Merge branch 'master' of github.com:ClickHouse/ClickHouse into keen-wolf-filefuncwithreadbuf

This commit is contained in:
Nikita Mikhailov 2021-02-16 15:38:03 +03:00
commit 6ee98ead05
33 changed files with 891 additions and 98 deletions

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@ -56,7 +56,7 @@ $ echo 'SELECT version()' | curl 'http://localhost:8123/' --data-binary @-
20.12.3.3
```
### Volumes
### Volumes
Typically you may want to mount the following folders inside your container to archieve persistency:
@ -76,7 +76,7 @@ You may also want to mount:
* `/etc/clickhouse-server/usert.d/*.xml` - files with use settings adjustmenets
* `/docker-entrypoint-initdb.d/` - folder with database initialization scripts (see below).
### Linux capabilities
### Linux capabilities
ClickHouse has some advanced functionality which requite enabling several [linux capabilities](https://man7.org/linux/man-pages/man7/capabilities.7.html).
@ -113,10 +113,10 @@ $ docker run --rm -e CLICKHOUSE_UID=0 -e CLICKHOUSE_GID=0 --name clickhouse-serv
### How to create default database and user on starting
Sometimes you may want to create user (user named `default` is used by default) and database on image starting. You can do it using environment variables `CLICKHOUSE_DB`, `CLICKHOUSE_USER` and `CLICKHOUSE_PASSWORD`:
Sometimes you may want to create user (user named `default` is used by default) and database on image starting. You can do it using environment variables `CLICKHOUSE_DB`, `CLICKHOUSE_USER`, `CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT` and `CLICKHOUSE_PASSWORD`:
```
$ docker run --rm -e CLICKHOUSE_DB=my_database -e CLICKHOUSE_USER=username -e CLICKHOUSE_PASSWORD=password -p 9000:9000/tcp yandex/clickhouse-server
$ docker run --rm -e CLICKHOUSE_DB=my_database -e CLICKHOUSE_USER=username -e CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1 -e CLICKHOUSE_PASSWORD=password -p 9000:9000/tcp yandex/clickhouse-server
```
## How to extend this image

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@ -54,6 +54,7 @@ FORMAT_SCHEMA_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_
CLICKHOUSE_USER="${CLICKHOUSE_USER:-default}"
CLICKHOUSE_PASSWORD="${CLICKHOUSE_PASSWORD:-}"
CLICKHOUSE_DB="${CLICKHOUSE_DB:-}"
CLICKHOUSE_ACCESS_MANAGEMENT="${CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT:-0}"
for dir in "$DATA_DIR" \
"$ERROR_LOG_DIR" \
@ -97,6 +98,7 @@ if [ -n "$CLICKHOUSE_USER" ] && [ "$CLICKHOUSE_USER" != "default" ] || [ -n "$CL
</networks>
<password>${CLICKHOUSE_PASSWORD}</password>
<quota>default</quota>
<access_management>${CLICKHOUSE_ACCESS_MANAGEMENT}</access_management>
</${CLICKHOUSE_USER}>
</users>
</yandex>

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@ -0,0 +1,29 @@
---
toc_priority:
toc_title:
---
# data_type_name {#data_type-name}
Description.
**Parameters** (Optional)
- `x` — Description. [Type name](relative/path/to/type/dscr.md#type).
- `y` — Description. [Type name](relative/path/to/type/dscr.md#type).
**Examples**
```sql
```
## Additional Info {#additional-info} (Optional)
The name of an additional section can be any, for example, **Usage**.
**See Also** (Optional)
- [link](#)
[Original article](https://clickhouse.tech/docs/en/data_types/<data-type-name>/) <!--hide-->

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@ -2592,6 +2592,18 @@ Possible values:
Default value: `16`.
## opentelemetry_start_trace_probability {#opentelemetry-start-trace-probability}
Sets the probability that the ClickHouse can start a trace for executed queries (if no parent [trace context](https://www.w3.org/TR/trace-context/) is supplied).
Possible values:
- 0 — The trace for all executed queries is disabled (if no parent trace context is supplied).
- Positive floating-point number in the range [0..1]. For example, if the setting value is `0,5`, ClickHouse can start a trace on average for half of the queries.
- 1 — The trace for all executed queries is enabled.
Default value: `0`.
## optimize_on_insert {#optimize-on-insert}
Enables or disables data transformation before the insertion, as if merge was done on this block (according to table engine).

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@ -0,0 +1,53 @@
# system.opentelemetry_span_log {#system_tables-opentelemetry_span_log}
Contains information about [trace spans](https://opentracing.io/docs/overview/spans/) for executed queries.
Columns:
- `trace_id` ([UUID](../../sql-reference/data-types/uuid.md) — ID of the trace for executed query.
- `span_id` ([UInt64](../../sql-reference/data-types/int-uint.md)) — ID of the `trace span`.
- `parent_span_id` ([UInt64](../../sql-reference/data-types/int-uint.md)) — ID of the parent `trace span`.
- `operation_name` ([String](../../sql-reference/data-types/string.md)) — The name of the operation.
- `start_time_us` ([UInt64](../../sql-reference/data-types/int-uint.md)) — The start time of the `trace span` (in microseconds).
- `finish_time_us` ([UInt64](../../sql-reference/data-types/int-uint.md)) — The finish time of the `trace span` (in microseconds).
- `finish_date` ([Date](../../sql-reference/data-types/date.md)) — The finish date of the `trace span`.
- `attribute.names` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — [Attribute](https://opentelemetry.io/docs/go/instrumentation/#attributes) names depending on the `trace span`. They are filled in according to the recommendations in the [OpenTelemetry](https://opentelemetry.io/) standard.
- `attribute.values` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — Attribute values depending on the `trace span`. They are filled in according to the recommendations in the `OpenTelemetry` standard.
**Example**
Query:
``` sql
SELECT * FROM system.opentelemetry_span_log LIMIT 1 FORMAT Vertical;
```
Result:
``` text
Row 1:
──────
trace_id: cdab0847-0d62-61d5-4d38-dd65b19a1914
span_id: 701487461015578150
parent_span_id: 2991972114672045096
operation_name: DB::Block DB::InterpreterSelectQuery::getSampleBlockImpl()
start_time_us: 1612374594529090
finish_time_us: 1612374594529108
finish_date: 2021-02-03
attribute.names: []
attribute.values: []
```
**See Also**
- [OpenTelemetry](../../operations/opentelemetry.md)
[Original article](https://clickhouse.tech/docs/en/operations/system_tables/opentelemetry_span_log) <!--hide-->

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@ -0,0 +1,83 @@
---
toc_priority: 65
toc_title: Map(key, value)
---
# Map(key, value) {#data_type-map}
`Map(key, value)` data type stores `key:value` pairs.
