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  • Create Auto Customization Criteria OAF Search Page

    - by PRajkumar
    1. Create a New Workspace and Project Right click Workspaces and click create new OAworkspace and name it as PRajkumarCustSearch. Automatically a new OA Project will also be created. Name the project as CustSearchDemo and package as prajkumar.oracle.apps.fnd.custsearchdemo   2. Create a New Application Module (AM) Right Click on CustSearchDemo > New > ADF Business Components > Application Module Name -- CustSearchAM Package -- prajkumar.oracle.apps.fnd.custsearchdemo.server   3. Enable Passivation for the Root UI Application Module (AM) Right Click on CustSearchAM > Edit SearchAM > Custom Properties > Name – RETENTION_LEVEL Value – MANAGE_STATE Click add > Apply > OK   4. Create Test Table and insert data some data in it (For Testing Purpose)   CREATE TABLE xx_custsearch_demo (   -- ---------------------     -- Data Columns     -- ---------------------     column1                  VARCHAR2(100),     column2                  VARCHAR2(100),     column3                  VARCHAR2(100),     column4                  VARCHAR2(100),     -- ---------------------     -- Who Columns     -- ---------------------     last_update_date    DATE         NOT NULL,     last_updated_by     NUMBER   NOT NULL,     creation_date          DATE         NOT NULL,     created_by               NUMBER   NOT NULL,     last_update_login   NUMBER  );   INSERT INTO xx_custsearch_demo VALUES('v1','v2','v3','v4',SYSDATE,0,SYSDATE,0,0); INSERT INTO xx_custsearch_demo VALUES('v1','v3','v4','v5',SYSDATE,0,SYSDATE,0,0); INSERT INTO xx_custsearch_demo VALUES('v2','v3','v4','v5',SYSDATE,0,SYSDATE,0,0); INSERT INTO xx_custsearch_demo VALUES('v3','v4','v5','v6',SYSDATE,0,SYSDATE,0,0); Now we have 4 records in our custom table   5. Create a New Entity Object (EO) Right click on SearchDemo > New > ADF Business Components > Entity Object Name – CustSearchEO Package -- prajkumar.oracle.apps.fnd.custsearchdemo.schema.server Database Objects -- XX_CUSTSEARCH_DEMO   Note – By default ROWID will be the primary key if we will not make any column to be primary key   Check the Accessors, Create Method, Validation Method and Remove Method   6. Create a New View Object (VO) Right click on CustSearchDemo > New > ADF Business Components > View Object Name -- CustSearchVO Package -- prajkumar.oracle.apps.fnd.custsearchdemo.server   In Step2 in Entity Page select CustSearchEO and shuttle them to selected list   In Step3 in Attributes Window select columns Column1, Column2, Column3, Column4, and shuttle them to selected list   In Java page deselect Generate Java file for View Object Class: CustSearchVOImpl and Select Generate Java File for View Row Class: CustSearchVORowImpl   7. Add Your View Object to Root UI Application Module Select Right click on CustSearchAM > Application Modules > Data Model Select CustSearchVO and shuttle to Data Model list   8. Create a New Page Right click on CustSearchDemo > New > Web Tier > OA Components > Page Name -- CustSearchPG Package -- prajkumar.oracle.apps.fnd.custsearchdemo.webui   9. Select the CustSearchPG and go to the strcuture pane where a default region has been created   10. Select region1 and set the following properties: ID -- PageLayoutRN Region Style -- PageLayout AM Definition -- prajkumar.oracle.apps.fnd.custsearchdemo.server.CustSearchAM Window Title – AutoCustomize Search Page Window Title – AutoCustomization Search Page Auto Footer -- True   11. Add a Query Bean to Your Page Right click on PageLayoutRN > New > Region Select new region region1 and set following properties ID – QueryRN Region Style – query Construction Mode – autoCustomizationCriteria Include Simple Panel – False Include Views Panel – False Include Advanced Panel – False   12. Create a New Region of style table Right Click on QueryRN > New > Region Using Wizard Application Module – prajkumar.oracle.apps.fnd.custsearchdemo.server.CustSearchAM Available View Usages – CustSearchVO1   In Step2 in Region Properties set following properties Region ID – CustSearchTable Region Style – Table   In Step3 in View Attributes shuttle all the items (Column1, Column2, Column3, Column4) available in “Available View Attributes” to Selected View Attributes: In Step4 in Region Items page set style to “messageStyledText” for all items   13. Select CustSearchTable in Structure Panel and set property Width to 100%   14. Include Simple Search Panel Right Click on QueryRN > New > simpleSearchPanel Automatically region2 (header Region) and region1 (MessageComponentLayout Region) created Set Following Properties for region2 Id – SimpleSearchHeader Text -- Simple Search   15. Now right click on message Component Layout Region (SimpleSearchMappings) and create two message text input beans and set the below properties to each   Message TextInputBean1 Id – SearchColumn1 Search Allowed – True Data Type – VARCHAR2 Maximum Length – CSS Class – OraFieldText Prompt – Column1   Message TextInputBean2 Id – SearchColumn2 Search Allowed -- True Data Type – VARCHAR2 Maximum Length – 100 CSS Class – OraFieldText Prompt – Column2   16. Now Right Click on query Components and create simple Search Mappings. Then automatically SimpleSearchMappings and QueryCriteriaMap1 created   17.  Now select the QueryCriteriaMap1 and set the below properties Id – SearchColumn1Map Search Item – SearchColumn1 Result Item – Column1   18. Now again right click on simpleSearchMappings -> New -> queryCriteriaMap, and then set the below properties Id – SearchColumn2Map Search Item – SearchColumn2 Result Item – Column2   19. Congratulation you have successfully finished Auto Customization Search page. Run Your CustSearchPG page and Test Your Work            

