Fix links of array functions

docs/getting-started/example-datasets/recipes.md

@@ -187,7 +187,7 @@ Result:
 10 rows in set. Elapsed: 0.215 sec. Processed 2.23 million rows, 1.48 GB (10.35 million rows/s., 6.86 GB/s.)
 ```
 
-In this example, we involve [has](../../sql-reference/functions/array-functions.md#hasarr-elem) function to filter by array elements and sort by the number of directions.
+In this example, we involve [has](../../sql-reference/functions/array-functions.md#has) function to filter by array elements and sort by the number of directions.
 
 There is a wedding cake that requires the whole 126 steps to produce! Show that directions:
 

docs/guides/examples/aggregate_function_combinators/sumArray.md

@@ -51,6 +51,6 @@ same result as `arraySum`.
 
 ## See also {#see-also}
 - [`sum`](/sql-reference/aggregate-functions/reference/sum)
-- [`arraySum`](/sql-reference/functions/array-functions#arraysum)
+- [`arraySum`](/sql-reference/functions/array-functions#arraySum)
 - [`Array combinator`](/sql-reference/aggregate-functions/combinators#-array)
 - [`sumMap`](/examples/aggregate-function-combinators/sumMap)

docs/integrations/data-ingestion/data-formats/json/other.md

@@ -643,7 +643,7 @@ FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/http/document
 0 rows in set. Elapsed: 12.121 sec. Processed 10.00 million rows, 107.30 MB (825.01 thousand rows/s., 8.85 MB/s.)
 ```
 
-Querying this structure requires using the [`indexOf`](/sql-reference/functions/array-functions#indexofarr-x) function to identify the index of the required key (which should be consistent with the order of the values). This can be used to access the values array column i.e. `values[indexOf(keys, 'status')]`. We still require a JSON parsing method for the request column - in this case, `simpleJSONExtractString`.
+Querying this structure requires using the [`indexOf`](/sql-reference/functions/array-functions#indexOf) function to identify the index of the required key (which should be consistent with the order of the values). This can be used to access the values array column i.e. `values[indexOf(keys, 'status')]`. We still require a JSON parsing method for the request column - in this case, `simpleJSONExtractString`.
 
 ```sql
 SELECT toUInt16(values[indexOf(keys, 'status')])                           as status,

docs/migrations/bigquery/equivalent-concepts.md

@@ -159,17 +159,17 @@
 
 A typical design pattern in ClickHouse is to use the [`groupArray`](/sql-reference/aggregate-functions/reference/grouparray) aggregate function to (temporarily) transform specific row values of a table into an array. This then can be conveniently processed via array functions, and the result can be converted back into individual table rows via [`arrayJoin`](/sql-reference/functions/array-join) aggregate function.
 
-Because ClickHouse SQL supports [higher order lambda functions](/sql-reference/functions/overview#arrow-operator-and-lambda), many advanced array operations can be achieved by simply calling one of the higher order built-in array functions, instead of temporarily converting arrays back to tables, as it is often [required](https://cloud.google.com/bigquery/docs/arrays) in BigQuery, e.g. for [filtering](https://cloud.google.com/bigquery/docs/arrays#filtering_arrays) or [zipping](https://cloud.google.com/bigquery/docs/arrays#zipping_arrays) arrays. In ClickHouse these operations are just a simple function call of the higher order functions [`arrayFilter`](/sql-reference/functions/array-functions#arrayfilterfunc-arr1-), and [`arrayZip`](/sql-reference/functions/array-functions#arrayzip), respectively.
+Because ClickHouse SQL supports [higher order lambda functions](/sql-reference/functions/overview#arrow-operator-and-lambda), many advanced array operations can be achieved by simply calling one of the higher order built-in array functions, instead of temporarily converting arrays back to tables, as it is often [required](https://cloud.google.com/bigquery/docs/arrays) in BigQuery, e.g. for [filtering](https://cloud.google.com/bigquery/docs/arrays#filtering_arrays) or [zipping](https://cloud.google.com/bigquery/docs/arrays#zipping_arrays) arrays. In ClickHouse these operations are just a simple function call of the higher order functions [`arrayFilter`](/sql-reference/functions/array-functions#arrayFilter), and [`arrayZip`](/sql-reference/functions/array-functions#arrayZip), respectively.
 
 In the following, we provide a mapping of array operations from BigQuery to ClickHouse:
 
 | BigQuery | ClickHouse |
 |----------|------------|
-| [ARRAY_CONCAT](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#array_concat) | [arrayConcat](/sql-reference/functions/array-functions#arrayconcat) |
+| [ARRAY_CONCAT](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#array_concat) | [arrayConcat](/sql-reference/functions/array-functions#arrayConcat) |
 | [ARRAY_LENGTH](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#array_length) | [length](/sql-reference/functions/array-functions#length) |
-| [ARRAY_REVERSE](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#array_reverse) | [arrayReverse](/sql-reference/functions/array-functions#arrayreverse) |
+| [ARRAY_REVERSE](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#array_reverse) | [arrayReverse](/sql-reference/functions/array-functions#arrayReverse) |
 | [ARRAY_TO_STRING](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#array_to_string) | [arrayStringConcat](/sql-reference/functions/splitting-merging-functions#arraystringconcat) |
-| [GENERATE_ARRAY](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#generate_array) | [range](/sql-reference/functions/array-functions#rangeend-rangestart--end--step) |
+| [GENERATE_ARRAY](https://cloud.google.com/bigquery/docs/reference/standard-sql/array_functions#generate_array) | [range](/sql-reference/functions/array-functions#range) |
 
 **Create an array with one element for each row in a subquery**
 
@@ -276,7 +276,7 @@
  *--------------------------------------------------*/
 ```
 
