates to be
|
|
/// >= toDate(toDateTime('2020-09-01 10:00:00')), which returns 3 instead of the right count: 2.
|
|
bool strict_condition = strict;
|
|
|
|
/// If we use this key condition to prune partitions by single value, we cannot relax conditions for NOT.
|
|
if (single_point
|
|
&& (func_name == "notLike" || func_name == "notIn" || func_name == "globalNotIn" || func_name == "notNullIn"
|
|
|| func_name == "globalNotNullIn" || func_name == "notEquals" || func_name == "notEmpty"))
|
|
strict_condition = true;
|
|
|
|
if (functionIsInOrGlobalInOperator(func_name))
|
|
{
|
|
if (tryPrepareSetIndex(args, context, out, key_column_num))
|
|
{
|
|
key_arg_pos = 0;
|
|
is_set_const = true;
|
|
}
|
|
else
|
|
return false;
|
|
}
|
|
else if (getConstant(args[1], block_with_constants, const_value, const_type))
|
|
{
|
|
if (isKeyPossiblyWrappedByMonotonicFunctions(args[0], context, key_column_num, key_expr_type, chain))
|
|
{
|
|
key_arg_pos = 0;
|
|
}
|
|
else if (
|
|
!strict_condition
|
|
&& canConstantBeWrappedByMonotonicFunctions(args[0], key_column_num, key_expr_type, const_value, const_type))
|
|
{
|
|
key_arg_pos = 0;
|
|
is_constant_transformed = true;
|
|
}
|
|
else if (
|
|
single_point && func_name == "equals" && !strict_condition
|
|
&& canConstantBeWrappedByFunctions(args[0], key_column_num, key_expr_type, const_value, const_type))
|
|
{
|
|
key_arg_pos = 0;
|
|
is_constant_transformed = true;
|
|
}
|
|
else
|
|
return false;
|
|
}
|
|
else if (getConstant(args[0], block_with_constants, const_value, const_type))
|
|
{
|
|
if (isKeyPossiblyWrappedByMonotonicFunctions(args[1], context, key_column_num, key_expr_type, chain))
|
|
{
|
|
key_arg_pos = 1;
|
|
}
|
|
else if (
|
|
!strict_condition
|
|
&& canConstantBeWrappedByMonotonicFunctions(args[1], key_column_num, key_expr_type, const_value, const_type))
|
|
{
|
|
key_arg_pos = 1;
|
|
is_constant_transformed = true;
|
|
}
|
|
else if (
|
|
single_point && func_name == "equals" && !strict_condition
|
|
&& canConstantBeWrappedByFunctions(args[1], key_column_num, key_expr_type, const_value, const_type))
|
|
{
|
|
key_arg_pos = 0;
|
|
is_constant_transformed = true;
|
|
}
|
|
else
|
|
return false;
|
|
}
|
|
else
|
|
return false;
|
|
|
|
if (key_column_num == static_cast<size_t>(-1))
|
|
throw Exception("`key_column_num` wasn't initialized. It is a bug.", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
/// Replace <const> <sign> <data> on to <data> <-sign> <const>
|
|
if (key_arg_pos == 1)
|
|
{
|
|
if (func_name == "less")
|
|
func_name = "greater";
|
|
else if (func_name == "greater")
|
|
func_name = "less";
|
|
else if (func_name == "greaterOrEquals")
|
|
func_name = "lessOrEquals";
|
|
else if (func_name == "lessOrEquals")
|
|
func_name = "greaterOrEquals";
|
|
else if (func_name == "in" || func_name == "notIn" ||
|
|
func_name == "like" || func_name == "notLike" ||
|
|
func_name == "ilike" || func_name == "notIlike" ||
|
|
func_name == "startsWith")
|
|
{
|
|
/// "const IN data_column" doesn't make sense (unlike "data_column IN const")
|
|
return false;
|
|
}
|
|
}
|
|
|
|
bool cast_not_needed = is_set_const /// Set args are already casted inside Set::createFromAST
|
|
|| ((isNativeNumber(key_expr_type) || isDateTime(key_expr_type))
|
|
&& (isNativeNumber(const_type) || isDateTime(const_type))); /// Numbers and DateTime are accurately compared without cast.
|
|
|
|
if (!cast_not_needed && !key_expr_type->equals(*const_type))
|
|
{
|
|
if (const_value.getType() == Field::Types::String)
|
|
{
|
|
const_value = convertFieldToType(const_value, *key_expr_type);
|
|
if (const_value.isNull())
|
|
return false;
|
|
// No need to set is_constant_transformed because we're doing exact conversion
|
|
}
|
|
else
|
|
{
|
|
DataTypePtr common_type = getLeastSupertype({key_expr_type, const_type});
|
|
if (!const_type->equals(*common_type))
|
|
{
|
|
castValueToType(common_type, const_value, const_type, node);
|
|
|
|
// Need to set is_constant_transformed unless we're doing exact conversion
|
|
if (!key_expr_type->equals(*common_type))
|
|
is_constant_transformed = true;
|
|
}
|
|
if (!key_expr_type->equals(*common_type))
|
|
{
|
|
ColumnsWithTypeAndName arguments{
|
|
{nullptr, key_expr_type, ""}, {DataTypeString().createColumnConst(1, common_type->getName()), common_type, ""}};
|
|
FunctionOverloadResolverPtr func_builder_cast = CastInternalOverloadResolver<CastType::nonAccurate>::createImpl();
|
|
auto func_cast = func_builder_cast->build(arguments);
|
|
|
|
/// If we know the given range only contains one value, then we treat all functions as positive monotonic.
