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  • Network throughput issue (ARP-related)

    - by Joel Coel
    The small college where I work is having some very strange network issues. I'm looking for any advice or ideas here. We were fine over the summer, but the trouble began few days after students returned to campus in force for the fall term. Symptoms The main symptom is that internet access will work, but it's very slow... often to the point of timeouts. As an example, a typical result from Speedtest.net will return .4Mbps download, but allow 3 to 8 Mbps upload speed. Lesser symptoms may include severely limited performance transferring data to and from our file server, or even in some cases the inability to log in to the computer (cannot reach the domain controller). The issue crosses multiple vlans, and has effected devices on nearly every vlan we operate. The issue does not impact all machines on the network. An unaffected machine will typically see at least 11Mbps download from speedtest.net, and perhaps much more depending on larger campus traffic patterns at the time. There is one variation on the larger issue. We have one vlan where users were unable to log into nearly all of the machines at all. IT staff would log in using a local administrator account (or in some cases cached credentials), and from there a release/renew or pinging the gateway would allow the machine to work... for a while. Complicating this issue is that this vlan covers our computer labs, which use software called Deep Freeze to completely reset the hard drives after a reboot. It could just the same issue manifesting differently because of stale data on machines that have not permanently altered low-level info for weeks. We were able to solve this, however, by creating a new vlan and moving the labs over to the new vlan wholesale. Instigations Eventually we noticed that the effected machines all had recent dhcp leases. We can predict when a machine will become "slow" by watching when a dhcp lease comes up for renewal. We played with setting the lease time very short for a test vlan, but all that did was remove our ability to predict when the machine would become slow. Machines with static IPs have pretty much always worked normally. Manually releasing/renewing an address will never cause a machine to become slow. In fact, in some cases this process has fixed a machine in that state. Most of the time, though, it doesn't help. We also noticed that mobile machines like laptops are likely to become slow when they cross to new vlans. Wireless on campus is divided up into "zones", where each zone maps to a small set of buildings. Moving to a new building can place you in a zone, thereby causing you to get a new address. A machine resuming from sleep mode is also very likely to be slow. Mitigations Sometimes, but not always, clearing the arp cache on an effected machine will allow it to work normally again. As already mentioned, releasing/renewing a local machine's IP address can fix that machine, but it's not guaranteed. Pinging the default gateway can also sometimes help with a slow machine. What seems to help most to mitigate the issue is clearing the arp cache on our core layer-3 switch. This switch is used for our dhcp system as the default gateway on all vlans, and it handles inter-vlan routing. The model is a 3Com 4900SX. To try to mitigate the issue, we have the cache timeout set on the switch all the way down to the lowest possible time, but it hasn't helped. I also put together a script that runs every few minutes to automatically connect to the switch and reset the cache. Unfortunately, this does not always work, and can even cause some machines to end up in the slow state for a short time (though these seem to correct themselves after a few minutes). We currently have a scheduled job that runs every 10 minutes to force the core switch to clear it's ARP cache, but this is far from perfect or desirable. Reproduction We now have a test machine that we can force into the slow state at will. It is connected to a switch with ports set up for each of our vlans. We make the machine slow by connecting to different vlans, and after a new connection or two it will be slow. It's also worth noting in this section that this has happened before at the start of prior terms, but in the past the problem has gone away on it's own after a few days. It solved itself before we had a chance to do much diagnostic work... hence why we've allowed it to drag so long into the term this time 'round; the expectation was this would be a short-lived situation. Other Factors It's worth mentioning that we have had about half a dozen switches just outright fail over the last year. These are mainly 2003/2004-era 3Coms (mostly 4200's) that were all put in at about the same time. They should still be covered under warranty, buy HP has made getting service somewhat difficult. Mostly in power supplies that have failed, but in a couple cases we have used a power supply from a switch with a failed mainboard to bring a switch with a failed power supply back to life. We do have UPS devices on all but three of four switches now, but that was not the case when I started two and a half years ago. Severe budget constraints (we were on the Dept. of Ed's financially challenged institutions list a couple years back) have forced me to look to the likes of Netgear and TrendNet for replacements, but so far these low-end models seem to be holding their own. It's also worth mentioning that the big change on our network this summer was migrating from a single cross-campus wireless SSID to the zoned approach mentioned earlier. I don't think this is the source of the issue, as like I've said: we've seen this before. However, it's possible this is exacerbating the issue, and may be much of the reason it's been so hard to isolate. Diagnosis At first it seemed clear to us, given the timing and persistent nature of the problem, that the source of the issue was an infected (or malicious) student machine doing ARP cache poisoning. However, repeated attempts to isolate the source have failed. Those attempts include numerous wireshark packet traces, and even taking entire buildings offline for brief periods. We have not been able even to find a smoking gun bad ARP entry. My current best guess is an overloaded or failing core switch, but I'm not sure on how to test for this, and the cost of replacing it blindly is steep. Again, any ideas appreciated.

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  • VS2012 Launch Event &ndash; Combating Bugs And Poor Performance In Production

    - by Tarun Arora
    I presented a session “A techies guide to combating bugs & poor performance in production” at the Microsoft IT Visual Studio Launch event.  The key message was to demonstrate what common production issues (non-reproducible bugs and poor performance) techie’s run into and how the tooling in Visual Studio can help you efficiently tackle these issues. Remember, a Techie without efficient tools is only half the good!                                                       A techies guide to combating bugs & poor performance in production from Avanade Enjoy!

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  • Increase Availability for Data Center Virtual Environments

    - by Antoinette O'Sullivan
    With Oracle VM, you can increase availability and add flexibility for data center virtual environments. To get started, take training on Oracle VM Server for x86 and Oracle VM Server for SPARC as appropriate for your systems. You can take these live instructor-led courses from your own desk as a live-virtual event or travel to an education center for an in-class event. The Oracle VM Administration: Oracle VM Server for x86 course, in 3 days, teaches you about creating NFS and iSCI repositories, migration, cloning and exercising high availabillity. In-class events already on the schedule include:  Location  Date  Delivery Language  Zagreb, Croatia  11 November 2013  Croatian  Prague, Czech Republic  21 October 2013  Czech  Ballerup, Denmark  26 August 2013  English  Bordeaux, France  18 September 2013  French  Paris, France  9 October 2013  French  Strasbourg, France  11 September 2013  French  Hamburg, Germany  30 Septemeber 2013  German  Munich, Germany  28 October 2013  German  Budapest, Hungary  9 September 2013  Hungarian  Riga, Latvia  30 September 2013  Latvian  Oslo, Norway  16 September 2013  English  Warsaw, Poland  28 October 2013  Polish  Bucharest, Romania  14 October 2013  English  Istanbul, Turkey  23 December 2013  Turkish  Indonesia, Jakarta  19 August 2013  English  Canberra, Australia  4 November 2013  English  Melbourne, Australia  6 November 2013  English  Sydney, Australia  25 November 2013  English  San Francisco, CA, United States  16 September 2013  English  Roseville, MN, United States  21 October 2013  English  St Louis, MO, United States  11 November 2013  English  Reston, VA, United States  31 July 2013  English  Buenos Aires, Argentina  21 August 2013  Spanish The Oracle VM Server for SPARC: Installation and Configuration course, in 2 days, teaches you about configuring control and service domains, creating guest domains, using virtual disks and networks, and migration. In-class events already on the schedule include:  Location  Date  Delivery Language  Budapest, Hungary  12 September 2013  Hungarian  Prague, Czech Republic  9 September 2013  Czech  Colombes, France  7 October 2013  French  Stuttgart, Germany  28 October 2013  German  Madrid, Spain  5 September 2013  Spanish  Istanbul, Turkey 30 September 2013  Turkish   Petaling Jaya, Malaysia 15 August 2013  English   Singapore 5 August 2013  English   Cnaberra, Australia  12 August 2013 English  Melbourne, Australia  30 October 2013 English  Sydney, Australia  26 August 2013 English To register for a course or to learn more about Oracle's virtualization curriculum, go to http://education.oracle.com/virtualization.

