Iterating Over Oddities – of strings, arrays, and counting from 0

Could there possibly be anything more said about iterators and strings? Well, yah, actually tons. Last time around, I showed a simple iterator over a “string”. The focus was primarily on satisfying the job of parsing out null terminated strings from within a ‘null terminated’ string.

As I was doing that, I was also speculating as to whether I could use the exact same iterator to parse fixed sized records from an array of records. I actually wrote a giant iterator that does just that. Then I got to thinking, ‘this isn’t the way to do it’. Iterators, you see, can be broken down into constituent parts. The Lua documentation itself has quite a lot to say about iterators of various forms. One of the most promising bits of documentation is on 7.3 – Stateless Iterators.  In order to pull this off, you split up the “iterator” into a few parts.

 

generator – The function that gets called every time you need a new value.  The parameters that are passed to it are the “fixedpart”, and the “control”.

invariant state – this is the part of the iterator that doesn’t change much.  For example, the source string that you might be iterating over.

index – this is the part that changes every time generator is called.

so, when you do the following:

local values = {'a', 'b', 'c'}
for _idx, value in ipairs(values) do
  print(value)
end

The ‘generator’ is some function returned from the ‘ipairs()’ function. It will be called again and again, until it returns nil.

The ‘invariant state’ is the ‘values’ array. This will be fed to the generator each time a new value is needed.

And last, the _idx, is the index value. It will also be fed to the generator, along with the ‘invariant state’.

So, how about applying this to my previous multi string iterator?

local ffi = require("ffi")
local fun = require("fun")

local floor = math.floor;


-- a nil generator.  
-- good for cases when there's no data
local function nil_gen(param, state)
    return nil
end

local function delim_gen(param, idx)
	local len = 0;

	while ((idx+len) < param.nelems) do
		--print("wchar: ", string.char(ffi.cast(param.basetypeptr, param.data)[idx + len]))
		if ffi.cast(param.basetypeptr, param.data)[idx + len] ~= param.separator then
			len = len + 1;
		else
			break
		end
	end
	
	if len == 0 then
		return nil;
	end

	return idx + len + 1, ffi.cast(param.basetypeptr, param.data)+idx, len
end


local function array_gen(param, idx)
	if idx >= param.nelems then
		return nil;
	end

	return idx+1, ffi.cast(param.basetypeptr, param.data)+idx, 1
end


local function striter(params)
	if not params then
		return nil_gen, params, nil
	end

	if not params.data then
		return nil_gen, params, nil
	end

	params.datalength = params.datalength or #params.data
	if params.basetype then
		if type(params.basetype)== "string" then
			params.basetype = ffi.typeof(params.basetype)
		end
	end
	params.basetype = params.basetype or ffi.typeof("char")
	params.basetypeptr = ffi.typeof("const $ *", params.basetype)
	params.basetypesize = ffi.sizeof(params.basetype)
	params.nelems = math.floor(params.datalength / params.basetypesize)

	if params.separator ~= nil then
		return delim_gen, params, 0
	else
		return array_gen, params, 0
	end

	return nil_gen, nil, nil
end

How to apply it?

local src3 = "big,boy,baby,bear,bounces,basketballs,behind,the,barn,,"

local function printAnsi(ptr, len)
  print(ffi.string(ptr, len))
end

each(printAnsi, striter{data=src3, basetype="char"})

Here, I am using the Lua Fun ‘each’ function to drive my iterator. I could just as easily use a simple ‘for – in’ loop, but I’m getting all functional these days. What the last statement says is, “for each of the items coming out of the striter iterator, call the ‘printAnsi()’ function”.

The striter function is called with a table that contains the various parameters it will need. In this particular case, I’ve left off the parenthesis, because in Lua, if it’s just a single table value, or a string, you can do that.

So, how about that striter() function? Looking back, it has the job of returning a ‘generator’, ‘invariant state’, and a ‘index’. Well, it cheats a bit because the ‘invariant’ also contains the ‘index’. The ‘invariant’ is the fact that the table value doesn’t change, even though the contents can. This is just a matter of convenience.

At any rate, the striter() function decides which generator to return based on what it sees in the parameters. For example, if it sees a separator, then it will return the ‘delim_gen’ generator. That generator functions pretty much the same was as the one I created last time for the multi string thing. In the case where it doesn’t see a separator, it will return the ‘array_gen’ generator. That generator will assume it is being handed a pointer to an array of values of a particular type.

One thing to note that is different this time around from the mstrziter, Lua string creation does not occur within the iterator itself. Rather than return a string value, the iterator will simply return an offset and a length. It is up to the caller to determine what they want to do with the values.

This is kind of a key to an IEnumerable chain. Do the least amount of work as possibly, deferring really heavy work towards the end of your chain. This lazy evaluation makes for a more efficient chain. So, the ‘printAnsi’ function is at the end of the chain. It might have turned out that instead of creating strings at all, I might have wanted to send the values across a network to be stored in a database. In that case, the pointer, offset, length is perfect to be consumed directy by the Socket:send(buff, len) function, so no copying would be necessary.

How about that array case?

Let’s imagine I wanted to print out every value of the string one by one.

each(printAnsi, striter{data=src3, basetype="char"})

In this case, I’m creating an iterator, not specifying the separator (so the array_gen will be used). I have also specified the ‘basetype’ of the elements of my array. That’s so it can calculate how many there are, and create a pointer of the appropriate type. And you’re done!

Of course, the ‘basetype’ could just as easily be ‘BGR32′, or ‘PersonRecord’, or whatever fixed size type you so happen to have stored in some array. Makes for some fairly easy ‘tokenizing’ of array values.

To go further, what’s say you have a multi string based on ‘wchar_t’, and delimeted by ‘ ‘ (space) characters?

How about a little convenience function?

local function wmstriter(data, separator, datalength)
  if type(separator) == "string" then
    separator = string.byte(separator)
  end

  datalength = datalength or ffi.sizeof(data)
  return map(core_string.toAnsi, striter{data=data, datalength = datalength, basetype="wchar_t", separator=separator})
end

and using it:

local whello, whellolen = core_string.toUnicode("Hello World");

each(print, wmstriter(whello, ' '))

In this case, I create a ‘wchar_t’ based string, using the ‘toUnicode()’ function. Then I feed that to the wmstriter iterator, and print out each of the words, delimeted by a ‘(sp)’.

