使用限制
- 支持 Iceberg V1/V2 表格式。
- 支持 Position Delete。
- 2.1.3 版本开始支持 Equality Delete。
- 支持 Parquet 文件格式
- 2.1.3 版本开始支持 ORC 文件格式。
创建 Catalog
基于 Hive Metastore 创建 Catalog
和 Hive Catalog 基本一致，这里仅给出简单示例。其他示例可参阅 Hive Catalog。
CREATE CATALOG iceberg PROPERTIES (
'type'='hms',
'hive.metastore.uris' = 'thrift://172.21.0.1:7004',
'hadoop.username' = 'hive',
'dfs.nameservices'='your-nameservice',
'dfs.ha.namenodes.your-nameservice'='nn1,nn2',
'dfs.namenode.rpc-address.your-nameservice.nn1'='172.21.0.2:4007',
'dfs.namenode.rpc-address.your-nameservice.nn2'='172.21.0.3:4007',
'dfs.client.failover.proxy.provider.your-nameservice'='org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider'
);基于 Iceberg API 创建 Catalog
使用 Iceberg API 访问元数据的方式，支持 Hadoop File System、Hive、REST、Glue、DLF 等服务作为 Iceberg 的 Catalog。
Hadoop Catalog
注意：
warehouse的路径必须指向Database路径的上一级。示例：如果你的表路径是：
s3://bucket/path/to/db1/table1，那么warehouse应该是：s3://bucket/path/to/
CREATE CATALOG iceberg_hadoop PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type' = 'hadoop',
'warehouse' = 'hdfs://your-host:8020/dir/key'
);
CREATE CATALOG iceberg_hadoop_ha PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type' = 'hadoop',
'warehouse' = 'hdfs://your-nameservice/dir/key',
'dfs.nameservices'='your-nameservice',
'dfs.ha.namenodes.your-nameservice'='nn1,nn2',
'dfs.namenode.rpc-address.your-nameservice.nn1'='172.21.0.2:4007',
'dfs.namenode.rpc-address.your-nameservice.nn2'='172.21.0.3:4007',
'dfs.client.failover.proxy.provider.your-nameservice'='org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider'
);
CREATE CATALOG iceberg_s3 PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type' = 'hadoop',
'warehouse' = 's3://bucket/dir/key',
's3.endpoint' = 's3.us-east-1.amazonaws.com',
's3.access_key' = 'ak',
's3.secret_key' = 'sk'
);Hive Metastore
CREATE CATALOG iceberg PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type'='hms',
'hive.metastore.uris' = 'thrift://172.21.0.1:7004',
'hadoop.username' = 'hive',
'dfs.nameservices'='your-nameservice',
'dfs.ha.namenodes.your-nameservice'='nn1,nn2',
'dfs.namenode.rpc-address.your-nameservice.nn1'='172.21.0.2:4007',
'dfs.namenode.rpc-address.your-nameservice.nn2'='172.21.0.3:4007',
'dfs.client.failover.proxy.provider.your-nameservice'='org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider'
);AWS Glue
连接 Glue 时，如果是在非 EC2 环境，需要将 EC2 环境里的
~/.aws目录拷贝到当前环境里。也可以下载AWS Cli工具进行配置，这种方式也会在当前用户目录下创建.aws目录。 请升级到 Doris 2.1.7 或 3.0.3 之后的版本使用该功能。
-- Using access key and secret key
CREATE CATALOG glue2 PROPERTIES (
"type"="iceberg",
"iceberg.catalog.type" = "glue",
"glue.endpoint" = "https://glue.us-east-1.amazonaws.com/",
"client.credentials-provider" = "com.amazonaws.glue.catalog.credentials.ConfigAWSProvider",
"client.credentials-provider.glue.access_key" = "ak",
"client.credentials-provider.glue.secret_key" = "sk"
);-
Iceberg 属性详情参见 Iceberg Glue Catalog
-
如果不指定
