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• Sql server query using function and view is slower

  - by Lieven Cardoen

  I have a table with a xml column named Data: CREATE TABLE [dbo].[Users]( [UserId] [int] IDENTITY(1,1) NOT NULL, [FirstName] [nvarchar](max) NOT NULL, [LastName] [nvarchar](max) NOT NULL, [Email] [nvarchar](250) NOT NULL, [Password] [nvarchar](max) NULL, [UserName] [nvarchar](250) NOT NULL, [LanguageId] [int] NOT NULL, [Data] [xml] NULL, [IsDeleted] [bit] NOT NULL,... In the Data column there's this xml <data> <RRN>...</RRN> <DateOfBirth>...</DateOfBirth> <Gender>...</Gender> </data> Now, executing this query: SELECT UserId FROM Users WHERE data.value('(/data/RRN)[1]', 'nvarchar(max)') = @RRN after clearing the cache takes (if I execute it a couple of times after each other) 910, 739, 630, 635, ... ms. Now, a db specialist told me that adding a function, a view and changing the query would make it much more faster to search a user with a given RRN. But, instead, these are the results when I execute with the changes from the db specialist: 2584, 2342, 2322, 2383, ... This is the added function: CREATE FUNCTION dbo.fn_Users_RRN(@data xml) RETURNS varchar(100) WITH SCHEMABINDING AS BEGIN RETURN @data.value('(/data/RRN)[1]', 'varchar(max)'); END; The added view: CREATE VIEW vwi_Users WITH SCHEMABINDING AS SELECT UserId, dbo.fn_Users_RRN(Data) AS RRN from dbo.Users Indexes: CREATE UNIQUE CLUSTERED INDEX cx_vwi_Users ON vwi_Users(UserId) CREATE NONCLUSTERED INDEX cx_vwi_Users__RRN ON vwi_Users(RRN) And then the changed query: SELECT UserId FROM Users WHERE dbo.fn_Users_RRN(Data) = '59021626919-61861855-S_FA1E11' Why is the solution with a function and a view going slower?

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• Why does SQLite take such a long time to fetch the data?

  - by Derk

  I have two possible queries, both giving the result set I want. Query one takes about 30ms, but 150ms to fetch the data from the database. SELECT id FROM featurevalues as featval3 WHERE featval3.feature IN (?,?,?,?) AND EXISTS ( SELECT 1 FROM product_to_value, product_to_value as prod2, features, featurevalues WHERE product_to_value.feature = features.int AND product_to_value.value = featurevalues.id AND features.id = ? AND featurevalues.id IN (?,?) AND product_to_value.product = prod2.product AND prod2.value = featval3.id ) Query two takes about 3ms -this is the one I therefore prefer-, but also takes 170ms to fetch the data. SELECT ( SELECT prod2.value FROM product_to_value, product_to_value as prod2, features, featurevalues WHERE product_to_value.feature = features.int AND product_to_value.value = featurevalues.id AND features.id = ? AND featurevalues.id IN (?,?) AND product_to_value.product = prod2.product AND prod2.value = featval3.id ) as id FROM featurevalues as featval3 WHERE featval3.feature IN (?,?,?,?) The 170ms seems to be related to the number of rows from table featval3. After an index is used on featval3.feature IN (?,?,?,?), 151 items "remain" in featval3. Is there something obvious I am missing regarding the slow fetching? As far as I know everything is properly indexed.. I am confused because the second query only takes a blazing 3ms to run.

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• Interesting Scala typing solution, doesn't work in 2.7.7?

  - by djc

  I'm trying to build some image algebra code that can work with images (basically a linear pixel buffer + dimensions) that have different types for the pixel. To get this to work, I've defined a parametrized Pixel trait with a few methods that should be able to get used with any Pixel subclass. (For now, I'm only interested in operations that work on the same Pixel type.) Here it is: trait Pixel[T <: Pixel[T]] { def mul(v: Double): T def max(v: T): T def div(v: Double): T def div(v: T): T } Now I define a single Pixel type that has storage based on three doubles (basically RGB 0.0-1.0), I've called it TripleDoublePixel: class TripleDoublePixel(v: Array[Double]) extends Pixel[TripleDoublePixel] { var data: Array[Double] = v def this() = this(Array(0.0, 0.0, 0.0)) def toString(): String = { "(" + data(0) + ", " + data(1) + ", " + data(2) + ")" } def increment(v: TripleDoublePixel) { data(0) += v.data(0) data(1) += v.data(1) data(2) += v.data(2) } def mul(v: Double): TripleDoublePixel = { new TripleDoublePixel(data.map(x => x * v)) } def div(v: Double): TripleDoublePixel = { new TripleDoublePixel(data.map(x => x / v)) } def div(v: TripleDoublePixel): TripleDoublePixel = { var tmp = new Array[Double](3) tmp(0) = data(0) / v.data(0) tmp(1) = data(1) / v.data(1) tmp(2) = data(2) / v.data(2) new TripleDoublePixel(tmp) } def max(v: TripleDoublePixel): TripleDoublePixel = { val lv = data(0) * data(0) + data(1) * data(1) + data(2) * data(2) val vv = v.data(0) * v.data(0) + v.data(1) * v.data(1) + v.data(2) * v.data(2) if (lv > vv) (this) else v } } Now I want to write code to use this, that doesn't have to know what type the pixels are. For example: def idiv[T](a: Image[T], b: Image[T]) { for (i <- 0 until a.data.size) { a.data(i) = a.data(i).div(b.data(i)) } } Unfortunately, this doesn't compile: (fragment of lindet-gen.scala):145: error: value div is not a member of T a.data(i) = a.data(i).div(b.data(i)) I was told in #scala that this worked for someone else, but that was on 2.8. I've tried to get 2.8-rc1 going, but it doesn't compile for me. Is there any way to get this to work in 2.7.7?

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• Is it possible to cache all the data in a SQL Server CE database using LinqToSql?

  - by DanM

  I'm using LinqToSql to query a small, simple SQL Server CE database. I've noticed that any operations involving sub-properties are disappointingly slow. For example, if I have a Customer table that is referenced by an Order table, LinqToSql will automatically create an EntitySet<Order> property. This is a nice convenience, allowing me to do things like Customer.Order.Where(o => o.ProductName = "Stopwatch"), but for some reason, SQL Server CE hangs up pretty bad when I try to do stuff like this. One of my queries, which isn't really that complicated takes 3-4 seconds to complete. I can get the speed up to acceptable, even fast, if I just grab the two tables individually and convert them to List<Customer> and List<Order>, then join then manually with my own query, but this is throwing out a lot of what makes LinqToSql so appealing. So, I'm wondering if I can somehow get the whole database into RAM and just query that way, then occasionally save it. Is this possible? How? If not, is there anything else I can do to boost the performance besides resorting to doing all the joins manually? Note: My database in its initial state is about 250K and I don't expect it to grow to more than 1-2Mb. So, loading the data into RAM certainly wouldn't be a problem from a memory point of view. Update Here are the table definitions for the example I used in my question: create table Order ( Id int identity(1, 1) primary key, ProductName ntext null ) create table Customer ( Id int identity(1, 1) primary key, OrderId int null references Order (Id) )

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• PHP : If...Else...Query

  - by Rachel

  I am executing this statement under while (($data=fgetcsv($this->fin,5000,";"))!==FALSE) Now what I want in else loop is to throw exception only for data value which did not satisfy the if condition. Right now am displaying the complete row as I am not sure how to throw exception only for data which does not satisfy the value. Code if ((strtotime($data[11]) &&strtotime($data[12])&&strtotime($data[16]))!==FALSE && ctype_digit($data[0]) && ctype_alnum($data[1]) && ctype_digit($data[2]) && ctype_alnum($data[3]) && ctype_alnum($data[4]) && ctype_alnum($data[5]) && ctype_alnum($data[6]) && ctype_alnum($data[7]) && ctype_alnum($data[8]) && $this->_is_valid($data[9]) && ctype_digit($data[10]) && ctype_digit($data[13]) && $this->_is_valid($data[14])) { //Some Logic } else { throw new Exception ("Data {$data[0], $data[1], $data[2], $data[3], $data[4], $data[5], $data[6], $data[7], $data[8], $data[9], $data[10], $data[11], $data[12], $data[13], $data[14], $data[16]} is not in valid format"); } Guidance would be highly appreciated as to how can I throw exception only for data which did not satisfy the if value.