The core ‘striter()’ remains the same, and the generators don’t change. You just build up more useful ways of feeding them and consuming them.

I find this to be fairly useful and powerful. When you think about the generators, they have a fairly simple task. Do one small job, and do it well. The complexity of a larger system is gained through thoughtful composition of these simpler parts, rather than building hugely complex macro parts.

This is helpful for code maintenance. I find it hard to maintain largish single functions with hundreds of lines of code. I find it fairly easy to maintain a generator that has a few lines of code, and does a fairly simple job. I find the composition model easy as well. I can look back on it over time, read the functional chain, and understand what was intended.

And there you have it. More iterating over oddities.

 


Iterating over oddities – mstrziter

In some parts of the Windows API, you will run across the case where a ‘multi-string’ is the return value. A ‘multi-string’ might look like this:

"this\0is\0a\0multi-string\0\0"

Basically, a byte array with embedded null terminated strings. You find this in cases like when you’re enumerating devices, and the locationpaths (where the device is mounted) is returned. You find these in the system registry where they are the REG_MULTI_SZ type. So, if you’re wanting to deal with the system registry, you might run across this particular type. I’m not sure I’d ever have a need to create this particular type in modern day programming. I might choose a different delimeter than the ” byte, but it is fairly effective for ascii strings.

At any rate, I want an iterator over this thing so that I can easily navigate around it without much fuss. Thus was born mstrziter.

local function mstrziter(params)
	params = params or {}

	params.separator = params.separator or 0
	params.datalength = params.datalength or #params.data
	params.basetype = params.basetype or ffi.typeof("char")
	params.basetypeptr = ffi.typeof("const $ *", params.basetype)
	params.maxlen = params.maxlen or params.datalength-1;

	local function closure(param, idx)
		if not params.data then
			return nil;
		end

		local len = 0;
		
		while ffi.cast(param.basetypeptr, param.data)[idx + len] ~= param.separator and (len < param.maxlen) do
			len = len +1;
		end

		if len == 0 then
			return nil;
		end

		return (idx + len+1), ffi.string(ffi.cast(param.basetypeptr, param.data)+idx, len*ffi.sizeof(param.basetype));
	end

	return closure, params, 0;
end

With this little construct, I can do the following:

require("fun")()
local src = "big\0boy\0baby\0bear\0bounces\0basketballs\0behind\0the\0barn\0\0"

print("---- each(print, mstrziter(src)")
each(print, mstrziter{data = src})

That is, passing a multi-string to mstrziter and it will feed out the strings one by one. Well, I think that’s pretty nifty, and cracks multi-strings wide open. When I first created the thing, I only wanted to deal with null delimeted strings, but there’s no reason this same routine can’t do more.

I can just as easily do the following:

local src2 = "big\rboy\rbaby\rbear\rbounces\rbasketballs\rbehind\rthe\rbarn\r\r"
print("---- take(3, mstrziter(src2) ----")
each(print, take(3, mstrziter{data = src2, separator = string.byte('\r')}))

In this case I’m using ‘\r’ as the delimeter. Of course Lua already has the gmatch() function on strings, so why would I bother with this at all? Well, because I’m not always handed a string to begin with. Most of the times I’m handed a pointer to some buffer. I don’t want to waste time turning that into a Lua string, simply to chop it up into more strings.

Another interesting thing you can do is pass in the base type of the array:

each(print, mstrziter{data = src, basetype=ffi.typeof(“const wchar_t *”)})

In this way, it can deal with standard ‘char *’, or ‘wchar_t *’. But why stop there? You can pass in an array of any type, as long as there is an ‘__eq’ implemented for that type. So, fixed sized records in a database? If you do that, then your queries using the functional programming stuff become fairly easy and interesting.

Well, there you have it. A fairly simple iterator. It serves the purpose I set out for it, and gave me a whole lot more in return. The one wish I have for it is one for Lua in general. When I have a buffer which already contains the content, I would like to create ‘tokens’ instead of full on strings. Meaning, I’d like to have a token which consists of the base pointer, offset, length in the original buffer. But, that becomes a hairy mess, not immutable, not properly garbage collected… So, for now, I’m happy with just creating new copies of the strings.


Device Iteration with Functional Programming

One of the great pleasures I have in life is learning something new. There’s nothing greater than those ‘light bulb goes on’ moments as you realize something and gain a much deeper understanding than you had before.

Well, a little while ago, there was an announcement of this thing called Lua Fun.  Lua Fun is a large set of functions which make functional programming in Lua really easy.  It has the usual suspects such as map, reduce, filter, each, etc.  If you read the documentation, you get a really good understanding of how iterators work in Lua, and more importantly, how LuaJIT is able to fold and manipulate things in hot loops such that the produced code is much tighter than anything I could possibly write in C, or any other language I so happen to use.

So, now I’m a fan of Lua Fun, and I would encourage anyone who’s both into Lua, and functional programming to take a look.

How to use it?  I’ve been enumerating various types of things in the Windows system of late.  Using the MMDevice subsystem, I was able to get an enumeration of the audio devices (that took a lot of COM work).  What about displays, and disk drives, and USB devices, and…  Yes, each one of those things has an attendant API which will facilitate monitoring said category.  But, is there one to rule them all?  Well yes, as it turns out, in most cases what these various APIs are doing is getting information out of the System Registry, and just presenting it reasonably.

There is a way to enumerate all the devices in the system.  You know, like when you bring up the Device Manager in Windows, and you see a tree of devices, and their various details.  The stage is set, how do you do that?  I created a simple object that does the grunt work of enumerating the devices in the system.

