Merge branch 'master' of github.com:yandex/ClickHouse

CHANGELOG.md

@@ -350,7 +350,7 @@ It allows to set commit mode: after every batch of messages is handled, or after
 * Renamed functions `leastSqr` to `simpleLinearRegression`, `LinearRegression` to `linearRegression`, `LogisticRegression` to `logisticRegression`. [#5391](https://github.com/yandex/ClickHouse/pull/5391) ([Nikolai Kochetov](https://github.com/KochetovNicolai))
 
 ### Performance Improvements
-* Paralellize processing of parts in alter modify query. [#4639](https://github.com/yandex/ClickHouse/pull/4639) ([Ivan Kush](https://github.com/IvanKush))
+* Paralellize processing of parts of non-replicated MergeTree tables in ALTER MODIFY query. [#4639](https://github.com/yandex/ClickHouse/pull/4639) ([Ivan Kush](https://github.com/IvanKush))
 * Optimizations in regular expressions extraction. [#5193](https://github.com/yandex/ClickHouse/pull/5193) [#5191](https://github.com/yandex/ClickHouse/pull/5191) ([Danila Kutenin](https://github.com/danlark1))
 * Do not add right join key column to join result if it's used only in join on section. [#5260](https://github.com/yandex/ClickHouse/pull/5260) ([Artem Zuikov](https://github.com/4ertus2))
 * Freeze the Kafka buffer after first empty response. It avoids multiple invokations of `ReadBuffer::next()` for empty result in some row-parsing streams. [#5283](https://github.com/yandex/ClickHouse/pull/5283) ([Ivan](https://github.com/abyss7))

dbms/programs/odbc-bridge/CMakeLists.txt

@@ -5,7 +5,6 @@ set(CLICKHOUSE_ODBC_BRIDGE_SOURCES
     ${CMAKE_CURRENT_SOURCE_DIR}/IdentifierQuoteHandler.cpp
     ${CMAKE_CURRENT_SOURCE_DIR}/MainHandler.cpp
     ${CMAKE_CURRENT_SOURCE_DIR}/ODBCBlockInputStream.cpp
-    ${CMAKE_CURRENT_SOURCE_DIR}/odbc-bridge.cpp
     ${CMAKE_CURRENT_SOURCE_DIR}/ODBCBridge.cpp
     ${CMAKE_CURRENT_SOURCE_DIR}/PingHandler.cpp
     ${CMAKE_CURRENT_SOURCE_DIR}/validateODBCConnectionString.cpp

dbms/src/AggregateFunctions/AggregateFunctionQuantile.cpp

@@ -24,6 +24,12 @@ template <typename Value, bool FloatReturn> using FuncQuantilesDeterministic = A
 template <typename Value, bool _> using FuncQuantileExact = AggregateFunctionQuantile<Value, QuantileExact<Value>, NameQuantileExact, false, void, false>;
 template <typename Value, bool _> using FuncQuantilesExact = AggregateFunctionQuantile<Value, QuantileExact<Value>, NameQuantilesExact, false, void, true>;
 
+template <typename Value, bool _> using FuncQuantileExactExclusive = AggregateFunctionQuantile<Value, QuantileExactExclusive<Value>, NameQuantileExactExclusive, false, Float64, false>;
+template <typename Value, bool _> using FuncQuantilesExactExclusive = AggregateFunctionQuantile<Value, QuantileExactExclusive<Value>, NameQuantilesExactExclusive, false, Float64, true>;
+
+template <typename Value, bool _> using FuncQuantileExactInclusive = AggregateFunctionQuantile<Value, QuantileExactInclusive<Value>, NameQuantileExactInclusive, false, Float64, false>;
+template <typename Value, bool _> using FuncQuantilesExactInclusive = AggregateFunctionQuantile<Value, QuantileExactInclusive<Value>, NameQuantilesExactInclusive, false, Float64, true>;
+
 template <typename Value, bool _> using FuncQuantileExactWeighted = AggregateFunctionQuantile<Value, QuantileExactWeighted<Value>, NameQuantileExactWeighted, true, void, false>;
 template <typename Value, bool _> using FuncQuantilesExactWeighted = AggregateFunctionQuantile<Value, QuantileExactWeighted<Value>, NameQuantilesExactWeighted, true, void, true>;
 
@@ -92,6 +98,12 @@ void registerAggregateFunctionsQuantile(AggregateFunctionFactory & factory)
     factory.registerFunction(NameQuantileExact::name, createAggregateFunctionQuantile<FuncQuantileExact>);
     factory.registerFunction(NameQuantilesExact::name, createAggregateFunctionQuantile<FuncQuantilesExact>);
 
+    factory.registerFunction(NameQuantileExactExclusive::name, createAggregateFunctionQuantile<FuncQuantileExactExclusive>);
+    factory.registerFunction(NameQuantilesExactExclusive::name, createAggregateFunctionQuantile<FuncQuantilesExactExclusive>);
+
+    factory.registerFunction(NameQuantileExactInclusive::name, createAggregateFunctionQuantile<FuncQuantileExactInclusive>);
+    factory.registerFunction(NameQuantilesExactInclusive::name, createAggregateFunctionQuantile<FuncQuantilesExactInclusive>);
+
     factory.registerFunction(NameQuantileExactWeighted::name, createAggregateFunctionQuantile<FuncQuantileExactWeighted>);
     factory.registerFunction(NameQuantilesExactWeighted::name, createAggregateFunctionQuantile<FuncQuantilesExactWeighted>);
 

dbms/src/AggregateFunctions/AggregateFunctionQuantile.h

@@ -199,8 +199,15 @@ struct NameQuantileDeterministic { static constexpr auto name = "quantileDetermi
 struct NameQuantilesDeterministic { static constexpr auto name = "quantilesDeterministic"; };
 
 struct NameQuantileExact { static constexpr auto name = "quantileExact"; };
-struct NameQuantileExactWeighted { static constexpr auto name = "quantileExactWeighted"; };
 struct NameQuantilesExact { static constexpr auto name = "quantilesExact"; };
+
+struct NameQuantileExactExclusive { static constexpr auto name = "quantileExactExclusive"; };
+struct NameQuantilesExactExclusive { static constexpr auto name = "quantilesExactExclusive"; };
+
+struct NameQuantileExactInclusive { static constexpr auto name = "quantileExactInclusive"; };
+struct NameQuantilesExactInclusive { static constexpr auto name = "quantilesExactInclusive"; };
+
+struct NameQuantileExactWeighted { static constexpr auto name = "quantileExactWeighted"; };
 struct NameQuantilesExactWeighted { static constexpr auto name = "quantilesExactWeighted"; };
 
 struct NameQuantileTiming { static constexpr auto name = "quantileTiming"; };

dbms/src/AggregateFunctions/AggregateFunctionWindowFunnel.cpp

@@ -17,8 +17,8 @@ namespace
 template <template <typename> class Data>
 AggregateFunctionPtr createAggregateFunctionWindowFunnel(const std::string & name, const DataTypes & arguments, const Array & params)
 {
-    if (params.size() != 1)
+    if (params.size() < 1)
-        throw Exception{"Aggregate function " + name + " requires exactly one parameter.", ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH};
+        throw Exception{"Aggregate function " + name + " requires at least one parameter: <window>, [option, [option, ...]]", ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH};
 
     if (arguments.size() < 2)
         throw Exception("Aggregate function " + name + " requires one timestamp argument and at least one event condition.", ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);

dbms/src/AggregateFunctions/AggregateFunctionWindowFunnel.h

@@ -139,6 +139,7 @@ class AggregateFunctionWindowFunnel final
 private:
     UInt64 window;
     UInt8 events_size;
+    UInt8 strict;
 
 
     // Loop through the entire events_list, update the event timestamp value
@@ -165,6 +166,10 @@ private:
 
             if (event_idx == 0)
                 events_timestamp[0] = timestamp;
+            else if (strict && events_timestamp[event_idx] >= 0)
+            {
+                return event_idx + 1;
+            }
             else if (events_timestamp[event_idx - 1] >= 0 && timestamp <= events_timestamp[event_idx - 1] + window)
             {
                 events_timestamp[event_idx] = events_timestamp[event_idx - 1];
@@ -191,8 +196,17 @@ public:
     {
         events_size = arguments.size() - 1;
         window = params.at(0).safeGet<UInt64>();
-    }
 
+        strict = 0;
+        for (size_t i = 1; i < params.size(); ++i)
+        {
+            String option = params.at(i).safeGet<String>();
+            if (option.compare("strict") == 0)
+                strict = 1;
+            else
+                throw Exception{"Aggregate function " + getName() + " doesn't support a parameter: " + option, ErrorCodes::BAD_ARGUMENTS};
+        }
+    }
 
     DataTypePtr getReturnType() const override
     {

dbms/src/AggregateFunctions/QuantileExact.h

@@ -14,6 +14,7 @@ namespace DB
 namespace ErrorCodes
 {
     extern const int NOT_IMPLEMENTED;
+    extern const int BAD_ARGUMENTS;
 }
 
 /** Calculates quantile by collecting all values into array
@@ -106,16 +107,134 @@ struct QuantileExact
                 result[i] = Value();
         }
     }
+};
 
-    /// The same, but in the case of an empty state, NaN is returned.
+/// QuantileExactExclusive is equivalent to Excel PERCENTILE.EXC, R-6, SAS-4, SciPy-(0,0)
-    Float64 getFloat(Float64) const
+template <typename Value>
+struct QuantileExactExclusive : public QuantileExact<Value>
+{
+    using QuantileExact<Value>::array;
+
+    /// Get the value of the `level` quantile. The level must be between 0 and 1 excluding bounds.
+    Float64 getFloat(Float64 level)
     {
-        throw Exception("Method getFloat is not implemented for QuantileExact", ErrorCodes::NOT_IMPLEMENTED);
+        if (!array.empty())
+        {
+            if (level == 0. || level == 1.)
+                throw Exception("QuantileExactExclusive cannot interpolate for the percentiles 1 and 0", ErrorCodes::BAD_ARGUMENTS);
+
+            Float64 h = level * (array.size() + 1);
+            auto n = static_cast<size_t>(h);
+
+            if (n >= array.size())
+                return array[array.size() - 1];
+            else if (n < 1)
+                return array[0];
+
+            std::nth_element(array.begin(), array.begin() + n - 1, array.end());
+            auto nth_element = std::min_element(array.begin() + n, array.end());
+
+            return array[n - 1] + (h - n) * (*nth_element - array[n - 1]);
+        }
+
+        return std::numeric_limits<Float64>::quiet_NaN();
     }
 
-    void getManyFloat(const Float64 *, const size_t *, size_t, Float64 *) const
+    void getManyFloat(const Float64 * levels, const size_t * indices, size_t size, Float64 * result)
     {
-        throw Exception("Method getManyFloat is not implemented for QuantileExact", ErrorCodes::NOT_IMPLEMENTED);
+        if (!array.empty())
+        {
+            size_t prev_n = 0;
+            for (size_t i = 0; i < size; ++i)
+            {
+                auto level = levels[indices[i]];
+                if (level == 0. || level == 1.)
+                    throw Exception("QuantileExactExclusive cannot interpolate for the percentiles 1 and 0", ErrorCodes::BAD_ARGUMENTS);
+
+                Float64 h = level * (array.size() + 1);
+                auto n = static_cast<size_t>(h);
+
+                if (n >= array.size())
+                    result[indices[i]] = array[array.size() - 1];
+                else if (n < 1)
+                    result[indices[i]] = array[0];
+                else
+                {
+                    std::nth_element(array.begin() + prev_n, array.begin() + n - 1, array.end());
+                    auto nth_element = std::min_element(array.begin() + n, array.end());
+
+                    result[indices[i]] = array[n - 1] + (h - n) * (*nth_element - array[n - 1]);
+                    prev_n = n - 1;
+                }
+            }
+        }
+        else
+        {
+            for (size_t i = 0; i < size; ++i)
+                result[i] = std::numeric_limits<Float64>::quiet_NaN();
+        }
+    }
+};
+
+/// QuantileExactInclusive is equivalent to Excel PERCENTILE and PERCENTILE.INC, R-7,  SciPy-(1,1)
+template <typename Value>
+struct QuantileExactInclusive : public QuantileExact<Value>
+{
+    using QuantileExact<Value>::array;
+
+    /// Get the value of the `level` quantile. The level must be between 0 and 1 including bounds.
+    Float64 getFloat(Float64 level)
+    {
+        if (!array.empty())
+        {
+            Float64 h = level * (array.size() - 1) + 1;
+            auto n = static_cast<size_t>(h);
+
+            if (n >= array.size())
+                return array[array.size() - 1];
+            else if (n < 1)
+                return array[0];
+
+            std::nth_element(array.begin(), array.begin() + n - 1, array.end());
+            auto nth_element = std::min_element(array.begin() + n, array.end());
+
+            return array[n - 1] + (h - n) * (*nth_element - array[n - 1]);
+        }
+
+        return std::numeric_limits<Float64>::quiet_NaN();
+    }
+
+    void getManyFloat(const Float64 * levels, const size_t * indices, size_t size, Float64 * result)
+    {
+        if (!array.empty())
+        {
+            size_t prev_n = 0;
+            for (size_t i = 0; i < size; ++i)
+            {
+                auto level = levels[indices[i]];
+
+                Float64 h = level * (array.size() - 1) + 1;
+                auto n = static_cast<size_t>(h);
+
+                if (n >= array.size())
+                    result[indices[i]] = array[array.size() - 1];
+                else if (n < 1)
+                    result[indices[i]] = array[0];
+                else
+                {
+                    std::nth_element(array.begin() + prev_n, array.begin() + n - 1, array.end());
+                    auto nth_element = std::min_element(array.begin() + n, array.end());
+
+                    result[indices[i]] = array[n - 1] + (h - n) * (*nth_element - array[n - 1]);
+                    prev_n = n - 1;
+                }
+            }
+        }
+        else
+        {
+            for (size_t i = 0; i < size; ++i)
+                result[i] = std::numeric_limits<Float64>::quiet_NaN();
+        }
     }
 };
 

dbms/src/Core/Settings.h

@@ -99,7 +99,7 @@ struct Settings : public SettingsCollection<Settings>
     M(SettingUInt64, parallel_replicas_count, 0, "") \
     M(SettingUInt64, parallel_replica_offset, 0, "") \
     \
-    M(SettingBool, skip_unavailable_shards, false, "Silently skip unavailable shards.") \
+    M(SettingBool, skip_unavailable_shards, false, "If 1, ClickHouse silently skips unavailable shards and nodes unresolvable through DNS. Shard is marked as unavailable when none of the replicas can be reached.") \
     \
     M(SettingBool, distributed_group_by_no_merge, false, "Do not merge aggregation states from different servers for distributed query processing - in case it is for certain that there are different keys on different shards.") \
     M(SettingBool, optimize_skip_unused_shards, false, "Assumes that data is distributed by sharding_key. Optimization to skip unused shards if SELECT query filters by sharding_key.") \
@@ -212,7 +212,7 @@ struct Settings : public SettingsCollection<Settings>
     M(SettingUInt64, insert_distributed_timeout, 0, "Timeout for insert query into distributed. Setting is used only with insert_distributed_sync enabled. Zero value means no timeout.") \
     M(SettingInt64, distributed_ddl_task_timeout, 180, "Timeout for DDL query responses from all hosts in cluster. If a ddl request has not been performed on all hosts, a response will contain a timeout error and a request will be executed in an async mode. Negative value means infinite.") \
     M(SettingMilliseconds, stream_flush_interval_ms, 7500, "Timeout for flushing data from streaming storages.") \
-    M(SettingMilliseconds, stream_poll_timeout_ms, 500, "Timeout for polling data from streaming storages.") \
+    M(SettingMilliseconds, stream_poll_timeout_ms, 500, "Timeout for polling data from/to streaming storages.") \
     M(SettingString, format_schema, "", "Schema identifier (used by schema-based formats)") \
     M(SettingBool, insert_allow_materialized_columns, 0, "If setting is enabled, Allow materialized columns in INSERT.") \
     M(SettingSeconds, http_connection_timeout, DEFAULT_HTTP_READ_BUFFER_CONNECTION_TIMEOUT, "HTTP connection timeout.") \

