mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-21 23:21:59 +00:00
Merge branch 'master' into return-not-nullable-from-count-distinct-2
This commit is contained in:
Alexey Milovidov
commit
0a6054eece
@ -17,7 +17,7 @@ function find_reference_sha
|
||||
# If not master, try to fetch pull/.../{head,merge}
|
||||
if [ "$PR_TO_TEST" != "0" ]
|
||||
then
|
||||
git -C ch fetch origin "refs/pull/$PR_TO_TEST/*:refs/heads/pr/*"
|
||||
git -C ch fetch origin "refs/pull/$PR_TO_TEST/*:refs/heads/pull/$PR_TO_TEST/*"
|
||||
fi
|
||||
|
||||
# Go back from the revision to be tested, trying to find the closest published
|
||||
@ -28,9 +28,9 @@ function find_reference_sha
|
||||
# and SHA_TO_TEST, but a revision that is merged with recent master, given
|
||||
# by pull/.../merge ref.
|
||||
# Master is the first parent of the pull/.../merge.
|
||||
if git -C ch rev-parse pr/merge
|
||||
if git -C ch rev-parse "pull/$PR_TO_TEST/merge"
|
||||
then
|
||||
start_ref=pr/merge~
|
||||
start_ref="pull/$PR_TO_TEST/merge~"
|
||||
fi
|
||||
|
||||
while :
|
||||
@ -73,11 +73,11 @@ if [ "$REF_PR" == "" ]; then echo Reference PR is not specified ; exit 1 ; fi
|
||||
|
||||
(
|
||||
git -C ch log -1 --decorate "$SHA_TO_TEST" ||:
|
||||
if git -C ch rev-parse pr/merge &> /dev/null
|
||||
if git -C ch rev-parse "pull/$PR_TO_TEST/merge" &> /dev/null
|
||||
then
|
||||
echo
|
||||
echo Real tested commit is:
|
||||
git -C ch log -1 --decorate pr/merge
|
||||
git -C ch log -1 --decorate "pull/$PR_TO_TEST/merge"
|
||||
fi
|
||||
) | tee right-commit.txt
|
||||
|
||||
|
||||
@ -20,9 +20,9 @@ RUN apt-get --allow-unauthenticated update -y \
|
||||
# apt-get --allow-unauthenticated install --yes --no-install-recommends \
|
||||
# pvs-studio
|
||||
|
||||
ENV PKG_VERSION="pvs-studio-7.07.38234.46-amd64.deb"
|
||||
ENV PKG_VERSION="pvs-studio-7.07.38234.48-amd64.deb"
|
||||
|
||||
RUN wget "http://files.viva64.com/$PKG_VERSION"
|
||||
RUN wget "https://files.viva64.com/$PKG_VERSION"
|
||||
RUN sudo dpkg -i "$PKG_VERSION"
|
||||
|
||||
CMD cd /repo_folder && pvs-studio-analyzer credentials $LICENCE_NAME $LICENCE_KEY -o ./licence.lic \
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
## function-name {#function-name-in-lower-case}
|
||||
## functionName {#functionname-in-lower-case}
|
||||
|
||||
Short description.
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
## setting-name {#setting-name-in-lower-case}
|
||||
## setting_name {#setting_name}
|
||||
|
||||
Description.
|
||||
|
||||
|
||||
@ -51,9 +51,6 @@ ORDER BY expr
|
||||
|
||||
For a description of parameters, see the [CREATE query description](../../../sql-reference/statements/create.md).
|
||||
|
||||
!!! note "Note"
|
||||
`INDEX` is an experimental feature, see [Data Skipping Indexes](#table_engine-mergetree-data_skipping-indexes).
|
||||
|
||||
### Query Clauses {#mergetree-query-clauses}
|
||||
|
||||
- `ENGINE` — Name and parameters of the engine. `ENGINE = MergeTree()`. The `MergeTree` engine does not have parameters.
|
||||
@ -257,7 +254,7 @@ ClickHouse cannot use an index if the values of the primary key in the query par
|
||||
|
||||
ClickHouse uses this logic not only for days of the month sequences, but for any primary key that represents a partially-monotonic sequence.
|
||||
|
||||
### Data Skipping Indexes (experimental) {#table_engine-mergetree-data_skipping-indexes}
|
||||
### Data Skipping Indexes {#table_engine-mergetree-data_skipping-indexes}
|
||||
|
||||
The index declaration is in the columns section of the `CREATE` query.
|
||||
|
||||
|
||||
@ -12,6 +12,7 @@ toc_title: Integrations
|
||||
|
||||
- Relational database management systems
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-data-reader](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-replicator](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -35,7 +35,7 @@ toc_title: Adopters
|
||||
| [Exness](https://www.exness.com){.favicon} | Trading | Metrics, Logging | — | — | [Talk in Russian, May 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| [Geniee](https://geniee.co.jp){.favicon} | Ad network | Main product | — | — | [Blog post in Japanese, July 2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| [HUYA](https://www.huya.com/){.favicon} | Video Streaming | Analytics | — | — | [Slides in Chinese, October 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| [Idealista](https://www.idealista.com){.favicon} | Real Estate | Analytics | — | — | [Blog Post in English, April 2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| [Idealista](https://www.idealista.com){.favicon} | Real Estate | Analytics | — | — | [Blog Post in English, April 2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| [Infovista](https://www.infovista.com/){.favicon} | Networks | Analytics | — | — | [Slides in English, October 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| [InnoGames](https://www.innogames.com){.favicon} | Games | Metrics, Logging | — | — | [Slides in Russian, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| [Integros](https://integros.com){.favicon} | Platform for video services | Analytics | — | — | [Slides in Russian, May 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -31,7 +31,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` domain supports custom input format as IPv4-strings:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -31,7 +31,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` domain supports custom input as IPv6-strings:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -12,6 +12,8 @@ The following aggregate functions are supported:
|
||||
- [`groupBitAnd`](../../sql-reference/aggregate-functions/reference.md#groupbitand)
|
||||
- [`groupBitOr`](../../sql-reference/aggregate-functions/reference.md#groupbitor)
|
||||
- [`groupBitXor`](../../sql-reference/aggregate-functions/reference.md#groupbitxor)
|
||||
- [`groupArrayArray`](../../sql-reference/aggregate-functions/reference.md#agg_function-grouparray)
|
||||
- [`groupUniqArrayArray`](../../sql-reference/aggregate-functions/reference.md#groupuniqarrayx-groupuniqarraymax-sizex)
|
||||
|
||||
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.
|
||||
|
||||
|
||||
@ -701,13 +701,13 @@ arrayDifference(array)
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `array` – [Array](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Array](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Returned values**
|
||||
|
||||
Returns an array of differences between adjacent elements.
|
||||
|
||||
Type: [UInt\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#int-ranges), [Float\*](https://clickhouse.yandex/docs/en/data_types/float/).
|
||||
Type: [UInt\*](https://clickhouse.tech/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.tech/docs/en/data_types/int_uint/#int-ranges), [Float\*](https://clickhouse.tech/docs/en/data_types/float/).
|
||||
|
||||
**Example**
|
||||
|
||||
@ -753,7 +753,7 @@ arrayDistinct(array)
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `array` – [Array](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Array](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Returned values**
|
||||
|
||||
|
||||
@ -1200,4 +1200,52 @@ SELECT number, randomPrintableASCII(30) as str, length(str) FROM system.numbers
|
||||
└────────┴────────────────────────────────┴──────────────────────────────────┘
|
||||
```
|
||||
|
||||
## randomString {#randomstring}
|
||||
|
||||
Generates a binary string of the specified length filled with random bytes (including zero bytes).
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
|
||||
randomString(length)
|
||||
```
|
||||
|
||||
**Parameters**
|
||||
|
||||
- `length` — String length. Positive integer.
|
||||
|
||||
**Returned value**
|
||||
|
||||
- String filled with random bytes.
|
||||
|
||||
Type: [String](../../sql-reference/data-types/string.md).
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT randomString(30) AS str, length(str) AS len FROM numbers(2) FORMAT Vertical;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
──────
|
||||
str: 3 G : pT ?w тi k aV f6
|
||||
len: 30
|
||||
|
||||
Row 2:
|
||||
──────
|
||||
str: 9 ,] ^ ) ]?? 8
|
||||
len: 30
|
||||
```
|
||||
|
||||
**See Also**
|
||||
|
||||
- [generateRandom](../../sql-reference/table-functions/generate.md#generaterandom)
|
||||
- [randomPrintableASCII](../../sql-reference/functions/other-functions.md#randomascii)
|
||||
|
||||
|
||||
[Original article](https://clickhouse.tech/docs/en/query_language/functions/other_functions/) <!--hide-->
|
||||
|
||||
@ -51,7 +51,11 @@ Modifies how matching by "join keys" is performed
|
||||
|
||||
`ASOF JOIN` is useful when you need to join records that have no exact match.
|
||||
|
||||
Tables for `ASOF JOIN` must have an ordered sequence column. This column cannot be alone in a table, and should be one of the data types: `UInt32`, `UInt64`, `Float32`, `Float64`, `Date`, and `DateTime`.
|
||||
Algorithm requires the special column in tables. This column:
|
||||
|
||||
- Must contain an ordered sequence.
|
||||
- Can be one of the following types: [Int*, UInt*](../../data-types/int-uint.md), [Float*](../../data-types/float.md), [Date](../../data-types/date.md), [DateTime](../../data-types/datetime.md), [Decimal*](../../data-types/decimal.md).
|
||||
- Can't be the only column in the `JOIN` clause.
|
||||
|
||||
Syntax `ASOF JOIN ... ON`:
|
||||
|
||||
|
||||
@ -24,7 +24,7 @@ This release contains bug fixes for the previous release 1.1.54310:
|
||||
#### New Features: {#new-features}
|
||||
|
||||
- Custom partitioning key for the MergeTree family of table engines.
|
||||
- [Kafka](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) table engine.
|
||||
- [Kafka](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) table engine.
|
||||
- Added support for loading [CatBoost](https://catboost.yandex/) models and applying them to data stored in ClickHouse.
|
||||
- Added support for time zones with non-integer offsets from UTC.
|
||||
- Added support for arithmetic operations with time intervals.
|
||||
|
||||
@ -12,6 +12,7 @@ toc_title: Integrations
|
||||
|
||||
- Relational database management systems
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-data-reader](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-replicator](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -37,7 +37,7 @@ toc_title: Adoptante
|
||||
| <a href="https://www.exness.com" class="favicon">Exness</a> | Comercio | Métricas, Registro | — | — | [Charla en ruso, mayo 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://geniee.co.jp" class="favicon">Sistema abierto.</a> | Red Ad | Producto principal | — | — | [Publicación de blog en japonés, julio 2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| <a href="https://www.huya.com/" class="favicon">HUYA</a> | Video Streaming | Analítica | — | — | [Diapositivas en chino, octubre 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Inmobiliario | Analítica | — | — | [Blog Post en Inglés, Abril 2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Inmobiliario | Analítica | — | — | [Blog Post en Inglés, Abril 2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.infovista.com/" class="favicon">Infovista</a> | Red | Analítica | — | — | [Diapositivas en español, octubre 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| <a href="https://www.innogames.com" class="favicon">InnoGames</a> | Juego | Métricas, Registro | — | — | [Diapositivas en ruso, septiembre 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| <a href="https://integros.com" class="favicon">Integros</a> | Plataforma para servicios de video | Analítica | — | — | [Diapositivas en ruso, mayo 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` domain admite formato de entrada personalizado como cadenas IPv4:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` domain admite entradas personalizadas como cadenas IPv6:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -702,13 +702,13 @@ arrayDifference(array)
|
||||
|
||||
**Parámetros**
|
||||
|
||||
- `array` – [Matriz](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Matriz](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Valores devueltos**
|
||||
|
||||
Devuelve una matriz de diferencias entre los elementos adyacentes.
|
||||
|
||||
Tipo: [UInt\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#uint-ranges), [En\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#int-ranges), [Flotante\*](https://clickhouse.yandex/docs/en/data_types/float/).
|
||||
Tipo: [UInt\*](https://clickhouse.tech/docs/en/data_types/int_uint/#uint-ranges), [En\*](https://clickhouse.tech/docs/en/data_types/int_uint/#int-ranges), [Flotante\*](https://clickhouse.tech/docs/en/data_types/float/).
|
||||
|
||||
**Ejemplo**
|
||||
|
||||
@ -754,7 +754,7 @@ arrayDistinct(array)
|
||||
|
||||
**Parámetros**
|
||||
|
||||
- `array` – [Matriz](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Matriz](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Valores devueltos**
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ Esta versión contiene correcciones de errores para la versión anterior 1.1.543
|
||||
#### Novedad: {#new-features}
|
||||
|
||||
- Clave de partición personalizada para la familia MergeTree de motores de tabla.
|
||||
- [Kafka](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) motor de mesa.
|
||||
- [Kafka](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) motor de mesa.
|
||||
- Se agregó soporte para cargar [CatBoost](https://catboost.yandex/) modelos y aplicarlos a los datos almacenados en ClickHouse.
|
||||
- Se agregó soporte para zonas horarias con desplazamientos no enteros de UTC.
|
||||
- Se agregó soporte para operaciones aritméticas con intervalos de tiempo.
|
||||
|
||||
@ -14,6 +14,7 @@ toc_title: "\u06CC\u06A9\u067E\u0627\u0631\u0686\u06AF\u06CC"
|
||||
|
||||
- سیستم های مدیریت پایگاه داده رابطه ای
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [در حال بارگذاری](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [تاتر-خروجی زیر-داده خوان](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-replicator](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -37,7 +37,7 @@ toc_title: "\u067E\u0630\u06CC\u0631\u0627"
|
||||
| <a href="https://www.exness.com" class="favicon">اعمال</a> | بازرگانی | معیارهای ورود به سیستم | — | — | [بحث در روسیه, بیشتر 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://geniee.co.jp" class="favicon">ژنی</a> | شبکه تبلیغاتی | محصول اصلی | — | — | [پست وبلاگ در ژاپن, جولای 2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| <a href="https://www.huya.com/" class="favicon">HUYA</a> | جریان ویدیو | تجزیه و تحلیل | — | — | [اسلاید در چین, اکتبر 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | املاک و مستغلات | تجزیه و تحلیل | — | — | [پست وبلاگ به زبان انگلیسی, مارس 2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | املاک و مستغلات | تجزیه و تحلیل | — | — | [پست وبلاگ به زبان انگلیسی, مارس 2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.infovista.com/" class="favicon">اینفویستا</a> | شبکه ها | تجزیه و تحلیل | — | — | [اسلاید به زبان انگلیسی, اکتبر 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| <a href="https://www.innogames.com" class="favicon">نام</a> | بازی ها | معیارهای ورود به سیستم | — | — | [اسلاید در روسیه, سپتامبر 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| <a href="https://integros.com" class="favicon">پوششی</a> | بستر های نرم افزاری برای خدمات تصویری | تجزیه و تحلیل | — | — | [اسلاید در روسیه, بیشتر 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` دامنه پشتیبانی از فرمت ورودی سفارشی به عنوان ایپو4 رشته:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` دامنه پشتیبانی از ورودی های سفارشی به عنوان ایپو6 رشته:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -702,13 +702,13 @@ arrayDifference(array)
|
||||
|
||||
**پارامترها**
|
||||
|
||||
- `array` – [& حذف](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [& حذف](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**مقادیر بازگشتی**
|
||||
|
||||
بازگرداندن مجموعه ای از تفاوت بین عناصر مجاور.
|
||||
|
||||
نوع: [اینترنت\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#int-ranges), [شناور\*](https://clickhouse.yandex/docs/en/data_types/float/).
|
||||
نوع: [اینترنت\*](https://clickhouse.tech/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.tech/docs/en/data_types/int_uint/#int-ranges), [شناور\*](https://clickhouse.tech/docs/en/data_types/float/).
|
||||
|
||||
**مثال**
|
||||
|
||||
@ -754,7 +754,7 @@ arrayDistinct(array)
|
||||
|
||||
**پارامترها**
|
||||
|
||||
- `array` – [& حذف](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [& حذف](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**مقادیر بازگشتی**
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ toc_title: '2017'
|
||||
#### ویژگی های جدید: {#new-features}
|
||||
|
||||
- کلید پارتیشن بندی سفارشی برای خانواده ادغام موتورهای جدول.
|
||||
- [کافکا](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) موتور جدول.
|
||||
- [کافکا](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) موتور جدول.
|
||||
- اضافه شدن پشتیبانی برای بارگذاری [مانتو](https://catboost.yandex/) مدل ها و استفاده از داده های ذخیره شده در کلیک.
|
||||
- اضافه شدن پشتیبانی برای مناطق زمانی با شیپور خاموشی غیر عدد صحیح از مجموعه مقالات.
|
||||
- اضافه شدن پشتیبانی برای عملیات ریاضی با فواصل زمانی.
|
||||
|
||||
@ -14,6 +14,7 @@ toc_title: "Int\xE9gration"
|
||||
|
||||
- Systèmes de gestion de bases de données relationnelles
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-lecteur de données](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-réplicateur](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -37,7 +37,7 @@ toc_title: Adoptant
|
||||
| <a href="https://www.exness.com" class="favicon">Exness</a> | Trading | Métriques, Journalisation | — | — | [Parler en russe, mai 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://geniee.co.jp" class="favicon">Geniee</a> | Réseau publicitaire | Produit principal | — | — | [Billet de Blog en japonais, juillet 2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| <a href="https://www.huya.com/" class="favicon">HUYA</a> | Le Streaming Vidéo | Analytics | — | — | [Diapositives en chinois, octobre 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Immobilier | Analytics | — | — | [Billet de Blog en anglais, avril 2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Immobilier | Analytics | — | — | [Billet de Blog en anglais, avril 2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.infovista.com/" class="favicon">Infovista</a> | Réseau | Analytics | — | — | [Diapositives en anglais, octobre 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| <a href="https://www.innogames.com" class="favicon">InnoGames</a> | Jeu | Métriques, Journalisation | — | — | [Diapositives en russe, septembre 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| <a href="https://integros.com" class="favicon">Integros</a> | Plate-forme pour les services vidéo | Analytics | — | — | [Diapositives en russe, mai 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` le domaine prend en charge le format d'entrée personnalisé en tant que chaînes IPv4:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` le domaine prend en charge l'entrée personnalisée en tant que chaînes IPv6:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -702,13 +702,13 @@ arrayDifference(array)
|
||||
|
||||
**Paramètre**
|
||||
|
||||
- `array` – [Tableau](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Tableau](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Valeurs renvoyées**
|
||||
|
||||
Renvoie un tableau de différences entre les éléments adjacents.
|
||||
|
||||
Type: [UInt\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#int-ranges), [Flottant\*](https://clickhouse.yandex/docs/en/data_types/float/).
|
||||
Type: [UInt\*](https://clickhouse.tech/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.tech/docs/en/data_types/int_uint/#int-ranges), [Flottant\*](https://clickhouse.tech/docs/en/data_types/float/).
|
||||
|
||||
**Exemple**
|
||||
|
||||
@ -754,7 +754,7 @@ arrayDistinct(array)
|
||||
|
||||
**Paramètre**
|
||||
|
||||
- `array` – [Tableau](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Tableau](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Valeurs renvoyées**
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ Cette version contient des corrections de bugs pour la version précédente 1.1.