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  • [EF + Oracle] Inserting Data (Sequences) (2/2)

    - by JTorrecilla
    Prologue In the previous chapter we have see how to create DB records with EF, now we are going to Some Questions about Oracle.   ORACLE One characteristic from SQL Server that differs from Oracle is “Identity”. To all that has not worked with SQL Server, this property, that applies to Integer Columns, lets indicate that there is auto increment columns, by that way it will be filled automatically, without writing it on the insert statement. In EF with SQL Server, the properties whose match with Identity columns, will be filled after invoking SaveChanges method. In Oracle DB, there is no Identity Property, but there is something similar. Sequences Sequences are DB objects, that allow to create auto increment, but there are not related directly to a Table. The syntax is as follows: name, min value, max value and begin value. 1: CREATE SEQUENCE nombre_secuencia 2: INCREMENT BY numero_incremento 3: START WITH numero_por_el_que_empezara 4: MAXVALUE valor_maximo | NOMAXVALUE 5: MINVALUE valor_minimo | NOMINVALUE 6: CYCLE | NOCYCLE 7: ORDER | NOORDER 8:    How to get sequence value? To obtain the next val from the sequence: 1: SELECT nb_secuencia.Nextval 2: From Dual Due to there is no direct way to indicate that a column is related to a sequence, there is several ways to imitate the behavior: Use a Trigger (DB), Use Stored Procedures or Functions(…) or my particularly option. EF model, only, imports Table Objects, Stored Procedures or Functions, but not sequences. By that, I decide to create my own extension Method to invoke Next Val from a sequence: 1: public static class EFSequence 2: { 3: public static int GetNextValue(this ObjectContext contexto, string SequenceName) 4: { 5: string Connection = ConfigurationManager.ConnectionStrings["JTorrecillaEntities2"].ConnectionString; 6: Connection=Connection.Substring(Connection.IndexOf(@"connection string=")+19); 7: Connection = Connection.Remove(Connection.Length - 1, 1); 8: using (IDbConnection con = new Oracle.DataAccess.Client.OracleConnection(Connection)) 9: { 10: using (IDbCommand cmd = con.CreateCommand()) 11: { 12: con.Open(); 13: cmd.CommandText = String.Format("Select {0}.nextval from DUAL", SequenceName); 14: return Convert.ToInt32(cmd.ExecuteScalar()); 15: } 16: } 17:  18: } 19: } This Object Context’s extension method are going to invoke a query with the Sequence indicated by parameter. It takes the connection strings from the App settings, removing the meta data, that was created by VS when generated the EF model. And then, returns the next value from the Sequence. The next value of a Sequence is unique, by that, when some concurrent users are going to create records in the DB using the sequence will not get duplicates. This is my own implementation, I know that it could be several ways to do and better ways. If I find any other way, I promise to post it. To use the example is needed to add a reference to the Oracle (ODP.NET) dll.

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  • IOUG Enterprise Manager SIG Webinar: WEBINAR: Performance Tuning your Database Cloud in Oracle Enterprise Manager 12c Cloud Control - 360 Degrees

    - by Patrick Rood
    October 25, 2013 EM 12c Sales Blast | IOUG Enterprise Manager SIG WEBINAR: Performance Tuning your Database Cloud in Oracle Enterprise Manager 12c Cloud Control - 360 Degrees Last year, the Independent Oracle User Group (IOUG) established a fast-growing Special Interest Group (SIG) devoted to Enterprise Manager, and has sponsored Quarterly Newsletters and Webinars about EM. To drive more interest in EM and the SIG, IOUG would like Oracle to invite customers to its latest techcast. Your customers will learn how to leverage Oracle Enterprise Manager 12c for tuning, trouble-shooting and monitoring their Oracle Database Cloud Ecosystem. The session covers lessons learned, tips/tricks, recommendations, best practices, "gotchas" and a whole lot more on how to effectively use Oracle Enterprise Manager 12c Cloud Control for quick, easy and intuitive performance tuning of an Oracle Database Cloud. Session Objectives: • Leveraging Enterprise Manager 12c Cloud Control for Oracle Database Tuning/Monitoring • Limited Deep-Dive on Automatic Workload Repository (AWR) • Oracle Database Cloud Performance Tuning • Best Practices for Database Cloud Maintenance and Monitoring Featured Speaker: Tariq Farooq, CEO, BrainSurface and Mike Ault Date & Time: Wednesday, October 30 12:00 PM- 1:00 PM Central Time (USA) Register Here 

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  • How optimize code with introspection + heavy alloc on iPhone

    - by mamcx
    I have a problem. I try to display a UITable that could have 2000-20000 records (typicall numbers.) I have a SQLite database similar to the Apple contacts application. I do all the tricks I know to get a smoth scroll, but I have a problem. I load the data in 50 recods blocks. Then, when the user scroll, request next 50 until finish the list. However, load that 50 records cause a notable "pause" in loading and scrolling. Everything else works fine. I cache the data, have opaque cells, draw it by code, etc... I swap the code loading the same data in dicts and have a performance boost but wonder if I could keep my object oriented aproach and improve the actual code. This is the code I think have the performance problem: -(NSArray *) loadAndFill: (NSString *)sql theClass: (Class)cls { [self openDb]; NSMutableArray *list = [NSMutableArray array]; NSAutoreleasePool *pool = [[NSAutoreleasePool alloc] init]; DbObject *ds; Class myClass = NSClassFromString([DbObject getTableName:cls]); FMResultSet *rs = [self load:sql]; while ([rs next]) { ds = [[myClass alloc] init]; NSDictionary *props = [ds properties]; NSString *fieldType = nil; id fieldValue; for (NSString *fieldName in [props allKeys]) { fieldType = [props objectForKey: fieldName]; fieldValue = [self ValueForField:rs Name:fieldName Type:fieldType]; [ds setValue:fieldValue forKey:fieldName]; } [list addObject :ds]; [ds release]; } [rs close]; [pool drain]; return list; } And I think the main culprit is: -(id) ValueForField: (FMResultSet *)rs Name:(NSString *)fieldName Type:(NSString *)fieldType { id fieldValue = nil; if ([fieldType isEqualToString:@"i"] || // int [fieldType isEqualToString:@"I"] || // unsigned int [fieldType isEqualToString:@"s"] || // short [fieldType isEqualToString:@"S"] || // unsigned short [fieldType isEqualToString:@"f"] || // float [fieldType isEqualToString:@"d"] ) // double { fieldValue = [NSNumber numberWithInt: [rs longForColumn:fieldName]]; } else if ([fieldType isEqualToString:@"B"]) // bool or _Bool { fieldValue = [NSNumber numberWithBool: [rs boolForColumn:fieldName]]; } else if ([fieldType isEqualToString:@"l"] || // long [fieldType isEqualToString:@"L"] || // usigned long [fieldType isEqualToString:@"q"] || // long long [fieldType isEqualToString:@"Q"] ) // unsigned long long { fieldValue = [NSNumber numberWithLong: [rs longForColumn:fieldName]]; } else if ([fieldType isEqualToString:@"c"] || // char [fieldType isEqualToString:@"C"] ) // unsigned char { fieldValue = [rs stringForColumn:fieldName]; //Is really a boolean? if ([fieldValue isEqualToString:@"0"] || [fieldValue isEqualToString:@"1"]) { fieldValue = [NSNumber numberWithInt: [fieldValue intValue]]; } } else if ([fieldType hasPrefix:@"@"] ) // Object { NSString *className = [fieldType substringWithRange:NSMakeRange(2, [fieldType length]-3)]; if ([className isEqualToString:@"NSString"]) { fieldValue = [rs stringForColumn:fieldName]; } else if ([className isEqualToString:@"NSDate"]) { NSDateFormatter* dateFormatter = [[NSDateFormatter alloc] init]; [dateFormatter setDateFormat:@"yyyy-MM-dd'T'HH:mm:ss"]; NSString *theDate = [rs stringForColumn:fieldName]; if (theDate) { fieldValue = [dateFormatter dateFromString: theDate]; } else { fieldValue = nil; } [dateFormatter release]; } else if ([className isEqualToString:@"NSInteger"]) { fieldValue = [NSNumber numberWithInt: [rs intForColumn :fieldName]]; } else if ([className isEqualToString:@"NSDecimalNumber"]) { fieldValue = [rs stringForColumn :fieldName]; if (fieldValue) { fieldValue = [NSDecimalNumber decimalNumberWithString:[rs stringForColumn :fieldName]]; } } else if ([className isEqualToString:@"NSNumber"]) { fieldValue = [NSNumber numberWithDouble: [rs doubleForColumn:fieldName]]; } else { //Is a relationship one-to-one? if (![fieldType hasPrefix:@"NS"]) { id rel = class_createInstance(NSClassFromString(className), sizeof(unsigned)); Class theClass = [rel class]; if ([rel isKindOfClass:[DbObject class]]) { fieldValue = [rel init]; //Load the record... NSInteger Id = [rs intForColumn:[theClass relationName]]; if (Id>0) { [fieldValue release]; Db *db = [Db currentDb]; fieldValue = [db loadById: theClass theId:Id]; } } } else { NSString *error = [NSString stringWithFormat:@"Err Can't get value for field %@ of type %@", fieldName, fieldType]; NSLog(error); NSException *e = [NSException exceptionWithName:@"DBError" reason:error userInfo:nil]; @throw e; } } } return fieldValue; }

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  • Page_load event firing twice. User control not properly loading

