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https://github.com/ClickHouse/ClickHouse.git
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Added reverted files and fixes for failing fuzzer tests
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parent
348e153455
commit
c37b154254
@ -20,18 +20,19 @@
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnTuple.h>
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#include <DataTypes/Serializations/SerializationDecimal.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeLowCardinality.h>
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#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypesDecimal.h>
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#include <DataTypes/DataTypeUUID.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypeEnum.h>
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#include <DataTypes/DataTypeFactory.h>
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#include <DataTypes/DataTypeFixedString.h>
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#include <DataTypes/DataTypeLowCardinality.h>
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#include <DataTypes/DataTypeNothing.h>
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#include <DataTypes/DataTypeNullable.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypeString.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypeUUID.h>
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#include <DataTypes/DataTypesDecimal.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/Serializations/SerializationDecimal.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/IFunction.h>
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@ -695,8 +696,16 @@ public:
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else
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return false;
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if (dest.getDataType() == TypeIndex::LowCardinality)
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{
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ColumnLowCardinality & col_low = assert_cast<ColumnLowCardinality &>(dest);
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col_low.insertData(reinterpret_cast<const char *>(&value), sizeof(value));
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}
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else
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{
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auto & col_vec = assert_cast<ColumnVector<NumberType> &>(dest);
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col_vec.insertValue(value);
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}
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return true;
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}
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};
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@ -773,8 +782,17 @@ public:
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return JSONExtractRawImpl<JSONParser>::insertResultToColumn(dest, element, {});
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auto str = element.getString();
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if (dest.getDataType() == TypeIndex::LowCardinality)
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{
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ColumnLowCardinality & col_low = assert_cast<ColumnLowCardinality &>(dest);
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col_low.insertData(str.data(), str.size());
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}
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else
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{
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ColumnString & col_str = assert_cast<ColumnString &>(dest);
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col_str.insertData(str.data(), str.size());
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}
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return true;
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}
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};
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@ -803,25 +821,33 @@ struct JSONExtractTree
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}
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};
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class LowCardinalityNode : public Node
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class LowCardinalityFixedStringNode : public Node
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{
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public:
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LowCardinalityNode(DataTypePtr dictionary_type_, std::unique_ptr<Node> impl_)
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: dictionary_type(dictionary_type_), impl(std::move(impl_)) {}
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explicit LowCardinalityFixedStringNode(const size_t fixed_length_) : fixed_length(fixed_length_) { }
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bool insertResultToColumn(IColumn & dest, const Element & element) override
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{
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auto from_col = dictionary_type->createColumn();
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if (impl->insertResultToColumn(*from_col, element))
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{
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std::string_view value = from_col->getDataAt(0).toView();
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assert_cast<ColumnLowCardinality &>(dest).insertData(value.data(), value.size());
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// If element is an object we delegate the insertion to JSONExtractRawImpl
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if (element.isObject())
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return JSONExtractRawImpl<JSONParser>::insertResultToLowCardinalityFixedStringColumn(dest, element, fixed_length);
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else if (!element.isString())
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return false;
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auto str = element.getString();
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if (str.size() > fixed_length)
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return false;
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// For the non low cardinality case of FixedString, the padding is done in the FixedString Column implementation.
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// In order to avoid having to pass the data to a FixedString Column and read it back (which would slow down the execution)
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// the data is padded here and written directly to the Low Cardinality Column
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auto padded_str = str.data() + std::string(fixed_length - std::min(fixed_length, str.length()), '\0');
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assert_cast<ColumnLowCardinality &>(dest).insertData(padded_str.data(), padded_str.size());
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return true;
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}
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return false;
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}
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private:
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DataTypePtr dictionary_type;
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std::unique_ptr<Node> impl;
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const size_t fixed_length;
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};
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class UUIDNode : public Node
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@ -833,7 +859,15 @@ struct JSONExtractTree
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return false;
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auto uuid = parseFromString<UUID>(element.getString());
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if (dest.getDataType() == TypeIndex::LowCardinality)
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{
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ColumnLowCardinality & col_low = assert_cast<ColumnLowCardinality &>(dest);
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col_low.insertData(reinterpret_cast<const char *>(&uuid), sizeof(uuid));
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}
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else
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{
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assert_cast<ColumnUUID &>(dest).insert(uuid);
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}
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return true;
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}
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};
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@ -853,6 +887,7 @@ struct JSONExtractTree
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assert_cast<ColumnDecimal<DecimalType> &>(dest).insert(result);
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return true;
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}
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private:
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DataTypePtr data_type;
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};
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@ -871,13 +906,18 @@ struct JSONExtractTree
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public:
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bool insertResultToColumn(IColumn & dest, const Element & element) override
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{
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if (!element.isString())
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if (element.isNull())
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return false;
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auto & col_str = assert_cast<ColumnFixedString &>(dest);
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if (!element.isString())
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return JSONExtractRawImpl<JSONParser>::insertResultToFixedStringColumn(dest, element, {});
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auto str = element.getString();
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auto & col_str = assert_cast<ColumnFixedString &>(dest);
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if (str.size() > col_str.getN())
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return false;
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col_str.insertData(str.data(), str.size());
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return true;
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}
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};
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@ -1099,9 +1139,19 @@ struct JSONExtractTree
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case TypeIndex::UUID: return std::make_unique<UUIDNode>();
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case TypeIndex::LowCardinality:
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{
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// The low cardinality case is treated in two different ways:
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// For FixedString type, an especial class is implemented for inserting the data in the destination column,
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// as the string length must be passed in order to check and pad the incoming data.