The DeviceRecordSet is essentially a query. Creating an instance of the object just gives you a handle onto making query requests. Here is the code:

local ffi = require("ffi")
local bit = require("bit")
local bor = bit.bor;
local band = bit.band;

local errorhandling = require("core_errorhandling_l1_1_1");
local SetupApi = require("SetupApi")
local WinNT = require("WinNT")


local DeviceRecordSet = {}
setmetatable(DeviceRecordSet, {
	__call = function(self, ...)
		return self:create(...)
	end,
})

local DeviceRecordSet_mt = {
	__index = DeviceRecordSet,
}


function DeviceRecordSet.init(self, rawhandle)
	print("init: ", rawhandle)

	local obj = {
		Handle = rawhandle,
	}
	setmetatable(obj, DeviceRecordSet_mt)

	return obj;
end

function DeviceRecordSet.create(self, Flags)
	Flags = Flags or bor(ffi.C.DIGCF_PRESENT, ffi.C.DIGCF_ALLCLASSES)

	local rawhandle = SetupApi.SetupDiGetClassDevs(
		nil, 
        nil, 
        nil, 
        Flags);

	if rawhandle == nil then
		return nil, errorhandling.GetLastError();
	end

	return self:init(rawhandle)
end

function DeviceRecordSet.getNativeHandle(self)
	return self.Handle;
end

function DeviceRecordSet.getRegistryValue(self, key, idx)
	idx = idx or 0;

	did = ffi.new("SP_DEVINFO_DATA")
	did.cbSize = ffi.sizeof("SP_DEVINFO_DATA");

--print("HANDLE: ", self.Handle)
	local res = SetupApi.SetupDiEnumDeviceInfo(self.Handle,idx,did)

	if res == 0 then
		local err = errorhandling.GetLastError()
		--print("after SetupDiEnumDeviceInfo, ERROR: ", err)
		return nil, err;
	end

	local regDataType = ffi.new("DWORD[1]")
	local pbuffersize = ffi.new("DWORD[1]",260);
	local buffer = ffi.new("char[260]")

	local res = SetupApi.SetupDiGetDeviceRegistryProperty(
            self:getNativeHandle(),
            did,
			key,
			regDataType,
            buffer,
            pbuffersize[0],
            pbuffersize);

	if res == 0 then
		local err = errorhandling.GetLastError();
		--print("after GetDeviceRegistryProperty, ERROR: ", err)
		return nil, err;
	end

	--print("TYPE: ", regDataType[0])
	if (regDataType[0] == 1) or (regDataType[0] == 7) then
		return ffi.string(buffer, pbuffersize[0]-1)
	elseif regDataType[0] == ffi.C.REG_DWORD_LITTLE_ENDIAN then
		return ffi.cast("DWORD *", buffer)[0]
	end

	return nil;
end


function DeviceRecordSet.devices(self, fields)
	fields = fields or {
		{ffi.C.SPDRP_DEVICEDESC, "description"},
		{ffi.C.SPDRP_MFG, "manufacturer"},
		{ffi.C.SPDRP_DEVTYPE, "devicetype"},
		{ffi.C.SPDRP_CLASS, "class"},
		{ffi.C.SPDRP_ENUMERATOR_NAME, "enumerator"},
		{ffi.C.SPDRP_FRIENDLYNAME, "friendlyname"},
		{ffi.C.SPDRP_LOCATION_INFORMATION , "locationinfo"},
		{ffi.C.SPDRP_LOCATION_PATHS, "locationpaths"},
		{ffi.C.SPDRP_PHYSICAL_DEVICE_OBJECT_NAME, "objectname"},
		{ffi.C.SPDRP_SERVICE, "service"},
	}

	local function closure(fields, idx)
		local res = {}

		local count = 0;
		for _it, field in ipairs(fields) do
			local value, err = self:getRegistryValue(field[1], idx)
			if value then
				count = count + 1;
				res[field[2]] = value;
			end
		end

		if count == 0 then
			return nil;
		end
				
		return idx+1, res;
	end

	return closure, fields, 0
end

return DeviceRecordSet

The ‘getRegistryValue()’ function is the real workhorse of this object. That’s what gets your values out of the system registry. The other function of importance is ‘devices()’. This is an iterator.

There are a couple of things of note about this iterator. First of all, it does not require ‘up values’ to be held onto. All that means is that everything the iterator needs to operate is carried in the return values from the function. The ‘state’ if you will, is handed in fresh every time the ‘closure()’ is called. This is the key to creating an iterator that will work well with Lua Fun.

By default, this iterator will return quite a few (but not all) fields related to each object, and it will return all the objects. This is ok, because there are typically less than 150 objects in any given system.

Now, I want to do various queries against this set without much fuss. This is where Lua Fun, and functional programming in general, really shines.

First, a little setup:

--test_enumdevices.lua
local ffi = require("ffi")
local DeviceRecordSet = require("DeviceRecordSet")
local serpent = require("serpent")
local Functor = require("Functor")

local fun = require("fun")()
local drs = DeviceRecordSet();

local function printIt(record)
	print("==========")
	each(print, record)
	print("----------")
end

This creates an instance of the DeviceRecordSet object, which will be used in the queries. Already the printIt() function is utilizing Lua Fun. The ‘each()’ function will take whatever it’s handed, and perform the function specified. In this case, the ‘record’ will be a table. So, each will iterate over the table entries and print each one of them out. This is the equivalent of doing:

for k,v in pairs(record)
print(k, v)
end

I think that simply typing ‘each’ is a lot simpler and pretty easy to understand.

How about a query then?

-- show everything for every device
each(printIt, drs:devices())

In this case, the ‘each’ is applied to the results of the ‘devices()’ iterator. For each record coming from the devices iterator, the printIt function will be called, which will in turn print out all the values in the record. That’s pretty nice.

What if I don’t want to see all the fields in the record, I just want to see the objectname, and description fields. Well, this is a ‘map’ operation, or a projection in database parlance, so:

-- do a projection on the fields
local function projection(x)
  return {objectname = x.objectname, description = x.description}
end
each(printIt, map(projection, drs:devices()))

Working from the inside out, for each record coming from the devices() iterator, call the ‘projection’ function. The return value from the projection function becomes the new record for this iteration. For each of those records, call the printIt function.