    - by Phil
    Here is the code I am using to pull my usercontrol (content.ascx): Protected Sub Page_Load(ByVal sender As Object, ByVal e As System.EventArgs) Handles Me.Load 'load module If TheModule = "content" Then Dim control As UserControl = LoadControl("~\Modules\Content.ascx") Controls.Add(control) End If End Sub Within the usercontrol is the following code (data access taken care of by DAAB and ive replaced sql statements with 'sql'): Imports System.Data.SqlClient Imports System.Data Imports System.Web.Configuration Imports Microsoft.Practices.EnterpriseLibrary.Common Imports Microsoft.Practices.EnterpriseLibrary.Data Partial Class Modules_WebUserControl Inherits System.Web.UI.UserControl Dim db As Database = DatabaseFactory.CreateDatabase() Dim command As SqlCommand 'database Dim reader As IDataReader 'general vars Dim pageid As Integer Dim did As Integer Dim contentid As Integer Dim dotpos As String Dim ext As String Dim content As String Dim folder As String Dim downloadstring As String Function getimage(ByVal strin As String) As String If strin > "" Then dotpos = InStrRev(strin, ".") ext = Right(strin, Len(strin) - dotpos) getimage = ext & ".gif" Else getimage = String.Empty End If Return getimage End Function Protected Sub Page_Load(ByVal sender As Object, ByVal e As System.EventArgs) Handles MyBase.Load, Me.Load 'test Response.Write("(1 Test from within page_load)") 'get session vars folder = Session("folder") pageid = Session("pageid") did = Session("did") 'main content command = db.GetSqlStringCommand("sql") db.AddInParameter(command, "@pageid", DbType.Int32, pageid) reader = db.ExecuteReader(command) While reader.Read If reader("content") IsNot DBNull.Value Then content = Replace(reader("content"), Chr(38) + Chr(97) + Chr(109) + Chr(112) + Chr(59) + Chr(98) + Chr(104) + Chr(99) + Chr(112) + Chr(61) + Chr(49), "") If reader("id") IsNot DBNull.Value Then contentid = reader("id") End If Else contentid = -1 content = String.Empty End If End While Outputcontent.Text = content 'contacts info If did = 0 Then command = db.GetSqlStringCommand("sql") db.AddInParameter(command, "@contentid", DbType.Int32, contentid) reader = db.ExecuteReader(command) While reader.Read() Contactinforepeater.DataSource = reader Contactinforepeater.DataBind() End While End If If Not did = 0 Then command = (db.GetSqlStringCommand("sql") db.AddInParameter(command, "@contentid", DbType.Int32, contentid) db.AddInParameter(command, "@did", DbType.Int32, did) reader = db.ExecuteReader(command) While reader.Read Contactinforepeater.DataSource = reader Contactinforepeater.DataBind() End While End If 'downloads box command = db.GetSqlStringCommand("sql") db.AddInParameter(command, "@contentid", DbType.Int32, contentid) reader = db.ExecuteReader(command) While reader.Read If reader("filename") IsNot DBNull.Value Then downloadstring += "<a href='/documents/" & folder & "/" & reader("filename") & "'>" downloadstring += "<img src=images/" & getimage(reader("filename")) & " border=0 align=absmiddle />" End If If reader("filesize") IsNot DBNull.Value Then downloadstring += Convert.ToInt32((reader("filesize") / 1000)) & "kb - " End If If reader("filename") IsNot DBNull.Value Then downloadstring += "<a href='/documents/" & Session("folder") & "/" & reader("filename") & "'>" & reader("description") & "</a><br />" End If End While Dim downloadsarray As ArrayList downloadsarray = New ArrayList If downloadstring IsNot Nothing Then downloadsarray.Add(downloadstring) End If If downloadsarray.Count > 0 Then DownloadsRepeater.DataSource = downloadsarray DownloadsRepeater.DataBind() End If 'get links command = db.GetSqlStringCommand("sql") db.AddInParameter(command, "@contentid", DbType.Int32, contentid) reader = db.ExecuteReader(command) While reader.Read Linksrepeater.DataSource = reader Linksrepeater.DataBind() End While End Sub End Class Now instead of seeing my page content and what should be within the repeaters on the page all I get is 2 x the output of Response.Write("(1 Test from within page_load)") (1 Test from within page_load)(1 Test from within page_load) This leads me to believe the page_load is firing twice, but not properly displaying all the information. Please can one of you willing experts help me to get this working? Thanks a lot in advance

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  • How to tune down the Hyperic built-in postgresql database for a small setup

