export_to_bigquery
Export data to a BigQuery Table.
Usage
The following shows how the step can be used in a recipe.
Examples
Examples
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
Dataset to be exported.
Outputs
Outputs
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
ID of the integration you’d like to use.
The name of the table you want to upload data to.
The name of the dataset you want to upload data to.
Values must match the following regex pattern:
The preferred method for handling existing tables.
- ‘Fail’ if there is another table with the same name. The default value is ‘fail’ to prevent you from accidentally losing your data or compromising a table’s structure in your database.
- ‘Replace’ if you want to override the existing table. Keep in mind this option deletes your previous data.
- ‘Append’ if you want to append the dataset’s rows to the table.
Values must be one of the following:
failreplaceappend