**Parameters**
- `key` — The key part of the pair. [String](../../sql-reference/data-types/string.md) or [Integer](../../sql-reference/data-types/int-uint.md).
- `value` — The value part of the pair. [String](../../sql-reference/data-types/string.md), [Integer](../../sql-reference/data-types/int-uint.md) or [Array](../../sql-reference/data-types/array.md).
!!! warning "Warning"
Currently `Map` data type is an experimental feature. To work with it you must set `allow_experimental_map_type = 1`.
To get the value from an `a Map('key', 'value')` column, use `a['key']` syntax. This lookup works now with a linear complexity.
**Examples**
Consider the table:
``` sql
CREATE TABLE table_map (a Map(String, UInt64)) ENGINE=Memory;
INSERT INTO table_map VALUES ({'key1':1, 'key2':10}), ({'key1':2,'key2':20}), ({'key1':3,'key2':30});
```
Select all `key2` values:
```sql
SELECT a['key2'] FROM table_map;
```
Result:
```text
┌─arrayElement(a, 'key2')─┐
│ 10 │
│ 20 │
│ 30 │
└─────────────────────────┘
```
If there's no such `key` in the `Map()` column, the query returns zeros for numerical values, empty strings or empty arrays.
```sql
INSERT INTO table_map VALUES ({'key3':100}), ({});
SELECT a['key3'] FROM table_map;
```
Result:
```text
┌─arrayElement(a, 'key3')─┐
│ 100 │
│ 0 │
└─────────────────────────┘
┌─arrayElement(a, 'key3')─┐
│ 0 │
│ 0 │
│ 0 │
└─────────────────────────┘
```
## Convert Tuple to Map Type {#map-and-tuple}
You can cast `Tuple()` as `Map()` using [CAST](../../sql-reference/functions/type-conversion-functions.md#type_conversion_function-cast) function:
``` sql
SELECT CAST(([1, 2, 3], ['Ready', 'Steady', 'Go']), 'Map(UInt8, String)') AS map;
```
``` text
┌─map───────────────────────────┐
│ {1:'Ready',2:'Steady',3:'Go'} │
└───────────────────────────────┘
```
**See Also**
- [map()](../../sql-reference/functions/tuple-map-functions.md#function-map) function
- [CAST()](../../sql-reference/functions/type-conversion-functions.md#type_conversion_function-cast) function
[Original article](https://clickhouse.tech/docs/en/data-types/map/) <!--hide-->

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@ -5,6 +5,68 @@ toc_title: Working with maps
# Functions for maps {#functions-for-working-with-tuple-maps}
## map {#function-map}
Arranges `key:value` pairs into [Map(key, value)](../../sql-reference/data-types/map.md) data type.
**Syntax**
``` sql
map(key1, value1[, key2, value2, ...])
```
**Parameters**
- `key` — The key part of the pair. [String](../../sql-reference/data-types/string.md) or [Integer](../../sql-reference/data-types/int-uint.md).
- `value` — The value part of the pair. [String](../../sql-reference/data-types/string.md), [Integer](../../sql-reference/data-types/int-uint.md) or [Array](../../sql-reference/data-types/array.md).
**Returned value**
- Data structure as `key:value` pairs.
Type: [Map(key, value)](../../sql-reference/data-types/map.md).
**Examples**
Query:
``` sql
SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
```
Result:
``` text
┌─map('key1', number, 'key2', multiply(number, 2))─┐
│ {'key1':0,'key2':0} │
│ {'key1':1,'key2':2} │
│ {'key1':2,'key2':4} │
└──────────────────────────────────────────────────┘
```
Query:
``` sql
CREATE TABLE table_map (a Map(String, UInt64)) ENGINE = MergeTree() ORDER BY a;
INSERT INTO table_map SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
SELECT a['key2'] FROM table_map;
```
Result:
``` text
┌─arrayElement(a, 'key2')─┐
│ 0 │
│ 2 │
│ 4 │
└─────────────────────────┘
```
**See Also**
- [Map(key, value)](../../sql-reference/data-types/map.md) data type
## mapAdd {#function-mapadd}
Collect all the keys and sum corresponding values.
@ -112,4 +174,4 @@ Result:
└──────────────────────────────┴───────────────────────────────────┘
```
[Original article](https://clickhouse.tech/docs/en/query_language/functions/tuple-map-functions/) <!--hide-->
[Original article](https://clickhouse.tech/docs/en/sql-reference/functions/tuple-map-functions/) <!--hide-->

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@ -133,10 +133,9 @@ For example:
### cutToFirstSignificantSubdomainCustom {#cuttofirstsignificantsubdomaincustom}
Same as `cutToFirstSignificantSubdomain` but accept custom TLD list name, useful if:
Returns the part of the domain that includes top-level subdomains up to the first significant subdomain. Accepts custom [TLD list](https://en.wikipedia.org/wiki/List_of_Internet_top-level_domains) name.
- you need fresh TLD list,
- or you have custom.
Can be useful if you need fresh TLD list or you have custom.
Configuration example:
@ -149,21 +148,150 @@ Configuration example:
</top_level_domains_lists>
```
Example:
**Syntax**
- `cutToFirstSignificantSubdomain('https://news.yandex.com.tr/', 'public_suffix_list') = 'yandex.com.tr'`.
``` sql
cutToFirstSignificantSubdomain(URL, TLD)
```
**Parameters**
- `URL` — URL. [String](../../sql-reference/data-types/string.md).
- `TLD` — Custom TLD list name. [String](../../sql-reference/data-types/string.md).
**Returned value**
- Part of the domain that includes top-level subdomains up to the first significant subdomain.
Type: [String](../../sql-reference/data-types/string.md).
**Example**
Query:
```sql
SELECT cutToFirstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list');
```
Result:
```text
┌─cutToFirstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list')─┐
│ foo.there-is-no-such-domain │
└───────────────────────────────────────────────────────────────────────────────────────────────┘
```
**See Also**
- [firstSignificantSubdomain](#firstsignificantsubdomain).
### cutToFirstSignificantSubdomainCustomWithWWW {#cuttofirstsignificantsubdomaincustomwithwww}
Same as `cutToFirstSignificantSubdomainWithWWW` but accept custom TLD list name.