|
||||
#### Nouveauté: {#new-features}
|
||||
|
||||
- Clé de partitionnement personnalisée pour la famille MergeTree des moteurs de table.
|
||||
- [Kafka](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) tableau moteur.
|
||||
- [Kafka](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) tableau moteur.
|
||||
- Ajout du support pour le chargement [CatBoost](https://catboost.yandex/) modèles et les appliquer aux données stockées dans ClickHouse.
|
||||
- Ajout du support pour les fuseaux horaires avec des décalages non entiers de UTC.
|
||||
- Ajout du support pour les opérations arithmétiques avec des intervalles de temps.
|
||||
|
||||
@ -14,6 +14,7 @@ toc_title: "\u7D71\u5408"
|
||||
|
||||
- リレーショナルデータベース管理システム
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-データリーダー](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-レプリケーター](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -37,7 +37,7 @@ toc_title: "\u30A2\u30C0\u30D7\u30BF\u30FC"
|
||||
| <a href="https://www.exness.com" class="favicon">Exness</a> | 取引 | 指標、ロギング | — | — | [ロシア語で話す,May2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://geniee.co.jp" class="favicon">魔神</a> | 広告ネットワーク | 主な製品 | — | — | [ブログ投稿日本語,July2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| <a href="https://www.huya.com/" class="favicon">HUYA</a> | ビデオストリーミング | 分析 | — | — | [中国語でのスライド,October2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| <a href="https://www.idealista.com" class="favicon">イデアリスタ</a> | 不動産 | 分析 | — | — | [ブログ投稿英語,April2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.idealista.com" class="favicon">イデアリスタ</a> | 不動産 | 分析 | — | — | [ブログ投稿英語,April2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.infovista.com/" class="favicon">インフォビスタ</a> | ネット | 分析 | — | — | [2019年のスライド](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| <a href="https://www.innogames.com" class="favicon">InnoGames</a> | ゲーム | 指標、ロギング | — | — | [2019年ロシア](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| <a href="https://integros.com" class="favicon">インテグロス</a> | Platformビデオサービス | 分析 | — | — | [ロシア語でのスライド,月2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -69,4 +69,4 @@ ClickHouseには、精度を犠牲にしてパフォーマンスを得るため
|
||||
2. 既に挿入されたデータの変更または削除を、高頻度かつ低遅延に行う機能はありません。 [GDPR](https://gdpr-info.eu)に準拠するなど、データをクリーンアップまたは変更するために、バッチ削除およびバッチ更新が利用可能です。
|
||||
3. インデックスが疎であるため、ClickHouseは、キーで単一行を取得するようなクエリにはあまり適していません。
|
||||
|
||||
[Original article](https://clickhouse.yandex/docs/en/introduction/distinctive_features/) <!--hide-->
|
||||
[Original article](https://clickhouse.tech/docs/en/introduction/distinctive_features/) <!--hide-->
|
||||
|
||||
@ -48,4 +48,4 @@ Yandex.Metricaには、Metrageと呼ばれるデータを集計するための
|
||||
|
||||
OLAPServerの制限を取り除き、レポートのための非集計データを扱う問題を解決するために、私達は ClickHouse DBMSを開発しました。
|
||||
|
||||
[Original article](https://clickhouse.yandex/docs/en/introduction/history/) <!--hide-->
|
||||
[Original article](https://clickhouse.tech/docs/en/introduction/history/) <!--hide-->
|
||||
|
||||
@ -5,9 +5,9 @@ toc_title: "\u30D1\u30D5\u30A9\u30FC\u30DE\u30F3\u30B9"
|
||||
|
||||
# パフォーマンス {#pahuomansu}
|
||||
|
||||
Yandexの内部テスト結果によると、ClickHouseは、テスト可能なクラスのシステム間で同等の動作シナリオで最高のパフォーマンス(長時間のクエリで最も高いスループットと、短時間のクエリで最小のレイテンシの両方)を示します。 [別のページで](https://clickhouse.yandex/benchmark/dbms/)テスト結果を表示できます 。
|
||||
Yandexの内部テスト結果によると、ClickHouseは、テスト可能なクラスのシステム間で同等の動作シナリオで最高のパフォーマンス(長時間のクエリで最も高いスループットと、短時間のクエリで最小のレイテンシの両方)を示します。 [別のページで](https://clickhouse.tech/benchmark/dbms/)テスト結果を表示できます 。
|
||||
|
||||
これは、多数の独立したベンチマークでも確認されています。インターネット検索で見つけることは難しくありませんし、 [私達がまとめた関連リンク集](https://clickhouse.yandex/#independent-benchmarks) から見つけることもできます。
|
||||
これは、多数の独立したベンチマークでも確認されています。インターネット検索で見つけることは難しくありませんし、 [私達がまとめた関連リンク集](https://clickhouse.tech/#independent-benchmarks) から見つけることもできます。
|
||||
|
||||
## 単一の巨大なクエリのスループット {#dan-yi-noju-da-nakuerinosurupututo}
|
||||
|
||||
@ -27,4 +27,4 @@ Yandexの内部テスト結果によると、ClickHouseは、テスト可能な
|
||||
|
||||
少なくとも1000行のパケットにデータを挿入することをお勧めします。または、1秒あたり1回のリクエストを超えないでください。タブ区切りのダンプデータをMergeTreeテーブルに挿入する場合、挿入速度は50〜200MB/sになります。挿入された行のサイズが約1Kbの場合、速度は毎秒50,000〜200,000行になります。行が小さい場合、パフォーマンスは1秒あたりの行数で高くなります(Banner System データ- `>` 500,000行/秒、Graphite データ- `>` 1,000,000行/秒)。パフォーマンスを向上させるために、複数のINSERTクエリを並行して作成することで、パフォーマンスを線形に向上できます。
|
||||
|
||||
[Original article](https://clickhouse.yandex/docs/ja/introduction/performance/) <!--hide-->
|
||||
[Original article](https://clickhouse.tech/docs/ja/introduction/performance/) <!--hide-->
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` ドメインはIPv4文字列としてカスタム入力形式をサポート:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` ドメイ:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -702,13 +702,13 @@ arrayDifference(array)
|
||||
|
||||
**パラメータ**
|
||||
|
||||
- `array` – [配列](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [配列](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**戻り値**
|
||||
|
||||
隣接する要素間の差分の配列を返します。
|
||||
|
||||
タイプ: [UInt\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#int-ranges), [フロート\*](https://clickhouse.yandex/docs/en/data_types/float/).
|
||||
タイプ: [UInt\*](https://clickhouse.tech/docs/en/data_types/int_uint/#uint-ranges), [Int\*](https://clickhouse.tech/docs/en/data_types/int_uint/#int-ranges), [フロート\*](https://clickhouse.tech/docs/en/data_types/float/).
|
||||
|
||||
**例**
|
||||
|
||||
@ -754,7 +754,7 @@ arrayDistinct(array)
|
||||
|
||||
**パラメータ**
|
||||
|
||||
- `array` – [配列](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [配列](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**戻り値**
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ toc_title: '2017'
|
||||
#### 新しい機能: {#new-features}
|
||||
|
||||
- カスタムパーティショニングキーのMergeTree家族のテーブルエンジンです。
|
||||
- [カフカ](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) テーブルエンジン。
|
||||
- [カフカ](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) テーブルエンジン。
|
||||
- ロードのサポートを追加 [CatBoost](https://catboost.yandex/) モデルとClickHouseに格納されたデータにそれらを適用します。
|
||||
- サポートが追加された時間帯と非整数オフセットからのUTCです。
|
||||
- 時間間隔での算術演算のサポートが追加されました。
|
||||
|
||||
@ -7,6 +7,7 @@
|
||||
|
||||
- Реляционные системы управления базами данных
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-data-reader](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-replicator](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -78,7 +78,7 @@ ClickHouse проверит условия `min_part_size` и `min_part_size_rat
|
||||
<default_profile>default</default_profile>
|
||||
```
|
||||
|
||||
## dictionaries\_config {#dictionaries-config}
|
||||
## dictionaries\_config {#server_configuration_parameters-dictionaries_config}
|
||||
|
||||
Путь к конфигурации внешних словарей.
|
||||
|
||||
@ -95,7 +95,7 @@ ClickHouse проверит условия `min_part_size` и `min_part_size_rat
|
||||
<dictionaries_config>*_dictionary.xml</dictionaries_config>
|
||||
```
|
||||
|
||||
## dictionaries\_lazy\_load {#dictionaries-lazy-load}
|
||||
## dictionaries\_lazy\_load {#server_configuration_parameters-dictionaries_lazy_load}
|
||||
|
||||
Отложенная загрузка словарей.
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` поддерживает вставку в виде строк с текстовым представлением IPv4 адреса:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -26,7 +26,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` поддерживает вставку в виде строк с текстовым представлением IPv6 адреса:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -692,7 +692,7 @@ arrayDifference(array)
|
||||
|
||||
**Параметры**
|
||||
|
||||
- `array` – [Массив](https://clickhouse.yandex/docs/ru/data_types/array/).
|
||||
- `array` – [Массив](https://clickhouse.tech/docs/ru/data_types/array/).
|
||||
|
||||
**Возвращаемое значение**
|
||||
|
||||
@ -742,7 +742,7 @@ arrayDistinct(array)
|
||||
|
||||
**Параметры**
|
||||
|
||||
- `array` – [Массив](https://clickhouse.yandex/docs/ru/data_types/array/).
|
||||
- `array` – [Массив](https://clickhouse.tech/docs/ru/data_types/array/).
|
||||
|
||||
**Возвращаемое значение**
|
||||
|
||||
|
||||
@ -1153,4 +1153,52 @@ SELECT number, randomPrintableASCII(30) as str, length(str) FROM system.numbers
|
||||
└────────┴────────────────────────────────┴──────────────────────────────────┘
|
||||
```
|
||||
|
||||
## randomString {#randomstring}
|
||||
|
||||
Генерирует бинарную строку заданной длины, заполненную случайными байтами (в том числе нулевыми).
|
||||
|
||||
**Синтаксис**
|
||||
|
||||
``` sql
|
||||
randomString(length)
|
||||
```
|
||||
|
||||
**Параметры**
|
||||
|
||||
- `length` — длина строки. Положительное целое число.
|
||||
|
||||
**Возвращаемое значение**
|
||||
|
||||
- Строка, заполненная случайными байтами.
|
||||
|
||||
Type: [String](../../sql-reference/data-types/string.md).
|
||||
|
||||
**Пример**
|
||||
|
||||
Запрос:
|
||||
|
||||
``` sql
|
||||
SELECT randomString(30) AS str, length(str) AS len FROM numbers(2) FORMAT Vertical;
|
||||
```
|
||||
|
||||
Ответ:
|
||||
|
||||
``` text
|
||||
Row 1:
|
||||
──────
|
||||
str: 3 G : pT ?w тi k aV f6
|
||||
len: 30
|
||||
|
||||
Row 2:
|
||||
──────
|
||||
str: 9 ,] ^ ) ]?? 8
|
||||
len: 30
|
||||
```
|
||||
|
||||
**Смотрите также**
|
||||
|
||||
- [generateRandom](../../sql-reference/table-functions/generate.md#generaterandom)
|
||||
- [randomPrintableASCII](../../sql-reference/functions/other-functions.md#randomascii)
|
||||
|
||||
|
||||
[Оригинальная статья](https://clickhouse.tech/docs/ru/query_language/functions/other_functions/) <!--hide-->
|
||||
|
||||
@ -45,7 +45,11 @@ FROM <left_table>
|
||||
|
||||
`ASOF JOIN` применим в том случае, когда необходимо объединять записи, которые не имеют точного совпадения.
|
||||
|
||||
Таблицы для `ASOF JOIN` должны иметь столбец с отсортированной последовательностью. Этот столбец не может быть единственным в таблице и должен быть одного из типов: `UInt32`, `UInt64`, `Float32`, `Float64`, `Date` и `DateTime`.
|
||||
Для работы алгоритма необходим специальный столбец в таблицах. Этот столбец:
|
||||
|
||||
- Должен содержать упорядоченную последовательность.
|
||||
- Может быть одного из следующих типов: [Int*, UInt*](../../data-types/int-uint.md), [Float*](../../data-types/float.md), [Date](../../data-types/date.md), [DateTime](../../data-types/datetime.md), [Decimal*](../../data-types/decimal.md).
|
||||
- Не может быть единственным столбцом в секции `JOIN`.
|
||||
|
||||
Синтаксис `ASOF JOIN ... ON`:
|
||||
|
||||
|
||||
@ -38,7 +38,7 @@
|
||||
## RELOAD DICTIONARIES {#query_language-system-reload-dictionaries}
|
||||
|
||||
Перегружает все словари, которые были успешно загружены до этого.
|
||||
По умолчанию включена ленивая загрузка [dictionaries\_lazy\_load](../../sql-reference/statements/system.md#dictionaries-lazy-load), поэтому словари не загружаются автоматически при старте, а только при первом обращении через dictGet или SELECT к ENGINE=Dictionary. После этого такие словари (LOADED) будут перегружаться командой `system reload dictionaries`.
|
||||
По умолчанию включена ленивая загрузка [dictionaries\_lazy\_load](../../operations/server-configuration-parameters/settings.md#server_configuration_parameters-dictionaries_lazy_load), поэтому словари не загружаются автоматически при старте, а только при первом обращении через dictGet или SELECT к ENGINE=Dictionary. После этого такие словари (LOADED) будут перегружаться командой `system reload dictionaries`.
|
||||
Всегда возвращает `Ok.`, вне зависимости от результата обновления словарей.
|
||||
|
||||
## RELOAD DICTIONARY Dictionary\_name {#query_language-system-reload-dictionary}
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
# generateRandom {#generateRandom}
|
||||
# generateRandom {#generaterandom}
|
||||
|
||||
Генерирует случайные данные с заданной схемой.
|
||||
Позволяет заполнять тестовые таблицы данными.
|
||||
|
||||
107
docs/tools/blog.py
Normal file
107
docs/tools/blog.py
Normal file
@ -0,0 +1,107 @@
|
||||
#!/usr/bin/env python3
|
||||
import datetime
|
||||
import logging
|
||||
import os
|
||||
import time
|
||||
|
||||
import nav # monkey patches mkdocs
|
||||
|
||||
import mkdocs.commands
|
||||
from mkdocs import config
|
||||
from mkdocs import exceptions
|
||||
|
||||
import mdx_clickhouse
|
||||
import redirects
|
||||
|
||||
import util
|
||||
|
||||
|
||||
def build_for_lang(lang, args):
|
||||
logging.info(f'Building {lang} blog')
|
||||
|
||||
try:
|
||||
theme_cfg = {
|
||||
'name': None,
|
||||
'custom_dir': os.path.join(os.path.dirname(__file__), '..', args.theme_dir),
|
||||
'language': lang,
|
||||
'direction': 'ltr',
|
||||
'static_templates': ['404.html'],
|
||||
'extra': {
|
||||
'now': int(time.mktime(datetime.datetime.now().timetuple())) # TODO better way to avoid caching
|
||||
}
|
||||
}
|
||||
|
||||
# the following list of languages is sorted according to
|
||||
# https://en.wikipedia.org/wiki/List_of_languages_by_total_number_of_speakers
|
||||
languages = {
|
||||
'en': 'English',
|
||||
'ru': 'Русский'
|
||||
}
|
||||
|
||||
site_names = {
|
||||
'en': 'ClickHouse Blog',
|
||||
'ru': 'Блог ClickHouse '
|
||||
}
|
||||
|
||||
assert len(site_names) == len(languages)
|
||||
|
||||
site_dir = os.path.join(args.blog_output_dir, lang)
|
||||
|
||||
plugins = ['macros']
|
||||
if args.htmlproofer:
|
||||
plugins.append('htmlproofer')
|
||||
|
||||
website_url = 'https://clickhouse.tech'
|
||||
site_name = site_names.get(lang, site_names['en'])
|
||||
blog_nav, post_meta = nav.build_blog_nav(lang, args)
|
||||
raw_config = dict(
|
||||
site_name=site_name,
|
||||
site_url=f'{website_url}/blog/{lang}/',
|
||||
docs_dir=os.path.join(args.blog_dir, lang),
|
||||
site_dir=site_dir,
|
||||
strict=True,
|
||||
theme=theme_cfg,
|
||||
nav=blog_nav,
|
||||
copyright='©2016–2020 Yandex LLC',
|
||||
use_directory_urls=True,
|
||||
repo_name='ClickHouse/ClickHouse',
|
||||
repo_url='https://github.com/ClickHouse/ClickHouse/',
|
||||
edit_uri=f'edit/master/website/blog/{lang}',
|
||||
markdown_extensions=mdx_clickhouse.MARKDOWN_EXTENSIONS,
|
||||
plugins=plugins,
|
||||
extra=dict(
|
||||
now=datetime.datetime.now().isoformat(),
|
||||
rev=args.rev,
|
||||
rev_short=args.rev_short,
|
||||
rev_url=args.rev_url,
|
||||
website_url=website_url,
|
||||
events=args.events,
|
||||
languages=languages,
|
||||
includes_dir=os.path.join(os.path.dirname(__file__), '..', '_includes'),
|
||||
is_amp=False,
|
||||
is_blog=True,
|
||||
post_meta=post_meta
|
||||
)
|
||||
)
|
||||
|
||||
cfg = config.load_config(**raw_config)
|
||||
mkdocs.commands.build.build(cfg)
|
||||
|
||||
redirects.build_blog_redirects(args)
|
||||
|
||||
# TODO: AMP for blog
|
||||
# if not args.skip_amp:
|
||||
# amp.build_amp(lang, args, cfg)
|
||||
|
||||
logging.info(f'Finished building {lang} blog')
|
||||
|
||||
except exceptions.ConfigurationError as e:
|
||||
raise SystemExit('\n' + str(e))
|
||||
|
||||
|
||||
def build_blog(args):
|
||||
tasks = []
|
||||
for lang in args.blog_lang.split(','):
|
||||
if lang:
|
||||
tasks.append((lang, args,))
|
||||
util.run_function_in_parallel(build_for_lang, tasks, threads=False)
|
||||
@ -20,8 +20,8 @@ from mkdocs import exceptions
|
||||
import mkdocs.commands.build
|
||||
|
||||
import amp
|
||||
import blog
|
||||
import mdx_clickhouse
|
||||
|
||||
import redirects
|
||||
import single_page
|
||||
import test
|
||||
@ -95,25 +95,6 @@ def build_for_lang(lang, args):
|
||||
else:
|
||||
site_dir = os.path.join(args.docs_output_dir, lang)
|
||||
|
||||
markdown_extensions = [
|
||||
'mdx_clickhouse',
|
||||
'admonition',
|
||||
'attr_list',
|
||||
'codehilite',
|
||||
'nl2br',
|
||||
'sane_lists',
|
||||
'pymdownx.details',
|
||||
'pymdownx.magiclink',
|
||||
'pymdownx.superfences',
|
||||
'extra',
|
||||
{
|
||||
'toc': {
|
||||
'permalink': True,
|
||||
'slugify': mdx_clickhouse.slugify
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
plugins = ['macros']
|
||||
if args.htmlproofer:
|
||||
plugins.append('htmlproofer')
|
||||
@ -133,7 +114,7 @@ def build_for_lang(lang, args):
|
||||
repo_name='ClickHouse/ClickHouse',
|
||||
repo_url='https://github.com/ClickHouse/ClickHouse/',
|
||||
edit_uri=f'edit/master/docs/{lang}',
|
||||
markdown_extensions=markdown_extensions,
|
||||
markdown_extensions=mdx_clickhouse.MARKDOWN_EXTENSIONS,
|
||||
plugins=plugins,
|
||||
extra=dict(
|
||||
now=datetime.datetime.now().isoformat(),
|
||||
@ -147,14 +128,15 @@ def build_for_lang(lang, args):
|
||||
events=args.events,
|
||||
languages=languages,
|
||||
includes_dir=os.path.join(os.path.dirname(__file__), '..', '_includes'),
|
||||
is_amp=False
|
||||
is_amp=False,
|
||||
is_blog=False
|
||||
)
|
||||
)
|
||||
|
||||
if os.path.exists(config_path):
|
||||
raw_config['config_file'] = config_path
|
||||
else:
|
||||
raw_config['nav'] = nav.build_nav(lang, args)
|
||||
raw_config['nav'] = nav.build_docs_nav(lang, args)
|
||||
|
||||
cfg = config.load_config(**raw_config)
|
||||
|
||||
@ -187,7 +169,7 @@ def build_docs(args):
|
||||
if lang:
|
||||
tasks.append((lang, args,))
|
||||
util.run_function_in_parallel(build_for_lang, tasks, threads=False)
|
||||
redirects.build_redirects(args)
|
||||
redirects.build_docs_redirects(args)
|
||||
|
||||
|
||||
def build(args):
|
||||
@ -204,6 +186,9 @@ def build(args):
|
||||
from github import build_releases
|
||||
build_releases(args, build_docs)
|
||||
|
||||
if not args.skip_blog:
|
||||
blog.build_blog(args)
|
||||
|
||||
if not args.skip_website:
|
||||
website.process_benchmark_results(args)
|
||||
website.minify_website(args)
|
||||
@ -215,12 +200,14 @@ if __name__ == '__main__':
|
||||
website_dir = os.path.join('..', 'website')
|
||||
arg_parser = argparse.ArgumentParser()
|
||||
arg_parser.add_argument('--lang', default='en,es,fr,ru,zh,ja,tr,fa')
|
||||
arg_parser.add_argument('--blog-lang', default='en,ru')
|
||||
arg_parser.add_argument('--docs-dir', default='.')