    - by Svish
    We are testing out Hyperic 4.5.1 in a quite small environment for now. Currently there are just 1-5 agents and there probably won't be any more than 10-15. When I run ps ax there are 20(!) postgres processes running. For a small setup like this, that can't be necessary, can it? I'm a software developer and don't have much experience with setting up servers and such though, so don't really know. Either way, what settings are appropriate for a small Hyperic setup like this? Current, default and untouched configuration file, hqdb/data/postgresql.conf: # ----------------------------- # PostgreSQL configuration file # ----------------------------- # # This file consists of lines of the form: # # name = value # # (The '=' is optional.) White space may be used. Comments are introduced # with '#' anywhere on a line. The complete list of option names and # allowed values can be found in the PostgreSQL documentation. The # commented-out settings shown in this file represent the default values. # # Please note that re-commenting a setting is NOT sufficient to revert it # to the default value, unless you restart the server. # # Any option can also be given as a command line switch to the server, # e.g., 'postgres -c log_connections=on'. Some options can be changed at # run-time with the 'SET' SQL command. # # This file is read on server startup and when the server receives a # SIGHUP. If you edit the file on a running system, you have to SIGHUP the # server for the changes to take effect, or use "pg_ctl reload". Some # settings, which are marked below, require a server shutdown and restart # to take effect. # # Memory units: kB = kilobytes MB = megabytes GB = gigabytes # Time units: ms = milliseconds s = seconds min = minutes h = hours d = days #--------------------------------------------------------------------------- # FILE LOCATIONS #--------------------------------------------------------------------------- # The default values of these variables are driven from the -D command line # switch or PGDATA environment variable, represented here as ConfigDir. #data_directory = 'ConfigDir' # use data in another directory # (change requires restart) #hba_file = 'ConfigDir/pg_hba.conf' # host-based authentication file # (change requires restart) #ident_file = 'ConfigDir/pg_ident.conf' # ident configuration file # (change requires restart) # If external_pid_file is not explicitly set, no extra PID file is written. #external_pid_file = '(none)' # write an extra PID file # (change requires restart) #--------------------------------------------------------------------------- # CONNECTIONS AND AUTHENTICATION #--------------------------------------------------------------------------- # - Connection Settings - #listen_addresses = 'localhost' # what IP address(es) to listen on; # comma-separated list of addresses; # defaults to 'localhost', '*' = all # (change requires restart) port = 9432 # (change requires restart) max_connections = 100 # (change requires restart) # Note: increasing max_connections costs ~400 bytes of shared memory per # connection slot, plus lock space (see max_locks_per_transaction). You # might also need to raise shared_buffers to support more connections. #superuser_reserved_connections = 3 # (change requires restart) #unix_socket_directory = '' # (change requires restart) #unix_socket_group = '' # (change requires restart) #unix_socket_permissions = 0777 # octal # (change requires restart) #bonjour_name = '' # defaults to the computer name # (change requires restart) # - Security & Authentication - #authentication_timeout = 1min # 1s-600s #ssl = off # (change requires restart) #password_encryption = on #db_user_namespace = off # Kerberos #krb_server_keyfile = '' # (change requires restart) #krb_srvname = 'postgres' # (change requires restart) #krb_server_hostname = '' # empty string matches any keytab entry # (change requires restart) #krb_caseins_users = off # (change requires restart) # - TCP Keepalives - # see 'man 7 tcp' for details #tcp_keepalives_idle = 0 # TCP_KEEPIDLE, in seconds; # 0 selects the system default #tcp_keepalives_interval = 0 # TCP_KEEPINTVL, in seconds; # 0 selects the system default #tcp_keepalives_count = 0 # TCP_KEEPCNT; # 0 selects the system default #--------------------------------------------------------------------------- # RESOURCE USAGE (except WAL) #--------------------------------------------------------------------------- # - Memory - shared_buffers = 64MB # min 128kB or max_connections*16kB # (change requires restart) #temp_buffers = 8MB # min 800kB #max_prepared_transactions = 5 # can be 0 or more # (change requires restart) # Note: increasing max_prepared_transactions costs ~600 bytes of shared memory # per transaction slot, plus lock space (see max_locks_per_transaction). work_mem = 2MB # min 64kB maintenance_work_mem = 32MB # min 1MB #max_stack_depth = 2MB # min 100kB # - Free Space Map - max_fsm_pages = 204800 # min max_fsm_relations*16, 6 bytes each # (change requires restart) #max_fsm_relations = 1000 # min 100, ~70 bytes each # (change requires restart) # - Kernel Resource Usage - #max_files_per_process = 1000 # min 25 # (change requires restart) #shared_preload_libraries = '' # (change requires restart) # - Cost-Based Vacuum Delay - #vacuum_cost_delay = 0 # 0-1000 milliseconds #vacuum_cost_page_hit = 1 # 0-10000 credits #vacuum_cost_page_miss = 10 # 0-10000 credits #vacuum_cost_page_dirty = 20 # 0-10000 credits #vacuum_cost_limit = 200 # 0-10000 credits # - Background writer - #bgwriter_delay = 200ms # 10-10000ms between rounds #bgwriter_lru_percent = 1.0 # 0-100% of LRU buffers scanned/round #bgwriter_lru_maxpages = 5 # 0-1000 buffers max written/round #bgwriter_all_percent = 0.333 # 0-100% of all buffers scanned/round #bgwriter_all_maxpages = 5 # 0-1000 buffers max written/round #--------------------------------------------------------------------------- # WRITE AHEAD LOG #--------------------------------------------------------------------------- # - Settings - fsync = on # turns forced synchronization on or off #wal_sync_method = fsync # the default is the first option # supported by the operating system: # open_datasync # fdatasync # fsync # fsync_writethrough # open_sync #full_page_writes = on # recover from partial page writes #wal_buffers = 64kB # min 32kB # (change requires restart) commit_delay = 100000 # range 0-100000, in microseconds #commit_siblings = 5 # range 1-1000 # - Checkpoints - checkpoint_segments = 10 # in logfile segments, min 1, 16MB each #checkpoint_timeout = 5min # range 30s-1h #checkpoint_warning = 30s # 0 is off # - Archiving - #archive_command = '' # command to use to archive a logfile segment #archive_timeout = 0 # force a logfile segment switch after this # many seconds; 0 is off #--------------------------------------------------------------------------- # QUERY TUNING #--------------------------------------------------------------------------- # - Planner Method Configuration - #enable_bitmapscan = on #enable_hashagg = on #enable_hashjoin = on #enable_indexscan = on #enable_mergejoin = on #enable_nestloop = on #enable_seqscan = on #enable_sort = on #enable_tidscan = on # - Planner Cost Constants - #seq_page_cost = 1.0 # measured on an arbitrary scale #random_page_cost = 4.0 # same scale as above #cpu_tuple_cost = 0.01 # same scale as above #cpu_index_tuple_cost = 0.005 # same scale as above #cpu_operator_cost = 0.0025 # same scale as above #effective_cache_size = 128MB # - Genetic Query Optimizer - #geqo = on #geqo_threshold = 12 #geqo_effort = 5 # range 1-10 #geqo_pool_size = 0 # selects default based on effort #geqo_generations = 0 # selects default based on effort #geqo_selection_bias = 2.0 # range 1.5-2.0 # - Other Planner Options - #default_statistics_target = 10 # range 1-1000 #constraint_exclusion = off #from_collapse_limit = 8 #join_collapse_limit = 8 # 1 disables collapsing of explicit # JOINs #--------------------------------------------------------------------------- # ERROR REPORTING AND LOGGING #--------------------------------------------------------------------------- # - Where to Log - log_destination = 'stderr' # Valid values are combinations of # stderr, syslog and eventlog, # depending on platform. # This is used when logging to stderr: redirect_stderr = on # Enable capturing of stderr into log # files # (change requires restart) # These are only used if redirect_stderr is on: log_directory = '../../logs' # Directory where log files are written # Can be absolute or relative to PGDATA log_filename = 'hqdb-%Y-%m-%d.log' # Log file name pattern. # Can include strftime() escapes #log_truncate_on_rotation = off # If on, any existing log file of the same # name as the new log file will be # truncated rather than appended to. But # such truncation only occurs on # time-driven rotation, not on restarts # or size-driven rotation. Default is # off, meaning append to existing files # in all cases. log_rotation_age = 1d # Automatic rotation of logfiles will # happen after that time. 0 to # disable. #log_rotation_size = 10MB # Automatic rotation of logfiles will # happen after that much log # output. 0 to disable. # These are relevant when logging to syslog: #syslog_facility = 'LOCAL0' #syslog_ident = 'postgres' # - When to Log - #client_min_messages = notice # Values, in order of decreasing detail: # debug5 # debug4 # debug3 # debug2 # debug1 # log # notice # warning # error #log_min_messages = notice # Values, in order of decreasing detail: # debug5 # debug4 # debug3 # debug2 # debug1 # info # notice # warning # error # log # fatal # panic #log_error_verbosity = default # terse, default, or verbose messages #log_min_error_statement = error # Values in order of increasing severity: # debug5 # debug4 # debug3 # debug2 # debug1 # info # notice # warning # error # fatal # panic (effectively off) log_min_duration_statement = 10000 # -1 is disabled, 0 logs all statements # and their durations. #silent_mode = off # DO NOT USE without syslog or # redirect_stderr # (change requires restart) # - What to Log - #debug_print_parse = off #debug_print_rewritten = off #debug_print_plan = off #debug_pretty_print = off #log_connections = off #log_disconnections = off #log_duration = off #log_line_prefix = '' # Special values: # %u = user name # %d = database name # %r = remote host and port # %h = remote host # %p = PID # %t = timestamp (no milliseconds) # %m = timestamp with milliseconds # %i = command tag # %c = session id # %l = session line number # %s = session start timestamp # %x = transaction id # %q = stop here in non-session # processes # %% = '%' # e.g. '<%u%%%d> ' #log_statement = 'none' # none, ddl, mod, all #log_hostname = off #--------------------------------------------------------------------------- # RUNTIME STATISTICS #--------------------------------------------------------------------------- # - Query/Index Statistics Collector - #stats_command_string = on #update_process_title = on stats_start_collector = on # needed for block or row stats # (change requires restart) stats_block_level = on stats_row_level = on stats_reset_on_server_start = off # (change requires restart) # - Statistics Monitoring - #log_parser_stats = off #log_planner_stats = off #log_executor_stats = off #log_statement_stats = off #--------------------------------------------------------------------------- # AUTOVACUUM PARAMETERS #--------------------------------------------------------------------------- #autovacuum = off # enable autovacuum subprocess? # 'on' requires stats_start_collector # and stats_row_level to also be on #autovacuum_naptime = 1min # time between autovacuum runs #autovacuum_vacuum_threshold = 500 # min # of tuple updates before # vacuum #autovacuum_analyze_threshold = 250 # min # of tuple updates before # analyze #autovacuum_vacuum_scale_factor = 0.2 # fraction of rel size before # vacuum #autovacuum_analyze_scale_factor = 0.1 # fraction of rel size before # analyze #autovacuum_freeze_max_age = 200000000 # maximum XID age before forced vacuum # (change requires restart) #autovacuum_vacuum_cost_delay = -1 # default vacuum cost delay for # autovacuum, -1 means use # vacuum_cost_delay #autovacuum_vacuum_cost_limit = -1 # default vacuum cost limit for # autovacuum, -1 means use # vacuum_cost_limit #--------------------------------------------------------------------------- # CLIENT CONNECTION DEFAULTS #--------------------------------------------------------------------------- # - Statement Behavior - #search_path = '"$user",public' # schema names #default_tablespace = '' # a tablespace name, '' uses # the default #check_function_bodies = on #default_transaction_isolation = 'read committed' #default_transaction_read_only = off #statement_timeout = 0 # 0 is disabled #vacuum_freeze_min_age = 100000000 # - Locale and Formatting - datestyle = 'iso, mdy' #timezone = unknown # actually, defaults to TZ # environment setting #timezone_abbreviations = 'Default' # select the set of available timezone # abbreviations. Currently, there are # Default # Australia # India # However you can also create your own # file in share/timezonesets/. #extra_float_digits = 0 # min -15, max 2 #client_encoding = sql_ascii # actually, defaults to database # encoding # These settings are initialized by initdb -- they might be changed lc_messages = 'C' # locale for system error message # strings lc_monetary = 'C' # locale for monetary formatting lc_numeric = 'C' # locale for number formatting lc_time = 'C' # locale for time formatting # - Other Defaults - #explain_pretty_print = on #dynamic_library_path = '$libdir' #local_preload_libraries = '' #--------------------------------------------------------------------------- # LOCK MANAGEMENT #--------------------------------------------------------------------------- #deadlock_timeout = 1s #max_locks_per_transaction = 64 # min 10 # (change requires restart) # Note: each lock table slot uses ~270 bytes of shared memory, and there are # max_locks_per_transaction * (max_connections + max_prepared_transactions) # lock table slots. #--------------------------------------------------------------------------- # VERSION/PLATFORM COMPATIBILITY #--------------------------------------------------------------------------- # - Previous Postgres Versions - #add_missing_from = off #array_nulls = on #backslash_quote = safe_encoding # on, off, or safe_encoding #default_with_oids = off #escape_string_warning = on #standard_conforming_strings = off #regex_flavor = advanced # advanced, extended, or basic #sql_inheritance = on # - Other Platforms & Clients - #transform_null_equals = off #--------------------------------------------------------------------------- # CUSTOMIZED OPTIONS #--------------------------------------------------------------------------- #custom_variable_classes = '' # list of custom variable class names SELECT * FROM pg_stat_activity; datid | datname | procpid | usesysid | usename | current_query | waiting | query_start | backend_start | client_addr | client_port -------+---------+---------+----------+---------+---------------------------------+---------+-------------------------------+-------------------------------+-------------+------------- 16384 | hqdb | 3267 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.036781+01 | 2011-02-08 15:51:20.02413+01 | 127.0.0.1 | 47892 16384 | hqdb | 3268 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.050994+01 | 2011-02-08 15:51:20.047393+01 | 127.0.0.1 | 47893 16384 | hqdb | 3269 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.056661+01 | 2011-02-08 15:51:20.053201+01 | 127.0.0.1 | 47894 16384 | hqdb | 3271 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.062351+01 | 2011-02-08 15:51:20.058822+01 | 127.0.0.1 | 47895 16384 | hqdb | 3272 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.068328+01 | 2011-02-08 15:51:20.064517+01 | 127.0.0.1 | 47896 16384 | hqdb | 3273 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.07444+01 | 2011-02-08 15:51:20.070755+01 | 127.0.0.1 | 47897 16384 | hqdb | 3274 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.080941+01 | 2011-02-08 15:51:20.076983+01 | 127.0.0.1 | 47898 16384 | hqdb | 3275 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.08741+01 | 2011-02-08 15:51:20.083697+01 | 127.0.0.1 | 47899 16384 | hqdb | 3276 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:20.093597+01 | 2011-02-08 15:51:20.089977+01 | 127.0.0.1 | 47900 16384 | hqdb | 3277 | 10 | hqadmin | <IDLE> in transaction | f | 2011-02-08 15:51:20.133974+01 | 2011-02-08 15:51:20.096149+01 | 127.0.0.1 | 47901 16384 | hqdb | 3308 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:49:27.402197+01 | 2011-02-08 15:51:29.826321+01 | 127.0.0.1 | 47902 16384 | hqdb | 3309 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.572395+01 | 2011-02-08 15:51:29.865243+01 | 127.0.0.1 | 47903 16384 | hqdb | 3310 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.586273+01 | 2011-02-08 15:51:29.874346+01 | 127.0.0.1 | 47904 16384 | hqdb | 3311 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:10:03.024088+01 | 2011-02-08 15:51:29.883598+01 | 127.0.0.1 | 47905 16384 | hqdb | 3312 | 10 | hqadmin | <IDLE> in transaction | f | 2011-02-08 15:51:35.804457+01 | 2011-02-08 15:51:29.892925+01 | 127.0.0.1 | 47906 16384 | hqdb | 3418 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.580207+01 | 2011-02-08 15:51:55.56911+01 | 127.0.0.1 | 47910 16384 | hqdb | 3419 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.59781+01 | 2011-02-08 15:51:55.588609+01 | 127.0.0.1 | 47911 16384 | hqdb | 3422 | 10 | hqadmin | <IDLE> | f | 2011-02-09 10:10:02.668836+01 | 2011-02-08 15:51:55.603076+01 | 127.0.0.1 | 47914 16384 | hqdb | 3421 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.770427+01 | 2011-02-08 15:51:55.603086+01 | 127.0.0.1 | 47913 16384 | hqdb | 3420 | 10 | hqadmin | <IDLE> | f | 2011-02-08 15:51:55.680785+01 | 2011-02-08 15:51:55.637058+01 | 127.0.0.1 | 47912 16384 | hqdb | 18233 | 10 | hqadmin | SELECT * FROM pg_stat_activity; | f | 2011-02-09 10:49:29.688949+01 | 2011-02-09 10:48:13.031475+01 | | -1 (21 rows)

