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  • Preloading Winforms using a Stack and Hidden Form

    - by msarchet
    I am currently working on a project where we have a couple very control heavy user controls that are being used inside a MDI Controller. This is a Line of Business app and it is very data driven. The problem that we were facing was the aforementioned controls would load very very slowly, we dipped our toes into the waters of multi-threading for the control loading but that was not a solution for a plethora of reasons. Our solution to increasing the performance of the controls ended up being to 'pre-load' the forms onto a hidden window, create a stack of the existing forms, and pop off of the stack as the user requested a form. Now the current issue that I'm seeing that will arise as we push this 'fix' out to our testers, and the ultimately our users is this: Currently the 'hidden' window that contains the preloaded forms is visible in task manager, and can be shut down thus causing all of the controls to be lost. Then you have to create them on the fly losing the performance increase. Secondly, when the user uses up the stack we lose the performance increase (current solution to this is discussed below). For the first problem, is there a way to hide this window from task manager, perhaps by creating a parent form that encapsulates both the main form for the program and the hidden form? Our current solution to the second problem is to have an inactivity timer that when it fires checks the stacks for the forms, and loads a new form onto the stack if it isn't full. However this still has the potential of causing a hang in the UI while it creates the forms. A possible solutions for this would be to put 'used' forms back onto the stack, but I feel like there may be a better way. EDIT: For control design clarification From the comments I have realized there is a lack of clarity on what exactly the control is doing. Here is a detailed explanation of one of the controls. I have defined for this control loading time as the time it takes from when a user performs an action that would open a control, until the time a control is accessible to be edited. The control is for entering Prescriptions for a patient in the system, it has about 5 tabbed groups with a total of about 180 controls. The user selects to open a new Prescription control from inside the main program, this control is loaded into the MDI Child area of the Main Form (which is a DevExpress Ribbon Control). From the time the user clicks New (or loads an existing record) until the control is visible. The list of actions that happens in the program is this: The stack is checked for the existence of a control. If the control exists it is popped off of the stack. The control is rendered on screen. This is what takes 2 seconds The control then is populated with a blank object, or with existing data. The control is ready to use. The average percentage of loading time, across about 10 different machines, with different hardware the control rendering takes about 85 - 95 percent of the control loading time. Without using the stack the control takes about 2 seconds to load, with the stack it takes about .8 seconds, this second time is acceptable. I have looked at Henry's link and I had previously already implemented the applicable suggestions. Again I re-iterate my question as What is the best method to move controls to and from the stack with as little UI interruption as possible?

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  • Android: NullPointerException error in getting data in database

