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To connect to ClickHouse with HTTP(S) you need this information:
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The details for your ClickHouse Cloud service are available in the ClickHouse Cloud console. Select the service that you will connect to and click **Connect**:
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<imgsrc={cloud_connect_button}class="image"alt="ClickHouse Cloud service connect button" />
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<Imageimg={cloud_connect_button}size="md"alt="ClickHouse Cloud service connect button" />
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Choose **HTTPS**, and the details are available in an example `curl` command.
Copy file name to clipboardExpand all lines: docs/_snippets/_gather_your_details_native.md
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import cloud_connect_button from '@site/static/images/_snippets/cloud-connect-button.png';
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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 details for your ClickHouse Cloud service are available in the ClickHouse Cloud console. Select the service that you will connect to and click **Connect**:
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<imgsrc={cloud_connect_button}class="image"alt="ClickHouse Cloud service connect button" />
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<Imageimg={cloud_connect_button}size="md"alt="ClickHouse Cloud service connect button" />
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Choose **Native**, and the details are available in an example `clickhouse-client` command.
Copy file name to clipboardExpand all lines: docs/integrations/data-ingestion/clickpipes/index.md
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@@ -17,22 +17,23 @@ import Postgressvg from '@site/static/images/integrations/logos/postgresql.svg';
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import redpanda_logo from '@site/static/images/integrations/logos/logo_redpanda.png';
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import clickpipes_stack from '@site/static/images/integrations/data-ingestion/clickpipes/clickpipes_stack.png';
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import cp_custom_role from '@site/static/images/integrations/data-ingestion/clickpipes/cp_custom_role.png';
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import Image from '@theme/IdealImage';
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# Integrating with ClickHouse Cloud
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## Introduction {#introduction}
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[ClickPipes](/integrations/clickpipes) is a managed integration platform that makes ingesting data from a diverse set of sources as simple as clicking a few buttons. Designed for the most demanding workloads, ClickPipes's robust and scalable architecture ensures consistent performance and reliability. ClickPipes can be used for long-term streaming needs or one-time data loading job.
| Apache Kafka |<Kafkasvg class="image" alt="Apache Kafka logo" style={{width: '3rem', 'height': '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Apache Kafka into ClickHouse Cloud. |
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| Confluent Cloud |<Confluentsvg class="image" alt="Confluent Cloud logo" style={{width: '3rem'}}/>|Streaming| Stable | Unlock the combined power of Confluent and ClickHouse Cloud through our direct integration. |
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| Redpanda |<img src={redpanda_logo} class="image" alt="Redpanda logo" style={{width: '2.5rem', 'background-color': 'transparent'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Redpanda into ClickHouse Cloud. |
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| Redpanda |<Imageimg={redpanda_logo}size="logo"alt="Redpanda logo"/> |Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Redpanda into ClickHouse Cloud. |
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| AWS MSK |<Msksvg class="image" alt="AWS MSK logo" style={{width: '3rem', 'height': '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from AWS MSK into ClickHouse Cloud. |
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| Azure Event Hubs |<Azureeventhubssvg class="image" alt="Azure Event Hubs logo" style={{width: '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Azure Event Hubs into ClickHouse Cloud. |
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| WarpStream |<Warpstreamsvg class="image" alt="WarpStream logo" style={{width: '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from WarpStream into ClickHouse Cloud. |
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1. create a custom role `CREATE ROLE my_clickpipes_role SETTINGS ...`. See [CREATE ROLE](/sql-reference/statements/create/role.md) syntax for details.
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2. add the custom role to ClickPipes user on step `Details and Settings` during the ClickPipes creation.
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<imgsrc={cp_custom_role}alt="Assign a custom role" />
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<Imageimg={cp_custom_role}alt="Assign a custom role"size="lg" />
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## Error reporting {#error-reporting}
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ClickPipes will create a table next to your destination table with the postfix `<destination_table_name>_clickpipes_error`. This table will contain any errors from the operations of your ClickPipe (network, connectivity, etc.) and also any data that don't conform to the schema. The error table has a [TTL](/engines/table-engines/mergetree-family/mergetree#table_engine-mergetree-ttl) of 7 days.
