---
title: "Doris"
sidebar_position: 3
---

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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>