    - by Gil Viernes Marcelo
    This what happens in the system. 1. Admin login this is in other activity but i will not post it coz it has nothing to do with this (no problem) 2. Register user in system (using database no problem) 3. Click add user button (where existing user who register must display its name in ListView) Problem: When I click adduser to see if the system registered the user, it force close. CurrentUser.java package com.example.istronggyminstructor; import java.util.ArrayList; import android.os.Bundle; import android.app.Activity; import android.content.Context; import android.content.Intent; import android.database.Cursor; import android.view.Gravity; import android.view.LayoutInflater; import android.view.Menu; import android.view.View; import android.view.View.OnClickListener; import android.view.ViewGroup; import android.view.ViewGroup.LayoutParams; import android.view.WindowManager; import android.widget.ArrayAdapter; import android.widget.Button; import android.widget.EditText; import android.widget.FrameLayout; import android.widget.ListView; import android.widget.PopupWindow; import android.widget.TextView; import android.widget.Toast; import java.util.ArrayList; import java.util.List; import java.util.Random; import com.example.istronggyminstructor.registeredUserList.Users; import android.content.ContentValues; import android.database.Cursor; import android.database.SQLException; import android.database.sqlite.SQLiteDatabase; public class CurrentUsers extends Activity { private Button register; private Button adduser; EditText getusertext, getpass, getweight, textdisp; View popupview, popupview2; public static ArrayList<String> ArrayofName = new ArrayList<String>(); protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_current_users); register = (Button) findViewById(R.id.regbut); adduser = (Button) findViewById(R.id.addbut); register.setOnClickListener(new OnClickListener() { @Override public void onClick(View arg0) { LayoutInflater inflator = (LayoutInflater) getBaseContext() .getSystemService(LAYOUT_INFLATER_SERVICE); popupview = inflator.inflate(R.layout.popup, null); final PopupWindow popupWindow = new PopupWindow(popupview, LayoutParams.WRAP_CONTENT, LayoutParams.WRAP_CONTENT); popupWindow.showAtLocation(popupview, Gravity.CENTER, 0, 0); popupWindow.setFocusable(true); popupWindow.update(); Button dismissbtn = (Button) popupview.findViewById(R.id.close); dismissbtn.setOnClickListener(new OnClickListener() { @Override public void onClick(View arg0) { popupWindow.dismiss(); } }); popupWindow.showAsDropDown(register, 50, -30); } }); //Thread.setDefaultUncaughtExceptionHandler(new forceclose(this)); } public void registerUser(View v) { EditText username = (EditText) popupview.findViewById(R.id.usertext); EditText password = (EditText) popupview .findViewById(R.id.passwordtext); EditText weight = (EditText) popupview.findViewById(R.id.weight); String getUsername = username.getText().toString(); String getPassword = password.getText().toString(); String getWeight = weight.getText().toString(); dataHandler dbHandler = new dataHandler(this, null, null, 1); Users user = new Users(getUsername, getPassword, Integer.parseInt(getWeight)); dbHandler.addUsers(user); Toast.makeText(getApplicationContext(), "Registering...", Toast.LENGTH_SHORT).show(); } public void onClick_addUser(View v) { LayoutInflater inflator = (LayoutInflater) getBaseContext() .getSystemService(LAYOUT_INFLATER_SERVICE); popupview2 = inflator.inflate(R.layout.popup2, null); final PopupWindow popupWindow = new PopupWindow(popupview2, LayoutParams.WRAP_CONTENT, LayoutParams.WRAP_CONTENT); popupWindow.showAtLocation(popupview2, Gravity.CENTER, 0, -10); popupWindow.setFocusable(true); popupWindow.update(); Button dismissbtn = (Button) popupview2.findViewById(R.id.close2); dismissbtn.setOnClickListener(new OnClickListener() { @Override public void onClick(View arg0) { popupWindow.dismiss(); } }); popupWindow.showAsDropDown(register, 50, -30); dataHandler dbHandler = new dataHandler(this, null, null, 1); dbHandler.getAllUsers(); ListView list = (ListView)findViewById(R.layout.popup2); ArrayAdapter<String> adapter = new ArrayAdapter<String>(this, android.R.layout.simple_list_item_1, ArrayofName); list.setAdapter(adapter); } @Override public boolean onCreateOptionsMenu(Menu menu) { getMenuInflater().inflate(R.menu.current_users, menu); return true; } } registeredUserList.java package com.example.istronggyminstructor; public class registeredUserList { public static class Users { private static int _id; private static String _users; private static String _password; private static int _weight; private static String[] _workoutlists; private static int _score; public Users() { } public Users(String username, String password, int weight) { _users = username; _password = password; _weight = weight; } public int getId() { return _id; } public static void setId(int id) { _id = id; } public String getUsers() { return _users; } public static void setUsers(String users) { _users = users; } public String getPassword(){ return _password; } public void setPassword(String password){ _password = password; } public int getWeight(){ return _weight; } public static void setWeight(int weight){ _weight = weight; } public String[] getWorkoutLists(){ return _workoutlists; } public void setWorkoutLists(String[] workoutlists){ _workoutlists = workoutlists; } public int score(){ return _score; } public void score(int score){ _score = score; } } } dataHandler.java package com.example.istronggyminstructor; import java.util.ArrayList; import java.util.List; import com.example.istronggyminstructor.registeredUserList.Users; import android.content.ContentValues; import android.content.Context; import android.database.Cursor; import android.database.sqlite.SQLiteDatabase; import android.database.sqlite.SQLiteDatabase.CursorFactory; import android.database.sqlite.SQLiteOpenHelper; public class dataHandler extends SQLiteOpenHelper { private static final int DATABASE_VERSION = 1; private static final String DATABASE_NAME = "userInfo.db"; public static final String TABLE_USERINFO = "user"; public static final String COLUMN_ID = "_id"; public static final String COLUMN_USERNAME = "username"; public static final String COLUMN_PASSWORD = "password"; public static final String COLUMN_WEIGHT = "weight"; public dataHandler(Context context, String name, CursorFactory factory, int version) { super(context, DATABASE_NAME, factory, DATABASE_VERSION); } @Override public void onCreate(SQLiteDatabase db) { String CREATE_USER_TABLE = "CREATE TABLE " + TABLE_USERINFO + " (" + COLUMN_ID + " INTEGER PRIMARY KEY, " + COLUMN_USERNAME + " TEXT," + COLUMN_PASSWORD + " TEXT, " + COLUMN_WEIGHT + " INTEGER " + ");"; db.execSQL(CREATE_USER_TABLE); } @Override public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) { db.execSQL("DROP TABLE IF EXISTS " + TABLE_USERINFO); onCreate(db); } public void addUsers(Users user) { ContentValues values = new ContentValues(); values.put(COLUMN_USERNAME, user.getUsers()); values.put(COLUMN_PASSWORD, user.getPassword()); values.put(COLUMN_WEIGHT, user.getWeight()); SQLiteDatabase db = this.getWritableDatabase(); db.insert(TABLE_USERINFO, null, values); db.close(); } public Users findUsers(String username) { String query = "Select * FROM " + TABLE_USERINFO + " WHERE " + COLUMN_USERNAME + " = \"" + username + "\""; SQLiteDatabase db = this.getWritableDatabase(); Cursor cursor = db.rawQuery(query, null); Users user = new Users(); if (cursor.moveToFirst()) { cursor.moveToFirst(); Users.setUsers(cursor.getString(1)); //Users.setWeight(Integer.parseInt(cursor.getString(3))); not yet needed cursor.close(); } else { user = null; } db.close(); return user; } public List<Users> getAllUsers(){ List<Users> user = new ArrayList(); String selectQuery = "SELECT * FROM " + TABLE_USERINFO; SQLiteDatabase db = this.getWritableDatabase(); Cursor cursor = db.rawQuery(selectQuery, null); if (cursor.moveToFirst()) { do { Users users = new Users(); users.setUsers(cursor.getString(1)); String name = cursor.getString(1); CurrentUsers.ArrayofName.add(name); // Adding contact to list user.add(users); } while (cursor.moveToNext()); } // return user list return user; } public boolean deleteUsers(String username) { boolean result = false; String query = "Select * FROM " + TABLE_USERINFO + " WHERE " + COLUMN_USERNAME + " = \"" + username + "\""; SQLiteDatabase db = this.getWritableDatabase(); Cursor cursor = db.rawQuery(query, null); Users user = new Users(); if (cursor.moveToFirst()) { Users.setId(Integer.parseInt(cursor.getString(0))); db.delete(TABLE_USERINFO, COLUMN_ID + " = ?", new String[] { String.valueOf(user.getId()) }); cursor.close(); result = true; } db.close(); return result; } } Logcat 08-20 03:23:23.293: E/AndroidRuntime(16363): FATAL EXCEPTION: main 08-20 03:23:23.293: E/AndroidRuntime(16363): java.lang.IllegalStateException: Could not execute method of the activity 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View$1.onClick(View.java:3599) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View.performClick(View.java:4204) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View$PerformClick.run(View.java:17355) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.os.Handler.handleCallback(Handler.java:725) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.os.Handler.dispatchMessage(Handler.java:92) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.os.Looper.loop(Looper.java:137) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.app.ActivityThread.main(ActivityThread.java:5041) 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invokeNative(Native Method) 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invoke(Method.java:511) 08-20 03:23:23.293: E/AndroidRuntime(16363): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:793) 08-20 03:23:23.293: E/AndroidRuntime(16363): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:560) 08-20 03:23:23.293: E/AndroidRuntime(16363): at dalvik.system.NativeStart.main(Native Method) 08-20 03:23:23.293: E/AndroidRuntime(16363): Caused by: java.lang.reflect.InvocationTargetException 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invokeNative(Native Method) 08-20 03:23:23.293: E/AndroidRuntime(16363): at java.lang.reflect.Method.invoke(Method.java:511) 08-20 03:23:23.293: E/AndroidRuntime(16363): at android.view.View$1.onClick(View.java:3594) 08-20 03:23:23.293: E/AndroidRuntime(16363): ... 11 more 08-20 03:23:23.293: E/AndroidRuntime(16363): Caused by: java.lang.NullPointerException 08-20 03:23:23.293: E/AndroidRuntime(16363): at com.example.istronggyminstructor.CurrentUsers.onClick_addUser(CurrentUsers.java:118) 08-20 03:23:23.293: E/AndroidRuntime(16363): ... 14 more

