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Interpreting the type and type name of data formats in QGIS



The 2019 Stack Overflow Developer Survey Results Are InMultiple text formats in a qgis labelHow to change a CSV layer attribute value from text to number - once again?Issues updating field values programmatically for particular field data type on 64bit Windows computer using QGIS 2.8.7layer name duplicated and adds geometry typeWill QGIS 2.99 and QGIS 3.0 always be the same?Raster Calculator QGIS 3.0 , cannot specify output data typeSpecify output data type from TIN interpolationQGIS attribute editing doesn't allow values greater than or equal to 10Limited field type options QGIS 3.4Optimal method to convert raster from 32bit Float to 8bit Byte to reduce file size in QGIS 3



.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








6















I am trying to wrap my head around storing attribute values in the most efficient way for a large shapefile (>1 000 000 records). I have found excellent descriptions of data representations in 8-bit, 16-bit as interger vs. float, etc (e.g. https://www3.ntu.edu.sg/home/ehchua/programming/java/datarepresentation.html). But I can't find the equivalencies between QGIS and standard names for those formats. Furthermore, QGIS uses different terms depending on the function to further complicate things.
Does QGIS only support two integer formats : 32-bit and 64-bit? Are real numbers assigned to Float32 or Float64 based on the length and precision?



Formats that I have found as accessed from Properties and Source fields with the corresponding options from add field are:



  • type/type name, selection from add field


  • double/real, Decimal number (real) with less than 10 digits (32-bit?)


  • double/double, Decimal number (real) with over 11 digits (64-bit?)


  • int/integer, Whole number (integer) (8-bit? 16-bit?)


  • qlonglong/integer64, Whole number (integer64)

enter image description here



enter image description here




Raster format has the following options with fairly straight-forward translations between names and data types:



enter image description here










share|improve this question



















  • 3





    don't use a shapefile for a large dataset! use a GeoPackage and don't worry about the size limits, plus you can add indexes.

    – Ian Turton
    Apr 4 at 16:15






  • 1





    I'm not worried about size limits in this case -- I just want the smallest file possible. With rasters, I have reduced file size from 30MB to 8MB by saving the data type (which was just values from 1 to 10) as 8bit integer vs. 32bit float. Also, GeoPackage has not yet caught on in most circles: my clients will only accept shapefiles. I hope to convince them one by one but it's not a fast turnaround.

    – user3386170
    Apr 4 at 17:17






  • 1





    @IanTurton And regardless of the type of file, choices still need to be made about the data type, which is the point of my question.

    – user3386170
    Apr 4 at 17:30






  • 1





    @user3386170 - In vector formats, real values are seen as double. Float32 or Float64 values are mostly seen in raster formats.

    – Joseph
    Apr 5 at 14:23







  • 1





    @user3386170 - Thanks but I would recommended you post your edition as an answer. If someone has more evidence, they could always post their own answer or comment it on yours :)

    – Joseph
    Apr 5 at 15:17

















6















I am trying to wrap my head around storing attribute values in the most efficient way for a large shapefile (>1 000 000 records). I have found excellent descriptions of data representations in 8-bit, 16-bit as interger vs. float, etc (e.g. https://www3.ntu.edu.sg/home/ehchua/programming/java/datarepresentation.html). But I can't find the equivalencies between QGIS and standard names for those formats. Furthermore, QGIS uses different terms depending on the function to further complicate things.
Does QGIS only support two integer formats : 32-bit and 64-bit? Are real numbers assigned to Float32 or Float64 based on the length and precision?



Formats that I have found as accessed from Properties and Source fields with the corresponding options from add field are:



  • type/type name, selection from add field


  • double/real, Decimal number (real) with less than 10 digits (32-bit?)


  • double/double, Decimal number (real) with over 11 digits (64-bit?)


  • int/integer, Whole number (integer) (8-bit? 16-bit?)