Returns the part of the domain that includes top-level subdomains up to the first significant subdomain without stripping `www`. Accepts custom TLD list name.
Can be useful if you need fresh TLD list or you have custom.
Configuration example:
```xml
<!-- <top_level_domains_path>/var/lib/clickhouse/top_level_domains/</top_level_domains_path> -->
<top_level_domains_lists>
<!-- https://publicsuffix.org/list/public_suffix_list.dat -->
<public_suffix_list>public_suffix_list.dat</public_suffix_list>
<!-- NOTE: path is under top_level_domains_path -->
</top_level_domains_lists>
```
**Syntax**
```sql
cutToFirstSignificantSubdomainCustomWithWWW(URL, TLD)
```
**Parameters**
- `URL` — URL. [String](../../sql-reference/data-types/string.md).
- `TLD` — Custom TLD list name. [String](../../sql-reference/data-types/string.md).
**Returned value**
- Part of the domain that includes top-level subdomains up to the first significant subdomain without stripping `www`.
Type: [String](../../sql-reference/data-types/string.md).
**Example**
Query:
```sql
SELECT cutToFirstSignificantSubdomainCustomWithWWW('www.foo', 'public_suffix_list');
```
Result:
```text
┌─cutToFirstSignificantSubdomainCustomWithWWW('www.foo', 'public_suffix_list')─┐
│ www.foo │
└──────────────────────────────────────────────────────────────────────────────┘
```
**See Also**
- [firstSignificantSubdomain](#firstsignificantsubdomain).
### firstSignificantSubdomainCustom {#firstsignificantsubdomaincustom}
Same as `firstSignificantSubdomain` but accept custom TLD list name.
Returns the first significant subdomain. Accepts customs TLD list name.
### cutToFirstSignificantSubdomainCustomWithWWW {#cuttofirstsignificantsubdomaincustomwithwww}
Can be useful if you need fresh TLD list or you have custom.
Same as `cutToFirstSignificantSubdomainWithWWW` but accept custom TLD list name.
Configuration example:
```xml
<!-- <top_level_domains_path>/var/lib/clickhouse/top_level_domains/</top_level_domains_path> -->
<top_level_domains_lists>
<!-- https://publicsuffix.org/list/public_suffix_list.dat -->
<public_suffix_list>public_suffix_list.dat</public_suffix_list>
<!-- NOTE: path is under top_level_domains_path -->
</top_level_domains_lists>
```
**Syntax**
```sql
firstSignificantSubdomainCustom(URL, TLD)
```
**Parameters**
- `URL` — URL. [String](../../sql-reference/data-types/string.md).
- `TLD` — Custom TLD list name. [String](../../sql-reference/data-types/string.md).
**Returned value**
- First significant subdomain.
Type: [String](../../sql-reference/data-types/string.md).
**Example**
Query:
```sql
SELECT firstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list');
```
Result:
```text
┌─firstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list')─┐
│ foo │
└──────────────────────────────────────────────────────────────────────────────────────────┘
```
**See Also**
- [firstSignificantSubdomain](#firstsignificantsubdomain).
### port(URL\[, default_port = 0\]) {#port}

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@ -14,14 +14,16 @@ ClickHouse supports the standard grammar for defining windows and window functio
| Feature | Support or workaround |
| --------| ----------|
| ad hoc window specification (`count(*) over (partition by id order by time desc)`) | yes |
| `WINDOW` clause (`select ... from table window w as (partiton by id)`) | yes |
| `ROWS` frame | yes |
| `RANGE` frame | yes, it is the default |
| `GROUPS` frame | no |
| ad hoc window specification (`count(*) over (partition by id order by time desc)`) | supported |
| expressions involving window functions, e.g. `(count(*) over ()) / 2)` | not supported, wrap in a subquery ([feature request](https://github.com/ClickHouse/ClickHouse/issues/19857)) |
| `WINDOW` clause (`select ... from table window w as (partiton by id)`) | supported |
| `ROWS` frame | supported |
| `RANGE` frame | supported, the default |
| `INTERVAL` syntax for `DateTime` `RANGE OFFSET` frame | not supported, specify the number of seconds instead |
| `GROUPS` frame | not supported |
| Calculating aggregate functions over a frame (`sum(value) over (order by time)`) | all aggregate functions are supported |
| `rank()`, `dense_rank()`, `row_number()` | yes |
| `lag/lead(value, offset)` | no, replace with `any(value) over (.... rows between <offset> preceding and <offset> preceding)`, or `following` for `lead`|
| `rank()`, `dense_rank()`, `row_number()` | supported |
| `lag/lead(value, offset)` | not supported, replace with `any(value) over (.... rows between <offset> preceding and <offset> preceding)`, or `following` for `lead`|
## References

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@ -2473,6 +2473,18 @@ SELECT SUM(-1), MAX(0) FROM system.one WHERE 0;
Значение по умолчанию: `16`.
## opentelemetry_start_trace_probability {#opentelemetry-start-trace-probability}
Задает вероятность того, что ClickHouse начнет трассировку для выполненных запросов (если не указан [входящий контекст](https://www.w3.org/TR/trace-context/) трассировки).
Возможные значения:
- 0 — трассировка для выполненных запросов отключена (если не указан входящий контекст трассировки).
- Положительное число с плавающей точкой в диапазоне [0..1]. Например, при значении настройки, равной `0,5`, ClickHouse начнет трассировку в среднем для половины запросов.
- 1 — трассировка для всех выполненных запросов включена.
Значение по умолчанию: `0`.
## optimize_on_insert {#optimize-on-insert}
Включает или выключает преобразование данных перед добавлением в таблицу, как будто над добавляемым блоком предварительно было произведено слияние (в соответствии с движком таблицы).

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@ -0,0 +1,49 @@
# system.opentelemetry_span_log {#system_tables-opentelemetry_span_log}
Содержит информацию о [trace spans](https://opentracing.io/docs/overview/spans/) для выполненных запросов.
Столбцы:
- `trace_id` ([UUID](../../sql-reference/data-types/uuid.md) — идентификатор трассировки для выполненного запроса.
- `span_id` ([UInt64](../../sql-reference/data-types/int-uint.md)) — идентификатор `trace span`.
- `parent_span_id` ([UInt64](../../sql-reference/data-types/int-uint.md)) — идентификатор родительского `trace span`.
