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  • appending to cursor in oracle

    - by Omnipresent
    I asked a question yesterday which got answers but didnt answer the main point. I wanted to reduce amount of time it took to do a MINUS operation. Now, I'm thinking about doing MINUS operation in blocks of 5000, appending each iterations results to the cursor and finally returning the cursor. I have following: V_CNT NUMBER :=0; V_INTERVAL NUMBER := 5000; begin select count(1) into v_cnt from TABLE_1 while (v_cnt > 0) loop open cv_1 for SELECT A.HEAD,A.EFFECTIVE_DATE, FROM TABLE_1 A WHERE A.TYPE_OF_ACTION='6' AND A.EFFECTIVE_DATE >= ADD_MONTHS(SYSDATE,-15) AND A.ROWNUM <= V_INTERVAL MINUS SELECT B.head,B.EFFECTIVE_DATE, FROM TABLE_2 B AND B.ROWNUM <= V_INTERVAL V_CNT := V_CNT - V_INTERVAL; END LOOP; end; However, as you see...in each iteration the cursor is overwritten. How can I change the code so that in each iteration it appends to cv_1 cursor rather than overwriting?

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  • Simple Python Challenge: Fastest Bitwise XOR on Data Buffers

    - by user213060
    Challenge: Perform a bitwise XOR on two equal sized buffers. The buffers will be required to be the python str type since this is traditionally the type for data buffers in python. Return the resultant value as a str. Do this as fast as possible. The inputs are two 1 megabyte (2**20 byte) strings. The challenge is to substantially beat my inefficient algorithm using python or existing third party python modules (relaxed rules: or create your own module.) Marginal increases are useless. from os import urandom from numpy import frombuffer,bitwise_xor,byte def slow_xor(aa,bb): a=frombuffer(aa,dtype=byte) b=frombuffer(bb,dtype=byte) c=bitwise_xor(a,b) r=c.tostring() return r aa=urandom(2**20) bb=urandom(2**20) def test_it(): for x in xrange(1000): slow_xor(aa,bb)

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  • SQL Server lock/hang issue

    - by mattwoberts
    Hi, I'm using SQL Server 2008 on Windows Server 2008 R2, all sp'd up. I'm getting occasional issues with SQL Server hanging with the CPU usage on 100% on our live server. It seems all the wait time on SQL Sever when this happens is given to SOS_SCHEDULER_YIELD. Here is the Stored Proc that causes the hang. I've added the "WITH (NOLOCK)" in an attempt to fix what seems to be a locking issue. ALTER PROCEDURE [dbo].[MostPopularRead] AS BEGIN SET NOCOUNT ON; SELECT c.ForeignId , ct.ContentSource as ContentSource , sum(ch.HitCount * hw.Weight) as Popularity , (sum(ch.HitCount * hw.Weight) * 100) / @Total as Percent , @Total as TotalHits from ContentHit ch WITH (NOLOCK) join [Content] c WITH (NOLOCK) on ch.ContentId = c.ContentId join HitWeight hw WITH (NOLOCK) on ch.HitWeightId = hw.HitWeightId join ContentType ct WITH (NOLOCK) on c.ContentTypeId = ct.ContentTypeId where ch.CreatedDate between @Then and @Now group by c.ForeignId , ct.ContentSource order by sum(ch.HitCount * hw.HitWeightMultiplier) desc END The stored proc reads from the table "ContentHit", which is a table that tracks when content on the site is clicked (it gets hit quite frequently - anything from 4 to 20 hits a minute). So its pretty clear that this table is the source of the problem. There is a stored proc that is called to add hit tracks to the ContentHit table, its pretty trivial, it just builds up a string from the params passed in, which involves a few selects from some lookup tables, followed by the main insert: BEGIN TRAN insert into [ContentHit] (ContentId, HitCount, HitWeightId, ContentHitComment) values (@ContentId, isnull(@HitCount,1), isnull(@HitWeightId,1), @ContentHitComment) COMMIT TRAN The ContentHit table has a clustered index on its ID column, and I've added another index on CreatedDate since that is used in the select. When I profile the issue, I see the Stored proc executes for exactly 30 seconds, then the SQL timeout exception occurs. If it makes a difference the web application using it is ASP.NET, and I'm using Subsonic (3) to execute these stored procs. Can someone please advise how best I can solve this problem? I don't care about reading dirty data... Thanks

