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---
title: "Doris"
weight: 3
type: docs
aliases:
- /ecosystem/doris.html
---
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# Doris
This documentation is a guide for using Paimon in Doris.
> More details can be found in [Apache Doris Website](https://doris.apache.org/docs/dev/lakehouse/catalogs/paimon-catalog)
## Version
Paimon currently supports Apache Doris 2.0.6 and above.
## Create Paimon Catalog
Use `CREATE CATALOG` statement in Apache Doris to create Paimon Catalog.
Doris support multi types of Paimon Catalogs. Here are some examples:
```sql
-- HDFS based Paimon Catalog
CREATE CATALOG `paimon_hdfs` PROPERTIES (
"type" = "paimon",
"warehouse" = "hdfs://172.21.0.1:8020/user/paimon",
"hadoop.username" = "hadoop"
);
-- Aliyun OSS based Paimon Catalog
CREATE CATALOG `paimon_oss` PROPERTIES (
"type" = "paimon",
"warehouse" = "oss://paimon-bucket/paimonoss",
"oss.endpoint" = "oss-cn-beijing.aliyuncs.com",
"oss.access_key" = "ak",
"oss.secret_key" = "sk"
);
-- Hive Metastore based Paimon Catalog
CREATE CATALOG `paimon_hms` PROPERTIES (
"type" = "paimon",
"paimon.catalog.type" = "hms",
"warehouse" = "hdfs://172.21.0.1:8020/user/zhangdong/paimon2",
"hive.metastore.uris" = "thrift://172.21.0.44:7004",
"hadoop.username" = "hadoop"
);
-- Integrate with Aliyun DLF 1.0
CREATE CATALOG paimon_dlf PROPERTIES (
'type' = 'paimon',
'paimon.catalog.type' = 'dlf',
'warehouse' = 'oss://paimon-bucket/paimonoss/',
'dlf.proxy.mode' = 'DLF_ONLY',
'dlf.uid' = 'xxxxx',
'dlf.region' = 'cn-beijing',
'dlf.access_key' = 'ak',
'dlf.secret_key' = 'sk'
);
-- Integrate with Aliyun DLF 3.0 Paimon Rest
-- Apache Doris supported since version 3.1.0
CREATE CATALOG dlf_paimon_rest PROPERTIES (
'type' = 'paimon',
'uri' = 'http://cn-beijing-vpc.dlf.aliyuncs.com',
'warehouse' = 'catalog_name',
'paimon.rest.token.provider' = 'dlf',
'paimon.rest.dlf.access-key-id' = 'ak',
'paimon.rest.dlf.access-key-secret' = 'sk'
);
```
See [Apache Doris Website](https://doris.apache.org/docs/dev/lakehouse/catalogs/paimon-catalog#examples) for more examples.
## Access Paimon Catalog
1. Query Paimon table with full qualified name
```sql
SELECT * FROM paimon_hdfs.paimon_db.paimon_table;
```
2. Switch to Paimon Catalog and query
```sql
SWITCH paimon_hdfs;
USE paimon_db;
SELECT * FROM paimon_table;
```
## Query Optimization
- Read optimized for Primary Key Table
Doris can utilize the [Read optimized](https://paimon.apache.org/docs/0.8/primary-key-table/read-optimized/) feature for Primary Key Table(release in Paimon 0.6), by reading base data files using native Parquet/ORC reader and delta file using JNI.
- Deletion Vectors
Doris(2.1.4+) natively supports [Deletion Vectors](https://paimon.apache.org/docs/0.8/primary-key-table/deletion-vectors/)(released in Paimon 0.8).
## Doris to Paimon type mapping
<table class="table table-bordered">
<thead>
<tr>
<th class="text-left" style="width: 10%">Doris 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>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>VarChar</code></td>
<td><code>VarCharType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>Char</code></td>
<td><code>CharType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>Binary</code></td>
<td><code>VarBinaryType, BinaryType</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>Datetime</code></td>
<td><code>TimestampType,LocalZonedTimestampType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>Date</code></td>
<td><code>DateType</code></td>
<td>true</td>
</tr>
<tr>
<td><code>Array</code></td>
<td><code>ArrayType</code></td>
<td>false</td>
</tr>
<tr>
<td><code>Map</code></td>
<td><code>MapType</code></td>
<td>false</td>
</tr>
<tr>
<td><code>Struct</code></td>
<td><code>RowType</code></td>
<td>false</td>
</tr>
</tbody>
</table>