  • qlonglong/integer64, Whole number (integer64)

enter image description here



enter image description here




Raster format has the following options with fairly straight-forward translations between names and data types:



enter image description here










share|improve this question



















  • 3





    don't use a shapefile for a large dataset! use a GeoPackage and don't worry about the size limits, plus you can add indexes.

    – Ian Turton
    Apr 4 at 16:15






  • 1





    I'm not worried about size limits in this case -- I just want the smallest file possible. With rasters, I have reduced file size from 30MB to 8MB by saving the data type (which was just values from 1 to 10) as 8bit integer vs. 32bit float. Also, GeoPackage has not yet caught on in most circles: my clients will only accept shapefiles. I hope to convince them one by one but it's not a fast turnaround.

    – user3386170
    Apr 4 at 17:17






  • 1





    @IanTurton And regardless of the type of file, choices still need to be made about the data type, which is the point of my question.

    – user3386170
    Apr 4 at 17:30






  • 1





    @user3386170 - In vector formats, real values are seen as double. Float32 or Float64 values are mostly seen in raster formats.

    – Joseph
    Apr 5 at 14:23







  • 1





    @user3386170 - Thanks but I would recommended you post your edition as an answer. If someone has more evidence, they could always post their own answer or comment it on yours :)

    – Joseph
    Apr 5 at 15:17













6












6








6


1






I am trying to wrap my head around storing attribute values in the most efficient way for a large shapefile (>1 000 000 records). I have found excellent descriptions of data representations in 8-bit, 16-bit as interger vs. float, etc (e.g. https://www3.ntu.edu.sg/home/ehchua/programming/java/datarepresentation.html). But I can't find the equivalencies between QGIS and standard names for those formats. Furthermore, QGIS uses different terms depending on the function to further complicate things.
Does QGIS only support two integer formats : 32-bit and 64-bit? Are real numbers assigned to Float32 or Float64 based on the length and precision?



Formats that I have found as accessed from Properties and Source fields with the corresponding options from add field are:



  • type/type name, selection from add field


  • double/real, Decimal number (real) with less than 10 digits (32-bit?)


  • double/double, Decimal number (real) with over 11 digits (64-bit?)


  • int/integer, Whole number (integer) (8-bit? 16-bit?)


  • qlonglong/integer64, Whole number (integer64)

enter image description here



enter image description here




Raster format has the following options with fairly straight-forward translations between names and data types:



enter image description here










share|improve this question
















I am trying to wrap my head around storing attribute values in the most efficient way for a large shapefile (>1 000 000 records). I have found excellent descriptions of data representations in 8-bit, 16-bit as interger vs. float, etc (e.g. https://www3.ntu.edu.sg/home/ehchua/programming/java/datarepresentation.html). But I can't find the equivalencies between QGIS and standard names for those formats. Furthermore, QGIS uses different terms depending on the function to further complicate things.
Does QGIS only support two integer formats : 32-bit and 64-bit? Are real numbers assigned to Float32 or Float64 based on the length and precision?



Formats that I have found as accessed from Properties and Source fields with the corresponding options from add field are:



  • type/type name, selection from add field


  • double/real, Decimal number (real) with less than 10 digits (32-bit?)


  • double/double, Decimal number (real) with over 11 digits (64-bit?)


  • int/integer, Whole number (integer) (8-bit? 16-bit?)


  • qlonglong/integer64, Whole number (integer64)

enter image description here



enter image description here




Raster format has the following options with fairly straight-forward translations between names and data types:



enter image description here







qgis qgis-3 format






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Apr 6 at 20:56







user3386170

















asked Apr 4 at 16:13









user3386170user3386170

697622




697622







  • 3





    don't use a shapefile for a large dataset! use a GeoPackage and don't worry about the size limits, plus you can add indexes.

    – Ian Turton
    Apr 4 at 16:15






  • 1





    I'm not worried about size limits in this case -- I just want the smallest file possible. With rasters, I have reduced file size from 30MB to 8MB by saving the data type (which was just values from 1 to 10) as 8bit integer vs. 32bit float. Also, GeoPackage has not yet caught on in most circles: my clients will only accept shapefiles. I hope to convince them one by one but it's not a fast turnaround.

