Search Results

Search found 21748 results on 870 pages for 'search engine'.

Page 227/870 | < Previous Page | 223 224 225 226 227 228 229 230 231 232 233 234  | Next Page >

  • Problem with Replace in Eclipse

    - by Imran
    I'm using regex to match all non-quoted property names in my json files. Eclipse has no problem finding the desired matches, but when I want to replace the matched strings with "$2", I get this error: Match string has changed in file filename.json. Match skipped Here's the regex I'm using: `((\w+)\s*(?!['"])(?=:))` Any idea on how to work around this issue?

    Read the article

  • "Did you mean" feature on a dictionary database

    - by Hazar
    I have a ~300.000 row table; which includes technical terms; queried using PHP and MySQL + FULLTEXT indexes. But when I searching a wrong typed term; for example "hyperpext"; naturally giving no results. I need to "compansate" little writing errors and getting nearest record from database. How I can accomplish such feaure? I know (actually, learned today) about Levenshtein distance, Soundex and Metaphone algorithms but currently not having a solid idea to implement this to querying against database. Best regards. (Sorry about my poor English, I'm trying to do my best)

    Read the article

  • Most efficient way to fetch and output Content with 2-Level Comments?

    - by awegawef
    I have some content with up to 2-levels of replies. I am wondering what the most efficient way to fetch and output the replies. I should note that I am planning on storing the comments with fields content_id and reply_to, where reply_to refers to which comment it is in reply to (if any). Any criticism on this design is welcome. In pseudo-code (ish), my first attempt would be: # in outputting content CONTENT_ID all_comments = fetch all comments where content_id == CONTENT_ID root_comments = filter all_comments with reply_to == None children_comments = filter all_comments with reply_to != None output_comments = list() for each root_comment children = filter children_comments, reply_to == root_comment.id output_coments.append( (root_comment, children) ) send output_comments to template Is this the best way to do this? Thanks in advance. Edit: On second thought, I'll want to preserve date-order on the comments, so I'll have to do this a bit differently, or at least just sort the comments afterward.

    Read the article

  • gae error:AttributeError: 'NoneType' object has no attribute 'user_is_member'

    - by zjm1126
    class Thread(db.Model): members = db.StringListProperty() def user_is_member(self, user): return str(user) in self.members and thread = Thread.get(db.Key.from_path('Thread', int(id))) is_member = thread.user_is_member(user) but the error is : Traceback (most recent call last): File "D:\Program Files\Google\google_appengine\google\appengine\ext\webapp\__init__.py", line 511, in __call__ handler.get(*groups) File "D:\Program Files\Google\google_appengine\google\appengine\ext\webapp\util.py", line 62, in check_login handler_method(self, *args) File "D:\zjm_code\forum_blog_gae\main.py", line 222, in get is_member = thread.user_is_member(user) AttributeError: 'NoneType' object has no attribute 'user_is_member' why ? thanks

    Read the article

  • Best method to search hierarchical data

    - by WDuffy
    I'm looking at building a facility which allows querying for data with hierarchical filtering. I have a few ideas how I'm going to go about it but was wondering if there are any recommendations or suggestions that might be more efficient. As an example imagine that a user is searching for a job. The job areas would be as follows. 1: Scotland 2: --- West Central 3: ------ Glasgow 4: ------ Etc 5: --- North East 6: ------ Ayrshire 7: ------ Etc A user can search specific (i.e. Glasgow) or in a larger area (i.e. Scotland). The two approaches I am considering are: keep a note of children in the database for each record (i.e. cat 1 would have 2, 3, 4 in its children field) and query against that record with a SELECT * FROM Jobs WHERE Category IN Areas.childrenField. Use a recursive function to find all results who have a relation to the selected area. The problems I see from both are: Holding this data in the db will mean having to keep track of all changes to structure. Recursion is slow and inefficent. Any ideas, suggestion or recommendations on the best approach? I'm using C# ASP.NET with MSSQL 2005 DB.

    Read the article

  • Is there an efficient way in LINQ to use a contains match if and only if there is no exact match?

