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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.

NameTypeRequiredDefaultDescription
plugin_inputStringNo-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 and plugin_output for connector. If the number of any operator in source, transform and sink is greater than 1, you must specify the plugin_input and plugin_output for each connector in the job.