diff --git a/docs/en/operations/utilities/clickhouse-local.md b/docs/en/operations/utilities/clickhouse-local.md
index 04f9f3660b5..cfabf42bff1 100644
--- a/docs/en/operations/utilities/clickhouse-local.md
+++ b/docs/en/operations/utilities/clickhouse-local.md
@@ -91,6 +91,8 @@ $ clickhouse-local --query "
 
 Now let’s output memory user for each Unix user:
 
+Query:
+
 ``` bash
 $ ps aux | tail -n +2 | awk '{ printf("%s\t%s\n", $1, $4) }' \
     | clickhouse-local --structure "user String, mem Float64" \
@@ -98,6 +100,8 @@ $ ps aux | tail -n +2 | awk '{ printf("%s\t%s\n", $1, $4) }' \
             FROM table GROUP BY user ORDER BY memTotal DESC FORMAT Pretty"
 ```
 
+Result:
+
 ``` text
 Read 186 rows, 4.15 KiB in 0.035 sec., 5302 rows/sec., 118.34 KiB/sec.
 ┏━━━━━━━━━━┳━━━━━━━━━━┓
diff --git a/docs/en/sql-reference/data-types/simpleaggregatefunction.md b/docs/en/sql-reference/data-types/simpleaggregatefunction.md
index 2d2746f85d3..244779c5ca8 100644
--- a/docs/en/sql-reference/data-types/simpleaggregatefunction.md
+++ b/docs/en/sql-reference/data-types/simpleaggregatefunction.md
@@ -21,7 +21,11 @@ The following aggregate functions are supported:
 -   [`argMin`](../../sql-reference/aggregate-functions/reference/argmin.md)
 -   [`argMax`](../../sql-reference/aggregate-functions/reference/argmax.md)
 
-Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way as `Type`, so you do not need to apply functions with `-Merge`/`-State` suffixes. `SimpleAggregateFunction` has better performance than `AggregateFunction` with same aggregation function.
+
+!!! note "Note"
+    Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way as `Type`, so you do not need to apply functions with `-Merge`/`-State` suffixes.
+    
+    `SimpleAggregateFunction` has better performance than `AggregateFunction` with same aggregation function.
 
 **Parameters**
 
@@ -31,11 +35,7 @@ Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way
 **Example**
 
 ``` sql
-CREATE TABLE t
-(
-    column1 SimpleAggregateFunction(sum, UInt64),
-    column2 SimpleAggregateFunction(any, String)
-) ENGINE = ...
+CREATE TABLE simple (id UInt64, val SimpleAggregateFunction(sum, Double)) ENGINE=AggregatingMergeTree ORDER BY id;
 ```
 
 [Original article](https://clickhouse.tech/docs/en/data_types/simpleaggregatefunction/) <!--hide-->
diff --git a/docs/en/sql-reference/functions/date-time-functions.md b/docs/en/sql-reference/functions/date-time-functions.md
index 688511450e2..c557d8f369c 100644
--- a/docs/en/sql-reference/functions/date-time-functions.md
+++ b/docs/en/sql-reference/functions/date-time-functions.md
@@ -771,7 +771,7 @@ This is necessary for searching for pageviews in the corresponding session.
 
 ## formatDateTime {#formatdatetime}
 
-Function formats a Time according given Format string. N.B.: Format is a constant expression, e.g. you can not have multiple formats for single result column.
+Formats a Time according to the given Format string. Format is a constant expression, so you cannot have multiple formats for a single result column.
 
 **Syntax**
 
@@ -830,31 +830,32 @@ Result:
 └────────────────────────────────────────────┘
 ```
 
-[Original article](https://clickhouse.tech/docs/en/query_language/functions/date_time_functions/) <!--hide-->
-
 ## FROM\_UNIXTIME {#fromunixfime}
 
-When there is only single argument of integer type, it act in the same way as `toDateTime` and return [DateTime](../../sql-reference/data-types/datetime.md).
-type.
+Function converts Unix timestamp to a calendar date and a time of a day. When there is only a single argument of [Integer](../../sql-reference/data-types/int-uint.md) type, it acts in the same way as [toDateTime](../../sql-reference/functions/type-conversion-functions.md#todatetime) and return [DateTime](../../sql-reference/data-types/datetime.md) type.
 
