> ## Documentation Index
> Fetch the complete documentation index at: https://docs.maia.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Refresh Materialized View

export const ComponentMetadata = ({warehouses, unsupportedWarehouses = [], componentType, connectionInputs, connectionOutputs}) => {
  const allWarehouses = [...warehouses.map(w => ({
    name: w,
    supported: true
  })), ...unsupportedWarehouses.map(w => ({
    name: w,
    supported: false
  }))];
  return <div style={{
    background: 'var(--colors-background-light, #f9fafb)',
    border: '1px solid var(--colors-border-default, #e5e7eb)',
    borderRadius: '12px',
    padding: '20px 28px',
    marginBottom: '28px',
    boxShadow: '0 1px 4px rgba(0,0,0,0.10)'
  }}>
      <table style={{
    width: '100%',
    borderCollapse: 'collapse'
  }}>
        <tbody>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    paddingBottom: '14px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle',
    width: '180px'
  }}>Project Availability</td>
            <td style={{
    paddingBottom: '14px',
    verticalAlign: 'middle'
  }}>
              <div style={{
    display: 'flex',
    flexWrap: 'wrap',
    gap: '8px'
  }}>
                {allWarehouses.map((w, i) => <span key={i} style={{
    background: w.supported ? '#dcfce7' : '#fee2e2',
    color: w.supported ? '#15803d' : '#b91c1c',
    border: `1px solid ${w.supported ? '#bbf7d0' : '#fca5a5'}`,
    borderRadius: '9999px',
    padding: '3px 12px',
    fontSize: '0.85rem',
    fontWeight: '500',
    whiteSpace: 'nowrap'
  }}>
                    {w.name} {w.supported ? '✅' : '❌'}
                  </span>)}
              </div>
            </td>
          </tr>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    paddingBottom: '14px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle'
  }}>Component Type</td>
            <td style={{
    paddingBottom: '14px',
    verticalAlign: 'middle'
  }}>{componentType}</td>
          </tr>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    paddingBottom: '14px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle'
  }}>Connection Inputs</td>
            <td style={{
    paddingBottom: '14px',
    verticalAlign: 'middle'
  }}>{connectionInputs}</td>
          </tr>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle'
  }}>Connection Outputs</td>
            <td style={{
    verticalAlign: 'middle'
  }}>{connectionOutputs}</td>
          </tr>
        </tbody>
      </table>
    </div>;
};

<ComponentMetadata warehouses={["Amazon Redshift", "Google BigQuery"]} unsupportedWarehouses={["Snowflake", "Databricks"]} componentType="Orchestration" connectionInputs="One" connectionOutputs="Unlimited" />

The Refresh Materialized View orchestration component refreshes a selected materialized view, identifying changes to an underlying table in a database and applying those changes to the materialized view.

In Amazon Redshift, materialized views are initially created with the [Create View](/docs/components/create-view) component.

For an explanation of materialized views, read [Creating materialized views in Amazon Redshift](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) or [Introduction to materialized views in Google BigQuery](https://cloud.google.com/bigquery/docs/materialized-views-intro).

In Amazon Redshift, each materialized view has an "owner"—namely, whichever database user creates a given view. Users can only refresh views that they created.

In Google BigQuery, refresh access is governed by IAM rather than view ownership. Any user assigned the `bigquery.dataEditor`, `bigquery.dataOwner`, or `bigquery.admin` role on the dataset can refresh a materialized view, regardless of who created it. For more information, read [Required permissions](https://cloud.google.com/bigquery/docs/materialized-views-manage#required_permissions).

***

## Properties

<Tabs>
  <Tab title="Amazon Redshift">
    <ResponseField name="Name" type="string" required>
      A human-readable name for the component.
    </ResponseField>

    {/* <!-- param-start:[schema] | warehouses: [redshift] --> */}

    <ResponseField name="Schema" type="drop-down" required>
      Select the table schema. The special value `[Environment Default]` uses the schema defined in the environment. For more information on using multiple schemas, read [Schemas](https://docs.aws.amazon.com/redshift/latest/dg/r_Schemas_and_tables.html).
    </ResponseField>

    {/* <!-- param-start:[viewName] | warehouses: [redshift] --> */}

    <ResponseField name="View name" type="drop-down" required>
      Select the materialized view to refresh. For more information, read [Create Materialized View](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html).
    </ResponseField>
  </Tab>

  <Tab title="Google BigQuery">
    <ResponseField name="Name" type="string" required>
      A human-readable name for the component.
    </ResponseField>

    {/* <!-- param-start:[gcpProjectId] | warehouses: [bigquery] --> */}

    <ResponseField name="GCP Project ID" type="drop-down" required>
      The Google Cloud project that owns the BigQuery dataset. The special value `[Environment Default]` uses the Google Cloud project defined in the environment. For more information, read [Creating projects](https://docs.cloud.google.com/resource-manager/docs/creating-managing-projects).
    </ResponseField>

    {/* <!-- param-start:[dataset] | warehouses: [bigquery] --> */}

    <ResponseField name="Dataset" type="drop-down" required>
      The Google BigQuery dataset containing the materialized view to refresh. The special value `[Environment Default]` uses the dataset defined in the environment.
    </ResponseField>

    {/* <!-- param-start:[viewName] | warehouses: [bigquery] --> */}

    <ResponseField name="View name" type="drop-down" required>
      Select the BigQuery materialized view you want to refresh. Only materialized views that you have permission to refresh will be listed. For more information, read [Create materialized views](https://cloud.google.com/bigquery/docs/materialized-views-create).
    </ResponseField>
  </Tab>
</Tabs>