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MCOL-4809 The patch replaces legacy scanning/filtering code with a number of templates that
simplifies control flow removing needless expressions
This commit is contained in:
@ -6,8 +6,6 @@ include_directories( ${ENGINE_COMMON_INCLUDES} ../blockcache ../primproc)
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set(processor_STAT_SRCS primitiveprocessor.cpp dictionary.cpp column.cpp)
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#libprocessor_a_CXXFLAGS = $(march_flags) $(AM_CXXFLAGS)
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add_library(processor STATIC ${processor_STAT_SRCS})
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add_dependencies(processor loggingcpp)
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@ -15,10 +13,3 @@ add_dependencies(processor loggingcpp)
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target_link_libraries(processor ${NETSNMP_LIBRARIES})
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INSTALL (TARGETS processor DESTINATION ${ENGINE_LIBDIR})
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#if (WITH_PP_SCAN_UT)
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# add_executable(pp_scan_unittest pp-scan-unittest.cpp)
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# target_link_libraries(pp_scan_unittest ${ENGINE_LDFLAGS} ${MARIADB_CLIENT_LIBS} ${ENGINE_WRITE_LIBS} ${CPPUNIT_LIBRARIES} cppunit)
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# install(TARGETS pp_scan_unittest DESTINATION ${ENGINE_BINDIR} COMPONENT columnstore-engine)
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#endif()
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File diff suppressed because it is too large
Load Diff
@ -3238,7 +3238,7 @@ public:
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args->COP = COMPARE_LT;
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memcpy(args->val, &tmp, in->DataSize);
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args = reinterpret_cast<ColArgs*>(&input[sizeof(NewColRequestHeader) +
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sizeof(ColArgs) + in->DataSize]);
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sizeof(ColArgs) + in->DataSize]);
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args->COP = COMPARE_GT;
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tmp = 1000;
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memcpy(args->val, &tmp, in->DataSize);
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@ -58,10 +58,17 @@ void PrimitiveProcessor::setParsedColumnFilter(boost::shared_ptr<ParsedColumnFil
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parsedColumnFilter = pcf;
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}
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ParsedColumnFilter::ParsedColumnFilter() : columnFilterMode(STANDARD)
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ParsedColumnFilter::ParsedColumnFilter() : columnFilterMode(ALWAYS_TRUE), mFilterCount(0)
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{
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}
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ParsedColumnFilter::ParsedColumnFilter(const uint32_t aFilterCount)
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: columnFilterMode(ALWAYS_TRUE), mFilterCount(aFilterCount)
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{
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prestored_rfs.reset(new uint8_t[mFilterCount]);
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prestored_cops.reset(new uint8_t[mFilterCount]);
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}
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ParsedColumnFilter::~ParsedColumnFilter()
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{
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}
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@ -1,4 +1,5 @@
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/* Copyright (C) 2014 InfiniDB, Inc.
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Copyright (C) 2016-2021 MariaDB Corporation
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License
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@ -59,11 +60,18 @@ namespace primitives
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enum ColumnFilterMode
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{
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STANDARD,
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TWO_ARRAYS,
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UNORDERED_SET
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ALWAYS_TRUE, // empty filter is always true
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SINGLE_COMPARISON, // exactly one comparison operation
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ANY_COMPARISON_TRUE, // ANY comparison is true (BOP_OR)
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ALL_COMPARISONS_TRUE, // ALL comparisons are true (BOP_AND)
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XOR_COMPARISONS, // XORing results of comparisons (BOP_XOR)
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ONE_OF_VALUES_IN_SET, // ONE of the values in the set is equal to the value checked (BOP_OR + all COMPARE_EQ)
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NONE_OF_VALUES_IN_SET, // NONE of the values in the set is equal to the value checked (BOP_AND + all COMPARE_NE)
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ONE_OF_VALUES_IN_ARRAY, // ONE of the values in the small set represented by an array (BOP_OR + all COMPARE_EQ)
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NONE_OF_VALUES_IN_ARRAY,// NONE of the values in the small set represented by an array (BOP_AND + all COMPARE_NE)
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};
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// TBD Test if avalance makes lookup in the hash maps based on this hashers faster.
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class pcfHasher
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{
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public:
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@ -100,6 +108,7 @@ public:
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}
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};
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// TBD Test robinhood as tr1 set replacement.