-For example:
+**Example:**
+
+Query:
 
 ```sql
-SELECT FROM_UNIXTIME(423543535)
+SELECT FROM_UNIXTIME(423543535);
 ```
 
+Result:
+
 ```text
 ┌─FROM_UNIXTIME(423543535)─┐
 │      1983-06-04 10:58:55 │
 └──────────────────────────┘
 ```
 
-When there are two arguments, first is integer or DateTime, second is constant format string, it act in the same way as `formatDateTime` and return `String` type.
+When there are two arguments: first is an [Integer](../../sql-reference/data-types/int-uint.md) or [DateTime](../../sql-reference/data-types/datetime.md), second is a constant format string — it acts in the same way as [formatDateTime](#formatdatetime) and return [String](../../sql-reference/data-types/string.md#string) type.
 
 For example:
 
 ```sql
-SELECT FROM_UNIXTIME(1234334543, '%Y-%m-%d %R:%S') AS DateTime
+SELECT FROM_UNIXTIME(1234334543, '%Y-%m-%d %R:%S') AS DateTime;
 ```
 
 ```text
@@ -1006,3 +1007,5 @@ Result:
 │ 2020-01-01                         │
 └────────────────────────────────────┘
 ```
+
+[Original article](https://clickhouse.tech/docs/en/query_language/functions/date_time_functions/) <!--hide-->
diff --git a/docs/ru/operations/utilities/clickhouse-local.md b/docs/ru/operations/utilities/clickhouse-local.md
index 2b5c9b119e2..15d069c9acf 100644
--- a/docs/ru/operations/utilities/clickhouse-local.md
+++ b/docs/ru/operations/utilities/clickhouse-local.md
@@ -21,7 +21,8 @@ toc_title: clickhouse-local
 Основной формат вызова:
 
 ``` bash
-$ clickhouse-local --structure "table_structure" --input-format "format_of_incoming_data" -q "query"
+$ clickhouse-local --structure "table_structure" --input-format "format_of_incoming_data" \
+    --query "query"
 ```
 
 Ключи команды:
@@ -76,7 +77,9 @@ $ clickhouse-local --query "
 1	2
 ```
 
-А теперь давайте выведем на экран объём оперативной памяти, занимаемой пользователями (Unix):
+Объём оперативной памяти, занимаемой процессами, которые запустил пользователь (Unix):
+
+Запрос:
 
 ``` bash
 $ ps aux | tail -n +2 | awk '{ printf("%s\t%s\n", $1, $4) }' \
@@ -85,6 +88,8 @@ $ ps aux | tail -n +2 | awk '{ printf("%s\t%s\n", $1, $4) }' \
             FROM table GROUP BY user ORDER BY memTotal DESC FORMAT Pretty"
 ```
 
+Результат:
+
 ``` text
 Read 186 rows, 4.15 KiB in 0.035 sec., 5302 rows/sec., 118.34 KiB/sec.
 ┏━━━━━━━━━━┳━━━━━━━━━━┓
diff --git a/docs/ru/sql-reference/data-types/simpleaggregatefunction.md b/docs/ru/sql-reference/data-types/simpleaggregatefunction.md
index 52f0412a177..668b579ff78 100644
--- a/docs/ru/sql-reference/data-types/simpleaggregatefunction.md
+++ b/docs/ru/sql-reference/data-types/simpleaggregatefunction.md
@@ -1,8 +1,9 @@
-# SimpleAggregateFunction {#data-type-simpleaggregatefunction}
+# SimpleAggregateFunction(func, type) {#data-type-simpleaggregatefunction}
 
-`SimpleAggregateFunction(name, types_of_arguments…)` data type stores current value of the aggregate function, and does not store its full state as [`AggregateFunction`](../../sql-reference/data-types/aggregatefunction.md) does. This optimization can be applied to functions for which the following property holds: the result of applying a function `f` to a row set `S1 UNION ALL S2` can be obtained by applying `f` to parts of the row set separately, and then again applying `f` to the results: `f(S1 UNION ALL S2) = f(f(S1) UNION ALL f(S2))`. This property guarantees that partial aggregation results are enough to compute the combined one, so we don’t have to store and process any extra data.
+Хранит только текущее значение агрегатной функции и не сохраняет ее полное состояние, как это делает [`AggregateFunction`](../../sql-reference/data-types/aggregatefunction.md). Такая оптимизация может быть применена к функциям, которые обладают следующим свойством: результат выполнения функции `f` к набору строк `S1 UNION ALL S2` может быть получен путем выполнения `f` к отдельным частям набора строк,
+а затем повторного выполнения `f` к результатам: `f(S1 UNION ALL S2) = f(f(S1) UNION ALL f(S2))`. Это свойство гарантирует, что результатов частичной агрегации достаточно для вычисления комбинированной, поэтому хранить и обрабатывать какие-либо дополнительные данные не требуется.
 
