This is a process of intermediate conversion between the source and sink terminals,You can use sql statements to smoothly complete the conversion process
Name | Type | Required | Default | Description |
---|---|---|---|---|
result_table_name | String | No | - | When source_table_name is not specified, the current plug-in processes the data set (dataset) output by the previous plug-in in the configuration file; When source_table_name is specified, the current plugin is processing the data set corresponding to this parameter. |
source_table_name | String | No | - | When result_table_name is not specified, the data processed by this plugin will not be registered as a data set that can be directly accessed by other plugins, or called a temporary table (table) ; When result_table_name is specified, the data processed by this plugin will be registered as a data set (dataset) that can be directly accessed by other plugins, or called a temporary table (table) . The dataset registered here can be directly accessed by other plugins by specifying source_table_name . |
This is the process of converting the data source to fake and write it to two different sinks, Detailed reference
transform
env {
job.mode = "BATCH"
}
source {
FakeSource {
result_table_name = "fake"
row.num = 100
schema = {
fields {
id = "int"
name = "string"
age = "int"
c_timestamp = "timestamp"
c_date = "date"
c_map = "map<string, string>"
c_array = "array<int>"
c_decimal = "decimal(30, 8)"
c_row = {
c_row = {
c_int = int
}
}
}
}
}
}
transform {
Sql {
source_table_name = "fake"
result_table_name = "fake1"
# the query table name must same as field 'source_table_name'
query = "select id, regexp_replace(name, '.+', 'b') as name, age+1 as age, pi() as pi, c_timestamp, c_date, c_map, c_array, c_decimal, c_row from fake"
}
# The SQL transform support base function and criteria operation
# But the complex SQL unsupported yet, include: multi source table/rows JOIN and AGGREGATE operation and the like
}
sink {
Console {
source_table_name = "fake1"
}
Console {
source_table_name = "fake"
}
}