dbms/src/Formats/BlockOutputStreamFromRowOutputStream.cpp

@@ -1,45 +0,0 @@
-#include <Core/Block.h>
-#include <Formats/BlockOutputStreamFromRowOutputStream.h>
-
-
-namespace DB
-{
-
-BlockOutputStreamFromRowOutputStream::BlockOutputStreamFromRowOutputStream(RowOutputStreamPtr row_output_, const Block & header_)
-    : row_output(row_output_), header(header_) {}
-
-
-void BlockOutputStreamFromRowOutputStream::write(const Block & block)
-{
-    size_t rows = block.rows();
-    for (size_t i = 0; i < rows; ++i)
-    {
-        if (!first_row)
-            row_output->writeRowBetweenDelimiter();
-        first_row = false;
-        row_output->write(block, i);
-    }
-}
-
-
-void BlockOutputStreamFromRowOutputStream::setRowsBeforeLimit(size_t rows_before_limit)
-{
-    row_output->setRowsBeforeLimit(rows_before_limit);
-}
-
-void BlockOutputStreamFromRowOutputStream::setTotals(const Block & totals)
-{
-    row_output->setTotals(totals);
-}
-
-void BlockOutputStreamFromRowOutputStream::setExtremes(const Block & extremes)
-{
-    row_output->setExtremes(extremes);
-}
-
-void BlockOutputStreamFromRowOutputStream::onProgress(const Progress & progress)
-{
-    row_output->onProgress(progress);
-}
-
-}

dbms/src/Formats/BlockOutputStreamFromRowOutputStream.h

@@ -1,38 +0,0 @@
-#pragma once
-
-#include <DataStreams/IBlockOutputStream.h>
-#include <Formats/IRowOutputStream.h>
-
-
-namespace DB
-{
-
-/** Transforms a stream to write data by rows to a stream to write data by blocks.
-  * For example, to write a text dump.
-  */
-class BlockOutputStreamFromRowOutputStream : public IBlockOutputStream
-{
-public:
-    BlockOutputStreamFromRowOutputStream(RowOutputStreamPtr row_output_, const Block & header_);
-
-    Block getHeader() const override { return header; }
-    void write(const Block & block) override;
-    void writePrefix() override { row_output->writePrefix(); }
-    void writeSuffix() override { row_output->writeSuffix(); }
-
-    void flush() override { row_output->flush(); }
-
-    void setRowsBeforeLimit(size_t rows_before_limit) override;
-    void setTotals(const Block & totals) override;
-    void setExtremes(const Block & extremes) override;
-    void onProgress(const Progress & progress) override;
-
-    String getContentType() const override { return row_output->getContentType(); }
-
-private:
-    RowOutputStreamPtr row_output;
-    Block header;
-    bool first_row = true;
-};
-
-}

dbms/src/Formats/CSVRowInputStream.cpp

@@ -348,10 +348,9 @@ bool OPTIMIZE(1) CSVRowInputStream::parseRowAndPrintDiagnosticInfo(MutableColumn
             const auto & current_column_type = data_types[table_column];
             const bool is_last_file_column =
                     file_column + 1 == column_indexes_for_input_fields.size();
-            const bool at_delimiter = *istr.position() == delimiter;
+            const bool at_delimiter = !istr.eof() && *istr.position() == delimiter;
             const bool at_last_column_line_end = is_last_file_column
-                    && (*istr.position() == '\n' || *istr.position() == '\r'
+                    && (istr.eof() || *istr.position() == '\n' || *istr.position() == '\r');
-                        || istr.eof());
 
             out << "Column " << file_column << ", " << std::string((file_column < 10 ? 2 : file_column < 100 ? 1 : 0), ' ')
                 << "name: " << header.safeGetByPosition(table_column).name << ", " << std::string(max_length_of_column_name - header.safeGetByPosition(table_column).name.size(), ' ')
@@ -514,10 +513,9 @@ void CSVRowInputStream::updateDiagnosticInfo()
 
 bool CSVRowInputStream::readField(IColumn & column, const DataTypePtr & type, bool is_last_file_column, size_t column_idx)
 {
-    const bool at_delimiter = *istr.position() == format_settings.csv.delimiter;
+    const bool at_delimiter = !istr.eof() || *istr.position() == format_settings.csv.delimiter;
     const bool at_last_column_line_end = is_last_file_column
-                                         && (*istr.position() == '\n' || *istr.position() == '\r'
+                                         && (istr.eof() || *istr.position() == '\n' || *istr.position() == '\r');
-                                             || istr.eof());
 
     if (format_settings.csv.empty_as_default
         && (at_delimiter || at_last_column_line_end))

dbms/src/Formats/FormatFactory.cpp

@@ -100,7 +100,8 @@ BlockInputStreamPtr FormatFactory::getInput(
 }
 
 
-BlockOutputStreamPtr FormatFactory::getOutput(const String & name, WriteBuffer & buf, const Block & sample, const Context & context) const
+BlockOutputStreamPtr FormatFactory::getOutput(
+    const String & name, WriteBuffer & buf, const Block & sample, const Context & context, WriteCallback callback) const
 {
     if (name == "PrettyCompactMonoBlock")
     {
@@ -124,14 +125,14 @@ BlockOutputStreamPtr FormatFactory::getOutput(const String & name, WriteBuffer &
         const Settings & settings = context.getSettingsRef();
         FormatSettings format_settings = getOutputFormatSetting(settings);
 
-        /** Materialization is needed, because formats can use the functions `IDataType`,
+        /**  Materialization is needed, because formats can use the functions `IDataType`,
           *  which only work with full columns.
           */
         return std::make_shared<MaterializingBlockOutputStream>(
-                output_getter(buf, sample, context, format_settings), sample);
+                output_getter(buf, sample, context, callback, format_settings), sample);
     }
 
-    auto format = getOutputFormat(name, buf, sample, context);
+    auto format = getOutputFormat(name, buf, sample, context, callback);
     return std::make_shared<MaterializingBlockOutputStream>(std::make_shared<OutputStreamToOutputFormat>(format), sample);
 }
 
@@ -165,7 +166,8 @@ InputFormatPtr FormatFactory::getInputFormat(
 }
 
 
-OutputFormatPtr FormatFactory::getOutputFormat(const String & name, WriteBuffer & buf, const Block & sample, const Context & context) const
+OutputFormatPtr FormatFactory::getOutputFormat(
+    const String & name, WriteBuffer & buf, const Block & sample, const Context & context, WriteCallback callback) const
 {
     const auto & output_getter = getCreators(name).output_processor_creator;
     if (!output_getter)
@@ -177,7 +179,7 @@ OutputFormatPtr FormatFactory::getOutputFormat(const String & name, WriteBuffer
     /** TODO: Materialization is needed, because formats can use the functions `IDataType`,
       *  which only work with full columns.
       */
-    return output_getter(buf, sample, context, format_settings);
+    return output_getter(buf, sample, context, callback, format_settings);
 }
 
 

dbms/src/Formats/FormatFactory.h

@@ -41,6 +41,10 @@ public:
     /// It's initial purpose was to extract payload for virtual columns from Kafka Consumer ReadBuffer.
     using ReadCallback = std::function<void()>;
 
+    /// This callback allows to perform some additional actions after writing a single row.
+    /// It's initial purpose was to flush Kafka message for each row.
+    using WriteCallback = std::function<void()>;
+
 private:
     using InputCreator = std::function<BlockInputStreamPtr(
         ReadBuffer & buf,
@@ -55,6 +59,7 @@ private:
         WriteBuffer & buf,
         const Block & sample,
         const Context & context,
+        WriteCallback callback,
         const FormatSettings & settings)>;
 
     using InputProcessorCreator = std::function<InputFormatPtr(
@@ -68,6 +73,7 @@ private:
             WriteBuffer & buf,
             const Block & sample,
             const Context & context,
+            WriteCallback callback,
             const FormatSettings & settings)>;
 
     struct Creators
@@ -91,7 +97,7 @@ public:
         ReadCallback callback = {}) const;
 
     BlockOutputStreamPtr getOutput(const String & name, WriteBuffer & buf,
-        const Block & sample, const Context & context) const;
+        const Block & sample, const Context & context, WriteCallback callback = {}) const;
 
     InputFormatPtr getInputFormat(
         const String & name,
@@ -102,8 +108,8 @@ public:
         UInt64 rows_portion_size = 0,
         ReadCallback callback = {}) const;
 
-    OutputFormatPtr getOutputFormat(const String & name, WriteBuffer & buf,
+    OutputFormatPtr getOutputFormat(
-        const Block & sample, const Context & context) const;
+        const String & name, WriteBuffer & buf, const Block & sample, const Context & context, WriteCallback callback = {}) const;
 
     /// Register format by its name.
     void registerInputFormat(const String & name, InputCreator input_creator);

dbms/src/Formats/NativeFormat.cpp

@@ -27,6 +27,7 @@ void registerOutputFormatNative(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings &)
     {
         return std::make_shared<NativeBlockOutputStream>(buf, 0, sample);

dbms/src/Formats/NullFormat.cpp

@@ -11,6 +11,7 @@ void registerOutputFormatNull(FormatFactory & factory)
         WriteBuffer &,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings &)
     {
         return std::make_shared<NullBlockOutputStream>(sample);

dbms/src/Formats/tests/block_row_transforms.cpp

@@ -14,7 +14,6 @@
 
 #include <Formats/TabSeparatedRowInputStream.h>
 #include <Formats/BlockInputStreamFromRowInputStream.h>
-#include <Formats/BlockOutputStreamFromRowOutputStream.h>
 
 #include <DataStreams/copyData.h>
 #include <Processors/Formats/Impl/TabSeparatedRowOutputFormat.h>
@@ -47,7 +46,7 @@ try
 
     RowInputStreamPtr row_input = std::make_shared<TabSeparatedRowInputStream>(in_buf, sample, false, false, format_settings);
     BlockInputStreamFromRowInputStream block_input(row_input, sample, DEFAULT_INSERT_BLOCK_SIZE, 0, []{}, format_settings);
-    BlockOutputStreamPtr block_output = std::make_shared<OutputStreamToOutputFormat>(std::make_shared<TabSeparatedRowOutputFormat>(out_buf, sample, false, false, format_settings));
+    BlockOutputStreamPtr block_output = std::make_shared<OutputStreamToOutputFormat>(std::make_shared<TabSeparatedRowOutputFormat>(out_buf, sample, false, false, []{}, format_settings));
 
     copyData(block_input, *block_output);
 }

dbms/src/Formats/tests/tab_separated_streams.cpp

@@ -11,7 +11,6 @@
 
 #include <Formats/TabSeparatedRowInputStream.h>
 #include <Formats/BlockInputStreamFromRowInputStream.h>
-#include <Formats/BlockOutputStreamFromRowOutputStream.h>
 
 #include <DataStreams/copyData.h>
 #include <Processors/Formats/OutputStreamToOutputFormat.h>
@@ -44,7 +43,7 @@ try
     BlockInputStreamFromRowInputStream block_input(row_input, sample, DEFAULT_INSERT_BLOCK_SIZE, 0, []{}, format_settings);
 
     BlockOutputStreamPtr block_output = std::make_shared<OutputStreamToOutputFormat>(
-            std::make_shared<TabSeparatedRowOutputFormat>(out_buf, sample, false, false, format_settings));
+        std::make_shared<TabSeparatedRowOutputFormat>(out_buf, sample, false, false, [] {}, format_settings));
 
     copyData(block_input, *block_output);
     return 0;

dbms/src/IO/MemoryReadWriteBuffer.h

@@ -11,7 +11,7 @@
 namespace DB
 {
 
-/// Stores data in memory chunks, size of cunks are exponentially increasing during write
+/// Stores data in memory chunks, size of chunks are exponentially increasing during write
 /// Written data could be reread after write
 class MemoryWriteBuffer : public WriteBuffer, public IReadableWriteBuffer, boost::noncopyable, private Allocator<false>
 {

dbms/src/IO/WriteBuffer.h

@@ -35,7 +35,7 @@ public:
       */
     inline void next()
     {
-        if (!offset())
+        if (!offset() && available())
             return;
         bytes += offset();
 

dbms/src/Interpreters/Set.cpp

@@ -320,13 +320,7 @@ ColumnPtr Set::execute(const Block & block, bool negative) const
         return res;
     }
 
-    if (data_types.size() != num_key_columns)
+    checkColumnsNumber(num_key_columns);
-    {
-        std::stringstream message;
-        message << "Number of columns in section IN doesn't match. "
-            << num_key_columns << " at left, " << data_types.size() << " at right.";
-        throw Exception(message.str(), ErrorCodes::NUMBER_OF_COLUMNS_DOESNT_MATCH);
-    }
 
     /// Remember the columns we will work with. Also check that the data types are correct.
     ColumnRawPtrs key_columns;
@@ -337,11 +331,7 @@ ColumnPtr Set::execute(const Block & block, bool negative) const
 
     for (size_t i = 0; i < num_key_columns; ++i)
     {
-        if (!removeNullable(data_types[i])->equals(*removeNullable(block.safeGetByPosition(i).type)))
+        checkTypesEqual(i, block.safeGetByPosition(i).type);
-            throw Exception("Types of column " + toString(i + 1) + " in section IN don't match: "
-                + data_types[i]->getName() + " on the right, " + block.safeGetByPosition(i).type->getName() +
-                " on the left.", ErrorCodes::TYPE_MISMATCH);
-
         materialized_columns.emplace_back(block.safeGetByPosition(i).column->convertToFullColumnIfConst());
         key_columns.emplace_back() = materialized_columns.back().get();
     }
@@ -421,6 +411,24 @@ void Set::executeOrdinary(
     }
 }
 
+void Set::checkColumnsNumber(size_t num_key_columns) const
+{
+    if (data_types.size() != num_key_columns)
+    {
+        std::stringstream message;
+        message << "Number of columns in section IN doesn't match. "
+                << num_key_columns << " at left, " << data_types.size() << " at right.";
+        throw Exception(message.str(), ErrorCodes::NUMBER_OF_COLUMNS_DOESNT_MATCH);
+    }
+}
+
+void Set::checkTypesEqual(size_t set_type_idx, const DataTypePtr & other_type) const
+{
+    if (!removeNullable(data_types[set_type_idx])->equals(*removeNullable(other_type)))
+        throw Exception("Types of column " + toString(set_type_idx + 1) + " in section IN don't match: "
+                        + data_types[set_type_idx]->getName() + " on the right, " + other_type->getName() +
+                        " on the left.", ErrorCodes::TYPE_MISMATCH);
+}
 
 MergeTreeSetIndex::MergeTreeSetIndex(const Columns & set_elements, std::vector<KeyTuplePositionMapping> && index_mapping_)
     : indexes_mapping(std::move(index_mapping_))

dbms/src/Interpreters/Set.h

@@ -70,6 +70,9 @@ public:
     bool hasExplicitSetElements() const { return fill_set_elements; }
     Columns getSetElements() const { return { set_elements.begin(), set_elements.end() }; }
 
