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  • Generic class for performing mass-parallel queries. Feedback?

    - by Aaron
    I don't understand why, but there appears to be no mechanism in the client library for performing many queries in parallel for Windows Azure Table Storage. I've created a template class that can be used to save considerable time, and you're welcome to use it however you wish. I would appreciate however, if you could pick it apart, and provide feedback on how to improve this class. public class AsyncDataQuery<T> where T: new() { public AsyncDataQuery(bool preserve_order) { m_preserve_order = preserve_order; this.Queries = new List<CloudTableQuery<T>>(1000); } public void AddQuery(IQueryable<T> query) { var data_query = (DataServiceQuery<T>)query; var uri = data_query.RequestUri; // required this.Queries.Add(new CloudTableQuery<T>(data_query)); } /// <summary> /// Blocking but still optimized. /// </summary> public List<T> Execute() { this.BeginAsync(); return this.EndAsync(); } public void BeginAsync() { if (m_preserve_order == true) { this.Items = new List<T>(Queries.Count); for (var i = 0; i < Queries.Count; i++) { this.Items.Add(new T()); } } else { this.Items = new List<T>(Queries.Count * 2); } m_wait = new ManualResetEvent(false); for (var i = 0; i < Queries.Count; i++) { var query = Queries[i]; query.BeginExecuteSegmented(callback, i); } } public List<T> EndAsync() { m_wait.WaitOne(); return this.Items; } private List<T> Items { get; set; } private List<CloudTableQuery<T>> Queries { get; set; } private bool m_preserve_order; private ManualResetEvent m_wait; private int m_completed = 0; private void callback(IAsyncResult ar) { int i = (int)ar.AsyncState; CloudTableQuery<T> query = Queries[i]; var response = query.EndExecuteSegmented(ar); if (m_preserve_order == true) { // preserve ordering only supports one result per query this.Items[i] = response.Results.First(); } else { // add any number of items this.Items.AddRange(response.Results); } if (response.HasMoreResults == true) { // more data to pull query.BeginExecuteSegmented(response.ContinuationToken, callback, i); return; } m_completed = Interlocked.Increment(ref m_completed); if (m_completed == Queries.Count) { m_wait.Set(); } } }

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  • SQL Injection Protection for dynamic queries

    - by jbugeja
    The typical controls against SQL injection flaws are to use bind variables (cfqueryparam tag), validation of string data and to turn to stored procedures for the actual SQL layer. This is all fine and I agree, however what if the site is a legacy one and it features a lot of dynamic queries. Then, rewriting all the queries is a herculean task and it requires an extensive period of regression and performance testing. I was thinking of using a dynamic SQL filter and calling it prior to calling cfquery for the actual execution. I found one filter in CFLib.org (http://www.cflib.org/udf/sqlSafe): <cfscript> /** * Cleans string of potential sql injection. * * @param string String to modify. (Required) * @return Returns a string. * @author Bryan Murphy ([email protected]) * @version 1, May 26, 2005 */ function metaguardSQLSafe(string) { var sqlList = "-- ,'"; var replacementList = "#chr(38)##chr(35)##chr(52)##chr(53)##chr(59)##chr(38)##chr(35)##chr(52)##chr(53)##chr(59)# , #chr(38)##chr(35)##chr(51)##chr(57)##chr(59)#"; return trim(replaceList( string , sqlList , replacementList )); } </cfscript> This seems to be quite a simple filter and I would like to know if there are ways to improve it or to come up with a better solution?

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  • How to keep character encoding with database queries.