Using ‘map’ is great as you can reshape data in any way you like without much fuss.

Lastly, I want to see only the records that are related to “STORAGE”, so…

-- show only certain records
local function enumeratorFilter(x)
	return x.enumerator == "STORAGE"
end

each(printIt, filter(enumeratorFilter, drs:devices()))

Here, the ‘filter’ iterator is used. So, again, for each of the records coming from the ‘devices()’ enumerator, call the ‘enumeratorFilter’ function. If this function returns ‘true’ for the record, then it is passed along as the next record for the ‘each’. If ‘false’, then it is skipped, and the next record is tried.

This is pretty powerful, and yet simple stuff. The fact that iterators create new iterators, in tight loops, makes for some very dense and efficient code. If you’re interested in why this is so special in LuaJIT, and not many other languages, read up on the Lua Fun documentation.

I’ve killed two birds with one stone. I have finally gotten to the root of all device iterators. I have also learned how to best write iterators that can be used in a functional programming way. Judicious usage of this mechanism will surely make a lot of my code more compact and readable, as well as highly performant.

 


Asynchronous DNS lookups on Windows

I began this particular journey because I wanted to do DNS lookups asynchronously on Windows. There is of course a function for that:

DnsQueryEx

The problem I ran into is that unlike the various other Windows functions I’ve done with async, this one does not use an IO Completion Port. Instead it uses a mechanism called APC (Asynchronouse Procedure Call). With this little bit of magic, you pass in a pointer to a function which will be called in your thread context, kind of in between when other things are happening. Well, given the runtime environment I’m using, I don’t think this quite works out. Basically, I’d have a function being called leaving the VM in an unknown state.

So, I got to digging. I figured, how hard can it be to make calls to a DNS server directly? After all, it is nothing more than a network based service with a well known protocol. Once I could make a straight networking call, then I could go back to leveraging IO Completion Ports just like I do for all other IO.

You can view the DNS system as nothing more than a database to which you pose queries. You express your queries using some nice well defined protocol, which is ancient in origin, and fairly effective considering how frequently DNS queries are issued. Although I could man up and write the queries from scratch, Windows helps me here by providing functions that will format the query into a buffer for me.

But, before I get into that, what do the queries look like? What am I looking up? Well, a Domain Name Server serves up translations of names to other names and numbers. For example, I need to find the IP address of http://www.bing.com. I can look for CNAMES (an alias), or ‘A’ records (direct to an IP address. This gets esoteric and confusing, so a little code can help:

-- Prepare the DNS request
local dwBuffSize = ffi.new("DWORD[1]", 2048);
local buff = ffi.new("uint8_t[2048]")

local wID = clock:GetCurrentTicks() % 65536;
        
local res = windns_ffi.DnsWriteQuestionToBuffer_UTF8( 
  ffi.cast("DNS_MESSAGE_BUFFER*",buff), 
  dwBuffSize, 
  ffi.cast("char *",strToQuery), 
  wType, 
  wID, 
  true )

DnsWriteQuestionToBuffer_UTF8 is the Windows function which helps me to write a DNS query into a buffer, which will then be send to the actual dns server.

wType, represents the type of record you want to be returned. The values might be something like:

wType = ffi.C.DNS_TYPE_A
wType = ffi.C.DNS_TYPE_MX  - mail records
wType = ffi.C.DNS_TYPE_CNAME

There are about a hundred different types that you can query for. The vast majority of the time though, you either looking for ‘A’, or ‘CNAME’ records.

The wID is just a unique identifier for the particular query so that if you’re issuing several on the same channel, you can check the response to ensure they match up.

OK. Now I have a DNS query stuffed into a buffer, how do I make the query and get the results?

-- Send the request.
local IPPORT_DNS = 53;
local remoteAddr = sockaddr_in(IPPORT_DNS, AF_INET);
remoteAddr.sin_addr.S_addr = ws2_32.inet_addr( "209.244.0.3");

-- create the UDP socket
local socket, err = NativeSocket( AF_INET, SOCK_DGRAM, IPPROTO_UDP );

-- send the query
local iRes, err = socket:sendTo(
  ServerAddress, ffi.sizeof(ServerAddress), 
  buff, dwBuffSize[0]);

This little bit of code shows the socket creation, and the actual ‘sendTo’ call. Of note, the “209.244.0.3” represents the IP address of a well known public DNS server. In this case it is hosted by Level 3, which is a internet services provider. There are of course calls you can make to figure out which DNS server your machine is typically configured to use, but this way the query will always work, no matter which network you are on.

Notice the socket is a UDP socket.

At this point, we’re already running cooperatively due to the fact that within TINN, all IO is done cooperatively, without the programmer needing to do much special.

Now to receive the query response back:

   -- Try to receive the results
    local RecvFromAddr = sockaddr_in();
    local RecvFromAddrSize = ffi.sizeof(RecvFromAddr);
    local cbReceived, err = self.Socket:receiveFrom(RecvFromAddr, RecvFromAddrSize, buff, 2048);

Basically just wait for the server to send back a response. Of course, like the sendTo, the receiveFrom works cooperatively, so that if the developer issues several ‘spawn’ commands, each query could be running in its own task, working cooperatively.

Once you have the response, you can parse out the results. The results come back as a set of records. There are of course functions which will help you to parse these records out. The key here is that the record type is indicated, and its up to the developer to pull out the relevant information.