|
||||
arg_parser.add_argument('--theme-dir', default=website_dir)
|
||||
arg_parser.add_argument('--website-dir', default=website_dir)
|
||||
arg_parser.add_argument('--blog-dir', default=os.path.join(website_dir, 'blog'))
|
||||
arg_parser.add_argument('--output-dir', default='build')
|
||||
arg_parser.add_argument('--enable-stable-releases', action='store_true')
|
||||
arg_parser.add_argument('--stable-releases-limit', type=int, default='4')
|
||||
arg_parser.add_argument('--stable-releases-limit', type=int, default='3')
|
||||
arg_parser.add_argument('--lts-releases-limit', type=int, default='2')
|
||||
arg_parser.add_argument('--nav-limit', type=int, default='0')
|
||||
arg_parser.add_argument('--version-prefix', type=str, default='')
|
||||
@ -230,6 +217,7 @@ if __name__ == '__main__':
|
||||
arg_parser.add_argument('--skip-amp', action='store_true')
|
||||
arg_parser.add_argument('--skip-pdf', action='store_true')
|
||||
arg_parser.add_argument('--skip-website', action='store_true')
|
||||
arg_parser.add_argument('--skip-blog', action='store_true')
|
||||
arg_parser.add_argument('--skip-git-log', action='store_true')
|
||||
arg_parser.add_argument('--test-only', action='store_true')
|
||||
arg_parser.add_argument('--minify', action='store_true')
|
||||
@ -249,6 +237,7 @@ if __name__ == '__main__':
|
||||
logging.getLogger('MARKDOWN').setLevel(logging.INFO)
|
||||
|
||||
args.docs_output_dir = os.path.join(os.path.abspath(args.output_dir), 'docs')
|
||||
args.blog_output_dir = os.path.join(os.path.abspath(args.output_dir), 'blog')
|
||||
|
||||
from github import choose_latest_releases, get_events
|
||||
args.stable_releases = choose_latest_releases(args) if args.enable_stable_releases else []
|
||||
@ -259,6 +248,7 @@ if __name__ == '__main__':
|
||||
|
||||
if args.test_only:
|
||||
args.skip_multi_page = True
|
||||
args.skip_blog = True
|
||||
args.skip_website = True
|
||||
args.skip_pdf = True
|
||||
args.skip_amp = True
|
||||
|
||||
@ -18,6 +18,30 @@ import amp
|
||||
import website
|
||||
|
||||
|
||||
def slugify(value, separator):
|
||||
return slugify_impl.slugify(value, separator=separator, word_boundary=True, save_order=True)
|
||||
|
||||
|
||||
MARKDOWN_EXTENSIONS = [
|
||||
'mdx_clickhouse',
|
||||
'admonition',
|
||||
'attr_list',
|
||||
'codehilite',
|
||||
'nl2br',
|
||||
'sane_lists',
|
||||
'pymdownx.details',
|
||||
'pymdownx.magiclink',
|
||||
'pymdownx.superfences',
|
||||
'extra',
|
||||
{
|
||||
'toc': {
|
||||
'permalink': True,
|
||||
'slugify': slugify
|
||||
}
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
class ClickHouseLinkMixin(object):
|
||||
|
||||
def handleMatch(self, m, data):
|
||||
@ -72,10 +96,6 @@ def makeExtension(**kwargs):
|
||||
return ClickHouseMarkdown(**kwargs)
|
||||
|
||||
|
||||
def slugify(value, separator):
|
||||
return slugify_impl.slugify(value, separator=separator, word_boundary=True, save_order=True)
|
||||
|
||||
|
||||
def get_translations(dirname, lang):
|
||||
import babel.support
|
||||
return babel.support.Translations.load(
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
import collections
|
||||
import datetime
|
||||
import logging
|
||||
import os
|
||||
|
||||
@ -19,7 +20,8 @@ def build_nav_entry(root, args):
|
||||
return None, None, None
|
||||
result_items = []
|
||||
index_meta, index_content = util.read_md_file(os.path.join(root, 'index.md'))
|
||||
current_title = index_meta.get('toc_folder_title', index_meta.get('toc_title', find_first_header(index_content)))
|
||||
current_title = index_meta.get('toc_folder_title', index_meta.get('toc_title'))
|
||||
current_title = current_title or index_meta.get('title', find_first_header(index_content))
|
||||
for filename in os.listdir(root):
|
||||
path = os.path.join(root, filename)
|
||||
if os.path.isdir(path):
|
||||
@ -47,7 +49,7 @@ def build_nav_entry(root, args):
|
||||
return index_meta.get('toc_priority', 10000), current_title, result
|
||||
|
||||
|
||||
def build_nav(lang, args):
|
||||
def build_docs_nav(lang, args):
|
||||
docs_dir = os.path.join(args.docs_dir, lang)
|
||||
_, _, nav = build_nav_entry(docs_dir, args)
|
||||
result = []
|
||||
@ -64,10 +66,50 @@ def build_nav(lang, args):
|
||||
key = list(result[0].keys())[0]
|
||||
result[0][key][index_key] = 'index.md'
|
||||
result[0][key].move_to_end(index_key, last=False)
|
||||
print('result', result)
|
||||
return result
|
||||
|
||||
|
||||
def build_blog_nav(lang, args):
|
||||
blog_dir = os.path.join(args.blog_dir, lang)
|
||||
years = sorted(os.listdir(blog_dir), reverse=True)
|
||||
result_nav = [{'hidden': 'index.md'}]
|
||||
post_meta = collections.OrderedDict()
|
||||
for year in years:
|
||||
year_dir = os.path.join(blog_dir, year)
|
||||
if not os.path.isdir(year_dir):
|
||||
continue
|
||||
result_nav.append({year: collections.OrderedDict()})
|
||||
posts = []
|
||||
post_meta_items = []
|
||||
for post in os.listdir(year_dir):
|
||||
meta, _ = util.read_md_file(os.path.join(year_dir, post))
|
||||
post_date = meta['date']
|
||||
post_title = meta['title']
|
||||
if datetime.date.fromisoformat(post_date) > datetime.date.today():
|
||||
continue
|
||||
posts.append(
|
||||
(post_date, post_title, os.path.join(year, post),)
|
||||
)
|
||||
if post_title in post_meta:
|
||||
raise RuntimeError(f'Duplicate post title: {post_title}')
|
||||
if not post_date.startswith(f'{year}-'):
|
||||
raise RuntimeError(f'Post date {post_date} doesn\'t match the folder year {year}: {post_title}')
|
||||
post_url_part = post.replace('.md', '')
|
||||
post_meta_items.append((post_date, {
|
||||
'date': post_date,
|
||||
'title': post_title,
|
||||
'image': meta.get('image'),
|
||||
'url': f'/blog/{lang}/{year}/{post_url_part}/'
|
||||
},))
|
||||
for _, title, path in sorted(posts, reverse=True):
|
||||
result_nav[-1][year][title] = path
|
||||
for _, post_meta_item in sorted(post_meta_items,
|
||||
reverse=True,
|
||||
key=lambda item: item[0]):
|
||||
post_meta[post_meta_item['title']] = post_meta_item
|
||||
return result_nav, post_meta
|
||||
|
||||
|
||||
def _custom_get_navigation(files, config):
|
||||
nav_config = config['nav'] or mkdocs.structure.nav.nest_paths(f.src_path for f in files.documentation_pages())
|
||||
items = mkdocs.structure.nav._data_to_navigation(nav_config, files, config)
|
||||
|
||||
@ -25,24 +25,34 @@ def write_redirect_html(out_path, to_url):
|
||||
</html>''')
|
||||
|
||||
|
||||
def build_redirect_html(args, from_path, to_path):
|
||||
for lang in args.lang.split(','):
|
||||
out_path = os.path.join(
|
||||
args.docs_output_dir, lang,
|
||||
from_path.replace('/index.md', '/index.html').replace('.md', '/index.html')
|
||||
)
|
||||
version_prefix = f'/{args.version_prefix}/' if args.version_prefix else '/'
|
||||
target_path = to_path.replace('/index.md', '/').replace('.md', '/')
|
||||
to_url = f'/docs{version_prefix}{lang}/{target_path}'
|
||||
to_url = to_url.strip()
|
||||
write_redirect_html(out_path, to_url)
|
||||
def build_redirect_html(args, base_prefix, lang, output_dir, from_path, to_path):
|
||||
out_path = os.path.join(
|
||||
output_dir, lang,
|
||||
from_path.replace('/index.md', '/index.html').replace('.md', '/index.html')
|
||||
)
|
||||
version_prefix = f'/{args.version_prefix}/' if args.version_prefix else '/'
|
||||
target_path = to_path.replace('/index.md', '/').replace('.md', '/')
|
||||
to_url = f'/{base_prefix}{version_prefix}{lang}/{target_path}'
|
||||
to_url = to_url.strip()
|
||||
write_redirect_html(out_path, to_url)
|
||||
|
||||
|
||||
def build_redirects(args):
|
||||
def build_docs_redirects(args):
|
||||
with open(os.path.join(args.docs_dir, 'redirects.txt'), 'r') as f:
|
||||
for line in f:
|
||||
from_path, to_path = line.split(' ', 1)
|
||||
build_redirect_html(args, from_path, to_path)
|
||||
for lang in args.lang.split(','):
|
||||
from_path, to_path = line.split(' ', 1)
|
||||
build_redirect_html(args, 'docs', lang, args.docs_output_dir, from_path, to_path)
|
||||
|
||||
|
||||
def build_blog_redirects(args):
|
||||
for lang in args.blog_lang.split(','):
|
||||
redirects_path = os.path.join(args.blog_dir, lang, 'redirects.txt')
|
||||
if os.path.exists(redirects_path):
|
||||
with open(redirects_path, 'r') as f:
|
||||
for line in f:
|
||||
from_path, to_path = line.split(' ', 1)
|
||||
build_redirect_html(args, 'blog', lang, args.blog_output_dir, from_path, to_path)
|
||||
|
||||
|
||||
def build_static_redirects(args):
|
||||
|
||||
@ -1,7 +1,7 @@
|
||||
Babel==2.8.0
|
||||
certifi==2020.4.5.2
|
||||
chardet==3.0.4
|
||||
googletrans==2.4.0
|
||||
googletrans==3.0.0
|
||||
idna==2.9
|
||||
Jinja2==2.11.2
|
||||
pandocfilters==1.4.2
|
||||
|
||||
@ -17,20 +17,56 @@ import jsmin
|
||||
import mdx_clickhouse
|
||||
|
||||
|
||||
def handle_iframe(iframe, soup):
|
||||
if not iframe.attrs['src'].startswith('https://www.youtube.com/'):
|
||||
raise RuntimeError('iframes are allowed only for YouTube')
|
||||
wrapper = soup.new_tag('div')
|
||||
wrapper.attrs['class'] = ['embed-responsive', 'embed-responsive-16by9']
|
||||
iframe.insert_before(wrapper)
|
||||
iframe.extract()
|
||||
wrapper.insert(0, iframe)
|
||||
if 'width' in iframe.attrs:
|
||||
del iframe.attrs['width']
|
||||
if 'height' in iframe.attrs:
|
||||
del iframe.attrs['height']
|
||||
iframe.attrs['allow'] = 'accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture'
|
||||
iframe.attrs['class'] = 'embed-responsive-item'
|
||||
iframe.attrs['frameborder'] = '0'
|
||||
iframe.attrs['allowfullscreen'] = '1'
|
||||
|
||||
|
||||
def adjust_markdown_html(content):
|
||||
soup = bs4.BeautifulSoup(
|
||||
content,
|
||||
features='html.parser'
|
||||
)
|
||||
|
||||
for a in soup.find_all('a'):
|
||||
a_class = a.attrs.get('class')
|
||||
if a_class and 'headerlink' in a_class:
|
||||
a.string = '\xa0'
|
||||
|
||||
for iframe in soup.find_all('iframe'):
|
||||
handle_iframe(iframe, soup)
|
||||
|
||||
for img in soup.find_all('img'):
|
||||
if img.attrs.get('alt') == 'iframe':
|
||||
img.name = 'iframe'
|
||||
img.string = ''
|
||||
handle_iframe(img, soup)
|
||||
continue
|
||||
img_class = img.attrs.get('class')
|
||||
if img_class:
|
||||
img.attrs['class'] = img_class + ['img-fluid']
|
||||
else:
|
||||
img.attrs['class'] = 'img-fluid'
|
||||
|
||||
for details in soup.find_all('details'):
|
||||
for summary in details.find_all('summary'):
|
||||
if summary.parent != details:
|
||||
summary.extract()
|
||||
details.insert(0, summary)
|
||||
|
||||
for div in soup.find_all('div'):
|
||||
div_class = div.attrs.get('class')
|
||||
is_admonition = div_class and 'admonition' in div.attrs.get('class')
|
||||
@ -41,10 +77,12 @@ def adjust_markdown_html(content):
|
||||
a.attrs['class'] = a_class + ['alert-link']
|
||||
else:
|
||||
a.attrs['class'] = 'alert-link'
|
||||
|
||||
for p in div.find_all('p'):
|
||||
p_class = p.attrs.get('class')
|
||||
if is_admonition and p_class and ('admonition-title' in p_class):
|
||||
p.attrs['class'] = p_class + ['alert-heading', 'display-6', 'mb-2']
|
||||
|
||||
if is_admonition:
|
||||
div.attrs['role'] = 'alert'
|
||||
if ('info' in div_class) or ('note' in div_class):
|
||||
@ -136,6 +174,7 @@ def get_css_in(args):
|
||||
f"'{args.website_dir}/css/bootstrap.css'",
|
||||
f"'{args.website_dir}/css/docsearch.css'",
|
||||
f"'{args.website_dir}/css/base.css'",
|
||||
f"'{args.website_dir}/css/blog.css'",
|
||||
f"'{args.website_dir}/css/docs.css'",
|
||||
f"'{args.website_dir}/css/highlight.css'"
|
||||
]
|
||||
|
||||
@ -14,6 +14,7 @@ toc_title: Entegrasyonlar
|
||||
|
||||
- İlişkisel veritabanı yönetim sistemleri
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-data-reader](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-çoğaltıcı](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -37,7 +37,7 @@ toc_title: Benimseyenler
|
||||
| <a href="https://www.exness.com" class="favicon">Exness</a> | Ticaret | Metrikler, Günlük Kaydı | — | — | [Rusça konuşun, Mayıs 2019](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| <a href="https://geniee.co.jp" class="favicon">Geniee</a> | Reklam Ağı | Ana ürün | — | — | [Japonca Blog yazısı, Temmuz 2017](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| <a href="https://www.huya.com/" class="favicon">HUYA</a> | Video Akışı | Analiz | — | — | [Çince slaytlar, Ekim 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Emlak | Analiz | — | — | [İngilizce Blog yazısı, Nisan 2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.idealista.com" class="favicon">Idealista</a> | Emlak | Analiz | — | — | [İngilizce Blog yazısı, Nisan 2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| <a href="https://www.infovista.com/" class="favicon">Infovista</a> | Ağlar | Analiz | — | — | [İngilizce slaytlar, Ekim 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| <a href="https://www.innogames.com" class="favicon">Innogames</a> | Oyun | Metrikler, Günlük Kaydı | — | — | [Rusça slaytlar, Eylül 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| <a href="https://integros.com" class="favicon">Integros</a> | Video hizmetleri platformu | Analiz | — | — | [Rusça slaytlar, Mayıs 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv4` etki alanı IPv4 dizeleri olarak özel giriş biçimini destekler:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -33,7 +33,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
`IPv6` etki alanı IPv6 dizeleri olarak özel girişi destekler:
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -702,13 +702,13 @@ arrayDifference(array)
|
||||
|
||||
**Parametre**
|
||||
|
||||
- `array` – [Dizi](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Dizi](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Döndürülen değerler**
|
||||
|
||||
Bitişik öğeler arasındaki farklar dizisini döndürür.
|
||||
|
||||
Tür: [Uİnt\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#uint-ranges), [Tamsayı\*](https://clickhouse.yandex/docs/en/data_types/int_uint/#int-ranges), [Yüzdürmek\*](https://clickhouse.yandex/docs/en/data_types/float/).
|
||||
Tür: [Uİnt\*](https://clickhouse.tech/docs/en/data_types/int_uint/#uint-ranges), [Tamsayı\*](https://clickhouse.tech/docs/en/data_types/int_uint/#int-ranges), [Yüzdürmek\*](https://clickhouse.tech/docs/en/data_types/float/).
|
||||
|
||||
**Örnek**
|
||||
|
||||
@ -754,7 +754,7 @@ arrayDistinct(array)
|
||||
|
||||
**Parametre**
|
||||
|
||||
- `array` – [Dizi](https://clickhouse.yandex/docs/en/data_types/array/).
|
||||
- `array` – [Dizi](https://clickhouse.tech/docs/en/data_types/array/).
|
||||
|
||||
**Döndürülen değerler**
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ Bu sürüm önceki sürüm 1.1.54310 için hata düzeltmeleri içerir:
|
||||
#### Yenilik: {#new-features}
|
||||
|
||||
- Tablo motorları MergeTree ailesi için özel bölümleme anahtarı.
|
||||
- [Kafka](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) masa motoru.