    – user3386170
    Apr 4 at 17:17






  • 1





    @IanTurton And regardless of the type of file, choices still need to be made about the data type, which is the point of my question.

    – user3386170
    Apr 4 at 17:30






  • 1





    @user3386170 - In vector formats, real values are seen as double. Float32 or Float64 values are mostly seen in raster formats.

    – Joseph
    Apr 5 at 14:23







  • 1





    @user3386170 - Thanks but I would recommended you post your edition as an answer. If someone has more evidence, they could always post their own answer or comment it on yours :)

    – Joseph
    Apr 5 at 15:17












  • 3





    don't use a shapefile for a large dataset! use a GeoPackage and don't worry about the size limits, plus you can add indexes.

    – Ian Turton
    Apr 4 at 16:15






  • 1





    I'm not worried about size limits in this case -- I just want the smallest file possible. With rasters, I have reduced file size from 30MB to 8MB by saving the data type (which was just values from 1 to 10) as 8bit integer vs. 32bit float. Also, GeoPackage has not yet caught on in most circles: my clients will only accept shapefiles. I hope to convince them one by one but it's not a fast turnaround.

    – user3386170
    Apr 4 at 17:17






  • 1





    @IanTurton And regardless of the type of file, choices still need to be made about the data type, which is the point of my question.

    – user3386170
    Apr 4 at 17:30






  • 1





    @user3386170 - In vector formats, real values are seen as double. Float32 or Float64 values are mostly seen in raster formats.

    – Joseph
    Apr 5 at 14:23







  • 1





    @user3386170 - Thanks but I would recommended you post your edition as an answer. If someone has more evidence, they could always post their own answer or comment it on yours :)

    – Joseph
    Apr 5 at 15:17







3




3





don't use a shapefile for a large dataset! use a GeoPackage and don't worry about the size limits, plus you can add indexes.

– Ian Turton
Apr 4 at 16:15





don't use a shapefile for a large dataset! use a GeoPackage and don't worry about the size limits, plus you can add indexes.

– Ian Turton
Apr 4 at 16:15




1




1





I'm not worried about size limits in this case -- I just want the smallest file possible. With rasters, I have reduced file size from 30MB to 8MB by saving the data type (which was just values from 1 to 10) as 8bit integer vs. 32bit float. Also, GeoPackage has not yet caught on in most circles: my clients will only accept shapefiles. I hope to convince them one by one but it's not a fast turnaround.

– user3386170
Apr 4 at 17:17





I'm not worried about size limits in this case -- I just want the smallest file possible. With rasters, I have reduced file size from 30MB to 8MB by saving the data type (which was just values from 1 to 10) as 8bit integer vs. 32bit float. Also, GeoPackage has not yet caught on in most circles: my clients will only accept shapefiles. I hope to convince them one by one but it's not a fast turnaround.

– user3386170
Apr 4 at 17:17




1




1





@IanTurton And regardless of the type of file, choices still need to be made about the data type, which is the point of my question.

– user3386170
Apr 4 at 17:30





@IanTurton And regardless of the type of file, choices still need to be made about the data type, which is the point of my question.

– user3386170
Apr 4 at 17:30




1




1





@user3386170 - In vector formats, real values are seen as double. Float32 or Float64 values are mostly seen in raster formats.

– Joseph
Apr 5 at 14:23






@user3386170 - In vector formats, real values are seen as double. Float32 or Float64 values are mostly seen in raster formats.

– Joseph
Apr 5 at 14:23





1




1





@user3386170 - Thanks but I would recommended you post your edition as an answer. If someone has more evidence, they could always post their own answer or comment it on yours :)

– Joseph
Apr 5 at 15:17





@user3386170 - Thanks but I would recommended you post your edition as an answer. If someone has more evidence, they could always post their own answer or comment it on yours :)

– Joseph
Apr 5 at 15:17










1 Answer
1






active

oldest

votes


















1














Thanks to the comments, I have come to understand how data is stored in vector formats (e.g. shapefiles). Most importantly, data values in vector and raster format are stored in completely different ways. Record attribute data is stored in the .dbf file associated with a shapefile uses the standard dbase file storage as explained here:




All fields values occupy the number of bytes specified in the field
length property of their field descriptor.