    - by Peter
    I have an application where I am taking a large number of 'product names' input by a user and retrieving some information about each product. The problem is, the user may input a partial name or even a wrong name, so I want to return the closest matches for further selection. Essentially if product name A exactly matches a record, return that, otherwise return any contains matches. Otherwise return null. I have done this with three separate statements, and I was wondering if there was a more efficient way to do this. I am using LINQ to EF, but I materialize the products to a list first for performance reasons. productNames is a List of product names (input by the user). products is a List of product 'records' var directMatches = (from s in productNames join p in products on s.ToLower() equals p.name.ToLower() into result from r in result.DefaultIfEmpty() select new {Key = s, Product = r}); var containsMatches = (from d in directMatches from p in products where d.Product == null && p.name.ToLower().Contains(d.Key) select new { d.Key, Product = p }); var matches = from d in directMatches join c in containsMatches on d.Key equals c.Key into result from r in result.DefaultIfEmpty() select new {d.Key, Product = d.Product ?? (r != null ? r.Product: null) };

    Read the article

  • What is the difference between .get() and .fetch(1)

    - by AutomatedTester
    I have written an app and part of it is uses a URL parser to get certain data in a ReST type manner. So if you put /foo/bar as the path it will find all the bar items and if you put /foo it will return all items below foo So my app has a query like data = Paths.all().filter('path =', self.request.path).get() Which works brilliantly. Now I want to send this to the UI using templates {% for datum in data %} <div class="content"> <h2>{{ datum.title }}</h2> {{ datum.content }} </div> {% endfor %} When I do this I get data is not iterable error. So I updated the Django to {% for datum in data.all %} which now appears to pull more data than I was giving it somehow. It shows all data in the datastore which is not ideal. So I removed the .all from the Django and changed the datastore query to data = Paths.all().filter('path =', self.request.path).fetch(1) which now works as I intended. In the documentation it says The db.get() function fetches an entity from the datastore for a Key (or list of Keys). So my question is why can I iterate over a query when it returns with fetch() but can't with get(). Where has my understanding gone wrong?

    Read the article

  • Saving a 'Date' using DataMapper on AppEngine+JRuby

    - by Ryan Montgomery
    I have a a model as follows: class Total include DataMapper::Resource property :id, Serial property :amount, Float, :default => 0.00 property :day, Date belongs_to :calendar end I am trying to select a specific Total from the data-store. class Calendar include DataMapper::Resource property :id, Serial property :name, String has n, :totals def get_total_for(date) return Total.first(:day => date, :calendar => self) end end When I call get_total_for(DateTime.now) I receive the following error on the call to the data-store. java.lang.IllegalArgumentException: day: org.jruby.RubyObject is not a supported property type. Is Date not allowed for usage in AppEngine? Is this a DataMapper issue? I have tried changing the name of the :day property to something else (hoping it was just a name conflict) but it doesn't seem to matter. Thanks for any help you can provide.

    Read the article

  • Fulltext and composite indexes and how they affect the query

    - by Brett
    Just say I had a query as below.. SELECT name,category,address,city,state FROM table WHERE MATCH(name,subcategory,category,tag1) AGAINST('education') AND city='Oakland' AND state='CA' LIMIT 0, 10; ..and I had a fulltext index as name,subcategory,category,tag1 and a composite index as city,state; is this good enough for this query? Just wondering if something extra is needed when mixing additional AND's when making use of the fulltext index with the MATCH/AGAINST. Edit: What I am trying to understand is, what happens with the additional columns that are within the query but are not indexed in the chosen index (the fulltext index), the above example being city and state. How does MySQL now find the matching rows for these since it can't use two indexes (or can it?) - so, basically, I'm trying to understand how MySQL goes about finding the data optimally for the columns NOT in the chosen fulltext index and if there is anything I can or should do to optimize the query.

    Read the article

  • Android : Providing auto autosuggestion in android places Api?