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  • How exactly is an Abstract Syntax Tree created?

    - by Howcan
    I think I understand the goal of an AST, and I've build a couple of tree structures before, but never an AST. I'm mostly confused because the nodes are text and not number, so I can't think of a nice way to input a token/string as I'm parsing some code. For example, when I looked at diagrams of AST's, the variable and its value were leaf nodes to an equal sign. This makes perfect sense to me, but how would I go about implementing this? I guess I can do it case by case, so that when I stumble upon an "=" I use that as a node, and add the value parsed before the "=" as the leaf. It just seems wrong, because I'd probably have to make cases for tons and tons of things, depending on the syntax. And then I came upon another problem, how is the tree traversed? Do I go all the way down the height, and go back up a node when I hit the bottom, and do the same for it's neighbor? I've seen tons of diagrams on ASTs, but I couldn't find a fairly simple example of one in code, which would probably help.

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  • k-d tree implementation [closed]

    - by user466441
    when i run my code and debugged,i got this error - this 0x00093584 {_Myproxy=0x00000000 _Mynextiter=0x00000000 } std::_Iterator_base12 * const - _Myproxy 0x00000000 {_Mycont=??? _Myfirstiter=??? } std::_Container_proxy * _Mycont CXX0017: Error: symbol "" not found _Myfirstiter CXX0030: Error: expression cannot be evaluated + _Mynextiter 0x00000000 {_Myproxy=??? _Mynextiter=??? } std::_Iterator_base12 * but i dont know what does it means,code is this #include<iostream> #include<vector> #include<algorithm> using namespace std; struct point { float x,y; }; vector<point>pointleft(4); vector<point>pointright(4); //we are going to implement two comparison function for x and y coordinates,we need it in calculation of median (we should sort vector //by x or y according to depth informaton,is depth even or odd. bool sortby_X(point &a,point &b) { return a.x<b.x; } bool sortby_Y(point &a,point &b) { return a.y<b.y; } //so i am going to implement to median finding algorithm,one for finding median by x and another find median by y point medianx(vector<point>points) { point temp; sort(points.begin(),points.end(),sortby_X); temp=points[(points.size()/2)]; return temp; } point mediany(vector<point>points) { point temp; sort(points.begin(),points.end(),sortby_Y); temp=points[(points.size()/2)]; return temp; } //now construct basic tree structure struct Tree { float x,y; Tree(point a) { x=a.x; y=a.y; } Tree *left; Tree *right; }; Tree * build_kd( Tree *root,vector<point>points,int depth) { point temp; if(points.size()==1)// that point is as a leaf { if(root==NULL) root=new Tree(points[0]); return root; } if(depth%2==0) { temp=medianx(points); root=new Tree(temp); for(int i=0;i<points.size();i++) { if (points[i].x<temp.x) pointleft[i]=points[i]; else pointright[i]=points[i]; } } else { temp=mediany(points); root=new Tree(temp); for(int i=0;i<points.size();i++) { if(points[i].y<temp.y) pointleft[i]=points[i]; else pointright[i]=points[i]; } } return build_kd(root->left,pointleft,depth+1); return build_kd(root->right,pointright,depth+1); } void print(Tree *root) { while(root!=NULL) { cout<<root->x<<" " <<root->y; print(root->left); print(root->right); } } int main() { int depth=0; Tree *root=NULL; vector<point>points(4); float x,y; int n=4; for(int i=0;i<n;i++) { cin>>x>>y; points[i].x=x; points[i].y=y; } root=build_kd(root,points,depth); print(root); return 0; } i am trying ti implement in c++ this pseudo code tuple function build_kd_tree(int depth, set points): if points contains only one point: return that point as a leaf. if depth is even: Calculate the median x-value. Create a set of points (pointsLeft) that have x-values less than the median. Create a set of points (pointsRight) that have x-values greater than or equal to the median. else: Calculate the median y-value. Create a set of points (pointsLeft) that have y-values less than the median. Create a set of points (pointsRight) that have y-values greater than or equal to the median. treeLeft = build_kd_tree(depth + 1, pointsLeft) treeRight = build_kd_tree(depth + 1, pointsRight) return(median, treeLeft, treeRight) please help me what this error means?