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  • Rationale behind Python's preferred for syntax

    - by susmits
    What is the rationale behind the advocated use of the for i in xrange(...)-style looping constructs in Python? For simple integer looping, the difference in overheads is substantial. I conducted a simple test using two pieces of code: File idiomatic.py: #!/usr/bin/env python M = 10000 N = 10000 if __name__ == "__main__": x, y = 0, 0 for x in xrange(N): for y in xrange(M): pass File cstyle.py: #!/usr/bin/env python M = 10000 N = 10000 if __name__ == "__main__": x, y = 0, 0 while x < N: while y < M: y += 1 x += 1 Profiling results were as follows: bash-3.1$ time python cstyle.py real 0m0.109s user 0m0.015s sys 0m0.000s bash-3.1$ time python idiomatic.py real 0m4.492s user 0m0.000s sys 0m0.031s I can understand why the Pythonic version is slower -- I imagine it has a lot to do with calling xrange N times, perhaps this could be eliminated if there was a way to rewind a generator. However, with this deal of difference in execution time, why would one prefer to use the Pythonic version?

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  • Optimizing MySql query to avoid using "Using filesort"

    - by usef_ksa
    I need your help to optimize the query to avoid using "Using filesort".The job of the query is to select all the articles that belongs to specific tag. The query is: "select title from tag,article where tag='Riyad' AND tag.article_id=article.id order by tag.article_id". the tables structure are the following: Tag table CREATE TABLE `tag` ( `tag` VARCHAR( 30 ) NOT NULL , `article_id` INT NOT NULL , INDEX ( `tag` ) ) ENGINE = MYISAM ; Article table CREATE TABLE `article` ( `id` INT NOT NULL AUTO_INCREMENT PRIMARY KEY , `title` VARCHAR( 60 ) NOT NULL ) ENGINE = MYISAM Sample data INSERT INTO `article` VALUES (1, 'About Riyad'); INSERT INTO `article` VALUES (2, 'About Newyork'); INSERT INTO `article` VALUES (3, 'About Paris'); INSERT INTO `article` VALUES (4, 'About London'); INSERT INTO `tag` VALUES ('Riyad', 1); INSERT INTO `tag` VALUES ('Saudia', 1); INSERT INTO `tag` VALUES ('Newyork', 2); INSERT INTO `tag` VALUES ('USA', 2); INSERT INTO `tag` VALUES ('Paris', 3); INSERT INTO `tag` VALUES ('France', 3);

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  • How to recognize what indexes are not used?

    - by tomaszs
    I have a table in MySQL with 7 indexes, most of them are on more than one column. I think here is too much indexes. Is there any way to get statistics of what indexes are used more by all thousands of queries to this database and what are less worthy so I know what index to consider to remove in first place?

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  • Showing response time in a rails app.

    - by anshul
    I want to display a This page took x seconds widget at the bottom of every page in my rails application. I would like x to reflect the approximate amount of time the request spent on my server. What is the usual way this is done in Rails?

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  • Slow retrieval of data in SQLITE takes a long using ContentProvider