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  • Zabbix Proxy not collecting data

    - by Jordan Eunson
    I have a working Zabbix 1.8.2 server collecting data for our office and our colo facility. However the link between the colo and office is flaky. What I'm trying to do is setup a proxy on the colo side to have a 1 hour cache and relay the data to our primary server at the office. Our zabbix server is compiled from source and uses a mysql database I've followed the instructions found in the zabbix documentation to compile the proxy using a sqlite3 database. I add the proxy to zabbix under Administration-DM-Proxies. The zabbix server "sees" the proxy because the "last seen" field is always under 60s. However when I assign a colo host to the proxy I stop receiving data from it. The colo host's zabbix_agentd.log file says this: 29343:20100622:124847 Timeout while answering request 29343:20100622:124847 Getting list of active checks failed. Will retry after 60 seconds The zabbix_proxy.log says this. 2041:20100622:123131.760 Deleted 0 records from history [0.000994 seconds] 2028:20100622:124131.671 Error while receiving answer from server [ZBX_TCP_READ() failed I also am unable to receive any SNMP data which is more important to me than the zabbix agent data. Has anyone had this problem before? Zabbix Server OS: CentOS5.4 Zabbix Server Build: 1.8.2 from source Zabbix Proxy OS: CentOS5.4 Zabbix Proxy Build: 1.8.2 from source P.S. The SQLite database on the zabbix proxy never gets any data written to it, it is identical to when I created it from the blank schema in zabbix-1.8.2/create/schema. (Yes I've checked the permissions)

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  • Cacti not working for SNMP data sources

    - by lorenzo-s
    I installed packages cacti and snmpd on a Debian server. I'm able to display common graphs in Cacti (such as memory usage, load average, logged in users, etc) using the data templates listed as Unix. Now I want to replace these graphs with new ones using SNMP data sources, because I see there is also CPU usage and because it's not excluded I have to manage multiple hosts in the future. So, I installed snmpd on the machine and left the snmpd.conf as it is. In Cacti, I created three new data sources from SNMP templates for 127.0.0.1 host: ucd/net - CPU Usage - Nice ucd/net - CPU Usage - System ucd/net - CPU Usage - User Then I created a new graph from template ucd/net - CPU Usage, and select the three data sources in the Graph Item Fields section. Graph is now enabled and running, but empty. No data have been collected. Under Console - Devices my SNMP host is listed as up and running: System:Linux ip-xx-xx-xxx-xxx 3.2.0-23-virtual #36-Ubuntu SMP Tue Apr 10 22:29:03 UTC 2012 x86_64 Uptime: 929267 (0 days, 2 hours, 34 minutes) Hostname: ip-xx-xx-xxx-xxx Location: Sitting on the Dock of the Bay Contact: Me [email protected] In SNMP Options I left all as it is: SNMP Version: Version 1 SNMP Community: public SNMP Timeout: 500 ms Maximum OID's Per Get Request: 10 In Console - Utilities - Cacti Log I have multiple warning (two for each data source) every 5 minutes: 10/29/2012 01:45:01 PM - CMDPHP: Poller[0] Host[2] DS[18] WARNING: Result from SNMP not valid. Partial Result: U 10/29/2012 01:45:01 PM - CMDPHP: Poller[0] WARNING: SNMP Get Timeout for Host:'127.0.0.1', and OID:'.1.3.6.1.4.1.2021.4.15.0' 10/29/2012 01:45:01 PM - CMDPHP: Poller[0] Host[1] DS[9] WARNING: Result from SNMP not valid. Partial Result: U 10/29/2012 01:45:01 PM - CMDPHP: Poller[0] WARNING: SNMP Get Timeout for Host:'127.0.0.1', and OID:'.1.3.6.1.4.1.2021.11.52.0' 10/29/2012 01:40:01 PM - CMDPHP: Poller[0] Host[2] DS[19] WARNING: Result from SNMP not valid. Partial Result: U 10/29/2012 01:40:01 PM - CMDPHP: Poller[0] WARNING: SNMP Get Timeout for Host:'127.0.0.1', and OID:'.1.3.6.1.4.1.2021.4.6.0' [...] I have the feeling I'm missing something, but I cannot get it...

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  • Force database read to master if slave data is stale

    - by Jeff Storey
    I previously asked a specific question about this database replication for new user signup to which I got an answer, but I want to ask this in the more general sense. I have a database setup in which I am using a master/slave combination. I am using the slaves for load balancing (the data itself is partitioned/sharded across multiple databases, but each database has X slaves for load balancing). Let's say I write some data to the master. Now I do a subsequent read which hits a slave, but the slave has not yet caught up to the master. Is there a way (which can be done quickly since it will happen frequently) to determine if the data is stale in the slave so I can then route to the master? In my previous question, it was suggested to do simultaneous writes to the cache and the database. This solution seems practical, but there is still a chance that the data may have been removed from the cache but not yet updated in the slave. A possible solution is to ensure the cache is big enough (based on the typical application load) so the data will not be evicted within the time frame it takes to replicate the data. This seems like it may be feasible. Can anyone provide additional insight into this question? Thanks!

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  • Firebird database corruption causes

    - by Rytis
    I am running several different Firebird versions (2.0, 2.1) on multiple entry level Windows-based servers with wildly varying hardware. The only matching thing between them is that they are running same home built application with the same database structure. Lately I've been seeing massive slowdowns on multiple servers. Turns out that database gets corrupted, so each time it breaks, I get to mend, backup and restore the database, and it all is fine for some time (1-2 weeks), and then it repeats once again. Thankfully, I haven't seen any data loss or damage... yet. The thing is that every such downtime results in lost productivity, and often quite some driving for me as some of the databases are in remote locations. I've been trying to find out what's causing the corruption, but I haven't been able to. The fact that it's running on different hardware hints that it should not be a hardware based problem. If we rule out hardware issues, I have a bad feeling that it's a bug in Firebird as I'm not doing anything fancy via SQL. Do you have any idea how to find out exactly what's causing the corruption and hopefully fix the problem?

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  • How to deduplicate 40TB of data?

    - by Michael Stauffer
    I've inherited a research cluster with ~40TB of data across three filesystems. The data stretches back almost 15 years, and there are most likely a good amount of duplicates as researchers copy each others data for different reasons and then just hang on to the copies. I know about de-duping tools like fdupes and rmlint. I'm trying to find one that will work on such a large dataset. I don't care if it takes weeks (or maybe even months) to crawl all the data - I'll probably throttle it anyway to go easy on the filesystems. But I need to find a tool that's either somehow super efficient with RAM, or can store all the intermediary data it needs in files rather than RAM. I'm assuming that my RAM (64GB) will be exhausted if I crawl through all this data as one set. I'm experimenting with fdupes now on a 900GB tree. It's 25% of the way through and RAM usage has been slowly creeping up the whole time, now it's at 700MB. Or, is there a way to direct a process to use disk-mapped RAM so there's much more available and it doesn't use system RAM? I'm running CentOS 6.