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  • Inexpensive generation of hierarchical unique IDs

    - by romaninsh
    My application is building a hierarchical structure like this: root = { 'id': 'root', 'children': [ { 'name': 'root_foo', 'children': [] }, { 'id': 'root_foo2', 'children': [ { 'id': 'root_foo2_bar', 'children': [] } ] } ] } in other words, it's a tree of nodes, where each node might have child elements and unique identifier I call "id". When a new child is added, I need to generate a unique identifier for it, however I have two problems: identifiers are getting too long adding many children takes slower, as I need to find first available id My requirement is: naming of a child X must be determined only from the state in their ancestors When I re-generate tree with same contents, the IDs must be same or in other words, when we have nodes A and B, creating child in A, must not affect the name given to children of B. I know that one way to optimize would be to introduce counter in each node and append it to the names which will solve my performance issue, but will not address the issue with the "long identifiers". Could you suggest me the algorithm for quickly coming up with new IDs?

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  • How should I create a mutable, varied jtree with arbitrary/generic category nodes?

    - by Pureferret
    Please note: I don't want coding help here, I'm on Programmers for a reason. I want to improve my program planning/writing skills not (just) my understanding of Java. I'm trying to figure out how to make a tree which has an arbitrary category system, based on the skills listed for this LARP game here. My previous attempt had a bool for whether a skill was also a category. Trying to code around that was messy. Drawing out my tree I noticed that only my 'leaves' were skills and I'd labeled the others as categories. Explanation of tree: The Tree is 'born' with a set of hard coded highest level categories (Weapons, Physical and Mental, Medical etc.). Fro mthis the user needs to be able to add a skill. Ultimately they want to add 'One-handed Sword Specialisation' for instance. To do so you'd ideally click 'add' with Weapons selected and then select One-handed from a combobox, then click add again and enter a name in a text field. Then click add again to add a 'level' or 'tier' first proficiency, then specialisation. Of course if you want to buy a different skill it's completely different, which is what I'm having trouble getting my head around let alone programming in. What is a good system for describing this sort of tree in code? All the other JTree examples I've seen have some predictable pattern, and I don't want to have to code this all in 'literals'. Should I be using abstract classes? Interfaces? How can I make this sort of cluster of objects extensible when I add in other skills not listed above that behave differently? If there is not a good system to use, if there a good process for working out how to do this sort of thing?

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  • Traverse tree with results. Maybe type in Java?

    - by Angelo.Hannes
    I need to check a tree's node state. It can either be OK or NOT_OK. But that state is dependent on its children. So for a node to be OK, every of its children needs to be OK. If one or more of its children is NOT_OK the whole node is NOT_OK. To determine the state of a node I need to aggregate some properties of the node. So I thought of two possible implementations. And they are more or less covered in this question: Why is Option/Maybe considered a good idea and checked exceptions are not? Exception I could pass the properties up the recursion path, and throw an exception if something went wrong. Maybe I implement an Maybe type and let it either hold an error or the aggregated properties. Maybe it is more an Either. I tend towards the last option. And I'm thinking of an enum with two objects. Where I can additionally set those aggregated properties. Am I on the right track? I'm not familiar with the new JDK8 functional stuff. But I'm stuck on JDK7 anyway, so please focus on JDK7.

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  • Patterns for a tree of persistent data with multiple storage options?