    - by user1787493
    I am very new to android Google maps i write the following program for displaying the auto sugesstion in the android when i am type the text in the Autocomplete text box it is going the input to the url but the out put is not showing in the program .please see once and let me know where i am doing the mistake. package com.example.exampleplaces; import java.util.ArrayList; import org.json.JSONArray; import org.json.JSONObject; import org.json.JSONTokener; import android.app.Activity; import android.os.AsyncTask; import android.os.Bundle; import android.provider.SyncStateContract.Constants; import android.text.Editable; import android.text.TextWatcher; import android.util.Log; import android.view.View; import android.widget.AutoCompleteTextView; import android.widget.ProgressBar; public class Place extends Activity { private AutoCompleteTextView mAtv_DestinationLocaiton; public ArrayList<String> autocompletePlaceList; public boolean DestiClick2; private ProgressBar destinationProgBar; private static final String GOOGLE_PLACE_API_KEY = ""; private static final String GOOGLE_PLACE_AUTOCOMPLETE_URL = "https://maps.googleapis.com/maps/api/place/autocomplete/json?"; //https://maps.googleapis.com/maps/api/place/autocomplete/output?parameters @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.main); autocompletePlaceList = new ArrayList<String>(); destinationProgBar=(ProgressBar)findViewById(R.id.progressBar1); mAtv_DestinationLocaiton = (AutoCompleteTextView) findViewById(R.id.et_govia_destination_location); mAtv_DestinationLocaiton.addTextChangedListener(new TextWatcher() { public void onTextChanged(CharSequence s, int start, int before, int count) { Log.i("Count", "" + count); if (!mAtv_DestinationLocaiton.isPerformingCompletion()) { autocompletePlaceList.clear(); DestiClick2 = false; new loadDestinationDropList().execute(s.toString()); } } public void beforeTextChanged(CharSequence s, int start, int count, int after) { // TODO Auto-generated method stub } public void afterTextChanged(Editable s) { // TODO Auto-generated method stub } }); } private class loadDestinationDropList extends AsyncTask<String, Void, ArrayList<String>> { @Override protected void onPreExecute() { // Showing progress dialog before sending http request destinationProgBar.setVisibility(View.INVISIBLE); } protected ArrayList<String> doInBackground(String... unused) { try { Thread.sleep(3000); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } autocompletePlaceList = getAutocompletePlaces(mAtv_DestinationLocaiton.getText().toString()); return autocompletePlaceList; } public ArrayList<String> getAutocompletePlaces(String placeName) { String response2 = ""; ArrayList<String> autocompletPlaceList = new ArrayList<String>(); String url = GOOGLE_PLACE_AUTOCOMPLETE_URL + "input=" + placeName + "&sensor=false&key=" + GOOGLE_PLACE_API_KEY; Log.e("MyAutocompleteURL", "" + url); try { //response2 = httpCall.connectToGoogleServer(url); JSONObject jsonObj = (JSONObject) new JSONTokener(response2.trim() .toString()).nextValue(); JSONArray results = (JSONArray) jsonObj.getJSONArray("predictions"); for (int i = 0; i < results.length(); i++) { Log.e("RESULTS", "" + results.getJSONObject(i).getString("description")); autocompletPlaceList.add(results.getJSONObject(i).getString( "description")); } } catch (Exception e) { // TODO Auto-generated catch block e.printStackTrace(); } return autocompletPlaceList; } } }

    Read the article

  • Loading datasets from datastore and merge into single dictionary. Resource problem.

    - by fredrik
    Hi, I have a productdatabase that contains products, parts and labels for each part based on langcodes. The problem I'm having and haven't got around is a huge amount of resource used to get the different datasets and merging them into a dict to suit my needs. The products in the database are based on a number of parts that is of a certain type (ie. color, size). And each part has a label for each language. I created 4 different models for this. Products, ProductParts, ProductPartTypes and ProductPartLabels. I've narrowed it down to about 10 lines of code that seams to generate the problem. As of currently I have 3 Products, 3 Types, 3 parts for each type, and 2 languages. And the request takes a wooping 5500ms to generate. for product in productData: productDict = {} typeDict = {} productDict['productName'] = product.name cache_key = 'productparts_%s' % (slugify(product.key())) partData = memcache.get(cache_key) if not partData: for type in typeData: typeDict[type.typeId] = { 'default' : '', 'optional' : [] } ## Start of problem lines ## for defaultPart in product.defaultPartsData: for label in labelsForLangCode: if label.key() in defaultPart.partLabelList: typeDict[defaultPart.type.typeId]['default'] = label.partLangLabel for optionalPart in product.optionalPartsData: for label in labelsForLangCode: if label.key() in optionalPart.partLabelList: typeDict[optionalPart.type.typeId]['optional'].append(label.partLangLabel) ## end problem lines ## memcache.add(cache_key, typeDict, 500) partData = memcache.get(cache_key) productDict['parts'] = partData productList.append(productDict) I guess the problem lies in the number of for loops is too many and have to iterate over the same data over and over again. labelForLangCode get all labels from ProductPartLabels that match the current langCode. All parts for a product is stored in a db.ListProperty(db.key). The same goes for all labels for a part. The reason I need the some what complex dict is that I want to display all data for a product with it's default parts and show a selector for the optional one. The defaultPartsData and optionaPartsData are properties in the Product Model that looks like this: @property def defaultPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.defaultParts) @property def optionalPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.optionalParts) When the completed dict is in the memcache it works smoothly, but isn't the memcache reset if the application goes in to hibernation? Also I would like to show the page for first time user(memcache empty) with out the enormous delay. Also as I said above, this is only a small amount of parts/product. What will the result be when it's 30 products with 100 parts. Is one solution to create a scheduled task to cache it in the memcache every hour? It this efficient? I know this is alot to take in, but I'm stuck. I've been at this for about 12 hours straight. And can't figure out a solution. ..fredrik

