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docs/integrations/data-ingestion/google-dataflow/templates/bigquery-to-clickhouse.md

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@@ -52,7 +52,7 @@ The template can either read the entire table or read specific records using a p
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All `ClickHouseIO` parameters default values could be found in [`ClickHouseIO` Apache Beam Connector](/integrations/apache-beam#clickhouseiowrite-parameters)
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:::
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## Source and Target Tables Schema {#source-and-target-tables-schema}
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## Source and target tables schema {#source-and-target-tables-schema}
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In order to effectively load the BigQuery dataset to ClickHouse, and a column infestation process is conducted with the
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following phases:
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--parameters inputTableSpec="<bigquery table id>",jdbcUrl="jdbc:clickhouse://<clickhouse host>:<clickhouse port>/<schema>?ssl=true&sslmode=NONE",clickHouseUsername="<username>",clickHousePassword="<password>",clickHouseTable="<clickhouse target table>"
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```
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### Command Breakdown {#command-breakdown}
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### Command breakdown {#command-breakdown}
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- **Job Name:** The text following the `run` keyword is the unique job name.
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- **Template File:** The JSON file specified by `--template-file-gcs-location` defines the template structure and
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details about the accepted parameters. The mention file path is public and ready to use.
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- **Parameters:** Parameters are separated by commas. For string-based parameters, enclose the values in double quotes.
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### Expected Response {#expected-response}
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### Expected response {#expected-response}
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After running the command, you should see a response similar to the following:
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* Decrease the batch size: Adjust the batch size in your Dataflow job configuration to send smaller chunks of data to ClickHouse, reducing memory consumption per batch.
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These changes might help balance resource usage during data ingestion.
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## Template Source Code {#template-source-code}
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## Template source code {#template-source-code}
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The template's source code is available in ClickHouse's [DataflowTemplates](https://github.com/ClickHouse/DataflowTemplates) fork.

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