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Cosmetics II
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@ -1005,7 +1005,7 @@ They can be used for prewhere optimization only if we enable `set allow_statisti
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## Column-level Settings {#column-level-settings}
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## Column-level Settings {#column-level-settings}
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Certain MergeTree settings can be override at column level:
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Certain MergeTree settings can be overridden at column level:
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- `max_compress_block_size` — Maximum size of blocks of uncompressed data before compressing for writing to a table.
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- `max_compress_block_size` — Maximum size of blocks of uncompressed data before compressing for writing to a table.
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- `min_compress_block_size` — Minimum size of blocks of uncompressed data required for compression when writing the next mark.
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- `min_compress_block_size` — Minimum size of blocks of uncompressed data required for compression when writing the next mark.
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@ -89,15 +89,17 @@ Float64 IStatistics::estimateLess(const Field & /*val*/) const
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throw Exception(ErrorCodes::LOGICAL_ERROR, "Less-than estimation is not implemented for this type of statistics");
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throw Exception(ErrorCodes::LOGICAL_ERROR, "Less-than estimation is not implemented for this type of statistics");
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}
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}
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/// -------------------------------------
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/// Notes:
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/// Implementation of the estimation:
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/// - Statistics object usually only support estimation for certain types of predicates, e.g.
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/// Note: Each statistics object supports certain types predicates natively, e.g.
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/// - TDigest: '< X' (less-than predicates)
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/// - TDigest: '< X' (less-than predicates)
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/// - Count-min sketches: '= X' (equal predicates)
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/// - Count-min sketches: '= X' (equal predicates)
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/// - Uniq (HyperLogLog): 'count distinct(*)' (column cardinality)
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/// - Uniq (HyperLogLog): 'count distinct(*)' (column cardinality)
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///
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/// If multiple statistics objects are available per column, it is sometimes also possible to combine them in a clever way.
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/// If multiple statistics objects in a column support estimating a predicate, we want to try statistics in order of descending accuracy
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/// For that reason, all estimation are performed in a central place (here), and we don't simply pass the predicate to the first statistics
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/// (e.g. MinMax statistics are simpler than TDigest statistics and thus worse for estimating 'less' predicates).
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/// object that supports it natively.
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///
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/// Sometimes, it is possible to combine multiple statistics in a clever way. For that reason, all estimation are performed in a central
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/// place (here), and we don't simply pass the predicate to the first statistics object that supports it natively.
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Float64 ColumnStatistics::estimateLess(const Field & val) const
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Float64 ColumnStatistics::estimateLess(const Field & val) const
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{
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{
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@ -25,8 +25,8 @@ extern const int ILLEGAL_STATISTICS;
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static constexpr auto num_hashes = 7uz;
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static constexpr auto num_hashes = 7uz;
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static constexpr auto num_buckets = 2718uz;
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static constexpr auto num_buckets = 2718uz;
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StatisticsCountMinSketch::StatisticsCountMinSketch(const SingleStatisticsDescription & stat_, DataTypePtr data_type_)
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StatisticsCountMinSketch::StatisticsCountMinSketch(const SingleStatisticsDescription & description, DataTypePtr data_type_)
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: IStatistics(stat_)
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: IStatistics(description)
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, sketch(num_hashes, num_buckets)
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, sketch(num_hashes, num_buckets)
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, data_type(data_type_)
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, data_type(data_type_)
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{
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{
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@ -84,7 +84,7 @@ void StatisticsCountMinSketch::deserialize(ReadBuffer & buf)
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}
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}
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void countMinSketchStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr data_type)
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void countMinSketchStatisticsValidator(const SingleStatisticsDescription & /*description*/, DataTypePtr data_type)
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{
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{
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data_type = removeNullable(data_type);
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data_type = removeNullable(data_type);
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data_type = removeLowCardinalityAndNullable(data_type);
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data_type = removeLowCardinalityAndNullable(data_type);
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@ -92,9 +92,9 @@ void countMinSketchStatisticsValidator(const SingleStatisticsDescription &, Data
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throw Exception(ErrorCodes::ILLEGAL_STATISTICS, "Statistics of type 'count_min' does not support type {}", data_type->getName());