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• SQL SERVER – Copy Data from One Table to Another Table – SQL in Sixty Seconds #031 – Video

  - by pinaldave

  Copy data from one table to another table is one of the most requested questions on forums, Facebook and Twitter. The question has come in many formats and there are places I have seen developers are using cursor instead of this direct method. Earlier I have written the similar article a few years ago - SQL SERVER – Insert Data From One Table to Another Table – INSERT INTO SELECT – SELECT INTO TABLE. The article has been very popular and I have received many interesting and constructive comments. However there were two specific comments keep on ending up on my mailbox. 1) SQL Server AdventureWorks Samples Database does not have table I used in the example 2) If there is a video tutorial of the same example. After carefully thinking I decided to build a new set of the scripts for the example which are very similar to the old one as well video tutorial of the same. There was no better place than our SQL in Sixty Second Series to cover this interesting small concept. Let me know what you think of this video. Here is the updated script. -- Method 1 : INSERT INTO SELECT USE AdventureWorks2012 GO ----Create TestTable CREATE TABLE TestTable (FirstName VARCHAR(100), LastName VARCHAR(100)) ----INSERT INTO TestTable using SELECT INSERT INTO TestTable (FirstName, LastName) SELECT FirstName, LastName FROM Person.Person WHERE EmailPromotion = 2 ----Verify that Data in TestTable SELECT FirstName, LastName FROM TestTable ----Clean Up Database DROP TABLE TestTable GO --------------------------------------------------------- --------------------------------------------------------- -- Method 2 : SELECT INTO USE AdventureWorks2012 GO ----Create new table and insert into table using SELECT INSERT SELECT FirstName, LastName INTO TestTable FROM Person.Person WHERE EmailPromotion = 2 ----Verify that Data in TestTable SELECT FirstName, LastName FROM TestTable ----Clean Up Database DROP TABLE TestTable GO Related Tips in SQL in Sixty Seconds: SQL SERVER – Insert Data From One Table to Another Table – INSERT INTO SELECT – SELECT INTO TABLE Powershell – Importing CSV File Into Database – Video SQL SERVER – 2005 – Export Data From SQL Server 2005 to Microsoft Excel Datasheet SQL SERVER – Import CSV File into Database Table Using SSIS SQL SERVER – Import CSV File Into SQL Server Using Bulk Insert – Load Comma Delimited File Into SQL Server SQL SERVER – 2005 – Generate Script with Data from Database – Database Publishing Wizard What would you like to see in the next SQL in Sixty Seconds video? Reference: Pinal Dave (http://blog.sqlauthority.com)   Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video Tagged: Excel

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• High CPU usage with Team Speak 3.0.0-rc2

