Search Results

Search found 13403 results on 537 pages for 'epm performance tuning'.

Page 147/537 | < Previous Page | 143 144 145 146 147 148 149 150 151 152 153 154  | Next Page >

  • Does Multiple NSURLConnection make delay of performance?

    - by oksk
    Hi all~. I made a multi files downloader. I implemented NSURLConnection using NSOperationQueue. NSOpetationQueue has many NSURLConnection operations. and, set MaxConcurrentOperationCount to 10. I thought my code is right, But after run the project, it was wrong. there are some connection error has occured. files url were right. and file download was completed. but downloading files, occur "timed out" error. It is so serious. I tested it with 8 files, and those total size is only 3M. But total download time is 2minutes ~!!! one file download spends only a few second. (2~3 s) but multi files download occur many overburden!! (2 minutes) I don't know why it is... Do Anyone know what reason is?

    Read the article

  • Oracle performance problem

    - by jreid42
    We are using an Oracle 11G machine that is very powerful; has redundant storage etc. It's a beast from what I have been told. We just got this DB for a tool that when I first came on as a coop had like 20 people using, now its upwards of 150 people. I am the only one working on it :( We currently have a system in place that distributes PERL scripts across our entire data center essentially giving us a sort of "grid" computing power. The Perl scripts run a sort of simulation and report back the results to the database. They do selects / inserts. The load is not very high for each script but it could be happening across 20-50 systems at the same time. We then have multiple data centers and users all hitting the same database with this same approach. Our main problem with this is that our database is getting overloaded with connections and having to drop some. We sometimes have upwards of 500 connections. These are old perl scripts and they do not handle this well. Essentially they fail and the results are lost. I would rather avoid having to rewrite a lot of these as they are poorly written, and are a headache to even look at. The database itself is not overloaded, just the connection overhead is too high. We open a connection, make a quick query and then drop the connection. Very short connections but many of them. The database team has basically said we need to lower the number of connections or they are going to ignore us. Because this is distributed across our farm we cant implement persistent connections. I do this with our webserver; but its on a fixed system. The other ones are perl scripts that get opened and closed by the distribution tool and thus arent always running. What would be my best approach to resolving this issue? The scripts themselves can wait for a connection to be open. They do not need to act immediately. Some sort of queing system? I've been suggested to set up a few instances of a tool called "SQL Relay". Maybe one in each data center. How reliable is this tool? How good is this approach? Would it work for what we need? We could have one for each data center and relay requests through it to our main database, keeping a pipeline of open persistent connections? Does this make sense? Is there any other suggestions you can make? Any ideas? Any help would be greatly appreciated. Sadly I am just a coop student working for a very big company and somehow all of this has landed all on my shoulders (there is literally nobody to ask for help; its a hardware company, everybody is hardware engineers, and the database team is useless and in India) and I am quite lost as what the best approach would be? I am extremely overworked and this problem is interfering with on going progress and basically needs to be resolved as quickly as possible; preferably without rewriting the whole system, purchasing hardware (not gonna happen), or shooting myself in the foot. HELP LOL!

    Read the article

  • glFramebufferTexture2D performance

    - by nornagon
    I'm doing heavy computation using the GPU, which involves a lot of render-to-texture operations. It's an iterative computation, so there's a lot of rendering to a texture, then rendering that texture to another texture, then rendering the second texture back to the first texture and so on, passing the texture through a shader each time. My question is: is it better to have a separate FBO for each texture I want to render into, or should I rather have one FBO and bind the target texture using glFramebufferTexture2D each time I want to change render target? My platform is OpenGL ES 2.0 on the iPhone.

