﻿<?xml version="1.0" encoding="utf-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Manifold Community Site: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232</link><description>Manifold Community Site thread</description><image><url>http://95.79.92.2:8080/forum/images/img-logo.png</url><title>Manifold Community Site: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232</link></image><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165233</link><description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I have a drawing of roads that I want to split at intersections with other roads. My starting situation is like the image below. Two lines that meet at an infliction point.&lt;/P&gt;&lt;P&gt;&lt;IMG class='cons' id='i165233x0_elt' onclick="showhideImageElt('i165233x0_elt')" 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'&gt;&lt;/P&gt;&lt;P&gt;I want to end up in a situation where the purple line is broken into two parts as in the following image.&lt;/P&gt;&lt;P&gt;&lt;IMG class='cons' id='i165233x1_elt' onclick="showhideImageElt('i165233x1_elt')" SRC='data:image/png;base64,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'&gt;&lt;/P&gt;&lt;P&gt;Important is that I don&amp;#39;t want to lose the attributes. Class in this example. Any suggestions? I must go fast since i want to run it on millions of lines.&lt;/P&gt;&lt;P&gt;Chris&lt;/P&gt;</description><dc:creator>Sloots</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165233</comments><guid>http://95.79.92.2:8080/forum/t165232#165233</guid><pubDate>Tue, 14 Oct 2025 14:39:40 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165234</link><description>&lt;P&gt;maybe a lead to follow&lt;/P&gt;&lt;P class='code'&gt;&lt;span class=k&gt;SELECT&lt;/span&gt;&amp;#160;*&lt;/P&gt;&lt;P class='code'&gt;&lt;span class=k&gt;FROM&lt;/span&gt;&amp;#160;(&lt;/P&gt;&lt;P class='code'&gt;&amp;#160;&amp;#160;&lt;span class=k&gt;SELECT&lt;/span&gt;&amp;#160;D1.&lt;span class=i&gt;[mfd_id]&lt;/span&gt;&amp;#160;&lt;span class=k&gt;AS&lt;/span&gt;&amp;#160;LINE1,&amp;#160;FIRST(&amp;#160;D1.&lt;span class=i&gt;[Geom]&lt;/span&gt;)&amp;#160;&lt;span class=k&gt;AS&lt;/span&gt;&amp;#160;GEOM1,&amp;#160;&lt;span class=c&gt;--&amp;#160;ADD&amp;#160;ALL&amp;#160;THE&amp;#160;ATTRIBUTES&amp;#160;FROM&amp;#160;D1&amp;#160;THAT&amp;#160;YOU&amp;#160;WANT&amp;#160;TO&amp;#160;KEEP&amp;#160;HERE&lt;/span&gt;&lt;/P&gt;&lt;P class='code'&gt;&amp;#160;&amp;#160;&lt;span class=k&gt;SPLIT&lt;/span&gt;&amp;#160;CALL&amp;#160;GeomToBranches(GeomNormalize(GeomMergeLines(D2.&lt;span class=i&gt;[Geom]&lt;/span&gt;),&amp;#160;0))&amp;#160;&lt;span class=c&gt;--&amp;#160;MERGE,&amp;#160;NORMALIZE&amp;#160;TO&amp;#160;GENERATE&amp;#160;BRANCHES&amp;#160;AND&amp;#160;SPLIT&amp;#160;BY&amp;#160;BRANCHES,&amp;#160;THANKS&amp;#160;TO&amp;#160;ADAM&lt;/span&gt;&lt;/P&gt;&lt;P class='code'&gt;&amp;#160;&amp;#160;&lt;span class=k&gt;FROM&lt;/span&gt;&amp;#160;&lt;span class=i&gt;[Drawing]&lt;/span&gt;&amp;#160;&lt;span class=k&gt;AS&lt;/span&gt;&amp;#160;D1&lt;/P&gt;&lt;P class='code'&gt;&amp;#160;&amp;#160;&lt;span class=k&gt;INNER&lt;/span&gt;&amp;#160;&lt;span class=k&gt;JOIN&lt;/span&gt;&amp;#160;&lt;span class=i&gt;[Drawing]&lt;/span&gt;&amp;#160;&lt;span class=k&gt;AS&lt;/span&gt;&amp;#160;D2&lt;/P&gt;&lt;P class='code'&gt;&amp;#160;&amp;#160;&amp;#160;&amp;#160;&lt;span class=k&gt;ON&lt;/span&gt;&amp;#160;&amp;#160;geomtouches(d1.