- `operation_name` ([String](../../sql-reference/data-types/string.md)) — имя операции.
- `start_time_us` ([UInt64](../../sql-reference/data-types/int-uint.md)) — время начала `trace span` (в микросекундах).
- `finish_time_us` ([UInt64](../../sql-reference/data-types/int-uint.md)) — время окончания `trace span` (в микросекундах).
- `finish_date` ([Date](../../sql-reference/data-types/date.md)) — дата окончания `trace span`.
- `attribute.names` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — имена [атрибутов](https://opentelemetry.io/docs/go/instrumentation/#attributes) в зависимости от `trace span`. Заполняются согласно рекомендациям в стандарте [OpenTelemetry](https://opentelemetry.io/).
- `attribute.values` ([Array](../../sql-reference/data-types/array.md)([String](../../sql-reference/data-types/string.md))) — значения атрибутов в зависимости от `trace span`. Заполняются согласно рекомендациям в стандарте `OpenTelemetry`.
**Пример**
Запрос:
``` sql
SELECT * FROM system.opentelemetry_span_log LIMIT 1 FORMAT Vertical;
```
Результат:
``` text
Row 1:
──────
trace_id: cdab0847-0d62-61d5-4d38-dd65b19a1914
span_id: 701487461015578150
parent_span_id: 2991972114672045096
operation_name: DB::Block DB::InterpreterSelectQuery::getSampleBlockImpl()
start_time_us: 1612374594529090
finish_time_us: 1612374594529108
finish_date: 2021-02-03
attribute.names: []
attribute.values: []
```
[Оригинальная статья](https://clickhouse.tech/docs/ru/operations/system_tables/opentelemetry_span_log) <!--hide-->

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@ -0,0 +1,69 @@
---
toc_priority: 65
toc_title: Map(key, value)
---
# Map(key, value) {#data_type-map}
Тип данных `Map(key, value)` хранит пары `ключ:значение`.
**Параметры**
- `key` — ключ. [String](../../sql-reference/data-types/string.md) или [Integer](../../sql-reference/data-types/int-uint.md).
- `value` — значение. [String](../../sql-reference/data-types/string.md), [Integer](../../sql-reference/data-types/int-uint.md) или [Array](../../sql-reference/data-types/array.md).
!!! warning "Предупреждение"
Сейчас использование типа данных `Map` является экспериментальной возможностью. Чтобы использовать этот тип данных, включите настройку `allow_experimental_map_type = 1`.
Чтобы получить значение из колонки `a Map('key', 'value')`, используйте синтаксис `a['key']`. В настоящее время такая подстановка работает по алгоритму с линейной сложностью.
**Примеры**
Рассмотрим таблицу:
``` sql
CREATE TABLE table_map (a Map(String, UInt64)) ENGINE=Memory;
INSERT INTO table_map VALUES ({'key1':1, 'key2':10}), ({'key1':2,'key2':20}), ({'key1':3,'key2':30});
```
Выборка всех значений ключа `key2`:
```sql
SELECT a['key2'] FROM table_map;
```
Результат:
```text
┌─arrayElement(a, 'key2')─┐
│ 10 │
│ 20 │
│ 30 │
└─────────────────────────┘
```
Если для какого-то ключа `key` в колонке с типом `Map()` нет значения, запрос возвращает нули для числовых колонок, пустые строки или пустые массивы.
```sql
INSERT INTO table_map VALUES ({'key3':100}), ({});
SELECT a['key3'] FROM table_map;
```
Результат:
```text
┌─arrayElement(a, 'key3')─┐
│ 100 │
│ 0 │
└─────────────────────────┘
┌─arrayElement(a, 'key3')─┐
│ 0 │
│ 0 │
│ 0 │
└─────────────────────────┘
```
**См. также**
- функция [map()](../../sql-reference/functions/tuple-map-functions.md#function-map)
- функция [CAST()](../../sql-reference/functions/type-conversion-functions.md#type_conversion_function-cast)
[Original article](https://clickhouse.tech/docs/ru/data-types/map/) <!--hide-->

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@ -5,6 +5,66 @@ toc_title: Работа с контейнерами map
# Функции для работы с контейнерами map {#functions-for-working-with-tuple-maps}
## map {#function-map}
Преобразовывает пары `ключ:значение` в тип данных [Map(key, value)](../../sql-reference/data-types/map.md).
**Синтаксис**
``` sql
map(key1, value1[, key2, value2, ...])
```
**Параметры**
- `key` — ключ. [String](../../sql-reference/data-types/string.md) или [Integer](../../sql-reference/data-types/int-uint.md).
- `value` — значение. [String](../../sql-reference/data-types/string.md), [Integer](../../sql-reference/data-types/int-uint.md) или [Array](../../sql-reference/data-types/array.md).
**Возвращаемое значение**
- Структура данных в виде пар `ключ:значение`.
Тип: [Map(key, value)](../../sql-reference/data-types/map.md).
**Примеры**
Запрос:
``` sql
SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
```
Результат:
``` text
┌─map('key1', number, 'key2', multiply(number, 2))─┐
│ {'key1':0,'key2':0} │
│ {'key1':1,'key2':2} │
│ {'key1':2,'key2':4} │
└──────────────────────────────────────────────────┘
```
Запрос:
``` sql
CREATE TABLE table_map (a Map(String, UInt64)) ENGINE = MergeTree() ORDER BY a;
INSERT INTO table_map SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
SELECT a['key2'] FROM table_map;
```
Результат:
``` text
┌─arrayElement(a, 'key2')─┐
│ 0 │
│ 2 │
│ 4 │
└─────────────────────────┘
```
**См. также**
- тип данных [Map(key, value)](../../sql-reference/data-types/map.md)
## mapAdd {#function-mapadd}
Собирает все ключи и суммирует соответствующие значения.

View File

@ -115,6 +115,168 @@ SELECT topLevelDomain('svn+ssh://www.some.svn-hosting.com:80/repo/trunk')
Например, `cutToFirstSignificantSubdomain('https://news.yandex.com.tr/') = 'yandex.com.tr'`.
### cutToFirstSignificantSubdomainCustom {#cuttofirstsignificantsubdomaincustom}
Возвращает часть домена, включающую поддомены верхнего уровня до первого существенного поддомена. Принимает имя пользовательского [списка доменов верхнего уровня](https://ru.wikipedia.org/wiki/Список_доменов_верхнего_уровня).
Полезно, если требуется актуальный список доменов верхнего уровня или если есть пользовательский.