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  • Delivery of JMS message before the transaction is committed

    - by ewernli
    Hi, I have a very simple scenario involving a database and a JMS in an application server (Glassfish). The scenario is dead simple: 1. an EJB inserts a row in the database and sends a message. 2. when the message is delivered with an MDB, the row is read and updated. The problem is that sometimes the message is delivered before the insert has been committed in the database. This is actually understandable if we consider the 2 phase commit protocol: 1. prepare JMS 2. prepare database 3. commit JMS 4. ( tiny little gap where message can be delivered before insert has been committed) 5. commit database I've discussed this problem with others, but the answer was always: "Strange, it should work out of the box". My questions are then: How could it work out-of-the box? My scenario sounds fairly simple, why isn't there more people with similar troubles? Am I doing something wrong? Is there a way to solve this issue correctly? Here are a bit more details about my understanding of the problem: This timing issue exist only if the participant are treated in this order. If the 2PC treats the participants in the reverse order (database first then message broker) that should be fine. The problem was randomly happening but completely reproducible. I found no way to control the order of the participants in the distributed transactions in the JTA, JCA and JPA specifications neither in the Glassfish documentation. We could assume they will be enlisted in the distributed transaction according to the order when they are used, but with an ORM such as JPA, it's difficult to know when the data are flushed and when the database connection is really used. Any idea?

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  • JPA - Performance with using multiple entity manager

    - by Nguyen Tuan Linh
    My situation is: The code is not mine I have two kinds of database: one is Dad, one is Son. In Dad, I have a table to store JNDI name. I will look up Dad using JNDI, create entity manager, and retrieve this table. From these retrieved JNDI names, I will create multiple entity managers using multiple Son databases. The problem is: Son have thousands of entities. It takes each Son database around 10 minutes to load all entities. If there is 4 Son databases, it will be 40 minutes. My question: Is there any way to load all entities and use them for all entity manager? Please look at the code below For each Son JNDI: Map<String, String> puSonProperties = new HashMap<String, String>(); puSonProperties.put("javax.persistence.jtaDataSource", sonJndi); EntityManagerFactory emf = Persistence.createEntityManagerFactory("PUSon", puSonProperties); PUSon - All of them use the same persistence unit log.info("Verify entity manager for son: {0} - {1}", sonCode, emSon.find(Son_configuration.class, 0) != null ? "ok" : "failed!"); This is the actual code where the loading of all entities begins. 10 mins.

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  • Splitting MS Access Database - Front End Part Location

    - by kristof
    One of the best practices as specified by Microsoft for Access Development is splitting Access application into 2 parts; Front End that hold all the object except tables and the Back End that holds the tables. The msdn page links there to the article Splitting Microsoft Access Databases to Improve Performance and Simplify Maintainability that describes the process in details. It is recommended that in multi user environment the Back End is stored on the server/shared folder while the Front End is distributed to each user. That implies that each time there are any changes made to the front end they need to be deployed to every user machine. My question is: Assuming that the users themselves do not have rights to modify the Front End part of the application what would be the drawbacks/dangers of leaving this on the server as well next to the Back End copy? I can see the performance issues here, but are there any dangers here like possible corruptions etc? Thank you EDIT Just to clarify, the scenario specified in question assumes one Front End stored on the server and shared by users. I understand that the recommendation is to have FE deployed to each user machine, but my question is more about what are the dangers if that is not done. E.g. when you are given an existing solution that uses the approach of both FE and BE on the server. Assuming the the performance is acceptable and the customer is reluctant to change the approach would you still push the change? And why exactly? For example the danger of possible data corruption would definitely be the strong enough argument, but is that the case? It is a part of follow up of my previous question From SQL Server to MS Access 2007

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  • SQL Server insert performance

