Merge branch 'master' into async-loader-waiters-limit

2024-09-20 08:40:50 +00:00 · 2024-03-11 11:22:09 +00:00 · 2024-03-11 11:22:09 +00:00 · 294526e772
commit 294526e772
parent 5b796e1f42 a0727ba0af
7 changed files with 617 additions and 93 deletions
--- a/docs/en/sql-reference/functions/array-functions.md
+++ b/docs/en/sql-reference/functions/array-functions.md
@ -19,7 +19,7 @@ empty([x])
 An array is considered empty if it does not contain any elements.

 :::note
-Can be optimized by enabling the [optimize_functions_to_subcolumns](../../operations/settings/settings.md#optimize-functions-to-subcolumns) setting. With `optimize_functions_to_subcolumns = 1` the function reads only [size0](../../sql-reference/data-types/array.md#array-size) subcolumn instead of reading and processing the whole array column. The query `SELECT empty(arr) FROM TABLE;` transforms to `SELECT arr.size0 = 0 FROM TABLE;`.
+Can be optimized by enabling the [`optimize_functions_to_subcolumns` setting](../../operations/settings/settings.md#optimize-functions-to-subcolumns). With `optimize_functions_to_subcolumns = 1` the function reads only [size0](../../sql-reference/data-types/array.md#array-size) subcolumn instead of reading and processing the whole array column. The query `SELECT empty(arr) FROM TABLE;` transforms to `SELECT arr.size0 = 0 FROM TABLE;`.
 :::

 The function also works for [strings](string-functions.md#empty) or [UUID](uuid-functions.md#empty).
@ -104,17 +104,416 @@ Can be optimized by enabling the [optimize_functions_to_subcolumns](../../operat

 Alias: `OCTET_LENGTH`

-## emptyArrayUInt8, emptyArrayUInt16, emptyArrayUInt32, emptyArrayUInt64
+## emptyArrayUInt8

-## emptyArrayInt8, emptyArrayInt16, emptyArrayInt32, emptyArrayInt64
+Returns an empty UInt8 array.

-## emptyArrayFloat32, emptyArrayFloat64
+**Syntax**

-## emptyArrayDate, emptyArrayDateTime
+```sql
+emptyArrayUInt8()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayUInt8();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayUInt16
+
+Returns an empty UInt16 array.
+
+**Syntax**
+
+```sql
+emptyArrayUInt16()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayUInt16();
+
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayUInt32
+
+Returns an empty UInt32 array.
+
+**Syntax**
+
+```sql
+emptyArrayUInt32()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayUInt32();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayUInt64
+
+Returns an empty UInt64 array.
+
+**Syntax**
+
+```sql
+emptyArrayUInt64()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayUInt64();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayInt8
+
+Returns an empty Int8 array.
+
+**Syntax**
+
+```sql
+emptyArrayInt8()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayInt8();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayInt16
+
+Returns an empty Int16 array.
+
+**Syntax**
+
+```sql
+emptyArrayInt16()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayInt16();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayInt32
+
+Returns an empty Int32 array.
+
+**Syntax**
+
+```sql
+emptyArrayInt32()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayInt32();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayInt64
+
+Returns an empty Int64 array.
+
+**Syntax**
+
+```sql
+emptyArrayInt64()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayInt64();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayFloat32 
+
+Returns an empty Float32 array.
+
+**Syntax**
+
+```sql
+emptyArrayFloat32()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayFloat32();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayFloat64
+
+Returns an empty Float64 array.
+
+**Syntax**
+
+```sql
+emptyArrayFloat64()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayFloat64();
+```
+
+Result:
+
+```response
+[]
+```
+
+## emptyArrayDate
+
+Returns an empty Date array.
+
+**Syntax**
+
+```sql
+emptyArrayDate()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayDate();
+```
+
+## emptyArrayDateTime
+
+Returns an empty DateTime array.
+
+**Syntax**
+
+```sql
+[]
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayDateTime();
+```
+
+Result:
+
+```response
+[]
+```

 ## emptyArrayString

-Accepts zero arguments and returns an empty array of the appropriate type.
+Returns an empty String array.
+
+**Syntax**
+
+```sql
+emptyArrayString()
+```
+
+**Arguments**
+
+None.
+
+**Returned value**
+
+An empty array.
+
+**Examples**
+
+Query:
+
+```sql
+SELECT emptyArrayString();
+```
+
+Result:
+
+```response
+[]
+```

 ## emptyArrayToSingle

--- a/docs/en/sql-reference/functions/random-functions.md
+++ b/docs/en/sql-reference/functions/random-functions.md
@ -11,79 +11,173 @@ elimination](../../sql-reference/functions/index.md#common-subexpression-elimina
 function return different random values.