+    void checkColumnsNumber(size_t num_key_columns) const;
+    void checkTypesEqual(size_t set_type_idx, const DataTypePtr & other_type) const;
+
 private:
     size_t keys_size = 0;
     Sizes key_sizes;

dbms/src/Processors/Formats/IRowOutputFormat.cpp

@@ -20,6 +20,9 @@ void IRowOutputFormat::consume(DB::Chunk chunk)
         first_row = false;
 
         write(columns, row);
+
+        if (write_single_row_callback)
+            write_single_row_callback();
     }
 }
 
@@ -96,6 +99,3 @@ void IRowOutputFormat::writeTotals(const DB::Columns & columns, size_t row_num)
 }
 
 }
-
-
-

dbms/src/Processors/Formats/IRowOutputFormat.h

@@ -1,8 +1,10 @@
 #pragma once
 
-#include <string>
+#include <Formats/FormatFactory.h>
 #include <Processors/Formats/IOutputFormat.h>
 
+#include <string>
+
 
 namespace DB
 {
@@ -22,8 +24,8 @@ protected:
     void finalize() override;
 
 public:
-    IRowOutputFormat(const Block & header, WriteBuffer & out_)
+    IRowOutputFormat(const Block & header, WriteBuffer & out_, FormatFactory::WriteCallback callback)
-        : IOutputFormat(header, out_), types(header.getDataTypes())
+        : IOutputFormat(header, out_), types(header.getDataTypes()), write_single_row_callback(callback)
     {
     }
 
@@ -57,6 +59,9 @@ private:
     bool prefix_written = false;
     bool suffix_written = false;
 
+    // Callback used to indicate that another row is written.
+    FormatFactory::WriteCallback write_single_row_callback;
+
     void writePrefixIfNot()
     {
         if (!prefix_written)
@@ -76,5 +81,3 @@ private:
 };
 
 }
-
-

dbms/src/Processors/Formats/Impl/BinaryRowOutputFormat.cpp

@@ -9,8 +9,8 @@
 namespace DB
 {
 
-BinaryRowOutputFormat::BinaryRowOutputFormat(WriteBuffer & out_, const Block & header, bool with_names_, bool with_types_)
+BinaryRowOutputFormat::BinaryRowOutputFormat(WriteBuffer & out_, const Block & header, bool with_names_, bool with_types_, FormatFactory::WriteCallback callback)
-    : IRowOutputFormat(header, out_), with_names(with_names_), with_types(with_types_)
+    : IRowOutputFormat(header, out_, callback), with_names(with_names_), with_types(with_types_)
 {
 }
 
@@ -53,18 +53,20 @@ void registerOutputFormatProcessorRowBinary(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings &)
     {
-        return std::make_shared<BinaryRowOutputFormat>(buf, sample, false, false);
+        return std::make_shared<BinaryRowOutputFormat>(buf, sample, false, false, callback);
     });
 
     factory.registerOutputFormatProcessor("RowBinaryWithNamesAndTypes", [](
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings &)
     {
-        return std::make_shared<BinaryRowOutputFormat>(buf, sample, true, true);
+        return std::make_shared<BinaryRowOutputFormat>(buf, sample, true, true, callback);
     });
 }
 

dbms/src/Processors/Formats/Impl/BinaryRowOutputFormat.h

@@ -17,7 +17,7 @@ class WriteBuffer;
 class BinaryRowOutputFormat: public IRowOutputFormat
 {
 public:
-    BinaryRowOutputFormat(WriteBuffer & out_, const Block & header, bool with_names_, bool with_types_);
+    BinaryRowOutputFormat(WriteBuffer & out_, const Block & header, bool with_names_, bool with_types_, FormatFactory::WriteCallback callback);
 
     String getName() const override { return "BinaryRowOutputFormat"; }
 
@@ -32,4 +32,3 @@ protected:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/CSVRowInputFormat.cpp

@@ -349,10 +349,9 @@ bool OPTIMIZE(1) CSVRowInputFormat::parseRowAndPrintDiagnosticInfo(MutableColumn
             const auto & current_column_type = data_types[table_column];
             const bool is_last_file_column =
                     file_column + 1 == column_indexes_for_input_fields.size();
-            const bool at_delimiter = *in.position() == delimiter;
+            const bool at_delimiter = !in.eof() && *in.position() == delimiter;
             const bool at_last_column_line_end = is_last_file_column
-                                                 && (*in.position() == '\n' || *in.position() == '\r'
+                                                 && (in.eof() || *in.position() == '\n' || *in.position() == '\r');
-                                                     || in.eof());
 
             auto & header = getPort().getHeader();
             out << "Column " << file_column << ", " << std::string((file_column < 10 ? 2 : file_column < 100 ? 1 : 0), ' ')
@@ -516,10 +515,9 @@ void CSVRowInputFormat::updateDiagnosticInfo()
 
 bool CSVRowInputFormat::readField(IColumn & column, const DataTypePtr & type, bool is_last_file_column, size_t column_idx)
 {
-    const bool at_delimiter = *in.position() == format_settings.csv.delimiter;
+    const bool at_delimiter = !in.eof() && *in.position() == format_settings.csv.delimiter;
     const bool at_last_column_line_end = is_last_file_column
-                                         && (*in.position() == '\n' || *in.position() == '\r'
+                                         && (in.eof() || *in.position() == '\n' || *in.position() == '\r');
-                                             || in.eof());
 
     if (format_settings.csv.empty_as_default
         && (at_delimiter || at_last_column_line_end))

dbms/src/Processors/Formats/Impl/CSVRowOutputFormat.cpp

@@ -8,8 +8,8 @@ namespace DB
 {
 
 
-CSVRowOutputFormat::CSVRowOutputFormat(WriteBuffer & out_, const Block & header_, bool with_names_, const FormatSettings & format_settings_)
+CSVRowOutputFormat::CSVRowOutputFormat(WriteBuffer & out_, const Block & header_, bool with_names_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_)
-    : IRowOutputFormat(header_, out_), with_names(with_names_), format_settings(format_settings_)
+    : IRowOutputFormat(header_, out_, callback), with_names(with_names_), format_settings(format_settings_)
 {
     auto & sample = getPort(PortKind::Main).getHeader();
     size_t columns = sample.columns();
@@ -77,9 +77,10 @@ void registerOutputFormatProcessorCSV(FormatFactory & factory)
             WriteBuffer & buf,
             const Block & sample,
             const Context &,
+            FormatFactory::WriteCallback callback,
             const FormatSettings & format_settings)
         {
-                return std::make_shared<CSVRowOutputFormat>(buf, sample, with_names, format_settings);
+                return std::make_shared<CSVRowOutputFormat>(buf, sample, with_names, callback, format_settings);
         });
     }
 }

dbms/src/Processors/Formats/Impl/CSVRowOutputFormat.h

@@ -20,7 +20,7 @@ public:
     /** with_names - output in the first line a header with column names
       * with_types - output in the next line header with the names of the types
       */
-    CSVRowOutputFormat(WriteBuffer & out_, const Block & header_, bool with_names_, const FormatSettings & format_settings_);
+    CSVRowOutputFormat(WriteBuffer & out_, const Block & header_, bool with_names_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_);
 
     String getName() const override { return "CSVRowOutputFormat"; }
 
@@ -45,4 +45,3 @@ protected:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/JSONCompactRowOutputFormat.cpp

@@ -8,8 +8,8 @@ namespace DB
 {
 
 JSONCompactRowOutputFormat::JSONCompactRowOutputFormat(
-    WriteBuffer & out_, const Block & header, const FormatSettings & settings_)
+    WriteBuffer & out_, const Block & header, FormatFactory::WriteCallback callback, const FormatSettings & settings_)
-    : JSONRowOutputFormat(out_, header, settings_)
+    : JSONRowOutputFormat(out_, header, callback, settings_)
 {
 }
 
@@ -81,9 +81,10 @@ void registerOutputFormatProcessorJSONCompact(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & format_settings)
     {
-        return std::make_shared<JSONCompactRowOutputFormat>(buf, sample, format_settings);
+        return std::make_shared<JSONCompactRowOutputFormat>(buf, sample, callback, format_settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/JSONCompactRowOutputFormat.h

@@ -16,7 +16,7 @@ struct FormatSettings;
 class JSONCompactRowOutputFormat : public JSONRowOutputFormat
 {
 public:
-    JSONCompactRowOutputFormat(WriteBuffer & out_, const Block & header, const FormatSettings & settings_);
+    JSONCompactRowOutputFormat(WriteBuffer & out_, const Block & header, FormatFactory::WriteCallback callback, const FormatSettings & settings_);
 
     String getName() const override { return "JSONCompactRowOutputFormat"; }
 

dbms/src/Processors/Formats/Impl/JSONEachRowRowOutputFormat.cpp

@@ -8,8 +8,8 @@ namespace DB
 {
 
 
-JSONEachRowRowOutputFormat::JSONEachRowRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & settings_)
+JSONEachRowRowOutputFormat::JSONEachRowRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & settings_)
-    : IRowOutputFormat(header_, out_), settings(settings_)
+    : IRowOutputFormat(header_, out_, callback), settings(settings_)
 {
     auto & sample = getPort(PortKind::Main).getHeader();
     size_t columns = sample.columns();
@@ -57,9 +57,10 @@ void registerOutputFormatProcessorJSONEachRow(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & format_settings)
     {
-        return std::make_shared<JSONEachRowRowOutputFormat>(buf, sample, format_settings);
+        return std::make_shared<JSONEachRowRowOutputFormat>(buf, sample, callback, format_settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/JSONEachRowRowOutputFormat.h

@@ -15,7 +15,7 @@ namespace DB
 class JSONEachRowRowOutputFormat : public IRowOutputFormat
 {
 public:
-    JSONEachRowRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & settings_);
+    JSONEachRowRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & settings_);
 
     String getName() const override { return "JSONEachRowRowOutputFormat"; }
 
@@ -37,4 +37,3 @@ private:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/JSONRowOutputFormat.cpp

@@ -2,14 +2,13 @@
 #include <IO/WriteBufferValidUTF8.h>
 #include <Processors/Formats/Impl/JSONRowOutputFormat.h>
 #include <Formats/FormatFactory.h>
-#include <Formats/BlockOutputStreamFromRowOutputStream.h>
 
 
 namespace DB
 {
 
-JSONRowOutputFormat::JSONRowOutputFormat(WriteBuffer & out_, const Block & header, const FormatSettings & settings_)
+JSONRowOutputFormat::JSONRowOutputFormat(WriteBuffer & out_, const Block & header, FormatFactory::WriteCallback callback, const FormatSettings & settings_)
-    : IRowOutputFormat(header, out_), settings(settings_)
+    : IRowOutputFormat(header, out_, callback), settings(settings_)
 {
     auto & sample = getPort(PortKind::Main).getHeader();
     NamesAndTypesList columns(sample.getNamesAndTypesList());
@@ -248,9 +247,10 @@ void registerOutputFormatProcessorJSON(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & format_settings)
     {
-        return std::make_shared<JSONRowOutputFormat>(buf, sample, format_settings);
+        return std::make_shared<JSONRowOutputFormat>(buf, sample, callback, format_settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/JSONRowOutputFormat.h

@@ -16,7 +16,7 @@ namespace DB
 class JSONRowOutputFormat : public IRowOutputFormat
 {
 public:
-    JSONRowOutputFormat(WriteBuffer & out_, const Block & header, const FormatSettings & settings_);
+    JSONRowOutputFormat(WriteBuffer & out_, const Block & header, FormatFactory::WriteCallback callback, const FormatSettings & settings_);
 
     String getName() const override { return "JSONRowOutputFormat"; }
 
@@ -81,4 +81,3 @@ protected:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/MySQLOutputFormat.cpp

@@ -107,10 +107,12 @@ void MySQLOutputFormat::flush()
 void registerOutputFormatProcessorMySQLWrite(FormatFactory & factory)
 {
     factory.registerOutputFormatProcessor(
-        "MySQLWire", [](WriteBuffer & buf, const Block & sample, const Context & context, const FormatSettings & settings)
+        "MySQLWire",
-        {
+        [](WriteBuffer & buf,
-            return std::make_shared<MySQLOutputFormat>(buf, sample, context, settings);
+           const Block & sample,
-        });
+           const Context & context,
+           FormatFactory::WriteCallback,
+           const FormatSettings & settings) { return std::make_shared<MySQLOutputFormat>(buf, sample, context, settings); });
 }
 
 }

dbms/src/Processors/Formats/Impl/MySQLOutputFormat.h

@@ -40,4 +40,3 @@ private:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/NativeFormat.cpp

@@ -161,6 +161,7 @@ void registerOutputFormatProcessorNative(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings &)
     {
         return std::make_shared<NativeOutputFormatFromNativeBlockOutputStream>(sample, buf);

dbms/src/Processors/Formats/Impl/NullFormat.cpp

@@ -22,6 +22,7 @@ void registerOutputFormatProcessorNull(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings &)
     {
         return std::make_shared<NullOutputFormat>(sample, buf);

dbms/src/Processors/Formats/Impl/ODBCDriver2BlockOutputFormat.cpp

@@ -107,7 +107,7 @@ void ODBCDriver2BlockOutputFormat::writePrefix()
 void registerOutputFormatProcessorODBCDriver2(FormatFactory & factory)
 {
     factory.registerOutputFormatProcessor(
-        "ODBCDriver2", [](WriteBuffer & buf, const Block & sample, const Context &, const FormatSettings & format_settings)
+        "ODBCDriver2", [](WriteBuffer & buf, const Block & sample, const Context &, FormatFactory::WriteCallback, const FormatSettings & format_settings)
         {
             return std::make_shared<ODBCDriver2BlockOutputFormat>(buf, sample, format_settings);
         });

dbms/src/Processors/Formats/Impl/ODBCDriverBlockOutputFormat.cpp

@@ -70,6 +70,7 @@ void registerOutputFormatProcessorODBCDriver(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         return std::make_shared<ODBCDriverBlockOutputFormat>(buf, sample, format_settings);

dbms/src/Processors/Formats/Impl/ParquetBlockOutputFormat.cpp

@@ -423,7 +423,12 @@ void ParquetBlockOutputFormat::finalize()
 void registerOutputFormatProcessorParquet(FormatFactory & factory)
 {
     factory.registerOutputFormatProcessor(
-        "Parquet", [](WriteBuffer & buf, const Block & sample, const Context & /*context*/, const FormatSettings & format_settings)
+        "Parquet",
+        [](WriteBuffer & buf,
+           const Block & sample,
+           const Context & /*context*/,
+           FormatFactory::WriteCallback,
+           const FormatSettings & format_settings)
         {
             auto impl = std::make_shared<ParquetBlockOutputFormat>(buf, sample, format_settings);
             /// TODO

dbms/src/Processors/Formats/Impl/PrettyBlockOutputFormat.cpp

@@ -261,6 +261,7 @@ void registerOutputFormatProcessorPretty(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         return std::make_shared<PrettyBlockOutputFormat>(buf, sample, format_settings);
@@ -270,6 +271,7 @@ void registerOutputFormatProcessorPretty(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         FormatSettings changed_settings = format_settings;

dbms/src/Processors/Formats/Impl/PrettyCompactBlockOutputFormat.cpp

@@ -134,6 +134,7 @@ void registerOutputFormatProcessorPrettyCompact(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         return std::make_shared<PrettyCompactBlockOutputFormat>(buf, sample, format_settings);
@@ -143,6 +144,7 @@ void registerOutputFormatProcessorPrettyCompact(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         FormatSettings changed_settings = format_settings;

dbms/src/Processors/Formats/Impl/PrettySpaceBlockOutputFormat.cpp

@@ -103,6 +103,7 @@ void registerOutputFormatProcessorPrettySpace(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         return std::make_shared<PrettySpaceBlockOutputFormat>(buf, sample, format_settings);
@@ -112,6 +113,7 @@ void registerOutputFormatProcessorPrettySpace(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback,
         const FormatSettings & format_settings)
     {
         FormatSettings changed_settings = format_settings;

dbms/src/Processors/Formats/Impl/ProtobufRowOutputFormat.cpp

@@ -23,8 +23,9 @@ namespace ErrorCodes
 ProtobufRowOutputFormat::ProtobufRowOutputFormat(
     WriteBuffer & out_,
     const Block & header,
+    FormatFactory::WriteCallback callback,
     const FormatSchemaInfo & format_schema)
-    : IRowOutputFormat(header, out_)
+    : IRowOutputFormat(header, out_, callback)
     , data_types(header.getDataTypes())
     , writer(out, ProtobufSchemas::instance().getMessageTypeForFormatSchema(format_schema), header.getNames())
 {
@@ -46,9 +47,14 @@ void ProtobufRowOutputFormat::write(const Columns & columns, size_t row_num)
 void registerOutputFormatProcessorProtobuf(FormatFactory & factory)
 {
     factory.registerOutputFormatProcessor(
-        "Protobuf", [](WriteBuffer & buf, const Block & header, const Context & context, const FormatSettings &)
+        "Protobuf",
+        [](WriteBuffer & buf,
+           const Block & header,
+           const Context & context,
+           FormatFactory::WriteCallback callback,
+           const FormatSettings &)
         {
-            return std::make_shared<ProtobufRowOutputFormat>(buf, header, FormatSchemaInfo(context, "Protobuf"));
+            return std::make_shared<ProtobufRowOutputFormat>(buf, header, callback, FormatSchemaInfo(context, "Protobuf"));
         });
 }
 

dbms/src/Processors/Formats/Impl/ProtobufRowOutputFormat.h

@@ -35,6 +35,7 @@ public:
     ProtobufRowOutputFormat(
         WriteBuffer & out_,
         const Block & header,
+        FormatFactory::WriteCallback callback,
         const FormatSchemaInfo & format_schema);
 