    - by Jose
    I have an insert query that gets generated like this INSERT INTO InvoiceDetail (LegacyId,InvoiceId,DetailTypeId,Fee,FeeTax,Investigatorid,SalespersonId,CreateDate,CreatedById,IsChargeBack,Expense,RepoAgentId,PayeeName,ExpensePaymentId,AdjustDetailId) VALUES(1,1,2,1500.0000,0.0000,163,1002,'11/30/2001 12:00:00 AM',1116,0,550.0000,850,NULL,@ExpensePay1,NULL); DECLARE @InvDetail1 INT; SET @InvDetail1 = (SELECT @@IDENTITY); This query is generated for only 110K rows. It takes 30 minutes for all of these query's to execute I checked the query plan and the largest % nodes are A Clustered Index Insert at 57% query cost which has a long xml that I don't want to post. A Table Spool which is 38% query cost <RelOp AvgRowSize="35" EstimateCPU="5.01038E-05" EstimateIO="0" EstimateRebinds="0" EstimateRewinds="0" EstimateRows="1" LogicalOp="Eager Spool" NodeId="80" Parallel="false" PhysicalOp="Table Spool" EstimatedTotalSubtreeCost="0.0466109"> <OutputList> <ColumnReference Database="[SkipPro]" Schema="[dbo]" Table="[InvoiceDetail]" Column="InvoiceId" /> <ColumnReference Database="[SkipPro]" Schema="[dbo]" Table="[InvoiceDetail]" Column="InvestigatorId" /> <ColumnReference Column="Expr1054" /> <ColumnReference Column="Expr1055" /> </OutputList> <Spool PrimaryNodeId="3" /> </RelOp> So my question is what is there that I can do to improve the speed of this thing? I already run ALTER TABLE TABLENAME NOCHECK CONSTRAINTS ALL Before the queries and then ALTER TABLE TABLENAME NOCHECK CONSTRAINTS ALL after the queries. And that didn't shave off hardly anything off of the time. Know I am running these queries in a .NET application that uses a SqlCommand object to send the query. I then tried to output the sql commands to a file and then execute it using sqlcmd, but I wasn't getting any updates on how it was doing, so I gave up on that. Any ideas or hints or help?

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  • Random Complete System Unresponsiveness Running Mathematical Functions

    - by Computer Guru
    I have a program that loads a file (anywhere from 10MB to 5GB) a chunk at a time (ReadFile), and for each chunk performs a set of mathematical operations (basically calculates the hash). After calculating the hash, it stores info about the chunk in an STL map (basically <chunkID, hash>) and then writes the chunk itself to another file (WriteFile). That's all it does. This program will cause certain PCs to choke and die. The mouse begins to stutter, the task manager takes 2 min to show, ctrl+alt+del is unresponsive, running programs are slow.... the works. I've done literally everything I can think of to optimize the program, and have triple-checked all objects. What I've done: Tried different (less intensive) hashing algorithms. Switched all allocations to nedmalloc instead of the default new operator Switched from stl::map to unordered_set, found the performance to still be abysmal, so I switched again to Google's dense_hash_map. Converted all objects to store pointers to objects instead of the objects themselves. Caching all Read and Write operations. Instead of reading a 16k chunk of the file and performing the math on it, I read 4MB into a buffer and read 16k chunks from there instead. Same for all write operations - they are coalesced into 4MB blocks before being written to disk. Run extensive profiling with Visual Studio 2010, AMD Code Analyst, and perfmon. Set the thread priority to THREAD_MODE_BACKGROUND_BEGIN Set the thread priority to THREAD_PRIORITY_IDLE Added a Sleep(100) call after every loop. Even after all this, the application still results in a system-wide hang on certain machines under certain circumstances. Perfmon and Process Explorer show minimal CPU usage (with the sleep), no constant reads/writes from disk, few hard pagefaults (and only ~30k pagefaults in the lifetime of the application on a 5GB input file), little virtual memory (never more than 150MB), no leaked handles, no memory leaks. The machines I've tested it on run Windows XP - Windows 7, x86 and x64 versions included. None have less than 2GB RAM, though the problem is always exacerbated under lower memory conditions. I'm at a loss as to what to do next. I don't know what's causing it - I'm torn between CPU or Memory as the culprit. CPU because without the sleep and under different thread priorities the system performances changes noticeably. Memory because there's a huge difference in how often the issue occurs when using unordered_set vs Google's dense_hash_map. What's really weird? Obviously, the NT kernel design is supposed to prevent this sort of behavior from ever occurring (a user-mode application driving the system to this sort of extreme poor performance!?)..... but when I compile the code and run it on OS X or Linux (it's fairly standard C++ throughout) it performs excellently even on poor machines with little RAM and weaker CPUs. What am I supposed to do next? How do I know what the hell it is that Windows is doing behind the scenes that's killing system performance, when all the indicators are that the application itself isn't doing anything extreme? Any advice would be most welcome.

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  • Mysql Database Question about Large Columns

    - by murat
    Hi, I have a table that has 100.000 rows, and soon it will be doubled. The size of the database is currently 5 gb and most of them goes to one particular column, which is a text column for PDF files. We expect to have 20-30 GB or maybe 50 gb database after couple of month and this system will be used frequently. I have couple of questions regarding with this setup 1-) We are using innodb on every table, including users table etc. Is it better to use myisam on this table, where we store text version of the PDF files? (from memory usage /performance perspective) 2-) We use Sphinx for searching, however the data must be retrieved for highlighting. Highlighting is done via sphinx API but still we need to retrieve 10 rows in order to send it to Sphinx again. This 10 rows may allocate 50 mb memory, which is quite large. So I am planning to split these PDF files into chunks of 5 pages in the database, so these 100.000 rows will be around 3-4 million rows and couple of month later, instead of having 300.000-350.000 rows, we'll have 10 million rows to store text version of these PDF files. However, we will retrieve less pages, so again instead of retrieving 400 pages to send Sphinx for highlighting, we can retrieve 5 pages and it will have a big impact on the performance. Currently, when we search a term and retrieve PDF files that have more than 100 pages, the execution time is 0.3-0.35 seconds, however if we retrieve PDF files that have less than 5 pages, the execution time reduces to 0.06 seconds, and it also uses less memory. Do you think, this is a good trade-off? We will have million of rows instead of having 100k-200k rows but it will save memory and improve the performance. Is it a good approach to solve this problem and do you have any ideas how to overcome this problem? The text version of the data is used only for indexing and highlighting. So, we are very flexible. Thanks,