|
||||
- [Kafka](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) masa motoru.
|
||||
- Yükleme için destek eklendi [CatBoost](https://catboost.yandex/) modelleri ve ClickHouse saklanan verilere uygulayarak.
|
||||
- UTC olmayan tamsayı uzaklıklar ile saat dilimleri için destek eklendi.
|
||||
- Zaman aralıklarıyla aritmetik işlemler için destek eklendi.
|
||||
|
||||
@ -1,7 +1,5 @@
|
||||
---
|
||||
machine_translated: true
|
||||
machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
|
||||
toc_folder_title: "\u6885\u6811\u5BB6\u65CF"
|
||||
toc_folder_title: "合并树家族"
|
||||
toc_priority: 28
|
||||
---
|
||||
|
||||
|
||||
@ -1,6 +1,4 @@
|
||||
---
|
||||
machine_translated: true
|
||||
machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
|
||||
toc_priority: 37
|
||||
toc_title: "\u7248\u672C\u96C6\u5408\u5728\u65B0\u6811"
|
||||
---
|
||||
@ -33,23 +31,23 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
|
||||
有关查询参数的说明，请参阅 [查询说明](../../../sql-reference/statements/create.md).
|
||||
|
||||
**发动机参数**
|
||||
**引擎参数**
|
||||
|
||||
``` sql
|
||||
VersionedCollapsingMergeTree(sign, version)
|
||||
```
|
||||
|
||||
- `sign` — Name of the column with the type of row: `1` 是一个 “state” 行, `-1` 是一个 “cancel” 划
|
||||
- `sign` — 指定行类型的列名: `1` 是一个 “state” 行, `-1` 是一个 “cancel” 划
|
||||
|
||||
列数据类型应为 `Int8`.
|
||||
|
||||
- `version` — Name of the column with the version of the object state.
|
||||
- `version` — 指定对象状态版本的列名。
|
||||
|
||||
列数据类型应为 `UInt*`.
|
||||
|
||||
**查询子句**
|
||||
**查询 Clauses**
|
||||
|
||||
当创建一个 `VersionedCollapsingMergeTree` 表，相同 [条款](mergetree.md) 需要创建一个时 `MergeTree` 桌子
|
||||
当创建一个 `VersionedCollapsingMergeTree` 表时，跟创建一个 `MergeTree`表的时候需要相同 [Clause](mergetree.md)
|
||||
|
||||
<details markdown="1">
|
||||
|
||||
@ -69,17 +67,17 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
|
||||
所有的参数，除了 `sign` 和 `version` 具有相同的含义 `MergeTree`.
|
||||
|
||||
- `sign` — Name of the column with the type of row: `1` 是一个 “state” 行, `-1` 是一个 “cancel” 划
|
||||
- `sign` — 指定行类型的列名: `1` 是一个 “state” 行, `-1` 是一个 “cancel” 划
|
||||
|
||||
Column Data Type — `Int8`.
|
||||
|
||||
- `version` — Name of the column with the version of the object state.
|
||||
- `version` — 指定对象状态版本的列名。
|
||||
|
||||
列数据类型应为 `UInt*`.
|
||||
|
||||
</details>
|
||||
|
||||
## 崩溃 {#table_engines_versionedcollapsingmergetree}
|
||||
## 折叠 {#table_engines_versionedcollapsingmergetree}
|
||||
|
||||
### 数据 {#data}
|
||||
|
||||
@ -125,23 +123,23 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
|
||||
1. 写入数据的程序应该记住对象的状态以取消它。 该 “cancel” 字符串应该是 “state” 与相反的字符串 `Sign`. 这增加了存储的初始大小，但允许快速写入数据。
|
||||
2. 列中长时间增长的数组由于写入负载而降低了引擎的效率。 数据越简单，效率就越高。
|
||||
3. `SELECT` 结果很大程度上取决于对象变化历史的一致性。 准备插入数据时要准确。 您可以通过不一致的数据获得不可预测的结果，例如会话深度等非负指标的负值。
|
||||
3. `SELECT` 结果很大程度上取决于对象变化历史的一致性。 准备插入数据时要准确。 不一致的数据将导致不可预测的结果，例如会话深度等非负指标的负值。
|
||||
|
||||
### 算法 {#table_engines-versionedcollapsingmergetree-algorithm}
|
||||
|
||||
当ClickHouse合并数据部分时，它会删除具有相同主键和版本且不同主键和版本的每对行 `Sign`. 行的顺序并不重要。
|
||||
当ClickHouse合并数据部分时，它会删除具有相同主键和版本但 `Sign`值不同的一对行. 行的顺序并不重要。
|
||||
|
||||
当ClickHouse插入数据时，它会按主键对行进行排序。 如果 `Version` 列不在主键中，ClickHouse将其隐式添加到主键作为最后一个字段并使用它进行排序。
|
||||
|
||||
## 选择数据 {#selecting-data}
|
||||
|
||||
ClickHouse不保证具有相同主键的所有行都将位于相同的结果数据部分中，甚至位于相同的物理服务器上。 对于写入数据和随后合并数据部分都是如此。 此外，ClickHouse流程 `SELECT` 具有多个线程的查询，并且无法预测结果中的行顺序。 这意味着聚合是必需的，如果有必要得到完全 “collapsed” 从数据 `VersionedCollapsingMergeTree` 桌子
|
||||
ClickHouse不保证具有相同主键的所有行都将位于相同的结果数据部分中，甚至位于相同的物理服务器上。 对于写入数据和随后合并数据部分都是如此。 此外，ClickHouse流程 `SELECT` 具有多个线程的查询，并且无法预测结果中的行顺序。 这意味着，如果有必要从`VersionedCollapsingMergeTree` 表中得到完全 “collapsed” 的数据，聚合是必需的。
|
||||
|
||||
要完成折叠，请使用 `GROUP BY` 考虑符号的子句和聚合函数。 例如，要计算数量，请使用 `sum(Sign)` 而不是 `count()`. 要计算的东西的总和，使用 `sum(Sign * x)` 而不是 `sum(x)`，并添加 `HAVING sum(Sign) > 0`.
|
||||
|
||||
聚合 `count`, `sum` 和 `avg` 可以这样计算。 聚合 `uniq` 如果对象至少具有一个非折叠状态，则可以计算。 聚合 `min` 和 `max` 无法计算是因为 `VersionedCollapsingMergeTree` 不保存折叠状态值的历史记录。
|
||||
|
||||
如果您需要提取数据 “collapsing” 但是，如果没有聚合（例如，要检查是否存在其最新值与某些条件匹配的行），则可以使用 `FINAL` 修饰符 `FROM` 条款 这种方法效率低下，不应与大型表一起使用。
|
||||
如果您需要提取数据 “collapsing” 但是，如果没有聚合（例如，要检查是否存在其最新值与某些条件匹配的行），则可以使用 `FINAL` 修饰 `FROM` 条件这种方法效率低下，不应与大型表一起使用。
|
||||
|
||||
## 使用示例 {#example-of-use}
|
||||
|
||||
@ -233,6 +231,6 @@ SELECT * FROM UAct FINAL
|
||||
└─────────────────────┴───────────┴──────────┴──────┴─────────┘
|
||||
```
|
||||
|
||||
这是一个非常低效的方式来选择数据。 不要把它用于大桌子。
|
||||
这是一个非常低效的方式来选择数据。 不要把它用于数据量大的表。
|
||||
|
||||
[原始文章](https://clickhouse.tech/docs/en/operations/table_engines/versionedcollapsingmergetree/) <!--hide-->
|
||||
|
||||
@ -7,6 +7,7 @@
|
||||
|
||||
- 关系数据库管理系统
|
||||
- [MySQL](https://www.mysql.com)
|
||||
- [mysql2ch](https://github.com/long2ice/mysql2ch)
|
||||
- [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
|
||||
- [clickhouse-mysql-data-reader](https://github.com/Altinity/clickhouse-mysql-data-reader)
|
||||
- [horgh-复制器](https://github.com/larsnovikov/horgh-replicator)
|
||||
|
||||
@ -35,7 +35,7 @@ toc_title: "\u91C7\u7528\u8005"
|
||||
| [Exness](https://www.exness.com) | 交易 | 指标，日志记录 | — | — | [俄语交谈，2019年5月](https://youtu.be/_rpU-TvSfZ8?t=3215) |
|
||||
| [精灵](https://geniee.co.jp) | 广告网络 | 主要产品 | — | — | [日文博客，2017年7月](https://tech.geniee.co.jp/entry/2017/07/20/160100) |
|
||||
| [虎牙](https://www.huya.com/) | 视频流 | 分析 | — | — | [中文幻灯片，2018年10月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/7.%20ClickHouse万亿数据分析实践%20李本旺(sundy-li)%20虎牙.pdf) |
|
||||
| [Idealista](https://www.idealista.com) | 房地产 | 分析 | — | — | [英文博客文章,四月2019](https://clickhouse.yandex/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| [Idealista](https://www.idealista.com) | 房地产 | 分析 | — | — | [英文博客文章,四月2019](https://clickhouse.tech/blog/en/clickhouse-meetup-in-madrid-on-april-2-2019) |
|
||||
| [Infovista](https://www.infovista.com/) | 网络 | 分析 | — | — | [英文幻灯片，十月2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup30/infovista.pdf) |
|
||||
| [InnoGames](https://www.innogames.com) | 游戏 | 指标，日志记录 | — | — | [俄文幻灯片，2019年9月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/graphite_and_clickHouse.pdf) |
|
||||
| [Integros](https://integros.com) | 视频服务平台 | 分析 | — | — | [俄文幻灯片，2019年5月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
|
||||
|
||||
@ -24,7 +24,7 @@ CREATE TABLE hits (url String, from IPv4) ENGINE = MergeTree() ORDER BY from;
|
||||
在写入与查询时，`IPv4`类型能够识别可读性更加友好的输入输出格式：
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.yandex/docs/en/', '116.106.34.242');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '116.253.40.133')('https://clickhouse.tech', '183.247.232.58')('https://clickhouse.tech/docs/en/', '116.106.34.242');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -24,7 +24,7 @@ CREATE TABLE hits (url String, from IPv6) ENGINE = MergeTree() ORDER BY from;
|
||||
在写入与查询时，`IPv6`类型能够识别可读性更加友好的输入输出格式：
|
||||
|
||||
``` sql
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.yandex/docs/en/', '2a02:e980:1e::1');
|
||||
INSERT INTO hits (url, from) VALUES ('https://wikipedia.org', '2a02:aa08:e000:3100::2')('https://clickhouse.tech', '2001:44c8:129:2632:33:0:252:2')('https://clickhouse.tech/docs/en/', '2a02:e980:1e::1');
|
||||
|
||||
SELECT * FROM hits;
|
||||
```
|
||||
|
||||
@ -1,15 +1,13 @@
|
||||
---
|
||||
machine_translated: true
|
||||
machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
|
||||
toc_folder_title: "SQL\u53C2\u8003"
|
||||
toc_folder_title: SQL参考
|
||||
toc_hidden: true
|
||||
toc_priority: 28
|
||||
toc_title: "\u9690\u85CF"
|
||||
toc_title: hidden
|
||||
---
|
||||
|
||||
# SQL参考 {#sql-reference}
|
||||
|
||||
ClickHouse支持以下类型的查询:
|
||||
ClickHouse支持以下形式的查询:
|
||||
|
||||
- [SELECT](statements/select/index.md)
|
||||
- [INSERT INTO](statements/insert-into.md)
|
||||
@ -17,4 +15,4 @@ ClickHouse支持以下类型的查询:
|
||||
- [ALTER](statements/alter.md#query_language_queries_alter)
|
||||
- [其他类型的查询](statements/misc.md)
|
||||
|
||||
[原始文章](https://clickhouse.tech/docs/en/sql-reference/) <!--hide-->
|
||||
[原始文档](https://clickhouse.tech/docs/zh/sql-reference/) <!--hide-->
|
||||
|
||||
@ -1,156 +1,162 @@
|
||||
---
|
||||
machine_translated: true
|
||||
machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
|
||||
toc_priority: 31
|
||||
toc_title: "\u8BED\u6CD5"
|
||||
toc_title: SQL语法
|
||||
---
|
||||
|
||||
# 语法 {#syntax}
|
||||
|
||||
系统中有两种类型的解析器：完整SQL解析器（递归下降解析器）和数据格式解析器（快速流解析器）。
|
||||
在所有情况下，除了 `INSERT` 查询时，只使用完整的SQL解析器。
|
||||
该 `INSERT` 查询使用两个解析器:
|
||||
# SQL语法 {#syntax}
|
||||
|
||||
CH有2类解析器：完整SQL解析器（递归式解析器），以及数据格式解析器（快速流式解析器）
|
||||
除了 `INSERT` 查询，其它情况下仅使用完整SQL解析器。
|
||||
`INSERT`查询会同时使用2种解析器：
|
||||
``` sql
|
||||
INSERT INTO t VALUES (1, 'Hello, world'), (2, 'abc'), (3, 'def')
|
||||
```
|
||||
|
||||
该 `INSERT INTO t VALUES` 片段由完整的解析器解析，并且数据 `(1, 'Hello, world'), (2, 'abc'), (3, 'def')` 由快速流解析器解析。 您也可以通过使用 [input\_format\_values\_interpret\_expressions](../operations/settings/settings.md#settings-input_format_values_interpret_expressions) 设置。 当 `input_format_values_interpret_expressions = 1`，ClickHouse首先尝试使用fast stream解析器解析值。 如果失败，ClickHouse将尝试对数据使用完整的解析器，将其视为SQL [表达式](#syntax-expressions).
|
||||
含`INSERT INTO t VALUES` 的部分由完整SQL解析器处理，包含数据的部分 `(1, 'Hello, world'), (2, 'abc'), (3, 'def')` 交给快速流式解析器解析。通过设置参数 [input\_format\_values\_interpret\_expressions](../operations/settings/settings.md#settings-input_format_values_interpret_expressions)，你也可以对数据部分开启完整SQL解析器。当 `input_format_values_interpret_expressions = 1` 时，CH优先采用快速流式解析器来解析数据。如果失败，CH再尝试用完整SQL解析器来处理，就像处理SQL [expression](#syntax-expressions) 一样。
|
||||
|
||||
数据可以有任何格式。 当接收到查询时，服务器计算不超过 [max\_query\_size](../operations/settings/settings.md#settings-max_query_size) RAM中请求的字节（默认为1MB），其余的是流解析。
|
||||
它允许避免与大的问题 `INSERT` 查询。
|
||||
数据可以采用任何格式。当CH接受到请求时，服务端先在内存中计算不超过 [max\_query\_size](../operations/settings/settings.md#settings-max_query_size) 字节的请求数据（默认1 mb），然后剩下部分交给快速流式解析器。
|
||||
|
||||
使用时 `Values` 格式为 `INSERT` 查询，它可能看起来数据被解析相同的表达式 `SELECT` 查询，但事实并非如此。 该 `Values` 格式更为有限。
|
||||
这将避免在处理大型的 `INSERT`语句时出现问题。
|
||||
|
||||
本文的其余部分将介绍完整的解析器。 有关格式解析器的详细信息，请参阅 [格式](../interfaces/formats.md) 科。
|
||||
当 `INSERT` 语句中使用 `Values` 形式时，看起来 数据部分的解析和解析`SELECT` 中的表达式相同，但并不是这样的。 `Values` 形式非常有限。
|
||||
该篇的剩余部分涵盖了完整SQL解析器。关于格式解析的更多信息，参见 [Formats](../interfaces/formats.md) 章节。
|
||||
|
||||
## 空间 {#spaces}
|
||||
## 空字符 {#spaces}
|
||||
|
||||
语法结构之间可能有任意数量的空格符号（包括查询的开始和结束）。 空格符号包括空格、制表符、换行符、CR和换页符。
|
||||
sql语句中（包含sql的起始和结束）可以有任意的空字符，这些空字符类型包括：空格字符，tab制表符，换行符，CR符，换页符等。
|
||||
|
||||
## 评论 {#comments}
|
||||
## 注释 {#comments}
|
||||
|
||||
ClickHouse支持SQL风格和C风格的注释。
|
||||
SQL风格的注释以下开头 `--` 并继续到线的末尾，一个空格后 `--` 可以省略。
|
||||
C型是从 `/*` 到 `*/`并且可以是多行，也不需要空格。
|
||||
CH支持SQL风格或C语言风格的注释：
|
||||
- SQL风格的注释以 `--` 开始，直到行末，`--` 后紧跟的空格可以忽略
|
||||
- C语言风格的注释以 `/*` 开始，以 `*/` 结束，支持多行形式，同样可以省略 `/*` 后的空格
|
||||
|
||||
## 关键词 {#syntax-keywords}
|
||||
## 关键字 {#syntax-keywords}
|
||||
|
||||
当关键字对应于以下关键字时，不区分大小写:
|
||||
以下场景的关键字是大小写不敏感的：
|
||||
- 标准SQL。例如，`SELECT`, `select` 和 `SeLeCt` 都是允许的
|
||||
- 在某些流行的RDBMS中被实现的关键字，例如，`DateTime` 和 `datetime`是一样的
|
||||
|
||||
- SQL标准。 例如, `SELECT`, `select` 和 `SeLeCt` 都是有效的。
|
||||
- 在一些流行的DBMS（MySQL或Postgres）中实现。 例如, `DateTime` 是一样的 `datetime`.
|
||||
|
||||
数据类型名称是否区分大小写可以在 `system.data_type_families` 桌子
|
||||
你可以在系统表 [system.data_type_families](../operations/system-tables.md#system_tables-data_type_families) 中检查某个数据类型的名称是否是大小写敏感型。
|
||||
|
||||
与标准SQL相比，所有其他关键字（包括函数名称）都是 **区分大小写**.
|
||||
和标准SQL相反，所有其它的关键字都是 **大小写敏感的**，包括函数名称。
|
||||
In contrast to standard SQL, all other keywords (including functions names) are **case-sensitive**.
|
||||
|
||||
不保留关键字；它们仅在相应的上下文中被视为保留关键字。 如果您使用 [标识符](#syntax-identifiers) 使用与关键字相同的名称，将它们括在双引号或反引号中。 例如，查询 `SELECT "FROM" FROM table_name` 是有效的，如果表 `table_name` 具有名称的列 `"FROM"`.
|
||||
关键字不是保留的；它们仅在相应的上下文中才会被处理。如果你使用和关键字同名的 [变量名](#syntax-identifiers) ，需要使用双引号或转移符将它们包含起来。例如：如果表 `table_name` 包含列 `"FROM"`，那么 `SELECT "FROM" FROM table_name` 是合法的
|
||||
|
||||
## 标识符 {#syntax-identifiers}
|
||||
## 变量名 {#syntax-identifiers}
|
||||
|
||||
标识符是:
|
||||
变量包括：
|
||||
Identifiers are:
|
||||
|
||||
- 集群、数据库、表、分区和列名称。
|
||||
- 功能。
|
||||
- 数据类型。
|
||||
- [表达式别名](#syntax-expression_aliases).
