Sink Common Options
Common parameters of sink connectors
:::warn
The old configuration name source_table_name
is deprecated, please migrate to the new name plugin_input
as soon as possible.
:::
Name | Type | Required | Default | Description |
---|---|---|---|---|
plugin_input | String | No | - | When plugin_input is not specified, the current plug-in processes the data set dataset output by the previous plugin in the configuration file When plugin_input is specified, the current plug-in is processing the data set corresponding to this parameter. |
Important note
When the job configuration plugin_input
you must set the plugin_output
parameter
Task Example
Simple:
This is the process of passing a data source through two transforms and returning two different pipiles to different sinks
source {
FakeSourceStream {
parallelism = 2
plugin_output = "fake"
field_name = "name,age"
}
}
transform {
Filter {
plugin_input = "fake"
fields = [name]
plugin_output = "fake_name"
}
Filter {
plugin_input = "fake"
fields = [age]
plugin_output = "fake_age"
}
}
sink {
Console {
plugin_input = "fake_name"
}
Console {
plugin_input = "fake_age"
}
}
If the job only have one source and one(or zero) transform and one sink, You do not need to specify
plugin_input
andplugin_output
for connector. If the number of any operator in source, transform and sink is greater than 1, you must specify theplugin_input
andplugin_output
for each connector in the job.