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  • Transitioning from Domain Authentication to SQL Server Authentication

    - by Albert Perrien
    Greetings all, I've run into a problem that has me stumped. I've put together a database in SQL Server Express, and I'm having a strange permissions problem. The database is on my development machine with a domain user: DOMAIN\albertp. My development database server is set for "SQL Server and Windows Authentication" mode. I can edit and query my database without any problems when I log in using Windows Authentication. However, when I log in to any user that uses SQL Server authentication (Including sa) I get this message when I run queries against my database. SELECT * FROM [Testing].[dbo].[AuditingReport] I get: Msg 18456, Level 14, State 1, Line 1 Login failed for user 'auditor'. I'm logged into the server from SQL Server Management Studio as 'auditor' and I don't see anything in the error log about the login failure. I've already run: Use Testing; Grant All to auditor; Go And I still get the same error. What permissions do I have to set for the database to be usable by others outside of my personal domain login? Or am I looking at the wrong problem? My ultimate goal is to have the database be accessible from a set of PHP pages, using a either a common login (hence 'auditor') or a login specific to a set of individual users.

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  • Why don't I just build the whole web app in Javascript and Javascript HTML Templates?

    - by viatropos
    I'm getting to the point on an app where I need to start caching things, and it got me thinking... In some parts of the app, I render table rows (jqGrid, slickgrid, etc.) or fancy div rows (like in the New Twitter) by grabbing pure JSON and running it through something like Mustache, jquery.tmpl, etc. In other parts of the app, I just render the info in pure HTML (server-side HAML templates), and if there's searching/paginating, I just go to a new URL and load a new HTML page. Now the problem is in caching and maintainability. On one hand I'm thinking, if everything was built using Javascript HTML Templates, then my app would serve just an HTML layout/shell, and a bunch of JSON. If you look at the Facebook and Twitter HTML source, that's basically what they're doing (95% json/javascript, 5% html). This would make it so my app only needed to cache JSON (pages, actions, and/or records). Which means you'd hit the cache no matter if you were some remote api developer accessing a JSON api, or the strait web app. That is, I don't need 2 caches, one for the JSON, one for the HTML. That seems like it'd cut my cache store down in half, and streamline things a little bit. On the other hand, I'm thinking, from what I've seen/experienced, generating static HTML server-side, and caching that, seems to be much better performance wise cross-browser; you get the graphics instantly and don't have to wait that split-second for javascript to render it. StackOverflow seems to do everything in plain HTML, and you can tell... everything appears at once. Notice how though on twitter.com, the page is blank for .5-1 seconds, and the page chunks in: the javascript has to render the json. The downside with this is that, for anything dynamic (like endless scrolling, or grids), I'd have to create javascript templates anyway... so now I have server-side HAML templates, client-side javascript templates, and a lot more to cache. My question is, is there any consensus on how to approach this? What are the benefits and drawbacks from your experience of mixing the two versus going 100% with one over the other? Update: Some reasons that factor into why I haven't yet made the decision to go with 100% javascript templating are: Performance. Haven't formally tested, but from what I've seen, raw html renders faster and more fluidly than javascript-generated html cross-browser. Plus, I'm not sure how mobile devices handle dynamic html performance-wise. Testing. I have a lot of integration tests that work well with static HTML, so switching to javascript-only would require 1) more focused pure-javascript testing (jasmine), and 2) integrating javascript into capybara integration tests. This is just a matter of time and work, but it's probably significant. Maintenance. Getting rid of HAML. I love HAML, it's so easy to write, it prints pretty HTML... It makes code clean, it makes maintenance easy. Going with javascript, there's nothing as concise. SEO. I know google handles the ajax /#!/path, but haven't grasped how this will affect other search engines and how older browsers handle it. Seems like it'd require a significant setup.

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  • Performance improvement of client server system

    - by Tanuj
    I have a legacy client server system where the server maintains a record of some data stored in a sqlite database. The data is related to monitoring access patterns of files stored on the server. The client application is basically a remote viewer of the data. When the client is launched, it connects to the server and gets the data from the server to display in a grid view. The data gets updated in real time on the server and the view in the client automatically gets refreshed. There are two problems with the current implementation: When the database gets too big, it takes a lot of time to load the client. What are the best ways to deal with this. One option is to maintain a cache at the client side. How to best implement a cache ? How can the server maintain a diff so that it only sends the diff during the refresh cycle. There can be multiple clients and each client needs to display the latest data available on the server. The server is a windows service daemon. Both the client and the server are implemented in C#

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  • Can't view database on SQL Server 2008 with domain user

    - by abatishchev
    I created a login for a domain user (domain admin) and added it to role serveradmin, but after logging in I still can't list databases getting next error: The database MyDB is not accessible. (ObjectExplorer) Program Location: at Microsoft.SqlServer.Management.UI.VSIntegration.ObjectExplorer.DatabaseNavigableItem.get_CanGetChildren() at Microsoft.SqlServer.Management.UI.VSIntegration.ObjectExplorer.NavigableItem.GetChildren(IGetChildrenRequest request) at Microsoft.SqlServer.Management.UI.VSIntegration.ObjectExplorer.ExplorerHierarchyNode.BuildChildren(WaitHandle quitEvent) How can I fix that?