|
||||
- 集群，数据库，表，分区，列名称
|
||||
- 函数
|
||||
- 数据类型
|
||||
- 表达式别名
|
||||
|
||||
标识符可以是引号或非引号。 后者是优选的。
|
||||
变量名可以使用反引号包含起来
|
||||
|
||||
非引号标识符必须与正则表达式匹配 `^[a-zA-Z_][0-9a-zA-Z_]*$` 并且不能等于 [关键词](#syntax-keywords). 例: `x, _1, X_y__Z123_.`
|
||||
没有使用反引号包含的变量名，必须匹配正则表达式 `^[a-zA-Z_][0-9a-zA-Z_]*$`，并且不能和 [关键字]相同
|
||||
|
||||
如果要使用与关键字相同的标识符，或者要在标识符中使用其他符号，请使用双引号或反引号对其进行引用，例如, `"id"`, `` `id` ``.
|
||||
如果想使用和关键字同名的变量名称，或者在变量名称中包含其它符号，你需要通过双引号或转义符号，例如： `"id"`, `` `id` ``
|
||||
|
||||
## 文字数 {#literals}
|
||||
## 字符 {#literals}
|
||||
|
||||
有数字，字符串，复合和 `NULL` 文字。
|
||||
CH包含数字，字母，括号，NULL值等字符
|
||||
|
||||
### 数字 {#numeric}
|
||||
|
||||
数值文字尝试进行分析:
|
||||
数字类型字符会被做如下解析：
|
||||
- 首先，当做64位的有符号整数，使用该函数 [strtoull](https://en.cppreference.com/w/cpp/string/byte/strtoul)
|
||||
- 如果失败，解析成64位无符号整数，同样使用函数 [strtoull](https://en.cppreference.com/w/cpp/string/byte/strtoul)
|
||||
|
||||
- 首先，作为一个64位有符号的数字，使用 [strtoull](https://en.cppreference.com/w/cpp/string/byte/strtoul) 功能。
|
||||
- 如果不成功，作为64位无符号数，使用 [strtoll](https://en.cppreference.com/w/cpp/string/byte/strtol) 功能。
|
||||
- 如果不成功，作为一个浮点数使用 [strtod](https://en.cppreference.com/w/cpp/string/byte/strtof) 功能。
|
||||
- 否则，将返回错误。
|
||||
- 如果还失败了，试图解析成浮点型数值，使用函数 [strtod](https://en.cppreference.com/w/cpp/string/byte/strtof)
|
||||
Numeric literal tries to be parsed:
|
||||
|
||||
文本值具有该值适合的最小类型。
|
||||
例如，1被解析为 `UInt8`，但256被解析为 `UInt16`. 有关详细信息，请参阅 [数据类型](../sql-reference/data-types/index.md).
|
||||
- 最后，以上情形都不符合时，返回异常
|
||||
|
||||
例: `1`, `18446744073709551615`, `0xDEADBEEF`, `01`, `0.1`, `1e100`, `-1e-100`, `inf`, `nan`.
|
||||
|
||||
### 字符串 {#syntax-string-literal}
|
||||
数字类型的值类型为能容纳该值的最小数据类型。
|
||||
例如：1 解析成 `UInt8`型，256 则解析成 `UInt16`。更多信息，参见 [数据类型](../sql-reference/data-types/index.md)
|
||||
|
||||
仅支持单引号中的字符串文字。 封闭的字符可以反斜杠转义。 以下转义序列具有相应的特殊值: `\b`, `\f`, `\r`, `\n`, `\t`, `\0`, `\a`, `\v`, `\xHH`. 在所有其他情况下，转义序列的格式为 `\c`，哪里 `c` 是任何字符，被转换为 `c`. 这意味着你可以使用序列 `\'`和`\\`. 该值将具有 [字符串](../sql-reference/data-types/string.md) 类型。
|
||||
例如: `1`, `18446744073709551615`, `0xDEADBEEF`, `01`, `0.1`, `1e100`, `-1e-100`, `inf`, `nan`.
|
||||
|
||||
在字符串文字中，你至少需要转义 `'` 和 `\`. 单引号可以用单引号，文字转义 `'It\'s'` 和 `'It''s'` 是平等的。
|
||||
### 字母 {#syntax-string-literal}
|
||||
CH只支持用单引号包含的字母。特殊字符可通过反斜杠进行转义。下列转义字符都有相应的实际值： `\b`, `\f`, `\r`, `\n`, `\t`, `\0`, `\a`, `\v`, `\xHH`。其它情况下，以 `\c`形式出现的转义字符，当`c`表示任意字符时，转义字符会转换成`c`。这意味着你可以使用 `\'`和`\\`。该值将拥有[String](../sql-reference/data-types/string.md)类型。
|
||||
|
||||
### 化合物 {#compound}
|
||||
|
||||
数组使用方括号构造 `[1, 2, 3]`. Nuples用圆括号构造 `(1, 'Hello, world!', 2)`.
|
||||
从技术上讲，这些不是文字，而是分别具有数组创建运算符和元组创建运算符的表达式。
|
||||
数组必须至少包含一个项目，元组必须至少包含两个项目。
|
||||
有一个单独的情况下，当元组出现在 `IN` a条款 `SELECT` 查询。 查询结果可以包含元组，但元组不能保存到数据库（除了具有以下内容的表 [记忆](../engines/table-engines/special/memory.md) 发动机）。
|
||||
在字符串中，你至少需要对 `'` 和 `\` 进行转义。单引号可以使用单引号转义，例如 `'It\'s'` 和 `'It''s'` 是相同的。
|
||||
|
||||
### NULL {#null-literal}
|
||||
### 括号 {#compound}
|
||||
数组都是使用方括号进行构造 `[1, 2, 3]`，元组则使用圆括号 `(1, 'Hello, world!', 2)`
|
||||
|
||||
指示该值丢失。
|
||||
从技术上来讲，这些都不是字符串，而是包含创建数组和元组运算符的表达式。
|
||||
|
||||
为了存储 `NULL` 在表字段中，它必须是 [可为空](../sql-reference/data-types/nullable.md) 类型。
|
||||
创建一个数组必须至少包含一个元素，创建一个元组至少包含2个元素
|
||||
|
||||
根据数据格式（输入或输出), `NULL` 可能有不同的表示。 有关详细信息，请参阅以下文档 [数据格式](../interfaces/formats.md#formats).
|
||||
当元组出现在 `SELECT` 查询的 `IN` 部分时，是一种例外情形。查询结果可以包含元组，但是元组类型不能保存到数据库中（除非表采用 [内存表](../engines/table-engines/special/memory.md)引擎）
|
||||
|
||||
处理有许多细微差别 `NULL`. 例如，如果比较操作的至少一个参数是 `NULL`，此操作的结果也是 `NULL`. 对于乘法，加法和其他操作也是如此。 有关详细信息，请阅读每个操作的文档。
|
||||
|
||||
在查询中，您可以检查 `NULL` 使用 [IS NULL](operators/index.md#operator-is-null) 和 [IS NOT NULL](operators/index.md) 运算符及相关功能 `isNull` 和 `isNotNull`.
|
||||
### NULL值 {#null-literal}
|
||||
|
||||
## 功能 {#functions}
|
||||
代表不存在的值
|
||||
|
||||
函数调用像一个标识符一样写入，并在圆括号中包含一个参数列表（可能是空的）。 与标准SQL相比，括号是必需的，即使是空的参数列表。 示例: `now()`.
|
||||
有常规函数和聚合函数（请参阅部分 “Aggregate functions”). 某些聚合函数可以包含括号中的两个参数列表。 示例: `quantile (0.9) (x)`. 这些聚合函数被调用 “parametric” 函数，并在第一个列表中的参数被调用 “parameters”. 不带参数的聚合函数的语法与常规函数的语法相同。
|
||||
为了能在表字段中存储NULL值，该字段必须声明为 [空值](../sql-reference/data-types/nullable.md) 类型
|
||||
根据数据的格式（输入或输出），NULL值有不同的表现形式。更多信息参见文档 [数据格式](../interfaces/formats.md#formats)
|
||||
|
||||
## 运营商 {#operators}
|
||||
在处理 `NULL`时存在很多细微差别。例如，比较运算的至少一个参数为 `NULL` ，该结果也是 `NULL` 。与之类似的还有乘法运算, 加法运算,以及其它运算。更多信息，请参阅每种运算的文档部分。
|
||||
|
||||
在查询解析过程中，运算符会转换为相应的函数，同时考虑它们的优先级和关联性。
|
||||
例如，表达式 `1 + 2 * 3 + 4` 转化为 `plus(plus(1, multiply(2, 3)), 4)`.
|
||||
在语句中，可以通过 [是否为NULL](operators/index.md#operator-is-null) 以及 [是否不为NULL](operators/index.md) 运算符，以及 `isNull` 、 `isNotNull` 函数来检查 `NULL` 值
|
||||
|
||||
## 数据类型和数据库表引擎 {#data_types-and-database-table-engines}
|
||||
## 函数 {#functions}
|
||||
函数调用的写法，类似于变量并带有被圆括号包含的参数列表（可能为空）。与标准SQL不同，圆括号是必须的，不管参数列表是否为空。例如： `now()`。
|
||||
|
||||
数据类型和表引擎 `CREATE` 查询的编写方式与标识符或函数相同。 换句话说，它们可能包含也可能不包含括号中的参数列表。 有关详细信息，请参阅部分 “Data types,” “Table engines,” 和 “CREATE”.
|
||||
函数分为常规函数和聚合函数（参见“Aggregate functions”一章）。有些聚合函数包含2个参数列表，第一个参数列表中的参数被称为“parameters”。不包含“parameters”的聚合函数语法和常规函数是一样的。
|
||||
|
||||
|
||||
## 运算符 {#operators}
|
||||
|
||||
在查询解析阶段，运算符会被转换成对应的函数，使用时请注意它们的优先级。例如：
|
||||
表达式 `1 + 2 * 3 + 4` 会被解析成 `plus(plus(1, multiply(2, 3)), 4)`.
|
||||
|
||||
|
||||
## 数据类型及数据库/表引擎 {#data_types-and-database-table-engines}
|
||||
|
||||
`CREATE` 语句中的数据类型和表引擎写法与变量或函数类似。
|
||||
换句话说，它们可以用括号包含参数列表。更多信息，参见“数据类型,” “数据表引擎” 和 “CREATE语句”等章节
|
||||
|
||||
## 表达式别名 {#syntax-expression_aliases}
|
||||
|
||||
别名是查询中表达式的用户定义名称。
|
||||
别名是用户对表达式的自定义名称
|
||||
|
||||
``` sql
|
||||
expr AS alias
|
||||
```
|
||||
|
||||
- `AS` — The keyword for defining aliases. You can define the alias for a table name or a column name in a `SELECT` 子句不使用 `AS` 关键字。
|
||||
- `AS` — 用于定义别名的关键字。可以对表或select语句中的列定义别名(`AS` 可以省略）
|
||||
例如, `SELECT table_name_alias.column_name FROM table_name table_name_alias`.
|
||||
|
||||
For example, `SELECT table_name_alias.column_name FROM table_name table_name_alias`.
|
||||
在 [CAST函数](sql_reference/functions/type_conversion_functions.md#type_conversion_function-cast) 中，`AS`有其它含义。请参见该函数的说明部分。
|
||||
|
||||
In the [CAST](sql_reference/functions/type_conversion_functions.md#type_conversion_function-cast) function, the `AS` keyword has another meaning. See the description of the function.
|
||||
|
||||
- `expr` — Any expression supported by ClickHouse.
|
||||
- `expr` — 任意CH支持的表达式.
|
||||
|
||||
For example, `SELECT column_name * 2 AS double FROM some_table`.
|
||||
例如, `SELECT column_name * 2 AS double FROM some_table`.
|
||||
|
||||
- `alias` — Name for `expr`. 别名应符合 [标识符](#syntax-identifiers) 语法
|
||||
- `alias` — `expr` 的名称。别名必须符合 [变量名]](#syntax-identifiers) 语法.
|
||||
|
||||
For example, `SELECT "table t".column_name FROM table_name AS "table t"`.
|
||||
例如, `SELECT "table t".column_name FROM table_name AS "table t"`.
|
||||
|
||||
### 使用注意事项 {#notes-on-usage}
|
||||
### 用法注意 {#notes-on-usage}
|
||||
|
||||
别名对于查询或子查询是全局的，您可以在查询的任何部分中为任何表达式定义别名。 例如, `SELECT (1 AS n) + 2, n`.
|
||||
别名在当前查询或子查询中是全局可见的，你可以在查询语句的任何位置对表达式定义别名
|
||||
|
||||
别名在子查询和子查询之间不可见。 例如，在执行查询时 `SELECT (SELECT sum(b.a) + num FROM b) - a.a AS num FROM a` ClickHouse生成异常 `Unknown identifier: num`.
|
||||
别名在当前查询的子查询及不同子查询中是不可见的。例如，执行如下查询SQL: `SELECT (SELECT sum(b.a) + num FROM b) - a.a AS num FROM a` ,CH会提示异常 `Unknown identifier: num`.
|
||||
|
||||
如果为结果列定义了别名 `SELECT` 子查询的子句，这些列在外部查询中可见。 例如, `SELECT n + m FROM (SELECT 1 AS n, 2 AS m)`.
|
||||
|
||||
小心使用与列或表名相同的别名。 让我们考虑以下示例:
|
||||
如果给select子查询语句的结果列定义其别名，那么在外层可以使用该别名。例如, `SELECT n + m FROM (SELECT 1 AS n, 2 AS m)`.
|
||||
|
||||
注意列的别名和表的别名相同时的情形，考虑如下示例：
|
||||
``` sql
|
||||
CREATE TABLE t
|
||||
(
|
||||
@ -172,16 +178,18 @@ Received exception from server (version 18.14.17):
|
||||
Code: 184. DB::Exception: Received from localhost:9000, 127.0.0.1. DB::Exception: Aggregate function sum(b) is found inside another aggregate function in query.
|
||||
```
|
||||
|
||||
在这个例子中，我们声明表 `t` 带柱 `b`. 然后，在选择数据时，我们定义了 `sum(b) AS b` 别名 由于别名是全局的，ClickHouse替换了文字 `b` 在表达式中 `argMax(a, b)` 用表达式 `sum(b)`. 这种替换导致异常。
|
||||
在这个示例中，先声明了表 `t` 以及列 `b`。然后，在查询数据时，又定义了别名 `sum(b) AS b`。由于别名是全局的，CH使用表达式 `sum(b)` 来替换表达式 `argMax(a, b)` 中的变量 `b`。这种替换导致出现异常。
|
||||
|
||||
## 星号 {#asterisk}
|
||||
|
||||
在一个 `SELECT` 查询中，星号可以替换表达式。 有关详细信息，请参阅部分 “SELECT”.
|
||||
select查询中，星号可以代替表达式使用。详情请参见“select”部分
|
||||
|
||||
|
||||
## 表达式 {#syntax-expressions}
|
||||
|
||||
表达式是函数、标识符、文字、运算符的应用程序、括号中的表达式、子查询或星号。 它还可以包含别名。
|
||||
表达式列表是一个或多个用逗号分隔的表达式。
|
||||
函数和运算符，反过来，可以有表达式作为参数。
|
||||
|
||||
[原始文章](https://clickhouse.tech/docs/en/sql_reference/syntax/) <!--hide-->
|
||||
An expression is a function, identifier, literal, application of an operator, expression in brackets, subquery, or asterisk. It can also contain an alias.
|
||||
A list of expressions is one or more expressions separated by commas.
|
||||
Functions and operators, in turn, can have expressions as arguments.
|
||||
|
||||
[原始文档](https://clickhouse.tech/docs/en/sql_reference/syntax/) <!--hide-->
|
||||
|
||||
@ -26,7 +26,7 @@ toc_title: '2017'
|
||||
#### 新功能: {#new-features}
|
||||
|
||||
- MergeTree表引擎系列的自定义分区键。
|
||||
- [卡夫卡](https://clickhouse.yandex/docs/en/operations/table_engines/kafka/) 表引擎。
|
||||
- [卡夫卡](https://clickhouse.tech/docs/en/operations/table_engines/kafka/) 表引擎。
|
||||
- 增加了对加载的支持 [CatBoost](https://catboost.yandex/) 模型并将其应用到ClickHouse中存储的数据。
|
||||
- 增加了对UTC非整数偏移的时区的支持。
|
||||
- 增加了对具有时间间隔的算术运算的支持。
|
||||
|
||||
@ -18,6 +18,7 @@
|
||||
#include <Common/ConcurrentBoundedQueue.h>
|
||||
#include <Common/Exception.h>
|
||||
#include <Common/randomSeed.h>
|
||||
#include <Common/clearPasswordFromCommandLine.h>
|
||||
#include <Core/Types.h>
|
||||
#include <IO/ReadBufferFromFileDescriptor.h>
|
||||
#include <IO/WriteBufferFromFileDescriptor.h>
|
||||
@ -539,7 +540,7 @@ int mainEntryClickHouseBenchmark(int argc, char ** argv)
|
||||
("password", value<std::string>()->default_value(""), "")
|
||||
("database", value<std::string>()->default_value("default"), "")
|
||||
("stacktrace", "print stack traces of exceptions")
|
||||
("confidence", value<size_t>()->default_value(5), "set the level of confidence for T-test [0=80%, 1=90%, 2=95%, 3=98%, 4=99%, 5=99.5%(default)")
|
||||
("confidence", value<size_t>()->default_value(5), "set the level of confidence for T-test [0=80%, 1=90%, 2=95%, 3=98%, 4=99%, 5=99.5%(default)")
|
||||
("query_id", value<std::string>()->default_value(""), "")
|
||||
;
|
||||
|
||||
@ -550,6 +551,8 @@ int mainEntryClickHouseBenchmark(int argc, char ** argv)
|
||||
boost::program_options::store(boost::program_options::parse_command_line(argc, argv, desc), options);
|
||||
boost::program_options::notify(options);
|
||||
|
||||
clearPasswordFromCommandLine(argc, argv);
|
||||
|
||||
if (options.count("help"))
|
||||
{
|
||||
std::cout << "Usage: " << argv[0] << " [options] < queries.txt\n";
|
||||
|
||||
@ -38,6 +38,7 @@
|
||||
#include <Common/Throttler.h>
|
||||
#include <Common/StringUtils/StringUtils.h>
|
||||
#include <Common/typeid_cast.h>
|
||||
#include <Common/clearPasswordFromCommandLine.h>
|
||||
#include <Common/Config/ConfigProcessor.h>
|
||||
#include <Core/Types.h>
|
||||
#include <Core/QueryProcessingStage.h>
|
||||
@ -985,7 +986,10 @@ private:
|
||||
/// Process the query that doesn't require transferring data blocks to the server.
|
||||
void processOrdinaryQuery()
|
||||
{
|
||||
/// We will always rewrite query (even if there are no query_parameters) because it will help to find errors in query formatter.
|
||||
/// Rewrite query only when we have query parameters.
|
||||
/// Note that if query is rewritten, comments in query are lost.
|
||||
/// But the user often wants to see comments in server logs, query log, processlist, etc.
|
||||
if (!query_parameters.empty())
|
||||
{
|
||||
/// Replace ASTQueryParameter with ASTLiteral for prepared statements.
