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Virtual list using JSON

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On a separate thread I asked Bruce Robertson if the new FM16 JSON functions could be used together with the virtual list technique he created. I haven’t experimented with it but I wonder if JSON adapt well to this great technique. Any thoughts? thanks!

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In theory: yes.  The question will come down to whether the JSON building and parsing functions are faster or slower than the regular text functions I guess.

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Technically, it could be done. As Wim mentioned, performance is a major constraint. The JSON functions are slow compared to the built-in functions for return-delimited lists, and very slow compared to repeating variables.

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Thank you for the responses, I hadn't thought about the speed factor, it makes a lot of sense.

So ... are the JSON functions slow for building or parsing? I haven't tested them with big chunks of text. I see that in the recent FM16 update the speed of the "sort values" and "unique values" functions have been improved. Is the speed of the JSON functions an issue in a similar way? I haven't read anything about it ... any interesting links about this? thanks!

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The JSON functions in FileMaker 16 have constraints the SortValues and UniqueValues do not.

The JSON parsing functions check that the input they're trying to parse is in fact completely valid JSON. FileMaker has to do this to be able to return an error result when appropriate. You can't know if the outer-most structure in a JSON string is correctly terminated without starting at the beginning, checking every inner structure, and getting all the way to the end.  Due to how the JSON format works, this requires stepping through the entire string for every single operation. (This could be resolved by FileMaker using a more efficient internal data structure for JSON in place of the raw string, but performance tests from a few folks suggest that FileMaker isn't doing this.) In comparison, the GetValue function only has to parse as many newline characters as it takes to get to the value you want, and it can ignore everything in a string after that point. With repeating variables, there doesn't need to be any parsing at all (depending on how you do it) — you can just use the whole content of the variable (repetition).

The JSON writing functions have a similar constraint. They validate any JSON you had to start with, and then the JSON writing functions are somewhat fastidious in organizing the contents of their JSON outputs.

You can make parsing nested structures in JSON less slow by parsing out inner structures, then getting the details from the inner structures, rather than pulling from the outer structure for every inner detail. This reduces how much total work FileMaker spends validating the JSON for each read.

When speed is more important than simple code, do this:

Let ( [
    _dictionary0 = JSONGetElement ( $json ; 0 ) ;
    _0a = JSONGetElement ( _dictionary0 ; "a" ) ;
    _0b = JSONGetElement ( _dictionary0 ; "b" ) ;
    
    _dictionary1 = JSONGetElement ( $json ; 1 ) ;
    _1a = JSONGetElement ( _dictionary1 ; "a" ) ;
    _1b = JSONGetElement ( _dictionary1 ; "b" )
] ;
    ...
)

Not this:

Let ( [
    _0a = JSONGetElement ( $json ; "[0].a" ) ;
    _0b = JSONGetElement ( $json ; "[0].b" ) ;
    _1a = JSONGetElement ( $json ; "[1].a" ) ;
    _1b = JSONGetElement ( $json ; "[1].b" )
] ;
    ...
)

And for writing JSON, add as much in each JSONSetElement call as you can, rather than using many separate calls. Do this:

JSONSetElement ( "[]" ;
    [ "[0].a" ; 1 ; JSONNumber ] ;
    [ "[0].b" ; 2 ; JSONNumber ] ;
    [ "[1].a" ; 3 ; JSONNumber ] ;
    [ "[1].b" ; 4 ; JSONNumber ]
)

Not this:

Let ( [
    _json = JSONSetElement ( "[]" ; "[0].a" ; 1 ; JSONNumber ) ;
    _json = JSONSetElement ( _json ; "[0].b" ; 2 ; JSONNumber ) ;
    _json = JSONSetElement ( _json ; "[1].a" ; 3 ; JSONNumber ) ;
    _json = JSONSetElement ( _json ; "[1].b" ; 4 ; JSONNumber )
] ;
    ...
)

While these patterns make FileMaker's JSON functions less slow, it isn't enough to make them competitive with return-delimited lists or repeating variables for speed.

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That's some great information to take into account, thank you!!

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Jeremy, have you tested against the 16.0.2 update?? `does it improve speed??

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A couple things that come to mind if you go down this path...there is a limit to how many variables you can set with a Let statement, 1000. And if you use the "JSONFormatElements" function, it may re-sort your data unexpectedly. I would consider JSON for passing variables, possibly, over using for virtual lists.