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  • Improve WPF Rendering Performance (WrapPanel in ItemsControl)

    - by Wonko the Sane
    Hello All, I have an ItemsSource that appears to have poor performance when adding even a fairly small ObservableCollection to it. The ItemsPanel is a WrapPanel, and the ItemTemplate is essentially a Border containing another Border painted with an ImageBrush. The ItemsControl is wrapped inside a ScrollViewer. After some investigation using WpfPerf, it would appear that most of the "what the heck is it doing?" time is spent on WrapPanel.Measure after creating the collection that is being bound. As I've mentioned, it's a fairly small collection - generally less than 100 items. If nothing else, I'd like to be able to put a "Please Wait" on the screen (during the collection creation portion as well), but I am not sure how to know when the rendering is complete. Any thoughts would be greatly appreciated! Thanks, wTs

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  • Migrate from MySQL to PostgreSQL on Linux (Kubuntu)

    - by Dave Jarvis
    Storyline Trying to migrate a database from MySQL to PostgreSQL. All the documentation I have read covers, in great detail, how to migrate the structure. I have found very little documentation on migrating the data. The schema has 13 tables (which have been migrated successfully) and 9 GB of data. MySQL version: 5.1.x PostgreSQL version: 8.4.x I want to use the R programming language to analyze the data using SQL select statements; PostgreSQL has PL/R, but MySQL has nothing (as far as I can tell). A long time ago in a galaxy far, far away... Create the database location (/var has insufficient space; also dislike having the PostgreSQL version number everywhere -- upgrading would break scripts!): sudo mkdir -p /home/postgres/main sudo cp -Rp /var/lib/postgresql/8.4/main /home/postgres sudo chown -R postgres.postgres /home/postgres sudo chmod -R 700 /home/postgres sudo usermod -d /home/postgres/ postgres All good to here. Next, restart the server and configure the database using these installation instructions: sudo apt-get install postgresql pgadmin3 sudo /etc/init.d/postgresql-8.4 stop sudo vi /etc/postgresql/8.4/main/postgresql.conf Change data_directory to /home/postgres/main sudo /etc/init.d/postgresql-8.4 start sudo -u postgres psql postgres \password postgres sudo -u postgres createdb climate pgadmin3 Use pgadmin3 to configure the database and create a schema. A New Hope The episode began in a remote shell known as bash, with both databases running, and the installation of a command with a most unusual logo: SQL Fairy. perl Makefile.PL sudo make install sudo apt-get install perl-doc (strangely, it is not called perldoc) perldoc SQL::Translator::Manual Extract a PostgreSQL-friendly DDL and all the MySQL data: sqlt -f DBI --dsn dbi:mysql:climate --db-user user --db-password password -t PostgreSQL > climate-pg-ddl.sql mysqldump --skip-add-locks --complete-insert --no-create-db --no-create-info --quick --result-file="climate-my.sql" --databases climate --skip-comments -u root -p The Database Strikes Back Recreate the structure in PostgreSQL as follows: pgadmin3 (switch to it) Click the Execute arbitrary SQL queries icon Open climate-pg-ddl.sql Search for TABLE " replace with TABLE climate." (insert the schema name climate) Search for on " replace with on climate." (insert the schema name climate) Press F5 to execute This results in: Query returned successfully with no result in 122 ms. Replies of the Jedi At this point I am stumped. Where do I go from here (what are the steps) to convert climate-my.sql to climate-pg.sql so that they can be executed against PostgreSQL? How to I make sure the indexes are copied over correctly (to maintain referential integrity; I don't have constraints at the moment to ease the transition)? How do I ensure that adding new rows in PostgreSQL will start enumerating from the index of the last row inserted (and not conflict with an existing primary key from the sequence)? Resources A fair bit of information was needed to get this far: https://help.ubuntu.com/community/PostgreSQL http://articles.sitepoint.com/article/site-mysql-postgresql-1 http://wiki.postgresql.org/wiki/Converting_from_other_Databases_to_PostgreSQL#MySQL http://pgfoundry.org/frs/shownotes.php?release_id=810 http://sqlfairy.sourceforge.net/ Thank you!

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  • RT database scaling

    - by rplevy
    Recently I heard someone suggest that RT request tracker may have scalability issues due to its non-normalized database (someone at a Perl meeting I went to referred to it in a positive light as hyper-normalized, but I think he may have misunderstood what normalization is all about). On the other hand I know that large scale enterprises such as Perl's CPAN use RT. Do es this level of scale require special measures to be taken to handle what happens when the db grows too large? What have your experiences been?

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  • SQL - .NET - SqlParameters - AddWithValue - Are there any negative performance implications when Par

    - by hamlin11
    http://msdn.microsoft.com/en-us/library/system.data.sqlclient.sqlparametercollection.addwithvalue.aspx I'm used to adding sql parameters to a sqlCommand using the add() function. This allows me to specify the type of the sqlParameter, but it requires another line to set the value. It's nice to use the AddWithValue function, but it skips the "specify the parameter type" step. I'm guessing this causes the parameters to be sent over as strings contained within single quotes (''), but I'm not sure. Is this the case, and does this cause significantly slower performance of the stored procedures? Note: I understand that it is nice to validate user data on the .NET side of things by specifying the data type for params -- I'm only concerned about reflection-type overhead of AddWithValue either on the .NET or SQL side.

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  • C# WMI, Performance Counters, & SNMP Oh My!

    - by Keith
    I have a C# windows service which listens to a MSMQ and sends each message out as an email. Since there's no UI, I'd like to offer an ability to monitor this service to see things such as # messages in queue, # emails sent (by message type perhaps), # of errors, etc. What is the best/recommended way to accomplish this? Is it WMI or performance counters? Is this data viewed using PerfMon or WMI CIM Studio? Does any approach allow one to monitor the service real-time as well as providing historical analysis? I can dig into the details myself but would appreciate some broad guidance to help demystify this subject.