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// For the rest of low cardinality types, the insertion is done in their corresponding class, adapting the data
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// as needed for the insertData function of the ColumnLowCardinality.
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auto dictionary_type = typeid_cast<const DataTypeLowCardinality *>(type.get())->getDictionaryType();
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if ((*dictionary_type).getTypeId() == TypeIndex::FixedString)
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{
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auto fixed_length = typeid_cast<const DataTypeFixedString *>(dictionary_type.get())->getN();
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return std::make_unique<LowCardinalityFixedStringNode>(fixed_length);
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}
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auto impl = build(function_name, dictionary_type);
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return std::make_unique<LowCardinalityNode>(dictionary_type, std::move(impl));
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return impl;
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}
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case TypeIndex::Decimal256: return std::make_unique<DecimalNode<Decimal256>>(type);
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case TypeIndex::Decimal128: return std::make_unique<DecimalNode<Decimal128>>(type);
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73
tests/performance/low_cardinality_from_json.xml
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73
tests/performance/low_cardinality_from_json.xml
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@ -0,0 +1,73 @@
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<test>
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<substitutions>
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<substitution>
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<name>string_json</name>
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<values>
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<value>'{"a": "hi", "b": "hello", "c": "hola", "d": "see you, bye, bye"}'</value>
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</values>
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</substitution>
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<substitution>
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<name>int_json</name>
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<values>
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<value>'{"a": 11, "b": 2222, "c": 33333333, "d": 4444444444444444}'</value>
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</values>
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</substitution>
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<substitution>
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<name>uuid_json</name>
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<values>
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<value>'{"a": "2d49dc6e-ddce-4cd0-afb8-790956df54c4", "b": "2d49dc6e-ddce-4cd0-afb8-790956df54c3", "c": "2d49dc6e-ddce-4cd0-afb8-790956df54c1", "d": "2d49dc6e-ddce-4cd0-afb8-790956df54c1"}'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_string</name>
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<values>
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<value>'Tuple(a LowCardinality(String), b LowCardinality(String), c LowCardinality(String), d LowCardinality(String) )'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_fixed_string</name>
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<values>
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<value>'Tuple(a LowCardinality(FixedString(20)), b LowCardinality(FixedString(20)), c LowCardinality(FixedString(20)), d LowCardinality(FixedString(20)) )'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_int8</name>
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<values>
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<value>'Tuple(a LowCardinality(Int8), b LowCardinality(Int8), c LowCardinality(Int8), d LowCardinality(Int8) )'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_int16</name>
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<values>
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<value>'Tuple(a LowCardinality(Int16), b LowCardinality(Int16), c LowCardinality(Int16), d LowCardinality(Int16) )'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_int32</name>
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<values>
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<value>'Tuple(a LowCardinality(Int32), b LowCardinality(Int32), c LowCardinality(Int32), d LowCardinality(Int32) )'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_int64</name>
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<values>
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<value>'Tuple(a LowCardinality(Int64), b LowCardinality(Int64), c LowCardinality(Int64), d LowCardinality(Int64) )'</value>
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</values>
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</substitution>
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<substitution>
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<name>low_cardinality_tuple_uuid</name>
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<values>
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<value>'Tuple(a LowCardinality(UUID), b LowCardinality(UUID), c LowCardinality(UUID), d LowCardinality(UUID) )'</value>
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</values>
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</substitution>
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</substitutions>
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<query>SELECT 'fixed_string_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({string_json}), {low_cardinality_tuple_fixed_string})) FORMAT Null </query>
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<query>SELECT 'string_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({string_json}), {low_cardinality_tuple_string})) FORMAT Null </query>
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<query>SELECT 'int8_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({int_json}), {low_cardinality_tuple_int8})) FORMAT Null </query>
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<query>SELECT 'int16_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({int_json}), {low_cardinality_tuple_int16})) FORMAT Null </query>
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<query>SELECT 'int32_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({int_json}), {low_cardinality_tuple_int32})) FORMAT Null </query>
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<query>SELECT 'int64_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({int_json}), {low_cardinality_tuple_int64})) FORMAT Null </query>
