⭐️
Doris
Doris sink connector
Support Those Engines
Spark
Flink
SeaTunnel Zeta
Key Features
Description
Used to send data to Doris. Both support streaming and batch mode. The internal implementation of Doris sink connector is cached and imported by stream load in batches.
Supported DataSource Info
提示
Version Supported
- exactly-once & cdc supported
Doris version is >= 1.1.x - Array data type supported
Doris version is >= 1.2.x - Map data type will be support in
Doris version is 2.x
Sink Options
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| fenodes | String | Yes | - | Doris cluster fenodes address, the format is "fe_ip:fe_http_port, ..." |
| username | String | Yes | - | Doris user username |
| password | String | Yes | - | Doris user password |
| table.identifier | String | Yes | - | The name of Doris table |
| sink.label-prefix | String | Yes | - | The label prefix used by stream load imports. In the 2pc scenario, global uniqueness is required to ensure the EOS semantics of SeaTunnel. |
| sink.enable-2pc | bool | No | - | Whether to enable two-phase commit (2pc), the default is true, to ensure Exactly-Once semantics. For two-phase commit, please refer to here. |
| sink.enable-delete | bool | No | - | Whether to enable deletion. This option requires Doris table to enable batch delete function (0.15+ version is enabled by default), and only supports Unique model. you can get more detail at this link |
| sink.check-interval | int | No | 10000 | check exception with the interval while loading |
| sink.max-retries | int | No | 3 | the max retry times if writing records to database failed |
| sink.buffer-size | int | No | 256 * 1024 | the buffer size to cache data for stream load. |
| sink.buffer-count | int | No | 3 | the buffer count to cache data for stream load. |
| doris.config | map | yes | - | This option is used to support operations such as insert, delete, and update when automatically generate sql,and supported formats. |
Data Type Mapping
| Doris Data type | SeaTunnel Data type |
|---|---|
| BOOLEAN | BOOLEAN |
| TINYINT | TINYINT |
| SMALLINT | SMALLINT TINYINT |
| INT | INT SMALLINT TINYINT |
| BIGINT | BIGINT INT SMALLINT TINYINT |
| LARGEINT | BIGINT INT SMALLINT TINYINT |
| FLOAT | FLOAT |
| DOUBLE | DOUBLE FLOAT |
| DECIMAL | DECIMAL DOUBLE FLOAT |
| DATE | DATE |
| DATETIME | TIMESTAMP |
| CHAR | STRING |
| VARCHAR | STRING |
| STRING | STRING |
| ARRAY | ARRAY |
| MAP | MAP |
| JSON | STRING |
| HLL | Not supported yet |
| BITMAP | Not supported yet |
| QUANTILE_STATE | Not supported yet |
| STRUCT | Not supported yet |
Supported import data formats
The supported formats include CSV and JSON
Task Example
Simple:
The following example describes writing multiple data types to Doris, and users need to create corresponding tables downstream
env {
parallelism = 1
job.mode = "BATCH"
checkpoint.interval = 10000
}
source {
FakeSource {
row.num = 10
map.size = 10
array.size = 10
bytes.length = 10
string.length = 10
schema = {
fields {
c_map = "map<string, array<int>>"
c_array = "array<int>"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_decimal = "decimal(16, 1)"
c_null = "null"
c_bytes = bytes
c_date = date
c_timestamp = timestamp
}
}
}
}
sink {
Doris {
fenodes = "doris_cdc_e2e:8030"
username = root
password = ""
table.identifier = "test.e2e_table_sink"
sink.label-prefix = "test-cdc"
sink.enable-2pc = "true"
sink.enable-delete = "true"
doris.config {
format = "json"
read_json_by_line = "true"
}
}
}
CDC(Change Data Capture) Event:
This example defines a SeaTunnel synchronization task that automatically generates data through FakeSource and sends it to Doris Sink,FakeSource simulates CDC data with schema, score (int type),Doris needs to create a table sink named test.e2e_table_sink and a corresponding table for it.
env {
parallelism = 1
job.mode = "BATCH"
checkpoint.interval = 10000
}
source {
FakeSource {
schema = {
fields {
pk_id = bigint
name = string
score = int
sex = boolean
number = tinyint
height = float
sight = double
create_time = date
update_time = timestamp
}
}
rows = [
{
kind = INSERT
fields = [1, "A", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
},
{
kind = INSERT
fields = [2, "B", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
},
{
kind = INSERT
fields = [3, "C", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
},
{
kind = UPDATE_BEFORE
fields = [1, "A", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
},
{
kind = UPDATE_AFTER
fields = [1, "A_1", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
},
{
kind = DELETE
fields = [2, "B", 100, true, 1, 170.0, 4.3, "2020-02-02", "2020-02-02T02:02:02"]
}
]
}
}
sink {
Doris {
fenodes = "doris_cdc_e2e:8030"
username = root
password = ""
table.identifier = "test.e2e_table_sink"
sink.label-prefix = "test-cdc"
sink.enable-2pc = "true"
sink.enable-delete = "true"
doris.config {
format = "json"
read_json_by_line = "true"
}
}
}
Use JSON format to import data
sink {
Doris {
fenodes = "e2e_dorisdb:8030"
username = root
password = ""
table.identifier = "test.e2e_table_sink"
sink.enable-2pc = "true"
sink.label-prefix = "test_json"
doris.config = {
format="json"
read_json_by_line="true"
}
}
}
Use CSV format to import data
sink {
Doris {
fenodes = "e2e_dorisdb:8030"
username = root
password = ""
table.identifier = "test.e2e_table_sink"
sink.enable-2pc = "true"
sink.label-prefix = "test_csv"
doris.config = {
format = "csv"
column_separator = ","
}
}
}
Changelog
2.3.0-beta 2022-10-20
- Add Doris Sink Connector
Next version
[Improve] Change Doris Config Prefix 3856
[Improve] Refactor some Doris Sink code as well as support 2pc and cdc 4235
提示
PR 4235 is an incompatible modification to PR 3856. Please refer to PR 4235 to use the new Doris connector