The complete DNSNameServer class is here:

local ffi = require("ffi")

local Application = require("Application")
local windns_ffi = require("windns_ffi")
local NativeSocket = require("NativeSocket")
local ws2_32 = require("ws2_32")
local Stopwatch = require("StopWatch")

local clock = Stopwatch();

-- DNS UDP port
local IPPORT_DNS = 53;

local DNSNameServer = {}
setmetatable(DNSNameServer, {
    __call = function(self, ...)
        return self:create(...)
    end,
})
local DNSNameServer_mt = {
    __index = DNSNameServer,
}

function DNSNameServer.init(self, serveraddress)
    local socket, err = NativeSocket( AF_INET, SOCK_DGRAM, IPPROTO_UDP );

    if not socket then
        return nil, err
    end

    local obj = {
        Socket = socket,
        ServerAddress = serveraddress,
    }
    setmetatable(obj, DNSNameServer_mt)

    return obj;
end

function DNSNameServer.create(self, servername)
    local remoteAddr = sockaddr_in(IPPORT_DNS, AF_INET);
    remoteAddr.sin_addr.S_addr = ws2_32.inet_addr( servername );

    return self:init(remoteAddr)
end

-- Construct DNS_TYPE_A request, send it to the specified DNS server, wait for the reply.
function DNSNameServer.Query(self, strToQuery, wType, msTimeout)
    wType = wType or ffi.C.DNS_TYPE_A
    msTimeout = msTimeout or 60 * 1000  -- 1 minute


    -- Prepare the DNS request
    local dwBuffSize = ffi.new("DWORD[1]", 2048);
    local buff = ffi.new("uint8_t[2048]")

    local wID = clock:GetCurrentTicks() % 65536;
        
    local res = windns_ffi.DnsWriteQuestionToBuffer_UTF8( ffi.cast("DNS_MESSAGE_BUFFER*",buff), dwBuffSize, ffi.cast("char *",strToQuery), wType, wID, true )

    if res == 0 then
        return false, "DnsWriteQuestionToBuffer_UTF8 failed."
    end

    -- Send the request.
    local iRes, err = self.Socket:sendTo(self.ServerAddress, ffi.sizeof(self.ServerAddress), buff, dwBuffSize[0]);
    

    if (not iRes) then
        print("Error sending data: ", err)
        return false, err
    end

    -- Try to receive the results
    local RecvFromAddr = sockaddr_in();
    local RecvFromAddrSize = ffi.sizeof(RecvFromAddr);
    local cbReceived, err = self.Socket:receiveFrom(RecvFromAddr, RecvFromAddrSize, buff, 2048);

    if not cbReceived then
        print("Error Receiving Data: ", err)
        return false, err;
    end

    if( 0 == cbReceived ) then
        return false, "Nothing received"
    end

    -- Parse the DNS response received with DNS API
    local pDnsResponseBuff = ffi.cast("DNS_MESSAGE_BUFFER*", buff);
    windns_ffi.DNS_BYTE_FLIP_HEADER_COUNTS ( pDnsResponseBuff.MessageHead );

    if pDnsResponseBuff.MessageHead.Xid ~= wID then        
        return false, "wrong transaction ID"
    end

    local pRecord = ffi.new("DNS_RECORD *[1]",nil);

    iRes = windns_ffi.DnsExtractRecordsFromMessage_W( pDnsResponseBuff, cbReceived, pRecord );
    
    pRecord = pRecord[0];
    local pRecordA = ffi.cast("DNS_RECORD *", pRecord);
    
    local function closure()
        if pRecordA == nil then
            return nil;
        end

        if pRecordA.wType == wType then
            local retVal = pRecordA
            pRecordA = pRecordA.pNext

            return retVal;
        end

        -- Find the next record of the specified type
        repeat
            pRecordA = pRecordA.pNext;
        until pRecordA == nil or pRecordA.wType == wType
    
        if pRecordA ~= nil then
            local retVal = pRecordA
            pRecordA = pRecordA.pNext
            
            return retVal;
        end

        -- Free the resources
        if pRecord ~= nil then
            windns_ffi.DnsRecordListFree( pRecord, ffi.C.DnsFreeRecordList );
        end 

        return nil
    end

    return closure
end

function DNSNameServer.A(self, domainToQuery) return self:Query(domainToQuery, ffi.C.DNS_TYPE_A) end
function DNSNameServer.MX(self, domainToQuery) return self:Query(domainToQuery, ffi.C.DNS_TYPE_MX) end
function DNSNameServer.CNAME(self, domainToQuery) return self:Query(domainToQuery, ffi.C.DNS_TYPE_CNAME) end
function DNSNameServer.SRV(self, domainToQuery) return self:Query(domainToQuery, ffi.C.DNS_TYPE_SRV) end

return DNSNameServer

Notice at the end there are some convenience functions for a few of the well known DNS record types. The ‘Query()’ function is generic, and will return records of any type. These convenience functions just make it easier.

And how to use it?

local ffi = require("ffi")
local DNSNameServer = require("DNSNameServer")
local core_string = require("core_string_l1_1_0")


--local serveraddress = "10.211.55.1"		-- xfinity
local serveraddress = "209.244.0.3" -- level 3

local domains = {
	"www.nanotechstyles.com",
	"www.adafruit.com",
	"adafruit.com",
	"adamation.com",
	"www.adamation.com",
	"microsoft.com",
	"google.com",
	"ibm.com",
	"oracle.com",
	"sparkfun.com",
	"apple.com",
	"netflix.com",
	"www.netflix.com",
	"www.us-west-2.netflix.com",
	"www.us-west-2.prodaa.netflix.com",
	"news.com",
	"hardkernel.org",
	"amazon.com",
	"walmart.com",
	"target.com",
	"godaddy.com",
	"luajit.org",
}



local function queryA()
	local function queryDomain(name)
		local dns = DNSNameServer(serveraddress) -- ms corporate
		print("==== DNS A ====> ", name)
		for record in dns:A(name) do
			local a = IN_ADDR();
    		a.S_addr = record.Data.A.IpAddress

    		print(string.format("name: %s\tIP: %s, TTL %d", name, a, record.dwTtl));
		end
	end

	for _, name in ipairs(domains) do 
		spawn(queryDomain, name)
		--queryDomain(name)
	end
end

local function queryCNAME()
	local dns = DNSNameServer(serveraddress) -- ms corporate
	local function queryDomain(name)
		print("==== DNS CNAME ====> ", name)
		for record in dns:CNAME(name) do
			print(core_string.toAnsi(record.pName), core_string.toAnsi(record.Data.CNAME.pNameHost))
		end
	end

	for _, name in ipairs(domains) do 
		queryDomain(name)
	end
end

local function queryMX()
	local function queryDomain(name)
		local dns = DNSNameServer(serveraddress) -- ms corporate
		print("==== DNS MX ====> ", name)
		for record in dns:MX(name) do
			print(core_string.toAnsi(record.pName), core_string.toAnsi(record.Data["MX"].pNameExchange))
		end
	end

	for _, name in ipairs(domains) do 
		spawn(queryDomain, name)
	end
end

local function querySRV()
	local dns = DNSNameServer(serveraddress) -- ms corporate
	for _, name in ipairs(domains) do 
		print("==== DNS SRV ====> ", name)
		for record in dns:SRV(name) do
			print(core_string.toAnsi(record.pName), core_string.toAnsi(record.Data.SRV.pNameTarget))
		end
	end
end

local function main()
  queryA();
  --queryCNAME();
  --queryMX();
  --querySRV();
end

run(main)