    Read the article

  • javamail vs sendmail performance during bulk email

    - by Glenn2041
    Hi all, I'm writing a Java mass emailer application to send out emails to send between 50,000 to 100,000 a day to users. The current plan is to delegate the sending to delegate to sendmail (on the local unix server). From our testing sendmail is sending a maximum of 5 emails per second. Would JavaMail be a faster option? Does anyone know what a faster way to send emails. We want to get this process out as quick as possible. Edit: BTW, a pdf will be attached too

    Read the article

  • Spikes in Socket Performance

    - by Harun Prasad
    We are facing random spikes in high throughput transaction processing system using sockets for IPC. Below is the setup used for the run: The client opens and closes new connection for every transaction, and there are 4 exchanges between the server and the client. We have disabled the TIME_WAIT, by setting the socket linger (SO_LINGER) option via getsockopt as we thought that the spikes were caused due to the sockets waiting in TIME_WAIT. There is no processing done for the transaction. Only messages are passed. OS used Centos 5.4 The average round trip time is around 3 milli seconds, but some times the round trip time ranges from 100 milli seconds to couple of seconds. Steps used for Execution and Measurement and output Starting the server $ python sockServerLinger.py /dev/null & Starting the client to post 1 million transactions to the server. And logs the time for a transaction in the client.log file. $ python sockClient.py 1000000 client.log Once the execution finishes the following command will show the execution time greater than 100 milliseconds in the format <line_number>:<execution_time>. $ grep -n "0.[1-9]" client.log | less Below is the example code for Server and Client. Server # File: sockServerLinger.py import socket, traceback,time import struct host = '' port = 9999 l_onoff = 1 l_linger = 0 lingeropt = struct.pack('ii', l_onoff, l_linger) s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) s.setsockopt(socket.SOL_SOCKET, socket.SO_LINGER, lingeropt) s.bind((host, port)) s.listen(1) while 1: try: clientsock, clientaddr = s.accept() print "Got connection from", clientsock.getpeername() data = clientsock.recv(1024*1024*10) #print "asdasd",data numsent=clientsock.send(data) data1 = clientsock.recv(1024*1024*10) numsent=clientsock.send(data) ret = 1 while(ret>0): data1 = clientsock.recv(1024*1024*10) ret = len(data) clientsock.close() except KeyboardInterrupt: raise except: print traceback.print_exc() continue Client # File: sockClient.py import socket, traceback,sys import time i = 0 while 1: try: st = time.time() s = socket.socket(socket.AF_INET,socket.SOCK_STREAM) while (s.connect_ex(('127.0.0.1',9999)) != 0): continue numsent=s.send("asd"*1000) response = s.recv(6000) numsent=s.send("asd"*1000) response = s.recv(6000) i+=1 if i == int(sys.argv[1]): break except KeyboardInterrupt: raise except: print "in exec:::::::::::::",traceback.print_exc() continue print time.time() -st

    Read the article

  • How to improve performance of Jquery autocomplete

    - by Bjorn
    Hi, i was planning to use jquery autocomplete for a site and have implemented a test version. Im now using an ajax call to retrieve a new list of strings for every character input. The problem is that it gets rather slow, 1.5s before the new list is populated. What is the best way to make autocomplete fast? Im using cakephp and just doing a find and with a limit of 10 items. Cheers Bjorn