Пример конфигурации:
```xml
<!-- <top_level_domains_path>/var/lib/clickhouse/top_level_domains/</top_level_domains_path> -->
<top_level_domains_lists>
<!-- https://publicsuffix.org/list/public_suffix_list.dat -->
<public_suffix_list>public_suffix_list.dat</public_suffix_list>
<!-- NOTE: path is under top_level_domains_path -->
</top_level_domains_lists>
```
**Синтаксис**
``` sql
cutToFirstSignificantSubdomain(URL, TLD)
```
**Parameters**
- `URL` — URL. [String](../../sql-reference/data-types/string.md).
- `TLD` — имя пользовательского списка доменов верхнего уровня. [String](../../sql-reference/data-types/string.md).
**Возвращаемое значение**
- Часть домена, включающая поддомены верхнего уровня до первого существенного поддомена.
Тип: [String](../../sql-reference/data-types/string.md).
**Пример**
Запрос:
```sql
SELECT cutToFirstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list');
```
Результат:
```text
┌─cutToFirstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list')─┐
│ foo.there-is-no-such-domain │
└───────────────────────────────────────────────────────────────────────────────────────────────┘
```
**Смотрите также**
- [firstSignificantSubdomain](#firstsignificantsubdomain).
### cutToFirstSignificantSubdomainCustomWithWWW {#cuttofirstsignificantsubdomaincustomwithwww}
Возвращает часть домена, включающую поддомены верхнего уровня до первого существенного поддомена, не опуская "www". Принимает имя пользовательского списка доменов верхнего уровня.
Полезно, если требуется актуальный список доменов верхнего уровня или если есть пользовательский.
Пример конфигурации:
```xml
<!-- <top_level_domains_path>/var/lib/clickhouse/top_level_domains/</top_level_domains_path> -->
<top_level_domains_lists>
<!-- https://publicsuffix.org/list/public_suffix_list.dat -->
<public_suffix_list>public_suffix_list.dat</public_suffix_list>
<!-- NOTE: path is under top_level_domains_path -->
</top_level_domains_lists>
```
**Синтаксис**
```sql
cutToFirstSignificantSubdomainCustomWithWWW(URL, TLD)
```
**Параметры**
- `URL` — URL. [String](../../sql-reference/data-types/string.md).
- `TLD` — имя пользовательского списка доменов верхнего уровня. [String](../../sql-reference/data-types/string.md).
**Возвращаемое значение**
- Часть домена, включающая поддомены верхнего уровня до первого существенного поддомена, без удаления `www`.
Тип: [String](../../sql-reference/data-types/string.md).
**Пример**
Запрос:
```sql
SELECT cutToFirstSignificantSubdomainCustomWithWWW('www.foo', 'public_suffix_list');
```
Результат:
```text
┌─cutToFirstSignificantSubdomainCustomWithWWW('www.foo', 'public_suffix_list')─┐
│ www.foo │
└──────────────────────────────────────────────────────────────────────────────┘
```
**Смотрите также**
- [firstSignificantSubdomain](#firstsignificantsubdomain).
### firstSignificantSubdomainCustom {#firstsignificantsubdomaincustom}
Возвращает первый существенный поддомен. Принимает имя пользовательского списка доменов верхнего уровня.
Полезно, если требуется актуальный список доменов верхнего уровня или если есть пользовательский.
Пример конфигурации:
```xml
<!-- <top_level_domains_path>/var/lib/clickhouse/top_level_domains/</top_level_domains_path> -->
<top_level_domains_lists>
<!-- https://publicsuffix.org/list/public_suffix_list.dat -->
<public_suffix_list>public_suffix_list.dat</public_suffix_list>
<!-- NOTE: path is under top_level_domains_path -->
</top_level_domains_lists>
```
**Синтаксис**
```sql
firstSignificantSubdomainCustom(URL, TLD)
```
**Параметры**
- `URL` — URL. [String](../../sql-reference/data-types/string.md).
- `TLD` — имя пользовательского списка доменов верхнего уровня. [String](../../sql-reference/data-types/string.md).
**Возвращаемое значение**
- Первый существенный поддомен.
Тип: [String](../../sql-reference/data-types/string.md).
**Пример**
Запрос:
```sql
SELECT firstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list');
```
Результат:
```text
┌─firstSignificantSubdomainCustom('bar.foo.there-is-no-such-domain', 'public_suffix_list')─┐
│ foo │
└──────────────────────────────────────────────────────────────────────────────────────────┘
```
**Смотрите также**
- [firstSignificantSubdomain](#firstsignificantsubdomain).
### port(URL[, default_port = 0]) {#port}
Возвращает порт или значение `default_port`, если в URL-адресе нет порта (или передан невалидный URL)

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@ -756,7 +756,11 @@ std::optional<UInt64> Connection::checkPacket(size_t timeout_microseconds)
Packet Connection::receivePacket(std::function<void(Poco::Net::Socket &)> async_callback)
{
in->setAsyncCallback(std::move(async_callback));
SCOPE_EXIT(in->setAsyncCallback({}));
SCOPE_EXIT({
/// disconnect() will reset "in".
if (in)
in->setAsyncCallback({});
});
try
{

View File

@ -166,6 +166,8 @@ void NuKeeperStateMachine::create_snapshot(
}
}
LOG_DEBUG(log, "Created snapshot {}", s.get_last_log_idx());
nuraft::ptr<std::exception> except(nullptr);
bool ret = true;
when_done(ret, except);

View File

@ -6,6 +6,7 @@ namespace DB
namespace ErrorCodes
{
extern const int INCORRECT_DATA;
extern const int LOGICAL_ERROR;
}
std::pair<bool, size_t> fileSegmentationEngineJSONEachRowImpl(ReadBuffer & in, DB::Memory<> & memory, size_t min_chunk_size)
@ -28,7 +29,9 @@ std::pair<bool, size_t> fileSegmentationEngineJSONEachRowImpl(ReadBuffer & in, D
if (quotes)
{
pos = find_first_symbols<'\\', '"'>(pos, in.buffer().end());
if (pos == in.buffer().end())
if (pos > in.buffer().end())
throw Exception("Position in buffer is out of bounds. There must be a bug.", ErrorCodes::LOGICAL_ERROR);
else if (pos == in.buffer().end())
continue;
if (*pos == '\\')
{
@ -45,9 +48,11 @@ std::pair<bool, size_t> fileSegmentationEngineJSONEachRowImpl(ReadBuffer & in, D
else
{
pos = find_first_symbols<'{', '}', '\\', '"'>(pos, in.buffer().end());
if (pos == in.buffer().end())
if (pos > in.buffer().end())
throw Exception("Position in buffer is out of bounds. There must be a bug.", ErrorCodes::LOGICAL_ERROR);
else if (pos == in.buffer().end())
continue;
if (*pos == '{')
else if (*pos == '{')
{
++balance;
++pos;

View File

@ -35,10 +35,10 @@ struct Memory : boost::noncopyable, Allocator
char * m_data = nullptr;
size_t alignment = 0;
Memory() {}
Memory() = default;
/// If alignment != 0, then allocate memory aligned to specified value.