Each record in each attribute (i.e. each field value) takes up the number of bits/bytes as set by the length of the attribute regardless of the number of characters/numbers in a given entry. The size is the same regardless of whether the entry has digits or letters. The only difference between a decimal and an integer in storage terms is that the "." counts as a character. Unlike raster format, there is not a sudden jump from the amount of space taken up by a number with 4 digits (16-bit) vs. 2 digits, less than 256 (8-bit) nor a difference between float and integer..



Based on the link that Joseph provided, I've made up the following table with the formats as QGIS calls them with the names OGR uses.



QVariant::LongLong -- OFTInteger64 -- ogrWidth 1-21
QVariant::Int -- OFTInteger -- ogrWidth 1-10
QVariant::String -- OFTString -- ogrWidth 1-255
QVariant::Bool -- OFSTBoolean -- ogrWidth = 1
QVariant::Double -- OFTReal -- ?
QVariant::Date -- OFTDate -- ?
QVariant::Time -- OFTTime -- ?
QVariant::DateTime -- OFTDateTime -- ?


Each of the OGR field types is explained here, but mostly intuitive (real is Double Precision floating point and Integer is Simple 32bit integer).



The essentiel element to consider in minimizing the storage size that attribute data uses each to choose the minimum length for each attribute, as QGIS prompts us. So, don't overthink it!






share|improve this answer























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    active

    oldest

    votes









    1














    Thanks to the comments, I have come to understand how data is stored in vector formats (e.g. shapefiles). Most importantly, data values in vector and raster format are stored in completely different ways. Record attribute data is stored in the .dbf file associated with a shapefile uses the standard dbase file storage as explained here:




    All fields values occupy the number of bytes specified in the field
    length property of their field descriptor.




    Each record in each attribute (i.e. each field value) takes up the number of bits/bytes as set by the length of the attribute regardless of the number of characters/numbers in a given entry. The size is the same regardless of whether the entry has digits or letters. The only difference between a decimal and an integer in storage terms is that the "." counts as a character. Unlike raster format, there is not a sudden jump from the amount of space taken up by a number with 4 digits (16-bit) vs. 2 digits, less than 256 (8-bit) nor a difference between float and integer..



    Based on the link that Joseph provided, I've made up the following table with the formats as QGIS calls them with the names OGR uses.



    QVariant::LongLong -- OFTInteger64 -- ogrWidth 1-21
    QVariant::Int -- OFTInteger -- ogrWidth 1-10
    QVariant::String -- OFTString -- ogrWidth 1-255
    QVariant::Bool -- OFSTBoolean -- ogrWidth = 1
    QVariant::Double -- OFTReal -- ?
    QVariant::Date -- OFTDate -- ?
    QVariant::Time -- OFTTime -- ?
    QVariant::DateTime -- OFTDateTime -- ?


    Each of the OGR field types is explained here, but mostly intuitive (real is Double Precision floating point and Integer is Simple 32bit integer).



    The essentiel element to consider in minimizing the storage size that attribute data uses each to choose the minimum length for each attribute, as QGIS prompts us. So, don't overthink it!






    share|improve this answer



























      1














      Thanks to the comments, I have come to understand how data is stored in vector formats (e.g. shapefiles). Most importantly, data values in vector and raster format are stored in completely different ways. Record attribute data is stored in the .dbf file associated with a shapefile uses the standard dbase file storage as explained here:




      All fields values occupy the number of bytes specified in the field
      length property of their field descriptor.