    Read the article

  • MySQL Query performance - huge difference in time

    - by Damo
    I have a query that is returning in vastly different amounts of time between 2 datasets. For one set (database A) it returns in a few seconds, for the other (database B)....well I haven't waited long enough yet, but over 10 minutes. I have dumped both of these databases to my local machine where I can reproduce the issue running MySQL 5.1.37. Curiously, database B is smaller than database A. A stripped down version of the query that reproduces the problem is: SELECT * FROM po_shipment ps JOIN po_shipment_item psi USING (ship_id) JOIN po_alloc pa ON ps.ship_id = pa.ship_id AND pa.UID_items = psi.UID_items JOIN po_header ph ON pa.hdr_id = ph.hdr_id LEFT JOIN EVENT_TABLE ev0 ON ev0.TABLE_ID1 = ps.ship_id AND ev0.EVENT_TYPE = 'MAS0' LEFT JOIN EVENT_TABLE ev1 ON ev1.TABLE_ID1 = ps.ship_id AND ev1.EVENT_TYPE = 'MAS1' LEFT JOIN EVENT_TABLE ev2 ON ev2.TABLE_ID1 = ps.ship_id AND ev2.EVENT_TYPE = 'MAS2' LEFT JOIN EVENT_TABLE ev3 ON ev3.TABLE_ID1 = ps.ship_id AND ev3.EVENT_TYPE = 'MAS3' LEFT JOIN EVENT_TABLE ev4 ON ev4.TABLE_ID1 = ps.ship_id AND ev4.EVENT_TYPE = 'MAS4' LEFT JOIN EVENT_TABLE ev5 ON ev5.TABLE_ID1 = ps.ship_id AND ev5.EVENT_TYPE = 'MAS5' WHERE ps.eta >= '2010-03-22' GROUP BY ps.ship_id LIMIT 100; The EXPLAIN query plan for the first database (A) that returns in ~2 seconds is: +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | ps | range | PRIMARY,IX_ETA_DATE | IX_ETA_DATE | 4 | NULL | 174 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | ev0 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev1 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev2 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev3 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev4 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev5 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | psi | ref | PRIMARY,IX_po_shipment_item_po_shipment1,FK_po_shipment_item_po_shipment1 | IX_po_shipment_item_po_shipment1 | 4 | UNIVIS_PROD.ps.ship_id | 1 | | | 1 | SIMPLE | pa | ref | IX_po_alloc_po_shipment_item2,IX_po_alloc_po_details_old,FK_po_alloc_po_shipment1,FK_po_alloc_po_shipment_item1,FK_po_alloc_po_header1 | FK_po_alloc_po_shipment1 | 4 | UNIVIS_PROD.psi.ship_id | 5 | Using where | | 1 | SIMPLE | ph | eq_ref | PRIMARY,IX_HDR_ID | PRIMARY | 4 | UNIVIS_PROD.pa.hdr_id | 1 | | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+------------------------------+------+----------------------------------------------+ The EXPLAIN query plan for the second database (B) that returns in 600 seconds is: +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+--------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+--------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | ps | range | PRIMARY,IX_ETA_DATE | IX_ETA_DATE | 4 | NULL | 38 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | psi | ref | PRIMARY,IX_po_shipment_item_po_shipment1,FK_po_shipment_item_po_shipment1 | IX_po_shipment_item_po_shipment1 | 4 | UNIVIS_DEV01.ps.ship_id | 1 | | | 1 | SIMPLE | ev0 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev1 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev2 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev3 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev4 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev5 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.ps.ship_id,const | 1 | | | 1 | SIMPLE | pa | ref | IX_po_alloc_po_shipment_item2,IX_po_alloc_po_details_old,FK_po_alloc_po_shipment1,FK_po_alloc_po_shipment_item1,FK_po_alloc_po_header1 | IX_po_alloc_po_shipment_item2 | 4 | UNIVIS_DEV01.ps.ship_id | 4 | Using where | | 1 | SIMPLE | ph | eq_ref | PRIMARY,IX_HDR_ID | PRIMARY | 4 | UNIVIS_DEV01.pa.hdr_id | 1 | | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+--------------------------------+------+----------------------------------------------+ When database B is running I can look at the MySQL Administrator and the state remains at "Copying to tmp table" indefinitely. Database A also has this state but for only a second or so. There are no differences in the table structure, indexes, keys etc between these databases (I have done show create tables and diff'd them). The sizes of the tables are: database A: po_shipment 1776 po_shipment_item 1945 po_alloc 36298 po_header 71642 EVENT_TABLE 1608 database B: po_shipment 463 po_shipment_item 470 po_alloc 3291 po_header 56149 EVENT_TABLE 1089 Some points to note: Removing the WHERE clause makes the query return < 1 sec. Removing the GROUP BY makes the query return < 1 sec. Removing ev5, ev4, ev3 etc makes the query get faster for each one removed. Can anyone suggest how to resolve this issue? What have I missed? Many Thanks.

    Read the article

  • Asynchronous operations performance

    - by LicenseQ
    One of the features of asynchronous programming in .NET is saving threads during long running operation execution. The FileStream class can be setup to allow asynchronous operations, that allows running (e.g.) a copy operation without virtually using any threads. To my surprise, I found that running asynchronous stream copy performs not only slower, but also uses more processing power than synchronous stream copy equivalent. Is there any benchmark tests were done to compare a synchronous vs asynchronous operation execution (file, network, etc.)? Does it really make sense to perform an asynchronous operation instead of spanning separate thread and perform synchronous operation in server environment if the asynchronous operation is times slower than the synchronous one?