Mike

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On 7/15/2017 at 11:39 PM, john renfrew said:

Jeremy, have you tested against the 16.0.2 update?? `does it improve speed??

I have now. The 16.0.2 update does not change the performance characteristics of the JSON functions relative to return-delimited lists or repeating variables.

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Thanks Jeremy..

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Posted (edited)

I did not attend Devcon this year. But I see that Kevin Frank posted the following comment recently on a different list.

And actually - even elsewhere in this forum. But I thought it might be good to add his comment within this thread. Anyway, quoting him:

Quote

One nice thing about FileMaker being on a yearly release cycle is that there is always something new to learn and write about… and, having just attended a couple highly informative sessions on the topic of JSON (JavaScript Object Notation) at Devcon 2017 — thank you Todd Geist and Anders Monsen — it is clear to me that JSON + virtual list is a compelling combination.

https://filemakerhacks.com/2017/07/27/json-virtual-list/
 

Edited by BruceR
clarification and attribution
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Hey Bruce,

Kevin also posted the link here.

Lee

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      {"ShipmentResponse":{"Response":{"ResponseStatus":{"Code":"1", "Description":"Success"}, "TransactionReference":""}, "ShipmentResults":{"ShipmentCharges":{"TransportationCharges":{"CurrencyCode":"USD", "MonetaryValue":"112.19"}, "ServiceOptionsCharges":{"CurrencyCode":"USD", "MonetaryValue":"0.00"}, "TotalCharges":{"CurrencyCode":"USD", "MonetaryValue":"112.19"}}, "NegotiatedRateCharges":{"TotalCharge":{"CurrencyCode":"USD", "MonetaryValue":"111.07"}}, "BillingWeight":{"UnitOfMeasurement":{"Code":"LBS", "Description":"Pounds"}, "Weight":"10.0"}, "ShipmentIdentificationNumber":"1Z22VA000197219429", "PackageResults":{"TrackingNumber":"1Z22VA000197219429", "ServiceOptionsCharges":{"CurrencyCode":"USD", "MonetaryValue":"0.00"}, "ShippingLabel":{"ImageFormat":{"Code":"GIF", "Description":"GIF"}, "GraphicImage":"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", 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      ups_response_json.txt
    • By Ronji
      Hi Guys

      Thank you to Richard Carlton for his video on integrating Zippapotamus with Filemaker and the zipcode lookup. In Australia you can have multiple cities for a zipcode and the parsing code is pulling out the first entry and I would like to populated a value list if more than 1 is returned?
      A scriptParameter is sending this: "place name"  &¶& $JSONdata
      to:
      Let (     ~startPosition = Position ( $JSONdata ; Quote ( $valueName ) ; 1 ; 1 ) + Length ( $valueName ) + 1 ;     Middle ( $JSONdata ; ~startPosition ; Position ( $JSONdata ; "\"" ; ~startPosition ; 1 ) - ~startPosition ) )
      Here is the JSON data

      {"post code": "4220", "country": "Australia", "country abbreviation": "AU", "places": [{"place name": "Burleigh Heads", "longitude": "153.45", "state": "Queensland", "state abbreviation": "QLD", "latitude": "-28.1"}, {"place name": "Burleigh Waters", "longitude": "153.4341", "state": "Queensland", "state abbreviation": "QLD", "latitude": "-28.0895"}, {"place name": "Burleigh Town", "longitude": "153.4341", "state": "Queensland", "state abbreviation": "QLD", "latitude": "-28.0895"}, {"place name": "Miami", "longitude": "153.4341", "state": "Queensland", "state abbreviation": "QLD", "latitude": "-28.0895"}]}
      Only the first "Place name" is being returned. Thank you in advance. Ron
    • By Richard Carlton
       
      Setting Tax Rates in FM Starting Point | FMSP Videos | FileMaker 16 101 Training
      https://www.youtube.com/watch?v=uuV9jKW0TH8
      Most Recent Upload https://goo.gl/Dbn9fm
      Get up to speed with the FileMaker Pro 16 Video Training Course! 
      Top Rated Course by FileMaker Expert, Richard Carlton.  
      http://learningfilemaker.com/fmpro16.php
      Experience Richard's dynamic and exciting teaching format, while learning both basic, intermediate, and advanced FileMaker development skills. With 26 years of FileMaker experience and a long time speaker at FileMaker's Developer Conference, Richard will teach you all the ins and outs of building FileMaker Solutions.  
      The course is 50 hours of video content!
      Richard has been involved with the FileMaker platform since 1990 and has grown RCC into one of the largest top tier FileMaker consultancies worldwide. 
      Richard works closely with RCC's staff: a team of 28 FileMaker developers and supporting web designers. 
      He has offices in California, Nevada, and Texas.