-[range](/sql-reference/functions/array-functions#rangeend-rangestart--end--step) + [arrayMap](/sql-reference/functions/array-functions#arraymapfunc-arr1-) functions
+[range](/sql-reference/functions/array-functions#range) + [arrayMap](/sql-reference/functions/array-functions#arrayMap) functions
 
 _ClickHouse_
 
@@ -307,7 +307,7 @@
 
 _ClickHouse_
 
-[range](/sql-reference/functions/array-functions#rangeend-rangestart--end--step) + [arrayMap](/sql-reference/functions/array-functions#arraymapfunc-arr1-) functions
+[range](/sql-reference/functions/array-functions#range) + [arrayMap](/sql-reference/functions/array-functions#arrayMap) functions
 
 ```sql
 SELECT arrayMap(x -> (toDateTime('2016-10-05 00:00:00') + toIntervalDay(x)), range(dateDiff('day', toDateTime('2016-10-05 00:00:00'), toDateTime('2016-10-07 00:00:00')) + 1)) AS timestamp_array
@@ -347,7 +347,7 @@
 
 _ClickHouse_
 
-[arrayFilter](/sql-reference/functions/array-functions#arrayfilterfunc-arr1-) function
+[arrayFilter](/sql-reference/functions/array-functions#arrayFilter) function
 
 ```sql
 WITH Sequences AS
@@ -408,7 +408,7 @@
 
 _ClickHouse_
 
-[arrayZip](/sql-reference/functions/array-functions#arrayzip) function
+[arrayZip](/sql-reference/functions/array-functions#arrayZip) function
 
 ```sql
 WITH Combinations AS
@@ -451,7 +451,7 @@
 
 _ClickHouse_
 
-[arraySum](/sql-reference/functions/array-functions#arraysum), [arrayAvg](/sql-reference/functions/array-functions#arrayavg), ... function, or any of the over 90 existing aggregate function names as argument for the [arrayReduce](/sql-reference/functions/array-functions#arrayreduce) function
+[arraySum](/sql-reference/functions/array-functions#arraySum), [arrayAvg](/sql-reference/functions/array-functions#arrayAvg), ... function, or any of the over 90 existing aggregate function names as argument for the [arrayReduce](/sql-reference/functions/array-functions#arrayReduce) function
 
 ```sql
 WITH Sequences AS