    - by Robin Winslow
    I have a real-world problem which I'll try to abstract into an illustrative example. So imagine I have data objects in a tree, where parent objects can access children, and children can access parents: // Interfaces interface IParent<TChild> { List<TChild> Children; } interface IChild<TParent> { TParent Parent; } // Classes class Top : IParent<Middle> {} class Middle : IParent<Bottom>, IChild<Top> {} class Bottom : IChild<Middle> {} // Usage var top = new Top(); var middles = top.Children; // List<Middle> foreach (var middle in middles) { var bottoms = middle.Children; // List<Bottom> foreach (var bottom in bottoms) { var middle = bottom.Parent; // Access the parent var top = middle.Parent; // Access the grandparent } } All three data objects have properties that are persisted in two data stores (e.g. a database and a web service), and they need to reflect and synchronise with the stores. Some objects only request from the web service, some only write to it. Data Mapper My favourite pattern for data access is Data Mapper, because it completely separates the data objects themselves from the communication with the data store: class TopMapper { public Top FetchById(int id) { var top = new Top(DataStore.TopDataById(id)); top.Children = MiddleMapper.FetchForTop(Top); return Top; } } class MiddleMapper { public Middle FetchById(int id) { var middle = new Middle(DataStore.MiddleDataById(id)); middle.Parent = TopMapper.FetchForMiddle(middle); middle.Children = BottomMapper.FetchForMiddle(bottom); return middle; } } This way I can have one mapper per data store, and build the object from the mapper I want, and then save it back using the mapper I want. There is a circular reference here, but I guess that's not a problem because most languages can just store memory references to the objects, so there won't actually be infinite data. The problem with this is that every time I want to construct a new Top, Middle or Bottom, it needs to build the entire object tree within that object's Parent or Children property, with all the data store requests and memory usage that that entails. And in real life my tree is much bigger than the one represented here, so that's a problem. Requests in the object In this the objects request their Parents and Children themselves: class Middle { private List<Bottom> _children = null; // cache public List<Bottom> Children { get { _children = _children ?? BottomMapper.FetchForMiddle(this); return _children; } set { BottomMapper.UpdateForMiddle(this, value); _children = value; } } } I think this is an example of the repository pattern. Is that correct? This solution seems neat - the data only gets requested from the data store when you need it, and thereafter it's stored in the object if you want to request it again, avoiding a further request. However, I have two different data sources. There's a database, but there's also a web service, and I need to be able to create an object from the web service and save it back to the database and then request it again from the database and update the web service. This also makes me uneasy because the data objects themselves are no longer ignorant of the data source. We've introduced a new dependency, not to mention a circular dependency, making it harder to test. And the objects now mask their communication with the database. Other solutions Are there any other solutions which could take care of the multiple stores problem but also mean that I don't need to build / request all the data every time?

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  • How to find optimal path visit every node with parallel workers complicated by dynamic edge costs?

    - by Aaron Anodide
    Say you have an acyclic directed graph with weighted edges and create N workers. My goal is to calculate the optimal way those workers can traverse the entire graph in parralel. However, edge costs may change along the way. Example: A -1-> B A -2-> C B -3-> C (if A has already been visited) B -5-> C (if A has not already been visited) Does what I describe lend itself to a standard algorithmic approach, or alternately can someone suggest if I'm looking at this in an inherently flawed way (i have an intuition I might be)?

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  • ASP.NET MVC search route

    - by sahina
    I setup a search route: routes.MapRoute( "Search", "Search/{q}", new { controller = "Search", action = "Index" } ); The search form has an input box and a button. I want the search with a GET as below. <% using(Html.BeginForm("Index", "Search", FormMethod.Get)) {%> <%:Html.TextBox("q")%> <span class="query-button"> <input type="submit" value="select" /></span> <% } %> </div> The action on the SearchController is: public ActionResult Index(string q) { // search logic here return View(new SearchResult(q)); } The URL becomes like this: http://localhost:19502/search?q=mvc+is+great But I want the search to be like: http://localhost:19502/search/mvc+is+great How do I setup the route or the Html.BeginForm

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  • Duplicate GET request from multiple IPs - can anyone explain this?

    - by dwq
    We've seen a pattern in our webserver access logs which we're having problem explaining. A GET request appears in the access log which is a legitimate, but private, url as part of normal e-commerce website use (by private, we mean there is a unique key in a url form variable generated specifically for that customer session). Then a few seconds later we get hit with an identical request maybe 10-15 times within the space of a second. The duplicate requests are all from different IP addresses. The UserAgent for the duplicates are all the same (but different from the original request). The reverse DNS lookup on the IPs for all the duplicates requests resolve to the same large hosting company. Can anyone think of a scenario what would explain this? EDIT 1 Here's an example that's probably anonymised beyond being any actual use, but it might give an idea of the sort of pattern we're seeing (it's from a search query as they sometimes get duplicated too): xx.xx.xx.xx - - [21/Jun/2013:21:42:57 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "http://www.ourdomain.com/index.html" "Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)" xx.xx.xx.xx - - [21/Jun/2013:21:43:03 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:03 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" xx.xx.xx.xx - - [21/Jun/2013:21:43:04 +0100] "GET /search.html?search=widget&Submit=Search HTTP/1.0" 200 5475 "" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_7) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.91 Safari/534.30" UPDATE 2 Sometimes it is part of a checkout flow that's duplicated to I'd think twitter is unlikely.

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  • How does java.util.Collections.contains() perform faster than a linear search?