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typedef std::tr1::unordered_set<int64_t, pcfHasher, pcfEqual> prestored_set_t;
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typedef std::tr1::unordered_set<int128_t, pcfHasher128, pcfEqual128> prestored_set_t_128;
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@ -124,9 +133,39 @@ public:
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}
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};
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struct ParsedColumnFilter
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// Not the safest way b/c it doesn't cover uint128_t but the type
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// isn't used now and the approach saves some space.
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template <typename T, typename D = void>
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struct IntegralTypeToFilterType
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{
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using type = int64_t;
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};
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template<>
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struct IntegralTypeToFilterType<int128_t>
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{
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using type = int128_t;
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};
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template <typename T, typename D = void>
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struct IntegralTypeToFilterSetType
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{
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using type = prestored_set_t;
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};
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template<>
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struct IntegralTypeToFilterSetType<int128_t>
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{
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using type = prestored_set_t_128;
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};
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// DRRTuy shared_arrays and shared_ptr looks redundant here
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// given that the higher level code uses shared_ptr<ParsedColumnFilter>
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// thus runtime calls ParsedColumnFilter dtor in the end.
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class ParsedColumnFilter
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{
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public:
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static constexpr uint32_t noSetFilterThreshold = 8;
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ColumnFilterMode columnFilterMode;
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boost::shared_array<int64_t> prestored_argVals;
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boost::shared_array<int128_t> prestored_argVals128;
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@ -136,7 +175,92 @@ struct ParsedColumnFilter
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boost::shared_ptr<prestored_set_t_128> prestored_set_128;
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ParsedColumnFilter();
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ParsedColumnFilter(const uint32_t aFilterCount);
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~ParsedColumnFilter();
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template<typename T,
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typename std::enable_if<std::is_same<T, int64_t>::value, T>::type* = nullptr>
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T* getFilterVals()
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{
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return prestored_argVals.get();
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}
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template<typename T,
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typename std::enable_if<std::is_same<T, int128_t>::value, T>::type* = nullptr>
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T* getFilterVals()
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{
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return prestored_argVals128.get();
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}
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template<typename T,
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typename std::enable_if<std::is_same<T, prestored_set_t>::value, T>::type* = nullptr>
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T* getFilterSet()
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{
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return prestored_set.get();
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}
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template<typename T,
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typename std::enable_if<std::is_same<T, prestored_set_t_128>::value, T>::type* = nullptr>
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T* getFilterSet()
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{
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return prestored_set_128.get();
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}
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template<typename T,
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typename std::enable_if<sizeof(T) <= sizeof(int64_t), T>::type* = nullptr>
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void storeFilterArg(const uint32_t argIndex, const T* argValPtr)
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{
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prestored_argVals[argIndex] = *argValPtr;
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}
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template<typename WT,
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typename std::enable_if<sizeof(WT) == sizeof(int128_t), WT>::type* = nullptr>
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void storeFilterArg(const uint32_t argIndex, const WT* argValPtr)
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{
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datatypes::TSInt128::assignPtrPtr(&(prestored_argVals128[argIndex]),
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argValPtr);
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}
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template<typename T,
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typename std::enable_if<sizeof(T) <= sizeof(int64_t), T>::type* = nullptr>
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void allocateSpaceForFilterArgs()
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{
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prestored_argVals.reset(new int64_t[mFilterCount]);
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}
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template<typename WT,
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typename std::enable_if<sizeof(WT) == sizeof(int128_t), WT>::type* = nullptr>
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void allocateSpaceForFilterArgs()
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{
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prestored_argVals128.reset(new int128_t[mFilterCount]);
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}
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template<typename WT,
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typename std::enable_if<sizeof(WT) == sizeof(int128_t), WT>::type* = nullptr>
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void populatePrestoredSet()
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{
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prestored_set_128.reset(new prestored_set_t_128());
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// @bug 2584, use COMPARE_NIL for "= null" to allow "is null" in OR expression
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for (uint32_t argIndex = 0; argIndex < mFilterCount; ++argIndex)
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if (prestored_rfs[argIndex] == 0)
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prestored_set_128->insert(prestored_argVals128[argIndex]);
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}
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template<typename T,
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typename std::enable_if<sizeof(T) <= sizeof(int64_t), T>::type* = nullptr>
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void populatePrestoredSet()
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{
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prestored_set.reset(new prestored_set_t());
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// @bug 2584, use COMPARE_NIL for "= null" to allow "is null" in OR expression
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for (uint32_t argIndex = 0; argIndex < mFilterCount; argIndex++)
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if (prestored_rfs[argIndex] == 0)
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prestored_set->insert(prestored_argVals[argIndex]);
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}
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private:
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uint32_t mFilterCount;
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};
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//@bug 1828 These need to be public so that column operations can use it for 'like'
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@ -146,9 +270,6 @@ struct p_DataValue
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const uint8_t* data;
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};
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boost::shared_ptr<ParsedColumnFilter> parseColumnFilter(const uint8_t* filterString,
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uint32_t colWidth, uint32_t colType, uint32_t filterCount, uint32_t BOP);
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/** @brief This class encapsulates the primitive processing functionality of the system.