 Related content
+
 - Blog: [Generating random data in ClickHouse](https://clickhouse.com/blog/generating-random-test-distribution-data-for-clickhouse)

 :::note
 The random numbers are generated by non-cryptographic algorithms.
 :::

-## rand, rand32
+## rand

-Returns a random UInt32 number, evenly distributed across the range of all possible UInt32 numbers.
+Returns a random UInt32 number with uniform distribution.

-Uses a linear congruential generator.
+Uses a linear congruential generator with an initial state obtained from the system, which means that while it appears random, it's not truly random and can be predictable if the initial state is known. For scenarios where true randomness is crucial, consider using alternative methods like system-level calls or integrating with external libraries.
+
+### Syntax
+
+```sql
+rand()
+```
+
+Alias: `rand32`
+
+### Arguments
+
+None.
+
+### Returned value
+
+Returns a number of type UInt32.
+
+### Example
+
+```sql
+SELECT rand();
+```
+
+```response
+1569354847 -- Note: The actual output will be a random number, not the specific number shown in the example
+```

 ## rand64

-Returns a random UInt64 number, evenly distributed across the range of all possible UInt64 numbers.
+Returns a random UInt64 integer (UInt64) number

-Uses a linear congruential generator.
+### Syntax
+
+```sql
+rand64()
+```
+
+### Arguments
+
+None.
+
+### Returned value
+
+Returns a number UInt64 number with uniform distribution.
+
+Uses a linear congruential generator with an initial state obtained from the system, which means that while it appears random, it's not truly random and can be predictable if the initial state is known. For scenarios where true randomness is crucial, consider using alternative methods like system-level calls or integrating with external libraries.
+
+### Example
+
+```sql
+SELECT rand64();
+```
+
+```response
+15030268859237645412 -- Note: The actual output will be a random number, not the specific number shown in the example.
+```

 ## randCanonical

-Returns a random Float64 value, evenly distributed in interval [0, 1).
+Returns a random Float64 number.
+
+### Syntax
+
+```sql
+randCanonical()
+```
+
+### Arguments
+
+None.
+
+### Returned value
+
+Returns a Float64 value between 0 (inclusive) and 1 (exclusive).
+
+### Example
+
+```sql
+SELECT randCanonical();
+```
+
+```response
+0.3452178901234567 - Note: The actual output will be a random Float64 number between 0 and 1, not the specific number shown in the example.
+```

 ## randConstant

-Like `rand` but produces a constant column with a random value.
+Generates a single constant column filled with a random value. Unlike `rand`, this function ensures the same random value appears in every row of the generated column, making it useful for scenarios requiring a consistent random seed across rows in a single query.

-**Example**
+### Syntax

-``` sql
-SELECT rand(), rand(1), rand(number), randConstant(), randConstant(1), randConstant(number)
-FROM numbers(3)
+```sql
+randConstant([x]);
 ```

-Result:
+### Arguments

-``` result
-┌─────rand()─┬────rand(1)─┬─rand(number)─┬─randConstant()─┬─randConstant(1)─┬─randConstant(number)─┐
-│ 3047369878 │ 4132449925 │   4044508545 │     2740811946 │      4229401477 │           1924032898 │
-│ 2938880146 │ 1267722397 │   4154983056 │     2740811946 │      4229401477 │           1924032898 │
-│  956619638 │ 4238287282 │   1104342490 │     2740811946 │      4229401477 │           1924032898 │
-└────────────┴────────────┴──────────────┴────────────────┴─────────────────┴──────────────────────┘
+- **[x] (Optional):** An optional expression that influences the generated random value. Even if provided, the resulting value will still be constant within the same query execution. Different queries using the same expression will likely generate different constant values.
+
+### Returned value
+
+Returns a column of type UInt32 containing the same random value in each row.
+
+### Implementation details
+
+The actual output will be different for each query execution, even with the same optional expression. The optional parameter may not significantly change the generated value compared to using `randConstant` alone.
+
+### Examples
+
+```sql
+SELECT randConstant() AS random_value;
+```
+
+```response
+| random_value |
+|--------------|
+| 1234567890   |
+```
+
+```sql
+SELECT randConstant(10) AS random_value;
+```
+
+```response
+| random_value |
+|--------------|
+| 9876543210   |
 ```

 ## randUniform

-Returns a random Float64 drawn uniformly from interval [`min`, `max`) ([continuous uniform distribution](https://en.wikipedia.org/wiki/Continuous_uniform_distribution)).
+Returns a random Float64 drawn uniformly from interval [`min`, `max`].