  - by AlexTheBird

  The CPU usage is always around 40 percent. I use push-to-talk and I had uninstalled pulseaudio. Now I use Alsa. I don't even have to connect to a Server. By simply starting TS the cpu usage goes up 40 percent and stays there. The CPU usage of 3.0.0-rc1 [Build: 14468] is constantly 14 percent. This is the output of top, mpstat and ps aux while I am running TS3 ... of course: alexandros@alexandros-laptop:~$ top top - 18:20:07 up 2:22, 3 users, load average: 1.02, 0.85, 0.77 Tasks: 163 total, 1 running, 162 sleeping, 0 stopped, 0 zombie Cpu(s): 5.3%us, 1.9%sy, 0.1%ni, 91.8%id, 0.7%wa, 0.1%hi, 0.1%si, 0.0%st Mem: 2061344k total, 964028k used, 1097316k free, 69116k buffers Swap: 3997688k total, 0k used, 3997688k free, 449032k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2714 alexandr 20 0 206m 31m 24m S 37 1.6 0:12.78 ts3client_linux 868 root 20 0 47564 27m 10m S 8 1.4 3:21.73 Xorg 1 root 20 0 2804 1660 1204 S 0 0.1 0:00.53 init 2 root 20 0 0 0 0 S 0 0.0 0:00.00 kthreadd 3 root RT 0 0 0 0 S 0 0.0 0:00.01 migration/0 4 root 20 0 0 0 0 S 0 0.0 0:00.45 ksoftirqd/0 5 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 6 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/1 7 root 20 0 0 0 0 S 0 0.0 0:00.08 ksoftirqd/1 8 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/1 9 root 20 0 0 0 0 S 0 0.0 0:01.17 events/0 10 root 20 0 0 0 0 S 0 0.0 0:00.81 events/1 11 root 20 0 0 0 0 S 0 0.0 0:00.00 cpuset 12 root 20 0 0 0 0 S 0 0.0 0:00.00 khelper 13 root 20 0 0 0 0 S 0 0.0 0:00.00 async/mgr 14 root 20 0 0 0 0 S 0 0.0 0:00.00 pm 16 root 20 0 0 0 0 S 0 0.0 0:00.00 sync_supers 17 root 20 0 0 0 0 S 0 0.0 0:00.00 bdi-default 18 root 20 0 0 0 0 S 0 0.0 0:00.00 kintegrityd/0 19 root 20 0 0 0 0 S 0 0.0 0:00.00 kintegrityd/1 20 root 20 0 0 0 0 S 0 0.0 0:00.05 kblockd/0 21 root 20 0 0 0 0 S 0 0.0 0:00.02 kblockd/1 22 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpid 23 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpi_notify 24 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpi_hotplug 25 root 20 0 0 0 0 S 0 0.0 0:00.99 ata/0 26 root 20 0 0 0 0 S 0 0.0 0:00.92 ata/1 27 root 20 0 0 0 0 S 0 0.0 0:00.00 ata_aux 28 root 20 0 0 0 0 S 0 0.0 0:00.00 ksuspend_usbd 29 root 20 0 0 0 0 S 0 0.0 0:00.00 khubd alexandros@alexandros-laptop:~$ mpstat Linux 2.6.32-32-generic (alexandros-laptop) 16.06.2011 _i686_ (2 CPU) 18:20:15 CPU %usr %nice %sys %iowait %irq %soft %steal %guest %idle 18:20:15 all 5,36 0,09 1,91 0,68 0,07 0,06 0,00 0,00 91,83 alexandros@alexandros-laptop:~$ ps aux USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.0 2804 1660 ? Ss 15:58 0:00 /sbin/init root 2 0.0 0.0 0 0 ? S 15:58 0:00 [kthreadd] root 3 0.0 0.0 0 0 ? S 15:58 0:00 [migration/0] root 4 0.0 0.0 0 0 ? S 15:58 0:00 [ksoftirqd/0] root 5 0.0 0.0 0 0 ? S 15:58 0:00 [watchdog/0] root 6 0.0 0.0 0 0 ? S 15:58 0:00 [migration/1] root 7 0.0 0.0 0 0 ? S 15:58 0:00 [ksoftirqd/1] root 8 0.0 0.0 0 0 ? S 15:58 0:00 [watchdog/1] root 9 0.0 0.0 0 0 ? S 15:58 0:01 [events/0] root 10 0.0 0.0 0 0 ? S 15:58 0:00 [events/1] root 11 0.0 0.0 0 0 ? S 15:58 0:00 [cpuset] root 12 0.0 0.0 0 0 ? S 15:58 0:00 [khelper] root 13 0.0 0.0 0 0 ? S 15:58 0:00 [async/mgr] root 14 0.0 0.0 0 0 ? S 15:58 0:00 [pm] root 16 0.0 0.0 0 0 ? S 15:58 0:00 [sync_supers] root 17 0.0 0.0 0 0 ? S 15:58 0:00 [bdi-default] root 18 0.0 0.0 0 0 ? S 15:58 0:00 [kintegrityd/0] root 19 0.0 0.0 0 0 ? S 15:58 0:00 [kintegrityd/1] root 20 0.0 0.0 0 0 ? S 15:58 0:00 [kblockd/0] root 21 0.0 0.0 0 0 ? S 15:58 0:00 [kblockd/1] root 22 0.0 0.0 0 0 ? S 15:58 0:00 [kacpid] root 23 0.0 0.0 0 0 ? S 15:58 0:00 [kacpi_notify] root 24 0.0 0.0 0 0 ? S 15:58 0:00 [kacpi_hotplug] root 25 0.0 0.0 0 0 ? S 15:58 0:00 [ata/0] root 26 0.0 0.0 0 0 ? S 15:58 0:00 [ata/1] root 27 0.0 0.0 0 0 ? S 15:58 0:00 [ata_aux] root 28 0.0 0.0 0 0 ? S 15:58 0:00 [ksuspend_usbd] root 29 0.0 0.0 0 0 ? S 15:58 0:00 [khubd] root 30 0.0 0.0 0 0 ? S 15:58 0:00 [kseriod] root 31 0.0 0.0 0 0 ? S 15:58 0:00 [kmmcd] root 34 0.0 0.0 0 0 ? S 15:58 0:00 [khungtaskd] root 35 0.0 0.0 0 0 ? S 15:58 0:00 [kswapd0] root 36 0.0 0.0 0 0 ? SN 15:58 0:00 [ksmd] root 37 0.0 0.0 0 0 ? S 15:58 0:00 [aio/0] root 38 0.0 0.0 0 0 ? S 15:58 0:00 [aio/1] root 39 0.0 0.0 0 0 ? S 15:58 0:00 [ecryptfs-kthrea] root 40 0.0 0.0 0 0 ? S 15:58 0:00 [crypto/0] root 41 0.0 0.0 0 0 ? S 15:58 0:00 [crypto/1] root 48 0.0 0.0 0 0 ? S 15:58 0:03 [scsi_eh_0] root 50 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_1] root 53 0.0 0.0 0 0 ? S 15:58 0:00 [kstriped] root 54 0.0 0.0 0 0 ? S 15:58 0:00 [kmpathd/0] root 55 0.0 0.0 0 0 ? S 15:58 0:00 [kmpathd/1] root 56 0.0 0.0 0 0 ? S 15:58 0:00 [kmpath_handlerd] root 57 0.0 0.0 0 0 ? S 15:58 0:00 [ksnapd] root 58 0.0 0.0 0 0 ? S 15:58 0:03 [kondemand/0] root 59 0.0 0.0 0 0 ? S 15:58 0:02 [kondemand/1] root 60 0.0 0.0 0 0 ? S 15:58 0:00 [kconservative/0] root 61 0.0 0.0 0 0 ? S 15:58 0:00 [kconservative/1] root 213 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_2] root 222 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_3] root 234 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_4] root 235 0.0 0.0 0 0 ? S 15:58 0:01 [usb-storage] root 255 0.0 0.0 0 0 ? S 15:58 0:00 [jbd2/sda5-8] root 256 0.0 0.0 0 0 ? S 15:58 0:00 [ext4-dio-unwrit] root 257 0.0 0.0 0 0 ? S 15:58 0:00 [ext4-dio-unwrit] root 290 0.0 0.0 0 0 ? S 15:58 0:00 [flush-8:0] root 318 0.0 0.0 2316 888 ? S 15:58 0:00 upstart-udev-bridge --daemon root 321 0.0 0.0 2616 1024 ? S<s 15:58 0:00 udevd --daemon root 526 0.0 0.0 0 0 ? S 15:58 0:00 [kpsmoused] root 528 0.0 0.0 0 0 ? S 15:58 0:00 [led_workqueue] root 650 0.0 0.0 0 0 ? S 15:58 0:00 [radeon/0] root 651 0.0 0.0 0 0 ? S 15:58 0:00 [radeon/1] root 652 0.0 0.0 0 0 ? S 15:58 0:00 [ttm_swap] root 654 0.0 0.0 2612 984 ? S< 15:58 0:00 udevd --daemon root 656 0.0 0.0 0 0 ? S 15:58 0:00 [hd-audio0] root 657 0.0 0.0 2612 916 ? S< 15:58 0:00 udevd --daemon root 674 0.6 0.0 0 0 ? S 15:58 0:57 [phy0] syslog 715 0.0 0.0 34812 1776 ? Sl 15:58 0:00 rsyslogd -c4 102 731 0.0 0.0 3236 1512 ? Ss 15:58 0:02 dbus-daemon --system --fork root 740 0.0 0.1 19088 3380 ? Ssl 15:58 0:00 gdm-binary root 744 0.0 0.1 18900 4032 ? Ssl 15:58 0:01 NetworkManager avahi 749 0.0 0.0 2928 1520 ? S 15:58 0:00 avahi-daemon: running [alexandros-laptop.local] avahi 752 0.0 0.0 2928 544 ? Ss 15:58 0:00 avahi-daemon: chroot helper root 753 0.0 0.1 4172 2300 ? S 15:58 0:00 /usr/sbin/modem-manager root 762 0.0 0.1 20584 3152 ? Sl 15:58 0:00 /usr/sbin/console-kit-daemon --no-daemon root 836 0.0 0.1 20856 3864 ? Sl 15:58 0:00 /usr/lib/gdm/gdm-simple-slave --display-id /org/gnome/DisplayManager/Display1 root 856 0.0 0.1 4836 2388 ? S 15:58 0:00 /sbin/wpa_supplicant -u -s root 868 2.3 1.3 36932 27924 tty7 Rs+ 15:58 3:22 /usr/bin/X :0 -nr -verbose -auth /var/run/gdm/auth-for-gdm-a46T4j/database -nolisten root 891 0.0 0.0 1792 564 tty4 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty4 root 901 0.0 0.0 1792 564 tty5 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty5 root 908 0.0 0.0 1792 564 tty2 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty2 root 910 0.0 0.0 1792 568 tty3 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty3 root 913 0.0 0.0 1792 564 tty6 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty6 root 917 0.0 0.0 2180 1072 ? Ss 15:58 0:00 acpid -c /etc/acpi/events -s /var/run/acpid.socket daemon 924 0.0 0.0 2248 432 ? Ss 15:58 0:00 atd root 927 0.0 0.0 2376 900 ? Ss 15:58 0:00 cron root 950 0.0 0.0 11736 1372 ? Ss 15:58 0:00 /usr/sbin/winbindd root 958 0.0 0.0 11736 1184 ? S 15:58 0:00 /usr/sbin/winbindd root 974 0.0 0.1 6832 2580 ? Ss 15:58 0:00 /usr/sbin/cupsd -C /etc/cups/cupsd.conf root 1078 0.0 0.0 1792 564 tty1 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty1 gdm 1097 0.0 0.0 3392 772 ? S 15:58 0:00 /usr/bin/dbus-launch --exit-with-session root 1112 0.0 0.1 19216 3292 ? Sl 15:58 0:00 /usr/lib/gdm/gdm-session-worker root 1116 0.0 0.1 5540 2932 ? S 15:58 0:01 /usr/lib/upower/upowerd root 1131 0.0 0.1 6308 3824 ? S 15:58 0:00 /usr/lib/policykit-1/polkitd 108 1163 0.0 0.2 16788 4360 ? Ssl 15:58 0:01 /usr/sbin/hald root 1164 0.0 0.0 3536 1300 ? S 15:58 0:00 hald-runner root 1188 0.0 0.0 3612 1256 ? S 15:58 0:00 hald-addon-input: Listening on /dev/input/event6 /dev/input/event5 /dev/input/event2 root 1194 0.0 0.0 3612 1224 ? S 15:58 0:00 /usr/lib/hal/hald-addon-rfkill-killswitch root 1200 0.0 0.0 3608 1240 ? S 15:58 0:00 /usr/lib/hal/hald-addon-generic-backlight root 1202 0.0 0.0 3616 1236 ? S 15:58 0:02 hald-addon-storage: polling /dev/sr0 (every 2 sec) root 1204 0.0 0.0 3616 1236 ? S 15:58 0:00 hald-addon-storage: polling /dev/sdb (every 2 sec) root 1211 0.0 0.0 3624 1220 ? S 15:58 0:00 /usr/lib/hal/hald-addon-cpufreq 108 1212 0.0 0.0 3420 1200 ? S 15:58 0:00 hald-addon-acpi: listening on acpid socket /var/run/acpid.socket 1000 1222 0.0 0.1 24196 2816 ? Sl 15:58 0:00 /usr/bin/gnome-keyring-daemon --daemonize --login 1000 1240 0.0 0.3 28228 7312 ? Ssl 15:58 0:00 gnome-session 1000 1274 0.0 0.0 3284 356 ? Ss 15:58 0:00 /usr/bin/ssh-agent /usr/bin/dbus-launch --exit-with-session gnome-session 1000 1277 0.0 0.0 3392 772 ? S 15:58 0:00 /usr/bin/dbus-launch --exit-with-session gnome-session 1000 1278 0.0 0.0 3160 1652 ? Ss 15:58 0:00 /bin/dbus-daemon --fork --print-pid 5 --print-address 7 --session 1000 1281 0.0 0.2 8172 4636 ? S 15:58 0:00 /usr/lib/libgconf2-4/gconfd-2 1000 1287 0.0 0.5 24228 10896 ? Ss 15:58 0:03 /usr/lib/gnome-settings-daemon/gnome-settings-daemon 1000 1290 0.0 0.1 6468 2364 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd 1000 1293 0.0 0.6 38104 13004 ? S 15:58 0:03 metacity 1000 1296 0.0 0.1 30280 2628 ? Ssl 15:58 0:00 /usr/lib/gvfs//gvfs-fuse-daemon /home/alexandros/.gvfs 1000 1301 0.0 0.0 3344 988 ? S 15:58 0:03 syndaemon -i 0.5 -k 1000 1303 0.0 0.1 8060 3488 ? S 15:58 0:00 /usr/lib/gvfs/gvfs-gdu-volume-monitor root 1306 0.0 0.1 15692 3104 ? Sl 15:58 0:00 /usr/lib/udisks/udisks-daemon 1000 1307 0.4 1.0 50748 21684 ? S 15:58 0:34 python -u /usr/share/screenlets/DigiClock/DigiClockScreenlet.py 1000 1308 0.0 0.9 35608 18564 ? S 15:58 0:00 python /usr/share/screenlets-manager/screenlets-daemon.py 1000 1309 0.0 0.3 19524 6468 ? S 15:58 0:00 /usr/lib/policykit-1-gnome/polkit-gnome-authentication-agent-1 1000 1311 0.0 0.5 37412 11788 ? S 15:58 0:01 gnome-power-manager 1000 1312 0.0 1.0 50772 22628 ? S 15:58 0:03 gnome-panel 1000 1313 0.1 1.5 102648 31184 ? Sl 15:58 0:10 nautilus root 1314 0.0 0.0 5188 996 ? S 15:58 0:02 udisks-daemon: polling /dev/sdb /dev/sr0 1000 1315 0.0 0.6 51948 12464 ? SL 15:58 0:01 nm-applet --sm-disable 1000 1317 0.0 0.1 16956 2364 ? Sl 15:58 0:00 /usr/lib/gvfs/gvfs-afc-volume-monitor 1000 1318 0.0 0.3 20164 7792 ? S 15:58 0:00 bluetooth-applet 1000 1321 0.0 0.1 7260 2384 ? S 15:58 0:00 /usr/lib/gvfs/gvfs-gphoto2-volume-monitor 1000 1323 0.0 0.5 37436 12124 ? S 15:58 0:00 /usr/lib/notify-osd/notify-osd 1000 1324 0.0 1.9 197928 40456 ? Ssl 15:58 0:06 /home/alexandros/.dropbox-dist/dropbox 1000 1329 0.0 0.3 20136 7968 ? S 15:58 0:00 /usr/bin/gnome-screensaver --no-daemon 1000 1331 0.0 0.1 7056 3112 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-trash --spawner :1.6 /org/gtk/gvfs/exec_spaw/0 root 1340 0.0 0.0 2236 1008 ? S 15:58 0:00 /sbin/dhclient -d -sf /usr/lib/NetworkManager/nm-dhcp-client.action -pf /var/run/dhcl 1000 1348 0.0 0.1 42252 3680 ? Ssl 15:58 0:00 /usr/lib/bonobo-activation/bonobo-activation-server --ac-activate --ior-output-fd=19 1000 1384 0.0 1.7 80244 35480 ? Sl 15:58 0:02 /usr/bin/python /usr/lib/deskbar-applet/deskbar-applet/deskbar-applet --oaf-activate- 1000 1388 0.0 0.5 26196 11804 ? S 15:58 0:01 /usr/lib/gnome-panel/wnck-applet --oaf-activate-iid=OAFIID:GNOME_Wncklet_Factory --oa 1000 1393 0.1 0.5 25876 11548 ? S 15:58 0:08 /usr/lib/gnome-applets/multiload-applet-2 --oaf-activate-iid=OAFIID:GNOME_MultiLoadAp 1000 1394 0.0 0.5 25600 11140 ? S 15:58 0:03 /usr/lib/gnome-applets/cpufreq-applet --oaf-activate-iid=OAFIID:GNOME_CPUFreqApplet_F 1000 1415 0.0 0.5 39192 11156 ? S 15:58 0:01 /usr/lib/gnome-power-manager/gnome-inhibit-applet --oaf-activate-iid=OAFIID:GNOME_Inh 1000 1417 0.0 0.7 53544 15488 ? Sl 15:58 0:00 /usr/lib/gnome-applets/mixer_applet2 --oaf-activate-iid=OAFIID:GNOME_MixerApplet_Fact 1000 1419 0.0 0.4 23816 9068 ? S 15:58 0:00 /usr/lib/gnome-panel/notification-area-applet --oaf-activate-iid=OAFIID:GNOME_Notific 1000 1488 0.0 0.3 20964 7548 ? S 15:58 0:00 /usr/lib/gnome-disk-utility/gdu-notification-daemon 1000 1490 0.0 0.1 6608 2484 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-burn --spawner :1.6 /org/gtk/gvfs/exec_spaw/1 1000 1510 0.0 0.1 6348 2084 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-metadata 1000 1531 0.0 0.3 19472 6616 ? S 15:58 0:00 /usr/lib/gnome-user-share/gnome-user-share 1000 1535 0.0 0.4 77128 8392 ? Sl 15:58 0:00 /usr/lib/evolution/evolution-data-server-2.28 --oaf-activate-iid=OAFIID:GNOME_Evoluti 1000 1601 0.0 0.5 69576 11800 ? Sl 15:59 0:00 /usr/lib/evolution/2.28/evolution-alarm-notify 1000 1604 0.0 0.7 33924 15888 ? S 15:59 0:00 python /usr/share/system-config-printer/applet.py 1000 1701 0.0 0.5 37116 11968 ? S 15:59 0:00 update-notifier 1000 1892 4.5 7.0 406720 145312 ? Sl 17:11 3:09 /opt/google/chrome/chrome 1000 1896 0.0 0.1 69812 3680 ? S 17:11 0:02 /opt/google/chrome/chrome 1000 1898 0.0 0.6 91420 14080 ? S 17:11 0:00 /opt/google/chrome/chrome --type=zygote 1000 1916 0.2 1.3 140780 27220 ? Sl 17:11 0:12 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1918 0.7 1.8 155720 37912 ? Sl 17:11 0:31 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1921 0.0 1.0 135904 21052 ? Sl 17:11 0:02 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1927 6.5 3.6 194604 74960 ? Sl 17:11 4:32 /opt/google/chrome/chrome --type=renderer --disable-client-side-phishing-detection -- 1000 2156 0.4 0.7 48344 14896 ? Rl 18:03 0:04 gnome-terminal 1000 2157 0.0 0.0 1988 712 ? S 18:03 0:00 gnome-pty-helper 1000 2158 0.0 0.1 6504 3860 pts/0 Ss 18:03 0:00 bash 1000 2564 0.2 0.1 6624 3984 pts/1 Ss+ 18:17 0:00 bash 1000 2711 0.0 0.0 4208 1352 ? S 18:19 0:00 /bin/bash /home/alexandros/Programme/TeamSpeak3-Client-linux_x86_back/ts3client_runsc 1000 2714 36.5 1.5 210872 31960 ? SLl 18:19 0:18 ./ts3client_linux_x86 1000 2743 0.0 0.0 2716 1068 pts/0 R+ 18:20 0:00 ps aux Output of vmstat: alexandros@alexandros-laptop:~$ vmstat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 0 0 1093324 69840 449496 0 0 27 10 476 667 6 2 91 1 Output of lsusb alexandros@alexandros-laptop:~$ lspci 00:00.0 Host bridge: Silicon Integrated Systems [SiS] 671MX 00:01.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:02.0 ISA bridge: Silicon Integrated Systems [SiS] SiS968 [MuTIOL Media IO] (rev 01) 00:02.5 IDE interface: Silicon Integrated Systems [SiS] 5513 [IDE] (rev 01) 00:03.0 USB Controller: Silicon Integrated Systems [SiS] USB 1.1 Controller (rev 0f) 00:03.1 USB Controller: Silicon Integrated Systems [SiS] USB 1.1 Controller (rev 0f) 00:03.3 USB Controller: Silicon Integrated Systems [SiS] USB 2.0 Controller 00:05.0 IDE interface: Silicon Integrated Systems [SiS] SATA Controller / IDE mode (rev 03) 00:06.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:07.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:0d.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL-8139/8139C/8139C+ (rev 10) 00:0f.0 Audio device: Silicon Integrated Systems [SiS] Azalia Audio Controller 01:00.0 VGA compatible controller: ATI Technologies Inc Mobility Radeon X2300 02:00.0 Ethernet controller: Atheros Communications Inc. AR5001 Wireless Network Adapter (rev 01) The Team Speak log file : 2011-06-19 19:04:04.223522|INFO | | | Logging started, clientlib version: 3.0.0-rc2 [Build: 14642] 2011-06-19 19:04:04.761149|ERROR |SoundBckndIntf| | /home/alexandros/Programme/TeamSpeak3-Client-linux_x86_back/soundbackends/libpulseaudio_linux_x86.so error: NOT_CONNECTED 2011-06-19 19:04:05.871770|INFO |ClientUI | | Failed to init text to speech engine 2011-06-19 19:04:05.894623|INFO |ClientUI | | TeamSpeak 3 client version: 3.0.0-rc2 [Build: 14642] 2011-06-19 19:04:05.895421|INFO |ClientUI | | Qt version: 4.7.2 2011-06-19 19:04:05.895571|INFO |ClientUI | | Using configuration location: /home/alexandros/.ts3client/ts3clientui_qt.conf 2011-06-19 19:04:06.559596|INFO |ClientUI | | Last update check was: Sa. Jun 18 00:08:43 2011 2011-06-19 19:04:06.560506|INFO | | | Checking for updates... 2011-06-19 19:04:07.357869|INFO | | | Update check, my version: 14642, latest version: 14642 2011-06-19 19:05:52.978481|INFO |PreProSpeex | 1| Speex version: 1.2rc1 2011-06-19 19:05:54.055347|INFO |UIHelpers | | setClientVolumeModifier: 10 -8 2011-06-19 19:05:54.057196|INFO |UIHelpers | | setClientVolumeModifier: 11 2 Thanks for taking the time to read my message. UPDATE: Thanks to nickguletskii's link I googled for "alsa cpu usage" (without quotes) and it brought me to a forum. A user wrote that by directly selecting the hardware with "plughw:x.x" won't impact the performance of the system. I have selected it in the TS 3 configuration and it worked. But this solution is not optimal because now no other program can access the sound output. If you need any further information or my question is unclear than please tell me.