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*
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* This class encapsulates the primitive processing functionality of the system.
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@ -258,7 +379,7 @@ public:
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* a NewColResultHeader, followed by the output type specified by in->OutputType.
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* \li If OT_RID, it will be an array of RIDs
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* \li If OT_DATAVALUE, it will be an array of matching data values stored in the column
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* \li If OT_BOTH, it will be an array of <DataValue, RID> pairs
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* \li If OT_BOTH, it will be an array of <RID, DataValue> pairs
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* @param outSize The size of the output buffer in bytes.
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* @param written (out parameter) A pointer to 1 int, which will contain the
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* number of bytes written to out.
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@ -267,8 +388,41 @@ public:
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void p_Col(NewColRequestHeader* in, NewColResultHeader* out, unsigned outSize,
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unsigned* written);
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template<typename T,
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typename std::enable_if<sizeof(T) == sizeof(int8_t) ||
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sizeof(T) == sizeof(int16_t) ||
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sizeof(T) == sizeof(int128_t), T>::type* = nullptr>
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void scanAndFilterTypeDispatcher(NewColRequestHeader* in, NewColResultHeader* out,
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unsigned outSize, unsigned* written);
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template<typename T,
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typename std::enable_if<sizeof(T) == sizeof(int32_t), T>::type* = nullptr>
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void scanAndFilterTypeDispatcher(NewColRequestHeader* in, NewColResultHeader* out,
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unsigned outSize, unsigned* written);
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template<typename T,
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typename std::enable_if<sizeof(T) == sizeof(int64_t), T>::type* = nullptr>
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void scanAndFilterTypeDispatcher(NewColRequestHeader* in, NewColResultHeader* out,
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unsigned outSize, unsigned* written);
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template<typename T,
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typename std::enable_if<sizeof(T) <= sizeof(int64_t), T>::type* = nullptr>
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void _scanAndFilterTypeDispatcher(NewColRequestHeader* in, NewColResultHeader* out,
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unsigned outSize, unsigned* written);
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template<typename T,
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typename std::enable_if<sizeof(T) == sizeof(int128_t), T>::type* = nullptr>
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void _scanAndFilterTypeDispatcher(NewColRequestHeader* in, NewColResultHeader* out,
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unsigned outSize, unsigned* written);
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template<typename T>
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void columnScanAndFilter(NewColRequestHeader* in, NewColResultHeader* out,
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unsigned outSize, unsigned* written);
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boost::shared_ptr<ParsedColumnFilter> parseColumnFilter(const uint8_t* filterString,
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uint32_t colWidth, uint32_t colType, uint32_t filterCount, uint32_t BOP);
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uint32_t colWidth,
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uint32_t colType,
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uint32_t filterCount,
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uint32_t BOP);
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void setParsedColumnFilter(boost::shared_ptr<ParsedColumnFilter>);
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/** @brief The p_ColAggregate primitive processor.
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@ -312,9 +466,6 @@ private:
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void nextSig(int NVALS, const PrimToken* tokens, p_DataValue* ret,
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uint8_t outputFlags = 0, bool oldGetSigBehavior = false, bool skipNulls = false) throw();
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// void do_sum8(NewColAggResultHeader *out, int64_t val);
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// void do_unsignedsum8(NewColAggResultHeader *out, int64_t val);
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uint64_t masks[11];
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int dict_OffsetIndex, currentOffsetIndex; // used by p_dictionary
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int fDebugLevel;
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@ -326,6 +477,108 @@ private:
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friend class ::PrimTest;
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};
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//
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//COMPILE A COLUMN FILTER
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//
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// Compile column filter from BLOB into structure optimized for fast filtering.
