Brand New Web Deployment Experience
Web deployment is getting a major overhaul in LiveCode 10. A raft of changes will make it into a first class citizen, suitable for a much broader range of deployments.
The new version is based on Web Assembly (WASM). That enables a lot. In the first developer preview you can expect:
- Approximately 4x faster out of the box
- About 33% less initial memory required
- Enables the use of “wait” in your code
Let’s look a little closer at what each of these mean.
4x Faster
Your end users will experience a significantly snappier Web app. Almost every aspect of the app will run faster, from loading to script execution to the UI.
For the curious, we have some benchmarks:
33% less Initial Memory
The initial build brings a substantial memory saving already. We’ll aim to continue to reduce the memory footprint in future builds. Less memory also means your end users will not need to wait as long for a first load of your Web app. Always a good thing. People don’t like waiting… except in code, bringing us to our next item:
Wait Enabled
This is a big deal in itself.
You may think of “wait” as just one command in your code, but that isn’t the case. In reality, the LiveCode engine uses “wait” internally for a number of operations. Because “wait” will now work, you can use blocking operations in your Web app such as get, post and delete url. A significant set of operations and features can now be implemented for your app without awkward workarounds.
New Web Widgets
We’re working on more native Web widgets. The first build will have a new Map Widget, allowing you to implement maps in your app without awkward workarounds.
Our new Web experience is a work in progress, so please check back here for more in future.
M1 Architecture Support
LiveCode currently runs on Rosetta 2 on the new M1 Macs. This gives performance pretty similar to what you get on the Intel Macs. In LiveCode 10 we will be adding native support for the M1 architecture, which will bring both a performance boost and future proofing. We expect the native M1 LiveCode to run faster with a smaller footprint. Standalones will be built as universal binaries, ensuring they run everywhere in the future.
Windows Player Media Foundation
The current player on Windows uses DirectShow – which only natively supports the WMV file format. Newer video formats (such as MP4) require third-party codecs to be installed. The move to Media Foundation will mean these are natively supported. MediaFoundation libraries support all the modern codecs such as mp4 natively – so mp4s will play in player objects without any thirdparty components needing to be installed in the OS.
Additionally, mirrored video playback will work correctly as well as non-standard playback rates.
This brings parity between Windows, macOS, Android and iOS video playback features in terms of supported video formats.
Windows Camera Media Foundation
As for the Windows Player, the Camera support on Windows will move to Media Foundation, with similar benefits. Newer video formats like MP4 will be supported out of the box.
Improved AcceleratedRendering on Mobile
The accelerated rendering implementation on iOS and Android will be updated to use OpenGL3ES internally, bringing improvements to attainable framerate (i.e. faster / smoother graphics in that mode).
Mobile Widgets
We are pleased to say we have now acquired full rights to the Mobile Widgets previously owned and maintained by LiveCode Factory. We will be integrating these widgets into LiveCode 10, providing a range of out of the box native objects for mobile platforms, with bug fixes and enhancements to the existing widgets. Initially these will include:
- activity indicator
- switch
- date picker
- time picker
- progress
- slider
- label
- search bar
New Syntax in 10
We’ve added some exciting new syntax for LiveCode 10, bringing you even more power and flexibility within the LiveCode language.
Array Literals
This will allow writing arrays in JSON-like notation direct in LiveCode script:
put { "a": "b", "c": "d" } into tVar1
Instead of:
put "b" into tVar1["a"]
put "d" into tVar1["c"]
Other examples:
put [ 1, 2, 3 ] into tVar2
put [ { "a": "b" }, tVar2 ] into tVar3
The benefit of this is that you can easily express structured data direct in script without using lots of put statements.
Syntax for such (constant!) literals is the same as Python and JSON, allowing easy copy-paste interoperability between the languages.
Constant Expressions
Currently constants defined using constant declarations are limited to single tokens. e.g.
constant kFoo = "foo"
So you cannot build constants from more complex expressions. Constant expressions will lift this restriction so you will be able to do things like:
constant kFoo = ("foo" & "bar" && (1 + 2))
Static Switch Optimization
Currently switch statements check each case in turn until one is found which matches. e.g.
switch tVar
case "foo"
break
case "bar"
break
case "baz"
break
default
answer "none found"
end switch
If tVar is “baz” – then the engine will do three comparisons to determine that is the case.
Essentially this means that the time taken to execute a switch statement increases as the number of cases grows – making very large switch statements slower.
The static switch optimization recognises cases where all the cases are constant expressions, and optimizes the lookup so only a single comparison (array lookup) is needed.
This means for those kinds of switches, there can be arbitrarily many cases without impacting performance.
Constant Folding
Currently all expressions are evaluated at runtime regardless of whether they change or not. For example:
put (1 + 2) / 3 into tVar
Here every time that statement is executed, the engine will evaluate 1 + 2, and then divide the result (3) by 2 even though the value of (1+2)/2 can be known at compile time.
Constant folding means that the engine is able to pre-evaluate what it finds to be constant expressions while compiling, meaning work is not repeatedly done that is not needed.
A really good use for this is to allow string constants which contain newlines without impacting performance:
put format("Hello\nWorld\n") into tVar
Here the format function use will be seen as a constant expression, and evaluated as the wanted string with the return characters in place – without it having to be repeatedly recomputed when executed.