|
|
if (!func_cast || (!single_point && !func_cast->hasInformationAboutMonotonicity()))
|
|
return false;
|
|
chain.push_back(func_cast);
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Transformed constant must weaken the condition, for example "x > 5" must weaken to "round(x) >= 5"
|
|
if (is_constant_transformed)
|
|
{
|
|
if (func_name == "less")
|
|
func_name = "lessOrEquals";
|
|
else if (func_name == "greater")
|
|
func_name = "greaterOrEquals";
|
|
}
|
|
|
|
}
|
|
else
|
|
return false;
|
|
|
|
const auto atom_it = atom_map.find(func_name);
|
|
|
|
out.key_column = key_column_num;
|
|
out.monotonic_functions_chain = std::move(chain);
|
|
|
|
return atom_it->second(out, const_value);
|
|
}
|
|
else if (getConstant(node, block_with_constants, const_value, const_type))
|
|
{
|
|
/// For cases where it says, for example, `WHERE 0 AND something`
|
|
|
|
if (const_value.getType() == Field::Types::UInt64)
|
|
{
|
|
out.function = const_value.safeGet<UInt64>() ? RPNElement::ALWAYS_TRUE : RPNElement::ALWAYS_FALSE;
|
|
return true;
|
|
}
|
|
else if (const_value.getType() == Field::Types::Int64)
|
|
{
|
|
out.function = const_value.safeGet<Int64>() ? RPNElement::ALWAYS_TRUE : RPNElement::ALWAYS_FALSE;
|
|
return true;
|
|
}
|
|
else if (const_value.getType() == Field::Types::Float64)
|
|
{
|
|
out.function = const_value.safeGet<Float64>() ? RPNElement::ALWAYS_TRUE : RPNElement::ALWAYS_FALSE;
|
|
return true;
|
|
}
|
|
}
|
|
return false;
|
|
}
|
|
|
|
bool KeyCondition::tryParseLogicalOperatorFromAST(const ASTFunction * func, RPNElement & out)
|
|
{
|
|
/// Functions AND, OR, NOT.
|
|
/// Also a special function `indexHint` - works as if instead of calling a function there are just parentheses
|
|
/// (or, the same thing - calling the function `and` from one argument).
|
|
const ASTs & args = func->arguments->children;
|
|
|
|
if (func->name == "not")
|
|
{
|
|
if (args.size() != 1)
|
|
return false;
|
|
|
|
out.function = RPNElement::FUNCTION_NOT;
|
|
}
|
|
else
|
|
{
|
|
if (func->name == "and" || func->name == "indexHint")
|
|
out.function = RPNElement::FUNCTION_AND;
|
|
else if (func->name == "or")
|
|
out.function = RPNElement::FUNCTION_OR;
|
|
else
|
|
return false;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
String KeyCondition::toString() const
|
|
{
|
|
String res;
|
|
for (size_t i = 0; i < rpn.size(); ++i)
|
|
{
|
|
if (i)
|
|
res += ", ";
|
|
res += rpn[i].toString();
|
|
}
|
|
return res;
|
|
}
|
|
|
|
KeyCondition::Description KeyCondition::getDescription() const
|
|
{
|
|
/// This code may seem to be too difficult.
|
|
/// Here we want to convert RPN back to tree, and also simplify some logical expressions like `and(x, true) -> x`.
|
|
Description description;
|
|
|
|
/// That's a binary tree. Explicit.
|
|
/// Build and optimize it simultaneously.
|
|
struct Node
|
|
{
|
|
enum class Type
|
|
{
|
|
/// Leaf, which is RPNElement.
|
|
Leaf,
|
|
/// Leafs, which are logical constants.
|
|
True,
|
|
False,
|
|
/// Binary operators.
|
|
And,
|
|
Or,
|
|
};
|
|
|
|
Type type{};
|
|
|
|
/// Only for Leaf
|
|
const RPNElement * element = nullptr;
|
|
/// This means that logical NOT is applied to leaf.
|
|
bool negate = false;
|
|
|
|
std::unique_ptr<Node> left = nullptr;
|
|
std::unique_ptr<Node> right = nullptr;
|
|
};
|
|
|
|
/// The algorithm is the same as in KeyCondition::checkInHyperrectangle
|
|
/// We build a pair of trees on stack. For checking if key condition may be true, and if it may be false.
|
|
/// We need only `can_be_true` in result.
|
|
struct Frame
|
|
{
|
|
std::unique_ptr<Node> can_be_true;
|
|
std::unique_ptr<Node> can_be_false;
|
|
};
|
|
|
|
/// Combine two subtrees using logical operator.