The function queryA() will query for the ‘A’ records, and print them out. Notice that it has knowledge of the giant union structure that contains the results, and it pulls out the specific information for ‘A’ records. It will create a new instance of the DNSNameServer for each query. That’s not as bad as it might seem. All it amounts to is creating a new UDP socket for each query. Since each query is spawned into its own task, they are all free to run and complete independently, which was the goal of this little exercise.

In the case of the CNAME query, there is only a single socket, and it is used repeatedly, serially, for each query.

The difference between the two styles is noticeable. For the serial case, the queries might ‘take a while’, because you have to wait for each result to come back before issuing the next query. In the cooperative case, you issue several queries in parallel, so the total time will only be as long as the longest query.

That’s a good outcome.

I like this style of programming. You go as low as you can to root out where the system might otherwise block, and you make that part cooperative. That way everything else above it is automatically cooperative. I also like the fact that it feels like I’m getting some parallelism, but I’m not using any of the typical primitives of parallelism, including actual threads, mutexes, and the like.

Well, that’s a hefty bit of code, and it serves the purpose I set out, so I’m a happy camper. Now, if I could just turn those unions into tables automatically…


All the pretty little asyncs…

I have gone on about various forms of async for quite some time now. So could there possibly be more? Well, yes of course!

Here’s the scenario I want to enable. I want to keep track of my file system activity, sending the various operations to a distant storage facility. I want to do this while a UI displays what’s going on, and I want to be able to configure things while its happening, like which events I really care to shadow, and the like.

I don’t want to use multiple OS level threads if I can at all avoid them as they will complicate my programming tremendously. So, what to do.

Well, first I’ll start with the file tracking business. I have talked about change journals in the past. This is a basic mechanism that Windows has to track changes to the file system. Every single open, close, delete, write, etc, has an entry in this journal. If you’re writing a backup program, you’ll be using change journals.

The essence of the change journal functionality is usage of the DeviceIoControl() function. Most of us are very familiar with the likes of CreateFile(), ReadFile(), WriteFile(), CloseHandle(), when it comes to dealing with files. But, for everything else, there is this DeviceIOControl() function.

What is a device? Well, you’d be surprised to learn that most things in the Windows OS are represented by ‘devices’ just like they are in UNIX systems. For example, ‘C:’, is a device. But, also “DISPLAY1″ is also a device, as are “LCD” and “PhysicalDisk0″. When it comes to controlling devices, the Win32 level API calls will ultimately make DeviceIoControl() calls with various parameters. That’s great to know as it allows you to create whatever API you want, as long as you know the nuances of the device driver you’re trying to control.

But, I digress. The key point here is that I can open up a device, and I can make a DeviceIoControl() call, and true to form, I can use OVERLAPPED structures, and IO Completion Ports. That makes these calls “async”, or with TINN, cooperative.

To wrap it up in a tidy little bow, here is a Device class which does the grunt work for me:

--[[
References

http://msdn.microsoft.com/en-us/magazine/cc163415.aspx

--]]
local ffi = require("ffi")
local bit = require("bit")
local bor = bit.bor;

local core_file = require("core_file_l1_2_0");
local core_io = require("core_io_l1_1_1");
local Application = require("Application")
local IOOps = require("IOOps")
local FsHandles = require("FsHandles");
local errorhandling = require("core_errorhandling_l1_1_1");
local WinBase = require("WinBase");


local Device = {}
setmetatable(Device, {
	__call = function(self, ...)
		return self:open(...)
	end,
})
local Device_mt = {
	__index = Device,
}

function Device.init(self, rawhandle)
	local obj = {
		Handle = FsHandles.FsHandle(rawhandle)
	}
	setmetatable(obj, Device_mt)
	
	Application:watchForIO(rawhandle, rawhandle)

	return obj;
end


function Device.open(self, devicename, dwDesiredAccess, dwShareMode)
	local lpFileName = string.format("\\\\.\\%s", devicename);
	dwDesiredAccess = dwDesiredAccess or bor(ffi.C.GENERIC_READ, ffi.C.GENERIC_WRITE);
	dwShareMode = bor(FILE_SHARE_READ, FILE_SHARE_WRITE);
	local lpSecurityAttributes = nil;
	local dwCreationDisposition = OPEN_EXISTING;
	local dwFlagsAndAttributes = FILE_FLAG_OVERLAPPED;
	local hTemplateFile = nil;

	local handle = core_file.CreateFileA(
        lpFileName,
        dwDesiredAccess,
        dwShareMode,
     	lpSecurityAttributes,
        dwCreationDisposition,
        dwFlagsAndAttributes,
     	hTemplateFile);


	if handle == INVALID_HANDLE_VALUE then
		return nil, errorhandling.GetLastError();
	end

	return self:init(handle)
end

function Device.getNativeHandle(self)
	return self.Handle.Handle;
end

function Device.createOverlapped(self, buff, bufflen)
	local obj = ffi.new("FileOverlapped");
	
	obj.file = self:getNativeHandle();
	obj.OVL.Buffer = buff;
	obj.OVL.BufferLength = bufflen;

	return obj;
end

function Device.control(self, dwIoControlCode, lpInBuffer, nInBufferSize, lpOutBuffer, nOutBufferSize)
	local lpBytesReturned = nil;
	local lpOverlapped = self:createOverlapped(ffi.cast("void *", lpInBuffer), nInBufferSize);


	local status = core_io.DeviceIoControl(self:getNativeHandle(), 
          dwIoControlCode, 
          ffi.cast("void *", lpInBuffer),
          nInBufferSize,
          lpOutBuffer,
          nOutBufferSize,
          lpBytesReturned,
          ffi.cast("OVERLAPPED *",lpOverlapped));

	local err = errorhandling.GetLastError();