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• Have you really fixed that problem?

  - by DavidWimbush

  The day before yesterday I saw our main live server's CPU go up to constantly 100% with just the occasional short drop to a lower level. The exact opposite of what you'd want to see. We're log shipping every 15 minutes and part of that involves calling WinRAR to compress the log backups before copying them over. (We're on SQL2005 so there's no native compression and we have bandwidth issues with the connection to our remote site.) I realised the log shipping jobs were taking about 10 minutes and that most of that was spent shipping a 'live' reporting database that is completely rebuilt every 20 minutes. (I'm just trying to keep this stuff alive until I can improve it.) We can rebuild this database in minutes if we have to fail over so I disabled log shipping of that database. The log shipping went down to less than 2 minutes and I went off to the SQL Social evening in London feeling quite pleased with myself. It was a great evening - fun, educational and thought-provoking. Thanks to Simon Sabin & co for laying that on, and thanks too to the guests for making the effort when they must have been pretty worn out after doing DevWeek all day first. The next morning I came down to earth with a bump: CPU still at 100%. WTF? I looked in the activity monitor but it was confusing because some sessions have been running for a long time so it's not a good guide what's using the CPU now. I tried the standard reports showing queries by CPU (average and total) but they only show the top 10 so they just show my big overnight archiving and data cleaning stuff. But the Profiler showed it was four queries used by our new website usage tracking system. Four simple indexes later the CPU was back where it should be: about 20% with occasional short spikes. So the moral is: even when you're convinced you've found the cause and fixed the problem, you HAVE to go back and confirm that the problem has gone. And, yes, I have checked the CPU again today and it's still looking sweet.