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  • Zabbix Proxy not collecting data

    - by syntaxcollector
    Hi All I have a working Zabbix 1.8.2 server collecting data for our office and our colo facility. However the link between the colo and office is flaky. What I'm trying to do is setup a proxy on the colo side to have a 1 hour cache and relay the data to our primary server at the office. Our zabbix server is compiled from source and uses a mysql database I've followed the instructions found in the zabbix documentation to compile the proxy using a sqlite3 database. I add the proxy to zabbix under Administration-DM-Proxies. The zabbix server "sees" the proxy because the "last seen" field is always under 60s. However when I assign a colo host to the proxy I stop receiving data from it. The colo host's zabbix_agentd.log file says this: 29343:20100622:124847 Timeout while answering request 29343:20100622:124847 Getting list of active checks failed. Will retry after 60 seconds The zabbix_proxy.log says this. 2041:20100622:123131.760 Deleted 0 records from history [0.000994 seconds] 2028:20100622:124131.671 Error while receiving answer from server [ZBX_TCP_READ() failed I also am unable to receive any SNMP data which is more important to me than the zabbix agent data. Has anyone had this problem before? Zabbix Server OS: CentOS5.4 Zabbix Server Build: 1.8.2 from source Zabbix Proxy OS: CentOS5.4 Zabbix Proxy Build: 1.8.2 from source P.S. The SQLite database on the zabbix proxy never gets any data written to it, it is identical to when I created it from the blank schema in zabbix-1.8.2/create/schema. (Yes I've checked the permissions)

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  • HP DL185 - very slow disk read speed

    - by fistameeny
    Hi, I have a HP DL185 G6 Server (12 disk model) with the following spec: Quad Core Xeon 2.27GHz 6GB RAM HP P212 RAID controller with battery backup 2 x 128GB 15K SAS 3.5" (RAID-1 for the operating system) 4 x 750GB 7.5K SAS 3.5" (RAID-5 for the data, 2TB usable space) The operating system is Ubuntu Server 9.10. Both drives have been formatted as EXT4. We are finding that read speed of the RAID-5 array is poor. Disk test results below: sudo hdparm -tT /dev/cciss/c0d1p1 /dev/cciss/c0d1p1: Timing cached reads: 15284 MB in 2.00 seconds = 7650.18 MB/sec Timing buffered disk reads: 74 MB in 3.02 seconds = 24.53 MB/sec For info, the RAID-1 array performs as follows: sudo hdparm -tT /dev/cciss/c0d0p1 /dev/cciss/c0d0p1: Timing cached reads: 15652 MB in 2.00 seconds = 7834.26 MB/sec Timing buffered disk reads: 492 MB in 3.01 seconds = 163.46 MB/sec We thought this was because with no battery, read/write cache is disabled. We have bought and installed the battery backup and have used the HP bootable CD to change the cache settings to 50% read / 50% write and check cache is enabled on the drives and the controller. Is there something I'm missing?

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  • Did chkdsk make it harder to restore files?

    - by neyl
    My friend asked me to try and fix his loaded Sansa Clip + which wasn't playing. After opening it in MSC mode I discovered that the Music directory was empty and total of all files was only a few MB. However Disk properties showed me that it was 7Gb full. I then ran Tools - Error Checking and Windows dutifully informed me that disk was corrupt and I should run again Allowing Windows to Fix Errors. I did that and it told me everything was fixed and that all files were placed in FOUND.000 Dir. FOUND.000 was about 7.5 GB with FILE0000-1546 . CHK. (I am aware of methods like ChkBack to scan and convert to mp3 etc BUT Original filenames and structure needed!) Now I started getting worried that I made things worse! I have plenty of experience with Data Recovery Programs - Recuva, Restore My Files etc. and I was anyhow planning to use them to scan the drive. But NOW after CHKDSK "fixed" the drive maybe it modified critical FAT information vital for data recovery. So I run these programs and 0!!!. No trace of files! I tried a ton of Recovery Programs with same results TILL EaseUS Data Recovery Wizard found all files and I purchased program for $55! My Question In your opinion - did running CHKDSK with automatic fixing of errors make matters worse (i.e. many data recovery progs. didn't find a trace and they would have done if not for chkdsk) or was the filesystem too corrupt anyhow for regular File Recovery Progs.? If I would be a Professional - would I be responsible for running CHKDSK - automatic Fixing. Do you know of a better Data Recovery Program than EaseUs Data Recovery wizard - According to my experience I haven't found better!? Thanks

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  • IIS7 ASP.NET application - 2 identical apps in 2 identical app pools, 1 is responsive and 1 is not

    - by Ben
    I have an ASP.NET (v4.0) web app that is installed in a virtual directory (as an application) and is hosted in it's own app pool. This is repeated for each instance of the app (i.e. per customer). The app pools are integrated (not classic) mode and LoadUserProfile is set to true. Otherwise, default settings. Each instance currently has it's own copy of the code/config, and it's own data folder (basic file read/writes). 1 instance of this app runs well (operation used for comparison takes ~4 seconds). Every other instance runs slowly (from 10-25 seconds for the same operation). If I move the slower instance to the "fastest" app pool that instance springs to life. If I move the faster instance into the slower app pool that instance slows to a crawl. The app pools were created in the same way initially - manually. I later used the powershell copy routine to ensure an exact copy of the faster app pool and still the same behaviour. Comparing the apppool.config files shows they are identical barring the virtual directory assignments. There are no shared resources that are being blocked, so far as I can tell, and I tested that by shutting down the performant app pool and restarting... slow is still slow, and then when I restart that app pool (so it's loaded last) it's still faster...

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  • virtual machines, dual booting and data disks on SSD

    - by stevemarvell
    This is in planning, so if I've got the strategy wrong, please let me know. There are multiple questions here, but I think they all degenerate to the same answers. The hardware is a laptop with a single SSD. I'm trying to not lose the performance of the SSD. I plan a native dual booting Windows (plus cygwin) and Linux machine which is my BYOD and represents the development environment. I keep the codebase on a shared partition (though sometimes this is an external thunderbolt SSD) which can be natively "mounted" by whichever OS is in operation. I boot into one or the other environments depending on the task in hand. Sometime I have to develop with windows tools, but generally, Linux is my preferred development environment. It would be ideal if I could VM the other OS and run either in either. I'm going to assume, because I've not found a sensible VM based solution, that I have get samba involved to share the code partition between VMs. Is this going to blow my SSD performance in the VM? The client also supplies me with a VM for the target environment, usually linux. This is not often suited to development and is used for testing only. I normally keep two copies of this, one as a sandbox and one which I deploy to using the client's preferred method. I keep these VM snapshots on the shared partition. The latter is interacted with over the network and so has no disk sharing requirements. However, it would be useful for the sandbox to be able to "mount" the code base from the natively running OS. Is this samba or nfs again, depending on the native OS? Am I missing a trick which allows this to all work smoothly with all four environments running at once without loosing the SSD performance?

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  • RAID 6 that can read with least 1000 Mbit/s?

    - by Diblo Dk
    I purchased a Dell PERC 6/i which I expected to be able to read with 1000 Mbps. There is not much to do now, but there are some things I wanted knowledge about for another time. I have configured it with four 2 TByte drives and RAID 6. It have 256 MByt ram and transfer rate of 300 Mbps. The benchmark test showed: Min read rate: 136.3 Mbps Max read rate: 329,6 Mbps Avg read rate: 242,2 Mbps What could I had done to get at least 1000 Mbps? Is it normal for internal and external RAID controllers to have a lower transfer rate eg. 300 Mbps? (I did not noticed at the time that it was not 3 Gbps) How would a RAID 10 had performed compared to RAID 6 or 5? Would it have been better to use software RAID (Linux) with the internal 3 Gbps SATA controller? UPDATE: The drives is SATA III 6 Gbps. http://www.seagate.com/files/staticfiles/docs/pdf/datasheet/disc/desktop-hdd-data-sheet-ds1770-1-1212us.pdf (2TB)

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  • Losing SQL connections

    - by john pavelka
    sql servr 2005 - Standard; one dedicated sql server (VM); windows server 2003; Small databases; About once a week we lose all sql connections. It seems to fix itself after about 5-10 minutes. System.Web.HttpUnhandledException: Exception of type 'System.Web.HttpUnhandledException' was thrown. --- System.Data.SqlClient.SqlException: Timeout expired. The timeout period elapsed prior to completion of the operation or the server is not responding. We don't have a fully qualified DBA; it's kind of a joint effort here. Can somebody give me some general ideas for troubleshooting the network side and the application side? We already ran a few tuning profiles and ran through Database Tuning Advisor to apply indexing recommendations. It would sure be nice if there was a way to take a snapshot of what was running on sql server when these 100% cpu spikes occured, but sometimes we're not around. Is it common to throttle CPU for certain processes? Can this be done with Windows server 2003? For example, if security apps were making cpu spike to 100%, is there a way to limit their cpu usage? Any advice is appreciated. thanks,

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  • What does the 'Burst Rate' stat mean in HDTune?

    - by UpTheCreek
    I recently upgraded my laptop's v slow hard drive to a seagate momentus 7200. Everything is working fine, but I'm a bit confused by these benchmark results: The burst rate is significantly less than the Maximim transfer rate, and not much higher than the normal minimum (if you ignore the spikes). What's going on here? On the HDtune website it defines Burst Rate as: ...the highest speed (in megabytes per second) at which data can be transferred from the drive interface (IDE or SCSI for example) to the operating system. Which begs some questions... e.g. if this is the highest, then how did the bechmarking tool record the 103MB/sec maximum? And if this really is the true maximum, then where is the bottleneck? The laptops SATA interface is on an Intel 82801GBM southbridge controller. When I check in hardware manager, I see that it's driver is iaStor.sys from 2005. Maybe that's the issue? I'll look for a newever version, but any insights would be appreciated. Thanks

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  • Server specification recommendation

    - by foo
    To cut the story short, I can't buy an item (server/cpu/motherboard/ram) that costs more than USD 330. However, I can combine them, meaning, I can buy a CPU that costs USD 330 and motherboard that costs USD 330. With this limitation, I can't buy a powerful 1U server which will definitely costs me more USD 330. With that in mind, I was hoping to build a powerful desktop PC which will be used as a database server. However, through my experience, desktop PC doesn't last very long, usually the motherboard will just die by itself after 1 or 2 years. So, what would you guys recommend me to buy with this kind of budget? Every item must be <= USD 330. Will be used as a MySQL server. RAID would be nice. 1TB is pretty big for my data. I do not need external graphic card (onboard would do just fine), mouse, keyboard, monitor. Linux friendly. One ethernet port is good enough. It's important that those hardware is made of components that will last long (at least 3 years or something). The server will be placed in an air conditioned room, but a good ventilation for the server is always preferred. I won't overclock it. Intel processor is preferred. Thanks in advance.