     String getName() const override { return "ProtobufRowOutputFormat"; }

dbms/src/Processors/Formats/Impl/TSKVRowOutputFormat.cpp

@@ -8,8 +8,8 @@
 namespace DB
 {
 
-TSKVRowOutputFormat::TSKVRowOutputFormat(WriteBuffer & out_, const Block & header, const FormatSettings & format_settings_)
+TSKVRowOutputFormat::TSKVRowOutputFormat(WriteBuffer & out_, const Block & header, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_)
-    : TabSeparatedRowOutputFormat(out_, header, false, false, format_settings_)
+    : TabSeparatedRowOutputFormat(out_, header, false, false, callback, format_settings_)
 {
     auto & sample = getPort(PortKind::Main).getHeader();
     NamesAndTypesList columns(sample.getNamesAndTypesList());
@@ -46,9 +46,10 @@ void registerOutputFormatProcessorTSKV(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & settings)
     {
-        return std::make_shared<TSKVRowOutputFormat>(buf, sample, settings);
+        return std::make_shared<TSKVRowOutputFormat>(buf, sample, callback, settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/TSKVRowOutputFormat.h

@@ -14,7 +14,7 @@ namespace DB
 class TSKVRowOutputFormat: public TabSeparatedRowOutputFormat
 {
 public:
-    TSKVRowOutputFormat(WriteBuffer & out_, const Block & header, const FormatSettings & format_settings);
+    TSKVRowOutputFormat(WriteBuffer & out_, const Block & header, FormatFactory::WriteCallback callback, const FormatSettings & format_settings);
 
     String getName() const override { return "TSKVRowOutputFormat"; }
 
@@ -27,4 +27,3 @@ protected:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/TabSeparatedRawRowOutputFormat.h

@@ -13,8 +13,16 @@ namespace DB
 class TabSeparatedRawRowOutputFormat : public TabSeparatedRowOutputFormat
 {
 public:
-    TabSeparatedRawRowOutputFormat(WriteBuffer & out_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings_)
+    TabSeparatedRawRowOutputFormat(
-        : TabSeparatedRowOutputFormat(out_, header_, with_names_, with_types_, format_settings_) {}
+        WriteBuffer & out_,
+        const Block & header_,
+        bool with_names_,
+        bool with_types_,
+        FormatFactory::WriteCallback callback,
+        const FormatSettings & format_settings_)
+        : TabSeparatedRowOutputFormat(out_, header_, with_names_, with_types_, callback, format_settings_)
+    {
+    }
 
     String getName() const override { return "TabSeparatedRawRowOutputFormat"; }
 
@@ -25,4 +33,3 @@ public:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/TabSeparatedRowOutputFormat.cpp

@@ -6,10 +6,14 @@
 
 namespace DB
 {
-
 TabSeparatedRowOutputFormat::TabSeparatedRowOutputFormat(
-    WriteBuffer & out_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings_)
+    WriteBuffer & out_,
-    : IRowOutputFormat(header_, out_), with_names(with_names_), with_types(with_types_), format_settings(format_settings_)
+    const Block & header_,
+    bool with_names_,
+    bool with_types_,
+    FormatFactory::WriteCallback callback,
+    const FormatSettings & format_settings_)
+    : IRowOutputFormat(header_, out_, callback), with_names(with_names_), with_types(with_types_), format_settings(format_settings_)
 {
 }
 
@@ -75,9 +79,10 @@ void registerOutputFormatProcessorTabSeparated(FormatFactory & factory)
             WriteBuffer & buf,
             const Block & sample,
             const Context &,
+            FormatFactory::WriteCallback callback,
             const FormatSettings & settings)
         {
-            return std::make_shared<TabSeparatedRowOutputFormat>(buf, sample, false, false, settings);
+            return std::make_shared<TabSeparatedRowOutputFormat>(buf, sample, false, false, callback, settings);
         });
     }
 
@@ -87,9 +92,10 @@ void registerOutputFormatProcessorTabSeparated(FormatFactory & factory)
             WriteBuffer & buf,
             const Block & sample,
             const Context &,
+            FormatFactory::WriteCallback callback,
             const FormatSettings & settings)
         {
-            return std::make_shared<TabSeparatedRawRowOutputFormat>(buf, sample, false, false, settings);
+            return std::make_shared<TabSeparatedRawRowOutputFormat>(buf, sample, false, false, callback, settings);
         });
     }
 
@@ -99,9 +105,10 @@ void registerOutputFormatProcessorTabSeparated(FormatFactory & factory)
             WriteBuffer & buf,
             const Block & sample,
             const Context &,
+            FormatFactory::WriteCallback callback,
             const FormatSettings & settings)
         {
-            return std::make_shared<TabSeparatedRowOutputFormat>(buf, sample, true, false, settings);
+            return std::make_shared<TabSeparatedRowOutputFormat>(buf, sample, true, false, callback, settings);
         });
     }
 
@@ -111,9 +118,10 @@ void registerOutputFormatProcessorTabSeparated(FormatFactory & factory)
             WriteBuffer & buf,
             const Block & sample,
             const Context &,
+            FormatFactory::WriteCallback callback,
             const FormatSettings & settings)
         {
-            return std::make_shared<TabSeparatedRowOutputFormat>(buf, sample, true, true, settings);
+            return std::make_shared<TabSeparatedRowOutputFormat>(buf, sample, true, true, callback, settings);
         });
     }
 }

dbms/src/Processors/Formats/Impl/TabSeparatedRowOutputFormat.h

@@ -18,7 +18,13 @@ public:
     /** with_names - output in the first line a header with column names
       * with_types - output the next line header with the names of the types
       */
-    TabSeparatedRowOutputFormat(WriteBuffer & out_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings_);
+    TabSeparatedRowOutputFormat(
+        WriteBuffer & out_,
+        const Block & header_,
+        bool with_names_,
+        bool with_types_,
+        FormatFactory::WriteCallback callback,
+        const FormatSettings & format_settings_);
 
     String getName() const override { return "TabSeparatedRowOutputFormat"; }
 
@@ -40,4 +46,3 @@ protected:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/ValuesRowOutputFormat.cpp

@@ -10,8 +10,8 @@ namespace DB
 {
 
 
-ValuesRowOutputFormat::ValuesRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & format_settings_)
+ValuesRowOutputFormat::ValuesRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_)
-    : IRowOutputFormat(header_, out_), format_settings(format_settings_)
+    : IRowOutputFormat(header_, out_, callback), format_settings(format_settings_)
 {
 }
 
@@ -47,9 +47,10 @@ void registerOutputFormatProcessorValues(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & settings)
     {
-        return std::make_shared<ValuesRowOutputFormat>(buf, sample, settings);
+        return std::make_shared<ValuesRowOutputFormat>(buf, sample, callback, settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/ValuesRowOutputFormat.h

@@ -15,7 +15,7 @@ class WriteBuffer;
 class ValuesRowOutputFormat : public IRowOutputFormat
 {
 public:
-    ValuesRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & format_settings_);
+    ValuesRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_);
 
     String getName() const override { return "ValuesRowOutputFormat"; }
 
@@ -30,4 +30,3 @@ private:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/VerticalRowOutputFormat.cpp

@@ -11,8 +11,8 @@ namespace DB
 {
 
 VerticalRowOutputFormat::VerticalRowOutputFormat(
-    WriteBuffer & out_, const Block & header_, const FormatSettings & format_settings_)
+    WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_)
-    : IRowOutputFormat(header_, out_), format_settings(format_settings_)
+    : IRowOutputFormat(header_, out_, callback), format_settings(format_settings_)
 {
     auto & sample = getPort(PortKind::Main).getHeader();
     size_t columns = sample.columns();
@@ -169,9 +169,10 @@ void registerOutputFormatProcessorVertical(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & settings)
     {
-        return std::make_shared<VerticalRowOutputFormat>(buf, sample, settings);
+        return std::make_shared<VerticalRowOutputFormat>(buf, sample, callback, settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/VerticalRowOutputFormat.h

@@ -18,7 +18,7 @@ class Context;
 class VerticalRowOutputFormat : public IRowOutputFormat
 {
 public:
-    VerticalRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & format_settings_);
+    VerticalRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_);
 
     String getName() const override { return "VerticalRowOutputFormat"; }
 
@@ -50,4 +50,3 @@ protected:
 };
 
 }
-

dbms/src/Processors/Formats/Impl/XMLRowOutputFormat.cpp

@@ -7,8 +7,8 @@
 namespace DB
 {
 
-XMLRowOutputFormat::XMLRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & format_settings_)
+XMLRowOutputFormat::XMLRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_)
-    : IRowOutputFormat(header_, out_), format_settings(format_settings_)
+    : IRowOutputFormat(header_, out_, callback), format_settings(format_settings_)
 {
     auto & sample = getPort(PortKind::Main).getHeader();
     NamesAndTypesList columns(sample.getNamesAndTypesList());
@@ -246,9 +246,10 @@ void registerOutputFormatProcessorXML(FormatFactory & factory)
         WriteBuffer & buf,
         const Block & sample,
         const Context &,
+        FormatFactory::WriteCallback callback,
         const FormatSettings & settings)
     {
-        return std::make_shared<XMLRowOutputFormat>(buf, sample, settings);
+        return std::make_shared<XMLRowOutputFormat>(buf, sample, callback, settings);
     });
 }
 

dbms/src/Processors/Formats/Impl/XMLRowOutputFormat.h

@@ -16,7 +16,7 @@ namespace DB
 class XMLRowOutputFormat : public IRowOutputFormat
 {
 public:
-    XMLRowOutputFormat(WriteBuffer & out_, const Block & header_, const FormatSettings & format_settings_);
+    XMLRowOutputFormat(WriteBuffer & out_, const Block & header_, FormatFactory::WriteCallback callback, const FormatSettings & format_settings_);
 
     String getName() const override { return "XMLRowOutputFormat"; }
 
@@ -75,4 +75,3 @@ protected:
 };
 
 }
-

dbms/src/Storages/Kafka/KafkaBlockInputStream.cpp

@@ -33,7 +33,7 @@ KafkaBlockInputStream::~KafkaBlockInputStream()
         buffer->reset();
     }
 
-    storage.pushBuffer(buffer);
+    storage.pushReadBuffer(buffer);
 }
 
 Block KafkaBlockInputStream::getHeader() const
@@ -43,11 +43,12 @@ Block KafkaBlockInputStream::getHeader() const
 
 void KafkaBlockInputStream::readPrefixImpl()
 {
-    buffer = storage.tryClaimBuffer(context.getSettingsRef().queue_max_wait_ms.totalMilliseconds());
+    auto timeout = std::chrono::milliseconds(context.getSettingsRef().queue_max_wait_ms.totalMilliseconds());
+    buffer = storage.popReadBuffer(timeout);
     claimed = !!buffer;
 
     if (!buffer)
-        buffer = storage.createBuffer();
+        return;
 
     buffer->subBufferAs<ReadBufferFromKafkaConsumer>()->subscribe(storage.getTopics());
 
@@ -80,6 +81,9 @@ void KafkaBlockInputStream::readPrefixImpl()
 
 Block KafkaBlockInputStream::readImpl()
 {
+    if (!buffer)
+        return Block();
+
     Block block = children.back()->read();
     if (!block)
         return block;
@@ -99,6 +103,9 @@ Block KafkaBlockInputStream::readImpl()
 
 void KafkaBlockInputStream::readSuffixImpl()
 {
+    if (!buffer)
+        return;
+
     buffer->subBufferAs<ReadBufferFromKafkaConsumer>()->commit();
 
     broken = false;

dbms/src/Storages/Kafka/KafkaBlockInputStream.h

@@ -27,7 +27,7 @@ private:
     Names column_names;
     UInt64 max_block_size;
 
-    BufferPtr buffer;
+    ConsumerBufferPtr buffer;
     MutableColumns virtual_columns;
     bool broken = true, claimed = false;
 };

dbms/src/Storages/Kafka/KafkaBlockOutputStream.cpp

@@ -0,0 +1,54 @@
+#include "KafkaBlockOutputStream.h"
+
+#include <Formats/FormatFactory.h>
+
+namespace DB
+{
+
+namespace ErrorCodes
+{
+
+extern int CANNOT_CREATE_IO_BUFFER;
+
+}
+
+KafkaBlockOutputStream::KafkaBlockOutputStream(StorageKafka & storage_, const Context & context_) : storage(storage_), context(context_)
+{
+}
+
+KafkaBlockOutputStream::~KafkaBlockOutputStream()
+{
+}
+
+Block KafkaBlockOutputStream::getHeader() const
+{
+    return storage.getSampleBlockNonMaterialized();
+}
+
+void KafkaBlockOutputStream::writePrefix()
+{
+    buffer = storage.createWriteBuffer();
+    if (!buffer)
+        throw Exception("Failed to create Kafka producer!", ErrorCodes::CANNOT_CREATE_IO_BUFFER);
+
+    child = FormatFactory::instance().getOutput(storage.getFormatName(), *buffer, getHeader(), context, [this]{ buffer->count_row(); });
+}
+
+void KafkaBlockOutputStream::write(const Block & block)
+{
+    child->write(block);
+}
+
+void KafkaBlockOutputStream::writeSuffix()
+{
+    child->writeSuffix();
+    flush();
+}
+
+void KafkaBlockOutputStream::flush()
+{
+    if (buffer)
+        buffer->flush();
+}
+
+}

dbms/src/Storages/Kafka/KafkaBlockOutputStream.h

@@ -0,0 +1,31 @@
+#pragma once
+
+#include <DataStreams/IBlockOutputStream.h>
+#include <Interpreters/Context.h>
+#include <Storages/Kafka/StorageKafka.h>
+
+namespace DB
+{
+
+class KafkaBlockOutputStream : public IBlockOutputStream
+{
+public:
+    explicit KafkaBlockOutputStream(StorageKafka & storage_, const Context & context_);
+    ~KafkaBlockOutputStream() override;
+
+    Block getHeader() const override;
+
+    void writePrefix() override;
+    void write(const Block & block) override;
+    void writeSuffix() override;
+
+    void flush() override;
+
+private:
+    StorageKafka & storage;
+    Context context;
+    ProducerBufferPtr buffer;
+    BlockOutputStreamPtr child;
+};
+
+}

dbms/src/Storages/Kafka/ReadBufferFromKafkaConsumer.h

@@ -10,7 +10,7 @@
 namespace DB
 {
 
-using BufferPtr = std::shared_ptr<DelimitedReadBuffer>;
+using ConsumerBufferPtr = std::shared_ptr<DelimitedReadBuffer>;
 using ConsumerPtr = std::shared_ptr<cppkafka::Consumer>;
 
 class ReadBufferFromKafkaConsumer : public ReadBuffer

dbms/src/Storages/Kafka/StorageKafka.cpp

@@ -16,6 +16,7 @@
 #include <Parsers/ASTLiteral.h>
 #include <Storages/Kafka/KafkaSettings.h>
 #include <Storages/Kafka/KafkaBlockInputStream.h>
+#include <Storages/Kafka/KafkaBlockOutputStream.h>
 #include <Storages/StorageFactory.h>
 #include <Storages/StorageMaterializedView.h>
 #include <boost/algorithm/string/replace.hpp>
@@ -106,7 +107,7 @@ StorageKafka::StorageKafka(
     , skip_broken(skip_broken_)
     , intermediate_commit(intermediate_commit_)
 {
-    task = global_context.getSchedulePool().createTask(log->name(), [this]{ streamThread(); });
+    task = global_context.getSchedulePool().createTask(log->name(), [this]{ threadFunc(); });
     task->deactivate();
 }
 