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// Return a shared_ptr for the compiled filter.
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template<typename T> // C++ integer type providing storage for colType
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boost::shared_ptr<ParsedColumnFilter> _parseColumnFilter(
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const uint8_t* filterString, // Filter represented as BLOB
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uint32_t colType, // Column datatype as ColDataType
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uint32_t filterCount, // Number of filter elements contained in filterString
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uint32_t BOP) // Operation (and/or/xor/none) that combines all filter elements
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{
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using UT = typename std::conditional<std::is_unsigned<T>::value || datatypes::is_uint128_t<T>::value, T, typename datatypes::make_unsigned<T>::type>::type;
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const uint32_t WIDTH = sizeof(T); // Sizeof of the column to be filtered
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boost::shared_ptr<ParsedColumnFilter> ret; // Place for building the value to return
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if (filterCount == 0)
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return ret;
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// Allocate the compiled filter structure with space for filterCount filters.
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// No need to init arrays since they will be filled on the fly.
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ret.reset(new ParsedColumnFilter(filterCount));
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ret->allocateSpaceForFilterArgs<T>();
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// Choose initial filter mode based on operation and number of filter elements
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if (filterCount == 1)
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ret->columnFilterMode = SINGLE_COMPARISON;
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else if (BOP == BOP_OR)
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ret->columnFilterMode = ANY_COMPARISON_TRUE;
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else if (BOP == BOP_AND)
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ret->columnFilterMode = ALL_COMPARISONS_TRUE;
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else if (BOP == BOP_XOR)
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ret->columnFilterMode = XOR_COMPARISONS;
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else
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idbassert(0); // BOP_NONE is compatible only with filterCount <= 1
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// Size of single filter element in filterString BLOB
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const uint32_t filterSize = sizeof(uint8_t) + sizeof(uint8_t) + WIDTH;
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// Parse the filter predicates and insert them into argVals and cops
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for (uint32_t argIndex = 0; argIndex < filterCount; argIndex++)
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{
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// Pointer to ColArgs structure representing argIndex'th element in the BLOB
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auto args = reinterpret_cast<const ColArgs*>(filterString + (argIndex * filterSize));
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ret->prestored_cops[argIndex] = args->COP;
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ret->prestored_rfs[argIndex] = args->rf;
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if (datatypes::isUnsigned((execplan::CalpontSystemCatalog::ColDataType)colType))
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ret->storeFilterArg(argIndex, reinterpret_cast<const UT*>(args->val));
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else
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ret->storeFilterArg(argIndex, reinterpret_cast<const T*>(args->val));
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}
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/* Decide which structure to use. I think the only cases where we can use the set
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are when NOPS > 1, BOP is OR, and every COP is ==,
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and when NOPS > 1, BOP is AND, and every COP is !=.
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If there were no predicates that violate the condition for using a set,
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insert argVals into a set.
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*/
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if (filterCount > 1)
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{
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// Check that all COPs are of right kind that depends on BOP
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for (uint32_t argIndex = 0; argIndex < filterCount; argIndex++)
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{
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auto cop = ret->prestored_cops[argIndex];
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if (! ((BOP == BOP_OR && cop == COMPARE_EQ) ||
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(BOP == BOP_AND && cop == COMPARE_NE)))
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{
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goto skipConversion;
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}
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}
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// Now we found that conversion is possible. Let's choose between array-based search
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// and set-based search depending on the set size.
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//TODO: Tailor the threshold based on the actual search algorithms used and WIDTH/SIMD_WIDTH
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if (filterCount <= ParsedColumnFilter::noSetFilterThreshold)
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{
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// Assign filter mode of array-based filtering
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if (BOP == BOP_OR)
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ret->columnFilterMode = ONE_OF_VALUES_IN_ARRAY;
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else
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ret->columnFilterMode = NONE_OF_VALUES_IN_ARRAY;
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}
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else
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{
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// Assign filter mode of set-based filtering
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if (BOP == BOP_OR)
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ret->columnFilterMode = ONE_OF_VALUES_IN_SET;
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else
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ret->columnFilterMode = NONE_OF_VALUES_IN_SET;
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ret->populatePrestoredSet<T>();
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}
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skipConversion:;
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}
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return ret;
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}
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} //namespace primitives
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#endif
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