|
||||
ReplaceQueryParameterVisitor visitor(query_parameters);
|
||||
@ -2006,6 +2010,7 @@ public:
|
||||
|
||||
argsToConfig(common_arguments, config(), 100);
|
||||
|
||||
clearPasswordFromCommandLine(argc, argv);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
@ -1,5 +1,6 @@
|
||||
#include "Internals.h"
|
||||
#include <Storages/MergeTree/MergeTreeData.h>
|
||||
#include <Storages/extractKeyExpressionList.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
@ -184,9 +185,9 @@ Names extractPrimaryKeyColumnNames(const ASTPtr & storage_ast)
|
||||
const auto sorting_key_ast = extractOrderBy(storage_ast);
|
||||
const auto primary_key_ast = extractPrimaryKey(storage_ast);
|
||||
|
||||
const auto sorting_key_expr_list = MergeTreeData::extractKeyExpressionList(sorting_key_ast);
|
||||
const auto sorting_key_expr_list = extractKeyExpressionList(sorting_key_ast);
|
||||
const auto primary_key_expr_list = primary_key_ast
|
||||
? MergeTreeData::extractKeyExpressionList(primary_key_ast) : sorting_key_expr_list->clone();
|
||||
? extractKeyExpressionList(primary_key_ast) : sorting_key_expr_list->clone();
|
||||
|
||||
/// Maybe we have to handle VersionedCollapsing engine separately. But in our case in looks pointless.
|
||||
|
||||
|
||||
@ -869,7 +869,7 @@ int Server::main(const std::vector<std::string> & /*args*/)
|
||||
|
||||
if (listen_try)
|
||||
{
|
||||
LOG_ERROR(log, "{}. If it is an IPv6 or IPv4 address and your host has disabled IPv6 or IPv4, then consider to "
|
||||
LOG_WARNING(log, "{}. If it is an IPv6 or IPv4 address and your host has disabled IPv6 or IPv4, then consider to "
|
||||
"specify not disabled IPv4 or IPv6 address to listen in <listen_host> element of configuration "
|
||||
"file. Example for disabled IPv6: <listen_host>0.0.0.0</listen_host> ."
|
||||
" Example for disabled IPv4: <listen_host>::</listen_host>",
|
||||
@ -1013,7 +1013,8 @@ int Server::main(const std::vector<std::string> & /*args*/)
|
||||
}
|
||||
|
||||
if (servers.empty())
|
||||
throw Exception("No servers started (add valid listen_host and 'tcp_port' or 'http_port' to configuration file.)", ErrorCodes::NO_ELEMENTS_IN_CONFIG);
|
||||
throw Exception("No servers started (add valid listen_host and 'tcp_port' or 'http_port' to configuration file.)",
|
||||
ErrorCodes::NO_ELEMENTS_IN_CONFIG);
|
||||
|
||||
global_context->enableNamedSessions();
|
||||
|
||||
|
||||
@ -17,7 +17,7 @@ String RowPolicy::NameParts::getName() const
|
||||
name.reserve(database.length() + table_name.length() + short_name.length() + 6);
|
||||
name += backQuoteIfNeed(short_name);
|
||||
name += " ON ";
|
||||
if (!name.empty())
|
||||
if (!database.empty())
|
||||
{
|
||||
name += backQuoteIfNeed(database);
|
||||
name += '.';
|
||||
|
||||
@ -353,16 +353,17 @@ namespace
|
||||
for (const String & name : names)
|
||||
{
|
||||
SettingsProfileElement profile_element;
|
||||
profile_element.setting_index = Settings::findIndexStrict(name);
|
||||
size_t setting_index = Settings::findIndexStrict(name);
|
||||
profile_element.setting_index = setting_index;
|
||||
Poco::Util::AbstractConfiguration::Keys constraint_types;
|
||||
String path_to_name = path_to_constraints + "." + name;
|
||||
config.keys(path_to_name, constraint_types);
|
||||
for (const String & constraint_type : constraint_types)
|
||||
{
|
||||
if (constraint_type == "min")
|
||||
profile_element.min_value = config.getString(path_to_name + "." + constraint_type);
|
||||
profile_element.min_value = Settings::valueToCorrespondingType(setting_index, config.getString(path_to_name + "." + constraint_type));
|
||||
else if (constraint_type == "max")
|
||||
profile_element.max_value = config.getString(path_to_name + "." + constraint_type);
|
||||
profile_element.max_value = Settings::valueToCorrespondingType(setting_index, config.getString(path_to_name + "." + constraint_type));
|
||||
else if (constraint_type == "readonly")
|
||||
profile_element.readonly = true;
|
||||
else
|
||||
@ -402,8 +403,9 @@ namespace
|
||||
}
|
||||
|
||||
SettingsProfileElement profile_element;
|
||||
profile_element.setting_index = Settings::findIndexStrict(key);
|
||||
profile_element.value = config.getString(profile_config + "." + key);
|
||||
size_t setting_index = Settings::findIndexStrict(key);
|
||||
profile_element.setting_index = setting_index;
|
||||
profile_element.value = Settings::valueToCorrespondingType(setting_index, config.getString(profile_config + "." + key));
|
||||
profile->elements.emplace_back(std::move(profile_element));
|
||||
}
|
||||
|
||||
|
||||
@ -4,10 +4,10 @@
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
#include <boost/noncopyable.hpp>
|
||||
#if __has_include(<sanitizer/asan_interface.h>)
|
||||
#include <Core/Defines.h>
|
||||
#if __has_include(<sanitizer/asan_interface.h>) && defined(ADDRESS_SANITIZER)
|
||||
# include <sanitizer/asan_interface.h>
|
||||
#endif
|
||||
#include <Core/Defines.h>
|
||||
#include <Common/memcpySmall.h>
|
||||
#include <Common/ProfileEvents.h>
|
||||
#include <Common/Allocator.h>
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
#pragma once
|
||||
|
||||
#if __has_include(<sanitizer/asan_interface.h>)
|
||||
#include <Core/Defines.h>
|
||||
#if __has_include(<sanitizer/asan_interface.h>) && defined(ADDRESS_SANITIZER)
|
||||
# include <sanitizer/asan_interface.h>
|
||||
#endif
|
||||
#include <Core/Defines.h>
|
||||
#include <Common/Arena.h>
|
||||
#include <Common/BitHelpers.h>
|
||||
|
||||
|
||||
@ -1,7 +1,6 @@
|
||||
#pragma once
|
||||
|
||||
#include <Core/Field.h>
|
||||
#include <Core/AccurateComparison.h>
|
||||
#include <common/demangle.h>
|
||||
|
||||
|
||||
@ -14,7 +13,6 @@ namespace DB
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int CANNOT_CONVERT_TYPE;
|
||||
extern const int BAD_TYPE_OF_FIELD;
|
||||
extern const int LOGICAL_ERROR;
|
||||
}
|
||||
|
||||
@ -177,243 +175,6 @@ template <> constexpr bool isDecimalField<DecimalField<Decimal64>>() { return tr
|
||||
template <> constexpr bool isDecimalField<DecimalField<Decimal128>>() { return true; }
|
||||
|
||||
|
||||
/** More precise comparison, used for index.
|
||||
* Differs from Field::operator< and Field::operator== in that it also compares values of different types.
|
||||
* Comparison rules are same as in FunctionsComparison (to be consistent with expression evaluation in query).
|
||||
*/
|
||||
class FieldVisitorAccurateEquals : public StaticVisitor<bool>
|
||||
{
|
||||
public:
|
||||
bool operator() (const UInt64 &, const Null &) const { return false; }
|
||||
bool operator() (const UInt64 & l, const UInt64 & r) const { return l == r; }
|
||||
bool operator() (const UInt64 & l, const UInt128 & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const Int64 & r) const { return accurate::equalsOp(l, r); }
|
||||
bool operator() (const UInt64 & l, const Float64 & r) const { return accurate::equalsOp(l, r); }
|
||||
bool operator() (const UInt64 & l, const String & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const Array & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const Tuple & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const AggregateFunctionStateData & r) const { return cantCompare(l, r); }
|
||||
|
||||
bool operator() (const Int64 &, const Null &) const { return false; }
|
||||
bool operator() (const Int64 & l, const UInt64 & r) const { return accurate::equalsOp(l, r); }
|
||||
bool operator() (const Int64 & l, const UInt128 & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const Int64 & r) const { return l == r; }
|
||||
bool operator() (const Int64 & l, const Float64 & r) const { return accurate::equalsOp(l, r); }
|
||||
bool operator() (const Int64 & l, const String & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const Array & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const Tuple & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const AggregateFunctionStateData & r) const { return cantCompare(l, r); }
|
||||
|
||||
bool operator() (const Float64 &, const Null &) const { return false; }
|
||||
bool operator() (const Float64 & l, const UInt64 & r) const { return accurate::equalsOp(l, r); }
|
||||
bool operator() (const Float64 & l, const UInt128 & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const Int64 & r) const { return accurate::equalsOp(l, r); }
|
||||
bool operator() (const Float64 & l, const Float64 & r) const { return l == r; }
|
||||
bool operator() (const Float64 & l, const String & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const Array & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const Tuple & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const AggregateFunctionStateData & r) const { return cantCompare(l, r); }
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const Null &, const T &) const
|
||||
{
|
||||
return std::is_same_v<T, Null>;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const String & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, String>)
|
||||
return l == r;
|
||||
if constexpr (std::is_same_v<T, UInt128>)
|
||||
return stringToUUID(l) == r;
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const UInt128 & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, UInt128>)
|
||||
return l == r;
|
||||
if constexpr (std::is_same_v<T, String>)
|
||||
return l == stringToUUID(r);
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const Array & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, Array>)
|
||||
return l == r;
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const Tuple & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, Tuple>)
|
||||
return l == r;
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T, typename U>
|
||||
bool operator() (const DecimalField<T> & l, const U & r) const
|
||||
{
|
||||
if constexpr (isDecimalField<U>())
|
||||
return l == r;
|
||||
if constexpr (std::is_same_v<U, Int64> || std::is_same_v<U, UInt64>)
|
||||
return l == DecimalField<Decimal128>(r, 0);
|
||||
if constexpr (std::is_same_v<U, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T> bool operator() (const UInt64 & l, const DecimalField<T> & r) const { return DecimalField<Decimal128>(l, 0) == r; }
|
||||
template <typename T> bool operator() (const Int64 & l, const DecimalField<T> & r) const { return DecimalField<Decimal128>(l, 0) == r; }
|
||||
template <typename T> bool operator() (const Float64 & l, const DecimalField<T> & r) const { return cantCompare(l, r); }
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const AggregateFunctionStateData & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, AggregateFunctionStateData>)
|
||||
return l == r;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
private:
|
||||
template <typename T, typename U>
|
||||
bool cantCompare(const T &, const U &) const
|
||||
{
|
||||
if constexpr (std::is_same_v<U, Null>)
|
||||
return false;
|
||||
throw Exception("Cannot compare " + demangle(typeid(T).name()) + " with " + demangle(typeid(U).name()),
|
||||
ErrorCodes::BAD_TYPE_OF_FIELD);
|
||||
}
|
||||
};
|
||||
|
||||
class FieldVisitorAccurateLess : public StaticVisitor<bool>
|
||||
{
|
||||
public:
|
||||
bool operator() (const UInt64 &, const Null &) const { return false; }
|
||||
bool operator() (const UInt64 & l, const UInt64 & r) const { return l < r; }
|
||||
bool operator() (const UInt64 & l, const UInt128 & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const Int64 & r) const { return accurate::lessOp(l, r); }
|
||||
bool operator() (const UInt64 & l, const Float64 & r) const { return accurate::lessOp(l, r); }
|
||||
bool operator() (const UInt64 & l, const String & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const Array & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const Tuple & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const UInt64 & l, const AggregateFunctionStateData & r) const { return cantCompare(l, r); }
|
||||
|
||||
bool operator() (const Int64 &, const Null &) const { return false; }
|
||||
bool operator() (const Int64 & l, const UInt64 & r) const { return accurate::lessOp(l, r); }
|
||||
bool operator() (const Int64 & l, const UInt128 & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const Int64 & r) const { return l < r; }
|
||||
bool operator() (const Int64 & l, const Float64 & r) const { return accurate::lessOp(l, r); }
|
||||
bool operator() (const Int64 & l, const String & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const Array & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const Tuple & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Int64 & l, const AggregateFunctionStateData & r) const { return cantCompare(l, r); }
|
||||
|
||||
bool operator() (const Float64 &, const Null &) const { return false; }
|
||||
bool operator() (const Float64 & l, const UInt64 & r) const { return accurate::lessOp(l, r); }
|
||||
bool operator() (const Float64 & l, const UInt128 & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const Int64 & r) const { return accurate::lessOp(l, r); }
|
||||
bool operator() (const Float64 & l, const Float64 & r) const { return l < r; }
|
||||
bool operator() (const Float64 & l, const String & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const Array & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const Tuple & r) const { return cantCompare(l, r); }
|
||||
bool operator() (const Float64 & l, const AggregateFunctionStateData & r) const { return cantCompare(l, r); }
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const Null &, const T &) const
|
||||
{
|
||||
return !std::is_same_v<T, Null>;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const String & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, String>)
|
||||
return l < r;
|
||||
if constexpr (std::is_same_v<T, UInt128>)
|
||||
return stringToUUID(l) < r;
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const UInt128 & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, UInt128>)
|
||||
return l < r;
|
||||
if constexpr (std::is_same_v<T, String>)
|
||||
return l < stringToUUID(r);
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const Array & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, Array>)
|
||||
return l < r;
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const Tuple & l, const T & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, Tuple>)
|
||||
return l < r;
|
||||
if constexpr (std::is_same_v<T, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T, typename U>
|
||||
bool operator() (const DecimalField<T> & l, const U & r) const
|
||||
{
|
||||
if constexpr (isDecimalField<U>())
|
||||
return l < r;
|
||||
if constexpr (std::is_same_v<U, Int64> || std::is_same_v<U, UInt64>)
|
||||
return l < DecimalField<Decimal128>(r, 0);
|
||||
if constexpr (std::is_same_v<U, Null>)
|
||||
return false;
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
template <typename T> bool operator() (const UInt64 & l, const DecimalField<T> & r) const { return DecimalField<Decimal128>(l, 0) < r; }
|
||||
template <typename T> bool operator() (const Int64 & l, const DecimalField<T> & r) const { return DecimalField<Decimal128>(l, 0) < r; }
|
||||
template <typename T> bool operator() (const Float64 &, const DecimalField<T> &) const { return false; }
|
||||
|
||||
template <typename T>
|
||||
bool operator() (const AggregateFunctionStateData & l, const T & r) const
|
||||
{
|
||||
return cantCompare(l, r);
|
||||
}
|
||||
|
||||
private:
|
||||
template <typename T, typename U>
|
||||
bool cantCompare(const T &, const U &) const
|
||||
{
|
||||
throw Exception("Cannot compare " + demangle(typeid(T).name()) + " with " + demangle(typeid(U).name()),
|
||||
ErrorCodes::BAD_TYPE_OF_FIELD);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
/** Implements `+=` operation.
|
||||
* Returns false if the result is zero.
|
||||
*/
|
||||
|
||||
142
src/Common/FieldVisitorsAccurateComparison.h
Normal file
142
src/Common/FieldVisitorsAccurateComparison.h
Normal file
@ -0,0 +1,142 @@
|
||||
#pragma once
|
||||
|
||||
#include <Core/Field.h>
|
||||
#include <Core/AccurateComparison.h>
|
||||
#include <common/demangle.h>
|
||||
#include <Common/FieldVisitors.h>
|
||||
#include <IO/ReadBufferFromString.h>
|
||||
#include <IO/ReadHelpers.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int BAD_TYPE_OF_FIELD;
|
||||
}
|
||||
|
||||
/** More precise comparison, used for index.
|
||||
* Differs from Field::operator< and Field::operator== in that it also compares values of different types.
|
||||
* Comparison rules are same as in FunctionsComparison (to be consistent with expression evaluation in query).
|
||||
*/
|
||||
class FieldVisitorAccurateEquals : public StaticVisitor<bool>
|
||||
{
|
||||
public:
|
||||
template <typename T, typename U>
|
||||
bool operator() (const T & l, const U & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, Null> || std::is_same_v<U, Null>)
|
||||
return std::is_same_v<T, U>;
|
||||
else
|
||||
{
|
||||
if constexpr (std::is_same_v<T, U>)
|
||||
return l == r;
|
||||
|
||||
if constexpr (std::is_arithmetic_v<T> && std::is_arithmetic_v<U>)
|
||||
return accurate::equalsOp(l, r);
|
||||
|
||||
if constexpr (isDecimalField<T>() && isDecimalField<U>())
|
||||
return l == r;
|
||||
|
||||
if constexpr (isDecimalField<T>() && std::is_arithmetic_v<U>)
|
||||
return l == DecimalField<Decimal128>(r, 0);
|
||||
|
||||
if constexpr (std::is_arithmetic_v<T> && isDecimalField<U>())
|
||||
return DecimalField<Decimal128>(l, 0) == r;
|
||||
|
||||
if constexpr (std::is_same_v<T, String>)
|
||||
{
|
||||
if constexpr (std::is_same_v<U, UInt128>)
|
||||
return stringToUUID(l) == r;
|
||||
|
||||
if constexpr (std::is_arithmetic_v<U>)
|
||||
{
|
||||
ReadBufferFromString in(l);
|
||||
T parsed;
|
||||
readText(parsed, in);
|
||||
return operator()(parsed, r);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr (std::is_same_v<U, String>)
|
||||
{
|
||||
if constexpr (std::is_same_v<T, UInt128>)
|
||||
return l == stringToUUID(r);
|
||||
|
||||
if constexpr (std::is_arithmetic_v<T>)
|
||||
{
|
||||
ReadBufferFromString in(r);
|
||||
T parsed;
|
||||
readText(parsed, in);
|
||||
return operator()(l, parsed);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
throw Exception("Cannot compare " + demangle(typeid(T).name()) + " with " + demangle(typeid(U).name()),
|
||||
ErrorCodes::BAD_TYPE_OF_FIELD);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
class FieldVisitorAccurateLess : public StaticVisitor<bool>
|
||||
{
|
||||
public:
|
||||
template <typename T, typename U>
|
||||
bool operator() (const T & l, const U & r) const
|
||||
{
|
||||
if constexpr (std::is_same_v<T, Null> || std::is_same_v<U, Null>)
|
||||
return false;
|
||||
else
|
||||
{
|
||||
if constexpr (std::is_same_v<T, U>)
|
||||
return l < r;
|
||||
|
||||
if constexpr (std::is_arithmetic_v<T> && std::is_arithmetic_v<U>)
|
||||
return accurate::lessOp(l, r);
|
||||
|
||||
if constexpr (isDecimalField<T>() && isDecimalField<U>())
|
||||
return l < r;
|
||||
|
||||
if constexpr (isDecimalField<T>() && std::is_arithmetic_v<U>)
|
||||
return l < DecimalField<Decimal128>(r, 0);
|
||||
|
||||
if constexpr (std::is_arithmetic_v<T> && isDecimalField<U>())
|
||||
return DecimalField<Decimal128>(l, 0) < r;
|
||||
|
||||
if constexpr (std::is_same_v<T, String>)
|
||||
{
|
||||
if constexpr (std::is_same_v<U, UInt128>)
|
||||
return stringToUUID(l) < r;
|
||||
|
||||
if constexpr (std::is_arithmetic_v<U>)
|
||||
{
|
||||
ReadBufferFromString in(l);
|
||||
T parsed;
|
||||
readText(parsed, in);
|
||||
return operator()(parsed, r);
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr (std::is_same_v<U, String>)
|
||||
{
|
||||
if constexpr (std::is_same_v<T, UInt128>)
|
||||
return l < stringToUUID(r);
|
||||
|
||||
if constexpr (std::is_arithmetic_v<T>)
|
||||
{
|
||||
ReadBufferFromString in(r);
|
||||
T parsed;
|
||||
readText(parsed, in);
|
||||
return operator()(l, parsed);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
throw Exception("Cannot compare " + demangle(typeid(T).name()) + " with " + demangle(typeid(U).name()),
|
||||
ErrorCodes::BAD_TYPE_OF_FIELD);
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
@ -272,12 +272,12 @@ struct ODBCBridgeMixin
|
||||
return AccessType::ODBC;
|
||||
}
|
||||
|
||||
static std::unique_ptr<ShellCommand> startBridge(const Poco::Util::AbstractConfiguration & config, Poco::Logger * log, const Poco::Timespan & http_timeout)
|
||||
static std::unique_ptr<ShellCommand> startBridge(
|
||||
const Poco::Util::AbstractConfiguration & config, Poco::Logger * log, const Poco::Timespan & http_timeout)
|
||||
{
|
||||
/// Path to executable folder
|
||||
Poco::Path path{config.getString("application.dir", "/usr/bin")};
|
||||
|
||||
|
||||
std::vector<std::string> cmd_args;
|
||||
path.setFileName("clickhouse-odbc-bridge");
|
||||
|
||||
|
||||
@ -14,15 +14,27 @@ using namespace DB;
|
||||
|
||||
TEST(zkutil, ZookeeperConnected)
|
||||
{
|
||||
try
|
||||
/// In our CI infrastructure it is typical that ZooKeeper is unavailable for some amount of time.