    - by The111
    I've been fooling around with a bunch of different ways of searching collections, collections of collections, etc. Doing lots of stupid little tests to verify my understanding. Here is one which boggles me (source code further below). In short, I am generating N random integers and adding them to a list. The list is NOT sorted. I then use Collections.contains() to look for a value in the list. I intentionally look for a value that I know won't be there, because I want to ensure that the entire list space is probed. I time this search. I then do another linear search manually, iterating through each element of the list and checking if it matches my target. I also time this search. On average, the second search takes 33% longer than the first one. By my logic, the first search must also be linear, because the list is unsorted. The only possibility I could think of (which I immediately discard) is that Java is making a sorted copy of my list just for the search, but (1) I did not authorize that usage of memory space and (2) I would think that would result in MUCH more significant time savings with such a large N. So if both searches are linear, they should both take the same amount of time. Somehow the Collections class has optimized this search, but I can't figure out how. So... what am I missing? import java.util.*; public class ListSearch { public static void main(String[] args) { int N = 10000000; // number of ints to add to the list int high = 100; // upper limit for random int generation List<Integer> ints; int target = -1; // target will not be found, forces search of entire list space long start; long end; ints = new ArrayList<Integer>(); start = System.currentTimeMillis(); System.out.print("Generating new list... "); for (int i = 0; i < N; i++) { ints.add(((int) (Math.random() * high)) + 1); } end = System.currentTimeMillis(); System.out.println("took " + (end-start) + "ms."); start = System.currentTimeMillis(); System.out.print("Searching list for target (method 1)... "); if (ints.contains(target)) { // nothing } end = System.currentTimeMillis(); System.out.println(" Took " + (end-start) + "ms."); System.out.println(); ints = new ArrayList<Integer>(); start = System.currentTimeMillis(); System.out.print("Generating new list... "); for (int i = 0; i < N; i++) { ints.add(((int) (Math.random() * high)) + 1); } end = System.currentTimeMillis(); System.out.println("took " + (end-start) + "ms."); start = System.currentTimeMillis(); System.out.print("Searching list for target (method 2)... "); for (Integer i : ints) { // nothing } end = System.currentTimeMillis(); System.out.println(" Took " + (end-start) + "ms."); } }

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  • UBJsonReader (Libgdx) unable to to read UBJson from Python(Blender)

    - by daniel
    I am working on an export tool from Blender to Libgdx, exports like custom attributes and other information (Almost completed), this is a very cool tool that will speed up a lot your works, after I completed I will send to public to contribute forum, Export format is uses python's Standard Json module and readable text, it of course works fine, but I wanna also have a Binary Json export for faster load, so users can Export Straight to Libgdx, but after I search I found that UBJson with draft9.py (simpleubjson 0.6.1) encode is seems matches with one FBXConverter's UBJsonWriter( Xoppa wrote), but when I export, I am not able to read the file, and send this errors (Java heap space) seems this is a different between byte sizes in UBJson(python) and UBJsonReader. how can I write a correct one in python that matches with Libgdx's UBJsonReader, and would be cross-platform? Exception in thread "LWJGL Application" com.badlogic.gdx.utils.GdxRuntimeException: java.lang.OutOfMemoryError: Java heap space at com.badlogic.gdx.backends.lwjgl.LwjglApplication$1.run(LwjglApplication.java:120) Caused by: java.lang.OutOfMemoryError: Java heap space at com.badlogic.gdx.utils.UBJsonReader.readString(UBJsonReader.java:162) at com.badlogic.gdx.utils.UBJsonReader.parseString(UBJsonReader.java:150) at com.badlogic.gdx.utils.UBJsonReader.parseObject(UBJsonReader.java:112) at com.badlogic.gdx.utils.UBJsonReader.parse(UBJsonReader.java:59) at com.badlogic.gdx.utils.UBJsonReader.parse(UBJsonReader.java:52) at com.badlogic.gdx.utils.UBJsonReader.parse(UBJsonReader.java:36) at com.badlogic.gdx.utils.UBJsonReader.parse(UBJsonReader.java:45) at com.me.gdximportexport.GdxImportExport.create(GdxImportExport.java:43) at com.badlogic.gdx.backends.lwjgl.LwjglApplication.mainLoop(LwjglApplication.java:136) at com.badlogic.gdx.backends.lwjgl.LwjglApplication$1.run(LwjglApplication.java:114) Tested on UbuntuStudio 13.10 with OpenJdk 7, and Windows 7 with jdk 7 Thanks for any guides.

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  • Can not search my company howto blog site anylonger in Sharepoint

    - by Worldunix
    I have a Howto company Blog site that i post to for my clients to access for help. For some reason it has stopped letting anyone search on it. I can search for Mysites or users. But when you drop down the tab to search: This Site: "blog site name" you get the following reply: No results matching your search were found. Check your spelling. Are the words in your query spelled correctly? Try using synonyms. Maybe what you're looking for uses slightly different words. Make your search more general. Try more general terms in place of specific ones. Try your search in a different scope. Different scopes can have different results. I have tried the following command: from the Index server net stop osearch net start osearch iisreset /noforce But still not able to search a local blog site I can only search for users and Sites. please help Don

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  • Can not search my company howto blog site anylonger in Sharepoint