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<query>SELECT 'uuid_json' FROM zeros(500000) WHERE NOT ignore(JSONExtract(materialize({uuid_json}), {low_cardinality_tuple_uuid})) FORMAT Null </query>
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</test>
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@ -0,0 +1,7 @@
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('hi','hello','hola','see you, bye, bye')
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('hi\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0','hello\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0','hola\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0','see you, bye, bye\0\0\0')
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(11,0,0,0)
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(11,2222,0,0)
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(11,2222,33333333,0)
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(11,2222,33333333,4444444444444444)
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('2d49dc6e-ddce-4cd0-afb8-790956df54c4','2d49dc6e-ddce-4cd0-afb8-790956df54c3','2d49dc6e-ddce-4cd0-afb8-790956df54c1','2d49dc6e-ddce-4cd0-afb8-790956df54c1')
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54
tests/queries/0_stateless/02452_check_low_cardinality.sql
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54
tests/queries/0_stateless/02452_check_low_cardinality.sql
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@ -0,0 +1,54 @@
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DROP TABLE IF EXISTS test_low_cardinality_string;
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DROP TABLE IF EXISTS test_low_cardinality_uuid;
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DROP TABLE IF EXISTS test_low_cardinality_int;
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CREATE TABLE test_low_cardinality_string (data String) ENGINE MergeTree ORDER BY data;
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CREATE TABLE test_low_cardinality_uuid (data String) ENGINE MergeTree ORDER BY data;
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CREATE TABLE test_low_cardinality_int (data String) ENGINE MergeTree ORDER BY data;
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INSERT INTO test_low_cardinality_string (data) VALUES ('{"a": "hi", "b": "hello", "c": "hola", "d": "see you, bye, bye"}');
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INSERT INTO test_low_cardinality_int (data) VALUES ('{"a": 11, "b": 2222, "c": 33333333, "d": 4444444444444444}');
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INSERT INTO test_low_cardinality_uuid (data) VALUES ('{"a": "2d49dc6e-ddce-4cd0-afb8-790956df54c4", "b": "2d49dc6e-ddce-4cd0-afb8-790956df54c3", "c": "2d49dc6e-ddce-4cd0-afb8-790956df54c1", "d": "2d49dc6e-ddce-4cd0-afb8-790956df54c1"}');
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(String),
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b LowCardinality(String),
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c LowCardinality(String),
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d LowCardinality(String)
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)') AS json FROM test_low_cardinality_string;
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(FixedString(20)),
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b LowCardinality(FixedString(20)),
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c LowCardinality(FixedString(20)),
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d LowCardinality(FixedString(20))
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)') AS json FROM test_low_cardinality_string;
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(Int8),
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b LowCardinality(Int8),
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c LowCardinality(Int8),
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d LowCardinality(Int8)
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)') AS json FROM test_low_cardinality_int;
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(Int16),
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b LowCardinality(Int16),
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c LowCardinality(Int16),
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d LowCardinality(Int16)
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)') AS json FROM test_low_cardinality_int;
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(Int32),
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b LowCardinality(Int32),
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c LowCardinality(Int32),
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d LowCardinality(Int32)
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)') AS json FROM test_low_cardinality_int;
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(Int64),
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b LowCardinality(Int64),
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c LowCardinality(Int64),
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d LowCardinality(Int64)
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)') AS json FROM test_low_cardinality_int;
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SELECT JSONExtract(data, 'Tuple(
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a LowCardinality(UUID),
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b LowCardinality(UUID),
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c LowCardinality(UUID),
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d LowCardinality(UUID)
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)') AS json FROM test_low_cardinality_uuid;
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DROP TABLE test_low_cardinality_string;
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DROP TABLE test_low_cardinality_uuid;
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DROP TABLE test_low_cardinality_int;
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@ -0,0 +1 @@
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('{"b":{"c":1,"d":"str"}}\0')
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@ -0,0 +1,6 @@
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-- Tags: no-fasttest
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DROP TABLE IF EXISTS test_fixed_string_nested_json;
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CREATE TABLE test_fixed_string_nested_json (data String) ENGINE MergeTree ORDER BY data;
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INSERT INTO test_fixed_string_nested_json (data) VALUES ('{"a" : {"b" : {"c" : 1, "d" : "str"}}}');
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SELECT JSONExtract(data, 'Tuple(a FixedString(24))') AS json FROM test_fixed_string_nested_json;
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DROP TABLE test_fixed_string_nested_json;
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