Iceberg Catalog
Apache Doris & Iceberg Quick Start
Limitations
- Supports Iceberg V1/V2.
- Supports Position Delete
- Supports Equality Delete since 2.1.3
- Supports Parquet format.
- Supports ORC format since 2.1.3.
Create Catalog
Create Catalog Based on Hive Metastore
It is basically the same as Hive Catalog, and only a simple example is given here. See Hive Catalog for other examples.
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'
);
Create Catalog based on Iceberg API
Use the Iceberg API to access metadata, and support services such as Hadoop File System, Hive, REST, DLF and Glue as Iceberg's Catalog.
Hadoop Catalog
Note: The path of
warehouse
should point to the parent path ofDatabase
level.Eg: If you path is like
s3://bucket/path/to/db1/table1
, thewarehouse
should bes3://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
When connecting Glue, if it's not on the EC2 environment, need copy the
~/.aws
from the EC2 environment to the current environment. And can also download and configure the AWS Cli tools, which also creates the.aws
directory under the current user directory.
CREATE CATALOG glue PROPERTIES (
"type"="iceberg",
"iceberg.catalog.type" = "glue",
"glue.endpoint" = "https://glue.us-east-1.amazonaws.com",
"glue.access_key" = "ak",
"glue.secret_key" = "sk"
);
For Iceberg properties, see Iceberg Glue Catalog.
If you do not fill the credentials(
glue.access_key
andglue.secret_key
) in glue catalog, the default DefaultAWSCredentialsProviderChain will be used, and it will read credentials and the system environment variables or instance profile properties on AWS EC2.
Alibaba Cloud DLF
REST Catalog
This method needs to provide REST services in advance, and users need to implement the REST interface for obtaining Iceberg metadata.
CREATE CATALOG iceberg PROPERTIES (
'type'='iceberg',
'iceberg.catalog.type'='rest',
'uri' = 'http://172.21.0.1:8181'
);
If the data is on HDFS and High Availability (HA) is set up, need to add HA configuration to the Catalog.
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 URI,See in Metastore Services :Dataproc Metastore Services.
Iceberg On Object Storage
If the data is stored on S3, the following parameters can be used in properties:
"s3.access_key" = "ak"
"s3.secret_key" = "sk"
"s3.endpoint" = "s3.us-east-1.amazonaws.com"
"s3.region" = "us-east-1"
The data is stored on Alibaba Cloud OSS:
"oss.access_key" = "ak"
"oss.secret_key" = "sk"
"oss.endpoint" = "oss-cn-beijing-internal.aliyuncs.com"
"oss.region" = "oss-cn-beijing"
The data is stored on Tencent Cloud COS:
"cos.access_key" = "ak"
"cos.secret_key" = "sk"
"cos.endpoint" = "cos.ap-beijing.myqcloud.com"
"cos.region" = "ap-beijing"
The data is stored on Huawei Cloud OBS:
"obs.access_key" = "ak"
"obs.secret_key" = "sk"
"obs.endpoint" = "obs.cn-north-4.myhuaweicloud.com"
"obs.region" = "cn-north-4"
Example
-- 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"
);
Column type mapping
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 (since 2.1.3) |
map | map (since 2.1.3) |
list | array |
time | unsupported |
Time Travel
Supports reading the snapshot specified by the Iceberg table.
Every write operation to the iceberg table will generate a new snapshot.
By default, read requests will only read the latest version of the snapshot.
You can use the FOR TIME AS OF
and FOR VERSION AS OF
statements to read historical versions of data based on the snapshot ID or the time when the snapshot was generated. Examples are as follows:
SELECT * FROM iceberg_tbl FOR TIME AS OF "2022-10-07 17:20:37";
SELECT * FROM iceberg_tbl FOR VERSION AS OF 868895038966572;
In addition, you can use the iceberg_meta table function to query the snapshot information of the specified table.