    - by JasonS
    Hi, I am doing the following. 1) I am exporting a database and saving it to a file called dump.sql. 2) The file is then transferred to a different server via PHP ftp. 3) When the file has been successfully transferred the administrator has an option to run a 'dbtransfer' script on the new host. 4) This script blows up the script and runs the queries line by line. This works great - however there is a problem with foreign language encoding. We are using UTF-8. Step 1 : This works fine, file is in UTF-8 Format. Step 3 : When I test the contents of the dump.sql file using mb_check_encoding(). The string comes back as UTF-8. Step 4 : This creates tables with utf8_general_ci encoding. The information is dumped in. When I check the table after the transfer I get records like this: 'ç,Ç,ö,Ö,ü,Ü,ı,İ,ş,Ş,ğ,Ğ'. I don't understand how a UTF-8 string can lose its encoding when it goes into the database. Am I missing a step? Do I need to run some sort of function to ensure the string is parsed as UTF-8? Once the system is installed I can save foreign language queries. It is just the transfer that is messing up. Any ideas?

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  • GeoDjango: Exceptions for basic geographic queries

    - by omat
    I am having problems with geographic queries with GeoDjango running on SpatiaLite on my development environment. from django.contrib.gis.db import models class Test(models.Model): poly = models.PolygonField() point = models.PointField() geom = models.GeometryField() objects = models.GeoManager() Testing via shell: >>> from geotest.models import Test >>> from django.contrib.gis.geos import GEOSGeometry >>> >>> point = GEOSGeometry("POINT(0 0)") >>> point <Point object at 0x105743490> >>> poly = GEOSGeometry("POLYGON((0 0, 0 1, 1 1, 1 0, 0 0))") >>> poly <Polygon object at 0x105743370> >>> With these definitions, lets try some basic geographic queries. First contains: >>> Test.objects.filter(point__within=poly) Assertion failed: (0), function appendGeometryTaggedText, file WKTWriter.cpp, line 228. Abort trap And the django shell dies. And with within: >>> Test.objects.filter(poly__contains=point) GEOS_ERROR: Geometry must be a Point or LineString Traceback (most recent call last): ... GEOSException: Error encountered checking Coordinate Sequence returned from GEOS C function "GEOSGeom_getCoordSeq_r". >>> Other combinations also cause a variety of exceptions. I must be missing something obvious as these are very basic. Any ideas?

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  • PostgreSQL - Why are some queries on large datasets so incredibly slow

    - by Brad Mathews
    Hello, I have two types of queries I run often on two large datasets. They run much slower than I would expect them to. The first type is a sequential scan updating all records: Update rcra_sites Set street = regexp_replace(street,'/','','i') rcra_sites has 700,000 records. It takes 22 minutes from pgAdmin! I wrote a vb.net function that loops through each record and sends an update query for each record (yes, 700,000 update queries!) and it runs in less than half the time. Hmmm.... The second type is a simple update with a relation and then a sequential scan: Update rcra_sites as sites Set violations='No' From narcra_monitoring as v Where sites.agencyid=v.agencyid and v.found_violation_flag='N' narcra_monitoring has 1,700,000 records. This takes 8 minutes. The query planner refuses to use my indexes. The query runs much faster if I start with a set enable_seqscan = false;. I would prefer if the query planner would do its job. I have appropriate indexes, I have vacuumed and analyzed. I optimized my shared_buffers and effective_cache_size best I know to use more memory since I have 4GB. My hardware is pretty darn good. I am running v8.4 on Windows 7. Is PostgreSQL just this slow? Or am I still missing something? Thanks! Brad

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  • Android: forward search queries to one single activity that handles search