|
|
auto combine = [](std::unique_ptr<Node> left, std::unique_ptr<Node> right, Node::Type type)
|
|
{
|
|
/// Simplify operators with for one constant condition.
|
|
|
|
if (type == Node::Type::And)
|
|
{
|
|
/// false AND right
|
|
if (left->type == Node::Type::False)
|
|
return left;
|
|
|
|
/// left AND false
|
|
if (right->type == Node::Type::False)
|
|
return right;
|
|
|
|
/// true AND right
|
|
if (left->type == Node::Type::True)
|
|
return right;
|
|
|
|
/// left AND true
|
|
if (right->type == Node::Type::True)
|
|
return left;
|
|
}
|
|
|
|
if (type == Node::Type::Or)
|
|
{
|
|
/// false OR right
|
|
if (left->type == Node::Type::False)
|
|
return right;
|
|
|
|
/// left OR false
|
|
if (right->type == Node::Type::False)
|
|
return left;
|
|
|
|
/// true OR right
|
|
if (left->type == Node::Type::True)
|
|
return left;
|
|
|
|
/// left OR true
|
|
if (right->type == Node::Type::True)
|
|
return right;
|
|
}
|
|
|
|
return std::make_unique<Node>(Node{
|
|
.type = type,
|
|
.left = std::move(left),
|
|
.right = std::move(right)
|
|
});
|
|
};
|
|
|
|
std::vector<Frame> rpn_stack;
|
|
for (const auto & element : rpn)
|
|
{
|
|
if (element.function == RPNElement::FUNCTION_UNKNOWN)
|
|
{
|
|
auto can_be_true = std::make_unique<Node>(Node{.type = Node::Type::True});
|
|
auto can_be_false = std::make_unique<Node>(Node{.type = Node::Type::True});
|
|
rpn_stack.emplace_back(Frame{.can_be_true = std::move(can_be_true), .can_be_false = std::move(can_be_false)});
|
|
}
|
|
else if (
|
|
element.function == RPNElement::FUNCTION_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_NOT_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_IS_NULL
|
|
|| element.function == RPNElement::FUNCTION_IS_NOT_NULL
|
|
|| element.function == RPNElement::FUNCTION_IN_SET
|
|
|| element.function == RPNElement::FUNCTION_NOT_IN_SET)
|
|
{
|
|
auto can_be_true = std::make_unique<Node>(Node{.type = Node::Type::Leaf, .element = &element, .negate = false});
|
|
auto can_be_false = std::make_unique<Node>(Node{.type = Node::Type::Leaf, .element = &element, .negate = true});
|
|
rpn_stack.emplace_back(Frame{.can_be_true = std::move(can_be_true), .can_be_false = std::move(can_be_false)});
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_NOT)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
|
|
std::swap(rpn_stack.back().can_be_true, rpn_stack.back().can_be_false);
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_AND)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
auto arg1 = std::move(rpn_stack.back());
|
|
|
|
rpn_stack.pop_back();
|
|
|
|
assert(!rpn_stack.empty());
|
|
auto arg2 = std::move(rpn_stack.back());
|
|
|
|
Frame frame;
|
|
frame.can_be_true = combine(std::move(arg1.can_be_true), std::move(arg2.can_be_true), Node::Type::And);
|
|
frame.can_be_false = combine(std::move(arg1.can_be_false), std::move(arg2.can_be_false), Node::Type::Or);
|
|
|
|
rpn_stack.back() = std::move(frame);
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_OR)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
auto arg1 = std::move(rpn_stack.back());
|
|
|
|
rpn_stack.pop_back();
|
|
|
|
assert(!rpn_stack.empty());
|
|
auto arg2 = std::move(rpn_stack.back());
|
|
|
|
Frame frame;
|
|
frame.can_be_true = combine(std::move(arg1.can_be_true), std::move(arg2.can_be_true), Node::Type::Or);
|
|
frame.can_be_false = combine(std::move(arg1.can_be_false), std::move(arg2.can_be_false), Node::Type::And);
|
|
|
|
rpn_stack.back() = std::move(frame);
|
|
}
|
|
else if (element.function == RPNElement::ALWAYS_FALSE)
|
|
{
|
|
auto can_be_true = std::make_unique<Node>(Node{.type = Node::Type::False});
|
|
auto can_be_false = std::make_unique<Node>(Node{.type = Node::Type::True});
|
|
|
|
rpn_stack.emplace_back(Frame{.can_be_true = std::move(can_be_true), .can_be_false = std::move(can_be_false)});
|
|
}
|
|
else if (element.function == RPNElement::ALWAYS_TRUE)
|
|
{
|
|
auto can_be_true = std::make_unique<Node>(Node{.type = Node::Type::True});
|
|
auto can_be_false = std::make_unique<Node>(Node{.type = Node::Type::False});
|
|
rpn_stack.emplace_back(Frame{.can_be_true = std::move(can_be_true), .can_be_false = std::move(can_be_false)});
|
|
}
|
|
else
|
|
throw Exception("Unexpected function type in KeyCondition::RPNElement", ErrorCodes::LOGICAL_ERROR);
|
|
}
|
|
|
|
if (rpn_stack.size() != 1)
|
|
throw Exception("Unexpected stack size in KeyCondition::checkInRange", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
std::vector<std::string_view> key_names(key_columns.size());
|
|
std::vector<bool> is_key_used(key_columns.size(), false);
|
|
|
|
for (const auto & key : key_columns)
|
|
key_names[key.second] = key.first;
|
|
|
|
WriteBufferFromOwnString buf;
|
|
|
|
std::function<void(const Node *)> describe;
|
|
describe = [&describe, &key_names, &is_key_used, &buf](const Node * node)
|
|
{
|
|
switch (node->type)
|
|
{
|
|
case Node::Type::Leaf:
|
|
{
|
|
is_key_used[node->element->key_column] = true;
|
|
|
|
/// Note: for condition with double negation, like `not(x not in set)`,
|
|
/// we can replace it to `x in set` here.