    - by Arlyn
    I have an application in Android (running 4.0.3) that stores a lot of data in Table A. Table A resides in SQLite Database. I am using a ContentProvider as an abstraction layer above the database. Lots of data here means almost 80,000 records per month. Table A is structured like this: String SQL_CREATE_TABLE = "CREATE TABLE IF NOT EXISTS " + TABLE_A + " ( " + COLUMN_ID + " INTEGER PRIMARY KEY NOT NULL" + "," + COLUMN_GROUPNO + " INTEGER NOT NULL DEFAULT(0)" + "," + COLUMN_TIMESTAMP + " DATETIME UNIQUE NOT NULL" + "," + COLUMN_TAG + " TEXT" + "," + COLUMN_VALUE + " REAL NOT NULL" + "," + COLUMN_DEVICEID + " TEXT NOT NULL" + "," + COLUMN_NEW + " NUMERIC NOT NULL DEFAULT(1)" + " )"; Here is the index statement: String SQL_CREATE_INDEX_TIMESTAMP = "CREATE INDEX IF NOT EXISTS " + TABLE_A + "_" + COLUMN_TIMESTAMP + " ON " + TABLE_A + " (" + COLUMN_TIMESTAMP + ") "; I have defined the columns as well as the table name as String Constants. I am already experiencing significant slow down when retrieving this data from Table A. The problem is that when I retrieve data from this table, I first put it in an ArrayList and then I display it. Obviously, this is possibly the wrong way of doing things. I am trying to find a better way to approach this problem using a ContentProvider. But this is not the problem that bothers me. The problem is for some reason, it takes a lot longer to retrieve data from other tables which have only upto 12 records maximum. I see this delay increase as the number of records in Table A increase. This does not make any sense. I can understand the delay if I retrieve data from Table A, but why the delay in retrieving data from other tables. To clarify, I do not experience this delay if Table A is empty or has less than 3000 records. What could be the problem?

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  • SQL Server Mutliple Joins Taxing CPU

    - by durilai
    I have a stored procedure on SQL server 2005. It is pulling from a Table function, and has two joins. When the query is run using a load test it kills the CPU 100% across all 16 cores! I have determined that removing one of the joins makes the query run fine, but both taxes the CPU. Select SKey From dbo.tfnGetLatest(@ID) a left join [STAGING].dbo.RefSrvc b on a.LID = b.ESIID left join [STAGING].dbo.RefSrvc c on a.EID = c.ESIID Any help is appreciated, note the join is happening on the same table in a different database on the same server.

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  • Faster integer division when denominator is known?

    - by aaa
    hi I am working on GPU device which has very high division integer latency, several hundred cycles. I am looking to optimize divisions. All divisions by denominator which is in a set { 1,3,6,10 }, however numerator is a runtime positive value, roughly 32000 or less. due to memory constraints, lookup table is not option. Can you think of alternatives? I have thought of computing float point inverses, and using those to multiply numerator. Thanks

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  • Will more CPUs/cores help with VS.NET build times?

    - by LoveMeSomeCode
    I was wondering if anyone knew whether Visual Studio .NET had a parallel build process or not? I have a solution with lots of projects, every project has lots of markup/code, lots of types, etc. Just sitting there with intellisense on runs it up to about 700MB. But the build times are really slow and only seem to max out one of my two cpu cores. Does this mean the build process is single threaded? My solution's build dependency chain isn't linear, so I don't see why it couldn't be building some of the projects in parallel. I remember Joel Spolsky blogging about his new SSD, and how it didn't help with compile times, but he didn't mention which compiler he was using. We're using VS 2005. Anyone know how it's compilation works? And is it any different/better in 2008/2010?

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  • Web Page execution

    - by Sweta Jha
    I have a web page which brings 13K+ records in 20 seconds. There is a menu on the page, clicking on which navigates me to another page which is very lightweight. Displaying the data (13K+) took only 20 seconds whereas navigating from that page took much longer, more than 2 mins. Can you tell me why is the latter taking so much of time. I've stopped the page_load code execution on click of the menu. I've disabled the viewstate for that page as well.

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  • What kind of data processing problems would CUDA help with?