    - by Stefan Klumpp
    I have an activity handling search (ACTIVITY_1), which works perfectly when I use the search (via SEARCH button on the phone) within/from this activity. However, when I use search from another activity (ACTIVITY_2..x) by implementing onNewIntent and forward the query string to my Search_Activity.class (ACTIVITY_1) @Override protected void onNewIntent(Intent intent) { Log.i(TAG, "onNewIntent()"); if (Intent.ACTION_SEARCH.equals(intent.getAction())) { Log.i(TAG, "===== Intent: ACTION_SEARCH ====="); Intent myIntent = new Intent(getBaseContext(), Search_Activity.class); myIntent.setAction(Intent.ACTION_SEARCH); myIntent.putExtra(SearchManager.QUERY, intent.getStringExtra(SearchManager.QUERY)); startActivity(myIntent); } } it always pauses ACTIVITY_2 first and then goes to onCreate() of ACTIVITY_2. Why does it recreate my ACTIVITY_2 when it is already there and doesn't go to onNewIntent directly? Is there another way I can forward search queries directly to ACTIVITY_1? For example via a setting in the Manifest.xml Is it possible to generally forward all search queries automatically to ACTIVITY_1 without even implementing onNewIntent in all the other activities? Currently I have to put an <intent-filter> in every single activity to "activate" my custom search there and forward the query then to the activity that handles search via the onNewIntent (as shown above). <activity android:name=".Another_Activity" android:theme="@style/MyTheme"> <intent-filter> <action android:name="android.intent.action.SEARCH" /> <category android:name="android.intent.category.DEFAULT" /> </intent-filter> <meta-data android:name="android.app.searchable" android:resource="@xml/searchable" /> </activity>

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  • Merging sql queries to get different results by date

    - by pedalpete
    I am trying to build a 'recent events' feed and can't seem to get either my query correct, or figure out how to possible merge the results from two queries to sort them by date. One table holds games/, and another table holds the actions of these games/. I am trying to get the recent events to show users 1) the actions taken on games that are publicly visible (published) 2) when a new game is created and published. So, my actions table has actionId, gameid, userid, actiontype, lastupdate My games table has gameid, startDate, createdby, published, lastupdate I currently have a query like this (simplified for easy understanding I hope). SELECT actionId, actions.gameid, userid, actiontype, actions.lastupdate FROM actions JOIN ( SELECT games.gameid, startDate, createdby, published, games.lastupdate FROM games WHERE published=1 AND lastupdate>today-2 ) publishedGames on actions.gameid=games.gameid WHERE actions.type IN (0,4,5,6,7) AND actions.lastupdate>games.lastupdate and published=1 OR games.lastupdate>today-2 AND published=1 This query is looking for actions from published games where the action took place after the game was published. That pretty much takes care of the first thing that needs to be shown. However, I also need to get the results of the SELECT games.gameid, startDate, createdby, published, games.lastupdate FROM games WHERE published=1 AND startDate>today-2 so I can include in the actions list, when a new game has been published. When I run the query as I've got it written, I get all the actionids, and their gameids, but I don't get a row which shows the gameid when it was published. I understand that it may be possible that I need to run two seperate queries, and then somehow merge the results afterword with php, but I'm completely lost on where to start with that as well.

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  • Multiple queries using same datacontext throws SqlException

    - by Raj
    I've search control with which I'm trying to implement search as user types something. I'm using Linq to SQL to fire queries against the database. Though it works fine usually, when user types the queries really fast some random SqlException is thrown. These are the two different error message I stumbled across recently: A severe error occurred on the current command. The results, if any, should be discarded. Invalid attempt to call Read when reader is closed. Edit: Included code DataContextFactory class: public DataContextFactory(IConnectionStringFactory connectionStringFactory) { this.dataContext = new RegionDataContext(connectionStringFactory.ConnectionString); } public DataContext Context { get { return this.dataContext; } } public void SaveAll() { this.dataContext.SubmitChanges(); } Registering IDataContextFactory with Unity // Get connection string from Application.Current settings ConnectionInfo connectionInfo = Application.Current.Properties["ConnectionInfo"] as ConnectionInfo; // Register ConnectionStringFactory with Unity container as a Singleton this.container.RegisterType<IConnectionStringFactory, ConnectionStringFactory>(new ContainerControlledLifetimeManager(), new InjectionConstructor(connectionInfo.ConnectionString)); // Register DataContextFactory with Unity container this.container.RegisterType<IDataContextFactory, DataContextFactory>(); Connection string: Data Source=.\SQLEXPRESS2008;User Instance=true;Integrated Security=true;AttachDbFilename=C:\client.mdf;MultipleActiveResultSets=true; Using datacontext from a repository class: // IDataContextFactory dependency is injected by Unity public CompanyRepository(IDataContextFactory dataContextFactory) { this.dataContextFactory = dataContextFactory; } // return List<T> of companies var results = this.dataContextFactory.Context.GetTable<CompanyEntity>() .Join(this.dataContextFactory.Context.GetTable<RegionEntity>(), c => c.regioncode, r => r.regioncode, (c, r) => new { c = c, r = r }) .Where(t => t.c.summary_region != null) .Select(t => new { Id = t.c.compcode, Company = t.c.compname, Region = t.r.regionname }).ToList(); What is the work around?