|
|
/// But I won't do it, because `cloneASTWithInversionPushDown` already push down `not`.
|
|
/// So, this seem to be impossible for `can_be_true` tree.
|
|
if (node->negate)
|
|
buf << "not(";
|
|
buf << node->element->toString(key_names[node->element->key_column], true);
|
|
if (node->negate)
|
|
buf << ")";
|
|
break;
|
|
}
|
|
case Node::Type::True:
|
|
buf << "true";
|
|
break;
|
|
case Node::Type::False:
|
|
buf << "false";
|
|
break;
|
|
case Node::Type::And:
|
|
buf << "and(";
|
|
describe(node->left.get());
|
|
buf << ", ";
|
|
describe(node->right.get());
|
|
buf << ")";
|
|
break;
|
|
case Node::Type::Or:
|
|
buf << "or(";
|
|
describe(node->left.get());
|
|
buf << ", ";
|
|
describe(node->right.get());
|
|
buf << ")";
|
|
break;
|
|
}
|
|
};
|
|
|
|
describe(rpn_stack.front().can_be_true.get());
|
|
description.condition = std::move(buf.str());
|
|
|
|
for (size_t i = 0; i < key_names.size(); ++i)
|
|
if (is_key_used[i])
|
|
description.used_keys.emplace_back(key_names[i]);
|
|
|
|
return description;
|
|
}
|
|
|
|
/** Index is the value of key every `index_granularity` rows.
|
|
* This value is called a "mark". That is, the index consists of marks.
|
|
*
|
|
* The key is the tuple.
|
|
* The data is sorted by key in the sense of lexicographic order over tuples.
|
|
*
|
|
* A pair of marks specifies a segment with respect to the order over the tuples.
|
|
* Denote it like this: [ x1 y1 z1 .. x2 y2 z2 ],
|
|
* where x1 y1 z1 - tuple - value of key in left border of segment;
|
|
* x2 y2 z2 - tuple - value of key in right boundary of segment.
|
|
* In this section there are data between these marks.
|
|
*
|
|
* Or, the last mark specifies the range open on the right: [ a b c .. + inf )
|
|
*
|
|
* The set of all possible tuples can be considered as an n-dimensional space, where n is the size of the tuple.
|
|
* A range of tuples specifies some subset of this space.
|
|
*
|
|
* Hyperrectangles will be the subrange of an n-dimensional space that is a direct product of one-dimensional ranges.
|
|
* In this case, the one-dimensional range can be:
|
|
* a point, a segment, an open interval, a half-open interval;
|
|
* unlimited on the left, unlimited on the right ...
|
|
*
|
|
* The range of tuples can always be represented as a combination (union) of hyperrectangles.
|
|
* For example, the range [ x1 y1 .. x2 y2 ] given x1 != x2 is equal to the union of the following three hyperrectangles:
|
|
* [x1] x [y1 .. +inf)
|
|
* (x1 .. x2) x (-inf .. +inf)
|
|
* [x2] x (-inf .. y2]
|
|
*
|
|
* Or, for example, the range [ x1 y1 .. +inf ] is equal to the union of the following two hyperrectangles:
|
|
* [x1] x [y1 .. +inf)
|
|
* (x1 .. +inf) x (-inf .. +inf)
|
|
* It's easy to see that this is a special case of the variant above.
|
|
*
|
|
* This is important because it is easy for us to check the feasibility of the condition over the hyperrectangle,
|
|
* and therefore, feasibility of condition on the range of tuples will be checked by feasibility of condition
|
|
* over at least one hyperrectangle from which this range consists.
|
|
*/
|
|
|
|
template <typename F>
|
|
static BoolMask forAnyHyperrectangle(
|
|
size_t key_size,
|
|
const FieldRef * left_keys,
|
|
const FieldRef * right_keys,
|
|
bool left_bounded,
|
|
bool right_bounded,
|
|
std::vector<Range> & hyperrectangle,
|
|
size_t prefix_size,
|
|
BoolMask initial_mask,
|
|
F && callback)
|
|
{
|
|
if (!left_bounded && !right_bounded)
|
|
return callback(hyperrectangle);
|
|
|
|
if (left_bounded && right_bounded)
|
|
{
|
|
/// Let's go through the matching elements of the key.