    - by Worldunix
    I have a Howto company Blog site that i post to for my clients to access for help. For some reason it has stopped letting anyone search on it. I can search for Mysites or users. But when you drop down the tab to search: This Site: "blog site name" you get the following reply: No results matching your search were found. Check your spelling. Are the words in your query spelled correctly? Try using synonyms. Maybe what you're looking for uses slightly different words. Make your search more general. Try more general terms in place of specific ones. Try your search in a different scope. Different scopes can have different results. I have tried the following command: from the Index server net stop osearch net start osearch iisreset /noforce But still not able to search a local blog site I can only search for users and Sites. please help Don

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  • Removing malware of a particular kind

    - by Cyclone
    I need to remove some malware from my computer. It is a trojan, and very annoying. It blocks access to Google and search sites. The trojan, with its name spelled out on each line cause it seems to block sites when i reference it in a url, is a r t (some text to mess it up) e m (more text i s First off, what is it, what does it do? Second, why can't I access google or yahoo or any other search sites at all? Third, can it be removed via McAffee? It says it quarantined it when I scanned I found a suspicious process "c"s"r"s"s".exe and it will not let me terminate it, and this is what Mcaffee says it is. Why on earth isn't Mcaffee getting rid of it? I even blocked internet access for this program. Thanks so much, I get kinda freaked out with things like this... Here is my entire Hosts file: 127.0.0.1 go.mail.ru 127.0.0.1 nova.rambler.ru 127.0.0.1 google.ad 127.0.0.1 www.google.ad 127.0.0.1 google.ae 127.0.0.1 www.google.ae 127.0.0.1 google.am 127.0.0.1 www.google.am 127.0.0.1 google.com.ar 127.0.0.1 www.google.com.ar 127.0.0.1 google.as 127.0.0.1 www.google.as 127.0.0.1 google.at 127.0.0.1 www.google.at 127.0.0.1 google.com.au 127.0.0.1 www.google.com.au 127.0.0.1 google.az 127.0.0.1 www.google.az 127.0.0.1 google.ba 127.0.0.1 www.google.ba 127.0.0.1 google.be 127.0.0.1 www.google.be 127.0.0.1 google.bg 127.0.0.1 www.google.bg 127.0.0.1 google.bs 127.0.0.1 www.google.bs 127.0.0.1 google.com.by 127.0.0.1 www.google.com.by 127.0.0.1 google.ca 127.0.0.1 www.google.ca 127.0.0.1 google.ch 127.0.0.1 www.google.ch 127.0.0.1 google.cn 127.0.0.1 www.google.cn 127.0.0.1 google.cz 127.0.0.1 www.google.cz 127.0.0.1 google.de 127.0.0.1 www.google.de 127.0.0.1 google.dk 127.0.0.1 www.google.dk 127.0.0.1 google.ee 127.0.0.1 www.google.ee 127.0.0.1 google.es 127.0.0.1 www.google.es 127.0.0.1 google.fi 127.0.0.1 www.google.fi 127.0.0.1 google.fr 127.0.0.1 www.google.fr 127.0.0.1 google.gr 127.0.0.1 www.google.gr 127.0.0.1 google.com.hk 127.0.0.1 www.google.com.hk 127.0.0.1 google.hr 127.0.0.1 www.google.hr 127.0.0.1 google.hu 127.0.0.1 www.google.hu 127.0.0.1 google.ie 127.0.0.1 www.google.ie 127.0.0.1 google.co.il 127.0.0.1 www.google.co.il 127.0.0.1 google.co.in 127.0.0.1 www.google.co.in 127.0.0.1 google.is 127.0.0.1 www.google.is 127.0.0.1 google.it 127.0.0.1 www.google.it 127.0.0.1 google.co.jp 127.0.0.1 www.google.co.jp 127.0.0.1 google.kg 127.0.0.1 www.google.kg 127.0.0.1 google.co.kr 127.0.0.1 www.google.co.kr 127.0.0.1 google.li 127.0.0.1 www.google.li 127.0.0.1 google.lt 127.0.0.1 www.google.lt 127.0.0.1 google.lu 127.0.0.1 www.google.lu 