    Read the article

  • Fact or fiction: Webkit’s rendering performance is much lower when used in Qt

    - by Jen
    Using Qt’s Webkit implementation renders much slower than directly implementing the Webkit engine -- is this true or just a myth? From my own experience, I found the load time of a complex page about twice as long in Qt’s “Fancy Browser” example as it does in Google Chrome (which also incorporates a port of Webkit), but I hardly think that is a fair comparison. Any insights on this?

    Read the article

  • performance of linq extension method ElementAt

    - by Fabiano
    Hi The MSDN library entry to Enumerable.ElementAt(TSource) Method says "If the type of source implements IList, that implementation is used to obtain the element at the specified index. Otherwise, this method obtains the specified element." Let's say we have following example: ICollection<int> col = new List<int>() { /* fill with items */ }; IList<int> list = new List<int>() { /* fill with items */ }; col.ElementAt(10000000); list.ElementAt(10000000); Is there any difference in execution? or does ElementAt recognize that col also implements IList< although it's only declared as ICollection<? Thanks

    Read the article

  • Performance of std::pow - cache misses???

    - by Eamon Nerbonne
    I've been trying to optimize a numeric program of mine, and have run into something of a mystery. I'm looping over code that performs thousands of floating point operations, and just 1 call to pow nevertheless, that call takes 5% of the time... That's not necessarily a critical issue, but it is odd, so I'd like to understand what's happening. When I profiled for cache misses, VS.NET 2010RC's profiler reports that virtually all cache misses are occurring in std::pow... so... what's up with that? Is there a faster alternative? I tried powf, but that's only slightly faster; it's still responsible for an abnormal number of cache misses. Why would a basic function like pow cause cache-misses?

    Read the article

  • Slow performance when utilizing Interop.DSOFile to search files by Custom Document Property

    - by Gradatc
    I am new to the world of VB.NET and have been tasked to put together a little program to search a directory of about 2000 Excel spreadsheets and put together a list to display based on the value of a Custom Document Property within that spreadsheet file. Given that I am far from a computer programmer by education or trade, this has been an adventure. I've gotten it to work, the results are fine. The problem is, it takes well over a minute to run. It is being run over a LAN connection. When I run it locally (using a 'test' directory of about 300 files) it executes in about 4 seconds. I'm not sure even what to expect as a reasonable execution speed, so I thought I would ask here. The code is below, if anyone thinks changes there might be of use in speeding things up. Thank you in advance! Private Sub listByPt() Dim di As New IO.DirectoryInfo(dir_loc) Dim aryFiles As IO.FileInfo() = di.GetFiles("*" & ext_to_check) Dim fi As IO.FileInfo Dim dso As DSOFile.OleDocumentProperties Dim sfilename As String Dim sheetInfo As Object Dim sfileCount As String Dim ifilesDone As Integer Dim errorList As New ArrayList() Dim ErrorFile As Object Dim ErrorMessage As String 'Initialize progress bar values ifilesDone = 0 sfileCount = di.GetFiles("*" & ext_to_check).Length Me.lblHighProgress.Text = sfileCount Me.lblLowProgress.Text = 0 With Me.progressMain .Maximum = di.GetFiles("*" & ext_to_check).Length .Minimum = 0 .Value = 0 End With 'Loop through all files in the search directory For Each fi In aryFiles dso = New DSOFile.OleDocumentProperties sfilename = fi.FullName Try dso.Open(sfilename, True) 'grab the PT Initials off of the logsheet Catch excep As Runtime.InteropServices.COMException errorList.Add(sfilename) End Try Try sheetInfo = dso.CustomProperties("PTNameChecker").Value Catch ex As Runtime.InteropServices.COMException sheetInfo = "NONE" End Try 'Check to see if the initials on the log sheet 'match those we are searching for If sheetInfo = lstInitials.SelectedValue Then Dim logsheet As New LogSheet logsheet.PTInitials = sheetInfo logsheet.FileName = sfilename PTFiles.Add(logsheet) End If 'update progress bar Me.progressMain.Increment(1) ifilesDone = ifilesDone + 1 lblLowProgress.Text = ifilesDone dso.Close() Next lstResults.Items.Clear() 'loop through results in the PTFiles list 'add results to the listbox, removing the path info For Each showsheet As LogSheet In PTFiles lstResults.Items.Add(Path.GetFileNameWithoutExtension(showsheet.FileName)) Next 'build error message to display to user ErrorMessage = "" For Each ErrorFile In errorList ErrorMessage += ErrorFile & vbCrLf Next MsgBox("The following Log Sheets were unable to be checked" _ & vbCrLf & ErrorMessage) PTFiles.Clear() 'empty PTFiles for next use End Sub