Memory(size_t size_, size_t alignment_ = 0) : m_capacity(size_), m_size(m_capacity), alignment(alignment_)
explicit Memory(size_t size_, size_t alignment_ = 0) : m_capacity(size_), m_size(m_capacity), alignment(alignment_)
{
alloc();
}
@ -140,7 +140,7 @@ protected:
Memory<> memory;
public:
/// If non-nullptr 'existing_memory' is passed, then buffer will not create its own memory and will use existing_memory without ownership.
BufferWithOwnMemory(size_t size = DBMS_DEFAULT_BUFFER_SIZE, char * existing_memory = nullptr, size_t alignment = 0)
explicit BufferWithOwnMemory(size_t size = DBMS_DEFAULT_BUFFER_SIZE, char * existing_memory = nullptr, size_t alignment = 0)
: Base(nullptr, 0), memory(existing_memory ? 0 : size, alignment)
{
Base::set(existing_memory ? existing_memory : memory.data(), size);

View File

@ -266,7 +266,7 @@ bool ParserFunction::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
ParserIdentifier id_parser;
ParserKeyword distinct("DISTINCT");
ParserKeyword all("ALL");
ParserExpressionList contents(false);
ParserExpressionList contents(false, is_table_function);
ParserSelectWithUnionQuery select;
ParserKeyword over("OVER");
@ -278,6 +278,12 @@ bool ParserFunction::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
ASTPtr expr_list_args;
ASTPtr expr_list_params;
if (is_table_function)
{
if (ParserTableFunctionView().parse(pos, node, expected))
return true;
}
if (!id_parser.parse(pos, identifier, expected))
return false;
@ -312,36 +318,6 @@ bool ParserFunction::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
}
}
if (!has_distinct && !has_all)
{
auto old_pos = pos;
auto maybe_an_subquery = pos->type == TokenType::OpeningRoundBracket;
if (select.parse(pos, query, expected))
{
auto & select_ast = query->as<ASTSelectWithUnionQuery &>();
if (select_ast.list_of_selects->children.size() == 1 && maybe_an_subquery)
{
// It's an subquery. Bail out.
pos = old_pos;
}
else
{
if (pos->type != TokenType::ClosingRoundBracket)
return false;
++pos;
auto function_node = std::make_shared<ASTFunction>();
tryGetIdentifierNameInto(identifier, function_node->name);
auto expr_list_with_single_query = std::make_shared<ASTExpressionList>();
expr_list_with_single_query->children.push_back(query);
function_node->arguments = expr_list_with_single_query;
function_node->children.push_back(function_node->arguments);
node = function_node;
return true;
}
}
}
const char * contents_begin = pos->begin;
if (!contents.parse(pos, expr_list_args, expected))
return false;
@ -477,6 +453,49 @@ bool ParserFunction::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
return true;
}
bool ParserTableFunctionView::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
{
ParserIdentifier id_parser;
ParserKeyword view("VIEW");
ParserSelectWithUnionQuery select;
ASTPtr identifier;
ASTPtr query;
if (!view.ignore(pos, expected))
return false;
if (pos->type != TokenType::OpeningRoundBracket)
return false;
++pos;
bool maybe_an_subquery = pos->type == TokenType::OpeningRoundBracket;
if (!select.parse(pos, query, expected))
return false;
auto & select_ast = query->as<ASTSelectWithUnionQuery &>();
if (select_ast.list_of_selects->children.size() == 1 && maybe_an_subquery)
{
// It's an subquery. Bail out.
return false;
}
if (pos->type != TokenType::ClosingRoundBracket)
return false;
++pos;
auto function_node = std::make_shared<ASTFunction>();
tryGetIdentifierNameInto(identifier, function_node->name);
auto expr_list_with_single_query = std::make_shared<ASTExpressionList>();
expr_list_with_single_query->children.push_back(query);
function_node->name = "view";
function_node->arguments = expr_list_with_single_query;
function_node->children.push_back(function_node->arguments);
node = function_node;
return true;
}
bool ParserWindowReference::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
{
ASTFunction * function = dynamic_cast<ASTFunction *>(node.get());

View File

@ -149,11 +149,25 @@ protected:
class ParserFunction : public IParserBase
{
public:
ParserFunction(bool allow_function_parameters_ = true) : allow_function_parameters(allow_function_parameters_) {}
ParserFunction(bool allow_function_parameters_ = true, bool is_table_function_ = false)
: allow_function_parameters(allow_function_parameters_), is_table_function(is_table_function_)
{
}
protected:
const char * getName() const override { return "function"; }
bool parseImpl(Pos & pos, ASTPtr & node, Expected & expected) override;
bool allow_function_parameters;
bool is_table_function;
};
// A special function parser for view table function.
// It parses an SELECT query as its argument and doesn't support getColumnName().
class ParserTableFunctionView : public IParserBase
{
protected:
const char * getName() const override { return "function"; }
bool parseImpl(Pos & pos, ASTPtr & node, Expected & expected) override;
};
// Window reference (the thing that goes after OVER) for window function.