@@ -140,14 +141,21 @@ BlockInputStreams StorageKafka::read(
 }
 
 
+BlockOutputStreamPtr StorageKafka::write(const ASTPtr &, const Context & context)
+{
+    if (topics.size() > 1)
+        throw Exception("Can't write to Kafka table with multiple topics!", ErrorCodes::NOT_IMPLEMENTED);
+    return std::make_shared<KafkaBlockOutputStream>(*this, context);
+}
+
+
 void StorageKafka::startup()
 {
     for (size_t i = 0; i < num_consumers; ++i)
     {
-        // Make buffer available
         try
         {
-            pushBuffer(createBuffer());
+            pushReadBuffer(createReadBuffer());
             ++num_created_consumers;
         }
         catch (const cppkafka::Exception &)
@@ -169,7 +177,7 @@ void StorageKafka::shutdown()
     // Close all consumers
     for (size_t i = 0; i < num_created_consumers; ++i)
     {
-        auto buffer = claimBuffer();
+        auto buffer = popReadBuffer();
         // FIXME: not sure if we really close consumers here, and if we really need to close them here.
     }
 
@@ -193,10 +201,70 @@ void StorageKafka::updateDependencies()
 }
 
 
-BufferPtr StorageKafka::createBuffer()
+void StorageKafka::pushReadBuffer(ConsumerBufferPtr buffer)
 {
+    std::lock_guard lock(mutex);
+    buffers.push_back(buffer);
+    semaphore.set();
+}
+
+
+ConsumerBufferPtr StorageKafka::popReadBuffer()
+{
+    return popReadBuffer(std::chrono::milliseconds::zero());
+}
+
+
+ConsumerBufferPtr StorageKafka::popReadBuffer(std::chrono::milliseconds timeout)
+{
+    // Wait for the first free buffer
+    if (timeout == std::chrono::milliseconds::zero())
+        semaphore.wait();
+    else
+    {
+        if (!semaphore.tryWait(timeout.count()))
+            return nullptr;
+    }
+
+    // Take the first available buffer from the list
+    std::lock_guard lock(mutex);
+    auto buffer = buffers.back();
+    buffers.pop_back();
+    return buffer;
+}
+
+
+ProducerBufferPtr StorageKafka::createWriteBuffer()
+{
+    cppkafka::Configuration conf;
+    conf.set("metadata.broker.list", brokers);
+    conf.set("group.id", group);
+    conf.set("client.id", VERSION_FULL);
+    // TODO: fill required settings
+    updateConfiguration(conf);
+
+    auto producer = std::make_shared<cppkafka::Producer>(conf);
+    const Settings & settings = global_context.getSettingsRef();
+    size_t poll_timeout = settings.stream_poll_timeout_ms.totalMilliseconds();
+
+    return std::make_shared<WriteBufferToKafkaProducer>(
+        producer, topics[0], row_delimiter ? std::optional<char>{row_delimiter} : std::optional<char>(), 1, 1024, std::chrono::milliseconds(poll_timeout));
+}
+
+
+ConsumerBufferPtr StorageKafka::createReadBuffer()
+{
+    cppkafka::Configuration conf;
+    conf.set("metadata.broker.list", brokers);
+    conf.set("group.id", group);
+    conf.set("client.id", VERSION_FULL);
+    conf.set("auto.offset.reset", "smallest"); // If no offset stored for this group, read all messages from the start
+    conf.set("enable.auto.commit", "false"); // We manually commit offsets after a stream successfully finished
+    conf.set("enable.partition.eof", "false"); // Ignore EOF messages
+    updateConfiguration(conf);
+
     // Create a consumer and subscribe to topics
-    auto consumer = std::make_shared<cppkafka::Consumer>(createConsumerConfiguration());
+    auto consumer = std::make_shared<cppkafka::Consumer>(conf);
 
     // Limit the number of batched messages to allow early cancellations
     const Settings & settings = global_context.getSettingsRef();
@@ -209,61 +277,9 @@ BufferPtr StorageKafka::createBuffer()
         std::make_unique<ReadBufferFromKafkaConsumer>(consumer, log, batch_size, poll_timeout, intermediate_commit), row_delimiter);
 }
 
-BufferPtr StorageKafka::claimBuffer()
+
+void StorageKafka::updateConfiguration(cppkafka::Configuration & conf)
 {
-    return tryClaimBuffer(-1L);
-}
-
-BufferPtr StorageKafka::tryClaimBuffer(long wait_ms)
-{
-    // Wait for the first free buffer
-    if (wait_ms >= 0)
-    {
-        if (!semaphore.tryWait(wait_ms))
-            return nullptr;
-    }
-    else
-        semaphore.wait();
-
-    // Take the first available buffer from the list
-    std::lock_guard lock(mutex);
-    auto buffer = buffers.back();
-    buffers.pop_back();
-    return buffer;
-}
-
-void StorageKafka::pushBuffer(BufferPtr buffer)
-{
-    std::lock_guard lock(mutex);
-    buffers.push_back(buffer);
-    semaphore.set();
-}
-
-
-cppkafka::Configuration StorageKafka::createConsumerConfiguration()
-{
-    cppkafka::Configuration conf;
-
-    LOG_TRACE(log, "Setting brokers: " << brokers);
-    conf.set("metadata.broker.list", brokers);
-
-    LOG_TRACE(log, "Setting Group ID: " << group << " Client ID: clickhouse");
-    conf.set("group.id", group);
-
-    conf.set("client.id", VERSION_FULL);
-
-    // If no offset stored for this group, read all messages from the start
-    conf.set("auto.offset.reset", "smallest");
-
-    // We manually commit offsets after a stream successfully finished
-    conf.set("enable.auto.commit", "false");
-
-    // Ignore EOF messages
-    conf.set("enable.partition.eof", "false");
-
-    // for debug logs inside rdkafka
-    // conf.set("debug", "consumer,cgrp,topic,fetch");
-
     // Update consumer configuration from the configuration
     const auto & config = global_context.getConfigRef();
     if (config.has(CONFIG_PREFIX))
@@ -276,8 +292,6 @@ cppkafka::Configuration StorageKafka::createConsumerConfiguration()
         if (config.has(topic_config_key))
             loadFromConfig(conf, config, topic_config_key);
     }
-
-    return conf;
 }
 
 bool StorageKafka::checkDependencies(const String & current_database_name, const String & current_table_name)
@@ -307,7 +321,7 @@ bool StorageKafka::checkDependencies(const String & current_database_name, const
     return true;
 }
 
-void StorageKafka::streamThread()
+void StorageKafka::threadFunc()
 {
     try
     {

dbms/src/Storages/Kafka/StorageKafka.h

@@ -5,11 +5,11 @@
 #include <DataStreams/IBlockOutputStream.h>
 #include <Storages/IStorage.h>
 #include <Storages/Kafka/ReadBufferFromKafkaConsumer.h>
-#include <Poco/Event.h>
+#include <Storages/Kafka/WriteBufferToKafkaProducer.h>
+
 #include <Poco/Semaphore.h>
 #include <ext/shared_ptr_helper.h>
 
-#include <cppkafka/cppkafka.h>
 #include <mutex>
 
 namespace DB
@@ -36,14 +36,20 @@ public:
         size_t max_block_size,
         unsigned num_streams) override;
 
+    BlockOutputStreamPtr write(
+        const ASTPtr & query,
+        const Context & context
+    ) override;
+
     void rename(const String & /* new_path_to_db */, const String & new_database_name, const String & new_table_name) override;
 
     void updateDependencies() override;
 
-    BufferPtr createBuffer();
+    void pushReadBuffer(ConsumerBufferPtr buf);
-    BufferPtr claimBuffer();
+    ConsumerBufferPtr popReadBuffer();
-    BufferPtr tryClaimBuffer(long wait_ms);
+    ConsumerBufferPtr popReadBuffer(std::chrono::milliseconds timeout);
-    void pushBuffer(BufferPtr buf);
+
+    ProducerBufferPtr createWriteBuffer();
 
     const auto & getTopics() const { return topics; }
     const auto & getFormatName() const { return format_name; }
@@ -84,7 +90,7 @@ private:
     // Consumer list
     Poco::Semaphore semaphore;
     std::mutex mutex;
-    std::vector<BufferPtr> buffers; /// available buffers for Kafka consumers
+    std::vector<ConsumerBufferPtr> buffers; /// available buffers for Kafka consumers
 
     size_t skip_broken;
 
@@ -94,9 +100,12 @@ private:
     BackgroundSchedulePool::TaskHolder task;
     std::atomic<bool> stream_cancelled{false};
 
-    cppkafka::Configuration createConsumerConfiguration();
+    ConsumerBufferPtr createReadBuffer();
 
-    void streamThread();
+    // Update Kafka configuration with values from CH user configuration.
+    void updateConfiguration(cppkafka::Configuration & conf);
+
+    void threadFunc();
     bool streamToViews();
     bool checkDependencies(const String & database_name, const String & table_name);
 };

dbms/src/Storages/Kafka/WriteBufferToKafkaProducer.cpp

@@ -0,0 +1,90 @@
+#include "WriteBufferToKafkaProducer.h"
+
+namespace DB
+{
+WriteBufferToKafkaProducer::WriteBufferToKafkaProducer(
+    ProducerPtr producer_,
+    const std::string & topic_,
+    std::optional<char> delimiter,
+    size_t rows_per_message,
+    size_t chunk_size_,
+    std::chrono::milliseconds poll_timeout)
+    : WriteBuffer(nullptr, 0)
+    , producer(producer_)
+    , topic(topic_)
+    , delim(delimiter)
+    , max_rows(rows_per_message)
+    , chunk_size(chunk_size_)
+    , timeout(poll_timeout)
+{
+}
+
+WriteBufferToKafkaProducer::~WriteBufferToKafkaProducer()
+{
+    assert(rows == 0 && chunks.empty());
+}
+
+void WriteBufferToKafkaProducer::count_row()
+{
+    if (++rows % max_rows == 0)
+    {
+        std::string payload;
+        payload.reserve((chunks.size() - 1) * chunk_size + offset());
+        for (auto i = chunks.begin(), e = --chunks.end(); i != e; ++i)
+            payload.append(*i);
+        int trunk_delim = delim && chunks.back()[offset() - 1] == delim ? 1 : 0;
+        payload.append(chunks.back(), 0, offset() - trunk_delim);
+
+        while (true)
+        {
+            try
+            {
+                producer->produce(cppkafka::MessageBuilder(topic).payload(payload));
+            }
+            catch (cppkafka::HandleException & e)
+            {
+                if (e.get_error() == RD_KAFKA_RESP_ERR__QUEUE_FULL)
+                {
+                    producer->poll(timeout);
+                    continue;
+                }
+                throw e;
+            }
+
+            break;
+        }
+
+        rows = 0;
+        chunks.clear();
+        set(nullptr, 0);
+    }
+}
+
+void WriteBufferToKafkaProducer::flush()
+{
+    // For unknown reason we may hit some internal timeout when inserting for the first time.
+    while (true)
+    {
+        try
+        {
+            producer->flush(timeout);
+        }
+        catch (cppkafka::HandleException & e)
+        {
+            if (e.get_error() == RD_KAFKA_RESP_ERR__TIMED_OUT)
+                continue;
+            throw e;
+        }
+
+        break;
+    }
+}
+
+void WriteBufferToKafkaProducer::nextImpl()
+{
+    chunks.push_back(std::string());
+    chunks.back().resize(chunk_size);
+    set(chunks.back().data(), chunk_size);
+}
+
+}

dbms/src/Storages/Kafka/WriteBufferToKafkaProducer.h

@@ -0,0 +1,46 @@
+#pragma once
+
+#include <IO/WriteBuffer.h>
+
+#include <cppkafka/cppkafka.h>
+
+#include <list>
+
+namespace DB
+{
+
+class WriteBufferToKafkaProducer;
+
+using ProducerBufferPtr = std::shared_ptr<WriteBufferToKafkaProducer>;
+using ProducerPtr = std::shared_ptr<cppkafka::Producer>;
+
+class WriteBufferToKafkaProducer : public WriteBuffer
+{
+public:
+    WriteBufferToKafkaProducer(
+        ProducerPtr producer_,
+        const std::string & topic_,
+        std::optional<char> delimiter,
+        size_t rows_per_message,
+        size_t chunk_size_,
+        std::chrono::milliseconds poll_timeout);
+    ~WriteBufferToKafkaProducer() override;
+
+    void count_row();
+    void flush();
+
+private:
+    void nextImpl() override;
+
+    ProducerPtr producer;
+    const std::string topic;
+    const std::optional<char> delim;
+    const size_t max_rows;
+    const size_t chunk_size;
+    const std::chrono::milliseconds timeout;
+
+    size_t rows = 0;
+    std::list<std::string> chunks;
+};
+
+}

dbms/src/Storages/MergeTree/KeyCondition.cpp

@@ -546,11 +546,13 @@ bool KeyCondition::tryPrepareSetIndex(
         }
     };
 
+    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;
-        for (size_t i = 0; i < tuple_elements.size(); ++i)
+        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
@@ -577,6 +579,10 @@ bool KeyCondition::tryPrepareSetIndex(
     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, removeLowCardinality(data_types[i]));
+
     out.set_index = std::make_shared<MergeTreeSetIndex>(prepared_set->getSetElements(), std::move(indexes_mapping));
 
     return true;

dbms/src/Storages/StorageDistributed.cpp

@@ -176,6 +176,22 @@ IColumn::Selector createSelector(const ClusterPtr cluster, const ColumnWithTypeA
     throw Exception{"Sharding key expression does not evaluate to an integer type", ErrorCodes::TYPE_MISMATCH};
 }
 