    Read the article

  • cache memory performance

    - by Krewie
    Hello, i just have a general question about cache memory. How would a program perform badly on a cache based system ? , since cache memory stores adresses from main memory that is requested, aswell as adresses that ranges around the same adress as the one copied from the main memory.

    Read the article

  • Setting up a "cookieless domain" to improve site performance

    - by Django Reinhardt
    I was reading in Google's documentation about improving site speed. One of their recommendations is serving static content (images, css, js, etc.) from a "cookieless domain": Static content, such as images, JS and CSS files, don't need to be accompanied by cookies, as there is no user interaction with these resources. You can decrease request latency by serving static resources from a domain that doesn't serve cookies. Google then says that the best way to do this is to buy a new domain and set it to point to your current one: To reserve a cookieless domain for serving static content, register a new domain name and configure your DNS database with a CNAME record that points the new domain to your existing domain A record. Configure your web server to serve static resources from the new domain, and do not allow any cookies to be set anywhere on this domain. In your web pages, reference the domain name in the URLs for the static resources. This is pretty straight forward stuff, except for the bit where it says to "configure your web server to serve static resources from the new domain, and do not allow any cookies to be set anywhere on this domain". From what I've read, there's no setting in IIS that allows you to say "serve static resources", so how do I prevent ASP.NET from setting cookies on this new domain? At present, even if I'm just requesting a .jpg from the new domain, it sets a cookie on my browser, even though our application's cookies are set to our old domain. For example, ASP.NET sets an ".ASPXANONYMOUS" cookie that (as far as I'm aware) we're not telling it to do. Apologies if this is a real newb question, I'm new at this! Thanks.

    Read the article

  • Visual Studio Performance when editing XAML/Silverlight files

    - by driAn
    When I work on Silverlight projects within Visual Studio 2008, I regularly notice that the XAML editor hangs for up to 10 seconds. This because Visual Studio consumes 100% CPU during that timeframe. Any ideas how I could fix that? I assume this is some kind of background compiling for itellisense or something similiar. It happens during editing, multiple times an hour, without me doing any special actions. System: Server 2008 Std Visual Studio 2008 SP1 latest updates... I wonder if anyone else experienced this issue. Any help would be appreciated.

    Read the article

  • Question about SQL Server HierarchyID depth-first performance

    - by AndalusianCat
    I am trying to implement hierarchyID in a table (dbo.[Message]) containing roughly 50,000 rows (will grow substantially in the future). However it takes 30-40 seconds to retrieve about 25 results. The root node is a filler in order to provide uniqueness, therefor every subsequent row is a child of that dummy row. I need to be able to traverse the table depth-first and have made the hierarchyID column (dbo.[Message].MessageID) the clustering primary key, have also added a computed smallint (dbo.[Message].Hierarchy) which stores the level of the node. Usage: A .Net application passes through a hierarchyID value into the database and I want to be able to retrieve all (if any) children AND parents of that node (besides the root, as it is filler). A simplified version of the query I am using: @MessageID hierarchyID /* passed in from application */ SELECT m.MessageID, m.MessageComment FROM dbo.[Message] as m WHERE m.Messageid.IsDescendantOf(@MessageID.GetAncestor((@MessageID.GetLevel()-1))) = 1 ORDER BY m.MessageID From what I understand, the index should be detected automatically without a hint. From searching forums I have seen people utilizing index hints, at least in the case of breadth-first indexes, as apparently CLR calls may be opaque to the query optimizer. I have spent the past few days trying to find a solution for this issue, but to no avail. I would greatly appreciate any assistance, and as this is my first post, I apologize in advance if this would be considered a 'noobish' question, I have read the MS documentation and searched countless forums, but have not came across a succinct description of the specific issue.