      Each record in each attribute (i.e. each field value) takes up the number of bits/bytes as set by the length of the attribute regardless of the number of characters/numbers in a given entry. The size is the same regardless of whether the entry has digits or letters. The only difference between a decimal and an integer in storage terms is that the "." counts as a character. Unlike raster format, there is not a sudden jump from the amount of space taken up by a number with 4 digits (16-bit) vs. 2 digits, less than 256 (8-bit) nor a difference between float and integer..



      Based on the link that Joseph provided, I've made up the following table with the formats as QGIS calls them with the names OGR uses.



      QVariant::LongLong -- OFTInteger64 -- ogrWidth 1-21
      QVariant::Int -- OFTInteger -- ogrWidth 1-10
      QVariant::String -- OFTString -- ogrWidth 1-255
      QVariant::Bool -- OFSTBoolean -- ogrWidth = 1
      QVariant::Double -- OFTReal -- ?
      QVariant::Date -- OFTDate -- ?
      QVariant::Time -- OFTTime -- ?
      QVariant::DateTime -- OFTDateTime -- ?


      Each of the OGR field types is explained here, but mostly intuitive (real is Double Precision floating point and Integer is Simple 32bit integer).



      The essentiel element to consider in minimizing the storage size that attribute data uses each to choose the minimum length for each attribute, as QGIS prompts us. So, don't overthink it!






      share|improve this answer

























        1












        1








        1







        Thanks to the comments, I have come to understand how data is stored in vector formats (e.g. shapefiles). Most importantly, data values in vector and raster format are stored in completely different ways. Record attribute data is stored in the .dbf file associated with a shapefile uses the standard dbase file storage as explained here:




        All fields values occupy the number of bytes specified in the field
        length property of their field descriptor.




        Each record in each attribute (i.e. each field value) takes up the number of bits/bytes as set by the length of the attribute regardless of the number of characters/numbers in a given entry. The size is the same regardless of whether the entry has digits or letters. The only difference between a decimal and an integer in storage terms is that the "." counts as a character. Unlike raster format, there is not a sudden jump from the amount of space taken up by a number with 4 digits (16-bit) vs. 2 digits, less than 256 (8-bit) nor a difference between float and integer..



        Based on the link that Joseph provided, I've made up the following table with the formats as QGIS calls them with the names OGR uses.



        QVariant::LongLong -- OFTInteger64 -- ogrWidth 1-21
        QVariant::Int -- OFTInteger -- ogrWidth 1-10
        QVariant::String -- OFTString -- ogrWidth 1-255
        QVariant::Bool -- OFSTBoolean -- ogrWidth = 1
        QVariant::Double -- OFTReal -- ?
        QVariant::Date -- OFTDate -- ?
        QVariant::Time -- OFTTime -- ?
        QVariant::DateTime -- OFTDateTime -- ?


        Each of the OGR field types is explained here, but mostly intuitive (real is Double Precision floating point and Integer is Simple 32bit integer).



        The essentiel element to consider in minimizing the storage size that attribute data uses each to choose the minimum length for each attribute, as QGIS prompts us. So, don't overthink it!






        share|improve this answer













        Thanks to the comments, I have come to understand how data is stored in vector formats (e.g. shapefiles). Most importantly, data values in vector and raster format are stored in completely different ways. Record attribute data is stored in the .dbf file associated with a shapefile uses the standard dbase file storage as explained here:




        All fields values occupy the number of bytes specified in the field
        length property of their field descriptor.




        Each record in each attribute (i.e. each field value) takes up the number of bits/bytes as set by the length of the attribute regardless of the number of characters/numbers in a given entry. The size is the same regardless of whether the entry has digits or letters. The only difference between a decimal and an integer in storage terms is that the "." counts as a character. Unlike raster format, there is not a sudden jump from the amount of space taken up by a number with 4 digits (16-bit) vs. 2 digits, less than 256 (8-bit) nor a difference between float and integer..



        Based on the link that Joseph provided, I've made up the following table with the formats as QGIS calls them with the names OGR uses.