+std::string makeFormattedListOfShards(const ClusterPtr & cluster)
+{
+    std::ostringstream os;
+
+    bool head = true;
+    os << "[";
+    for (const auto & shard_info : cluster->getShardsInfo())
+    {
+        (head ? os : os << ", ") << shard_info.shard_num;
+        head = false;
+    }
+    os << "]";
+
+    return os.str();
+}
+
 }
 
 
@@ -312,10 +328,23 @@ BlockInputStreams StorageDistributed::read(
 
     if (settings.optimize_skip_unused_shards)
     {
-        auto smaller_cluster = skipUnusedShards(cluster, query_info);
+        if (has_sharding_key)
+        {
+            auto smaller_cluster = skipUnusedShards(cluster, query_info);
 
-        if (smaller_cluster)
+            if (smaller_cluster)
-            cluster = smaller_cluster;
+            {
+                cluster = smaller_cluster;
+                LOG_DEBUG(log, "Reading from " << database_name << "." << table_name << ": "
+                               "Skipping irrelevant shards - the query will be sent to the following shards of the cluster (shard numbers): "
+                               " " << makeFormattedListOfShards(cluster));
+            }
+            else
+            {
+                LOG_DEBUG(log, "Reading from " << database_name << "." << table_name << ": "
+                               "Unable to figure out irrelevant shards from WHERE/PREWHERE clauses - the query will be sent to all shards of the cluster");
+            }
+        }
     }
 
     return ClusterProxy::executeQuery(
@@ -488,15 +517,32 @@ void StorageDistributed::ClusterNodeData::shutdownAndDropAllData()
 }
 
 /// Returns a new cluster with fewer shards if constant folding for `sharding_key_expr` is possible
-/// using constraints from "WHERE" condition, otherwise returns `nullptr`
+/// using constraints from "PREWHERE" and "WHERE" conditions, otherwise returns `nullptr`
 ClusterPtr StorageDistributed::skipUnusedShards(ClusterPtr cluster, const SelectQueryInfo & query_info)
 {
+    if (!has_sharding_key)
+    {
+        throw Exception("Internal error: cannot determine shards of a distributed table if no sharding expression is supplied", ErrorCodes::LOGICAL_ERROR);
+    }
+
     const auto & select = query_info.query->as<ASTSelectQuery &>();
 
-    if (!select.where() || !sharding_key_expr)
+    if (!select.prewhere() && !select.where())
+    {
         return nullptr;
+    }
 
-    const auto & blocks = evaluateExpressionOverConstantCondition(select.where(), sharding_key_expr);
+    ASTPtr condition_ast;
+    if (select.prewhere() && select.where())
+    {
+        condition_ast = makeASTFunction("and", select.prewhere()->clone(), select.where()->clone());
+    }
+    else
+    {
+        condition_ast = select.prewhere() ? select.prewhere()->clone() : select.where()->clone();
+    }
+
+    const auto blocks = evaluateExpressionOverConstantCondition(condition_ast, sharding_key_expr);
 
     // Can't get definite answer if we can skip any shards
     if (!blocks)

dbms/src/Storages/StorageReplicatedMergeTree.cpp

@@ -1956,10 +1956,37 @@ void StorageReplicatedMergeTree::cloneReplica(const String & source_replica, Coo
     }
 
     /// Add to the queue jobs to receive all the active parts that the reference/master replica has.
-    Strings parts = zookeeper->getChildren(source_path + "/parts");
+    Strings source_replica_parts = zookeeper->getChildren(source_path + "/parts");
-    ActiveDataPartSet active_parts_set(format_version, parts);
+    ActiveDataPartSet active_parts_set(format_version, source_replica_parts);
 
     Strings active_parts = active_parts_set.getParts();
+
+    /// Remove local parts if source replica does not have them, because such parts will never be fetched by other replicas.
+    Strings local_parts_in_zk = zookeeper->getChildren(replica_path + "/parts");
+    Strings parts_to_remove_from_zk;
+    for (const auto & part : local_parts_in_zk)
+    {
+        if (active_parts_set.getContainingPart(part).empty())
+        {
+            queue.remove(zookeeper, part);
+            parts_to_remove_from_zk.emplace_back(part);
+            LOG_WARNING(log, "Source replica does not have part " << part << ". Removing it from ZooKeeper.");
+        }
+    }
+    tryRemovePartsFromZooKeeperWithRetries(parts_to_remove_from_zk);
+
+    auto local_active_parts = getDataParts();
+    DataPartsVector parts_to_remove_from_working_set;
+    for (const auto & part : local_active_parts)
+    {
+        if (active_parts_set.getContainingPart(part->name).empty())
+        {
+            parts_to_remove_from_working_set.emplace_back(part);
+            LOG_WARNING(log, "Source replica does not have part " << part->name << ". Removing it from working set.");
+        }
+    }
+    removePartsFromWorkingSet(parts_to_remove_from_working_set, true);
+
     for (const String & name : active_parts)
     {
         LogEntry log_entry;

dbms/src/Storages/System/StorageSystemPartsBase.cpp

@@ -148,10 +148,9 @@ StoragesInfoStream::StoragesInfoStream(const SelectQueryInfo & query_info, const
 
 StoragesInfo StoragesInfoStream::next()
 {
-    StoragesInfo info;
-
     while (next_row < rows)
     {
+        StoragesInfo info;
 
         info.database = (*database_column)[next_row].get<String>();
         info.table = (*table_column)[next_row].get<String>();
@@ -198,10 +197,10 @@ StoragesInfo StoragesInfoStream::next()
         if (!info.data)
             throw Exception("Unknown engine " + info.engine, ErrorCodes::LOGICAL_ERROR);
 
-        break;
+        return info;
     }
 
-    return info;
+    return {};
 }
 
 BlockInputStreams StorageSystemPartsBase::read(

dbms/tests/integration/test_consistent_parts_after_clone_replica/configs/remote_servers.xml

@@ -0,0 +1,19 @@
+<yandex>
+    <remote_servers>
+        <test_cluster>
+            <shard>
+                <internal_replication>true</internal_replication>
+                <replica>
+                    <default_database>shard_0</default_database>
+                    <host>node1</host>
+                    <port>9000</port>
+                </replica>
+                <replica>
+                    <default_database>shard_0</default_database>
+                    <host>node2</host>
+                    <port>9000</port>
+                </replica>
+            </shard>
+        </test_cluster>
+    </remote_servers>
+</yandex>

dbms/tests/integration/test_consistent_parts_after_clone_replica/test.py

@@ -0,0 +1,60 @@
+import pytest
+
+from helpers.cluster import ClickHouseCluster
+from helpers.network import PartitionManager
+from helpers.test_tools import assert_eq_with_retry
+
+
+def fill_nodes(nodes, shard):
+    for node in nodes:
+        node.query(
+        '''
+        CREATE DATABASE test;
+        CREATE TABLE test_table(date Date, id UInt32)
+        ENGINE = ReplicatedMergeTree('/clickhouse/tables/test{shard}/replicated', '{replica}')
+        ORDER BY id PARTITION BY toYYYYMM(date) 
+        SETTINGS min_replicated_logs_to_keep=3, max_replicated_logs_to_keep=5, cleanup_delay_period=0, cleanup_delay_period_random_add=0;
+        '''.format(shard=shard, replica=node.name))
+
+
+cluster = ClickHouseCluster(__file__)
+node1 = cluster.add_instance('node1', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
+node2 = cluster.add_instance('node2', main_configs=['configs/remote_servers.xml'], with_zookeeper=True)
+
+@pytest.fixture(scope="module")
+def start_cluster():
+    try:
+        cluster.start()
+        fill_nodes([node1, node2], 1)
+        yield cluster
+    except Exception as ex:
+        print ex
+    finally:
+        cluster.shutdown()
+
+
+def test_inconsistent_parts_if_drop_while_replica_not_active(start_cluster):
+    with PartitionManager() as pm:
+        # insert into all replicas
+        for i in range(50):
+            node1.query("INSERT INTO test_table VALUES ('2019-08-16', {})".format(i))
+        assert_eq_with_retry(node2, "SELECT count(*) FROM test_table", node1.query("SELECT count(*) FROM test_table"))
+
+        # disable network on the first replica
+        pm.partition_instances(node1, node2)
+        pm.drop_instance_zk_connections(node1)
+
+        # drop all parts on the second replica
+        node2.query_with_retry("ALTER TABLE test_table DROP PARTITION 201908")
+        assert_eq_with_retry(node2, "SELECT count(*) FROM test_table", "0")
+
+        # insert into the second replica
+        # DROP_RANGE will be removed from the replication log and the first replica will be lost
+        for i in range(50):
+            node2.query("INSERT INTO test_table VALUES ('2019-08-16', {})".format(50 + i))
+
+        # the first replica will be cloned from the second
+        pm.heal_all()
+        assert_eq_with_retry(node1, "SELECT count(*) FROM test_table", node2.query("SELECT count(*) FROM test_table"))
+
+

dbms/tests/integration/test_storage_kafka/test.py

@@ -1,14 +1,17 @@
 import os.path as p
+import random
+import threading
 import time
 import pytest
 
 from helpers.cluster import ClickHouseCluster
 from helpers.test_tools import TSV
+from helpers.client import QueryRuntimeException
 
 import json
 import subprocess
 import kafka.errors
-from kafka import KafkaAdminClient, KafkaProducer
+from kafka import KafkaAdminClient, KafkaProducer, KafkaConsumer
 from google.protobuf.internal.encoder import _VarintBytes
 
 """
@@ -69,6 +72,17 @@ def kafka_produce(topic, messages, timestamp=None):
     print ("Produced {} messages for topic {}".format(len(messages), topic))
 
 
+def kafka_consume(topic):
+    consumer = KafkaConsumer(bootstrap_servers="localhost:9092", auto_offset_reset="earliest")
+    consumer.subscribe(topics=(topic))
+    for toppar, messages in consumer.poll(5000).items():
+        if toppar.topic == topic:
+            for message in messages:
+                yield message.value
+    consumer.unsubscribe()
+    consumer.close()
+
+
 def kafka_produce_protobuf_messages(topic, start_index, num_messages):
     data = ''
     for i in range(start_index, start_index + num_messages):
@@ -490,6 +504,105 @@ def test_kafka_virtual_columns_with_materialized_view(kafka_cluster):
     kafka_check_result(result, True, 'test_kafka_virtual2.reference')
 
 
+def test_kafka_insert(kafka_cluster):
+    instance.query('''
+        CREATE TABLE test.kafka (key UInt64, value UInt64)
+            ENGINE = Kafka
+            SETTINGS kafka_broker_list = 'kafka1:19092',
+                     kafka_topic_list = 'insert1',
+                     kafka_group_name = 'insert1',
+                     kafka_format = 'TSV',
+                     kafka_row_delimiter = '\\n';
+    ''')
+
+    values = []
+    for i in range(50):
+        values.append("({i}, {i})".format(i=i))
+    values = ','.join(values)
+
+    while True:
+        try:
+            instance.query("INSERT INTO test.kafka VALUES {}".format(values))
+            break
+        except QueryRuntimeException as e:
+            if 'Local: Timed out.' in str(e):
+                continue
+            else:
+                raise
+
+    messages = []
+    while True:
+        messages.extend(kafka_consume('insert1'))
+        if len(messages) == 50:
+            break
+
+    result = '\n'.join(messages)
+    kafka_check_result(result, True)
+
+
+def test_kafka_produce_consume(kafka_cluster):
+    instance.query('''
+        CREATE TABLE test.kafka (key UInt64, value UInt64)
+            ENGINE = Kafka
+            SETTINGS kafka_broker_list = 'kafka1:19092',
+                     kafka_topic_list = 'insert2',
+                     kafka_group_name = 'insert2',
+                     kafka_format = 'TSV',
+                     kafka_row_delimiter = '\\n';
+    ''')
+
+    messages_num = 10000
+    def insert():
+        values = []
+        for i in range(messages_num):
+            values.append("({i}, {i})".format(i=i))
+        values = ','.join(values)
+
+        while True:
+            try:
+                instance.query("INSERT INTO test.kafka VALUES {}".format(values))
+                break
+            except QueryRuntimeException as e:
+                if 'Local: Timed out.' in str(e):
+                    continue
+                else:
+                    raise
+
+    threads = []
+    threads_num = 16
+    for _ in range(threads_num):
+        threads.append(threading.Thread(target=insert))
+    for thread in threads:
+        time.sleep(random.uniform(0, 1))
+        thread.start()
+
+    instance.query('''
+        DROP TABLE IF EXISTS test.view;
+        DROP TABLE IF EXISTS test.consumer;
+        CREATE TABLE test.view (key UInt64, value UInt64)
+            ENGINE = MergeTree
+            ORDER BY key;
+        CREATE MATERIALIZED VIEW test.consumer TO test.view AS
+            SELECT * FROM test.kafka;
+    ''')
+
+    while True:
+        result = instance.query('SELECT count() FROM test.view')
+        time.sleep(1)
+        if int(result) == messages_num * threads_num:
+            break
+
+    instance.query('''
+        DROP TABLE test.consumer;
+        DROP TABLE test.view;
+    ''')
+
+    for thread in threads:
+        thread.join()
+
+    assert int(result) == messages_num * threads_num, 'ClickHouse lost some messages: {}'.format(result)
+
+
 if __name__ == '__main__':
     cluster.start()
     raw_input("Cluster created, press any key to destroy...")

dbms/tests/queries/0_stateless/00632_aggregation_window_funnel.reference

@@ -16,3 +16,5 @@
 1
 1
 1
+1
+1

dbms/tests/queries/0_stateless/00632_aggregation_window_funnel.sql

@@ -9,7 +9,6 @@ select 3 = windowFunnel(10000)(timestamp, event = 1000, event = 1001, event = 10
 select 4 = windowFunnel(10000)(timestamp, event = 1000, event = 1001, event = 1002, event = 1008) from funnel_test;
 
 
-
 select 1 = windowFunnel(1)(timestamp, event = 1000) from funnel_test;
 select 3 = windowFunnel(2)(timestamp, event = 1003, event = 1004, event = 1005, event = 1006, event = 1007) from funnel_test;
 select 4 = windowFunnel(3)(timestamp, event = 1003, event = 1004, event = 1005, event = 1006, event = 1007) from funnel_test;
@@ -39,6 +38,16 @@ select 1 = windowFunnel(10000)(timestamp, event = 1008, event = 1001) from funne
 select 5 = windowFunnel(4)(timestamp, event = 1003, event = 1004, event = 1005, event = 1006, event = 1007) from funnel_test_u64;
 select 4 = windowFunnel(4)(timestamp, event <= 1007, event >= 1002, event <= 1006, event >= 1004) from funnel_test_u64;
 
+
+drop table if exists funnel_test_strict;
+create table funnel_test_strict (timestamp UInt32, event UInt32) engine=Memory;
+insert into funnel_test_strict values (00,1000),(10,1001),(20,1002),(30,1003),(40,1004),(50,1005),(51,1005),(60,1006),(70,1007),(80,1008);
+
+select 6 = windowFunnel(10000, 'strict')(timestamp, event = 1000, event = 1001, event = 1002, event = 1003, event = 1004, event = 1005, event = 1006) from funnel_test_strict;
+select 7 = windowFunnel(10000)(timestamp, event = 1000, event = 1001, event = 1002, event = 1003, event = 1004, event = 1005, event = 1006) from funnel_test_strict;
+
+
 drop table funnel_test;
 drop table funnel_test2;
 drop table funnel_test_u64;
+drop table funnel_test_strict;

dbms/tests/queries/0_stateless/00754_distributed_optimize_skip_select_on_unused_shards_with_prewhere.reference