-**Syntax**
+### Syntax

-``` sql
+```sql
 randUniform(min, max)
 ```

-**Arguments**
+### Arguments

 - `min` - `Float64` - left boundary of the range,
 - `max` - `Float64` - right boundary of the range.

-**Returned value**
+### Returned value

- Random number.
+A random number of type [Float64](/docs/en/sql-reference/data-types/float.md).

-Type: [Float64](/docs/en/sql-reference/data-types/float.md).
+### Example

-**Example**
-
-``` sql
+```sql
 SELECT randUniform(5.5, 10) FROM numbers(5)
 ```

-Result:
-
-``` result
+```response
 ┌─randUniform(5.5, 10)─┐
 │    8.094978491443102 │
 │   7.3181248914450885 │
@ -99,7 +193,7 @@ Returns a random Float64 drawn from a [normal distribution](https://en.wikipedia

 **Syntax**

-``` sql
+```sql
 randNormal(mean, variance)
 ```

@ -116,13 +210,13 @@ Type: [Float64](/docs/en/sql-reference/data-types/float.md).

 **Example**

-``` sql
+```sql
 SELECT randNormal(10, 2) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌──randNormal(10, 2)─┐
 │ 13.389228911709653 │
 │  8.622949707401295 │
@ -138,7 +232,7 @@ Returns a random Float64 drawn from a [log-normal distribution](https://en.wikip

 **Syntax**

-``` sql
+```sql
 randLogNormal(mean, variance)
 ```

@ -155,13 +249,13 @@ Type: [Float64](/docs/en/sql-reference/data-types/float.md).

 **Example**

-``` sql
+```sql
 SELECT randLogNormal(100, 5) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randLogNormal(100, 5)─┐
 │  1.295699673937363e48 │
 │  9.719869109186684e39 │
@ -177,7 +271,7 @@ Returns a random UInt64 drawn from a [binomial distribution](https://en.wikipedi

 **Syntax**

-``` sql
+```sql
 randBinomial(experiments, probability)
 ```

@ -194,13 +288,13 @@ Type: [UInt64](/docs/en/sql-reference/data-types/int-uint.md).

 **Example**

-``` sql
+```sql
 SELECT randBinomial(100, .75) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randBinomial(100, 0.75)─┐
 │                      74 │
 │                      78 │
@ -216,7 +310,7 @@ Returns a random UInt64 drawn from a [negative binomial distribution](https://en

 **Syntax**

-``` sql
+```sql
 randNegativeBinomial(experiments, probability)
 ```

@ -233,13 +327,13 @@ Type: [UInt64](/docs/en/sql-reference/data-types/int-uint.md).

 **Example**

-``` sql
+```sql
 SELECT randNegativeBinomial(100, .75) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randNegativeBinomial(100, 0.75)─┐
 │                              33 │
 │                              32 │
@ -255,7 +349,7 @@ Returns a random UInt64 drawn from a [Poisson distribution](https://en.wikipedia

 **Syntax**

-``` sql
+```sql
 randPoisson(n)
 ```

@ -271,13 +365,13 @@ Type: [UInt64](/docs/en/sql-reference/data-types/int-uint.md).

 **Example**

-``` sql
+```sql
 SELECT randPoisson(10) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randPoisson(10)─┐
 │               8 │
 │               8 │
@ -293,7 +387,7 @@ Returns a random UInt64 drawn from a [Bernoulli distribution](https://en.wikiped

 **Syntax**

-``` sql
+```sql
 randBernoulli(probability)
 ```

@ -309,13 +403,13 @@ Type: [UInt64](/docs/en/sql-reference/data-types/int-uint.md).