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throw Exception(ErrorCodes::ILLEGAL_STATISTICS, "Statistics of type 'count_min' does not support type {}", data_type->getName());
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}
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}
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StatisticsPtr countMinSketchStatisticsCreator(const SingleStatisticsDescription & stat, DataTypePtr data_type)
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StatisticsPtr countMinSketchStatisticsCreator(const SingleStatisticsDescription & description, DataTypePtr data_type)
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{
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{
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return std::make_shared<StatisticsCountMinSketch>(stat, data_type);
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return std::make_shared<StatisticsCountMinSketch>(description, data_type);
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}
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}
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}
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}
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@ -14,7 +14,7 @@ namespace DB
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class StatisticsCountMinSketch : public IStatistics
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class StatisticsCountMinSketch : public IStatistics
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{
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{
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public:
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public:
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StatisticsCountMinSketch(const SingleStatisticsDescription & stat_, DataTypePtr data_type_);
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StatisticsCountMinSketch(const SingleStatisticsDescription & description, DataTypePtr data_type_);
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Float64 estimateEqual(const Field & val) const override;
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Float64 estimateEqual(const Field & val) const override;
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@ -31,8 +31,8 @@ private:
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};
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};
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void countMinSketchStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr data_type);
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void countMinSketchStatisticsValidator(const SingleStatisticsDescription & description, DataTypePtr data_type);
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StatisticsPtr countMinSketchStatisticsCreator(const SingleStatisticsDescription & stat, DataTypePtr);
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StatisticsPtr countMinSketchStatisticsCreator(const SingleStatisticsDescription & description, DataTypePtr data_type);
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}
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}
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@ -10,8 +10,8 @@ extern const int ILLEGAL_STATISTICS;
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extern const int LOGICAL_ERROR;
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extern const int LOGICAL_ERROR;
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}
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}
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StatisticsTDigest::StatisticsTDigest(const SingleStatisticsDescription & stat_)
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StatisticsTDigest::StatisticsTDigest(const SingleStatisticsDescription & description)
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: IStatistics(stat_)
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: IStatistics(description)
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{
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{
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}
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}
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@ -57,7 +57,7 @@ Float64 StatisticsTDigest::estimateEqual(const Field & val) const
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throw Exception(ErrorCodes::LOGICAL_ERROR, "Statistics 'tdigest' does not support estimating value of type {}", val.getTypeName());
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throw Exception(ErrorCodes::LOGICAL_ERROR, "Statistics 'tdigest' does not support estimating value of type {}", val.getTypeName());
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}
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}
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void tdigestStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr data_type)
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void tdigestStatisticsValidator(const SingleStatisticsDescription & /*description*/, DataTypePtr data_type)
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{
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{
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data_type = removeNullable(data_type);
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data_type = removeNullable(data_type);
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data_type = removeLowCardinalityAndNullable(data_type);
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data_type = removeLowCardinalityAndNullable(data_type);
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@ -65,9 +65,9 @@ void tdigestStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr
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throw Exception(ErrorCodes::ILLEGAL_STATISTICS, "Statistics of type 'tdigest' do not support type {}", data_type->getName());
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throw Exception(ErrorCodes::ILLEGAL_STATISTICS, "Statistics of type 'tdigest' do not support type {}", data_type->getName());
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}
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}
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StatisticsPtr tdigestStatisticsCreator(const SingleStatisticsDescription & stat, DataTypePtr)
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StatisticsPtr tdigestStatisticsCreator(const SingleStatisticsDescription & description, DataTypePtr /*data_type*/)
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{
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{
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return std::make_shared<StatisticsTDigest>(stat);
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return std::make_shared<StatisticsTDigest>(description);
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}
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}
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}
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}
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@ -9,7 +9,7 @@ namespace DB
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class StatisticsTDigest : public IStatistics
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class StatisticsTDigest : public IStatistics
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{
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{
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public:
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public:
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explicit StatisticsTDigest(const SingleStatisticsDescription & stat_);
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explicit StatisticsTDigest(const SingleStatisticsDescription & description);
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void update(const ColumnPtr & column) override;
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void update(const ColumnPtr & column) override;
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@ -23,7 +23,7 @@ private:
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QuantileTDigest<Float64> t_digest;
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QuantileTDigest<Float64> t_digest;
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};
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};
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void tdigestStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr data_type);
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void tdigestStatisticsValidator(const SingleStatisticsDescription & description, DataTypePtr data_type);
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StatisticsPtr tdigestStatisticsCreator(const SingleStatisticsDescription & stat, DataTypePtr);
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StatisticsPtr tdigestStatisticsCreator(const SingleStatisticsDescription & description, DataTypePtr data_type);
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}
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}
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@ -11,8 +11,8 @@ namespace ErrorCodes
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extern const int ILLEGAL_STATISTICS;
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extern const int ILLEGAL_STATISTICS;
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}
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}
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StatisticsUniq::StatisticsUniq(const SingleStatisticsDescription & stat_, const DataTypePtr & data_type)
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StatisticsUniq::StatisticsUniq(const SingleStatisticsDescription & description, const DataTypePtr & data_type)
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: IStatistics(stat_)
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: IStatistics(description)
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{
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{
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arena = std::make_unique<Arena>();
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arena = std::make_unique<Arena>();
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AggregateFunctionProperties properties;
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AggregateFunctionProperties properties;
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@ -52,7 +52,7 @@ UInt64 StatisticsUniq::estimateCardinality() const
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return column->getUInt(0);
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return column->getUInt(0);
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}
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}
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void uniqStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr data_type)
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void uniqStatisticsValidator(const SingleStatisticsDescription & /*description*/, DataTypePtr data_type)
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{
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{
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data_type = removeNullable(data_type);
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data_type = removeNullable(data_type);
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data_type = removeLowCardinalityAndNullable(data_type);
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data_type = removeLowCardinalityAndNullable(data_type);
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@ -60,9 +60,9 @@ void uniqStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr da
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throw Exception(ErrorCodes::ILLEGAL_STATISTICS, "Statistics of type 'uniq' do not support type {}", data_type->getName());
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throw Exception(ErrorCodes::ILLEGAL_STATISTICS, "Statistics of type 'uniq' do not support type {}", data_type->getName());
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}
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}
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StatisticsPtr uniqStatisticsCreator(const SingleStatisticsDescription & stat, DataTypePtr data_type)
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StatisticsPtr uniqStatisticsCreator(const SingleStatisticsDescription & description, DataTypePtr data_type)
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{
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{
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return std::make_shared<StatisticsUniq>(stat, data_type);
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return std::make_shared<StatisticsUniq>(description, data_type);
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}
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}
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}
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}
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class StatisticsUniq : public IStatistics
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class StatisticsUniq : public IStatistics
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{
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{
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public:
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public:
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StatisticsUniq(const SingleStatisticsDescription & stat_, const DataTypePtr & data_type);
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StatisticsUniq(const SingleStatisticsDescription & description, const DataTypePtr & data_type);
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~StatisticsUniq() override;
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~StatisticsUniq() override;
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void update(const ColumnPtr & column) override;
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void update(const ColumnPtr & column) override;
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@ -27,7 +27,7 @@ private:
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};
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};
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void uniqStatisticsValidator(const SingleStatisticsDescription &, DataTypePtr data_type);
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void uniqStatisticsValidator(const SingleStatisticsDescription & description, DataTypePtr data_type);
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StatisticsPtr uniqStatisticsCreator(const SingleStatisticsDescription & stat, DataTypePtr data_type);
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StatisticsPtr uniqStatisticsCreator(const SingleStatisticsDescription & description, DataTypePtr data_type);
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}
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}
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