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Merge pull request #4079 from ClickHouse/4032-spacing-after-list-items-2
Enforcing Markdown rules, list item indentation, cleaning up extra spaces (MD007, MD012).
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.vale.ini

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StylesPath = styles
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MinAlertLevel = suggestion
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MinAlertLevel = warning
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[*.{md}]
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BasedOnStyles = ClickHouse

docs/_snippets/_add_superset_detail.md

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```
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</details>
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docs/_snippets/_aws_regions.md

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|us-east-1 c1 | com.amazonaws.vpce.us-east-1.vpce-svc-096c118db1ff20ea4 | use1-az6 use1-az4 use1-az2 |
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|us-east-2 | com.amazonaws.vpce.us-east-2.vpce-svc-0b99748bf269a86b4 | use2-az1 use2-az2 use2-az3 |
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|us-west-2 | com.amazonaws.vpce.us-west-2.vpce-svc-049bbd33f61271781 | usw2-az2 usw2-az1 usw2-az3 |
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docs/_snippets/_clickhouse_mysql_cloud_setup.mdx

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<Image size="md" img={mysql_1} alt="ClickHouse Cloud credentials screen showing MySQL interface selection dropdown" border />
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2. Toggle the switch to enable the MySQL interface for this specific service. This will expose port `3306` for this service and prompt you with your MySQL connection screen that include your unique MySQL username.
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<Image size="md" img={mysql_2} alt="ClickHouse Cloud MySQL interface enabling toggle and connection details" border />
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<Image size="md" img={mysql_3} alt="ClickHouse Cloud service connection screen with Connect option highlighted" border />
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<br/>
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4. Select MySQL from the `Connect With` drop down.
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<br/>

docs/_snippets/_gather_your_details_native.md

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import connection_details_native from '@site/static/images/_snippets/connection-details-native.png';
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import Image from '@theme/IdealImage';
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To connect to ClickHouse with native TCP you need this information:
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- The HOST and PORT: typically, the port is 9440 when using TLS, or 9000 when not using TLS.

docs/_snippets/_gcp_regions.md

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|`europe-west4`| `projects/dataplane-production/regions/europe-west4/serviceAttachments/production-europe-west4-clickhouse-cloud`| `europe-west4.p.gcp.clickhouse.cloud` |
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|`us-central1`| `projects/dataplane-production/regions/us-central1/serviceAttachments/production-us-central1-clickhouse-cloud` | `us-central1.p.gcp.clickhouse.cloud` |
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|`us-east1`| `projects/dataplane-production/regions/us-east1/serviceAttachments/production-us-east1-clickhouse-cloud` | `us-east1.p.gcp.clickhouse.cloud` |
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docs/_snippets/_launch_sql_console.md

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import createservice8 from '@site/static/images/_snippets/createservice8.png';
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import Image from '@theme/IdealImage';
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:::tip SQL console
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If you need a SQL client connection, your ClickHouse Cloud service has an associated web based SQL console; expand **Connect to SQL console** below for details.
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:::

docs/_snippets/_tabs.md

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</TabItem>
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</Tabs>
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docs/about-us/adopters.md

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| [ЦФТ](https://cft.ru/) | Banking, Financial products, Payments || [Meetup in Russian, April 2020](https://team.cft.ru/events/162) |||
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| [Цифровой Рабочий](https://promo.croc.ru/digitalworker) | Industrial IoT, Analytics || [Blog post in Russian, March 2021](https://habr.com/en/company/croc/blog/548018/) |||
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</div>

docs/about-us/history.md

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OLAPServer worked well for non-aggregated data, but it had many restrictions that did not allow it to be used for all reports as desired. These included a lack of support for data types (numbers only), and the inability to incrementally update data in real-time (it could only be done by rewriting data daily). OLAPServer is not a DBMS, but a specialized DB.
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The initial goal for ClickHouse was to remove the limitations of OLAPServer and solve the problem of working with non-aggregated data for all reports, but over the years, it has grown into a general-purpose database management system suitable for a wide range of analytical tasks.
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