|
||||
size_t i;
|
||||
for (i = 0; i < 100; ++i)
|
||||
{
|
||||
auto zookeeper = std::make_unique<zkutil::ZooKeeper>("localhost:2181");
|
||||
zookeeper->exists("/");
|
||||
zookeeper->createIfNotExists("/clickhouse_test", "Unit tests of ClickHouse");
|
||||
try
|
||||
{
|
||||
auto zookeeper = std::make_unique<zkutil::ZooKeeper>("localhost:2181");
|
||||
zookeeper->exists("/");
|
||||
zookeeper->createIfNotExists("/clickhouse_test", "Unit tests of ClickHouse");
|
||||
}
|
||||
catch (...)
|
||||
{
|
||||
std::cerr << "Zookeeper is unavailable, try " << i << std::endl;
|
||||
sleep(1);
|
||||
continue;
|
||||
}
|
||||
break;
|
||||
}
|
||||
catch (...)
|
||||
if (i == 100)
|
||||
{
|
||||
std::cerr << "No zookeeper. skip tests." << std::endl;
|
||||
std::cerr << "No zookeeper after " << i << " tries. skip tests." << std::endl;
|
||||
exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
18
src/Common/clearPasswordFromCommandLine.cpp
Normal file
18
src/Common/clearPasswordFromCommandLine.cpp
Normal file
@ -0,0 +1,18 @@
|
||||
#include <string.h>
|
||||
#include "clearPasswordFromCommandLine.h"
|
||||
|
||||
void clearPasswordFromCommandLine(int argc, char ** argv)
|
||||
{
|
||||
for (int arg = 1; arg < argc; ++arg)
|
||||
{
|
||||
if (arg + 1 < argc && 0 == strcmp(argv[arg], "--password"))
|
||||
{
|
||||
++arg;
|
||||
memset(argv[arg], 0, strlen(argv[arg]));
|
||||
}
|
||||
else if (0 == strncmp(argv[arg], "--password=", strlen("--password=")))
|
||||
{
|
||||
memset(argv[arg] + strlen("--password="), 0, strlen(argv[arg]) - strlen("--password="));
|
||||
}
|
||||
}
|
||||
}
|
||||
6
src/Common/clearPasswordFromCommandLine.h
Normal file
6
src/Common/clearPasswordFromCommandLine.h
Normal file
@ -0,0 +1,6 @@
|
||||
#pragma once
|
||||
|
||||
/** If there are --password=... or --password ... arguments in command line, replace their values with zero bytes.
|
||||
* This is needed to prevent password exposure in 'ps' and similar tools.
|
||||
*/
|
||||
void clearPasswordFromCommandLine(int argc, char ** argv);
|
||||
@ -30,6 +30,7 @@ SRCS(
|
||||
Config/configReadClient.cpp
|
||||
Config/ConfigReloader.cpp
|
||||
createHardLink.cpp
|
||||
clearPasswordFromCommandLine.cpp
|
||||
CurrentMetrics.cpp
|
||||
CurrentThread.cpp
|
||||
DNSResolver.cpp
|
||||
|
||||
@ -87,7 +87,7 @@
|
||||
#define DBMS_DISTRIBUTED_SIGNATURE_HEADER 0xCAFEDACEull
|
||||
#define DBMS_DISTRIBUTED_SIGNATURE_HEADER_OLD_FORMAT 0xCAFECABEull
|
||||
|
||||
#if !__has_include(<sanitizer/asan_interface.h>)
|
||||
#if !__has_include(<sanitizer/asan_interface.h>) || !defined(ADDRESS_SANITIZER)
|
||||
# define ASAN_UNPOISON_MEMORY_REGION(a, b)
|
||||
# define ASAN_POISON_MEMORY_REGION(a, b)
|
||||
#endif
|
||||
|
||||
@ -360,6 +360,7 @@ struct Settings : public SettingsCollection<Settings>
|
||||
M(SettingBool, optimize_trivial_count_query, true, "Process trivial 'SELECT count() FROM table' query from metadata.", 0) \
|
||||
M(SettingUInt64, mutations_sync, 0, "Wait for synchronous execution of ALTER TABLE UPDATE/DELETE queries (mutations). 0 - execute asynchronously. 1 - wait current server. 2 - wait all replicas if they exist.", 0) \
|
||||
M(SettingBool, optimize_arithmetic_operations_in_aggregate_functions, true, "Move arithmetic operations out of aggregation functions", 0) \
|
||||
M(SettingBool, optimize_duplicate_order_by_and_distinct, true, "Remove duplicate ORDER BY and DISTINCT if it's possible", 0) \
|
||||
M(SettingBool, optimize_if_chain_to_miltiif, false, "Replace if(cond1, then1, if(cond2, ...)) chains to multiIf. Currently it's not beneficial for numeric types.", 0) \
|
||||
M(SettingBool, allow_experimental_alter_materialized_view_structure, false, "Allow atomic alter on Materialized views. Work in progress.", 0) \
|
||||
M(SettingBool, enable_early_constant_folding, true, "Enable query optimization where we analyze function and subqueries results and rewrite query if there're constants there", 0) \
|
||||
@ -376,6 +377,7 @@ struct Settings : public SettingsCollection<Settings>
|
||||
M(SettingBool, materialize_ttl_after_modify, true, "Apply TTL for old data, after ALTER MODIFY TTL query", 0) \
|
||||
\
|
||||
M(SettingBool, allow_experimental_geo_types, false, "Allow geo data types such as Point, Ring, Polygon, MultiPolygon", 0) \
|
||||
M(SettingBool, data_type_default_nullable, false, "Data types without NULL or NOT NULL will make Nullable", 0) \
|
||||
\
|
||||
/** Obsolete settings that do nothing but left for compatibility reasons. Remove each one after half a year of obsolescence. */ \
|
||||
\
|
||||
@ -407,6 +409,7 @@ struct Settings : public SettingsCollection<Settings>
|
||||
\
|
||||
M(SettingDateTimeInputFormat, date_time_input_format, FormatSettings::DateTimeInputFormat::Basic, "Method to read DateTime from text input formats. Possible values: 'basic' and 'best_effort'.", 0) \
|
||||
\
|
||||
M(SettingBool, optimize_group_by_function_keys, true, "Eliminates functions of other keys in GROUP BY section", 0) \
|
||||
M(SettingBool, input_format_values_interpret_expressions, true, "For Values format: if the field could not be parsed by streaming parser, run SQL parser and try to interpret it as SQL expression.", 0) \
|
||||
M(SettingBool, input_format_values_deduce_templates_of_expressions, true, "For Values format: if the field could not be parsed by streaming parser, run SQL parser, deduce template of the SQL expression, try to parse all rows using template and then interpret expression for all rows.", 0) \
|
||||
M(SettingBool, input_format_values_accurate_types_of_literals, true, "For Values format: when parsing and interpreting expressions using template, check actual type of literal to avoid possible overflow and precision issues.", 0) \
|
||||
|
||||
@ -72,7 +72,7 @@ PushingToViewsBlockOutputStream::PushingToViewsBlockOutputStream(
|
||||
|
||||
StoragePtr inner_table = materialized_view->getTargetTable();
|
||||
auto inner_table_id = inner_table->getStorageID();
|
||||
query = materialized_view->getInnerQuery();
|
||||
query = materialized_view->getSelectQuery().inner_query;
|
||||
|
||||
std::unique_ptr<ASTInsertQuery> insert = std::make_unique<ASTInsertQuery>();
|
||||
insert->table_id = inner_table_id;
|
||||
|
||||
@ -70,21 +70,22 @@ TTLBlockInputStream::TTLBlockInputStream(
|
||||
defaults_expression = ExpressionAnalyzer{default_expr_list, syntax_result, storage.global_context}.getActions(true);
|
||||
}
|
||||
|
||||
if (storage.hasRowsTTL() && storage.getRowsTTL().mode == TTLMode::GROUP_BY)
|
||||
auto storage_rows_ttl = storage.getRowsTTL();
|
||||
if (storage.hasRowsTTL() && storage_rows_ttl.mode == TTLMode::GROUP_BY)
|
||||
{
|
||||
current_key_value.resize(storage.getRowsTTL().group_by_keys.size());
|
||||
current_key_value.resize(storage_rows_ttl.group_by_keys.size());
|
||||
|
||||
ColumnNumbers keys;
|
||||
for (const auto & key : storage.getRowsTTL().group_by_keys)
|
||||
for (const auto & key : storage_rows_ttl.group_by_keys)
|
||||
keys.push_back(header.getPositionByName(key));
|
||||
agg_key_columns.resize(storage.getRowsTTL().group_by_keys.size());
|
||||
agg_key_columns.resize(storage_rows_ttl.group_by_keys.size());
|
||||
|
||||
AggregateDescriptions aggregates = storage.getRowsTTL().aggregate_descriptions;
|
||||
AggregateDescriptions aggregates = storage_rows_ttl.aggregate_descriptions;
|
||||
for (auto & descr : aggregates)
|
||||
if (descr.arguments.empty())
|
||||
for (const auto & name : descr.argument_names)
|
||||
descr.arguments.push_back(header.getPositionByName(name));
|
||||
agg_aggregate_columns.resize(storage.getRowsTTL().aggregate_descriptions.size());
|
||||
agg_aggregate_columns.resize(storage_rows_ttl.aggregate_descriptions.size());
|
||||
|
||||
const Settings & settings = storage.global_context.getSettingsRef();
|
||||
|
||||
@ -105,8 +106,9 @@ bool TTLBlockInputStream::isTTLExpired(time_t ttl) const
|
||||
Block TTLBlockInputStream::readImpl()
|
||||
{
|
||||
/// Skip all data if table ttl is expired for part
|
||||
if (storage.hasRowsTTL() && !storage.getRowsTTL().where_expression &&
|
||||
storage.getRowsTTL().mode != TTLMode::GROUP_BY && isTTLExpired(old_ttl_infos.table_ttl.max))
|
||||
auto storage_rows_ttl = storage.getRowsTTL();
|
||||
if (storage.hasRowsTTL() && !storage_rows_ttl.where_expression &&
|
||||
storage_rows_ttl.mode != TTLMode::GROUP_BY && isTTLExpired(old_ttl_infos.table_ttl.max))
|
||||
{
|
||||
rows_removed = data_part->rows_count;
|
||||
return {};
|
||||
@ -151,7 +153,7 @@ void TTLBlockInputStream::readSuffixImpl()
|
||||
|
||||
void TTLBlockInputStream::removeRowsWithExpiredTableTTL(Block & block)
|
||||
{
|
||||
const auto & rows_ttl = storage.getRowsTTL();
|
||||
auto rows_ttl = storage.getRowsTTL();
|
||||
|
||||
rows_ttl.expression->execute(block);
|
||||
if (rows_ttl.where_expression)
|
||||
@ -160,8 +162,8 @@ void TTLBlockInputStream::removeRowsWithExpiredTableTTL(Block & block)
|
||||
const IColumn * ttl_column =
|
||||
block.getByName(rows_ttl.result_column).column.get();
|
||||
|
||||
const IColumn * where_result_column = storage.getRowsTTL().where_expression ?
|
||||
block.getByName(storage.getRowsTTL().where_result_column).column.get() : nullptr;
|
||||
const IColumn * where_result_column = rows_ttl.where_expression ?
|
||||
block.getByName(rows_ttl.where_result_column).column.get() : nullptr;
|
||||
|
||||
const auto & column_names = header.getNames();
|
||||
|
||||
@ -199,6 +201,7 @@ void TTLBlockInputStream::removeRowsWithExpiredTableTTL(Block & block)
|
||||
size_t rows_aggregated = 0;
|
||||
size_t current_key_start = 0;
|
||||
size_t rows_with_current_key = 0;
|
||||
auto storage_rows_ttl = storage.getRowsTTL();
|
||||
for (size_t i = 0; i < block.rows(); ++i)
|
||||
{
|
||||
UInt32 cur_ttl = getTimestampByIndex(ttl_column, i);
|
||||
@ -206,9 +209,9 @@ void TTLBlockInputStream::removeRowsWithExpiredTableTTL(Block & block)
|
||||
bool ttl_expired = isTTLExpired(cur_ttl) && where_filter_passed;
|
||||
|
||||
bool same_as_current = true;
|
||||
for (size_t j = 0; j < storage.getRowsTTL().group_by_keys.size(); ++j)
|
||||
for (size_t j = 0; j < storage_rows_ttl.group_by_keys.size(); ++j)
|
||||
{
|
||||
const String & key_column = storage.getRowsTTL().group_by_keys[j];
|
||||
const String & key_column = storage_rows_ttl.group_by_keys[j];
|
||||
const IColumn * values_column = block.getByName(key_column).column.get();
|
||||
if (!same_as_current || (*values_column)[i] != current_key_value[j])
|
||||
{
|
||||
@ -275,17 +278,18 @@ void TTLBlockInputStream::finalizeAggregates(MutableColumns & result_columns)
|
||||
if (!agg_result.empty())
|
||||
{
|
||||
auto aggregated_res = aggregator->convertToBlocks(agg_result, true, 1);
|
||||
auto storage_rows_ttl = storage.getRowsTTL();
|
||||
for (auto & agg_block : aggregated_res)
|
||||
{
|
||||
for (const auto & it : storage.getRowsTTL().set_parts)
|
||||
for (const auto & it : storage_rows_ttl.set_parts)
|
||||
it.expression->execute(agg_block);
|
||||
for (const auto & name : storage.getRowsTTL().group_by_keys)
|
||||
for (const auto & name : storage_rows_ttl.group_by_keys)
|
||||
{
|
||||
const IColumn * values_column = agg_block.getByName(name).column.get();
|
||||
auto & result_column = result_columns[header.getPositionByName(name)];
|
||||
result_column->insertRangeFrom(*values_column, 0, agg_block.rows());
|
||||
}
|
||||
for (const auto & it : storage.getRowsTTL().set_parts)
|
||||
for (const auto & it : storage_rows_ttl.set_parts)
|
||||
{
|
||||
const IColumn * values_column = agg_block.getByName(it.expression_result_column_name).column.get();
|
||||
auto & result_column = result_columns[header.getPositionByName(it.column_name)];
|
||||
|
||||
@ -30,7 +30,7 @@ namespace ErrorCodes
|
||||
extern const int LOGICAL_ERROR;
|
||||
}
|
||||
|
||||
static const std::vector<String> supported_functions{"any", "anyLast", "min", "max", "sum", "groupBitAnd", "groupBitOr", "groupBitXor", "sumMap"};
|
||||
static const std::vector<String> supported_functions{"any", "anyLast", "min", "max", "sum", "groupBitAnd", "groupBitOr", "groupBitXor", "sumMap", "groupArrayArray", "groupUniqArrayArray"};
|
||||
|
||||
|
||||
String DataTypeCustomSimpleAggregateFunction::getName() const
|
||||
|
||||
@ -45,6 +45,8 @@ public:
|
||||
void deserializeProtobuf(IColumn & column, ProtobufReader & protobuf, bool allow_add_row, bool & row_added) const override;
|
||||
|
||||
bool equals(const IDataType & rhs) const override;
|
||||
|
||||
bool canBePromoted() const override { return false; }
|
||||
};
|
||||
|
||||
/** Tansform-type wrapper for DateTime64, applies given Transform to DateTime64 value or only to a whole part of it.
|
||||
|
||||
@ -9,6 +9,7 @@
|
||||
#include <Parsers/ASTNameTypePair.h>
|
||||
#include <Common/typeid_cast.h>
|
||||
#include <Common/assert_cast.h>
|
||||
#include <Common/quoteString.h>
|
||||
#include <IO/WriteHelpers.h>
|
||||
#include <IO/ReadHelpers.h>
|
||||
#include <IO/WriteBufferFromString.h>
|
||||
|
||||
@ -16,13 +16,18 @@ void DataTypeUUID::serializeText(const IColumn & column, size_t row_num, WriteBu
|
||||
writeText(UUID(assert_cast<const ColumnUInt128 &>(column).getData()[row_num]), ostr);
|
||||
}
|
||||
|
||||
void DataTypeUUID::deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings &) const
|
||||
void DataTypeUUID::deserializeText(IColumn & column, ReadBuffer & istr, const FormatSettings &) const
|
||||
{
|
||||
UUID x;
|
||||
readText(x, istr);
|
||||
assert_cast<ColumnUInt128 &>(column).getData().push_back(x);
|
||||
}
|
||||
|
||||
void DataTypeUUID::deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings & settings) const
|
||||
{
|
||||
deserializeText(column, istr, settings);
|
||||
}
|
||||
|
||||
void DataTypeUUID::serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings & settings) const
|
||||
{
|
||||
serializeText(column, row_num, ostr, settings);
|
||||
|
||||
@ -17,6 +17,7 @@ public:
|
||||
bool equals(const IDataType & rhs) const override;
|
||||
|
||||
void serializeText(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings &) const override;
|
||||
void deserializeText(IColumn & column, ReadBuffer & istr, const FormatSettings &) const override;
|
||||
void serializeTextEscaped(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings &) const override;
|
||||
void deserializeTextEscaped(IColumn & column, ReadBuffer & istr, const FormatSettings &) const override;
|
||||
void serializeTextQuoted(const IColumn & column, size_t row_num, WriteBuffer & ostr, const FormatSettings &) const override;
|
||||
@ -30,6 +31,8 @@ public:
|
||||
|
||||
bool canBeUsedInBitOperations() const override { return true; }
|
||||
bool canBeInsideNullable() const override { return true; }
|
||||
|
||||
bool canBePromoted() const override { return false; }
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
@ -253,9 +253,9 @@ void DatabaseOrdinary::alterTable(
|
||||
ast_create_query.columns_list->setOrReplace(ast_create_query.columns_list->indices, new_indices);
|
||||
ast_create_query.columns_list->setOrReplace(ast_create_query.columns_list->constraints, new_constraints);
|
||||
|
||||
if (metadata.select)
|
||||
if (metadata.select.select_query)
|
||||
{
|
||||
ast->replace(ast_create_query.select, metadata.select);
|
||||
ast->replace(ast_create_query.select, metadata.select.select_query);
|
||||
}
|
||||
|
||||
/// MaterializedView is one type of CREATE query without storage.
