<p>During database design, some key factors about table design will greatly affect the subsequent query performance of the database. Table design affects data storage as well. A good table design reduces I/O operations and minimizes memory usage, improving the query performance.</p>
<p>Selecting a model for table storage is the first step of table definition. Select a proper storage model for your service based on the following table:</p>
<div class="hn-table">
<table>
<thead>
<tr>
<td><strong>Storage Model</strong></td><td><strong>Applicable Scenario</strong></td></tr>
</thead>
<tbody>
<tr>
<td>Row-store</td><td>Point queries (simple index-based queries that only return a few records)</td></tr>
<tr>
<td>Column-store</td><td>Statistics analysis query, in which operations, such as group and join, are performed many times.</td></tr>
</tbody>
</table>
</div>

During database design, some key factors about table design will greatly affect the subsequent query performance of the database. Table design affects data storage as well. A good table design reduces I/O operations and minimizes memory usage, improving the query performance.

Selecting a model for table storage is the first step of table definition. Select a proper storage model for your service based on the following table:

| **Storage Model** | **Applicable Scenario** |
| --- | --- |
| Row-store | Point queries (simple index-based queries that only return a few records) |
| Column-store | Statistics analysis query, in which operations, such as group and join, are performed many times. |

Storage Model	Applicable Scenario
Row-store	Point queries (simple index-based queries that only return a few records)
Column-store	Statistics analysis query, in which operations, such as group and join, are performed many times.

openGauss Selecting a Storage Model