	-- Error conditions
	-- status == 1, err == WAIT_TIMEOUT (258)
	-- status == 0, err == ERROR_IO_PENDING (997)
	-- status == 0, err == something else

	if status == 0 then
		if err ~= ERROR_IO_PENDING then
			return false, err
		end
	end

    local key, bytes, ovl = Application:waitForIO(self, lpOverlapped);

    return bytes;
end

return Device

I’ve shown this kind of construct before with the NativeFile object. That object contains Read, and Write functions as well, but lacks the control() function. Of course the two could be combined for maximum benefit.

How to use this thing?

dev = Device("c:")
dev:control(...)

OK, that’s out of the way. Now, what about this change journal thing? Very simple now that the device is handled.
A change journal can look like this:

-- USNJournal.lua
-- References
-- http://msdn.microsoft.com/en-us/library/windows/desktop/aa364563(v=vs.85).aspx
-- http://www.microsoft.com/msj/0999/journal/journal.aspx
-- http://www.microsoft.com/msj/1099/journal2/journal2.aspx
-- 

local ffi = require("ffi");
local bit = require("bit");
local bor = bit.bor;
local band = bit.band;

local core_io = require("core_io_l1_1_1");
local core_file = require("core_file_l1_2_0");
local WinIoCtl = require("WinIoCtl");
local WinBase = require("WinBase");
local errorhandling = require("core_errorhandling_l1_1_1");
local FsHandles = require("FsHandles");
local Device = require("Device")

--[[
	ChangeJournal

	An abstraction for NTFS Change journal management
--]]
local ChangeJournal = {}
setmetatable(ChangeJournal, {
	__call = function(self, ...)
		return self:open(...);
	end,
});

local ChangeJournal_mt = {
	__index = ChangeJournal;
}

ChangeJournal.init = function(self, device)
	local obj = {
		Device = device;
	}
	setmetatable(obj, ChangeJournal_mt);

	local jinfo, err = obj:getJournalInfo();

	print("ChangeJournal.init, jinfo: ", jinfo, err)

	if jinfo then
		obj.JournalID = jinfo.UsnJournalID;
		obj.LowestUsn = jinfo.LowestValidUsn;
		obj.FirstUsn = jinfo.FirstUsn;
		obj.MaxSize = jinfo.MaximumSize;
		obj.MaxUsn = jinfo.MaxUsn;
		obj.AllocationSize = jinfo.AllocationDelta;
	end

	return obj;
end


ChangeJournal.open = function(self, driveLetter)
	local device, err = Device(driveLetter)

	if not device then
		print("ChangeJournal.open, ERROR: ", err)
		return nil, err
	end

	return self:init(device);
end


ChangeJournal.getNextUsn = function(self)
	local jinfo, err = self:getJournalInfo();

	if not jinfo then
		return false, err;
	end

	return jinfo.NextUsn;
end



ChangeJournal.getJournalInfo = function(self)
	local dwIoControlCode = FSCTL_QUERY_USN_JOURNAL;
	local lpInBuffer = nil;
	local nInBufferSize = 0;
	local lpOutBuffer = ffi.new("USN_JOURNAL_DATA");
	local nOutBufferSize = ffi.sizeof(lpOutBuffer);

	local success, err = self.Device:control(dwIoControlCode, 
          lpInBuffer,
          nInBufferSize,
          lpOutBuffer,
          nOutBufferSize);

	if not success then
		return false, errorhandling.GetLastError();
	end

	return lpOutBuffer;
end

function ChangeJournal.waitForNextEntry(self, usn, ReasonMask) 
 	usn = usn or self:getNextUsn();
 	local ReasonMask = ReasonMask or 0xFFFFFFFF;
 	local ReturnOnlyOnClose = false;
 	local Timeout = 0;
 	local BytesToWaitFor = 1;

    local ReadData = ffi.new("READ_USN_JOURNAL_DATA", {usn, ReasonMask, ReturnOnlyOnClose, Timeout, BytesToWaitFor, self.JournalID});

    local pusn = ffi.new("USN");
    
    -- This function does not return until the USN
    -- record exits
	local BUF_LEN = ffi.C.USN_PAGE_SIZE;
	local Buffer = ffi.new("uint8_t[?]", BUF_LEN);
    local dwBytes = ffi.new("DWORD[1]");

	local success, err = self.Device:control(FSCTL_READ_USN_JOURNAL, 
        ReadData,
        ffi.sizeof(ReadData),
        Buffer,
        BUF_LEN);

	if not success then 
		return false, err
	end

	local UsnRecord = ffi.cast("PUSN_RECORD", ffi.cast("PUCHAR",Buffer) + ffi.sizeof("USN")); 

    return UsnRecord;
end

return ChangeJournal;

This very much looks like the change journal I created a few months back. The primary difference is the device control stuff is abstracted out into the Device object, so it does not need to be repeated here.

When we want to track the changes to the device, we make repeated calls to ‘waitForNextEntry’.

local function test_waitForNextEntry(journal)
    local entry = journal:waitForNextEntry();

    while entry do
        printJournalEntry(entry);
        entry = journal:waitForNextEntry();
    end
end

This is your typical serially written code. There’s nothing that look special about it, no hint of async processing. Behind the covers though, way back in the Device:control() function, the actual sending of a command to the device happens using IO Completion Port, so if you’re running with TINN, this particular task will ‘waitForIO’, and other tasks can continue.