127.0.0.1 google.lv 127.0.0.1 www.google.lv 127.0.0.1 google.md 127.0.0.1 www.google.md 127.0.0.1 google.com.mx 127.0.0.1 www.google.com.mx 127.0.0.1 google.nl 127.0.0.1 www.google.nl 127.0.0.1 google.no 127.0.0.1 www.google.no 127.0.0.1 google.co.nz 127.0.0.1 www.google.co.nz 127.0.0.1 google.com.pe 127.0.0.1 www.google.com.pe 127.0.0.1 google.com.ph 127.0.0.1 www.google.com.ph 127.0.0.1 google.pl 127.0.0.1 www.google.pl 127.0.0.1 google.pt 127.0.0.1 www.google.pt 127.0.0.1 google.ro 127.0.0.1 www.google.ro 127.0.0.1 google.ru 127.0.0.1 www.google.ru 127.0.0.1 google.com.ru 127.0.0.1 www.google.com.ru 127.0.0.1 google.com.sa 127.0.0.1 www.google.com.sa 127.0.0.1 google.se 127.0.0.1 www.google.se 127.0.0.1 google.com.sg 127.0.0.1 www.google.com.sg 127.0.0.1 google.si 127.0.0.1 www.google.si 127.0.0.1 google.sk 127.0.0.1 www.google.sk 127.0.0.1 google.co.th 127.0.0.1 www.google.co.th 127.0.0.1 google.com.tj 127.0.0.1 www.google.com.tj 127.0.0.1 google.tm 127.0.0.1 www.google.tm 127.0.0.1 google.com.tr 127.0.0.1 www.google.com.tr 127.0.0.1 google.com.tw 127.0.0.1 www.google.com.tw 127.0.0.1 google.com.ua 127.0.0.1 www.google.com.ua 127.0.0.1 google.co.uk 127.0.0.1 www.google.co.uk 127.0.0.1 google.co.vi 127.0.0.1 www.google.co.vi 127.0.0.1 google.com 127.0.0.1 www.google.com 127.0.0.1 google.us 127.0.0.1 www.google.us 127.0.0.1 google.com.pl 127.0.0.1 www.google.com.pl 127.0.0.1 google.co.hu 127.0.0.1 www.google.co.hu 127.0.0.1 google.ge 127.0.0.1 www.google.ge 127.0.0.1 google.kz 127.0.0.1 www.google.kz 127.0.0.1 google.co.uz 127.0.0.1 www.google.co.uz 127.0.0.1 bing.com 127.0.0.1 www.bing.com 127.0.0.1 search.yahoo.com 127.0.0.1 ca.search.yahoo.com 127.0.0.1 ar.search.yahoo.com 127.0.0.1 cl.search.yahoo.com 127.0.0.1 co.search.yahoo.com 127.0.0.1 mx.search.yahoo.com 127.0.0.1 espanol.search.yahoo.com 127.0.0.1 qc.search.yahoo.com 127.0.0.1 ve.search.yahoo.com 127.0.0.1 pe.search.yahoo.com 127.0.0.1 at.search.yahoo.com 127.0.0.1 ct.search.yahoo.com 127.0.0.1 dk.search.yahoo.com 127.0.0.1 fi.search.yahoo.com 127.0.0.1 fr.search.yahoo.com 127.0.0.1 de.search.yahoo.com 127.0.0.1 it.search.yahoo.com 127.0.0.1 nl.search.yahoo.com 127.0.0.1 no.search.yahoo.com 127.0.0.1 ru.search.yahoo.com 127.0.0.1 es.search.yahoo.com 127.0.0.1 se.search.yahoo.com 127.0.0.1 ch.search.yahoo.com 127.0.0.1 uk.search.yahoo.com 127.0.0.1 asia.search.yahoo.com 127.0.0.1 au.search.yahoo.com 127.0.0.1 one.cn.yahoo.com 127.0.0.1 hk.search.yahoo.com 127.0.0.1 in.search.yahoo.com 127.0.0.1 id.search.yahoo.com 127.0.0.1 search.yahoo.co.jp 127.0.0.1 kr.search.yahoo.com 127.0.0.1 malaysia.search.yahoo.com 127.0.0.1 nz.search.yahoo.com 127.0.0.1 ph.search.yahoo.com 127.0.0.1 sg.search.yahoo.com 127.0.0.1 tw.search.yahoo.com 127.0.0.1 th.search.yahoo.com 127.0.0.1 vn.search.yahoo.com 127.0.0.1 images.google.com 127.0.0.1 images.google.ca 127.0.0.1 images.google.co.uk 127.0.0.1 news.google.com 127.0.0.1 news.google.ca 127.0.0.1 news.google.co.uk 127.0.0.1 video.google.com 127.0.0.1 video.google.ca 127.0.0.1 video.google.co.uk 127.0.0.1 blogsearch.google.com 127.0.0.1 blogsearch.google.ca 127.0.0.1 blogsearch.google.co.uk 127.0.0.1 searchservice.myspace.com 127.0.0.1 ask.com 127.0.0.1 www.ask.com 127.0.0.1 search.aol.com 127.0.0.1 search.netscape.com 127.0.0.1 yandex.ru 127.0.0.1 www.yandex.ru 127.0.0.1 yandex.ua 127.0.0.1 www.yandex.ua 127.0.0.1 search.about.com 127.0.0.1 www.verizon.net 127.0.0.1 verizon.net

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  • Your Job Search Should be More Than Just a New Year's Resolution