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  • Low 'Burst Rate' from SATA drive in HDTune?

    - by UpTheCreek
    I recently upgraded my laptop's v slow hard drive to a seagate momentus 7200. Everything is working fine, but I'm a bit confused by these benchmark results: The burst rate is significantly less than the Maximim transfer rate, and not much higher than the normal minimum (if you ignore the spikes). What's going on here? On the HDtune website it defines Burst Rate as: ...the highest speed (in megabytes per second) at which data can be transferred from the drive interface (IDE or SCSI for example) to the operating system. Which begs some questions... e.g. if this is the highest, then how did the bechmarking tool record the 103MB/sec maximum? And if this really is the true maximum, then where is the bottleneck? The laptops SATA interface is on an Intel 82801GBM southbridge controller. When I check in hardware manager, I see that it's driver is iaStor.sys from 2005. Maybe that's the issue? I'll look for a newever version, but any insights would be appreciated. Thanks UPDATE: Acorting to this page on the HDTune website... An important parameter of the test is the Burst Rate. This value should always be higher than the maximum transfer rate. A lower value is usually an indication of a configuration problem. So what might be the configuration problem?

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  • Advantage Database Server: slow stored procedure performance.

    - by ie
    I have a question about a performance of stored procedures in the ADS. I created a simple database with the following structure: CREATE TABLE MainTable ( Id INTEGER PRIMARY KEY, Name VARCHAR(50), Value INTEGER ); CREATE UNIQUE INDEX MainTableName_UIX ON MainTable ( Name ); CREATE TABLE SubTable ( Id INTEGER PRIMARY KEY, MainId INTEGER, Name VARCHAR(50), Value INTEGER ); CREATE INDEX SubTableMainId_UIX ON SubTable ( MainId ); CREATE UNIQUE INDEX SubTableName_UIX ON SubTable ( Name ); CREATE PROCEDURE CreateItems ( MainName VARCHAR ( 20 ), SubName VARCHAR ( 20 ), MainValue INTEGER, SubValue INTEGER, MainId INTEGER OUTPUT, SubId INTEGER OUTPUT ) BEGIN DECLARE @MainName VARCHAR ( 20 ); DECLARE @SubName VARCHAR ( 20 ); DECLARE @MainValue INTEGER; DECLARE @SubValue INTEGER; DECLARE @MainId INTEGER; DECLARE @SubId INTEGER; @MainName = (SELECT MainName FROM __input); @SubName = (SELECT SubName FROM __input); @MainValue = (SELECT MainValue FROM __input); @SubValue = (SELECT SubValue FROM __input); @MainId = (SELECT MAX(Id)+1 FROM MainTable); @SubId = (SELECT MAX(Id)+1 FROM SubTable ); INSERT INTO MainTable (Id, Name, Value) VALUES (@MainId, @MainName, @MainValue); INSERT INTO SubTable (Id, Name, MainId, Value) VALUES (@SubId, @SubName, @MainId, @SubValue); INSERT INTO __output SELECT @MainId, @SubId FROM system.iota; END; CREATE PROCEDURE UpdateItems ( MainName VARCHAR ( 20 ), MainValue INTEGER, SubValue INTEGER ) BEGIN DECLARE @MainName VARCHAR ( 20 ); DECLARE @MainValue INTEGER; DECLARE @SubValue INTEGER; DECLARE @MainId INTEGER; @MainName = (SELECT MainName FROM __input); @MainValue = (SELECT MainValue FROM __input); @SubValue = (SELECT SubValue FROM __input); @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = @MainName); UPDATE MainTable SET Value = @MainValue WHERE Id = @MainId; UPDATE SubTable SET Value = @SubValue WHERE MainId = @MainId; END; CREATE PROCEDURE SelectItems ( MainName VARCHAR ( 20 ), CalculatedValue INTEGER OUTPUT ) BEGIN DECLARE @MainName VARCHAR ( 20 ); @MainName = (SELECT MainName FROM __input); INSERT INTO __output SELECT m.Value * s.Value FROM MainTable m INNER JOIN SubTable s ON m.Id = s.MainId WHERE m.Name = @MainName; END; CREATE PROCEDURE DeleteItems ( MainName VARCHAR ( 20 ) ) BEGIN DECLARE @MainName VARCHAR ( 20 ); DECLARE @MainId INTEGER; @MainName = (SELECT MainName FROM __input); @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = @MainName); DELETE FROM SubTable WHERE MainId = @MainId; DELETE FROM MainTable WHERE Id = @MainId; END; Actually, the problem I had - even so light stored procedures work very-very slow (about 50-150 ms) relatively to plain queries (0-5ms). To test the performance, I created a simple test (in F# using ADS ADO.NET provider): open System; open System.Data; open System.Diagnostics; open Advantage.Data.Provider; let mainName = "main name #"; let subName = "sub name #"; // INSERT let cmdTextScriptInsert = " DECLARE @MainId INTEGER; DECLARE @SubId INTEGER; @MainId = (SELECT MAX(Id)+1 FROM MainTable); @SubId = (SELECT MAX(Id)+1 FROM SubTable ); INSERT INTO MainTable (Id, Name, Value) VALUES (@MainId, :MainName, :MainValue); INSERT INTO SubTable (Id, Name, MainId, Value) VALUES (@SubId, :SubName, @MainId, :SubValue); SELECT @MainId, @SubId FROM system.iota;"; let cmdTextProcedureInsert = "CreateItems"; // UPDATE let cmdTextScriptUpdate = " DECLARE @MainId INTEGER; @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = :MainName); UPDATE MainTable SET Value = :MainValue WHERE Id = @MainId; UPDATE SubTable SET Value = :SubValue WHERE MainId = @MainId;"; let cmdTextProcedureUpdate = "UpdateItems"; // SELECT let cmdTextScriptSelect = " SELECT m.Value * s.Value FROM MainTable m INNER JOIN SubTable s ON m.Id = s.MainId WHERE m.Name = :MainName;"; let cmdTextProcedureSelect = "SelectItems"; // DELETE let cmdTextScriptDelete = " DECLARE @MainId INTEGER; @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = :MainName); DELETE FROM SubTable WHERE MainId = @MainId; DELETE FROM MainTable WHERE Id = @MainId;"; let cmdTextProcedureDelete = "DeleteItems"; let cnnStr = @"data source=D:\DB\test.add; ServerType=local; user id=adssys; password=***;"; let cnn = new AdsConnection(cnnStr); try cnn.Open(); let cmd = cnn.CreateCommand(); let parametrize ix prms = cmd.Parameters.Clear(); let addParam = function | "MainName" -> cmd.Parameters.Add(":MainName" , mainName + ix.ToString()) |> ignore; | "SubName" -> cmd.Parameters.Add(":SubName" , subName + ix.ToString() ) |> ignore; | "MainValue" -> cmd.Parameters.Add(":MainValue", ix * 3 ) |> ignore; | "SubValue" -> cmd.Parameters.Add(":SubValue" , ix * 7 ) |> ignore; | _ -> () prms |> List.iter addParam; let runTest testData = let (cmdType, cmdName, cmdText, cmdParams) = testData; let toPrefix cmdType cmdName = let prefix = match cmdType with | CommandType.StoredProcedure -> "Procedure-" | CommandType.Text -> "Script -" | _ -> "Unknown -" in prefix + cmdName; let stopWatch = new Stopwatch(); let runStep ix prms = parametrize ix prms; stopWatch.Start(); cmd.ExecuteNonQuery() |> ignore; stopWatch.Stop(); cmd.CommandText <- cmdText; cmd.CommandType <- cmdType; let startId = 1500; let count = 10; for id in startId .. startId+count do runStep id cmdParams; let elapsed = stopWatch.Elapsed; Console.WriteLine("Test '{0}' - total: {1}; per call: {2}ms", toPrefix cmdType cmdName, elapsed, Convert.ToInt32(elapsed.TotalMilliseconds)/count); let lst = [ (CommandType.Text, "Insert", cmdTextScriptInsert, ["MainName"; "SubName"; "MainValue"; "SubValue"]); (CommandType.Text, "Update", cmdTextScriptUpdate, ["MainName"; "MainValue"; "SubValue"]); (CommandType.Text, "Select", cmdTextScriptSelect, ["MainName"]); (CommandType.Text, "Delete", cmdTextScriptDelete, ["MainName"]) (CommandType.StoredProcedure, "Insert", cmdTextProcedureInsert, ["MainName"; "SubName"; "MainValue"; "SubValue"]); (CommandType.StoredProcedure, "Update", cmdTextProcedureUpdate, ["MainName"; "MainValue"; "SubValue"]); (CommandType.StoredProcedure, "Select", cmdTextProcedureSelect, ["MainName"]); (CommandType.StoredProcedure, "Delete", cmdTextProcedureDelete, ["MainName"])]; lst |> List.iter runTest; finally cnn.Close(); And I'm getting the following results: Test 'Script -Insert' - total: 00:00:00.0292841; per call: 2ms Test 'Script -Update' - total: 00:00:00.0056296; per call: 0ms Test 'Script -Select' - total: 00:00:00.0051738; per call: 0ms Test 'Script -Delete' - total: 00:00:00.0059258; per call: 0ms Test 'Procedure-Insert' - total: 00:00:01.2567146; per call: 125ms Test 'Procedure-Update' - total: 00:00:00.7442440; per call: 74ms Test 'Procedure-Select' - total: 00:00:00.5120446; per call: 51ms Test 'Procedure-Delete' - total: 00:00:01.0619165; per call: 106ms The situation with the remote server is much better, but still a great gap between plaqin queries and stored procedures: Test 'Script -Insert' - total: 00:00:00.0709299; per call: 7ms Test 'Script -Update' - total: 00:00:00.0161777; per call: 1ms Test 'Script -Select' - total: 00:00:00.0258113; per call: 2ms Test 'Script -Delete' - total: 00:00:00.0166242; per call: 1ms Test 'Procedure-Insert' - total: 00:00:00.5116138; per call: 51ms Test 'Procedure-Update' - total: 00:00:00.3802251; per call: 38ms Test 'Procedure-Select' - total: 00:00:00.1241245; per call: 12ms Test 'Procedure-Delete' - total: 00:00:00.4336334; per call: 43ms Is it any chance to improve the SP performance? Please advice. ADO.NET driver version - 9.10.2.9 Server version - 9.10.0.9 (ANSI - GERMAN, OEM - GERMAN) Thanks!