So, using it in context looks like this:

local function main()
    local journal, err = ChangeJournal("c:")

    spawn(test_waitForNextEntry, journal);
    periodic(function() print("tick") end, 1000)
end

run(main)

In this case, I spawn the journal waiting/printing thing as its own task. Then I setup a periodic timer to simply print “tick” every second, to show there is some activity.

Since the journaling is cooperative (mostly waiting for io control to complete), the periodic timer, or UI processing, or what have you, is free to run, without any hindrance.

Combine this with the already cooperative UI stuff, and you can imagine how easy it could be to construct the scenario I set out to construct. Since all networking and file system operations in TINN are automatically async, it would be easy to log these values, or send them across a network to be stored for later analysis or what have you.

And there you have it. Async everywhere makes for some very nice scenarios. Being able to do async on any device, whether with standard read/write operations, or io control, makes for very flexible programming.

Next time around, I’m going to show how to do async DNS queries for fun and profit.


TINN Version 0.7 Available

Although TINN is under constant development, there’s nothing like declaring a new “release”. It’s been 3 months since the 0.6 release. So, now there is a 0.7 release. You can read about the TINN v0.7 Release and install it if you would like.

There were 84 commits since the previous release, so I can’t even remember all the changes that were involved. The major addition from my most recent work has to do with the new scheduler as described on this blog. That’s the extensible, plug-in driven scheduler. Pretty nifty for my work at least.

There are quite a few additions, such as a revamped stream object, io completion port supported file interface, a logfile thing, and quite a few more interfaces from the OS.

Other items I have been working on include support for various COM interfaces such as DXGI, DXVA, MMDevice and some others. There are all in the “experimental” folder if you look at the enlistment. They are not quite ready for prime time, so they’re not actually in the v0.7 release.

What can you do with TINN? In short, you can create all sorts of Windows based applications. Everything from scalable web services to interactive multi-tasking UI (including OpenGL based).

TINN is a command line tool (tinn.exe). As such, the easiest thing to do is bring up a command line shell and run various scripts through tinn.

c:\> tinn.exe hello.lua

The TINN repository contains numerous test cases that utilize the various modules of TINN.

That’s it for now.  Next release will be about cleanup and stabilization primarily.


Parallel Conversations

I have been tinkering with words of late. I’ve added ‘waitFor’, ‘when’ and ‘whenever’ to the TINN lexicon, and my programming is becoming easier, more organized, and easier to describe.

Recently I added another set of words: ‘waitSignal’, ‘signalOne’, and ‘signalAll’. If you were using another system, you might call these ‘events’, but really they’re just signaling.

Here’s how I might use them:

local Application = require("Application")(true)

local function waiter(num)
  num = num or 0

  local function closure()
    print(string.format("WAITED: %d",num))
  end

  return closure;
end

local function main()

  for i=1,4 do
    onSignal(waiter(i), "waiting")
  end

  -- signal only one of them
  signalOne("waiting")

  -- sleep a bit giving other tasks
  -- a chance to run
  sleep(500)

  -- signal the rest of them	
  signalAll("waiting"))
  sleep(2000)
	
  print("SLEEP AFTER signalAll")
end

run(main)

First, it spawns 4 tasks which will all be waiting on the ‘waiting’ signal. With ‘signalOne’, only 1 of the 4 waiting tasks will be awakened and continue execution. With the ‘signalAll’, the rest of the waiting tasks are all scheduled to run, and thus continue from where they left of.

The core primitive for signaling is the ‘waitSignal()’ function. This will essentially suspend the currently running task until the specified signal has been given. The ‘onSignal()’ function is a convenience which will spawn a separate task which will do the waiting and execute the specified function at the appropriate time.

If you were using another language, these might be ‘onEvent()’ and ‘emit()’. Of course it’s really easy to code up that way, just create a name alias to whatever you like. You could even do:

local function on(eventName, func)
  return onSignal(func, eventName)
end

So, these are some more words that are in the parallel programming arsenal. In totality, the set is:

Time related

  • sleep
  • delay
  • periodic

Predicates

  • waitFor
  • when
  • whenever

Signaling

  • onSignal
  • signalOne
  • signalAll
  • waitSignal

Task and scheduler

  • run
  • stop
  • spawn
  • yield

With these words in hand, doing my multi-task programming is becoming easier by the moment. I don’t worry about the lower level multi-tasking primitive such as mutexes, locks, and the like. I’m not really that concerned with timers, thread pools, or any of the other machinery that makes this all happen. I just write my simple code.

One thing has struck me though. This is all great for a single threaded environment. Basically collaborative multi-tasking. In this age of super fast CPUs, it turns out that going single threaded is just fine. In many cases it’s actually better than going preemptive multi-threaded because you don’t necessarily incur as much OS thread level context switching.

I’d like to go one step further though. A long time ago we didn’t have L1/L2 caches on the CPUs, then they came along, got better, and now are fairly large. As a programmer, my concern for them is fairly minimal. I don’t do much to ensure that the caches are used properly. I just write my code, and either the compiler, or the CPU itself deals with all the mechanics. Same goes with prefetching instructions and the like. I don’t write my code to make that job any easier, it just happens automagically.

Here I am contemplating the same thing about threads. As my CPU has increasingly more cores, I am wondering if the CPU cycles should be viewed the same as we viewed levels of memory in the past. Is the a C1/C2 level of core execution. That is, most things should stay on the same thread because switching to a different core is costly. Something very low level should decide on when that switching occurs.

My application/runtime can know a lot about what I’m going to do because the thing is all laid out in script. After some analysis, perhaps I can decide “this thing is going to sleep for more than 500 ms, therefore I’m going to actually put it over here on this other thread which is actually sleeping.”. In that way, I can reduce my resource usage because I won’t be polling the timer every time through the scheduling loop, I can be smarter.

If I had such smartness, then when I have 16 – 100 cores, I’ll be able to easily take advantage of those multiple cores without having to truly understand and navigate that madness on my own. Let the machine figure it out, it’s much better at that than I am.

In the meanwhile, I’ve got these multi-tasking primitives which are making my life a lot easier when it comes to programming fairly complex systems.


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