Cross Join of Two Tables

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# Project Name - CROSS JOIN OF TWO TABLES

# Recipe URL - https://app.lingk.io/a/10932/tf/17852

# Description - # This recipe executes a Cross JOIN between two tables. Warning: cross joins can be very slow and should only be used when absolutely necessary. 
                # To run this recipe, click the Run button.

# Industry - Higher Ed
# Business Process - Graduate Reporting

# Systems - 
# Connectors - JSON
# Data Flows - Single Direction
# Connection Type - JSON

# Add Recipe notes / Change log information here!

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#   \_____\___/|_| |_|_| |_|\___|\___|\__\___/|_|  |___/
#

# CONNECTORS specify what data will be pulled into the in-memory database during processing

connectors:

# JSON Setup - https://help.lingk.io/en/articles/74-json-connector-reference

###### Start: JSON Connectors #######
-
    name: sourceLeadData
    type: json
    properties:
      jsonObject: >
       [
         { "leadId": "1", "firstName": "John", "lastName": "Thomas", "leadScore": 88 },
         { "leadId": "2", "firstName": "Anne", "lastName": "Jacobs", "leadScore": 32 }
       ]
-
    name: dates
    type: json
    properties:
      jsonObject: >
       [
         { "date": "12/10/2016" },
         { "date": "2/11/2019" }
       ]

###### End: JSON Connectors #######

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#   ____) | || (_| | ||  __/ | | | | |  __/ | | | |_\__ \
#  |_____/ \__\__,_|\__\___|_| |_| |_|\___|_| |_|\__|___/

# STATEMENTS specify how the data should be processed while in memory

statements:

#******************************************************************** D I S C L A I M E R ***********************************************************************************************
#                                                                                                                                                                                       * 
# Note that in an effort to keep recipes optimized for DPH (Data Processing Hours), print statements should be commented out after development has concluded for a recipe.              *
# For more information on DPH optimization, please visit the following help article - https://help.lingk.io/en/articles/212-minimizing-data-processing-hours-on-the-lingk-platform      *
#                                                                                                                                                                                       * 
#******************************************************************** D I S C L A I M E R ***********************************************************************************************

# NOTE: You can add trasformations into your
  - statement: |
      (transformedData) => select
              sourceLeadData.*,
              dates.*
              FROM sourceLeadData CROSS JOIN
              dates
  #- statement: print transformedData

# count the data
  - statement: (dataCount) => select count(*) from transformedData
  #- statement: print dataCount

# Add more statements to convert, join, aggregrate, transform, and integrate your data