<imgsrc={cp_step1}alt="Select data source type" />
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<Imageimg={cp_step1}alt="Select data source type"size="lg"/>
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4. Fill out the form by providing your ClickPipe with a name, a description (optional), your credentials, and other connection details.
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<imgsrc={cp_step2}alt="Fill out connection details" />
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<Imageimg={cp_step2}alt="Fill out connection details"size="lg"/>
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5. Configure the schema registry. A valid schema is required for Avro streams and optional for JSON. This schema will be used to parse [AvroConfluent](../../../interfaces/formats.md/#data-format-avro-confluent) or validate JSON messages on the selected topic.
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- Avro messages that cannot be parsed or JSON messages that fail validation will generate an error.
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6. Select your topic and the UI will display a sample document from the topic.
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<imgsrc={cp_step3}alt="Set data format and topic" />
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<Imageimg={cp_step3}alt="Set data format and topic"size="lg"/>
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7. In the next step, you can select whether you want to ingest data into a new ClickHouse table or reuse an existing one. Follow the instructions in the screen to modify your table name, schema, and settings. You can see a real-time preview of your changes in the sample table at the top.
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<imgsrc={cp_step4a}alt="Set table, schema, and settings" />
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<Imageimg={cp_step4a}alt="Set table, schema, and settings"size="lg"/>
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You can also customize the advanced settings using the controls provided
8. Alternatively, you can decide to ingest your data in an existing ClickHouse table. In that case, the UI will allow you to map fields from the source to the ClickHouse fields in the selected destination table.
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<imgsrc={cp_step4b}alt="Use an existing table" />
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<Imageimg={cp_step4b}alt="Use an existing table"size="lg"/>
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9. Finally, you can configure permissions for the internal ClickPipes user.
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**Permissions:** ClickPipes will create a dedicated user for writing data into a destination table. You can select a role for this internal user using a custom role or one of the predefined role:
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- `Full access`: with the full access to the cluster. It might be useful if you use Materialized View or Dictionary with the destination table.
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- `Only destination table`: with the `INSERT` permissions to the destination table only.
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<imgsrc={cp_step5}alt="Permissions" />
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<Imageimg={cp_step5}alt="Permissions"size="lg"/>
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10. By clicking on "Complete Setup", the system will register you ClickPipe, and you'll be able to see it listed in the summary table.
11.**Congratulations!** you have successfully set up your first ClickPipe. If this is a streaming ClickPipe it will be continuously running, ingesting data in real-time from your remote data source.
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| Apache Kafka |<Kafkasvg class="image" alt="Apache Kafka logo" style={{width: '3rem', 'height': '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Apache Kafka into ClickHouse Cloud. |
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| Confluent Cloud |<Confluentsvg class="image" alt="Confluent Cloud logo" style={{width: '3rem'}}/>|Streaming| Stable | Unlock the combined power of Confluent and ClickHouse Cloud through our direct integration. |
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| Redpanda |<img src={redpanda_logo} class="image" alt="Redpanda logo" style={{width: '2.5rem', 'background-color': 'transparent'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Redpanda into ClickHouse Cloud. |
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| Redpanda |<Imageimg={redpanda_logo}size="logo"alt="Redpanda logo"/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Redpanda into ClickHouse Cloud. |
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| AWS MSK |<Msksvg class="image" alt="AWS MSK logo" style={{width: '3rem', 'height': '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from AWS MSK into ClickHouse Cloud. |
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| Azure Event Hubs |<Azureeventhubssvg class="image" alt="Azure Event Hubs logo" style={{width: '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from Azure Event Hubs into ClickHouse Cloud. |
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| WarpStream |<Warpstreamsvg class="image" alt="WarpStream logo" style={{width: '3rem'}}/>|Streaming| Stable | Configure ClickPipes and start ingesting streaming data from WarpStream into ClickHouse Cloud. |
Copy file name to clipboardExpand all lines: docs/integrations/data-ingestion/clickpipes/object-storage.md
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import cp_remove from '@site/static/images/integrations/data-ingestion/clickpipes/cp_remove.png';
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import cp_destination from '@site/static/images/integrations/data-ingestion/clickpipes/cp_destination.png';
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import cp_overview from '@site/static/images/integrations/data-ingestion/clickpipes/cp_overview.png';
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import Image from '@theme/IdealImage';
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# Integrating Object Storage with ClickHouse Cloud
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Object Storage ClickPipes provide a simple and resilient way to ingest data from Amazon S3 and Google Cloud Storage into ClickHouse Cloud. Both one-time and continuous ingestion are supported with exactly-once semantics.