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• Data Generator Source Adapter

  This component needs little explanation. It generates random integer (DT_I4) and string (DT_WSTR) data and places them in the pipeline. You specify how many columns of each you would like and for any string columns you pass a fixed length value. You then need to specify how many rows in total you require to be generated. This component is used by us to do testing of the pipeline and components downstream. Previously we would have used a script component (as a source) to generate the rows but found ourselves rewriting the code too often so created this component. Screenshots SQL Server 2005 Integration Services SQL Server 2008/2012 Integration Services The component is provided as an MSI file, however to complete the installation, you will have to add the transformation to the Visual Studio toolbox manually. Right-click the toolbox, and select Choose Items.... Select the SSIS Data Flow Items tab, and then check the Data Generator Source from the list. Downloads The Data Generator Source Adapter is available for SQL Server 2005, SQL Server 2008 (includes R2) and SQL Server 2012. Please choose the version to match your SQL Server version, or you can install multiple versions and use them side by side if you have more than one version of SQL Server installed. Data Generator Source Adapter for SQL Server 2005 Data Generator Source Adapter for SQL Server 2008 Data Generator Source Adapter for SQL Server 2012 Version History SQL Server 2012 Version 3.0.0.30 - SQL Server 2012 release. Includes upgrade support for both 2005 and 2008 packages to 2012. (5 Jun 2012) SQL Server 2008 Version 2.0.0.29 - SQL Server 2008 February 2008 CTP. Includes support for upgrade of 2005 packages. Simplified user interface. (4 Mar 2008) Version 2.0.0.27 - SQL Server 2008 November 2007 CTP. String columns will now use the default system code page. Previously string columns always used 1252. (15 Feb 2008) SQL Server 2005 Version 1.1.0.23 - SQL Server 2005 RTM Refresh. SP1 Compatibility Testing. (12 Jun 2006) Version 1.0.0.0 - SQL Server 2005 IDW 16 Sept CTP. Public release. (6 Oct 2005)

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• Data Governance (Veri Yönetisimi)

  - by Arda Eralp

  Data governance,veri ile ilgili islemler için bir sorumluluklar sistemidir. Bu sistemin temelini ise politikalar, standartlar ve prosedürler olusturur. Sistem politikalar, standartlar ve prosedürler sayesinde verinin ne zaman, hangi sartlar altinda, hangi eylemlerde, hangi yöntemler ile kimler tarafindan kullanilacagina karar verir. Sistemin kurumda basarili bir sekilde islemesi için öncelikle kurumda farkindalik saglanmasi gereklidir. Farkindalik saglandiktan sonra ise kurum governance ve mimari kültürünü benimsemelidir. Ancak bu sartlar altinda sistem basarili bir sekilde isleyebilecektir. Bu sebeplerden dolayidir ki data governance kisa bir süreç degil, aksine kurum varligini sürdürdügü sürece isleyecek olan bir süreçtir. Bu durum bize data governance in bir proje degil bir program oldugunu açiklamaktadir. Programin baslangicinda kurumun ihtiyaçlarinin netlesmesi ve farkindaligin saglanmasi temeldir. Hedef kitle ise, veri ile dogrudan ve ya dolayli olarak iliski içerisinde olan herkesdir. Bu sebeple programin baslangicinda hedef kitleyi içeren ekipler ile toplantilar düzenlenecektir. Bu toplantilar sayesinde hem farkindalik saglanacak hemde ekiplerin ihtiyaçlari birebir ekipler tarafindan aktarilarak netlesecektir. Hedef kitlenin ihtiyaçlari netlestirildikten sonra ise devamli isleyecek olan bu sürecin planlamasi yapilacaktir. Bu sürecin planlanmasinda ihtiyaçlarin önceliklendirilmesi gerekmektedir. Sebebi ise her ekibin ihtiyaçlarinin farkli olabilecegi ve bütün ihtiyaçlara ayni anda karsilik verilemeyebileceginin öngörülmesidir. Bu öngörünün temeli ise ekiplerin ihtiyaçlarinin birbirleriyle olan baglantisidir. Süreç planlamasinda ihtiyaçlarin önceliklendirilmesinin ardindan kurumun büyüklügünün gözönünde bulundurulmasi gerekmedir. Kurumun büyüklügünün önemi ise eger kurum bir bütün olarak ayni anda govern edilemeyecek kadar büyük ise ihtiyaçlari öncelikli olarak bulunan ekipler ile govern edilmesine baslanarak sürecin belirli bir hiz ile bütün kurumda isler hale getirilmesini saglamaktir. Ihtiyaçlar belirlendikten ve ilgili ekipler seçildikten sonra artik programin planlanmasina geçilebilecek. Programin planlama asamasinda öncelikli olarak sürecin asamalarini kontrol edecek ve süreç kurum içerisinde isleyise geçtiginde kontrolü saglayacak olan Data Governance Office in planlanmasidir. Office in planlanmasiyla birlikte süreçteki roller ve bu rollerin sorumluluklari belirlenecektir. Planlama asamasinda Data governance office, roller ve sorumluluklar, güvenlik ve veri saklanan sistemler ele alinacak konulardir. Planlama asamasi tamamlandiginda ise belirlenen ekipler ve ihtiyaçlar dogrultusunda programin isleyis asamasina geçilebilecektir. Isleyis kisminda ekibin ihtiyaçlari dogrultusunda güvenlik konusunda ve veri saklanan sistemler üzerinde çalismalar yapilacaktir. Bu yapilan çalismalar bir süreç olarak dökümante edilecek ve süreç sona erdiginde baska bir ekiple baska bir ihtiyaç dogrultusunda çalisma yapilarak ayni süreç isletilecek ve böylece kurum içesinde ilgili süreçte standartlasma saglanacaktir. Güvenlik konusunda verinin erisim güvenligi ve kullanim güvenligi ele alinacaktir. Veri saklanan sistemler üzerindeki çalismalar ise saklanan sistemlerin program dahilinde belirlenen standartlar ile olusturulmasi ve yönetilmesi saglanacaktir. Isleyis kisminin ardindan ise programin izleme kismina geçilecektir. Bu kisimda artik Data Governance Office olusmus, politikalar, standartlar ve prosedürler belirlenmistir. Ve Data Governance Office çalisanlari rolleri ve sorumluluklari dahilinde programin isleyisini izleyecek ve gerek gördügünde politikalar standartlar ve prosedürler üzerinde degisiklikler yapacaklardir.

