WebAug 11, 2024 · I am currently using Alteryx Designer 2024.4 and modifying existing workflow which outputs to Tableau Hyper db. The field with Data Type Double was created as Text in Hyper db. Is this a known issue? Please suggest any viable workarounds as the field cannot be used as a Measure in Tableau without conversion. Much appreciated. WebSep 4, 2024 · The double type represents decimal numbers. In this dataset, the quantity of product sold is a whole number, and would be better represented as an integer data type. This would be make the data model more efficient as integers take up less space than doubles, which can be an important consideration if your data model is large.
Double data type outputs to Text in Tableau Hyper db
WebJul 6, 2024 · As an example when I have .2121 in Excel this comes into Alteryx as a double with the value .21210000000000001. The 000000001 is not in the Excel file. Thanks, Michael. Reply. 0. 0 Likes Share. CharuGupta. ... As far as I know, alteryx determines the data type based on the input and we can change the data type using Auto field or … WebBoolean type HLLSKETCH type SUPER type VARBYTE type Type compatibility and conversion Each value that Amazon Redshift stores or retrieves has a data type with a fixed set of associated properties. Data types are declared when tables are created. A data type constrains the set of values that a column or argument can contain. heart google+
Solved: Concatenating Currency Symbol with Double Type Val... - Alteryx …
Web7 rows · A standard double precision floating point value. It uses 8 bytes, and can represent values from ... Web- Double clicking a tool in the tool palette Select all of the values that are included in a data stream's metadata in designer Type, size, source, name A column's datatype can change in the course of a workflow True The Input data tool can only connect to files False Students also viewed Alteryx Core Certification 39 terms Alteryx Designer Core WebNov 19, 2024 · Double is the correct format. The errors that are being thrown indicate that there may be some funny looking data in those columns somewhere. Try the following in a filter tool REGEX_CountMatches ( [Field1] ,' [ [:alpha:]] ') > 0 REGEX_CountMatches ( ReplaceChar ( [ Field1 ], '-.', '' ), ' [ [:punct:]]' )>0 heart got teeth