    Read the article

  • Setting data source for reports in Crystal Reports 2008 Java (performance)

    - by Daniel
    Hi, we have Crystal Reports 2008 on the server, and use the Java SDK to display reports and convert them to PDF. Since the server hat its own database, we have to set the data source on the DatabaseController to make CR connect to this database. We do it like specified in the docs, and tried the functions in CRJavaHelper, but for a reason unknown to me setting the connection string takes 300ms to 1500ms. What is the fastest way to tell Crystal which datasource to use in its reports? I already saw a JNDI name somewhere, but i don't believe CR actually does a JNDI lookup to find an existing datasource, doesn't it?

    Read the article

  • Improving Performance of Crystal Reports using Stored Procedures

    - by mjh41
    Recently I updated a Crystal Report that was doing all of its work on the client-side (Selects, formulas, etc) and changed all of the logic to be done on the server-side through Stored Procedures using an Oracle 11g database. Now the report is only being used to display the output of the stored procedures and nothing else. Everything I have read on this subject says that utilizing stored procedures should greatly reduce the running time of the report, but it still takes roughly the same amount of time to retrieve the data from the server. Is there something wrong with the stored procedure I have written, or is the issue in the Crystal Report itself? Here is the stored procedure code along with the package that defines the necessary REF CURSOR. CREATE OR REPLACE PROCEDURE SP90_INVENTORYDATA_ALL ( invdata_cur IN OUT sftnecm.inv_data_all_pkg.inv_data_all_type, dCurrentEndDate IN vw_METADATA.CASEENTRCVDDATE%type, dCurrentStartDate IN vw_METADATA.CASEENTRCVDDATE%type ) AS BEGIN OPEN invdata_cur FOR SELECT vw_METADATA.CREATIONTIME, vw_METADATA.RESRESOLUTIONDATE, vw_METADATA.CASEENTRCVDDATE, vw_METADATA.CASESTATUS, vw_METADATA.CASENUMBER, (CASE WHEN vw_METADATA.CASEENTRCVDDATE < dCurrentStartDate AND ( (vw_METADATA.CASESTATUS is null OR vw_METADATA.CASESTATUS != 'Closed') OR TO_DATE(vw_METADATA.RESRESOLUTIONDATE, 'MM/DD/YYYY') >= dCurrentStartDate) then 1 else 0 end) InventoryBegin, (CASE WHEN (to_date(vw_METADATA.RESRESOLUTIONDATE, 'MM/DD/YYYY') BETWEEN dCurrentStartDate AND dCurrentEndDate) AND vw_METADATA.RESRESOLUTIONDATE is not null AND vw_METADATA.CASESTATUS is not null then 1 else 0 end) CaseClosed, (CASE WHEN vw_METADATA.CASEENTRCVDDATE BETWEEN dCurrentStartDate AND dCurrentEndDate then 1 else 0 end) CaseCreated FROM vw_METADATA WHERE vw_METADATA.CASEENTRCVDDATE <= dCurrentEndDate ORDER BY vw_METADATA.CREATIONTIME, vw_METADATA.CASESTATUS; END SP90_INVENTORYDATA_ALL; And the package: CREATE OR REPLACE PACKAGE inv_data_all_pkg AS TYPE inv_data_all_type IS REF CURSOR RETURN inv_data_all_temp%ROWTYPE; END inv_data_all_pkg;

    Read the article

  • Hadoop: Iterative MapReduce Performance

    - by S.N
    Is it correct to say that the parallel computation with iterative MapReduce can be justified only when the training data size is too large for the non-parallel computation for the same logic? I am aware that the there is overhead for starting MapReduce jobs. This can be critical for overall execution time when a large number of iterations is required. I can imagine that the sequential computation is faster than the parallel computation with iterative MapReduce as long as the memory allows to hold a data set in many cases. Is it the only benefit to use the iterative MapReduce? If not, what are the other benefits could be?

