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.github/workflows/pull-request.yaml

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env:
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# Force the stdout and stderr streams to be unbuffered
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PYTHONUNBUFFERED: 1
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CI: false
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on: # yamllint disable-line rule:truthy
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pull_request:
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run: yarn install --frozen-lockfile
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- name: Build
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run: yarn build
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id: build
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continue-on-error: true
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run: |
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CI=false DOCUSAURUS_IGNORE_SSG_WARNINGS=true yarn build
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echo "exit_code=$?" >> $GITHUB_OUTPUT
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- name: Check for validation failures
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if: success() || failure() # Run regardless of build success
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run: |
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FAILED=false
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if [ -f ".frontmatter-validation-failed" ]; then
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echo "::error::Frontmatter validation failed"
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FAILED=true
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fi
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if [ -f ".floating-pages-validation-failed" ]; then
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echo "::error::Floating pages validation failed"
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FAILED=true
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fi
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# Check if build failed with non-validation error
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if [ "${{ steps.build.outputs.exit_code }}" != "0" ] && [ "$FAILED" != "true" ]; then
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echo "::error::Build failed with exit code ${{ steps.build.outputs.exit_code }}"
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exit 1
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fi
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if [ "$FAILED" = true ]; then
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exit 1
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fi

docs/about-us/support.md

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# ClickHouse Cloud Support Services
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ClickHouse provides Support Services for our ClickHouse Cloud users and customers. Our objective is a Support Services team that represents the ClickHouse product – unparalleled performance, ease of use, and exceptionally fast, high-quality results. For details, [visit our Support Services](https://clickhouse.com/support/program/) page.
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ClickHouse provides Support Services for our ClickHouse Cloud users and customers. Our objective is a Support Services team that represents the ClickHouse product – unparalleled performance, ease of use, and exceptionally fast, high-quality results. For details, [visit our ClickHouse Support Program](https://clickhouse.com/support/program/) page.
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[Login to the Cloud console](https://console.clickhouse.cloud/support) and select **Help -> Support** from the menu options to open a new support case and view the status of your submitted cases.
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**Service level agreements ("SLA")**
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Classification of severity levels for issues reported and response times.
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| Severity Level | Trial | Basic | Scale | Enterprise |
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|-----------------|-----------------------|--------------------------|----------------------------|----------------------------------------------------------------------------------------|
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| Severity 1 | Not available | Not available | 1 hour 24x7 | 30 minute 24x7 |
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| Severity 2 | Not available | Not available | 4 business hours | 2 business hours |
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| Severity 3 | 1 business day | 1 business day | 1 business day | 1 business day |
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(*) Business hours are Monday 00:00 UTC to Saturday 00:00 UTC
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Customers can only log Severity 3 tickets for single replica services across tiers. The exception is for a service leveraging the compute-compute separation feature, where the parent service is running 3+ replicas.
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You can also subscribe to our [status page](https://status.clickhouse.com) to get notified quickly about any incidents affecting our platform.
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:::note

docs/cloud/reference/warehouses.md

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Because all in a warehouse share the same set of tables, they also share access controls to those other services. This means that all database users that are created in Service 1 will also be able to use Service 2 with the same permissions (grants for tables, views, etc), and vice versa. Users will use another endpoint for each service but will use the same username and password. In other words, _users are shared across services that work with the same storage:_
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<Image img={compute_3} size="md" alt="User access across services sharing same data" background='white' />
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<Image img={compute_3} size="md" alt="User access across services sharing same data" />
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<br />
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docs/data-modeling/index.md

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| [Schema Design](/data-modeling/schema-design) | Discusses ClickHouse schema design for optimal performance, considering factors like queries, data updates, latency, and volume. |
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| [Dictionary](/dictionary) | An explainer on how to define and use dictionaries to improve query performance and enrich data. |
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| [Materialized Views](/materialized-views) | Information on Materialized Views and Refreshable Materialized Views in ClickHouse. |
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| [Projections](/data-modeling/projections)| Information on Projections in ClickHouse.|
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| [Data Compression](/data-compression/compression-in-clickhouse) | Discusses various compression modes in ClickHouse and how to optimize data storage and query performance by choosing the right compression method for your specific data types and workloads. |
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| [Denormalizing Data](/data-modeling/denormalization) | Discusses the denormalization approach used in ClickHouse which aims to improve query performance by storing related data in a single table. |

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