Search Results

Search found 80052 results on 3203 pages for 'data load performance'.

Page 330/3203 | < Previous Page | 326 327 328 329 330 331 332 333 334 335 336 337  | Next Page >

  • SSRS Parameters and MDX Data Sets

    - by blakmk
    Having spent the past few weeks creating reports and dashboards in SSRS and SSAS 2008, I was frustrated by how difficult it is to use custom datasets to generate parameter drill downs. It also seems Reporting Services can be quite unforgiving when it comes to renaming things like datasets, so I want to share a couple of techniques that I found useful. One of the things I regularly do is to add parameters to the querys. However doing this causes Reporting Services to generate a hidden dataset and parameter name for you. One of the things I like to do is tweak these hidden datasets removing the ‘ALL’ level which is a tip I picked up from Devin Knight in his blog: There are some rules i’ve developed for myself since working with SSRS and MDX, they may not be the best or only way but they work for me. Rule 1 – Never trust the automatically generated hidden datasets Or even ANY, automatically generated MDX queries for that matter.... I’ve previously blogged about this here.   If you examine the MDX generated in the hidden dataset you will see that it generates the MDX in the context of the originiating query by building a subcube, this mean it may NOT be appropriate to use this in a subsequent query which has a different context. Make sure you always understand what is going on. Often when i’m developing a dashboard or a report there are several parameter oriented datasets that I like to manually create. It can be that I have different datasets using the same dimension but in a different context. One example of this, is that I often use a dataset for last month and a dataset for the last 6 months. Both use the same date hierarchy. However Reporting Services seems not to be too smart when it comes to generating unique datasets when working with and renaming parameters and datasets. Very often I have come across this error when it comes to refactoring parameter names and default datasets. "an item with the same key has already been added" The only way I’ve found to reliably avoid this is to obey to rule 2. Rule 2 – Follow this sequence when it comes to working with Parameters and DataSets: 1.    Create Lookup and Default Datasets in advance 2.    Create parameters (set the datasets for available and default values) 3.    Go into query and tick parameter check box 4.    On dataset properties screen, select the parameter defined earlier from the parameter value defined earlier. Rule 3 – Dont tear your hair out when you have just renamed objects and your report doesn’t build Just use XML notepad on the original report file. I found I gained a good understanding of the structure of the underlying XML document just by using XML notepad. From this you can do a search and find references of the missing object. You can also just do a wholesale search and replace (after taking a backup copy of course ;-) So I hope the above help to save the sanity of anyone who regularly works with SSRS and MDX.

    Read the article

  • Windows 7 System process reading/writing like crazy

    - by Mats Ekberg
    I have a problem that my windows 7 computer sometimes starts accessing the disk like crazy for maybe 10 minutes at a time. The process in question is the "system" process. I have disabled superfetch and hibernation on my computer, if that makes any difference. I disabled those to see if they were the cause of the problems, but no change. I have 6 GB of RAM and only the web browser was started when I took the screenshot, so I don't think it was thrashing due to page faults. Any ideas on how to find the cause of this?

