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[doc] Add doc for StarRocks (apache#3392)
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186 changes: 186 additions & 0 deletions docs/content/engines/starrocks.md
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---
title: "StarRocks"
weight: 5
type: docs
aliases:
- /engines/starrocks.html
---
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# StarRocks

This documentation is a guide for using Paimon in StarRocks.

## Version

Paimon currently supports StarRocks 3.1 and above. Recommended version is StarRocks 3.2.6 or above.

## Create Paimon Catalog

Paimon catalogs are registered by executing a `CREATE EXTERNAL CATALOG` SQL in StarRocks.
For example, you can use the following SQL to create a Paimon catalog named paimon_catalog.

```sql
CREATE EXTERNAL CATALOG paimon_catalog
PROPERTIES
(
"type" = "paimon",
"paimon.catalog.type" = "filesystem",
"paimon.catalog.warehouse" = "oss://<your_bucket>/user/warehouse/"
);
```

More catalog types and configures can be seen in [Paimon catalog](https://docs.starrocks.io/docs/data_source/catalog/paimon_catalog/).

## Query
Suppose there already exists a database named `test_db` and a table named `test_tbl` in `paimon_catalog`,
you can query this table using the following SQL:
```sql
SELECT * FROM paimon_catalog.test_db.test_tbl;
```

## Query System Tables

You can access all kinds of Paimon system tables by StarRocks. For example, you can read the `ro`
(read-optimized) system table to improve reading performance of primary-key tables.

```sql
SELECT * FROM paimon_catalog.test_db.test_tbl$ro;
```

For another example, you can query partition files of the table using the following SQL:

```sql
SELECT * FROM paimon_catalog.test_db.partition_tbl$partitions;
/*
+-----------+--------------+--------------------+------------+----------------------------+
| partition | record_count | file_size_in_bytes | file_count | last_update_time |
+-----------+--------------+--------------------+------------+----------------------------+
| [1] | 1 | 645 | 1 | 2024-01-01 00:00:00.000000 |
+-----------+--------------+--------------------+------------+----------------------------+
*/
```

## StarRocks to Paimon type mapping

This section lists all supported type conversion between StarRocks and Paimon.
All StarRocks’s data types can be found in this doc [StarRocks Data type overview](https://docs.starrocks.io/docs/sql-reference/data-types/data-type-list/).

<table class="table table-bordered">
<thead>
<tr>
<th class="text-left" style="width: 10%">StarRocks Data Type</th>
<th class="text-left" style="width: 10%">Paimon Data Type</th>
<th class="text-left" style="width: 5%">Atomic Type</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>STRUCT</code></td>
<td><code>RowType</code></td>
<td>false</td>
</tr>
<tr>
<td><code>MAP</code></td>
<td><code>MapType</code></td>
<td>false</td>
</tr>
<tr>
<td><code>ARRAY</code></td>
<td><code>ArrayType</code></td>
<td>false</td>
</tr>
<tr>
<td><code>BOOLEAN</code></td>
<td><code>BooleanType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>TINYINT</code></td>
<td><code>TinyIntType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>SMALLINT</code></td>
<td><code>SmallIntType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>INT</code></td>
<td><code>IntType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>BIGINT</code></td>
<td><code>BigIntType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>FLOAT</code></td>
<td><code>FloatType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>DOUBLE</code></td>
<td><code>DoubleType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>CHAR(length)</code></td>
<td><code>CharType(length)</code></td>
<td>true</td>
</tr>
<tr>
<td><code>VARCHAR(MAX_VARCHAR_LENGTH)</code></td>
<td><code>VarCharType(VarCharType.MAX_LENGTH)</code></td>
<td>true</td>
</tr>
<tr>
<td><code>VARCHAR(length)</code></td>
<td><code>VarCharType(length), length is less than VarCharType.MAX_LENGTH</code></td>
<td>true</td>
</tr>
<tr>
<td><code>DATE</code></td>
<td><code>DateType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>DATETIME</code></td>
<td><code>TimestampType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>DECIMAL(precision, scale)</code></td>
<td><code>DecimalType(precision, scale)</code></td>
<td>true</td>
</tr>
<tr>
<td><code>VARBINARY(length)</code></td>
<td><code>VarBinaryType(length)</code></td>
<td>true</td>
</tr>
<tr>
<td><code>DATETIME</code></td>
<td><code>LocalZonedTimestampType</code></td>
<td>true</td>
</tr>
</tbody>
</table>
2 changes: 1 addition & 1 deletion docs/content/maintenance/system-tables.md
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Table specified system tables contain metadata and information about each table, such as the snapshots created and the options in use. Users can access system tables with batch queries.

Currently, Flink, Spark and Trino supports querying system tables.
Currently, Flink, Spark, Trino and StarRocks support querying system tables.

In some cases, the table name needs to be enclosed with back quotes to avoid syntax parsing conflicts, for example triple access mode:
```sql
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