&lt;span class=i&gt;[Geom]&lt;/span&gt;,d2.&lt;span class=i&gt;[Geom]&lt;/span&gt;,0)&lt;/P&gt;&lt;P class='code'&gt;&amp;#160;&amp;#160;&lt;span class=k&gt;GROUP&lt;/span&gt;&amp;#160;&lt;span class=k&gt;BY&lt;/span&gt;&amp;#160;&amp;#160;D1.&lt;span class=i&gt;[mfd_id]&lt;/span&gt;&amp;#160;&lt;/P&gt;&lt;P class='code'&gt;)&lt;/P&gt;&lt;P class='code'&gt;&lt;span class=k&gt;WHERE&lt;/span&gt;&amp;#160;GEOMCONTAINS(GEOM1,&amp;#160;VALUE,0)&amp;#160;&lt;span class=c&gt;--&amp;#160;TO&amp;#160;REMOVE&amp;#160;THE&amp;#160;NEIGHBOUR&amp;#160;LINES&amp;#160;USED&amp;#160;TO&amp;#160;SPLIT&amp;#160;AND&amp;#160;KEEP&amp;#160;ONLY&amp;#160;THE&amp;#160;PARTS&amp;#160;OF&amp;#160;THE&amp;#160;LINE&lt;/span&gt;&lt;/P&gt;</description><dc:creator>apo</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165234</comments><guid>http://95.79.92.2:8080/forum/t165232#165234</guid><pubDate>Tue, 14 Oct 2025 19:37:40 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165240</link><description>&lt;P&gt;Thanks a lot. I took a while before I realised that [Value] contains the geometries I was looking for!&lt;/P&gt;</description><dc:creator>Sloots</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165240</comments><guid>http://95.79.92.2:8080/forum/t165232#165240</guid><pubDate>Wed, 15 Oct 2025 07:36:30 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165241</link><description>&lt;P&gt;yes that&amp;#39;s one of the limit of M9 which does not allow you to directly add an alias to the results of CALL, I should have done it in the last SELECT instead of *. The same problem, even worse, with the SPLIT COLLECT which add a strange char in the name&lt;/P&gt;</description><dc:creator>apo</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165241</comments><guid>http://95.79.92.2:8080/forum/t165232#165241</guid><pubDate>Wed, 15 Oct 2025 07:44:13 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165242</link><description>&lt;P&gt;I don&amp;#39;t think it&amp;#39;s fair to call this a limit(ation).&lt;/P&gt;&lt;P&gt;An extra wrap easily does the renaming.&lt;/P&gt;&lt;P&gt;Unlike other platforms (notably M8), Manifold 9 does this for free.&lt;/P&gt;&lt;P&gt;Apart from the extra jot (perhaps) at compile time, a redundant extra wrap costs no execution time at all.&lt;/P&gt;&lt;P&gt;In M8, SQL is interpreted. Any knobbly syntax means that stuff has to be shuffled around in memory at runtime.&lt;/P&gt;&lt;P&gt;In M9, SQL is compiled. Only actual work is done.&lt;/P&gt;&lt;P&gt;Among other things, redundant layers (including those that only do renaming) are 100% free in Manifold 9.&lt;/P&gt;&lt;P&gt;You can spill ink.&lt;/P&gt;</description><dc:creator>tjhb</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165242</comments><guid>http://95.79.92.2:8080/forum/t165232#165242</guid><pubDate>Thu, 16 Oct 2025 06:12:43 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165243</link><description>&lt;P&gt;Thanks Tim to both correct my english and my use of the word limitation.&lt;/P&gt;&lt;P&gt;I should have say &amp;quot;M9 does not allow you to add an alias directly&amp;quot;.