|
|
while (prefix_size < key_size)
|
|
{
|
|
if (left_keys[prefix_size] == right_keys[prefix_size])
|
|
{
|
|
/// Point ranges.
|
|
hyperrectangle[prefix_size] = Range(left_keys[prefix_size]);
|
|
++prefix_size;
|
|
}
|
|
else
|
|
break;
|
|
}
|
|
}
|
|
|
|
if (prefix_size == key_size)
|
|
return callback(hyperrectangle);
|
|
|
|
if (prefix_size + 1 == key_size)
|
|
{
|
|
if (left_bounded && right_bounded)
|
|
hyperrectangle[prefix_size] = Range(left_keys[prefix_size], true, right_keys[prefix_size], true);
|
|
else if (left_bounded)
|
|
hyperrectangle[prefix_size] = Range::createLeftBounded(left_keys[prefix_size], true);
|
|
else if (right_bounded)
|
|
hyperrectangle[prefix_size] = Range::createRightBounded(right_keys[prefix_size], true);
|
|
|
|
return callback(hyperrectangle);
|
|
}
|
|
|
|
/// (x1 .. x2) x (-inf .. +inf)
|
|
|
|
if (left_bounded && right_bounded)
|
|
hyperrectangle[prefix_size] = Range(left_keys[prefix_size], false, right_keys[prefix_size], false);
|
|
else if (left_bounded)
|
|
hyperrectangle[prefix_size] = Range::createLeftBounded(left_keys[prefix_size], false);
|
|
else if (right_bounded)
|
|
hyperrectangle[prefix_size] = Range::createRightBounded(right_keys[prefix_size], false);
|
|
|
|
for (size_t i = prefix_size + 1; i < key_size; ++i)
|
|
hyperrectangle[i] = Range();
|
|
|
|
|
|
BoolMask result = initial_mask;
|
|
result = result | callback(hyperrectangle);
|
|
|
|
/// There are several early-exit conditions (like the one below) hereinafter.
|
|
/// They are important; in particular, if initial_mask == BoolMask::consider_only_can_be_true
|
|
/// (which happens when this routine is called from KeyCondition::mayBeTrueXXX),
|
|
/// they provide significant speedup, which may be observed on merge_tree_huge_pk performance test.
|
|
if (result.isComplete())
|
|
return result;
|
|
|
|
/// [x1] x [y1 .. +inf)
|
|
|
|
if (left_bounded)
|
|
{
|
|
hyperrectangle[prefix_size] = Range(left_keys[prefix_size]);
|
|
result = result | forAnyHyperrectangle(key_size, left_keys, right_keys, true, false, hyperrectangle, prefix_size + 1, initial_mask, callback);
|
|
if (result.isComplete())
|
|
return result;
|
|
}
|
|
|
|
/// [x2] x (-inf .. y2]
|
|
|
|
if (right_bounded)
|
|
{
|
|
hyperrectangle[prefix_size] = Range(right_keys[prefix_size]);
|
|
result = result | forAnyHyperrectangle(key_size, left_keys, right_keys, false, true, hyperrectangle, prefix_size + 1, initial_mask, callback);
|
|
if (result.isComplete())
|
|
return result;
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
|
|
BoolMask KeyCondition::checkInRange(
|
|
size_t used_key_size,
|
|
const FieldRef * left_keys,
|
|
const FieldRef * right_keys,
|
|
const DataTypes & data_types,
|
|
BoolMask initial_mask) const
|
|
{
|
|
std::vector<Range> key_ranges(used_key_size, Range());
|
|
|
|
// std::cerr << "Checking for: [";
|
|
// for (size_t i = 0; i != used_key_size; ++i)
|
|
// std::cerr << (i != 0 ? ", " : "") << applyVisitor(FieldVisitorToString(), left_keys[i]);
|
|
// std::cerr << " ... ";
|
|
|
|
// for (size_t i = 0; i != used_key_size; ++i)
|
|
// std::cerr << (i != 0 ? ", " : "") << applyVisitor(FieldVisitorToString(), right_keys[i]);
|
|
// std::cerr << "]\n";
|
|
|
|
return forAnyHyperrectangle(used_key_size, left_keys, right_keys, true, true, key_ranges, 0, initial_mask,
|
|
[&] (const std::vector<Range> & key_ranges_hyperrectangle)
|
|
{
|
|
auto res = checkInHyperrectangle(key_ranges_hyperrectangle, data_types);
|
|
|
|
// std::cerr << "Hyperrectangle: ";
|
|
// for (size_t i = 0, size = key_ranges.size(); i != size; ++i)
|
|
// std::cerr << (i != 0 ? " x " : "") << key_ranges[i].toString();
|
|
// std::cerr << ": " << res.can_be_true << "\n";
|
|
|
|
return res;
|
|
});
|
|
}
|
|
|
|
std::optional<Range> KeyCondition::applyMonotonicFunctionsChainToRange(
|
|
Range key_range,
|
|
const MonotonicFunctionsChain & functions,
|
|
DataTypePtr current_type,
|
|
bool single_point)
|
|
{
|
|
for (const auto & func : functions)
|
|
{
|
|
/// We check the monotonicity of each function on a specific range.