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• Strategy for avoiding duplicate object ids for data shared across devices using iCloud

  - by rmaddy

  I have a data intensive iOS app that is not using CoreData nor does it support iCloud synching (yet). All of my objects are created with unique keys. I use a simple long long initialized with the current time. Then as I need a new key I increment the value by 1. This has all worked well for a few years with the app running isolated on a single device. Now I want to add support for automatic data sync across devices using iCloud. As my app is written, there is the possibility that two objects created on two different devices could end up with the same key. I need to avoid this possibility. I'm looking for ideas for solving this issue. I have a few requirements that the solution must meet: 1) The key needs to remain a single integral data type. Converting all existing keys to a compound key or to a string or other type would affect the entire code base and likely result in more bugs than it's worth. 2) The solution can't depend on an Internet connection. A user must be able to run the app and add data even with no Internet connection. The data should still resolve properly later when the data syncs through iCloud once a connection is available. I'll accept one exception to this rule. If no other option is available, I may be open to requiring an Internet connection the first time the app's data is initialized. One idea I have been toying around with in my head is logically splitting the integer key into two parts. The high 4 or 5 bits could be used as some sort of device id while the rest represents the actual key. The fuzzy part is figuring out how to come up with non-conflicting device ids that fit in a few bits. This should be viable since I don't need to deal will millions of devices. I just need to deal with the few devices that would be shared by a given iCloud account. I'm open to suggestions. Thanks.

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• Setting Up Data And Log Files For SQL Server

  Normal 0 ... [Read Full Article]

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• Retrieving Data from an Audit Table

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• Of these 3 methods for reading linked lists from shared memory, why is the 3rd fastest?

  - by Joseph Garvin

  I have a 'server' program that updates many linked lists in shared memory in response to external events. I want client programs to notice an update on any of the lists as quickly as possible (lowest latency). The server marks a linked list's node's state_ as FILLED once its data is filled in and its next pointer has been set to a valid location. Until then, its state_ is NOT_FILLED_YET. I am using memory barriers to make sure that clients don't see the state_ as FILLED before the data within is actually ready (and it seems to work, I never see corrupt data). Also, state_ is volatile to be sure the compiler doesn't lift the client's checking of it out of loops. Keeping the server code exactly the same, I've come up with 3 different methods for the client to scan the linked lists for changes. The question is: Why is the 3rd method fastest? Method 1: Round robin over all the linked lists (called 'channels') continuously, looking to see if any nodes have changed to 'FILLED': void method_one() { std::vector<Data*> channel_cursors; for(ChannelList::iterator i = channel_list.begin(); i != channel_list.end(); ++i) { Data* current_item = static_cast<Data*>(i->get(segment)->tail_.get(segment)); channel_cursors.push_back(current_item); } while(true) { for(std::size_t i = 0; i < channel_list.size(); ++i) { Data* current_item = channel_cursors[i]; ACQUIRE_MEMORY_BARRIER; if(current_item->state_ == NOT_FILLED_YET) { continue; } log_latency(current_item->tv_sec_, current_item->tv_usec_); channel_cursors[i] = static_cast<Data*>(current_item->next_.get(segment)); } } } Method 1 gave very low latency when then number of channels was small. But when the number of channels grew (250K+) it became very slow because of looping over all the channels. So I tried... Method 2: Give each linked list an ID. Keep a separate 'update list' to the side. Every time one of the linked lists is updated, push its ID on to the update list. Now we just need to monitor the single update list, and check the IDs we get from it. void method_two() { std::vector<Data*> channel_cursors; for(ChannelList::iterator i = channel_list.begin(); i != channel_list.end(); ++i) { Data* current_item = static_cast<Data*>(i->get(segment)->tail_.get(segment)); channel_cursors.push_back(current_item); } UpdateID* update_cursor = static_cast<UpdateID*>(update_channel.tail_.get(segment)); while(true) { if(update_cursor->state_ == NOT_FILLED_YET) { continue; } ::uint32_t update_id = update_cursor->list_id_; Data* current_item = channel_cursors[update_id]; if(current_item->state_ == NOT_FILLED_YET) { std::cerr << "This should never print." << std::endl; // it doesn't continue; } log_latency(current_item->tv_sec_, current_item->tv_usec_); channel_cursors[update_id] = static_cast<Data*>(current_item->next_.get(segment)); update_cursor = static_cast<UpdateID*>(update_cursor->next_.get(segment)); } } Method 2 gave TERRIBLE latency. Whereas Method 1 might give under 10us latency, Method 2 would inexplicably often given 8ms latency! Using gettimeofday it appears that the change in update_cursor-state_ was very slow to propogate from the server's view to the client's (I'm on a multicore box, so I assume the delay is due to cache). So I tried a hybrid approach... Method 3: Keep the update list. But loop over all the channels continuously, and within each iteration check if the update list has updated. If it has, go with the number pushed onto it. If it hasn't, check the channel we've currently iterated to. void method_three() { std::vector<Data*> channel_cursors; for(ChannelList::iterator i = channel_list.begin(); i != channel_list.end(); ++i) { Data* current_item = static_cast<Data*>(i->get(segment)->tail_.get(segment)); channel_cursors.push_back(current_item); } UpdateID* update_cursor = static_cast<UpdateID*>(update_channel.tail_.get(segment)); while(true) { for(std::size_t i = 0; i < channel_list.size(); ++i) { std::size_t idx = i; ACQUIRE_MEMORY_BARRIER; if(update_cursor->state_ != NOT_FILLED_YET) { //std::cerr << "Found via update" << std::endl; i--; idx = update_cursor->list_id_; update_cursor = static_cast<UpdateID*>(update_cursor->next_.get(segment)); } Data* current_item = channel_cursors[idx]; ACQUIRE_MEMORY_BARRIER; if(current_item->state_ == NOT_FILLED_YET) { continue; } found_an_update = true; log_latency(current_item->tv_sec_, current_item->tv_usec_); channel_cursors[idx] = static_cast<Data*>(current_item->next_.get(segment)); } } } The latency of this method was as good as Method 1, but scaled to large numbers of channels. The problem is, I have no clue why. Just to throw a wrench in things: if I uncomment the 'found via update' part, it prints between EVERY LATENCY LOG MESSAGE. Which means things are only ever found on the update list! So I don't understand how this method can be faster than method 2. The full, compilable code (requires GCC and boost-1.41) that generates random strings as test data is at: http://pastebin.com/e3HuL0nr

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• Php pdo_dblib - cannot find/unable to load freetds