 **Example**

-``` sql
+```sql
 SELECT randBernoulli(.75) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randBernoulli(0.75)─┐
 │                   1 │
 │                   1 │
@ -331,7 +425,7 @@ Returns a random Float64 drawn from a [exponential distribution](https://en.wiki

 **Syntax**

-``` sql
+```sql
 randExponential(lambda)
 ```

@ -347,13 +441,13 @@ Type: [Float64](/docs/en/sql-reference/data-types/float.md).

 **Example**

-``` sql
+```sql
 SELECT randExponential(1/10) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randExponential(divide(1, 10))─┐
 │              44.71628934340778 │
 │              4.211013337903262 │
@ -369,7 +463,7 @@ Returns a random Float64 drawn from a [Chi-square distribution](https://en.wikip

 **Syntax**

-``` sql
+```sql
 randChiSquared(degree_of_freedom)
 ```

@ -385,13 +479,13 @@ Type: [Float64](/docs/en/sql-reference/data-types/float.md).

 **Example**

-``` sql
+```sql
 SELECT randChiSquared(10) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─randChiSquared(10)─┐
 │ 10.015463656521543 │
 │  9.621799919882768 │
@ -407,7 +501,7 @@ Returns a random Float64 drawn from a [Student's t-distribution](https://en.wiki

 **Syntax**

-``` sql
+```sql
 randStudentT(degree_of_freedom)
 ```

@ -423,13 +517,13 @@ Type: [Float64](/docs/en/sql-reference/data-types/float.md).

 **Example**

-``` sql
+```sql
 SELECT randStudentT(10) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌─────randStudentT(10)─┐
 │   1.2217309938538725 │
 │   1.7941971681200541 │
@ -445,7 +539,7 @@ Returns a random Float64 drawn from a [F-distribution](https://en.wikipedia.org/

 **Syntax**

-``` sql
+```sql
 randFisherF(d1, d2)
 ```

@ -462,13 +556,13 @@ Type: [Float64](/docs/en/sql-reference/data-types/float.md).

 **Example**

-``` sql
+```sql
 SELECT randFisherF(10, 3) FROM numbers(5)
 ```

 Result:

-``` result
+```result
 ┌──randFisherF(10, 3)─┐
 │   7.286287504216609 │
 │ 0.26590779413050386 │
@ -484,7 +578,7 @@ Generates a string of the specified length filled with random bytes (including z

 **Syntax**

-``` sql
+```sql
 randomString(length)
 ```

@ -502,13 +596,13 @@ Type: [String](../../sql-reference/data-types/string.md).

 Query:

-``` sql
+```sql
 SELECT randomString(30) AS str, length(str) AS len FROM numbers(2) FORMAT Vertical;
 ```

 Result:

-``` text
+```text
 Row 1:
 ──────
 str: 3 G  :   pT ?w тi  k aV f6
@ -526,7 +620,7 @@ Generates a binary string of the specified length filled with random bytes (incl

 **Syntax**

-``` sql
+```sql
 randomFixedString(length);
 ```

@ -563,7 +657,7 @@ If you pass `length < 0`, the behavior of the function is undefined.

 **Syntax**

-``` sql
+```sql
 randomPrintableASCII(length)
 ```

@ -579,11 +673,11 @@ Type: [String](../../sql-reference/data-types/string.md)

 **Example**

-``` sql
+```sql
 SELECT number, randomPrintableASCII(30) as str, length(str) FROM system.numbers LIMIT 3
 ```

-``` text
+```text
 ┌─number─┬─str────────────────────────────┬─length(randomPrintableASCII(30))─┐
 │      0 │ SuiCOSTvC0csfABSw=UcSzp2.`rv8x │                               30 │
 │      1 │ 1Ag NlJ &RCN:*>HVPG;PE-nO"SUFD │                               30 │
@ -597,7 +691,7 @@ Generates a random string of a specified length. Result string contains valid UT

 **Syntax**

-``` sql
+```sql
 randomStringUTF8(length);
 ```

@ -635,11 +729,12 @@ Flips the bits of String or FixedString `s`, each with probability `prob`.

 **Syntax**

-``` sql
+```sql
 fuzzBits(s, prob)
 ```

 **Arguments**
+
 - `s` - `String` or `FixedString`,
 - `prob` - constant `Float32/64` between 0.0 and 1.0.

@ -649,14 +744,14 @@ Fuzzed string with same type as `s`.