    Read the article

  • performance problem looping through table rows

    - by Sridhar
    Hi, I am using jquery to loop through table rows and save the data. If the table has 200 rows it is performing slow. I am getting the javascript message "Stop Running this script" in IE when I call this method. Following is the code I am using to loop through table rows. Can you please let me know if there is a better way to do this. function SaveData() { var $table = $('#' + gridid); var rows = $table.find('tbody > tr').get(); var transactions = []; var $row, empno, newTransaction, $rowChildren; $.each(rows, function(index, row) { $row = $(row); $rowChildren = $row.children("td"); if ($rowChildren.find("input[id*=hRV]").val() === '1') { empno = $rowChildren.find("input[id*=tEmpno]").val(); newTransaction = new Array(); newTransaction[0] = company; newTransaction[1] = $rowChildren.find("input[id*=tEmpno]").val(); newTransaction[2] = $rowChildren.find("input[id*=tPC]").val(); newTransaction[3] = $rowChildren.find("input[id*=hQty]").val(); newTransaction[4] = $rowChildren.find("input[id*=hPR]").val(); newTransaction[5] = $rowChildren.find("input[id*=tJC]").val(); newTransaction[6] = $rowChildren.find("input[id*=tL1]").val(); newTransaction[7] = $rowChildren.find("input[id*=tL2]").val(); newTransaction[8] = $rowChildren.find("input[id*=tL3]").val(); newTransaction[9] = $rowChildren.find("input[id*=tL4]").val(); newTransaction[10] = $rowChildren.find("input[id*=tL5]").val(); newTransaction[11] = $rowChildren.find("input[id*=tL6]").val(); newTransaction[12] = $rowChildren.find("input[id*=tL7]").val(); newTransaction[13] = $rowChildren.find("input[id*=tL8]").val(); newTransaction[14] = $rowChildren.find("input[id*=tL9]").val(); newTransaction[15] = $rowChildren.find("input[id*=tL10]").val(); newTransaction[16] = $rowChildren.find("input[id*=tSF]").val(); newTransaction[17] = $rowChildren.find("input[id*=tCG]").val(); newTransaction[18] = $rowChildren.find("input[id*=tTF]").val(); newTransaction[19] = $rowChildren.find("input[id*=tWK]").val(); newTransaction[20] = $rowChildren.find("input[id*=tAI]").val(); newTransaction[21] = $rowChildren.find("input[id*=tWC]").val(); newTransaction[22] = $rowChildren.find("input[id*=tPI]").val(); newTransaction[23] = "E"; var record = newTransaction.join(';'); transactions.push(record); } }); if (transactions.length > 0) { var strTransactions = transactions.join('|'); //send data to server //here ajax function is called to save data. } }

    Read the article

  • Hierarchical data in Linq - options and performance

    - by Anthony
    I have some hierarchical data - each entry has an id and a (nullable) parent entry id. I want to retrieve all entries in the tree under a given entry. This is in a SQL Server 2005 database. I am querying it with LINQ to SQL in C# 3.5. LINQ to SQL does not support Common Table Expressions directly. My choices are to assemble the data in code with several LINQ queries, or to make a view on the database that surfaces a CTE. Which option (or another option) do you think will perform better when data volumes get large? Is SQL Server 2008's HierarchyId type supported in Linq to SQL?

    Read the article

  • performance issue in a select query from a single table

    - by daedlus
    Hi , I have a table as below dbo.UserLogs ------------------------------------- Id | UserId |Date | Name| P1 | Dirty ------------------------------------- There can be several records per userId[even in millions] I have clustered index on Date column and query this table very frequently in time ranges. The column 'Dirty' is non-nullable and can take either 0 or 1 only so I have no indexes on 'Dirty' I have several millions of records in this table and in one particular case in my application i need to query this table to get all UserId that have at least one record that is marked dirty. I tried this query - select distinct(UserId) from UserLogs where Dirty=1 I have 10 million records in total and this takes like 10min to run and i want this to run much faster than this. [i am able to query this table on date column in less than a minute.] Any comments/suggestion are welcome. my env 64bit,sybase15.0.3,Linux

    Read the article

  • Lucene.NET performance

    - by Paul Knopf
    I have a website that runs of a third party search provider that is expensive. I am going to roll my own. Is Lucene.NET capable of ~25,000 products (or documents), each with maybe ten attributes used for filtering? I am looking to do a "narrow/drill down" or "faceted search". Does that sound like to much to ask from Lucene.NET?

    Read the article

< Previous Page | 143 144 145 146 147 148 149 150 151 152 153 154  | Next Page >