&lt;/P&gt;&lt;P&gt;My remark on the &amp;quot;problem&amp;quot; (only based on my own interpretation) of an extra char in the result of the SPLIT COLLECT remains ( as mentioned &lt;A HREF='t153944.25#153957'&gt;here&lt;/A&gt; and reported as bug) &lt;/P&gt;</description><dc:creator>apo</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165243</comments><guid>http://95.79.92.2:8080/forum/t165232#165243</guid><pubDate>Thu, 16 Oct 2025 17:22:02 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165244</link><description>&lt;P&gt;I&amp;#39;ve tried a few test cases and the extra character (a \u0001) inserted after the . character in the concatenated composite field created by the query looks like a bug to me. It&amp;#39;s always that Unicode character and always at the beginning of the name concatenated after the . character.   Just guessing, but looks like it might be the result of a simple fence-posting error when building the concatenated name.  I&amp;#39;ve reported it in case the original bug report got overlooked somehow.&lt;/P&gt;</description><dc:creator>Dimitri</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165244</comments><guid>http://95.79.92.2:8080/forum/t165232#165244</guid><pubDate>Fri, 17 Oct 2025 06:16:36 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165245</link><description>&lt;P&gt;another option of course would be to use Normalize Topology in Manifold 8.  Just make sure to &lt;B&gt;set the Transfer Rules to Copy/Copy&lt;/B&gt;.  You can use the Transform Bar, or write a quick little script:&lt;/P&gt;&lt;P class='code'&gt;&lt;span class=k&gt;Sub&lt;/span&gt;&amp;#160;Main&lt;/P&gt;&lt;P class='code'&gt;&lt;SPAN&gt;&lt;SPAN&gt;&amp;#160;&lt;/SPAN&gt;&lt;span class=k&gt;Set&lt;/span&gt;&amp;#160;theDrawing&amp;#160;=&amp;#160;document.ComponentSet(&lt;span class=s&gt;&amp;quot;D&amp;quot;&lt;/span&gt;)&lt;/SPAN&gt;&lt;/P&gt;&lt;P class='code'&gt;&lt;SPAN&gt;&lt;SPAN&gt;&amp;#160;&lt;/SPAN&gt;&lt;span class=k&gt;Set&lt;/span&gt;&amp;#160;NewAnalyzer&amp;#160;=&amp;#160;document.NewAnalyzer&lt;/SPAN&gt;&lt;/P&gt;&lt;P class='code'&gt;&lt;SPAN&gt;&lt;SPAN&gt;&amp;#160;&lt;/SPAN&gt;NewAnalyzer.NormalizeTopology&amp;#160;theDrawing,theDrawing.ObjectSet&lt;/SPAN&gt;&lt;/P&gt;&lt;P class='code'&gt;&lt;span class=k&gt;End&lt;/span&gt;&amp;#160;&lt;span class=k&gt;Sub&lt;/span&gt;&lt;/P&gt;&lt;P&gt;that&amp;#39;s it.  It really is that easy in Manifold 8 :-)&lt;/P&gt;</description><dc:creator>artlembo</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165245</comments><guid>http://95.79.92.2:8080/forum/t165232#165245</guid><pubDate>Sat, 18 Oct 2025 01:02:49 GMT</pubDate></item><item><title>RE: Split lines at intersection</title><link>http://95.79.92.2:8080/forum/t165232#165320</link><description>&lt;P&gt;That was the solution I was thinking, Normalize Topology does that with 3 clics. Chris how did you solve it? Run it in M8 at the end?&lt;/P&gt;&lt;P&gt;Cheers and Happy Thanksgiving to all our friends in the USA. &lt;/P&gt;</description><dc:creator>tomasfa</dc:creator><comments>http://95.79.92.2:8080/forum/t165232#165320</comments><guid>http://95.79.92.2:8080/forum/t165232#165320</guid><pubDate>Sun, 30 Nov 2025 08:00:18 GMT</pubDate></item></channel></rss>