 **Example**

-``` sql
+```sql
 SELECT fuzzBits(materialize('abacaba'), 0.1)
 FROM numbers(3)
 ```

 Result:

-``` result
+```result
 ┌─fuzzBits(materialize('abacaba'), 0.1)─┐
 │ abaaaja                               │
 │ a*cjab+                               │
--- a/docs/en/sql-reference/functions/type-conversion-functions.md
+++ b/docs/en/sql-reference/functions/type-conversion-functions.md
@ -968,7 +968,7 @@ Converts a numeric value to String with the number of fractional digits in the o
 toDecimalString(number, scale)
 ```

-**Parameters**
+**Arguments**

 - `number` — Value to be represented as String, [Int, UInt](/docs/en/sql-reference/data-types/int-uint.md), [Float](/docs/en/sql-reference/data-types/float.md), [Decimal](/docs/en/sql-reference/data-types/decimal.md),
 - `scale` — Number of fractional digits, [UInt8](/docs/en/sql-reference/data-types/int-uint.md).
@ -1261,7 +1261,7 @@ Converts input value `x` to the specified data type `T`. Always returns [Nullabl
 accurateCastOrNull(x, T)
 ```

-**Parameters**
+**Arguments**

 - `x` — Input value.
 - `T` — The name of the returned data type.
@ -1314,7 +1314,7 @@ Converts input value `x` to the specified data type `T`. Returns default type va
 accurateCastOrDefault(x, T)
 ```

-**Parameters**
+**Arguments**

 - `x` — Input value.
 - `T` — The name of the returned data type.
@ -1675,7 +1675,7 @@ Same as [parseDateTimeBestEffort](#parsedatetimebesteffort) function but also pa
 parseDateTime64BestEffort(time_string [, precision [, time_zone]])
 ```

-**Parameters**
+**Arguments**

 - `time_string` — String containing a date or date with time to convert. [String](/docs/en/sql-reference/data-types/string.md).
 - `precision` — Required precision. `3` — for milliseconds, `6` — for microseconds. Default — `3`. Optional. [UInt8](/docs/en/sql-reference/data-types/int-uint.md).
@ -1990,7 +1990,7 @@ Extracts the timestamp component of a [Snowflake ID](https://en.wikipedia.org/wi
 snowflakeToDateTime(value[, time_zone])
 ```

-**Parameters**
+**Arguments**

 - `value` — Snowflake ID. [Int64](/docs/en/sql-reference/data-types/int-uint.md).
 - `time_zone` — [Timezone](/docs/en/operations/server-configuration-parameters/settings.md/#server_configuration_parameters-timezone). The function parses `time_string` according to the timezone. Optional. [String](/docs/en/sql-reference/data-types/string.md).
@ -2026,7 +2026,7 @@ Extracts the timestamp component of a [Snowflake ID](https://en.wikipedia.org/wi
 snowflakeToDateTime64(value[, time_zone])
 ```

-**Parameters**
+**Arguments**

 - `value` — Snowflake ID. [Int64](/docs/en/sql-reference/data-types/int-uint.md).
 - `time_zone` — [Timezone](/docs/en/operations/server-configuration-parameters/settings.md/#server_configuration_parameters-timezone). The function parses `time_string` according to the timezone. Optional. [String](/docs/en/sql-reference/data-types/string.md).
@ -2062,7 +2062,7 @@ Converts a [DateTime](/docs/en/sql-reference/data-types/datetime.md) value to th
 dateTimeToSnowflake(value)
 ```

-**Parameters**
+**Arguments**

 - `value` — Date with time. [DateTime](/docs/en/sql-reference/data-types/datetime.md).

@ -2096,7 +2096,7 @@ Convert a [DateTime64](/docs/en/sql-reference/data-types/datetime64.md) to the f
 dateTime64ToSnowflake(value)
 ```

-**Parameters**
+**Arguments**

 - `value` — Date with time. [DateTime64](/docs/en/sql-reference/data-types/datetime64.md).

--- a/docs/en/sql-reference/functions/url-functions.md
+++ b/docs/en/sql-reference/functions/url-functions.md
@ -155,7 +155,7 @@ Configuration example:
 cutToFirstSignificantSubdomain(URL, TLD)
 ```