    Read the article

  • Can I db.put models without db.getting them first?

    - by Liron
    I tried to do something like ss = Screenshot(key=db.Key.from_path('myapp_screenshot', 123), name='flowers') db.put([ss, ...]) It seems to work on my dev_appserver, but on live I get this traceback: 05-07 09:50PM 19.964 File "/base/data/home/apps/quixeydev3/12.341796548761906563/common/appenginepatch/appenginepatcher/patch.py", line 600, in put E 05-07 09:50PM 19.964 result = old_db_put(models, *args, **kwargs) E 05-07 09:50PM 19.964 File "/base/python_runtime/python_lib/versions/1/google/appengine/ext/db/init.py", line 1278, in put E 05-07 09:50PM 19.964 keys = datastore.Put(entities, rpc=rpc) E 05-07 09:50PM 19.964 File "/base/python_runtime/python_lib/versions/1/google/appengine/api/datastore.py", line 284, in Put E 05-07 09:50PM 19.965 raise _ToDatastoreError(err) E 05-07 09:50PM 19.965 InternalError: the new entity or index you tried to insert already exists I happen to know just the ID of an existing Screenshot entity I want to update; that's why I was manually constructing its key. Am I doing it wrong?

    Read the article

  • how to set Content-Type automatically when i download the data that i uploaded.

    - by zjm1126
    this is my code : import os from google.appengine.ext import webapp from google.appengine.ext.webapp import template from google.appengine.ext.webapp.util import run_wsgi_app from google.appengine.ext import db #from login import htmlPrefix,get_current_user class MyModel(db.Model): blob = db.BlobProperty() class BaseRequestHandler(webapp.RequestHandler): def render_template(self, filename, template_args=None): if not template_args: template_args = {} path = os.path.join(os.path.dirname(__file__), 'templates', filename) self.response.out.write(template.render(path, template_args)) class upload(BaseRequestHandler): def get(self): self.render_template('index.html',) def post(self): file=self.request.get('file') obj = MyModel() obj.blob = db.Blob(file.encode('utf8')) obj.put() self.response.out.write('upload ok') class download(BaseRequestHandler): def get(self): #id=self.request.get('id') o = MyModel.all().get() #self.response.out.write(''.join('%s: %s <br/>' % (a, getattr(o, a)) for a in dir(o))) self.response.out.write(o) application = webapp.WSGIApplication( [ ('/?', upload), ('/download',download), ], debug=True ) def main(): run_wsgi_app(application) if __name__ == "__main__": main() my index.html is : <form action="/" method="post"> <input type="file" name="file" /> <input type="submit" /> </form> and it show : <__main__.MyModel object at 0x02506830> but ,i don't want to see this , i want to download it , how to change my code to run, thanks updated it is ok now : class upload(BaseRequestHandler): def get(self): self.render_template('index.html',) def post(self): file=self.request.get('file') obj = MyModel() obj.blob = db.Blob(file) obj.put() self.response.out.write('upload ok') class download(BaseRequestHandler): def get(self): #id=self.request.get('id') o = MyModel.all().order('-').get() #self.response.out.write(''.join('%s: %s <br/>' % (a, getattr(o, a)) for a in dir(o))) self.response.headers['Content-Type'] = "image/png" self.response.out.write(o.blob) and new question is : if you upload a 'png' file ,it will show successful , but ,when i upload a rar file ,i will run error , so how to set Content-Type automatically , and what is the Content-Type of the 'rar' file thanks

    Read the article

  • How can I call a GWT RPC method on a server from a non GWT (but Java) gapplication?

    - by hansi
    I have a regular Java application and want to access an GWT RPC endpoint. Any idea how to make this happen? My GWT application is on a GAE/J and I could use REST for example but I already have the GWT RPC endpoints and don't want to build another façade. Yes, I have seen http://stackoverflow.com/questions/1330318/invoke-a-gwt-rpc-service-from-java-directly, but this discussion goes into a different direction.