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  • Stand alone or free application to backup ADAM / AD LDS database files

    - by Darqer
    Do you know any small standalone and free tool, that can be run in console, to backup / restore ADAM / AD LDS database files (like adamntds.dit, edbres00001.jrs etc.). I tried to stop ADAM service and copy / paste these files to other location but afterwards I was unable to restore ADAM from these files. I know I could use on ws 2003 some backup tool that was provided by microsoft but it seems to be unavailable on ws 2008.

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  • MySQL on Linux out of memory

    - by Sunrays
    OS: Redhat Enterprise Linux Server Release 5.3 (Tikanga) Architecture: Intel Xeon 64Bit MySQL Server 5.5.20 Enterprise Server advanced edition. Application: Liferay. My database size is 200MB. RAM is 64GB. The memory consumption increases gradually and we run out of memory. Then only rebooting releases all the memory, but then process of memory consumption starts again and reaches 63-64GB in less than a day. Parameters detail: key_buffer_size=16M innodb_buffer_pool_size=3GB inndb_buffer_pool_instances=3 max_connections=1000 innodb_flush_method=O_DIRECT innodb_change_buffering=inserts read_buffer_size=2M read_rnd_buffer_size=256K It's a serious production server issue that I am facing. What could be the reason behind this and how to resolve. This is the report of 2pm today, after Linux was rebooted yesterday @ around 10pm. Output of free -m total used free shared buffers cached Mem: 64455 22053 42402 0 1544 1164 -/+ buffers/cache: 19343 45112 Swap: 74998 0 74998 Output of vmstat 2 5 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 0 0 0 43423976 1583700 1086616 0 0 1 173 22 27 1 1 98 0 0 2 0 0 43280200 1583712 1228636 0 0 0 146 1265 491 2 2 96 1 0 0 0 0 43421940 1583724 1087160 0 0 0 138 1469 738 2 1 97 0 0 1 0 0 43422604 1583728 1086736 0 0 0 5816 1615 934 1 1 97 0 0 0 0 0 43422372 1583732 1086752 0 0 0 2784 1323 545 2 1 97 0 0 Output of top -n 3 -b top - 14:16:22 up 16:32, 5 users, load average: 0.79, 0.77, 0.93 Tasks: 345 total, 1 running, 344 sleeping, 0 stopped, 0 zombie Cpu(s): 1.0%us, 0.9%sy, 0.0%ni, 98.1%id, 0.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 66002772k total, 22656292k used, 43346480k free, 1582152k buffers Swap: 76798724k total, 0k used, 76798724k free, 1163616k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 6434 mysql 15 0 4095m 841m 5500 S 113.5 1.3 426:53.69 mysqld 1 root 15 0 10344 680 572 S 0.0 0.0 0:03.09 init 2 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/0 3 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/0 4 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/1 6 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/1 7 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/1 8 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/2 9 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/2 10 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/2 11 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/3 12 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/3 13 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/3 14 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/4 15 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/4 16 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/4 17 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/5 18 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/5 19 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/5 20 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/6 21 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/6 22 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/6 23 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/7 24 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/7 25 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/7 26 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/8 27 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/8 28 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/8 29 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/9 30 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/9 31 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/9 32 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/10 33 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/10 34 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/10 35 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/11 36 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/11 37 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/11 38 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/12 39 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/12 40 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/12 41 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/13 42 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/13 43 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/13 44 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/14 45 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/14 46 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/14 47 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/15 48 root 34 19 0 0 0 S 0.0 0.0 0:00.01 ksoftirqd/15 49 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/15 50 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/16 51 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/16 52 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/16 53 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/17 54 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/17 55 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/17 56 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/18 57 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/18 58 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/18 59 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/19 60 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/19 61 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/19 62 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/20 63 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/20 64 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/20 65 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/21 66 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/21 67 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/21 68 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/22 69 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/22 70 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/22 71 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/23 72 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/23 73 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/23 74 root 10 -5 0 0 0 S 0.0 0.0 0:00.02 events/0 75 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/1 76 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/2 77 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/3 78 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/4 79 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/5 80 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/6 81 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/7 82 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/8 83 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/9 84 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/10 85 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/11 86 root 10 -5 0 0 0 S 0.0 0.0 0:00.01 events/12 87 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/13 88 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/14 89 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/15 90 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/16 91 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/17 92 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/18 93 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/19 94 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/20 95 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/21 96 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/22 97 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/23 98 root 10 -5 0 0 0 S 0.0 0.0 0:00.01 khelper 615 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kthread 643 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/0 644 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/1 645 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/2 646 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/3 647 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/4 648 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/5 649 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/6 650 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/7 651 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/8 652 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/9 653 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/10 654 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/11 655 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/12 656 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/13 657 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/14 658 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/15 659 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/16 660 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/17 661 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/18 662 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/19 663 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/20 664 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/21 665 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/22 666 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/23 667 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 kacpid 840 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/0 841 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/1 842 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/2 843 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/3 844 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/4 845 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/5 846 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/6 847 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/7 848 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/8 849 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/9 850 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/10 851 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/11 852 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/12 853 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/13 854 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/14 855 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/15 856 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/16 857 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/17 858 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/18 859 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/19 860 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/20 861 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/21 862 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/22 863 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/23 866 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 khubd 868 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kseriod 1118 root 23 0 0 0 0 S 0.0 0.0 0:00.00 pdflush 1119 root 15 0 0 0 0 S 0.0 0.0 0:00.11 pdflush 1120 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kswapd0 1121 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kswapd1 1122 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/0 1123 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/1 1124 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/2 1125 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/3 1126 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/4 1127 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/5 1128 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/6 1129 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/7 1130 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/8 1131 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/9 1132 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/10 1133 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/11 1134 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/12 1135 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/13 1136 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/14 1137 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/15 1138 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/16 1139 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/17 1140 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/18 1141 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/19 1142 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/20 1143 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/21 1144 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/22 1145 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/23 1308 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 kpsmoused 1566 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/0 1567 root 10 -5 0 0 0 S 0.0 0.0 0:00.27 ata/1 1568 root 10 -5 0 0 0 S 0.0 0.0 0:02.39 ata/2 1569 root 10 -5 0 0 0 S 0.0 0.0 0:00.07 ata/3 1570 root 10 -5 0 0 0 S 0.0 0.0 0:00.72 ata/4 1571 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/5 1572 root 10 -5 0 0 0 S 0.0 0.0 0:00.15 ata/6 1573 root 10 -5 0 0 0 S 0.0 0.0 0:00.07 ata/7 1574 root 10 -5 0 0 0 S 0.0 0.0 0:00.06 ata/8 1575 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/9 1576 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/10 1577 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/11 1578 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/12 1579 root 10 -5 0 0 0 S 0.0 0.0 0:00.14 ata/13 1580 root 10 -5 0 0 0 S 0.0 0.0 0:01.56 ata/14 1581 root 10 -5 0 0 0 S 0.0 0.0 0:00.04 ata/15 1582 root 10 -5 0 0 0 S 0.0 0.0 0:00.40 ata/16 1583 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/17 1584 root 10 -5 0 0 0 S 0.0 0.0 0:00.11 ata/18 1585 root 10 -5 0 0 0 S 0.0 0.0 0:00.03 ata/19 1586 root 10 -5 0 0 0 S 0.0 0.0 0:00.02 ata/20 1587 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/21 1588 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/22 1589 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/23 1590 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 ata_aux 1616 root 10 -5 0 0 0 S 0.0 0.0 0:17.20 scsi_eh_0 1617 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_1 1668 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_2 1669 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 qla2xxx_2_dpc 1670 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_wq_2 1671 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 fc_wq_2 1672 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 fc_dl_2 1673 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_3 1674 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 qla2xxx_3_dpc 1675 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_wq_3 1676 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 fc_wq_3 1677 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 fc_dl_3 1728 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 kstriped 1829 root 10 -5 0 0 0 S 0.0 0.0 1:09.14 kjournald 1857 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kauditd 1891 root 11 -4 13008 1188 388 S 0.0 0.0 0:00.40 udevd 4555 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/0 4556 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/1 4557 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/2 4558 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/3 4559 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/4 4560 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/5 4561 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/6 4562 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/7 4563 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/8 4564 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/9 4565 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/10 4566 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/11 4567 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/12 4568 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/13 4569 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/14 4570 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/15 4571 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/16 4572 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/17 4573 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/18 4574 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/19 4575 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/20 4576 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/21 4577 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/22 4578 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/23 4579 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 kmpath_handlerd 4734 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kjournald 4736 root 10 -5 0 0 0 S 0.0 0.0 0:04.82 kjournald 4744 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kjournald 5238 root RT 0 87584 3648 2768 S 0.0 0.0 0:03.60 multipathd 5537 root 11 -4 27328 812 580 S 0.0 0.0 0:00.14 auditd 5539 root 7 -8 81804 768 616 S 0.0 0.0 0:00.04 audispd 5564 root 15 0 5904 632 512 S 0.0 0.0 0:00.10 syslogd 5567 root 15 0 3800 432 344 S 0.0 0.0 0:00.01 klogd 5579 root 18 0 10728 384 244 S 0.0 0.0 0:00.42 irqbalance 5592 rpc 18 0 8048 584 464 S 0.0 0.0 0:00.00 portmap 5625 root 18 0 11032 768 632 S 0.0 0.0 0:00.00 rpc.statd 5681 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/0 5682 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/1 5683 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/2 5684 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/3 5685 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/4 5686 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/5 5687 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/6 5688 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/7 5689 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/8 5690 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/9 5691 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/10 5692 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/11