-**Parameters**
+**Arguments**

 - `URL` — URL. [String](../../sql-reference/data-types/string.md).
 - `TLD` — Custom TLD list name. [String](../../sql-reference/data-types/string.md).
@ -209,7 +209,7 @@ Configuration example:
 cutToFirstSignificantSubdomainCustomWithWWW(URL, TLD)
 ```

-**Parameters**
+**Arguments**

 - `URL` — URL. [String](../../sql-reference/data-types/string.md).
 - `TLD` — Custom TLD list name. [String](../../sql-reference/data-types/string.md).
@ -263,7 +263,7 @@ Configuration example:
 firstSignificantSubdomainCustom(URL, TLD)
 ```

-**Parameters**
+**Arguments**

 - `URL` — URL. [String](../../sql-reference/data-types/string.md).
 - `TLD` — Custom TLD list name. [String](../../sql-reference/data-types/string.md).
--- a/src/Interpreters/InterpreterSelectQuery.cpp
+++ b/src/Interpreters/InterpreterSelectQuery.cpp
@ -2111,8 +2111,7 @@ void InterpreterSelectQuery::applyFiltersToPrewhereInAnalysis(ExpressionAnalysis
        if (does_storage_support_prewhere && shouldMoveToPrewhere())
        {
            /// Execute row level filter in prewhere as a part of "move to prewhere" optimization.
-            analysis.prewhere_info
-                = std::make_shared<PrewhereInfo>(std::move(analysis.filter_info->actions), std::move(analysis.filter_info->column_name));
+            analysis.prewhere_info = std::make_shared<PrewhereInfo>(analysis.filter_info->actions, analysis.filter_info->column_name);
            analysis.prewhere_info->prewhere_actions->projectInput(false);
            analysis.prewhere_info->remove_prewhere_column = analysis.filter_info->do_remove_column;
            analysis.prewhere_info->need_filter = true;
@ -2122,8 +2121,8 @@ void InterpreterSelectQuery::applyFiltersToPrewhereInAnalysis(ExpressionAnalysis
    else
    {
        /// Add row level security actions to prewhere.
-        analysis.prewhere_info->row_level_filter = std::move(analysis.filter_info->actions);
-        analysis.prewhere_info->row_level_column_name = std::move(analysis.filter_info->column_name);
+        analysis.prewhere_info->row_level_filter = analysis.filter_info->actions;
+        analysis.prewhere_info->row_level_column_name = analysis.filter_info->column_name;
        analysis.prewhere_info->row_level_filter->projectInput(false);
        analysis.filter_info = nullptr;
    }
--- a/tests/queries/0_stateless/03006_parallel_replicas_prewhere.reference
+++ b/tests/queries/0_stateless/03006_parallel_replicas_prewhere.reference
--- a/tests/queries/0_stateless/03006_parallel_replicas_prewhere.sql
+++ b/tests/queries/0_stateless/03006_parallel_replicas_prewhere.sql
@ -0,0 +1,31 @@
+DROP POLICY IF EXISTS url_na_log_policy0 ON url_na_log;
+DROP TABLE IF EXISTS url_na_log;
+
+CREATE TABLE url_na_log
+(
+    `SiteId` UInt32,
+    `DateVisit` Date
+)
+ENGINE = MergeTree
+PRIMARY KEY SiteId
+ORDER BY (SiteId, DateVisit)
+SETTINGS index_granularity = 1000, min_bytes_for_wide_part = 0;
+
+CREATE ROW POLICY url_na_log_policy0 ON url_na_log FOR SELECT USING (DateVisit < '2022-08-11') OR (DateVisit > '2022-08-19') TO default;
+
+INSERT INTO url_na_log
+SETTINGS max_insert_block_size = 200000
+SELECT
+    209,
+    CAST('2022-08-09', 'Date') + toIntervalDay(intDiv(number, 10000))
+FROM numbers(130000)
+SETTINGS max_insert_block_size = 200000;
+
+EXPLAIN ESTIMATE
+SELECT count()
+FROM url_na_log
+PREWHERE (DateVisit >= toFixedString('2022-08-10', 10)) AND (DateVisit <= '2022-08-20')
+SETTINGS max_block_size = 1048576, max_threads = 1, allow_experimental_parallel_reading_from_replicas = 1, parallel_replicas_for_non_replicated_merge_tree = 1, cluster_for_parallel_replicas = 'test_cluster_one_shard_three_replicas_localhost', max_parallel_replicas = 3, parallel_replicas_min_number_of_rows_per_replica=10000;
+
+DROP POLICY url_na_log_policy0 ON url_na_log;
+DROP TABLE url_na_log;