-The following aggregate functions are supported:
+Поддерживаются следующие агрегатные функции:
 
 -   [`any`](../../sql-reference/aggregate-functions/reference/any.md#agg_function-any)
 -   [`anyLast`](../../sql-reference/aggregate-functions/reference/anylast.md#anylastx)
@@ -15,22 +16,24 @@ The following aggregate functions are supported:
 -   [`groupBitXor`](../../sql-reference/aggregate-functions/reference/groupbitxor.md#groupbitxor)
 -   [`groupArrayArray`](../../sql-reference/aggregate-functions/reference/grouparray.md#agg_function-grouparray)
 -   [`groupUniqArrayArray`](../../sql-reference/aggregate-functions/reference/groupuniqarray.md#groupuniqarray)
+-   [`sumMap`](../../sql-reference/aggregate-functions/reference/summap.md#agg_functions-summap)
+-   [`minMap`](../../sql-reference/aggregate-functions/reference/minmap.md#agg_functions-minmap)
+-   [`maxMap`](../../sql-reference/aggregate-functions/reference/maxmap.md#agg_functions-maxmap)
 
-Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way as `Type`, so you do not need to apply functions with `-Merge`/`-State` suffixes. `SimpleAggregateFunction` has better performance than `AggregateFunction` with same aggregation function.
+!!! note "Примечание"
+    Значения `SimpleAggregateFunction(func, Type)` отображаются и хранятся так же, как и `Type`, поэтому комбинаторы [-Merge](../../sql-reference/aggregate-functions/combinators.md#aggregate_functions_combinators-merge) и [-State]((../../sql-reference/aggregate-functions/combinators.md#agg-functions-combinator-state) не требуются. 
+    
+    `SimpleAggregateFunction` имеет лучшую производительность, чем `AggregateFunction` с той же агрегатной функцией.
 
-**Parameters**
+**Параметры**
 
--   Name of the aggregate function.
--   Types of the aggregate function arguments.
+-   `func` — имя агрегатной функции.
+-   `type` — типы аргументов агрегатной функции.
 
-**Example**
+**Пример**
 
 ``` sql
-CREATE TABLE t
-(
-    column1 SimpleAggregateFunction(sum, UInt64),
-    column2 SimpleAggregateFunction(any, String)
-) ENGINE = ...
+CREATE TABLE simple (id UInt64, val SimpleAggregateFunction(sum, Double)) ENGINE=AggregatingMergeTree ORDER BY id;
 ```
 
-[Original article](https://clickhouse.tech/docs/en/data_types/simpleaggregatefunction/) <!--hide-->
+[Оригинальная статья](https://clickhouse.tech/docs/en/sql-reference/data-types/simpleaggregatefunction/) <!--hide-->
diff --git a/docs/ru/sql-reference/functions/date-time-functions.md b/docs/ru/sql-reference/functions/date-time-functions.md
index 85d7c275f27..4fab11e39a8 100644
--- a/docs/ru/sql-reference/functions/date-time-functions.md
+++ b/docs/ru/sql-reference/functions/date-time-functions.md
@@ -323,7 +323,9 @@ WITH toDateTime64('2020-01-01 10:20:30.999', 3) AS dt64 SELECT toStartOfSecond(d
 
 Переводит дату-с-временем или дату в число типа UInt16, содержащее номер ISO года. ISO год отличается от обычного года, потому что в соответствии с [ISO 8601:1988](https://en.wikipedia.org/wiki/ISO_8601) ISO год начинается необязательно первого января.
 
