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      DateTime Transform Overview
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      Contents

      DateTime Transform Overview

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      Article summary

      Date Transform Functions

      Functions that operate on DateTime fields and that manipulate hours, minutes and seconds

      Purpose

      Use Date Transform functions to:
      • Manipulate hours, minutes and seconds in a datetime field
      • Calculate elapsed time in hours, minutes and seconds
      • Segment data into hours, minutes and seconds

      Return Value

      PropertyValueNotes
      FieldTypeIntegerDatetime transforms return integer fields.
      FieldSizeLow / Med / High Low - up to 250 unique values
      Med - Up to 65,630 unique values
      High  - up to 1,000,000 unique values
      DataTypeDiscrete / ContinuusDateTime transformscan be discrete or continuous
      DataSizeShort / Integer Short - Up to 65,630 unique values

       Parameters

      ParameterJSONDescription
      Table“targetTable”: “MyTableName”The target table on which the new field will be created
      Filter“dataset”: {DataSet_JSON}Optional.   If a filter is applied, records not in the filter recordset will be returned as null.
      Date Function“p1”: “”Select the DateTime Transform function from the drop-down list.
      Specifies the function to use.
      A - C
      		“p2-4”: “NumericFieldName”
      “p2-4”: “#YYYY-MM-DD”
      “p2-4”: “#YYYY-MM-DD HH:MM:SS”
      “p2-4”: “#N*”
      		Fields/Inputs to use for A-C.  The date from which to extract the hour, minute and second
      Supports:  
      • DataType: Discrete / Continuous
      • Field Type:  DateTime
      • Fixed Value:  #YYYY-MM-DD HH:MM:SS,    e.g. #2021-04-05 11:01:08
      • Fixed Value:  #NN,    e.g. #10
      Name"name" : "FieldName"Required.   The name of the field to create.  

      JSON Sample

      {
  "method": "BuildBakedField",
  "targetTable": "PA_All",
  "name": "ElapsedSecs",
  "function": "datetimetransform",
  "p1": "SECSDIFF(A,B)",
  "p2": "#2020-11-03 19:39:48",
  "p3": "TimeStamp",
  "project": "Election5"
}





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