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  • Simplest distributed persistent key/value store that supports primary key range queries

    - by StaxMan
    I am looking for a properly distributed (i.e. not just sharded) and persisted (not bounded by available memory on single node, or cluster of nodes) key/value ("nosql") store that does support range queries by primary key. So far closest such system is Cassandra, which does above. However, it adds support for other features that are not essential for me. So while I like it (and will consider using it of course), I am trying to figure out if there might be other mature projects that implement what I need. Specifically, for me the only aspect of value I need is to access it as a blob. For key, however, I need range queries (as in, access values ordered, limited by start and/or end values). While values can have structures, there is no need to use that structure for anything on server side (can do client-side data binding, flexible value/content types etc). For added bonus, Cassandra style storage (journaled, all sequential writes) seems quite optimal for my use case. To help filter out answers, I have investigated some alternatives within general domain like: Voldemort (key/value, but no ordering) and CouchDB (just sharded, more batch-oriented); and am aware of systems that are not quite distributed while otherwise qualifying (bdb variants, tokyo cabinet itself (not sure if Tyrant might qualify), redis (in-memory store only)).

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  • Multiple inequality conditions (range queries) in NoSQL

    - by pableu
    Hi, I have an application where I'd like to use a NoSQL database, but I still want to do range queries over two different properties, for example select all entries between times T1 and T2 where the noiselevel is smaller than X. On the other hand, I would like to use a NoSQL/Key-Value store because my data is very sparse and diverse, and I do not want to create new tables for every new datatype that I might come across. I know that you cannot use multiple inequality filters for the Google Datastore (source). I also know that this feature is coming (according to this). I know that this is also not possible in CouchDB (source). I think I also more or less understand why this is the case. Now, this makes me wonder.. Is that the case with all NoSQL databases? Can other NoSQL systems make range queries over two different properties? How about, for example, Mongo DB? I've looked in the Documentation, but the only thing I've found was the following snippet in their docu: Note that any of the operators on this page can be combined in the same query document. For example, to find all document where j is not equal to 3 and k is greater than 10, you'd query like so: db.things.find({j: {$ne: 3}, k: {$gt: 10} }); So they use greater-than and not-equal on two different properties. They don't say anything about two inequalities ;-) Any input and enlightenment is welcome :-)

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  • Caching queries in Django

    - by dolma33
    In a django project I only need to cache a few queries, using, because of server limitations, a cache table instead of memcached. One of those queries looks like this: Let's say I have a Parent object, which has a lot of Child objects. I need to store the result of the simple query parent.childs.all(). I have no problem with that, and everything works as expected with some code like key = "%s_children" %(parent.name) value = cache.get(key) if value is None: cache.set(key, parent.children.all(), CACHE_TIMEOUT) value = cache.get(key) But sometimes, just sometimes, the cache.set does nothing, and, after executing cache.set, cache.get(key) keeps returning None. After some test, I've noticed that cache.set is not working when parent.children.all().count() has higher values. That means that if I'm storing inside of key (for example) 600 children objects, it works fine, but it wont work with 1200 children. So my question is: is there a limit to the data that a key could store? How can I override it? Second question: which way is "better", the above code, or the following one? key = "%s_children" %(parent.name) value = cache.get(key) if value is None: value = parent.children.all() cache.set(key, value, CACHE_TIMEOUT) The second version won't cause errors if cache.set doesn't work, so it could be a workaround to my issue, but obviously not a solution. In general, let's forget about my issue, which version would you consider "better"?

