> ## Documentation Index
> Fetch the complete documentation index at: https://statsig-4b2ff144-kill-dead-node-pages.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Precomputed Metrics

> Import existing metrics from cloud data warehouses like Snowflake, BigQuery, and Redshift for experiment analysis.

## Importing Precomputed Metrics

### Importing Precomputing Metrics from your Data Warehouse

Statsig integrates natively with cloud data warehouses such as [Snowflake](/data-warehouse-ingestion/snowflake), [BigQuery](/data-warehouse-ingestion/bigquery), [Redshift](/data-warehouse-ingestion/redshift) to ingest any of your existing metrics for computing experiment results. See [Data Warehouse Ingestion](/data-warehouse-ingestion/introduction) to get started.

## Debugging Precomputed Metrics

Statsig creates a metric detail page for all precomputed metrics that you import from your data warehouse. These metric detail pages take a few hours to generate post-import or ingestion. The fastest way to start seeing and debugging your precomputed metrics is via the **Metrics Logstream** in the **Metrics Catalog** tab within **Metrics**.

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The **Metrics Stream** will surface all ingested, precomputed metrics in real-time as they are ingested, enabling you to check metric name, metric value, unit identifier, ID type, and ingestion date.

<Info>**Tip**: Customers can trip up on ensuring that their precomputed metrics have the right ID type. Pay extra attention to this column!</Info>

Finally, the **Metrics Stream** only appears if you're actively ingesting precomputed metrics. If you're not seeing it appear at the bottom of your **Metrics Catalog**, Statsig likely is not receiving your precomputed metrics due to a connection issue or an invalid schema.