  - by MaxPowers

  Self-hosted box, RHEL 6 PHP 5.3.3 PDO installed freetds installed pdo_dblib - so far no luck installing My goal is to use PDO with sybase. Attempting to install pdo_dblib from the appropriate version php source code. I have tried a variety of methods and searched quite a bit for help on this topic, but have yet to be successful. Method 1 Install freetds $ ./configure $ make $ su root Password: $ make install This is successful Install pdo_dblib inside the /ext/pdo_dblib folder: $ phpize $ ./configure $ make $ make test Error output: PHP Warning: PHP Startup: Unable to load dynamic library '/home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so' - /home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so: undefined symbol: php_pdo_register_driver in Unknown on line 0 Warning: PHP Startup: Unable to load dynamic library '/home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so' - /home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so: undefined symbol: php_pdo_register_driver in Unknown on line 0 PHP Warning: PHP Startup: Unable to load dynamic library '/home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so' - /home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so: undefined symbol: php_pdo_register_driver in Unknown on line 0 Warning: PHP Startup: Unable to load dynamic library '/home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so' - /home/sybase/Install_items/php_533_src/php-5.3.3/ext/pdo_dblib/modules/pdo_dblib.so: undefined symbol: php_pdo_register_driver in Unknown on line 0 That doesn't look good...I researched this and found an interesting hack for this here. But changing pdo.ini to pdo_0.ini was not the solution, as I still got the same errors on make test. $ su $ make install Output: Installing shared extensions: /usr/lib64/php/modules/ That seems strange...and no, it doesn't actually install (not showing up on phpinfo after apache restart). Method 2 Install freetds following the instructions exactly, i add the prefix $ ./configure --prefix=/usr/local/freetds $ make $ su root Password: $ make install This is successful Install pdo_dblib inside the /ext/pdo_dblib folder: $ phpize $ ./configure --with-sybase=/usr/local/freetds This produces the following error at the bottom of the output ... checking for PDO_DBLIB support via FreeTDS... yes, shared configure: error: Cannot find FreeTDS in known installation directories Method 3 freetds ./configure variation (including or not include the --prefix...) did not change the result of this so I'll skip it. Install pdo_dblib pecl extension following the method specified here. pecl download pdo_dblib tar -xzvf PDO_DBLIB-1.0.tgz Removed the line, <dep type=”ext” rel=”ge” version=”1.0?>pdo</dep> Saved the package.xml file, and moved it in to the PDO_DBLIB directory. mv package.xml ./PDO_DBLIB-1.0 Navigated to the PDO_DBLIB directory, then installed the package from the directory. cd ./PDO_DBLIB-1.0 pecl install package.xml But, this command gives me the following error output, same as Method 2. checking for PDO_DBLIB support via FreeTDS... yes, shared configure: error: Cannot find FreeTDS in known installation directories ERROR: `/home/sybase/Install_items/pecl_pdo_dblib/PDO_DBLIB-1.0/configure' failed

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• OS X Snow Leopard 10.6 Refuses to Load Websites the first time intermittently

  - by Brandon

  Many times when I am browsing the web, Snow Leopard will sit and load a site for 20 seconds or more, until it times out and says it cannot be displayed. If I refresh, it loads RIGHT away, every time. The issue is intermittent but happens from once every couple of days to a few times a day. So the long and short of it is this: Aluminum MacBook (Non-Pro) 2.4GHz Core2Duo, 4GB DDR3 I am using 10.6.6 but I have had this issue since 10.6.0 It happens in Firefox, Chrome, and Safari I have flushed my DNS (using the command 'blablabla flush') I am using custom DNS servers which I hoped would fix it but it had no effect* I am running Apache currently but haven't been for most of the time I've reformatted multiple times, always experiencing the issue I am on Cox cable internet, with a Motorola Surfboard & a Belkin F6D4230-4 v1 (Pre?) N wireless router. I've put the router in G only & N only & G+N to no effect It seems to be domain dependant as I can sometimes load the Google cache right away, and sometimes other sites will load but Google will refuse My Powerbook G4 with Leopard, other Windows XP laptops, & my wired Win7 desktop do not suffer from the issue. *I recently started using these to escape the awful Cox redirect page on timeouts I'm almost positive the issue has happened on other networks but I can't recall a specific instance (I have a terrible memory). The problem is intermittent and fixable enough (I just have to wait until it times out and hit refresh one time) but incredibly annoying since I'm constantly reading documentation from a large variety of sites. EDIT: To clarify, this happens with ALL sites, not only specific sites. I haven't been able to detect any pattern to the failures, but one day Google.com will refuse to load while reddit.com will, and the next day vice versa. Keep in mind that waiting for a timeout and hitting refresh loads the page right away, every time. If I don't wait for the timeout, opening more links, hitting refresh, and clicking the link a billion times have no effect. It seems to be domain neutral, affecting sites seemingly at random. It doesn't seem to have anything to do with connection inactivity either, because I will be SSHed into different servers, uploading files, browsing, downloading, etc, and it will just quit loading Jquery.com (for example) until I sit and wait for a timeout. /EDIT This is my last resort. Please, someone, tell me what is happening. Thank you.

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• Load ModernUI but also preload desktop on background

  - by l0l0l0l0l

  Login Windows load modern UI Only when I click on the "Desktop" tile shortcut that my desktop is really loaded, it take a few seconds to open everything (like rainmeter and other things) How can I make windows load both modern UI and my desktop on the background? I don't want to skip the modern UI just autoload the desktop. Similar to add something.exe to the startup, but what executable should I use? I've tried explorer.exe but didn't work.

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• DNS with Amazon EC2 Elastic Load Balancer

  - by user68173

  I'm told that I can't make the root of a domain (example.com) a CNAME - I have to specify an IP. Given that you can't use an IP address to point at your Elastic Load Balancer, what's the best thing to do? Currently I do this: example.com - A record to elastic IP of first server- redirects to www.example.com www.example.com CNAME to hostname of load balancer If the first server is out of action, the redirect will fail. Is there a better way to approach this?

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• Sever 2008R2 404 - cannot load basic HTML file

  - by user66827

  Hello, I have a fresh Server 2008 R2 installation that cannot load a basic HTML or ASP file. I can however load .jpg and .gif images, so I know the file paths are setup correctly. ModuleName IIS Web Core Notification 16 HttpStatus 404 HttpReason Not Found HttpSubStatus 0 ErrorCode 2147942402 ConfigExceptionInfo Notification MAP_REQUEST_HANDLER ErrorCode The system cannot find the file specified. (0x80070002) Not sure what this is, any ideas?

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• Running multiple FCGI/Django on Nginx for load sharing

  - by Barry

  I am running a web-service on Nginx/FastCGI/Django. Our processing time is fairly long and CPU intensive and I would like to be able to run multiple processes of Django/FastCGI to share the load. How do I set Nginx to rout requests from a single source to multiple instances of Django/FastCGI? (I can run the multiple instances on multiple ports/sockets, but I don't know how to make Nginx share the processing load between them.) Any help much appreciated.

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• CPU Benchmark - Set Load, usage spikes

  - by iulianchira

  I need a CPU benchmark to test the performance impact of various power management policies. I must be able to set the load (e.g. to get a relatively steady load of 20%-30%-60%) and to simulate usage spikes (set frequency of spikes). I would also like it to be scriptable so as to be able to change benchmark settings in an indirect manner.

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• How to generate a fake load on linux server for testing oracle R12 application

  - by Muahmmad Zeeshan

  Hi, I want to know how to generate a fake load on linux server for testing purpose. We have to get a new server. Before finalizing it we have to test it by generating a fake load so that it can fulfill our future needs. Is there any software or utility for this purpose. Thank You regards

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• Use a slot-load drive with smaller disc

  - by Joel Coehoorn

  I have a laptop with a slot-load (no tray) dvd drive, and a set of smaller discs from a dvd video camera I need to load. What are my options?

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• Windows Phone 7 Emulator is very long to load

  - by Frederick Marcoux

  I have the Windows Phone 7.1 SDK on my computer with Visual Studio 2010 Ultimate. I have developped an application but when I want to start it in emulator, it takes about 2 hours to load it, and it's just the O/S! The application isn't started! Is there a way to view the Task Managerof Windows Phone to know why it doesn't load? Specs: Intel Core 2 Duo 3.0Ghz VT-x 2GB of DDR2 RAM (800Mhz) Windows 7 Professionnal SP1 64-bit

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• Providing a static IP for resources behind AWS Elastic Load Balancer (ELB)

  - by tharrison

  I need a static IP address that handles SSL traffic from a known source (a partner). Our servers are behind an AWS Elastic Load Balancer (ELB), which cannot provide a static IP address; many threads about this here. My thought is to create an instance in EC2 whose sole purpose in life is to be a reverse proxy server having it's own IP address; accepting HTTPS requests and forwarding them to the load balancer. Are there better solutions?

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