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  • Cache the result of a MySQLdb database query in memory

    - by ensnare
    Our application fetches the correct database server from a pool of database servers. So each query is really 2 queries, and they look like this: Fetch the correct DB server Execute the query We do this so we can take DB servers online and offline as necessary, as well as for load-balancing. But the first query seems like it could be cached to memory, so it only actually queries the database every 5 or 10 minutes or so. What's the best way to do this? Thanks.

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  • How to log error queries in mysql?

    - by user271768
    I know that there is general_log that logs all queries, but I want to find out which query has an error, and get the error message. I have tried running an error query on purpose, but it logs as a normal query and doesn't report it with error. Any ideas?

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  • Setting SQL Relationships For LINQ Queries

    - by Soo
    I have two tables that I'm trying to create a relationship between so I can write nice LINQ queries that don't require join. Widgets WidgetId WidgetDescription Orders OrderId WidgetId OrderDate What I want to be able to do is create a LINQ query that does something similar to: var result = from x in db.Widgets Where x.Orders.OrderDate == "5/11/2010" select x; I can't seem to get intellitext to pick up the other database despite creating a relationship in SQL server. Are there any additional steps I need to take to make this work?

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  • How to test my Firebird SQL queries

    - by Bob
    I'm in the process of learning SQL, and I need a way of verifying that my SQL queries are valid (i.e. no syntax errors). I also would like to check what results they yield on a test database of my choosing and structure. I'm using embedded firebird in my C# .NET application, so I don't really have any tools to work with. Anyone have any tips? Perhaps there are SQL administrators/query IDEs out there that work with Firebird?

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  • How to cache queries in EJB and return result efficient (performance POV)

    - by Maxym
    I use JBoss EJB 3.0 implementation (JBoss 4.2.3 server) At the beginning I created native query all the time using construction like Query query = entityManager.createNativeQuery("select * from _table_"); Of couse it is not that efficient, I performed some tests and found out that it really takes a lot of time... Then I found a better way to deal with it, to use annotation to define native queries: @NamedNativeQuery( name = "fetchData", value = "select * from _table_", resultClass=Entity.class ) and then just use it Query query = entityManager.createNamedQuery("fetchData"); the performance of code line above is two times better than where I started from, but still not that good as I expected... then I found that I can switch to Hibernate annotation for NamedNativeQuery (anyway, JBoss's implementation of EJB is based on Hibernate), and add one more thing: @NamedNativeQuery( name = "fetchData2", value = "select * from _table_", resultClass=Entity.class, readOnly=true) readOnly - marks whether the results are fetched in read-only mode or not. It sounds good, because at least in this case of mine I don't need to update data, I wanna just fetch it for report. When I started server to measure performance I noticed that query without readOnly=true (by default it is false) returns result with each iteration better and better, and at the same time another one (fetchData2) works like "stable" and with time difference between them is shorter and shorter, and after 5 iterations speed of both was almost the same... The questions are: 1) is there any other way to speed query using up? Seems that named queries should be prepared once, but I can't say it... In fact if to create query once and then just use it it would be better from performance point of view, but it is problematic to cache this object, because after creating query I can set parameters (when I use ":variable" in query), and it changes query object (isn't it?). well, is here any way to cache them? Or named query is the best option I can use? 2) any other approaches how to make results retrieveng faster. I mean, for instance I don't need those Entities to be attached, I won't update them, all I need is just fetch collection of data. Maybe readOnly is the only available way, so I can't speed it up, but who knows :) P.S. I don't ask about DB performance, all I need now is how not to create query all the time, so use it efficient, and to "allow" EJB to do less job with the same result concerning data returning.

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