|
|
/// If we know the given range only contains one value, then we treat all functions as positive monotonic.
|
|
IFunction::Monotonicity monotonicity = single_point
|
|
? IFunction::Monotonicity{true}
|
|
: func->getMonotonicityForRange(*current_type.get(), key_range.left, key_range.right);
|
|
|
|
if (!monotonicity.is_monotonic)
|
|
{
|
|
return {};
|
|
}
|
|
|
|
/// If we apply function to open interval, we can get empty intervals in result.
|
|
/// E.g. for ('2020-01-03', '2020-01-20') after applying 'toYYYYMM' we will get ('202001', '202001').
|
|
/// To avoid this we make range left and right included.
|
|
/// Any function that treats NULL specially is not monotonic.
|
|
/// Thus we can safely use isNull() as an -Inf/+Inf indicator here.
|
|
if (!key_range.left.isNull())
|
|
{
|
|
key_range.left = applyFunction(func, current_type, key_range.left);
|
|
key_range.left_included = true;
|
|
}
|
|
|
|
if (!key_range.right.isNull())
|
|
{
|
|
key_range.right = applyFunction(func, current_type, key_range.right);
|
|
key_range.right_included = true;
|
|
}
|
|
|
|
current_type = func->getResultType();
|
|
|
|
if (!monotonicity.is_positive)
|
|
key_range.invert();
|
|
}
|
|
return key_range;
|
|
}
|
|
|
|
// Returns whether the condition is one continuous range of the primary key,
|
|
// where every field is matched by range or a single element set.
|
|
// This allows to use a more efficient lookup with no extra reads.
|
|
bool KeyCondition::matchesExactContinuousRange() const
|
|
{
|
|
// Not implemented yet.
|
|
if (hasMonotonicFunctionsChain())
|
|
return false;
|
|
|
|
enum Constraint
|
|
{
|
|
POINT,
|
|
RANGE,
|
|
UNKNOWN,
|
|
};
|
|
|
|
std::vector<Constraint> column_constraints(key_columns.size(), Constraint::UNKNOWN);
|
|
|
|
for (const auto & element : rpn)
|
|
{
|
|
if (element.function == RPNElement::Function::FUNCTION_AND)
|
|
{
|
|
continue;
|
|
}
|
|
|
|
if (element.function == RPNElement::Function::FUNCTION_IN_SET && element.set_index && element.set_index->size() == 1)
|
|
{
|
|
column_constraints[element.key_column] = Constraint::POINT;
|
|
continue;
|
|
}
|
|
|
|
if (element.function == RPNElement::Function::FUNCTION_IN_RANGE)
|
|
{
|
|
if (element.range.left == element.range.right)
|
|
{
|
|
column_constraints[element.key_column] = Constraint::POINT;
|
|
}
|
|
if (column_constraints[element.key_column] != Constraint::POINT)
|
|
{
|
|
column_constraints[element.key_column] = Constraint::RANGE;
|
|
}
|
|
continue;
|
|
}
|
|
|
|
if (element.function == RPNElement::Function::FUNCTION_UNKNOWN)
|
|
{
|
|
continue;
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
auto min_constraint = column_constraints[0];
|
|
|
|
if (min_constraint > Constraint::RANGE)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
for (size_t i = 1; i < key_columns.size(); ++i)
|
|
{
|
|
if (column_constraints[i] < min_constraint)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
if (column_constraints[i] == Constraint::RANGE && min_constraint == Constraint::RANGE)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
min_constraint = column_constraints[i];
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
BoolMask KeyCondition::checkInHyperrectangle(
|
|
const std::vector<Range> & hyperrectangle,
|
|
const DataTypes & data_types) const
|
|
{
|
|
std::vector<BoolMask> rpn_stack;
|
|
for (const auto & element : rpn)
|
|
{
|
|
if (element.function == RPNElement::FUNCTION_UNKNOWN)
|
|
{
|
|
rpn_stack.emplace_back(true, true);
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_NOT_IN_RANGE)
|
|
{
|
|
const Range * key_range = &hyperrectangle[element.key_column];
|
|
|
|
/// The case when the column is wrapped in a chain of possibly monotonic functions.
|
|
Range transformed_range;
|
|
if (!element.monotonic_functions_chain.empty())
|
|
{
|
|
std::optional<Range> new_range = applyMonotonicFunctionsChainToRange(
|
|
*key_range,
|
|
element.monotonic_functions_chain,
|
|
data_types[element.key_column],
|
|
single_point
|
|
);
|
|
|
|
if (!new_range)
|
|
{
|
|
rpn_stack.emplace_back(true, true);
|
|
continue;
|
|
}
|
|
transformed_range = *new_range;
|
|
key_range = &transformed_range;
|
|
}
|
|
|
|
bool intersects = element.range.intersectsRange(*key_range);
|
|
bool contains = element.range.containsRange(*key_range);
|
|
|
|
rpn_stack.emplace_back(intersects, !contains);
|
|
if (element.function == RPNElement::FUNCTION_NOT_IN_RANGE)
|
|
rpn_stack.back() = !rpn_stack.back();
|
|
}
|
|
else if (
|
|
element.function == RPNElement::FUNCTION_IS_NULL
|
|
|| element.function == RPNElement::FUNCTION_IS_NOT_NULL)
|
|
{
|
|
const Range * key_range = &hyperrectangle[element.key_column];
|
|
|
|
/// No need to apply monotonic functions as nulls are kept.