    - by david.talamelli
    I love the beginning of a new year, it is a great chance to refocus and either re-evaluate goals you are working to or even set new ones. I don't have any statistics to measure this but I am sure that one of the more popular new year's resolutions in the general workforce is to either get a new job or work to further develop one's career. I think this is a good idea, in today's competitive work force people should have a plan of what they want to do, what role they are after and how to get there. One common mistake I think many people make though is that a career plan shouldn't be a once a year thought. When people finish with the holiday season with their new year's resolution to find a new job fresh in their mind, you can see the enthusiasm and motivation a person has to make something happen. Emails are sent, calls are made, applications are made, networking is happening, etc..... Finding the right role that you are after however can be difficult, while it would be great if that dream role was available just at the time you happened to be looking for it - in reality this is not always the case. Job Seekers need to keep reminding themselves that while sometimes that dream job they are after is available at the same time they are looking, that also a Job search can be a difficult and long process. Many people who set out with the best of intentions in January to find a new job can soon lose interest in a job search if they do not immediately find a role. Just like the Christmas decorations are put away and the photos from New Year's are stored away - a Job Seeker's motivation may slowly decrease until that person finds themselves 12 months later in the same situation in same role and looking for that new opportunity again. Rather than just "going for it" and looking for a role in the month of January, a person's job search or career plan should be an ongoing activity and thought process that is constantly updated and evaluated over the course of the year. It can be hard to stay motivated over an extended period of time, especially when you are newly motivated and ready for that new role and the results are not immediate. Rather than letting your job search fall down the priority list and into the "too hard basket" a few ideas that may keep your enthusiasm fresh Update your resume every 6 months, even if you are not looking for a job - it is easy to forget what you have accomplished if you don't keep your details updated. Also it is good to be prepared and have a resume ready to go in case you do get an unexpected phone call for that 'dream job' you have been hoping for. Work out what you want out of your next role before you begin your job search - rather than aimlessly searching job ads or talking to people - think of the organisations or type of role you would like before you search. If you know what you are looking for it will be much easier to work out how to get there than if you do not know what you want. Don't expect immediate results once you decide to look for another job, things don't always fall into place. Timing and delivery can be important pieces of being selected for a role, companies don't hire every role in January. Have an open mind - people you meet or talk to may not result in immediate results for your job search but every connection may help you get a bit closer to what you are after . These actions will not guarantee a positive result, but in today's competitive work force every little of extra preparation and planning helps. All the best for 2011 and I hope your career plan whatever it may be is a success.

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  • Key Techniques For Search Engine Optimization in 2010

    The art of creating web pages which will rank high in search engine returns is called Search Engine Optimization or SEO. By optimizing certain elements or sections in the HTML code of each page, SEO can be accomplished. The search engines specifically read these sections. The level of optimization can help determine the amount free referral traffic.

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  • NLP - Queries using semantic wildcards in full text searching, maybe with Lucene?

    - by Zsolt
    Let's say I have a big corpus (for example in english or an arbitrary language), and I want to perform some semantic search on it. For example I have the query: "Be careful: [art] armada of [sg] is coming to [do sg]!" And the corpus contains the following sentence: "Be careful: an armada of alien ships is coming to destroy our planet!" It can be seen that my query string could contain "semantic placeholders", such as: [art] - some placeholder for articles (for example a / an in English) [sg], [do sg] - some placeholders for NPs and VPs (subjects and predicates) I would like to develop a library which would be capable to handle these queries efficiently. I suspect that some kind of POS-tagging would be necessary for parsing the text, but because I don't want to fully reimplement an already existing full-text search engine to make it work, I'm considering that how could I integrate this behaviour into a search engine like Lucene? I know there are SpanQueries which could behave similarly in some cases, but as I can see, Lucene doesn't do any semantic stuff with stored texts. It is possible to implement a behavior like this? Or do I have to write an own search engine?

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  • Search Engine Optimisation Companies Push PPC on Mobile Phones

    Search engine optimisation companies are now huddling various strategies to offer search engine optimisation services for mobile browsers. This rapidly growing trend can be clearly seen just by mobile phone users' behavior on how they use their cell phones. Search engines optimisation combined with PPC advertising for mobile gadgets can generate massive profits.

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  • MSDN Search Help

    - by George Evjen
    Looks like MSDN has made a change to their search. If you navigate to http://msdn.microsoft.com You will see their search on the top of the page. If you put in a search term, Silverlight DataBinding You will see results that are pulled from the forums of msdn, stackover flow and a few other places. You will also be able to see the number of replies to the thread and the threads that have been answered. Great resource..

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  • Local Search Engine Optimization - Why Use Local SEO?

    Local search engine optimization is the new optimization technique to help improve ones local efforts in your hometown or local areas a business does business. Local SEO is more useful for companies trying to gain new business within a smaller target range of 5-15 miles sometimes less sometimes more depending on the products or services one might provide to consumers. Local Search Engine Optimization and Normal Search Engine Optimization differs so hiring someone who specializes in local SEO is very important.

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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