    Read the article

  • generic binary Search in c#

    - by Pro_Zeck
    Below is my Generic Binary Search it works ok with the intgers type array it finds all the elements in it . But the Problem Arises when i use a string array to find any string data. It runs ok for the first index and last index elements but i cant find the middle elements. Stringarray = new string[] { "b", "a", "ab", "abc", "c" }; public static void BinarySearch<T>(T[] array, T searchFor, Comparer<T> comparer) { int high, low, mid; high = array.Length - 1; low = 0; if (array[0].Equals(searchFor)) Console.WriteLine("Value {0} Found At Index {1}",array[0],0); else if (array[high].Equals(searchFor)) Console.WriteLine("Value {0} Found At Index {1}", array[high], high); else { while (low <= high) { mid = (high + low) / 2; if (comparer.Compare(array[mid], searchFor) == 0) { Console.WriteLine("Value {0} Found At Index {1}", array[mid], mid); break; } else { if (comparer.Compare(searchFor, array[mid]) > 0) high = mid + 1; else low = mid + 1; } } if (low > high) { Console.WriteLine("Value Not Found In the Collection"); } } }

    Read the article

  • Any strategies for assessing the trade-off between CPU loss and memory gain from compression of data

    - by indiehacker
    Are very large TextProperties a burden? Should they be compressed? Say I have a information stored in 2 attributes of type TextProperty in my datastore entities. The strings are always the same length of 65,000 characters and have lots of repeating integers, a sample appearing as follows: entity.pixel_idx = 0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,5,5,5,5,5,5,5,5....etc. entity.pixel_color = 2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,...etc. So these above could also be represented using much less storage memory by compressing say using only each integer and the length of its series ( '0,8' for '0,0,0,0,0,0,0,0') but then its takes time and CPU to compress and decompress? Any general ideas? Are there some tricks for testing different attempts to the problem?

    Read the article

  • Recommendations with hierarchical data on non-relational databases?

    - by Luki
    I'm developing an web application that uses a non-relational database as a backend (django-nonrel + AppEngine). I need to store some hierarchical data (projects/subproject_1/subproject_N/tasks), and I'm wondering which pattern should I use. For now I thought of: Adjacency List (store the item's parent id) Nested sets (store left and right values for the item) In my case, the depth of nesting for a normal user will not exceed 4-5 levels. Also, on the UI, I would like to have a pagination for the items on the first level, to avoid to load too many items at the first page load. From what I understand so far, nested sets are great when the hierarchy is used more for displaying. Adjacency lists are great when editing on the tree is done often. In my case I guess I need the displaying more than the editing (when using nested sets, even if the display would work great, the above pagination could complicate things on editing). Do you have any thoughts and advice, based on your experience with the non-relational databases?

    Read the article

  • Which is quicker? Memcache or file query? (using maxmind geoip.dat file)

    - by tomcritchlow
    Hi, I'm using Python on Appengine and am looking up the geolocation of an IP address like this: import pygeoip gi = pygeoip.GeoIP('GeoIP.dat') Location = gi.country_code_by_addr(self.request.remote_addr) (pygeoip can be found here: http://code.google.com/p/pygeoip/) I want to geolocate each page of my app for a user so currently I lookup the IP address once then store it in memcache. My question - which is quicker? Looking up the IP address each time from the .dat file or fetching it from memcache? Are there any other pros/cons I need to be aware of? For general queries like this, is there a good guide to teach me how to optimise my code and run speed tests myself? I'm new to python and coding in general so apologies if this is a basic concept. Thanks! Tom

    Read the article

  • Best Tools for Software Maintenance Engineering

    - by Pev
    Yes, the dreaded 'M' word. You've got a workstation, source control and half a million lines of source code that you didn't write. The documentation was out of date the moment that it was approved and published. The original developers are LTAO, at the next project/startup/loony bin and not answering email. What are you going to do? {favourite editor} and Grep will get you started on your spelunking through the gnarling guts of the code base but what other tools should be in the maintenance engineers toolbox? To start the ball-rolling; I don't think I could live without source-insight for C/C++ spelunking. (DISCLAIMER: I don't work for 'em).

    Read the article

< Previous Page | 223 224 225 226 227 228 229 230 231 232 233 234  | Next Page >