|
|
bool intersects = element.range.intersectsRange(*key_range);
|
|
bool contains = element.range.containsRange(*key_range);
|
|
|
|
rpn_stack.emplace_back(intersects, !contains);
|
|
if (element.function == RPNElement::FUNCTION_IS_NULL)
|
|
rpn_stack.back() = !rpn_stack.back();
|
|
}
|
|
else if (
|
|
element.function == RPNElement::FUNCTION_IN_SET
|
|
|| element.function == RPNElement::FUNCTION_NOT_IN_SET)
|
|
{
|
|
if (!element.set_index)
|
|
throw Exception("Set for IN is not created yet", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
rpn_stack.emplace_back(element.set_index->checkInRange(hyperrectangle, data_types));
|
|
if (element.function == RPNElement::FUNCTION_NOT_IN_SET)
|
|
rpn_stack.back() = !rpn_stack.back();
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_NOT)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
|
|
rpn_stack.back() = !rpn_stack.back();
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_AND)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
|
|
auto arg1 = rpn_stack.back();
|
|
rpn_stack.pop_back();
|
|
auto arg2 = rpn_stack.back();
|
|
rpn_stack.back() = arg1 & arg2;
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_OR)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
|
|
auto arg1 = rpn_stack.back();
|
|
rpn_stack.pop_back();
|
|
auto arg2 = rpn_stack.back();
|
|
rpn_stack.back() = arg1 | arg2;
|
|
}
|
|
else if (element.function == RPNElement::ALWAYS_FALSE)
|
|
{
|
|
rpn_stack.emplace_back(false, true);
|
|
}
|
|
else if (element.function == RPNElement::ALWAYS_TRUE)
|
|
{
|
|
rpn_stack.emplace_back(true, false);
|
|
}
|
|
else
|
|
throw Exception("Unexpected function type in KeyCondition::RPNElement", ErrorCodes::LOGICAL_ERROR);
|
|
}
|
|
|
|
if (rpn_stack.size() != 1)
|
|
throw Exception("Unexpected stack size in KeyCondition::checkInRange", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
return rpn_stack[0];
|
|
}
|
|
|
|
|
|
bool KeyCondition::mayBeTrueInRange(
|
|
size_t used_key_size,
|
|
const FieldRef * left_keys,
|
|
const FieldRef * right_keys,
|
|
const DataTypes & data_types) const
|
|
{
|
|
return checkInRange(used_key_size, left_keys, right_keys, data_types, BoolMask::consider_only_can_be_true).can_be_true;
|
|
}
|
|
|
|
String KeyCondition::RPNElement::toString() const { return toString("column " + std::to_string(key_column), false); }
|
|
String KeyCondition::RPNElement::toString(const std::string_view & column_name, bool print_constants) const
|
|
{
|
|
auto print_wrapped_column = [this, &column_name, print_constants](WriteBuffer & buf)
|
|
{
|
|
for (auto it = monotonic_functions_chain.rbegin(); it != monotonic_functions_chain.rend(); ++it)
|
|
{
|
|
buf << (*it)->getName() << "(";
|
|
if (print_constants)
|
|
{
|
|
if (const auto * func = typeid_cast<const FunctionWithOptionalConstArg *>(it->get()))
|
|
{
|
|
if (func->getKind() == FunctionWithOptionalConstArg::Kind::LEFT_CONST)
|
|
buf << applyVisitor(FieldVisitorToString(), (*func->getConstArg().column)[0]) << ", ";
|
|
}
|
|
}
|
|
}
|
|
|
|
buf << column_name;
|
|
|
|
for (auto it = monotonic_functions_chain.rbegin(); it != monotonic_functions_chain.rend(); ++it)
|
|
{
|
|
if (print_constants)
|
|
{
|
|
if (const auto * func = typeid_cast<const FunctionWithOptionalConstArg *>(it->get()))
|
|
{
|
|
if (func->getKind() == FunctionWithOptionalConstArg::Kind::RIGHT_CONST)
|
|
buf << ", " << applyVisitor(FieldVisitorToString(), (*func->getConstArg().column)[0]);
|
|
}
|
|
}
|
|
buf << ")";
|
|
}
|
|
};
|
|
|
|
WriteBufferFromOwnString buf;
|
|
switch (function)
|
|
{
|
|
case FUNCTION_AND:
|
|
return "and";
|
|
case FUNCTION_OR:
|
|
return "or";
|
|
case FUNCTION_NOT:
|
|
return "not";
|
|
case FUNCTION_UNKNOWN:
|
|
return "unknown";
|
|
case FUNCTION_NOT_IN_SET:
|
|