client.credentials-provider，Doris 就会使用默认的 DefaultAWSCredentialsProviderChain，它会读取系统环境变量或者 InstanceProfile 中配置的属性。
阿里云 DLF
REST Catalog
该方式需要预先提供 REST 服务，用户需实现获取 Iceberg 元数据的 REST 接口。
CREATE CATALOG iceberg PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type'='rest',
'uri' = 'http://172.21.0.1:8181'
);如果使用 HDFS 存储数据，并开启了高可用模式，还需在 Catalog 中增加 HDFS 高可用配置：
CREATE CATALOG iceberg PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type'='rest',
'uri' = 'http://172.21.0.1:8181',
'dfs.nameservices'='your-nameservice',
'dfs.ha.namenodes.your-nameservice'='nn1,nn2',
'dfs.namenode.rpc-address.your-nameservice.nn1'='172.21.0.1:8020',
'dfs.namenode.rpc-address.your-nameservice.nn2'='172.21.0.2:8020',
'dfs.client.failover.proxy.provider.your-nameservice'='org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider'
);Google Dataproc Metastore
CREATE CATALOG iceberg PROPERTIES (
"type"="iceberg",
"iceberg.catalog.type"="hms",
"hive.metastore.uris" = "thrift://172.21.0.1:9083",
"gs.endpoint" = "https://storage.googleapis.com",
"gs.region" = "us-east-1",
"gs.access_key" = "ak",
"gs.secret_key" = "sk",
"use_path_style" = "true"
);hive.metastore.uris: Dataproc Metastore 服务开放的接口，在 Metastore 管理页面获取：Dataproc Metastore Services.
Iceberg On Object Storage
若数据存放在 S3 上，properties 中可以使用以下参数：
"s3.access_key" = "ak"
"s3.secret_key" = "sk"
"s3.endpoint" = "s3.us-east-1.amazonaws.com"
"s3.region" = "us-east-1"数据存放在阿里云 OSS 上：
"oss.access_key" = "ak"
"oss.secret_key" = "sk"
"oss.endpoint" = "oss-cn-beijing-internal.aliyuncs.com"
"oss.region" = "oss-cn-beijing"数据存放在腾讯云 COS 上：
"cos.access_key" = "ak"
"cos.secret_key" = "sk"
"cos.endpoint" = "cos.ap-beijing.myqcloud.com"
"cos.region" = "ap-beijing"数据存放在华为云 OBS 上：
"obs.access_key" = "ak"
"obs.secret_key" = "sk"
"obs.endpoint" = "obs.cn-north-4.myhuaweicloud.com"
"obs.region" = "cn-north-4"示例
-- MinIO & Rest Catalog
CREATE CATALOG `iceberg` PROPERTIES (
"type" = "iceberg",
"iceberg.catalog.type" = "rest",
"uri" = "http://10.0.0.1:8181",
"warehouse" = "s3://bucket",
"token" = "token123456",
"s3.access_key" = "ak",
"s3.secret_key" = "sk",
"s3.endpoint" = "http://10.0.0.1:9000",
"s3.region" = "us-east-1"
);列类型映射
| Iceberg Type | Doris Type |
|---|---|
| boolean | boolean |
| int | int |
| long | bigint |
| float | float |
| double | double |
| decimal(p,s) | decimal(p,s) |
| date | date |
| uuid | string |
| timestamp (Timestamp without timezone) | datetime(6) |
| timestamptz (Timestamp with timezone) | datetime(6) |
| string | string |
| fixed(L) | char(L) |
| binary | string |
| struct | struct（2.1.3 版本开始支持） |
| map | map（2.1.3 版本开始支持） |
| list | array |
| time | 不支持 |
Time Travel
支持读取 Iceberg 表指定的 Snapshot。
每一次对 iceberg 表的写操作都会产生一个新的快照。
默认情况下，读取请求只会读取最新版本的快照。
可以使用 FOR TIME AS OF 和 FOR VERSION AS OF 语句，根据快照 ID 或者快照产生的时间读取历史版本的数据。示例如下：
SELECT * FROM iceberg_tbl FOR TIME AS OF "2022-10-07 17:20:37";
SELECT * FROM iceberg_tbl FOR VERSION AS OF 868895038966572;
另外，可以使用 iceberg_meta 表函数查询指定表的 snapshot 信息。