      Richard has been a frequent speaker at the FileMaker Developers Conference on a variety of topics involving FileMaker for Startups and Entrepreneurs, and client-server integration.

      Richard is the Product Manager for FM Starting Point, the popular and most downloaded free FileMaker CRM Starter Solution.
      Looking for FM Starting Point free software download: http://www.fmstartingpoint.com
      Richard won 2015 Excellence Award from FileMaker Inc (Apple Inc) for outstanding video and product creation, leading to business development.

      RCC, Filemaker Videos, and LearningFileMaker.com are headquartered in Santa Clara, CA.
      http://www.rcconsulting.com/
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      Top 10 New Features in FileMaker 16-FileMaker 16 News-FileMaker 16 Instructional Videos-FileMaker 16
      https://www.youtube.com/watch?v=urh8iHOCxkg
      Playlist https://www.youtube.com/watch?v=urh8iHOCxkg&t=130s&index=1&list=PLjTvUZtwtgBTMCfjM6LLwBAwGf_yXfvd_
      Sharing your Database with Other Devices and Users-FileMaker 16 News-FileMaker 16 Database Sharing
      https://www.youtube.com/watch?v=GF82vkYtCtA
      Playlist https://www.youtube.com/watch?v=GF82vkYtCtA&index=8&list=PLjTvUZtwtgBTMCfjM6LLwBAwGf_yXfvd_
      Introduction to FileMaker WebDirect 16-FileMaker 16 News-Online FileMaker 16 Training Videos
      https://www.youtube.com/watch?v=uaZKIpBjMAM
      Playlist https://www.youtube.com/watch?v=uaZKIpBjMAM&list=PLjTvUZtwtgBSVV1-4pFG4SHAhCIP3Yy-I&index=17&t=10s
      FileMaker Behavior Change-Go To Object-FileMaker 16 Video Training-FileMaker 16 News-FileMaker Video
      https://www.youtube.com/watch?v=MFwFjZem3AM
      Playlist https://www.youtube.com/watch?v=MFwFjZem3AM&index=15&list=PLjTvUZtwtgBQVDIUvoRkcvrMLi7sTZmj5
      A database management system (DBMS) is a computer software application that interacts with the user, other applications, and the database itself to capture and analyze data
       
      Official site provides the SDK, Developer's Guide, Reference, and Android Market for the open source project
      http://learningfilemaker.com/FIAS.html
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      Download FileMaker 16 Full Video Training Bundle at http://learningfilemaker.com/subscription.php
      FileMaker Video Training Review-FileMaker 16 Video Course Review-FileMaker Pro 16 101 Course Review
      https://www.youtube.com/watch?v=mF6Uor0KmKo
      Playlist https://www.youtube.com/watch?v=mF6Uor0KmKo&list=PLjTvUZtwtgBT8tNHuzF6cOKC_37zCTQl6&index=18
      Use FileMaker to create an app with the FileMaker Training Series
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      https://www.youtube.com/watch?v=uuV9jKW0TH8&index=53&list=PLjTvUZtwtgBTMCfjM6LLwBAwGf_yXfvd_
      http://feeds.feedburner.com/SettingTaxRatesInFmStartingPointFmspVideosFilemaker16101Training
    • By crayfish
      I've been using Daniel Smith's JSON scripts from (http://www.modularfilemaker.org/module/json/) to parse JSON.
      It's worked quite reliably (thanks Daniel!), but I'm wondering if anyone has compared its parsing speed to MBS's JSON plugin or the new native Filemaker 16 JSON functions? I'm still on 15. I'm working with some larger JSON files that are taking a long time to parse and hoping for a faster solution.
      Any data on which option parses JSON fastest? Any disadvantages/advantages to each option?
      Thanks!
    • By 357manch
      With the introduction of cURL options in FM16's Insert from URL script step I've been investigating the possibility of being able to save a copy of my FM solution directly to my Dropbox folder using the https://content.dropboxapi.com/2/files/upload element from Dropbox V2 API.
       