|
||||
@ -263,17 +263,17 @@ void DatabaseOrdinary::alterTable(
|
||||
{
|
||||
ASTStorage & storage_ast = *ast_create_query.storage;
|
||||
/// ORDER BY may change, but cannot appear, it's required construction
|
||||
if (metadata.order_by_ast && storage_ast.order_by)
|
||||
storage_ast.set(storage_ast.order_by, metadata.order_by_ast);
|
||||
if (metadata.sorting_key.definition_ast && storage_ast.order_by)
|
||||
storage_ast.set(storage_ast.order_by, metadata.sorting_key.definition_ast);
|
||||
|
||||
if (metadata.primary_key_ast)
|
||||
storage_ast.set(storage_ast.primary_key, metadata.primary_key_ast);
|
||||
if (metadata.primary_key.definition_ast)
|
||||
storage_ast.set(storage_ast.primary_key, metadata.primary_key.definition_ast);
|
||||
|
||||
if (metadata.ttl_for_table_ast)
|
||||
storage_ast.set(storage_ast.ttl_table, metadata.ttl_for_table_ast);
|
||||
if (metadata.table_ttl.definition_ast)
|
||||
storage_ast.set(storage_ast.ttl_table, metadata.table_ttl.definition_ast);
|
||||
|
||||
if (metadata.settings_ast)
|
||||
storage_ast.set(storage_ast.settings, metadata.settings_ast);
|
||||
if (metadata.settings_changes)
|
||||
storage_ast.set(storage_ast.settings, metadata.settings_changes);
|
||||
}
|
||||
|
||||
statement = getObjectDefinitionFromCreateQuery(ast);
|
||||
|
||||
@ -22,6 +22,7 @@
|
||||
#include <DataTypes/DataTypeEnum.h>
|
||||
#include <DataTypes/getLeastSupertype.h>
|
||||
|
||||
#include <Interpreters/convertFieldToType.h>
|
||||
#include <Interpreters/castColumn.h>
|
||||
|
||||
#include <Functions/IFunctionAdaptors.h>
|
||||
@ -51,7 +52,6 @@ namespace DB
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int TOO_LARGE_STRING_SIZE;
|
||||
extern const int ILLEGAL_COLUMN;
|
||||
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
|
||||
extern const int LOGICAL_ERROR;
|
||||
@ -812,94 +812,51 @@ private:
|
||||
}
|
||||
}
|
||||
|
||||
bool executeDateOrDateTimeOrEnumOrUUIDWithConstString(
|
||||
bool executeWithConstString(
|
||||
Block & block, size_t result, const IColumn * col_left_untyped, const IColumn * col_right_untyped,
|
||||
const DataTypePtr & left_type, const DataTypePtr & right_type, bool left_is_num, size_t input_rows_count)
|
||||
const DataTypePtr & left_type, const DataTypePtr & right_type, size_t input_rows_count)
|
||||
{
|
||||
/// This is no longer very special case - comparing dates, datetimes, and enumerations with a string constant.
|
||||
const IColumn * column_string_untyped = !left_is_num ? col_left_untyped : col_right_untyped;
|
||||
const IColumn * column_number = left_is_num ? col_left_untyped : col_right_untyped;
|
||||
const IDataType * number_type = left_is_num ? left_type.get() : right_type.get();
|
||||
/// To compare something with const string, we cast constant to appropriate type and compare as usual.
|
||||
/// It is ok to throw exception if value is not convertible.
|
||||
/// We should deal with possible overflows, e.g. toUInt8(1) = '257' should return false.
|
||||
|
||||
WhichDataType which(number_type);
|
||||
const ColumnConst * left_const = checkAndGetColumnConstStringOrFixedString(col_left_untyped);
|
||||
const ColumnConst * right_const = checkAndGetColumnConstStringOrFixedString(col_right_untyped);
|
||||
|
||||
const bool legal_types = which.isDateOrDateTime() || which.isEnum() || which.isUUID();
|
||||
|
||||
const auto column_string = checkAndGetColumnConst<ColumnString>(column_string_untyped);
|
||||
if (!column_string || !legal_types)
|
||||
if (!left_const && !right_const)
|
||||
return false;
|
||||
|
||||
StringRef string_value = column_string->getDataAt(0);
|
||||
const IDataType * type_string = left_const ? left_type.get() : right_type.get();
|
||||
const DataTypePtr & type_to_compare = !left_const ? left_type : right_type;
|
||||
|
||||
if (which.isDate())
|
||||
Field string_value = left_const ? left_const->getField() : right_const->getField();
|
||||
Field converted = convertFieldToType(string_value, *type_to_compare, type_string);
|
||||
|
||||
/// If not possible to convert, comparison with =, <, >, <=, >= yields to false and comparison with != yields to true.
|
||||
if (converted.isNull())
|
||||
{
|
||||
DayNum date;
|
||||
ReadBufferFromMemory in(string_value.data, string_value.size);
|
||||
readDateText(date, in);
|
||||
if (!in.eof())
|
||||
throw Exception("String is too long for Date: " + string_value.toString(), ErrorCodes::TOO_LARGE_STRING_SIZE);
|
||||
|
||||
ColumnPtr parsed_const_date_holder = DataTypeDate().createColumnConst(input_rows_count, date);
|
||||
const ColumnConst * parsed_const_date = assert_cast<const ColumnConst *>(parsed_const_date_holder.get());
|
||||
executeNumLeftType<DataTypeDate::FieldType>(block, result,
|
||||
left_is_num ? col_left_untyped : parsed_const_date,
|
||||
left_is_num ? parsed_const_date : col_right_untyped);
|
||||
block.getByPosition(result).column = DataTypeUInt8().createColumnConst(input_rows_count,
|
||||
std::is_same_v<Op<int, int>, NotEqualsOp<int, int>>);
|
||||
}
|
||||
else if (which.isDateTime())
|
||||
else
|
||||
{
|
||||
time_t date_time;
|
||||
ReadBufferFromMemory in(string_value.data, string_value.size);
|
||||
readDateTimeText(date_time, in, dynamic_cast<const DataTypeDateTime &>(*number_type).getTimeZone());
|
||||
if (!in.eof())
|
||||
throw Exception("String is too long for DateTime: " + string_value.toString(), ErrorCodes::TOO_LARGE_STRING_SIZE);
|
||||
auto column_converted = type_to_compare->createColumnConst(input_rows_count, converted);
|
||||
|
||||
ColumnPtr parsed_const_date_time_holder = DataTypeDateTime().createColumnConst(input_rows_count, UInt64(date_time));
|
||||
const ColumnConst * parsed_const_date_time = assert_cast<const ColumnConst *>(parsed_const_date_time_holder.get());
|
||||
executeNumLeftType<DataTypeDateTime::FieldType>(block, result,
|
||||
left_is_num ? col_left_untyped : parsed_const_date_time,
|
||||
left_is_num ? parsed_const_date_time : col_right_untyped);
|
||||
Block tmp_block
|
||||
{
|
||||
{ left_const ? column_converted : col_left_untyped->getPtr(), type_to_compare, "" },
|
||||
{ !left_const ? column_converted : col_right_untyped->getPtr(), type_to_compare, "" },
|
||||
block.getByPosition(result)
|
||||
};
|
||||
|
||||
executeImpl(tmp_block, {0, 1}, 2, input_rows_count);
|
||||
|
||||
block.getByPosition(result).column = std::move(tmp_block.getByPosition(2).column);
|
||||
}
|
||||
else if (which.isUUID())
|
||||
{
|
||||
UUID uuid;
|
||||
ReadBufferFromMemory in(string_value.data, string_value.size);
|
||||
readText(uuid, in);
|
||||
if (!in.eof())
|
||||
throw Exception("String is too long for UUID: " + string_value.toString(), ErrorCodes::TOO_LARGE_STRING_SIZE);
|
||||
|
||||
ColumnPtr parsed_const_uuid_holder = DataTypeUUID().createColumnConst(input_rows_count, uuid);
|
||||
const ColumnConst * parsed_const_uuid = assert_cast<const ColumnConst *>(parsed_const_uuid_holder.get());
|
||||
executeNumLeftType<DataTypeUUID::FieldType>(block, result,
|
||||
left_is_num ? col_left_untyped : parsed_const_uuid,
|
||||
left_is_num ? parsed_const_uuid : col_right_untyped);
|
||||
}
|
||||
|
||||
else if (which.isEnum8())
|
||||
executeEnumWithConstString<DataTypeEnum8>(block, result, column_number, column_string,
|
||||
number_type, left_is_num, input_rows_count);
|
||||
else if (which.isEnum16())
|
||||
executeEnumWithConstString<DataTypeEnum16>(block, result, column_number, column_string,
|
||||
number_type, left_is_num, input_rows_count);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/// Comparison between DataTypeEnum<T> and string constant containing the name of an enum element
|
||||
template <typename EnumType>
|
||||
void executeEnumWithConstString(
|
||||
Block & block, const size_t result, const IColumn * column_number, const ColumnConst * column_string,
|
||||
const IDataType * type_untyped, const bool left_is_num, size_t input_rows_count)
|
||||
{
|
||||
const auto type = static_cast<const EnumType *>(type_untyped);
|
||||
|
||||
const Field x = castToNearestFieldType(type->getValue(column_string->getValue<String>()));
|
||||
const auto enum_col = type->createColumnConst(input_rows_count, x);
|
||||
|
||||
executeNumLeftType<typename EnumType::FieldType>(block, result,
|
||||
left_is_num ? column_number : enum_col.get(),
|
||||
left_is_num ? enum_col.get() : column_number);
|
||||
}
|
||||
|
||||
void executeTuple(Block & block, size_t result, const ColumnWithTypeAndName & c0, const ColumnWithTypeAndName & c1,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
@ -1124,17 +1081,11 @@ public:
|
||||
bool has_date = left.isDate() || right.isDate();
|
||||
|
||||
if (!((both_represented_by_number && !has_date) /// Do not allow compare date and number.
|
||||
|| (left.isStringOrFixedString() && right.isStringOrFixedString())
|
||||
|| (left.isStringOrFixedString() || right.isStringOrFixedString()) /// Everything can be compared with string by conversion.
|
||||
/// You can compare the date, datetime, or datatime64 and an enumeration with a constant string.
|
||||
|| (left.isString() && right.isDateOrDateTime())
|
||||
|| (left.isDateOrDateTime() && right.isString())
|
||||
|| (left.isDateOrDateTime() && right.isDateOrDateTime() && left.idx == right.idx) /// only date vs date, or datetime vs datetime
|
||||
|| (left.isUUID() && right.isUUID())
|
||||
|| (left.isUUID() && right.isString())
|
||||
|| (left.isString() && right.isUUID())
|
||||
|| (left.isEnum() && right.isEnum() && arguments[0]->getName() == arguments[1]->getName()) /// only equivalent enum type values can be compared against
|
||||
|| (left.isEnum() && right.isString())
|
||||
|| (left.isString() && right.isEnum())
|
||||
|| (left_tuple && right_tuple && left_tuple->getElements().size() == right_tuple->getElements().size())
|
||||
|| (arguments[0]->equals(*arguments[1]))))
|
||||
{
|
||||
@ -1151,7 +1102,8 @@ public:
|
||||
|
||||
if (left_tuple && right_tuple)
|
||||
{
|
||||
auto adaptor = FunctionOverloadResolverAdaptor(std::make_unique<DefaultOverloadResolver>(FunctionComparison<Op, Name>::create(context)));
|
||||
auto adaptor = FunctionOverloadResolverAdaptor(std::make_unique<DefaultOverloadResolver>(
|
||||
FunctionComparison<Op, Name>::create(context)));
|
||||
|
||||
size_t size = left_tuple->getElements().size();
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
@ -1201,6 +1153,9 @@ public:
|
||||
const bool left_is_num = col_left_untyped->isNumeric();
|
||||
const bool right_is_num = col_right_untyped->isNumeric();
|
||||
|
||||
const bool left_is_string = isStringOrFixedString(which_left);
|
||||
const bool right_is_string = isStringOrFixedString(which_right);
|
||||
|
||||
bool date_and_datetime = (left_type != right_type) &&
|
||||
which_left.isDateOrDateTime() && which_right.isDateOrDateTime();
|
||||
|
||||
@ -1226,64 +1181,14 @@ public:
|
||||
{
|
||||
executeTuple(block, result, col_with_type_and_name_left, col_with_type_and_name_right, input_rows_count);
|
||||
}
|
||||
else if (which_left.idx != which_right.idx
|
||||
&& (which_left.isDateTime64() || which_right.isDateTime64())
|
||||
&& (which_left.isStringOrFixedString() || which_right.isStringOrFixedString()))
|
||||
else if (left_is_string && right_is_string && executeString(block, result, col_left_untyped, col_right_untyped))
|
||||
{
|
||||
}
|
||||
else if (executeWithConstString(
|
||||
block, result, col_left_untyped, col_right_untyped,
|
||||
left_type, right_type,
|
||||
input_rows_count))
|
||||
{
|
||||
/** Special case of comparing DateTime64 against a string.
|
||||
*
|
||||
* Can't be moved to executeDateOrDateTimeOrEnumOrUUIDWithConstString()
|
||||
* since DateTime64 is basically a Decimal, but we do similar things, except type inference.
|
||||
* Outline:
|
||||
* - Extract string content
|
||||
* - Parse it as a ColumnDateTime64 value (same type as DateTime64, means same precision)
|
||||
* - Fabricate a column with type and name
|
||||
* - Compare left and right comlumns as DateTime64 columns.
|
||||
*/
|
||||
|
||||
const size_t datetime64_col_index = which_left.isDateTime64() ? 0 : 1;
|
||||
const size_t string_col_index = which_left.isStringOrFixedString() ? 0 : 1;
|
||||
|
||||
const auto & datetime64_col_with_type_and_name = block.getByPosition(arguments[datetime64_col_index]);
|
||||
const auto & string_col_with_type_and_name = block.getByPosition(arguments[string_col_index]);
|
||||
|
||||
if (!isColumnConst(*string_col_with_type_and_name.column))
|
||||
throw Exception(getName() + ", illegal column type of argument #" + std::to_string(string_col_index)
|
||||
+ " '" + string_col_with_type_and_name.name + "'"
|
||||
" expected const String or const FixedString,"
|
||||
" got " + string_col_with_type_and_name.type->getName(),
|
||||
ErrorCodes::ILLEGAL_COLUMN);
|
||||
|
||||
if (datetime64_col_with_type_and_name.column->size() == 0 || string_col_with_type_and_name.column->size() == 0)
|
||||
{
|
||||
// For some reason, when both left and right columns are empty (dry run while building a header block)
|
||||
// executeDecimal() fills result column with bogus value.
|
||||
block.getByPosition(result).column = ColumnUInt8::create();
|
||||
return;
|
||||
}
|
||||
|
||||
auto parsed_tmp_column_holder = datetime64_col_with_type_and_name.type->createColumn();
|
||||
|
||||
{
|
||||
const StringRef string_value = string_col_with_type_and_name.column->getDataAt(0);
|
||||
ReadBufferFromMemory in(string_value.data, string_value.size);
|
||||
datetime64_col_with_type_and_name.type->deserializeAsWholeText(*parsed_tmp_column_holder, in, FormatSettings{});
|
||||
|
||||
if (!in.eof())
|
||||
throw Exception(getName() + ": String is too long for " + datetime64_col_with_type_and_name.type->getName() + " : " + string_value.toString(), ErrorCodes::TOO_LARGE_STRING_SIZE);
|
||||
}
|
||||
|
||||
// It is necessary to wrap tmp column in ColumnConst to avoid overflow when comparing.
|
||||
// (non-const columns are expected to have same number of rows as every other column in block).
|
||||
const ColumnWithTypeAndName parsed_tmp_col_with_type_and_name{
|
||||
ColumnConst::create(std::move(parsed_tmp_column_holder), 1),
|
||||
datetime64_col_with_type_and_name.type,
|
||||
string_col_with_type_and_name.name};
|
||||
|
||||
executeDecimal(block, result,
|
||||
which_left.isDateTime64() ? datetime64_col_with_type_and_name : parsed_tmp_col_with_type_and_name,
|
||||
which_right.isDateTime64() ? datetime64_col_with_type_and_name : parsed_tmp_col_with_type_and_name);
|
||||
|
||||
}
|
||||
else if (isColumnedAsDecimal(left_type) || isColumnedAsDecimal(right_type))
|
||||
{
|
||||
@ -1294,19 +1199,10 @@ public:
|
||||
|
||||
executeDecimal(block, result, col_with_type_and_name_left, col_with_type_and_name_right);
|
||||
}
|
||||
else if (!left_is_num && !right_is_num && executeString(block, result, col_left_untyped, col_right_untyped))
|
||||
{
|
||||
}
|
||||
else if (left_type->equals(*right_type))
|
||||
{
|
||||
executeGenericIdenticalTypes(block, result, col_left_untyped, col_right_untyped);
|
||||
}
|
||||
else if (executeDateOrDateTimeOrEnumOrUUIDWithConstString(
|
||||
block, result, col_left_untyped, col_right_untyped,
|
||||
left_type, right_type,
|
||||
left_is_num, input_rows_count))
|
||||
{
|
||||
}
|
||||
else
|
||||
{
|
||||
executeGeneric(block, result, col_with_type_and_name_left, col_with_type_and_name_right);
|
||||
|
||||
@ -9,7 +9,7 @@
|
||||
#include <Columns/ColumnFixedString.h>
|
||||
#include <Columns/ColumnsNumber.h>
|
||||
#include <Columns/ColumnNullable.h>
|
||||
#include <Common/FieldVisitors.h>
|
||||
#include <Common/FieldVisitorsAccurateComparison.h>
|
||||
#include <Common/memcmpSmall.h>
|
||||
#include <Common/assert_cast.h>
|
||||
|
||||
|
||||
@ -196,18 +196,17 @@ struct BloomFilterHash
|
||||
const ColumnString::Chars & data = index_column->getChars();
|
||||
const ColumnString::Offsets & offsets = index_column->getOffsets();
|
||||
|
||||
ColumnString::Offset current_offset = pos;
|
||||
for (size_t index = 0, size = vec.size(); index < size; ++index)
|
||||
{
|
||||
ColumnString::Offset current_offset = offsets[index + pos - 1];
|
||||
size_t length = offsets[index + pos] - current_offset - 1 /* terminating zero */;
|
||||
UInt64 city_hash = CityHash_v1_0_2::CityHash64(
|
||||
reinterpret_cast<const char *>(&data[current_offset]), offsets[index + pos] - current_offset - 1);
|
||||
reinterpret_cast<const char *>(&data[current_offset]), length);
|
||||
|
||||
if constexpr (is_first)
|
||||
vec[index] = city_hash;
|
||||
else
|
||||
vec[index] = CityHash_v1_0_2::Hash128to64(CityHash_v1_0_2::uint128(vec[index], city_hash));
|
||||
|
||||
current_offset = offsets[index + pos];
|
||||
}
|
||||
}
|
||||
else if (const auto * fixed_string_index_column = typeid_cast<const ColumnFixedString *>(column))
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user