@@ -0,0 +1,15 @@
+OK
+OK
+1
+OK
+0
+1
+4
+4
+2
+4
+OK
+OK
+OK
+OK
+OK

dbms/tests/queries/0_stateless/00754_distributed_optimize_skip_select_on_unused_shards_with_prewhere.sh

@@ -0,0 +1,100 @@
+#!/usr/bin/env bash
+
+CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
+. $CURDIR/../shell_config.sh
+
+${CLICKHOUSE_CLIENT} --query "DROP TABLE IF EXISTS distributed_00754;"
+${CLICKHOUSE_CLIENT} --query "DROP TABLE IF EXISTS mergetree_00754;"
+
+${CLICKHOUSE_CLIENT} --query "
+    CREATE TABLE mergetree_00754 (a Int64, b Int64, c String) ENGINE = MergeTree ORDER BY (a, b);
+"
+${CLICKHOUSE_CLIENT} --query "
+    CREATE TABLE distributed_00754 AS mergetree_00754
+    ENGINE = Distributed(test_unavailable_shard, ${CLICKHOUSE_DATABASE}, mergetree_00754, jumpConsistentHash(a+b, 2));
+"
+
+${CLICKHOUSE_CLIENT} --query "INSERT INTO mergetree_00754 VALUES (0, 0, 'Hello');"
+${CLICKHOUSE_CLIENT} --query "INSERT INTO mergetree_00754 VALUES (1, 0, 'World');"
+${CLICKHOUSE_CLIENT} --query "INSERT INTO mergetree_00754 VALUES (0, 1, 'Hello');"
+${CLICKHOUSE_CLIENT} --query "INSERT INTO mergetree_00754 VALUES (1, 1, 'World');"
+
+# Should fail because the second shard is unavailable
+${CLICKHOUSE_CLIENT} --query "SELECT count(*) FROM distributed_00754;" 2>&1 \
+| fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+# Should fail without setting `optimize_skip_unused_shards` = 1
+${CLICKHOUSE_CLIENT} --query "SELECT count(*) FROM distributed_00754 PREWHERE a = 0 AND b = 0;" 2>&1 \
+| fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+# Should pass now
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 AND b = 0;
+"
+
+
+# Should still fail because of matching unavailable shard
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 2 AND b = 2;
+" 2>&1 \ | fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+# Try more complex expressions for constant folding - all should pass.
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 1 AND a = 0 WHERE b = 0;
+"
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 1 WHERE b = 1 AND length(c) = 5;
+"
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a IN (0, 1) AND b IN (0, 1) WHERE c LIKE '%l%';
+"
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a IN (0, 1) WHERE b IN (0, 1) AND c LIKE '%l%';
+"
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 AND b = 0 OR a = 1 AND b = 1 WHERE c LIKE '%l%';
+"
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE (a = 0 OR a = 1) WHERE (b = 0 OR b = 1);
+"
+
+# These should fail.
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 AND b <= 1;
+" 2>&1 \ | fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 WHERE c LIKE '%l%';
+" 2>&1 \ | fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 OR a = 1 AND b = 0;
+" 2>&1 \ | fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 AND b = 0 OR a = 2 AND b = 2;
+" 2>&1 \ | fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'
+
+${CLICKHOUSE_CLIENT} -n --query="
+    SET optimize_skip_unused_shards = 1;
+    SELECT count(*) FROM distributed_00754 PREWHERE a = 0 AND b = 0 OR c LIKE '%l%';
+" 2>&1 \ | fgrep -q "All connection tries failed" && echo 'OK' || echo 'FAIL'

dbms/tests/queries/0_stateless/00979_quantileExcatExclusive_and_Inclusive.reference

@@ -0,0 +1,6 @@
+[249.25,499.5,749.75,899.9,949.9499999999999,989.99,998.999]
+[249.75,499.5,749.25,899.1,949.05,989.01,998.001]
+[250,500,750,900,950,990,999]
+599.6
+599.4
+600

dbms/tests/queries/0_stateless/00979_quantileExcatExclusive_and_Inclusive.sql

@@ -0,0 +1,12 @@
+DROP TABLE IF EXISTS num;
+CREATE TABLE num AS numbers(1000);
+
+SELECT quantilesExactExclusive(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x) FROM (SELECT number AS x FROM num);
+SELECT quantilesExactInclusive(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x) FROM (SELECT number AS x FROM num);
+SELECT quantilesExact(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x) FROM (SELECT number AS x FROM num);
+
+SELECT quantileExactExclusive(0.6)(x) FROM (SELECT number AS x FROM num);
+SELECT quantileExactInclusive(0.6)(x) FROM (SELECT number AS x FROM num);
+SELECT quantileExact(0.6)(x) FROM (SELECT number AS x FROM num);
+
+DROP TABLE num;

dbms/tests/queries/0_stateless/00981_in_subquery_with_tuple.reference

@@ -0,0 +1,7 @@
+OK1
+OK2
+OK3
+OK4
+OK5
+2019-08-11	world
+2019-08-12	hello

dbms/tests/queries/0_stateless/00981_in_subquery_with_tuple.sh

@@ -0,0 +1,21 @@
+#!/usr/bin/env bash
+
+CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
+. $CURDIR/../shell_config.sh
+
+$CLICKHOUSE_CLIENT --query="DROP TABLE IF EXISTS bug";
+$CLICKHOUSE_CLIENT --query="CREATE TABLE bug (d Date, s String) ENGINE = MergeTree(d, s, 8192)";
+$CLICKHOUSE_CLIENT --query="INSERT INTO bug VALUES ('2019-08-09', 'hello'), ('2019-08-10', 'world'), ('2019-08-11', 'world'), ('2019-08-12', 'hello')";
+
+#SET force_primary_key = 1;
+
+$CLICKHOUSE_CLIENT --query="SELECT * FROM bug WHERE (s, d) IN (SELECT (s, max(d)) FROM bug GROUP BY s) ORDER BY d" 2>&1 | grep "Number of columns in section IN doesn't match" > /dev/null && echo "OK1";
+$CLICKHOUSE_CLIENT --query="SELECT * FROM bug WHERE (s, d, s) IN (SELECT s, max(d) FROM bug GROUP BY s)" 2>&1 | grep "Number of columns in section IN doesn't match" > /dev/null && echo "OK2";
+$CLICKHOUSE_CLIENT --query="SELECT * FROM bug WHERE (s, d) IN (SELECT s, max(d), s FROM bug GROUP BY s)" 2>&1 | grep "Number of columns in section IN doesn't match" > /dev/null && echo "OK3";
+
+$CLICKHOUSE_CLIENT --query="SELECT * FROM bug WHERE (s, toDateTime(d)) IN (SELECT s, max(d) FROM bug GROUP BY s)" 2>&1 | grep "Types of column 2 in section IN don't match" > /dev/null && echo "OK4";
+$CLICKHOUSE_CLIENT --query="SELECT * FROM bug WHERE (s, d) IN (SELECT s, toDateTime(max(d)) FROM bug GROUP BY s)" 2>&1 | grep "Types of column 2 in section IN don't match" > /dev/null && echo "OK5";
+
+$CLICKHOUSE_CLIENT --query="SELECT * FROM bug WHERE (s, d) IN (SELECT s, max(d) FROM bug GROUP BY s) ORDER BY d";
+
+$CLICKHOUSE_CLIENT --query="DROP TABLE bug";

docs/en/interfaces/formats.md

@@ -1,9 +1,6 @@
 # Formats for input and output data {#formats}
 
-ClickHouse can accept and return data in various formats. A format supported
+ClickHouse can accept and return data in various formats. A format supported for input can be used to parse the data provided to `INSERT`s, to perform `SELECT`s from a file-backed table such as File, URL or HDFS, or to read an external dictionary. A format supported for output can be used to arrange the
-for input can be used to parse the data provided to `INSERT`s, to perform
-`SELECT`s from a file-backed table such as File, URL or HDFS, or to read an
-external dictionary. A format supported for output can be used to arrange the
 results of a `SELECT`, and to perform `INSERT`s into a file-backed table.
 
 The supported formats are:
@@ -388,7 +385,7 @@ Unlike the [JSON](#json) format, there is no substitution of invalid UTF-8 seque
 
 ### Usage of Nested Structures {#jsoneachrow-nested}
 
-If you have a table with the [Nested](../data_types/nested_data_structures/nested.md) data type columns, you can insert JSON data having the same structure. Enable this functionality with the [input_format_import_nested_json](../operations/settings/settings.md#settings-input_format_import_nested_json) setting.
+If you have a table with [Nested](../data_types/nested_data_structures/nested.md) data type columns, you can insert JSON data with the same structure. Enable this feature with the [input_format_import_nested_json](../operations/settings/settings.md#settings-input_format_import_nested_json) setting.
 
 For example, consider the following table:
 
@@ -396,13 +393,13 @@ For example, consider the following table:
 CREATE TABLE json_each_row_nested (n Nested (s String, i Int32) ) ENGINE = Memory
 ```
 
-As you can find in the `Nested` data type description, ClickHouse treats each component of the nested structure as a separate column, `n.s` and `n.i` for our table. So you can insert the data the following way:
+As you can see in the `Nested` data type description, ClickHouse treats each component of the nested structure as a separate column (`n.s` and `n.i` for our table). You can insert data in the following way:
 
 ```sql
 INSERT INTO json_each_row_nested FORMAT JSONEachRow {"n.s": ["abc", "def"], "n.i": [1, 23]}
 ```
 
-To insert data as hierarchical JSON object set [input_format_import_nested_json=1](../operations/settings/settings.md#settings-input_format_import_nested_json).
+To insert data as a hierarchical JSON object, set [input_format_import_nested_json=1](../operations/settings/settings.md#settings-input_format_import_nested_json).
 
 ```json
 {
@@ -413,7 +410,7 @@ To insert data as hierarchical JSON object set [input_format_import_nested_json=
 }
 ```
 
-Without this setting ClickHouse throws the exception.
+Without this setting, ClickHouse throws an exception.
 
 ```sql
 SELECT name, value FROM system.settings WHERE name = 'input_format_import_nested_json'

docs/en/operations/server_settings/settings.md

@@ -555,11 +555,9 @@ If the table doesn't exist, ClickHouse will create it. If the structure of the q
 ```
 
 
-## remote_servers
+## remote_servers {#server_settings_remote_servers}
 
-Configuration of clusters used by the Distributed table engine.
+Configuration of clusters used by the [Distributed](../../operations/table_engines/distributed.md) table engine and by the `cluster` table function.
-
-For more information, see the section "[Table engines/Distributed](../../operations/table_engines/distributed.md)".
 
 **Example**
 
@@ -569,6 +567,9 @@ For more information, see the section "[Table engines/Distributed](../../operati
 
 For the value of the `incl` attribute, see the section "[Configuration files](../configuration_files.md#configuration_files)".
 
+**See Also**
+
+- [skip_unavailable_shards](../settings/settings.md#settings-skip_unavailable_shards)
 
 ## timezone
 

docs/en/operations/settings/settings.md

@@ -238,7 +238,7 @@ Default value: 0.
 
 ## input_format_import_nested_json {#settings-input_format_import_nested_json}
 
-Enables or disables inserting of JSON data with nested objects.
+Enables or disables the insertion of JSON data with nested objects.
 
 Supported formats:
 
@@ -275,7 +275,7 @@ Default value: 1.
 
 ## date_time_input_format {#settings-date_time_input_format}
 
-Enables or disables extended parsing of date and time formatted strings.
+Allows to choose a parser of text representation of date and time.
 
 The setting doesn't apply to [date and time functions](../../query_language/functions/date_time_functions.md).
 
@@ -283,11 +283,13 @@ Possible values:
 
 - `'best_effort'` — Enables extended parsing.
 
-    ClickHouse can parse the basic format `YYYY-MM-DD HH:MM:SS` and all the [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) date and time formats. For example, `'2018-06-08T01:02:03.000Z'`.
+    ClickHouse can parse the basic `YYYY-MM-DD HH:MM:SS` format and all [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) date and time formats. For example, `'2018-06-08T01:02:03.000Z'`.
 
 - `'basic'` — Use basic parser.
 
-    ClickHouse can parse only the basic format.
+    ClickHouse can parse only the basic `YYYY-MM-DD HH:MM:SS` format. For example, `'2019-08-20 10:18:56'`.
+
+Default value: `'basic'`.
 
 **See Also**
 
@@ -834,3 +836,29 @@ Possible values:
 Default value: `uniqExact`.
 
 [Original article](https://clickhouse.yandex/docs/en/operations/settings/settings/) <!--hide-->
+
+
+## skip_unavailable_shards {#settings-skip_unavailable_shards}
+
+Enables or disables silent skipping of:
+
+- Node, if its name cannot be resolved through DNS.
+
+    When skipping is disabled, ClickHouse requires that all the nodes in the [cluster configuration](../server_settings/settings.md#server_settings_remote_servers) can be resolvable through DNS. Otherwise, ClickHouse throws an exception when trying to perform a query on the cluster.
+
+    If skipping is enabled, ClickHouse considers unresolved nodes as unavailable and tries to resolve them at every connection attempt. Such behavior creates the risk of wrong cluster configuration because a user can specify the wrong node name, and ClickHouse doesn't report about it. However, this can be useful in systems with dynamic DNS, for example, [Kubernetes](https://kubernetes.io), where nodes can be unresolvable during downtime, and this is not an error.
+
+- Shard, if there are no available replicas of the shard.
+
+    When skipping is disabled, ClickHouse throws an exception.
+
+    When skipping is enabled, ClickHouse returns a partial answer and doesn't report about issues with nodes availability.
+
+Possible values:
+
+- 1 — skipping enabled.
+- 0 — skipping disabled.
+
+Default value: 0.
+
+[Original article](https://clickhouse.yandex/docs/en/operations/settings/settings/) <!-- hide -->

docs/en/operations/table_engines/buffer.md

@@ -2,17 +2,26 @@
 
 Buffers the data to write in RAM, periodically flushing it to another table. During the read operation, data is read from the buffer and the other table simultaneously.
 
-```
+```sql
 Buffer(database, table, num_layers, min_time, max_time, min_rows, max_rows, min_bytes, max_bytes)
 ```
 
-Engine parameters:database, table – The table to flush data to. Instead of the database name, you can use a constant expression that returns a string. num_layers – Parallelism layer. Physically, the table will be represented as 'num_layers' of independent buffers. Recommended value: 16. min_time, max_time, min_rows, max_rows, min_bytes, and max_bytes are conditions for flushing data from the buffer.
+Engine parameters:
 
-Data is flushed from the buffer and written to the destination table if all the 'min' conditions or at least one 'max' condition are met.min_time, max_time – Condition for the time in seconds from the moment of the first write to the buffer. min_rows, max_rows – Condition for the number of rows in the buffer. min_bytes, max_bytes – Condition for the number of bytes in the buffer.
+- `database` – Database name. Instead of the database name, you can use a constant expression that returns a string.
+- `table` – Table to flush data to. 
+- `num_layers` – Parallelism layer. Physically, the table will be represented as 'num_layers' of independent buffers. Recommended value: 16.
+- `min_time`, `max_time`, `min_rows`, `max_rows`, `min_bytes`, and `max_bytes` – Conditions for flushing data from the buffer.
 
-During the write operation, data is inserted to a 'num_layers' number of random buffers. Or, if the data part to insert is large enough (greater than 'max_rows' or 'max_bytes'), it is written directly to the destination table, omitting the buffer.
+Data is flushed from the buffer and written to the destination table if all the `min*` conditions or at least one `max*` condition are met.
 