    - by Chris McCauley
    Hi, I've worked on many data matching problems and very often they boil down to quickly and in parallel running many implementations of CPU intensive algorithms such as Hamming / Edit distance. Is this the kind of thing that CUDA would be useful for? What kinds of data processing problems have you solved with it? Is there really an uplift over the standard quad-core intel desktop? Chris

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  • SQL Overlapping and Multi-Column Indexes

    - by durilai
    I am attempting to tune some stored procedures and have a question on indexes. I have used the tuning advisor and they recommended two indexes, both for the same table. The issue is one index is for one column and the other is for multiple columns, of which it includes the same column from the first. My question is why and what is the difference? CREATE NONCLUSTERED INDEX [_dta_index_Table1_5_2079723603__K23_K17_K13_K12_K2_K10_K22_K14_K19_K20_K9_K11_5_6_7_15_18] ON [dbo].[Table1] ( [EfctvEndDate] ASC, [StuLangCodeKey] ASC, [StuBirCntryCodeKey] ASC, [StuBirStOrProvncCodeKey] ASC, [StuKey] ASC, [GndrCodeKey] ASC, [EfctvStartDate] ASC, [StuHspncEnctyIndctr] ASC, [StuEnctyMsngIndctr] ASC, [StuRaceMsngIndctr] ASC, [StuBirDate] ASC, [StuBirCityName] ASC ) INCLUDE ( [StuFstNameLgl], [StuLastOrSrnmLgl], [StuMdlNameLgl], [StuIneligSnorImgrntIndctr], [StuExpctdGrdtngClYear] ) WITH (SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF) ON [PRIMARY] go CREATE NONCLUSTERED INDEX [_dta_index_Table1_5_2079723603__K23] ON [dbo].[Table1] ( [EfctvEndDate] ASC )WITH (SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF) ON [PRIMARY]

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  • Where is my python script spending time? Is there "missing time" in my cprofile / pstats trace?

    - by fmark
    I am attempting to profile a long running python script. The script does some spatial analysis on raster GIS data set using the gdal module. The script currently uses three files, the main script which loops over the raster pixels called find_pixel_pairs.py, a simple cache in lrucache.py and some misc classes in utils.py. I have profiled the code on a moderate sized dataset. pstats returns: p.sort_stats('cumulative').print_stats(20) Thu May 6 19:16:50 2010 phes.profile 355483738 function calls in 11644.421 CPU seconds Ordered by: cumulative time List reduced from 86 to 20 due to restriction <20> ncalls tottime percall cumtime percall filename:lineno(function) 1 0.008 0.008 11644.421 11644.421 <string>:1(<module>) 1 11064.926 11064.926 11644.413 11644.413 find_pixel_pairs.py:49(phes) 340135349 544.143 0.000 572.481 0.000 utils.py:173(extent_iterator) 8831020 18.492 0.000 18.492 0.000 {range} 231922 3.414 0.000 8.128 0.000 utils.py:152(get_block_in_bands) 142739 1.303 0.000 4.173 0.000 utils.py:97(search_extent_rect) 745181 1.936 0.000 2.500 0.000 find_pixel_pairs.py:40(is_no_data) 285478 1.801 0.000 2.271 0.000 utils.py:98(intify) 231922 1.198 0.000 2.013 0.000 utils.py:116(block_to_pixel_extent) 695766 1.990 0.000 1.990 0.000 lrucache.py:42(get) 1213166 1.265 0.000 1.265 0.000 {min} 1031737 1.034 0.000 1.034 0.000 {isinstance} 142740 0.563 0.000 0.909 0.000 utils.py:122(find_block_extent) 463844 0.611 0.000 0.611 0.000 utils.py:112(block_to_pixel_coord) 745274 0.565 0.000 0.565 0.000 {method 'append' of 'list' objects} 285478 0.346 0.000 0.346 0.000 {max} 285480 0.346 0.000 0.346 0.000 utils.py:109(pixel_coord_to_block_coord) 324 0.002 0.000 0.188 0.001 utils.py:27(__init__) 324 0.016 0.000 0.186 0.001 gdal.py:848(ReadAsArray) 1 0.000 0.000 0.160 0.160 utils.py:50(__init__) The top two calls contain the main loop - the entire analyis. The remaining calls sum to less than 625 of the 11644 seconds. Where are the remaining 11,000 seconds spent? Is it all within the main loop of find_pixel_pairs.py? If so, can I find out which lines of code are taking most of the time?