-Пример:
+**Пример**
+
+Запрос:
 
 ```sql
 SELECT
@@ -331,6 +333,9 @@ SELECT
     toYear(date),
     toISOYear(date)
 ```
+
+Результат:
+
 ```text
 ┌───────date─┬─toYear(toDate('2017-01-01'))─┬─toISOYear(toDate('2017-01-01'))─┐
 │ 2017-01-01 │                         2017 │                            2016 │
@@ -344,12 +349,18 @@ SELECT
 
 1 Января 2017 г. - воскресение, т.е. первая ISO неделя 2017 года началась в понедельник 2 января, поэтому 1 января 2017 это последняя неделя 2016 года.
 
+**Пример**
+
+Запрос:
+
 ```sql
 SELECT
     toISOWeek(toDate('2017-01-01')) AS ISOWeek20170101,
     toISOWeek(toDate('2017-01-02')) AS ISOWeek20170102
 ```
 
+Результат:
+
 ```text
 ┌─ISOWeek20170101─┬─ISOWeek20170102─┐
 │              52 │               1 │
@@ -386,10 +397,14 @@ SELECT
 
 **Пример**
 
+Запрос:
+
 ```sql
 SELECT toDate('2016-12-27') AS date, toWeek(date) AS week0, toWeek(date,1) AS week1, toWeek(date,9) AS week9;
 ```
 
+Результат:
+
 ```text
 ┌───────date─┬─week0─┬─week1─┬─week9─┐
 │ 2016-12-27 │    52 │    52 │     1 │
@@ -405,10 +420,14 @@ SELECT toDate('2016-12-27') AS date, toWeek(date) AS week0, toWeek(date,1) AS we
 
 **Пример**
 
+Запрос:
+
 ```sql
 SELECT toDate('2016-12-27') AS date, toYearWeek(date) AS yearWeek0, toYearWeek(date,1) AS yearWeek1, toYearWeek(date,9) AS yearWeek9;
 ```
 
+Результат:
+
 ```text
 ┌───────date─┬─yearWeek0─┬─yearWeek1─┬─yearWeek9─┐
 │ 2016-12-27 │    201652 │    201652 │    201701 │
@@ -591,7 +610,7 @@ dateDiff('unit', startdate, enddate, [timezone])
 SELECT dateDiff('hour', toDateTime('2018-01-01 22:00:00'), toDateTime('2018-01-02 23:00:00'));
 ```
 
-Ответ:
+Результат:
 
 ``` text
 ┌─dateDiff('hour', toDateTime('2018-01-01 22:00:00'), toDateTime('2018-01-02 23:00:00'))─┐
@@ -672,10 +691,10 @@ formatDateTime(Time, Format\[, Timezone\])
 Запрос:
 
 ``` sql
-SELECT formatDateTime(toDate('2010-01-04'), '%g')
+SELECT formatDateTime(toDate('2010-01-04'), '%g');
 ```
 
-Ответ:
+Результат:
 
 ```
 ┌─formatDateTime(toDate('2010-01-04'), '%g')─┐
@@ -683,4 +702,43 @@ SELECT formatDateTime(toDate('2010-01-04'), '%g')
 └────────────────────────────────────────────┘
 ```
 
+## FROM\_UNIXTIME {#fromunixtime}
+
+Функция преобразует Unix timestamp в календарную дату и время. 
+
+**Примеры**
+
+Если указан только один аргумент типа [Integer](../../sql-reference/data-types/int-uint.md), то функция действует так же, как [toDateTime](../../sql-reference/functions/type-conversion-functions.md#todatetime), и возвращает тип [DateTime](../../sql-reference/data-types/datetime.md).
+
+Запрос:
+
+```sql
+SELECT FROM_UNIXTIME(423543535);
+```
+
+Результат:
+
+```text
+┌─FROM_UNIXTIME(423543535)─┐
+│      1983-06-04 10:58:55 │
+└──────────────────────────┘
+```
+
+В случае, когда есть два аргумента: первый типа [Integer](../../sql-reference/data-types/int-uint.md) или [DateTime](../../sql-reference/data-types/datetime.md), а второй является строкой постоянного формата — функция работает также, как [formatDateTime](#formatdatetime), и возвращает значение типа [String](../../sql-reference/data-types/string.md#string).
+
+
+Запрос:
+
+```sql
+SELECT FROM_UNIXTIME(1234334543, '%Y-%m-%d %R:%S') AS DateTime;
+```
+
+Результат:
+
+```text
+┌─DateTime────────────┐
+│ 2009-02-11 14:42:23 │
+└─────────────────────┘
+```
+
 [Оригинальная статья](https://clickhouse.tech/docs/ru/query_language/functions/date_time_functions/) <!--hide-->