case FUNCTION_IN_SET:
|
|
{
|
|
buf << "(";
|
|
print_wrapped_column(buf);
|
|
buf << (function == FUNCTION_IN_SET ? " in " : " notIn ");
|
|
if (!set_index)
|
|
buf << "unknown size set";
|
|
else
|
|
buf << set_index->size() << "-element set";
|
|
buf << ")";
|
|
return buf.str();
|
|
}
|
|
case FUNCTION_IN_RANGE:
|
|
case FUNCTION_NOT_IN_RANGE:
|
|
{
|
|
buf << "(";
|
|
print_wrapped_column(buf);
|
|
buf << (function == FUNCTION_NOT_IN_RANGE ? " not" : "") << " in " << range.toString();
|
|
buf << ")";
|
|
return buf.str();
|
|
}
|
|
case FUNCTION_IS_NULL:
|
|
case FUNCTION_IS_NOT_NULL:
|
|
{
|
|
buf << "(";
|
|
print_wrapped_column(buf);
|
|
buf << (function == FUNCTION_IS_NULL ? " isNull" : " isNotNull");
|
|
buf << ")";
|
|
return buf.str();
|
|
}
|
|
case ALWAYS_FALSE:
|
|
return "false";
|
|
case ALWAYS_TRUE:
|
|
return "true";
|
|
}
|
|
|
|
__builtin_unreachable();
|
|
}
|
|
|
|
|
|
bool KeyCondition::alwaysUnknownOrTrue() const
|
|
{
|
|
return unknownOrAlwaysTrue(false);
|
|
}
|
|
bool KeyCondition::anyUnknownOrAlwaysTrue() const
|
|
{
|
|
return unknownOrAlwaysTrue(true);
|
|
}
|
|
bool KeyCondition::unknownOrAlwaysTrue(bool unknown_any) const
|
|
{
|
|
std::vector<UInt8> rpn_stack;
|
|
|
|
for (const auto & element : rpn)
|
|
{
|
|
if (element.function == RPNElement::FUNCTION_UNKNOWN)
|
|
{
|
|
/// If unknown_any is true, return instantly,
|
|
/// to avoid processing it with FUNCTION_AND, and change the outcome.
|
|
if (unknown_any)
|
|
return true;
|
|
/// Otherwise, it may be AND'ed via FUNCTION_AND
|
|
rpn_stack.push_back(true);
|
|
}
|
|
else if (element.function == RPNElement::ALWAYS_TRUE)
|
|
{
|
|
rpn_stack.push_back(true);
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_NOT_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_IN_SET
|
|
|| element.function == RPNElement::FUNCTION_NOT_IN_SET
|
|
|| element.function == RPNElement::FUNCTION_IS_NULL
|
|
|| element.function == RPNElement::FUNCTION_IS_NOT_NULL
|
|
|| element.function == RPNElement::ALWAYS_FALSE)
|
|
{
|
|
rpn_stack.push_back(false);
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_NOT)
|
|
{
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_AND)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
|
|
auto arg1 = rpn_stack.back();
|
|
rpn_stack.pop_back();
|
|
auto arg2 = rpn_stack.back();
|
|
rpn_stack.back() = arg1 & arg2;
|
|
}
|
|
else if (element.function == RPNElement::FUNCTION_OR)
|
|
{
|
|
assert(!rpn_stack.empty());
|
|
|
|
auto arg1 = rpn_stack.back();
|
|
rpn_stack.pop_back();
|
|
auto arg2 = rpn_stack.back();
|
|
rpn_stack.back() = arg1 | arg2;
|
|
}
|
|
else
|
|
throw Exception("Unexpected function type in KeyCondition::RPNElement", ErrorCodes::LOGICAL_ERROR);
|
|
}
|
|
|
|
if (rpn_stack.size() != 1)
|
|
throw Exception("Unexpected stack size in KeyCondition::unknownOrAlwaysTrue", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
return rpn_stack[0];
|
|
}
|
|
|
|
|
|
size_t KeyCondition::getMaxKeyColumn() const
|
|
{
|
|
size_t res = 0;
|
|
for (const auto & element : rpn)
|
|
{
|
|
if (element.function == RPNElement::FUNCTION_NOT_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_IN_RANGE
|
|
|| element.function == RPNElement::FUNCTION_IS_NULL
|
|
|| element.function == RPNElement::FUNCTION_IS_NOT_NULL
|
|
|| element.function == RPNElement::FUNCTION_IN_SET
|
|
|| element.function == RPNElement::FUNCTION_NOT_IN_SET)
|
|
{
|
|
if (element.key_column > res)
|
|
res = element.key_column;
|
|
}
|
|
}
|
|
return res;
|
|
}
|
|
|
|
bool KeyCondition::hasMonotonicFunctionsChain() const
|
|
{
|
|
for (const auto & element : rpn)
|
|
if (!element.monotonic_functions_chain.empty()
|
|
|| (element.set_index && element.set_index->hasMonotonicFunctionsChain()))
|
|
return true;
|
|
return false;
|
|
}
|
|
|
|
}
|