Tail Expressions
The ability to pass arguments to a handler call using an array. e.g.
put 1 into tArgs[1]
put 2 into tArgs[2]
put MyFunc(... tArgs) into tResult
This will call MyFunc as
MyFunc(tArgs[1]. tArgs[2])
All This Coming Soon
We are looking forward to bringing you all this in the LiveCode 10 release cycle. You can expect to see the first dp (developer preview) of LiveCode 10 within the next couple of weeks. We can’t wait! Stay tuned for the first dp announcement and more posts about LiveCode releases in the coming days.
8 comments
Join the conversationMatthias Rebbe - August 31, 2021
Sounds promising.
Good to hear that the Mobile Widgets are now finally maintenaned and get bugfixes and enhancements.
A debugger for Livecode Server would alsoe be great btw. The one included in the On-Rev client and the On-Rev server engine was really a big help and it would be awesome if such a debugging possibility would come back.
Mike Felker - August 31, 2021
Will v10 enable tsnet (SSH and SFTP) and encryption for mobile/web?
Michael Roberts - August 31, 2021
Thanks for the LiveCode 10 preview. Great news and looking forward to trying the first dp. Very glad to see LiveCode continuing development and especially running natively on M1 architecture in the future. Great work!
Till Bandi - August 31, 2021
Constant Folding
Currently all expressions are evaluated at runtime regardless of whether they change or not. For example:
put (1 + 2) / 3 into tVar
Here every time that statement is executed, the engine will evaluate 1 + 2, and then divide the result (3) by 2 even though the value of (1+2)/2 can be known at compile time.
Shouldn’t it be: the value of (1+2)/3 ?
Stam - August 31, 2021
Having just seen all the abrupt licence changes (only because this was mentioned on the forums – i can see no announcement to existing users about this), and as I only recently re-purchased an Indy licence, I have to ask: will any of this be accessible to existing Indy users? (keeping in mind purchased licences usually mean a period of updates).
Would be grateful for clarification
Anton Haselbeck - September 1, 2021
All nice and good and the switch Windows Player Media Foundation is an overdue and extremely welcome change! However, for a major version jump such as from 9.x.x to 10 I’d expect – at least a few- truly ground breaking additions and improvements. From a LiveCode developer’s perspective with building commercial apps, the 4 most crucial features I’m missing terribly – and that are killing LC’s value for any serious software project – are:
a) The ability to encrypt SQlite databases (by implementing SEE aka ‘SQLite Encryption Extension SEE’ into Livecode’s Sqlite db drivers) AND ‘Data-at-Rest Encryption’ on MariaDB!!!
b) Playback of H264/265 encoded videos streamed from at least Vimeo in both, the browser widget AND the player object.
c) Ability to store protected assets as binary data in stacks, and – when needed – to load them into memory and be able to access them as if they were stored on a virtual disk volume without having to first save them to a physical disk. This way, protected videos, images, databases AND script only stacks would not have to be revealed to the end user.
d) A modern, ultra fast and more practical IDE & Script Editor (with script folders, foldable/expandable script sections and maybe even book marks), written in a low level language that doesn’t constantly interfere with the LC app (and its message queue) that’s being developed.
Are we ever going to see these in LiveCode Indy? These features would truly be a revolution!
Regards
Martin Koob - September 7, 2021
Looking at the new syntax I am trying to figure out what tail expressions are and what the advantage is of being able to pass them in a function. I know I am jumping the gun here, DP is not even out but I am just curious. I looked up tail expressions and arrays and did not find a lot of info. I did find some pages in that mentioned the slice command in javascript that allows you to specify a range of items from an array. That doesn’t seem to be what this command does.
A further question. Would this only be for 1 dimensional arrays or if you passed a two dimensional array would it pass a series of arrays instead of values. i.e.
put “apple” into tArgs[1][1]
put “banana” into tArgs[1][2]
put “squash” into tArgs[2][1]
put “carrot” into tArgs[2][2]
put MyFunc(… tArgs) into tResult
would that still pass tArgs[1] and tArgs[2] but now instead of single values would each be 1 dimensional arrays?
so would
MyFunc(….. tArgs[1], tArgs[2])
pass two one dimensional arrays?
( tArgs[1][“apple”] tArgs[1][“squash”] )
( tArgs[2][“banana”] , tArgs[2][“carrot”] )
Great to see the upcoming enhancements.
Can’t wait for the DP?
One last thing. In your example is there a mistake?
——————————————–
This will call MyFunc as
MyFunc(tArgs[1]. tArgs[2])
——————————————–
Should this be a comma in between these two arguments instead of a period?
Thanks
Martin
Martin Koob - September 7, 2021
In my example for passing the two arrays above I used white space to show the array elements of the two single dimensional arrays on top of each other. The white space isn’t preserved so it looks confusing I will try again.
So if you pass
MyFunc(….. tArgs[1], tArgs[2])
Would these two single dimensional arrays be passed.
tArgs[1]
which is
tArgs[1][“apple”]
tArgs[2][“banana”]
tArgs [2]
which is
tArgs[1][“squash”]
tArgs[2][“carrot”]
So the function ‘MyFunc()’ would have to handle them as arrays.
Hope that is clearer