-The conditions for flushing the data are calculated separately for each of the 'num_layers' buffers. For example, if num_layers = 16 and max_bytes = 100000000, the maximum RAM consumption is 1.6 GB.
+- `min_time`, `max_time` – Condition for the time in seconds from the moment of the first write to the buffer.
+- `min_rows`, `max_rows` – Condition for the number of rows in the buffer. 
+- `min_bytes`, `max_bytes` – Condition for the number of bytes in the buffer.
+
+During the write operation, data is inserted to a `num_layers` number of random buffers. Or, if the data part to insert is large enough (greater than `max_rows` or `max_bytes`), it is written directly to the destination table, omitting the buffer.
+
+The conditions for flushing the data are calculated separately for each of the `num_layers` buffers. For example, if `num_layers = 16` and `max_bytes = 100000000`, the maximum RAM consumption is 1.6 GB.
 
 Example:
 

docs/en/operations/table_engines/mergetree.md

@@ -172,6 +172,7 @@ The number of columns in the primary key is not explicitly limited. Depending on
 - Improve the performance of an index.
 
     If the primary key is `(a, b)`, then adding another column `c` will improve the performance if the following conditions are met:
+    
     - There are queries with a condition on column `c`.
     - Long data ranges (several times longer than the `index_granularity`) with identical values for `(a, b)` are common. In other words, when adding another column allows you to skip quite long data ranges.
 

docs/en/query_language/agg_functions/reference.md

@@ -681,11 +681,11 @@ groupArrayMovingSum(numbers_for_summing)
 groupArrayMovingSum(window_size)(numbers_for_summing)
 ```
 
-The function can take the window size as a parameter. If it not specified, the function takes the window size equal to the number of rows in the column.
+The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
 
 **Parameters**
 
-- `numbers_for_summing` — [Expression](../syntax.md#syntax-expressions) resulting with a value in a numeric data type.
+- `numbers_for_summing` — [Expression](../syntax.md#syntax-expressions) resulting in a numeric data type value.
 - `window_size` — Size of the calculation window.
 
 **Returned values**
@@ -750,11 +750,11 @@ groupArrayMovingAvg(numbers_for_summing)
 groupArrayMovingAvg(window_size)(numbers_for_summing)
 ```
 
-The function can take the window size as a parameter. If it not specified, the function takes the window size equal to the number of rows in the column.
+The function can take the window size as a parameter. If left unspecified, the function takes the window size equal to the number of rows in the column.
 
 **Parameters**
 
-- `numbers_for_summing` — [Expression](../syntax.md#syntax-expressions) resulting with a value in a numeric data type.
+- `numbers_for_summing` — [Expression](../syntax.md#syntax-expressions) resulting in a numeric data type value.
 - `window_size` — Size of the calculation window.
 
 **Returned values**

docs/ru/interfaces/formats.md

@@ -377,9 +377,68 @@ CREATE TABLE IF NOT EXISTS example_table
 
 В отличие от формата [JSON](#json), для `JSONEachRow` ClickHouse не заменяет невалидные UTF-8 последовательности. Значения экранируются так же, как и для формата `JSON`.
 
-!!! Примечание " Примечание"
+!!! note "Примечание"
     В строках может выводиться произвольный набор байт. Используйте формат `JSONEachRow`, если вы уверены, что данные в таблице могут быть представлены в формате JSON без потери информации.
 
+### Использование вложенных структур {#jsoneachrow-nested}
+
+Если у вас есть таблица со столбцами типа [Nested](../data_types/nested_data_structures/nested.md), то в неё можно вставить данные из JSON-документа с такой же структурой. Функциональность включается настройкой [input_format_import_nested_json](../operations/settings/settings.md#settings-input_format_import_nested_json).
+
+Например, рассмотрим следующую таблицу:
+
+```sql
+CREATE TABLE json_each_row_nested (n Nested (s String, i Int32) ) ENGINE = Memory
+```
+
+Из описания типа данных `Nested` видно, что ClickHouse трактует каждый компонент вложенной структуры как отдельный столбец (для нашей таблицы `n.s` и `n.i`). Можно вставить данные следующим образом:
+
+```sql
+INSERT INTO json_each_row_nested FORMAT JSONEachRow {"n.s": ["abc", "def"], "n.i": [1, 23]}
+```
+
+Чтобы вставить данные как иерархический объект JSON, установите [input_format_import_nested_json=1](../operations/settings/settings.md#settings-input_format_import_nested_json).
+
+```json
+{
+    "n": {
+        "s": ["abc", "def"],
+        "i": [1, 23]
+    }
+}
+```
+
+Без этой настройки ClickHouse сгенерирует исключение.
+
+```sql
+SELECT name, value FROM system.settings WHERE name = 'input_format_import_nested_json'
+```
+
+```text
+┌─name────────────────────────────┬─value─┐
+│ input_format_import_nested_json │ 0     │
+└─────────────────────────────────┴───────┘
+```
+
+```sql
+INSERT INTO json_each_row_nested FORMAT JSONEachRow {"n": {"s": ["abc", "def"], "i": [1, 23]}}
+```
+
+```text
+Code: 117. DB::Exception: Unknown field found while parsing JSONEachRow format: n: (at row 1)
+```
+
+```sql
+SET input_format_import_nested_json=1
+INSERT INTO json_each_row_nested FORMAT JSONEachRow {"n": {"s": ["abc", "def"], "i": [1, 23]}}
+SELECT * FROM json_each_row_nested
+```
+
+```text
+┌─n.s───────────┬─n.i────┐
+│ ['abc','def'] │ [1,23] │
+└───────────────┴────────┘
+```
+
 ## Native {#native}
 
 Самый эффективный формат. Данные пишутся и читаются блоками в бинарном виде. Для каждого блока пишется количество строк, количество столбцов, имена и типы столбцов, а затем кусочки столбцов этого блока, один за другим. То есть, этот формат является "столбцовым" - не преобразует столбцы в строки. Именно этот формат используется в родном интерфейсе - при межсерверном взаимодействии, при использовании клиента командной строки, при работе клиентов, написанных на C++.
@@ -399,7 +458,7 @@ CREATE TABLE IF NOT EXISTS example_table
 
 [NULL](../query_language/syntax.md) выводится как `ᴺᵁᴸᴸ`.
 
-``` sql
+```sql
 SELECT * FROM t_null
 ```
 ```
@@ -410,7 +469,7 @@ SELECT * FROM t_null
 
 В форматах `Pretty*` строки выводятся без экранирования. Ниже приведен пример для формата [PrettyCompact](#prettycompact):
 
-``` sql
+```sql
 SELECT 'String with \'quotes\' and \t character' AS Escaping_test
 ```
 
@@ -425,7 +484,7 @@ SELECT 'String with \'quotes\' and \t character' AS Escaping_test
 
 Формат `Pretty` поддерживает вывод тотальных значений (при использовании WITH TOTALS) и экстремальных значений (при настройке extremes выставленной в 1). В этих случаях, после основных данных выводятся тотальные значения, и экстремальные значения, в отдельных табличках. Пример (показан для формата [PrettyCompact](#prettycompact)):
 
-``` sql
+```sql
 SELECT EventDate, count() AS c FROM test.hits GROUP BY EventDate WITH TOTALS ORDER BY EventDate FORMAT PrettyCompact
 ```
 
@@ -516,7 +575,7 @@ Array представлены как длина в формате varint (unsig
 
 Пример:
 
-``` sql
+```sql
 SELECT * FROM t_null FORMAT Vertical
 ```
 ```
@@ -528,7 +587,7 @@ y: ᴺᵁᴸᴸ
 
 В формате `Vertical` строки выводятся без экранирования. Например:
 
-``` sql
+```sql
 SELECT 'string with \'quotes\' and \t with some special \n characters' AS test FORMAT Vertical
 ```
 

docs/ru/operations/settings/settings.md

@@ -233,7 +233,26 @@ Ok.
 - 0 — выключена.
 - 1 — включена.
 
-Значение по умолчанию: 0.
+Значение по умолчанию — 0.
+
+## input_format_import_nested_json {#settings-input_format_import_nested_json}
+
+Включает или отключает вставку данных JSON с вложенными объектами.
+
+Поддерживаемые форматы:
+
+- [JSONEachRow](../../interfaces/formats.md#jsoneachrow)
+
+Возможные значения:
+
+- 0 — выключена.
+- 1 — включена.
+
+Значение по умолчанию — 0.
+
+**Смотрите также**
+
+- [Использование вложенных структур](../../interfaces/formats.md#jsoneachrow-nested) with the `JSONEachRow` format.
 
 ## input_format_with_names_use_header {#settings-input_format_with_names_use_header}
 
@@ -253,6 +272,29 @@ Ok.
 
 Значение по умолчанию: 1.
 
+## date_time_input_format {#settings-date_time_input_format}
+
+Выбор парсера для текстового представления дат и времени при обработке входного формата.
+
+Настройка не применяется к [функциям для работы с датой и временем](../../query_language/functions/date_time_functions.md).
+
+Возможные значения:
+
+- `'best_effort'` — включает расширенный парсинг.
+
+    ClickHouse может парсить базовый формат `YYYY-MM-DD HH:MM:SS` и все форматы [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601). Например, `'2018-06-08T01:02:03.000Z'`.
+
+- `'basic'` — используется базовый парсер.
+
+    ClickHouse может парсить только базовый формат `YYYY-MM-DD HH:MM:SS`. Например, `'2019-08-20 10:18:56'`.
+
+Значение по умолчанию — `'basic'`.
+
+**Смотрите также**
+
+- [Тип данных DateTime.](../../data_types/datetime.md)
+- [Функции для работы с датой и временем.](../../query_language/functions/date_time_functions.md)
+
 ## join_default_strictness {#settings-join_default_strictness}
 
 Устанавливает строгость по умолчанию для [JOIN](../../query_language/select.md#select-join).

docs/ru/query_language/agg_functions/reference.md

@@ -87,7 +87,7 @@ anyHeavy(column)
 
 **Аргументы**
 
-- `column` – Имя столбца.
+- `column` — имя столбца.
 
 **Пример**
 
@@ -681,6 +681,154 @@ uniqExact(x[, ...])
 - Значение по умолчанию для подстановки на пустые позиции.
 - Длина результирующего массива. Например, если вы хотите получать массивы одинакового размера для всех агрегатных ключей. При использовании этого параметра значение по умолчанию задавать обязательно.
 
+## groupArrayMovingSum {#agg_function-grouparraymovingsum}
+
+Вычисляет скользящую сумму входных значений.
+
+```
+groupArrayMovingSum(numbers_for_summing)
+groupArrayMovingSum(window_size)(numbers_for_summing)
+```
+
+Функция может принимать размер окна в качестве параметра. Если окно не указано, то функция использует размер окна, равный количеству строк в столбце.
+
+**Параметры**
+
+- `numbers_for_summing` — [выражение](../syntax.md#syntax-expressions), возвращающее значение числового типа.
+- `window_size` — размер окна.
+
+**Возвращаемые значения**
+
+- Массив того же размера и типа, что и входные данные.
+
+**Пример**
+
+Таблица с исходными данными:
+
+```sql
+CREATE TABLE t
+(
+    `int` UInt8,
+    `float` Float32,
+    `dec` Decimal32(2)
+)
+ENGINE = TinyLog
+```
+
+```text
+┌─int─┬─float─┬──dec─┐
+│   1 │   1.1 │ 1.10 │
+│   2 │   2.2 │ 2.20 │
+│   4 │   4.4 │ 4.40 │
+│   7 │  7.77 │ 7.77 │
+└─────┴───────┴──────┘
+```
+
+Запросы:
+
+```sql
+SELECT
+    groupArrayMovingSum(int) AS I,
+    groupArrayMovingSum(float) AS F,
+    groupArrayMovingSum(dec) AS D
+FROM t
+```
+
+```text
+┌─I──────────┬─F───────────────────────────────┬─D──────────────────────┐
+│ [1,3,7,14] │ [1.1,3.3000002,7.7000003,15.47] │ [1.10,3.30,7.70,15.47] │
+└────────────┴─────────────────────────────────┴────────────────────────┘
+```
+
+```sql
+SELECT
+    groupArrayMovingSum(2)(int) AS I,
+    groupArrayMovingSum(2)(float) AS F,
+    groupArrayMovingSum(2)(dec) AS D
+FROM t
+```
+
+```text
+┌─I──────────┬─F───────────────────────────────┬─D──────────────────────┐
+│ [1,3,6,11] │ [1.1,3.3000002,6.6000004,12.17] │ [1.10,3.30,6.60,12.17] │
+└────────────┴─────────────────────────────────┴────────────────────────┘
+```
+
+## groupArrayMovingAvg {#agg_function-grouparraymovingavg}
+
+Вычисляет скользящее среднее для входных значений.
+
+```
+groupArrayMovingAvg(numbers_for_summing)
+groupArrayMovingAvg(window_size)(numbers_for_summing)
+```
+
+Функция может принимать размер окна в качестве параметра. Если окно не указано, то функция использует размер окна, равный количеству строк в столбце.
+
+**Параметры**
+
+- `numbers_for_summing` — [выражение](../syntax.md#syntax-expressions), возвращающее значение числового типа.
+- `window_size` — размер окна.
+
+**Возвращаемые значения**
+
+- Массив того же размера и типа, что и входные данные.
+
+Функция использует [округление к меньшему по модулю](https://ru.wikipedia.org/wiki/Округление#Методы). Оно усекает десятичные разряды, незначимые для результирующего типа данных.
+
+**Пример**
+
+Таблица с исходными данными:
+
+```sql
+CREATE TABLE t
+(
+    `int` UInt8,
+    `float` Float32,
+    `dec` Decimal32(2)
+)
+ENGINE = TinyLog
+```
+
+```text
+┌─int─┬─float─┬──dec─┐
+│   1 │   1.1 │ 1.10 │
+│   2 │   2.2 │ 2.20 │
+│   4 │   4.4 │ 4.40 │
+│   7 │  7.77 │ 7.77 │
+└─────┴───────┴──────┘
+```
+
+Запросы:
+
+```sql
+SELECT
+    groupArrayMovingAvg(int) AS I,
+    groupArrayMovingAvg(float) AS F,
+    groupArrayMovingAvg(dec) AS D
+FROM t
+```
+
+```text
+┌─I─────────┬─F───────────────────────────────────┬─D─────────────────────┐
+│ [0,0,1,3] │ [0.275,0.82500005,1.9250001,3.8675] │ [0.27,0.82,1.92,3.86] │
+└───────────┴─────────────────────────────────────┴───────────────────────┘
+```
+
+```sql
+SELECT
+    groupArrayMovingAvg(2)(int) AS I,
+    groupArrayMovingAvg(2)(float) AS F,
+    groupArrayMovingAvg(2)(dec) AS D
+FROM t
+```
+
+```text
+┌─I─────────┬─F────────────────────────────────┬─D─────────────────────┐
+│ [0,1,3,5] │ [0.55,1.6500001,3.3000002,6.085] │ [0.55,1.65,3.30,6.08] │
+└───────────┴──────────────────────────────────┴───────────────────────┘
+```
+
 ## groupUniqArray(x), groupUniqArray(max_size)(x)
 
 Составляет массив из различных значений аргумента. Расход оперативной памяти такой же, как у функции `uniqExact`.

libs/libcommon/include/ext/shared_ptr_helper.h

@@ -12,7 +12,7 @@ namespace ext
   *
   * Downsides:
   * - your class cannot be final;
-  * - bad compilation error messages;
+  * - awful compilation error messages;
   * - bad code navigation.
   * - different dynamic type of created object, you cannot use typeid.
   */

utils/kafka/consume.py

@@ -26,6 +26,7 @@ def main():
         'bootstrap_servers': f'{args.server}:{args.port}',
         'client_id': args.client,
         'group_id': args.group,
+        'auto_offset_reset': 'earliest',
     }
     client = kafka.KafkaConsumer(**config)