        QVariant::LongLong -- OFTInteger64 -- ogrWidth 1-21
        QVariant::Int -- OFTInteger -- ogrWidth 1-10
        QVariant::String -- OFTString -- ogrWidth 1-255
        QVariant::Bool -- OFSTBoolean -- ogrWidth = 1
        QVariant::Double -- OFTReal -- ?
        QVariant::Date -- OFTDate -- ?
        QVariant::Time -- OFTTime -- ?
        QVariant::DateTime -- OFTDateTime -- ?


        Each of the OGR field types is explained here, but mostly intuitive (real is Double Precision floating point and Integer is Simple 32bit integer).



        The essentiel element to consider in minimizing the storage size that attribute data uses each to choose the minimum length for each attribute, as QGIS prompts us. So, don't overthink it!







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Apr 6 at 20:53









        user3386170user3386170

        697622




        697622



























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            Romeo and Juliet ContentsCharactersSynopsisSourcesDate and textThemes and motifsCriticism and interpretationLegacyScene by sceneSee alsoNotes and referencesSourcesExternal linksNavigation menu"Consumer Price Index (estimate) 1800–"10.2307/28710160037-3222287101610.1093/res/II.5.31910.2307/45967845967810.2307/2869925286992510.1525/jams.1982.35.3.03a00050"Dada Masilo: South African dancer who breaks the rules"10.1093/res/os-XV.57.1610.2307/28680942868094"Sweet Sorrow: Mann-Korman's Romeo and Juliet Closes Sept. 5 at MN's Ordway"the original10.2307/45957745957710.1017/CCOL0521570476.009"Ram Leela box office collections hit massive Rs 100 crore, pulverises prediction"Archived"Broadway Revival of Romeo and Juliet, Starring Orlando Bloom and Condola Rashad, Will Close Dec. 8"Archived10.1075/jhp.7.1.04hon"Wherefore art thou, Romeo? To make us laugh at Navy Pier"the original10.1093/gmo/9781561592630.article.O006772"Ram-leela Review Roundup: Critics Hail Film as Best Adaptation of Romeo and Juliet"Archived10.2307/31946310047-77293194631"Romeo and Juliet get Twitter treatment""Juliet's Nurse by Lois Leveen""Romeo and Juliet: Orlando Bloom's Broadway Debut Released in Theaters for Valentine's Day"Archived"Romeo and Juliet Has No Balcony"10.1093/gmo/9781561592630.article.O00778110.2307/2867423286742310.1076/enst.82.2.115.959510.1080/00138380601042675"A plague o' both your houses: error in GCSE exam paper forces apology""Juliet of the Five O'Clock Shadow, and Other Wonders"10.2307/33912430027-4321339124310.2307/28487440038-7134284874410.2307/29123140149-661129123144728341M"Weekender Guide: Shakespeare on The Drive""balcony"UK public library membership"romeo"UK public library membership10.1017/CCOL9780521844291"Post-Zionist Critique on Israel and the Palestinians Part III: Popular Culture"10.2307/25379071533-86140377-919X2537907"Capulets and Montagues: UK exam board admit mixing names up in Romeo and Juliet paper"Istoria Novellamente Ritrovata di Due Nobili Amanti2027/mdp.390150822329610820-750X"GCSE exam error: Board accidentally rewrites Shakespeare"10.2307/29176390149-66112917639"Exam board apologises after error in English GCSE paper which confused characters in Shakespeare's Romeo and Juliet""From Mariotto and Ganozza to Romeo and Guilietta: Metamorphoses of a Renaissance Tale"10.2307/37323537323510.2307/2867455286745510.2307/28678912867891"10 Questions for Taylor Swift"10.2307/28680922868092"Haymarket Theatre""The Zeffirelli Way: Revealing Talk by Florentine Director""Michael Smuin: 1938-2007 / Prolific dance director had showy career"The Life and Art of Edwin BoothRomeo and JulietRomeo and JulietRomeo and JulietRomeo and JulietEasy Read Romeo and JulietRomeo and Julieteeecb12003684p(data)4099369-3n8211610759dbe00d-a9e2-41a3-b2c1-977dd692899302814385X313670221313670221