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1. In the cloud console, select the `Data Sources` button on the left-side menu and click on "Set up a ClickPipe"
<imgsrc={cp_step1}alt="Select data source type" />
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<Imageimg={cp_step1}alt="Select data source type"size="lg"/>
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3. Fill out the form by providing your ClickPipe with a name, a description (optional), your IAM role or credentials, and bucket URL. You can specify multiple files using bash-like wildcards. For more information, [see the documentation on using wildcards in path](#limitations).
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<imgsrc={cp_step2_object_storage}alt="Fill out connection details" />
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<Imageimg={cp_step2_object_storage}alt="Fill out connection details"size="lg"/>
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4. The UI will display a list of files in the specified bucket. Select your data format (we currently support a subset of ClickHouse formats) and if you want to enable continuous ingestion [More details below](#continuous-ingest).
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<imgsrc={cp_step3_object_storage}alt="Set data format and topic" />
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<Imageimg={cp_step3_object_storage}alt="Set data format and topic"size="lg"/>
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5. In the next step, you can select whether you want to ingest data into a new ClickHouse table or reuse an existing one. Follow the instructions in the screen to modify your table name, schema, and settings. You can see a real-time preview of your changes in the sample table at the top.
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<imgsrc={cp_step4a}alt="Set table, schema, and settings" />
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<Imageimg={cp_step4a}alt="Set table, schema, and settings"size="lg"/>
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You can also customize the advanced settings using the controls provided
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<imgsrc={cp_step4b}alt="Use an existing table" />
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<Imageimg={cp_step4b}alt="Use an existing table"size="lg"/>
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:::info
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You can also map [virtual columns](../../sql-reference/table-functions/s3#virtual-columns), like `_path` or `_size`, to fields.
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- `Full access`: with the full access to the cluster. Required if you use Materialized View or Dictionary with the destination table.
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- `Only destination table`: with the `INSERT` permissions to the destination table only.
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<imgsrc={cp_step5}alt="Permissions" />
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8. By clicking on "Complete Setup", the system will register you ClickPipe, and you'll be able to see it listed in the summary table.
9.**Congratulations!** you have successfully set up your first ClickPipe. If this is a streaming ClickPipe it will be continuously running, ingesting data in real-time from your remote data source. Otherwise it will ingest the batch and complete.
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## Supported Data Sources {#supported-data-sources}
Copy file name to clipboardExpand all lines: docs/integrations/data-ingestion/dbms/dynamodb/index.md
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import dynamodb_kinesis_stream from '@site/static/images/integrations/data-ingestion/dbms/dynamodb/dynamodb-kinesis-stream.png';
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import dynamodb_s3_export from '@site/static/images/integrations/data-ingestion/dbms/dynamodb/dynamodb-s3-export.png';
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import dynamodb_map_columns from '@site/static/images/integrations/data-ingestion/dbms/dynamodb/dynamodb-map-columns.png';
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import Image from '@theme/IdealImage';
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# CDC from DynamoDB to ClickHouse
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First, you will want to enable a Kinesis stream on your DynamoDB table to capture changes in real-time. We want to do this before we create the snapshot to avoid missing any data.
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Find the AWS guide located [here](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/kds.html).
## 2. Create the snapshot {#2-create-the-snapshot}
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Next, we will create a snapshot of the DynamoDB table. This can be achieved through an AWS export to S3. Find the AWS guide located [here](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/S3DataExport.HowItWorks.html).
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**You will want to do a "Full export" in the DynamoDB JSON format.**
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