View File

@ -468,6 +468,14 @@ bool ParserLambdaExpression::parseImpl(Pos & pos, ASTPtr & node, Expected & expe
}
bool ParserTableFunctionExpression::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
{
if (ParserTableFunctionView().parse(pos, node, expected))
return true;
return elem_parser.parse(pos, node, expected);
}
bool ParserPrefixUnaryOperatorExpression::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
{
/// try to find any of the valid operators
@ -570,9 +578,10 @@ bool ParserTupleElementExpression::parseImpl(Pos & pos, ASTPtr & node, Expected
}
ParserExpressionWithOptionalAlias::ParserExpressionWithOptionalAlias(bool allow_alias_without_as_keyword)
: impl(std::make_unique<ParserWithOptionalAlias>(std::make_unique<ParserExpression>(),
allow_alias_without_as_keyword))
ParserExpressionWithOptionalAlias::ParserExpressionWithOptionalAlias(bool allow_alias_without_as_keyword, bool is_table_function)
: impl(std::make_unique<ParserWithOptionalAlias>(
is_table_function ? ParserPtr(std::make_unique<ParserTableFunctionExpression>()) : ParserPtr(std::make_unique<ParserExpression>()),
allow_alias_without_as_keyword))
{
}
@ -580,7 +589,7 @@ ParserExpressionWithOptionalAlias::ParserExpressionWithOptionalAlias(bool allow_
bool ParserExpressionList::parseImpl(Pos & pos, ASTPtr & node, Expected & expected)
{
return ParserList(
std::make_unique<ParserExpressionWithOptionalAlias>(allow_alias_without_as_keyword),
std::make_unique<ParserExpressionWithOptionalAlias>(allow_alias_without_as_keyword, is_table_function),
std::make_unique<ParserToken>(TokenType::Comma))
.parse(pos, node, expected);
}

View File

@ -436,13 +436,26 @@ protected:
};
// It's used to parse expressions in table function.
class ParserTableFunctionExpression : public IParserBase
{
private:
ParserLambdaExpression elem_parser;
protected:
const char * getName() const override { return "table function expression"; }
bool parseImpl(Pos & pos, ASTPtr & node, Expected & expected) override;
};
using ParserExpression = ParserLambdaExpression;
class ParserExpressionWithOptionalAlias : public IParserBase
{
public:
ParserExpressionWithOptionalAlias(bool allow_alias_without_as_keyword);
explicit ParserExpressionWithOptionalAlias(bool allow_alias_without_as_keyword, bool is_table_function = false);
protected:
ParserPtr impl;
@ -459,11 +472,12 @@ protected:
class ParserExpressionList : public IParserBase
{
public:
ParserExpressionList(bool allow_alias_without_as_keyword_)
: allow_alias_without_as_keyword(allow_alias_without_as_keyword_) {}
explicit ParserExpressionList(bool allow_alias_without_as_keyword_, bool is_table_function_ = false)
: allow_alias_without_as_keyword(allow_alias_without_as_keyword_), is_table_function(is_table_function_) {}
protected:
bool allow_alias_without_as_keyword;
bool is_table_function; // This expression list is used by a table function
const char * getName() const override { return "list of expressions"; }
bool parseImpl(Pos & pos, ASTPtr & node, Expected & expected) override;
@ -473,7 +487,7 @@ protected:
class ParserNotEmptyExpressionList : public IParserBase
{
public:
ParserNotEmptyExpressionList(bool allow_alias_without_as_keyword)
explicit ParserNotEmptyExpressionList(bool allow_alias_without_as_keyword)
: nested_parser(allow_alias_without_as_keyword) {}
private:
ParserExpressionList nested_parser;

View File

@ -22,7 +22,7 @@ bool ParserTableExpression::parseImpl(Pos & pos, ASTPtr & node, Expected & expec
auto res = std::make_shared<ASTTableExpression>();
if (!ParserWithOptionalAlias(std::make_unique<ParserSubquery>(), true).parse(pos, res->subquery, expected)
&& !ParserWithOptionalAlias(std::make_unique<ParserFunction>(), true).parse(pos, res->table_function, expected)
&& !ParserWithOptionalAlias(std::make_unique<ParserFunction>(true, true), true).parse(pos, res->table_function, expected)
&& !ParserWithOptionalAlias(std::make_unique<ParserCompoundIdentifier>(false, true), true).parse(pos, res->database_and_table_name, expected))
return false;

View File

@ -15,6 +15,7 @@ namespace ErrorCodes
{
extern const int BAD_ARGUMENTS;
extern const int INCORRECT_DATA;
extern const int LOGICAL_ERROR;
}
@ -436,9 +437,11 @@ static std::pair<bool, size_t> fileSegmentationEngineCSVImpl(ReadBuffer & in, DB
if (quotes)
{
pos = find_first_symbols<'"'>(pos, in.buffer().end());
if (pos == in.buffer().end())
if (pos > in.buffer().end())
throw Exception("Position in buffer is out of bounds. There must be a bug.", ErrorCodes::LOGICAL_ERROR);
else if (pos == in.buffer().end())
continue;
if (*pos == '"')
else if (*pos == '"')
{
++pos;
if (loadAtPosition(in, memory, pos) && *pos == '"')
@ -450,9 +453,11 @@ static std::pair<bool, size_t> fileSegmentationEngineCSVImpl(ReadBuffer & in, DB
else
{
pos = find_first_symbols<'"', '\r', '\n'>(pos, in.buffer().end());
if (pos == in.buffer().end())
if (pos > in.buffer().end())
throw Exception("Position in buffer is out of bounds. There must be a bug.", ErrorCodes::LOGICAL_ERROR);
else if (pos == in.buffer().end())
continue;
if (*pos == '"')
else if (*pos == '"')
{
quotes = true;
++pos;

View File

@ -11,6 +11,7 @@ namespace ErrorCodes
{
extern const int INCORRECT_DATA;
extern const int BAD_ARGUMENTS;
extern const int LOGICAL_ERROR;
}
RegexpRowInputFormat::RegexpRowInputFormat(
@ -182,7 +183,9 @@ static std::pair<bool, size_t> fileSegmentationEngineRegexpImpl(ReadBuffer & in,
while (loadAtPosition(in, memory, pos) && need_more_data)
{
pos = find_first_symbols<'\n', '\r'>(pos, in.buffer().end());
if (pos == in.buffer().end())
if (pos > in.buffer().end())
throw Exception("Position in buffer is out of bounds. There must be a bug.", ErrorCodes::LOGICAL_ERROR);
else if (pos == in.buffer().end())
continue;
// Support DOS-style newline ("\r\n")

View File

@ -15,6 +15,7 @@ namespace DB