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  • What is the fastest cyclic synchronization in Java (ExecutorService vs. CyclicBarrier vs. X)?

    - by Alex Dunlop
    Which Java synchronization construct is likely to provide the best performance for a concurrent, iterative processing scenario with a fixed number of threads like the one outlined below? After experimenting on my own for a while (using ExecutorService and CyclicBarrier) and being somewhat surprised by the results, I would be grateful for some expert advice and maybe some new ideas. Existing questions here do not seem to focus primarily on performance, hence this new one. Thanks in advance! The core of the app is a simple iterative data processing algorithm, parallelized to the spread the computational load across 8 cores on a Mac Pro, running OS X 10.6 and Java 1.6.0_07. The data to be processed is split into 8 blocks and each block is fed to a Runnable to be executed by one of a fixed number of threads. Parallelizing the algorithm was fairly straightforward, and it functionally works as desired, but its performance is not yet what I think it could be. The app seems to spend a lot of time in system calls synchronizing, so after some profiling I wonder whether I selected the most appropriate synchronization mechanism(s). A key requirement of the algorithm is that it needs to proceed in stages, so the threads need to sync up at the end of each stage. The main thread prepares the work (very low overhead), passes it to the threads, lets them work on it, then proceeds when all threads are done, rearranges the work (again very low overhead) and repeats the cycle. The machine is dedicated to this task, Garbage Collection is minimized by using per-thread pools of pre-allocated items, and the number of threads can be fixed (no incoming requests or the like, just one thread per CPU core). V1 - ExecutorService My first implementation used an ExecutorService with 8 worker threads. The program creates 8 tasks holding the work and then lets them work on it, roughly like this: // create one thread per CPU executorService = Executors.newFixedThreadPool( 8 ); ... // now process data in cycles while( ...) { // package data into 8 work items ... // create one Callable task per work item ... // submit the Callables to the worker threads executorService.invokeAll( taskList ); } This works well functionally (it does what it should), and for very large work items indeed all 8 CPUs become highly loaded, as much as the processing algorithm would be expected to allow (some work items will finish faster than others, then idle). However, as the work items become smaller (and this is not really under the program's control), the user CPU load shrinks dramatically: blocksize | system | user | cycles/sec 256k 1.8% 85% 1.30 64k 2.5% 77% 5.6 16k 4% 64% 22.5 4096 8% 56% 86 1024 13% 38% 227 256 17% 19% 420 64 19% 17% 948 16 19% 13% 1626 Legend: - block size = size of the work item (= computational steps) - system = system load, as shown in OS X Activity Monitor (red bar) - user = user load, as shown in OS X Activity Monitor (green bar) - cycles/sec = iterations through the main while loop, more is better The primary area of concern here is the high percentage of time spent in the system, which appears to be driven by thread synchronization calls. As expected, for smaller work items, ExecutorService.invokeAll() will require relatively more effort to sync up the threads versus the amount of work being performed in each thread. But since ExecutorService is more generic than it would need to be for this use case (it can queue tasks for threads if there are more tasks than cores), I though maybe there would be a leaner synchronization construct. V2 - CyclicBarrier The next implementation used a CyclicBarrier to sync up the threads before receiving work and after completing it, roughly as follows: main() { // create the barrier barrier = new CyclicBarrier( 8 + 1 ); // create Runable for thread, tell it about the barrier Runnable task = new WorkerThreadRunnable( barrier ); // start the threads for( int i = 0; i < 8; i++ ) { // create one thread per core new Thread( task ).start(); } while( ... ) { // tell threads about the work ... // N threads + this will call await(), then system proceeds barrier.await(); // ... now worker threads work on the work... // wait for worker threads to finish barrier.await(); } } class WorkerThreadRunnable implements Runnable { CyclicBarrier barrier; WorkerThreadRunnable( CyclicBarrier barrier ) { this.barrier = barrier; } public void run() { while( true ) { // wait for work barrier.await(); // do the work ... // wait for everyone else to finish barrier.await(); } } } Again, this works well functionally (it does what it should), and for very large work items indeed all 8 CPUs become highly loaded, as before. However, as the work items become smaller, the load still shrinks dramatically: blocksize | system | user | cycles/sec 256k 1.9% 85% 1.30 64k 2.7% 78% 6.1 16k 5.5% 52% 25 4096 9% 29% 64 1024 11% 15% 117 256 12% 8% 169 64 12% 6.5% 285 16 12% 6% 377 For large work items, synchronization is negligible and the performance is identical to V1. But unexpectedly, the results of the (highly specialized) CyclicBarrier seem MUCH WORSE than those for the (generic) ExecutorService: throughput (cycles/sec) is only about 1/4th of V1. A preliminary conclusion would be that even though this seems to be the advertised ideal use case for CyclicBarrier, it performs much worse than the generic ExecutorService. V3 - Wait/Notify + CyclicBarrier It seemed worth a try to replace the first cyclic barrier await() with a simple wait/notify mechanism: main() { // create the barrier // create Runable for thread, tell it about the barrier // start the threads while( ... ) { // tell threads about the work // for each: workerThreadRunnable.setWorkItem( ... ); // ... now worker threads work on the work... // wait for worker threads to finish barrier.await(); } } class WorkerThreadRunnable implements Runnable { CyclicBarrier barrier; @NotNull volatile private Callable<Integer> workItem; WorkerThreadRunnable( CyclicBarrier barrier ) { this.barrier = barrier; this.workItem = NO_WORK; } final protected void setWorkItem( @NotNull final Callable<Integer> callable ) { synchronized( this ) { workItem = callable; notify(); } } public void run() { while( true ) { // wait for work while( true ) { synchronized( this ) { if( workItem != NO_WORK ) break; try { wait(); } catch( InterruptedException e ) { e.printStackTrace(); } } } // do the work ... // wait for everyone else to finish barrier.await(); } } } Again, this works well functionally (it does what it should). blocksize | system | user | cycles/sec 256k 1.9% 85% 1.30 64k 2.4% 80% 6.3 16k 4.6% 60% 30.1 4096 8.6% 41% 98.5 1024 12% 23% 202 256 14% 11.6% 299 64 14% 10.0% 518 16 14.8% 8.7% 679 The throughput for small work items is still much worse than that of the ExecutorService, but about 2x that of the CyclicBarrier. Eliminating one CyclicBarrier eliminates half of the gap. V4 - Busy wait instead of wait/notify Since this app is the primary one running on the system and the cores idle anyway if they're not busy with a work item, why not try a busy wait for work items in each thread, even if that spins the CPU needlessly. The worker thread code changes as follows: class WorkerThreadRunnable implements Runnable { // as before final protected void setWorkItem( @NotNull final Callable<Integer> callable ) { workItem = callable; } public void run() { while( true ) { // busy-wait for work while( true ) { if( workItem != NO_WORK ) break; } // do the work ... // wait for everyone else to finish barrier.await(); } } } Also works well functionally (it does what it should). blocksize | system | user | cycles/sec 256k 1.9% 85% 1.30 64k 2.2% 81% 6.3 16k 4.2% 62% 33 4096 7.5% 40% 107 1024 10.4% 23% 210 256 12.0% 12.0% 310 64 11.9% 10.2% 550 16 12.2% 8.6% 741 For small work items, this increases throughput by a further 10% over the CyclicBarrier + wait/notify variant, which is not insignificant. But it is still much lower-throughput than V1 with the ExecutorService. V5 - ? So what is the best synchronization mechanism for such a (presumably not uncommon) problem? I am weary of writing my own sync mechanism to completely replace ExecutorService (assuming that it is too generic and there has to be something that can still be taken out to make it more efficient). It is not my area of expertise and I'm concerned that I'd spend a lot of time debugging it (since I'm not even sure my wait/notify and busy wait variants are correct) for uncertain gain. Any advice would be greatly appreciated.

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