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  • Combine static files or load in parallel

    - by Niall Collins
    I am at present introducing code to my site to combine css and javascript files. Is there a way without having to include an external library to load javascript asynchronously or in parallel? I have read on some blogs that combining of files can be counter productive as the load of the http request can be large and its better to load multiple files in parallel. Opinions on this? I am caching my javascript/css. And would have thought it was better to combine rather than have multiple http requests.

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  • Writing a DBMS in Python

    - by Matt Luongo
    Hey guys, I'm working on a basic DBMS as a pet project and planning to prototype in Python. I figure there's a reason there are only a few Python databases, and my gut agrees that my favorite language will be too slow to act as an honest performing database, but I'm looking forward to using it to learn what I need quickly. Would someone please contradict me? Is Python as ill-suited right now for this sort of thing as I think?

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  • How to speed up the reading of innerHTML in IE8?

    - by Dennis Cheung
    I am using JQuery with the DataTable plugin, and now I have a big performnce issue on the following line. aLocalData[jInner] = nTds[j].innerHTML; // jquery.dataTables.js:2220 I have a ajax call, and result string in HTML format. I convert them into HTML nodes, and that part is ok. var $result = $('<div/>').html(result).find("*:first"); // simlar to $result=$(result) but much more faster in Fx Then I activate enable the result from a plain table to a sortable datatable. The speed is acceptable in Fx (around 4sec for 900 rows), but unacceptable in IE8 (more then 100 seconds). I check it deep using the buildin profiler, and found the above single line take all 99.9% of the time, how can I speed it up? anything I missed? nTrs = oSettings.nTable.getElementsByTagName('tbody')[0].childNodes; for ( i=0, iLen=nTrs.length ; i<iLen ; i++ ) { if ( nTrs[i].nodeName == "TR" ) { iThisIndex = oSettings.aoData.length; oSettings.aoData.push( { "nTr": nTrs[i], "_iId": oSettings.iNextId++, "_aData": [], "_anHidden": [], "_sRowStripe": '' } ); oSettings.aiDisplayMaster.push( iThisIndex ); aLocalData = oSettings.aoData[iThisIndex]._aData; nTds = nTrs[i].childNodes; jInner = 0; for ( j=0, jLen=nTds.length ; j<jLen ; j++ ) { if ( nTds[j].nodeName == "TD" ) { aLocalData[jInner] = nTds[j].innerHTML; // jquery.dataTables.js:2220 jInner++; } } } }

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  • XDocument holding onto Memory?

    - by Jon
    I have an appplication that does a XDocument.Load from a 20mb file and then gets passed to a form to view its contents: openFileDialog1.FileName = ""; if (openFileDialog1.ShowDialog() == DialogResult.OK) { AuditFile = XDocument.Load(openFileDialog1.FileName); fmAuditLogViewer AuditViewer = new fmAuditLogViewer(); AuditViewer.ReportDocument = AuditFile; AuditViewer.Init(); AuditViewer.ShowDialog(); AuditViewer.Dispose(); AuditFile.RemoveNodes(); AuditFile = null; } In Task Manager I can see the memory being used by my application shoot up when I open this file. When I have finished viewing this file in my application I call : myXDocument.RemoveNodes(); myXDocument = null; However the memory use in Task Manager is still pretty high against my app. Is the XDocument still being held in memory and can I decrease the memory usage by my app?

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  • Explanation for expires header

    - by sushil bharwani
    I have a joomla application working on Apache.To improve site performace we have written a .htaccess file to root of the application with setting a far future expires header to all the static content. As desired first time the files load in fresh with 200 status code. when again click on the same link many of the files are served directly from cache. I need explanation for two things When i press f5 then a number of files load with 304 status code however i expected them to be coming directly from cache without hitting the server for a status header? When i close the browser and come back to the same page again i see the same thing happening a number of files load with 304 status code although i thought they will load directly from the browser cache? I understand that 304 also servs file from browser cache but i want to avoid the header communication between servers as my static files wont ever change. Also i want to add that my requests are over a https connection does that create any issue.

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