namespace ErrorCodes
{
extern const int INCORRECT_DATA;
extern const int LOGICAL_ERROR;
}
@ -433,10 +434,11 @@ static std::pair<bool, size_t> fileSegmentationEngineTabSeparatedImpl(ReadBuffer
{
pos = find_first_symbols<'\\', '\r', '\n'>(pos, in.buffer().end());
if (pos == in.buffer().end())
if (pos > in.buffer().end())
throw Exception("Position in buffer is out of bounds. There must be a bug.", ErrorCodes::LOGICAL_ERROR);
else if (pos == in.buffer().end())
continue;
if (*pos == '\\')
else if (*pos == '\\')
{
++pos;
if (loadAtPosition(in, memory, pos))

View File

@ -6,6 +6,8 @@
<coordination_settings>
<operation_timeout_ms>10000</operation_timeout_ms>
<session_timeout_ms>30000</session_timeout_ms>
<snapshot_distance>0</snapshot_distance>
<reserved_log_items>0</reserved_log_items>
</coordination_settings>
<raft_configuration>

View File

@ -29,8 +29,8 @@ def get_fake_zk():
def reset_last_zxid_listener(state):
print("Fake zk callback called for state", state)
global _fake_zk_instance
# reset last_zxid -- fake server doesn't support it
_fake_zk_instance.last_zxid = 0
if state != KazooState.CONNECTED:
_fake_zk_instance._reset()
_fake_zk_instance.add_listener(reset_last_zxid_listener)
_fake_zk_instance.start()

View File

@ -0,0 +1 @@
SELECT view(SELECT 1); -- { clientError 62 }

View File

@ -1,6 +1,6 @@
100
6410
6410
25323
100
25323
1774655
100
1774655

View File

@ -6,15 +6,15 @@ CREATE DICTIONARY db_dict.cache_hits
PRIMARY KEY WatchID
SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() USER 'default' TABLE 'hits' PASSWORD '' DB 'test'))
LIFETIME(MIN 300 MAX 600)
LAYOUT(CACHE(SIZE_IN_CELLS 100000 QUERY_WAIT_TIMEOUT_MILLISECONDS 600000));
LAYOUT(CACHE(SIZE_IN_CELLS 100 QUERY_WAIT_TIMEOUT_MILLISECONDS 600000));
SELECT sum(flag) FROM (SELECT dictHas('db_dict.cache_hits', toUInt64(WatchID)) as flag FROM test.hits PREWHERE WatchID % 1400 == 0);
SELECT sum(flag) FROM (SELECT dictHas('db_dict.cache_hits', toUInt64(WatchID)) as flag FROM test.hits PREWHERE WatchID % 1400 == 0 LIMIT 100);
SELECT count() from test.hits PREWHERE WatchID % 1400 == 0;
SELECT sum(flag) FROM (SELECT dictHas('db_dict.cache_hits', toUInt64(WatchID)) as flag FROM test.hits PREWHERE WatchID % 350 == 0);
SELECT sum(flag) FROM (SELECT dictHas('db_dict.cache_hits', toUInt64(WatchID)) as flag FROM test.hits PREWHERE WatchID % 350 == 0 LIMIT 100);
SELECT count() from test.hits PREWHERE WatchID % 350 == 0;
SELECT sum(flag) FROM (SELECT dictHas('db_dict.cache_hits', toUInt64(WatchID)) as flag FROM test.hits PREWHERE WatchID % 5 == 0);
SELECT sum(flag) FROM (SELECT dictHas('db_dict.cache_hits', toUInt64(WatchID)) as flag FROM test.hits PREWHERE WatchID % 5 == 0 LIMIT 100);
SELECT count() from test.hits PREWHERE WatchID % 5 == 0;
DROP DICTIONARY IF EXISTS db_dict.cache_hits;

View File

@ -10,7 +10,6 @@
"00152_insert_different_granularity",
"00151_replace_partition_with_different_granularity",
"00157_cache_dictionary",
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"01193_metadata_loading",
"01473_event_time_microseconds",
"01526_max_untracked_memory", /// requires TraceCollector, does not available under sanitizers
@ -26,7 +25,6 @@
"memory_profiler",
"odbc_roundtrip",
"01103_check_cpu_instructions_at_startup",
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"01473_event_time_microseconds",
"01526_max_untracked_memory", /// requires TraceCollector, does not available under sanitizers
"01193_metadata_loading"
@ -37,7 +35,6 @@
"memory_profiler",
"01103_check_cpu_instructions_at_startup",
"00900_orc_load",
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"01473_event_time_microseconds",
"01526_max_untracked_memory", /// requires TraceCollector, does not available under sanitizers
"01193_metadata_loading"
@ -49,7 +46,6 @@
"01103_check_cpu_instructions_at_startup",
"01086_odbc_roundtrip", /// can't pass because odbc libraries are not instrumented
"00877_memory_limit_for_new_delete", /// memory limits don't work correctly under msan because it replaces malloc/free
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"01473_event_time_microseconds",
"01526_max_untracked_memory", /// requires TraceCollector, does not available under sanitizers
"01193_metadata_loading"
@ -61,7 +57,6 @@
"00980_alter_settings_race",
"00834_kill_mutation_replicated_zookeeper",
"00834_kill_mutation",
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"01200_mutations_memory_consumption",
"01103_check_cpu_instructions_at_startup",
"01037_polygon_dicts_",
@ -87,7 +82,6 @@
"00505_secure",
"00505_shard_secure",
"odbc_roundtrip",
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"01103_check_cpu_instructions_at_startup",
"01114_mysql_database_engine_segfault",
"00834_cancel_http_readonly_queries_on_client_close",
@ -101,19 +95,16 @@
"01455_time_zones"
],
"release-build": [
"00992_system_parts_race_condition_zookeeper" /// TODO remove me (alesapin)
],
"database-ordinary": [
"00604_show_create_database",
"00609_mv_index_in_in",
"00510_materizlized_view_and_deduplication_zookeeper",
"00738_lock_for_inner_table",
"00992_system_parts_race_condition_zookeeper" /// TODO remove me (alesapin)
"00738_lock_for_inner_table"
],
"polymorphic-parts": [
"01508_partition_pruning_long", /// bug, shoud be fixed
"01482_move_to_prewhere_and_cast", /// bug, shoud be fixed
"00992_system_parts_race_condition_zookeeper" /// TODO remove me (alesapin)
"01482_move_to_prewhere_and_cast" /// bug, shoud be fixed
],
"antlr": [
"00186_very_long_arrays",
@ -153,7 +144,6 @@
"00982_array_enumerate_uniq_ranked",
"00984_materialized_view_to_columns",
"00988_constraints_replication_zookeeper",
"00992_system_parts_race_condition_zookeeper", /// TODO remove me (alesapin)
"00995_order_by_with_fill",
"01001_enums_in_in_section",
"01011_group_uniq_array_memsan",