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  • Need advice on speeding up tableViewCell photo loading performance

    - by ambertch
    I have around 20 tableview cells that each contain a number (2-5) thumbnail sized pictures (they are VERY small Facebook profile pictures, ex. http://profile.ak.fbcdn.net/hprofile-ak-sf2p/hs254.snc3/23133_201668_2989_q.jpg). Each picture is an UIImageView added to the cell's contentview. Scrolling performance is poor, and measuring the draw time I've found the UIImage rendering is the bottleneck. I've researched/thought of some solutions but as I am new to iphone development I am not sure which strategy to pursue: preload all the images and retrieve them from disk instead of URL when drawing cells (I'm not sure if cell drawing will still be slow, so I want to hold off on the time investment here) Have the cells display a placeholder image from disk, while the picture is asynchronously loaded (this seems to be the best solution, but I'm currently not sure exactly how to do best do this) There's the fast drawing recommendation from Tweetie, but I don't know that will have much affect if it turns out my overhead is in network loading (http://blog.atebits.com/2008/12/fast-scrolling-in-tweetie-with-uitableview/) Thoughts/implementation advice? Thanks!

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  • PhysX for massive performance via GPU ?

    - by devdude
    I recently compared some of the physics engine out there for simulation and game development. Some are free, some are opensource, some are commercial (1 is even very commercial $$$$). Havok, Ode, Newton (aka oxNewton), Bullet, PhysX and "raw" build-in physics in some 3D engines. At some stage I came to conclusion or question: Why should I use anything but NVidia PhysX if I can make use of its amazing performance (if I need it) due to GPU processing ? With future NVidia cards I can expect further improvement independent of the regular CPU generation steps. The SDK is free and it is available for Linux as well. Of course it is a bit of vendor lock-in and it is not opensource. Whats your view or experience ? If you would start right now with development, would you agree with the above ? cheers

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