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Doris

Doris source connector

Support Those Engines​

Spark
Flink
SeaTunnel Zeta

Key features​

Description​

Used to read data from Apache Doris.

Supported DataSource Info​

DatasourceSupported versionsDriverUrlMaven
DorisOnly Doris2.0 or later is supported.---

Data Type Mapping​

Doris Data typeSeaTunnel Data type
INTINT
TINYINTTINYINT
SMALLINTSMALLINT
BIGINTBIGINT
LARGEINTSTRING
BOOLEANBOOLEAN
DECIMALDECIMAL((Get the designated column's specified column size)+1,
(Gets the designated column's number of digits to right of the decimal point.)))
FLOATFLOAT
DOUBLEDOUBLE
CHAR
VARCHAR
STRING
TEXT
STRING
DATEDATE
DATETIME
DATETIME(p)
TIMESTAMP
ARRAYARRAY

Source Options​

Base configuration:

NameTypeRequiredDefaultDescription
fenodesstringyes-FE address, the format is "fe_host:fe_http_port"
usernamestringyes-User username
passwordstringyes-User password
doris.request.retriesintno3Number of retries to send requests to Doris FE.
doris.request.read.timeout.msintno30000
doris.request.connect.timeout.msintno30000
query-portstringno9030Doris QueryPort
doris.request.query.timeout.sintno3600Timeout period of Doris scan data, expressed in seconds.
table_liststringåĻ-table list

Table list configuration:

NameTypeRequiredDefaultDescription
databasestringyes-The name of Doris database
tablestringyes-The name of Doris table
doris.read.fieldstringno-Use the 'doris.read.field' parameter to select the doris table columns to read
doris.filter.querystringno-Data filtering in doris. the format is "field = value",example : doris.filter.query = "F_ID > 2"
doris.batch.sizeintno1024The maximum value that can be obtained by reading Doris BE once.
doris.exec.mem.limitlongno2147483648Maximum memory that can be used by a single be scan request. The default memory is 2G (2147483648).

Note: When this configuration corresponds to a single table, you can flatten the configuration items in table_list to the outer layer.

Tips​

It is not recommended to modify advanced parameters at will

Example​

single table​

This is an example of reading a Doris table and writing to Console.

env {
parallelism = 2
job.mode = "BATCH"
}
source{
Doris {
fenodes = "doris_e2e:8030"
username = root
password = ""
database = "e2e_source"
table = "doris_e2e_table"
}
}

transform {
# If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
# please go to https://seatunnel.apache.org/docs/transform/sql
}

sink {
Console {}
}

Use the 'doris.read.field' parameter to select the doris table columns to read

env {
parallelism = 2
job.mode = "BATCH"
}
source{
Doris {
fenodes = "doris_e2e:8030"
username = root
password = ""
database = "e2e_source"
table = "doris_e2e_table"
doris.read.field = "F_ID,F_INT,F_BIGINT,F_TINYINT,F_SMALLINT"
}
}

transform {
# If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
# please go to https://seatunnel.apache.org/docs/transform/sql
}

sink {
Console {}
}

Use 'doris.filter.query' to filter the data, and the parameter values are passed directly to doris

env {
parallelism = 2
job.mode = "BATCH"
}
source{
Doris {
fenodes = "doris_e2e:8030"
username = root
password = ""
database = "e2e_source"
table = "doris_e2e_table"
doris.filter.query = "F_ID > 2"
}
}

transform {
# If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
# please go to https://seatunnel.apache.org/docs/transform/sql
}

sink {
Console {}
}

Multiple table​

env{
parallelism = 1
job.mode = "BATCH"
}

source{
Doris {
fenodes = "xxxx:8030"
username = root
password = ""
table_list = [
{
database = "st_source_0"
table = "doris_table_0"
doris.read.field = "F_ID,F_INT,F_BIGINT,F_TINYINT"
doris.filter.query = "F_ID >= 50"
},
{
database = "st_source_1"
table = "doris_table_1"
}
]
}
}

transform {}

sink{
Doris {
fenodes = "xxxx:8030"
schema_save_mode = "RECREATE_SCHEMA"
username = root
password = ""
database = "st_sink"
table = "${table_name}"
sink.enable-2pc = "true"
sink.label-prefix = "test_json"
doris.config = {
format="json"
read_json_by_line="true"
}
}
}