      I've successfully created the access token to pass through as part of this step and the Insert from URL script step successfully creates the stated folder and file in my Dropbox.  However, the file size is always 0 bytes.  I've tried 2 different methods
       
      METHOD 1
      #Export a compacted copy of this file to Temporary Folder
      Set Variable [ $file_path ; Get ( TemporaryPath ) & "Solution.fmp12" ]
      Save a Copy as [ "$file_path" ; compacted ]
       
      #Set my cURL options to variable
      Set Variable [ $curl_header ;
      "curl -X POST https://content.dropboxapi.com/2/files/upload \\" & ¶ &
      "--header \"Authorization: Bearer " & PREFERENCES::Dropbox_AccessToken & "\"  \\" & ¶ &
      "--header \"Dropbox-API-Arg: {\\\"path\\\": \\\"/DB2FM/Solution.fmp12\\\"}\" \\" & ¶ &
      "--header \"Content-Type: application/octet-stream\" \\" & ¶ &
      "--data-binary @" & $file_path ]
       
      #Dropbox URL
      Set Variable [ $dropbox_url ; "https://content.dropboxapi.com/2/files/upload" ]
       
      #Make Request - Set to variable adn then format to JSON field
      Insert from URL [ Verify SSL Certificates ; With dialog: Off ; $json ; $dropbox_url ; cURL options: $curl_header ]
      Set Field [ PREFERENCES:Dropbox_JSON ; JSONFormatElements ( $json ) ]
       
       
       
      METHOD 2
      #Export a compacted copy of this file to Temporary Folder and then import to a container field
      Set Variable [ $file_path ; Get ( TemporaryPath ) & "Solution.fmp12" ]  //note1
      Save a Copy as [ "$file_path" ; compacted ]  //note1
      Insert File [ PREFERENCES::Container ; "$file_path" ]  //note1
      #Set variable following instructions on FileMaker website which states:
      #  -  Direct file access is replaced with a FileMaker variable prefixed by the @ character.
      #  -  To access a file, you can set the variable to a container field, which contains the file, then use that variable as the parameter of the cURL option.
      Set Variable [ $container_path ; PREFERENCES::Container ]
       
      #Set my cURL options to variable
      Set Variable [ $curl_header ; 
      "curl -X POST https://content.dropboxapi.com/2/files/upload \\" & ¶ &
      "--header \"Authorization: Bearer " & PREFERENCES::Dropbox_AccessToken & "\"  \\" & ¶ &
      "--header \"Dropbox-API-Arg: {\\\"path\\\": \\\"/DB2FM/Solution.fmp12\\\"}\" \\" & ¶ &
      "--header \"Content-Type: application/octet-stream\" \\" & ¶ &
      "--data-binary @" & $container_path ]
       
      #Dropbox URL
      Set Variable [ $dropbox_url ; "https://content.dropboxapi.com/2/files/upload" ]
       
      #Make Request - Set to variable adn then format to JSON field
      Insert from URL [ Verify SSL Certificates ; With dialog: Off ; $json ; $dropbox_url ; cURL options: $curl_header ]
      Set Field [ PREFERENCES:Dropbox_JSON ; JSONFormatElements ( $json ) ]
       
       
       
      JSON Response For Both Methods
       
      I get the following JSON Response for both methods
      {
          "client_modified" : "2017-05-16T11:22:47Z",
          "content_hash" : "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
          "id" : "id:heJWQ1SWwJsAAAAAAcMWNw",
          "name" : "Solution.fmp12",
          "path_display" : "/DB2FM/Solution.fmp12",
          "path_lower" : "/db2fm/solution.fmp12",
          "rev" : "3a0412f00f58892",
          "server_modified" : "2017-05-16T11:22:48Z",
          "size" : 0
      }
       
      Any ideas as to why the file is created but with no content.  I've also tried this with a number of different file types (.png, .txt, .pdf) by manually inserting a file into the container and greying out the 3 steps marked //note1 above but the result is always the same.
       
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