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  1. Rasgo Graveyard
  2. All Transforms

Join

Join a dataset with another dataset, by matching on one or more columns between the two tables.

If you pass a join_prefix, all column names in the join table will be named "{join_prefix}_{columnname}". If you don't pass a join_prefix, columns that share the same name in both tables will be only have the column from the base table included in the final output.

Parameters

Name
Type
Description
Is Optional

join_table

table

Dataset object to join with the source dataset.

join_type

join_type

LEFT, RIGHT, or INNER

join_columns

join_dict

Columns to use for the join. Keys are columns in the source_table and values are on columns in the join_table.

join_prefix

value

Prefix all columns in the join_table with a string to differentiate them

True

filters

filter_list

Filter logic on one or more columns. Can choose between a simple comparison filter or advanced filter using free text.

True

Example

internet_sales = rasgo.get.dataset(74)
product = rasgo.get.dataset(75)

ds2 = internet_sales.join(
  join_table=product,
  join_columns={'PRODUCTKEY':'PRODUCTKEY'},
  join_type='LEFT',
  join_prefix='product',
  filters=['CUSTOMERKEY IS NOT NULL', 'ORDERDATE < CURRENT_DATE()'])

ds2.preview()

Source Code

PreviousIf ThenNextJoins

Last updated 2 years ago

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