    Read the article

  • SQL SERVER – SSIS Look Up Component – Cache Mode – Notes from the Field #028

    - by Pinal Dave
    [Notes from Pinal]: Lots of people think that SSIS is all about arranging various operations together in one logical flow. Well, the understanding is absolutely correct, but the implementation of the same is not as easy as it seems. Similarly most of the people think lookup component is just component which does look up for additional information and does not pay much attention to it. Due to the same reason they do not pay attention to the same and eventually get very bad performance. Linchpin People are database coaches and wellness experts for a data driven world. In this 28th episode of the Notes from the Fields series database expert Tim Mitchell (partner at Linchpin People) shares very interesting conversation related to how to write a good lookup component with Cache Mode. In SQL Server Integration Services, the lookup component is one of the most frequently used tools for data validation and completion.  The lookup component is provided as a means to virtually join one set of data to another to validate and/or retrieve missing values.  Properly configured, it is reliable and reasonably fast. Among the many settings available on the lookup component, one of the most critical is the cache mode.  This selection will determine whether and how the distinct lookup values are cached during package execution.  It is critical to know how cache modes affect the result of the lookup and the performance of the package, as choosing the wrong setting can lead to poorly performing packages, and in some cases, incorrect results. Full Cache The full cache mode setting is the default cache mode selection in the SSIS lookup transformation.  Like the name implies, full cache mode will cause the lookup transformation to retrieve and store in SSIS cache the entire set of data from the specified lookup location.  As a result, the data flow in which the lookup transformation resides will not start processing any data buffers until all of the rows from the lookup query have been cached in SSIS. The most commonly used cache mode is the full cache setting, and for good reason.  The full cache setting has the most practical applications, and should be considered the go-to cache setting when dealing with an untested set of data. With a moderately sized set of reference data, a lookup transformation using full cache mode usually performs well.  Full cache mode does not require multiple round trips to the database, since the entire reference result set is cached prior to data flow execution. There are a few potential gotchas to be aware of when using full cache mode.  First, you can see some performance issues – memory pressure in particular – when using full cache mode against large sets of reference data.  If the table you use for the lookup is very large (either deep or wide, or perhaps both), there’s going to be a performance cost associated with retrieving and caching all of that data.  Also, keep in mind that when doing a lookup on character data, full cache mode will always do a case-sensitive (and in some cases, space-sensitive) string comparison even if your database is set to a case-insensitive collation.  This is because the in-memory lookup uses a .NET string comparison (which is case- and space-sensitive) as opposed to a database string comparison (which may be case sensitive, depending on collation).  There’s a relatively easy workaround in which you can use the UPPER() or LOWER() function in the pipeline data and the reference data to ensure that case differences do not impact the success of your lookup operation.  Again, neither of these present a reason to avoid full cache mode, but should be used to determine whether full cache mode should be used in a given situation. Full cache mode is ideally useful when one or all of the following conditions exist: The size of the reference data set is small to moderately sized The size of the pipeline data set (the data you are comparing to the lookup table) is large, is unknown at design time, or is unpredictable Each distinct key value(s) in the pipeline data set is expected to be found multiple times in that set of data Partial Cache When using the partial cache setting, lookup values will still be cached, but only as each distinct value is encountered in the data flow.  Initially, each distinct value will be retrieved individually from the specified source, and then cached.  To be clear, this is a row-by-row lookup for each distinct key value(s). This is a less frequently used cache setting because it addresses a narrower set of scenarios.  Because each distinct key value(s) combination requires a relational round trip to the lookup source, performance can be an issue, especially with a large pipeline data set to be compared to the lookup data set.  If you have, for example, a million records from your pipeline data source, you have the potential for doing a million lookup queries against your lookup data source (depending on the number of distinct values in the key column(s)).  Therefore, one has to be keenly aware of the expected row count and value distribution of the pipeline data to safely use partial cache mode. Using partial cache mode is ideally suited for the conditions below: The size of the data in the pipeline (more specifically, the number of distinct key column) is relatively small The size of the lookup data is too large to effectively store in cache The lookup source is well indexed to allow for fast retrieval of row-by-row values No Cache As you might guess, selecting no cache mode will not add any values to the lookup cache in SSIS.  As a result, every single row in the pipeline data set will require a query against the lookup source.  Since no data is cached, it is possible to save a small amount of overhead in SSIS memory in cases where key values are not reused.  In the real world, I don’t see a lot of use of the no cache setting, but I can imagine some edge cases where it might be useful. As such, it’s critical to know your data before choosing this option.  Obviously, performance will be an issue with anything other than small sets of data, as the no cache setting requires row-by-row processing of all of the data in the pipeline. I would recommend considering the no cache mode only when all of the below conditions are true: The reference data set is too large to reasonably be loaded into SSIS memory The pipeline data set is small and is not expected to grow There are expected to be very few or no duplicates of the key values(s) in the pipeline data set (i.e., there would be no benefit from caching these values) Conclusion The cache mode, an often-overlooked setting on the SSIS lookup component, represents an important design decision in your SSIS data flow.  Choosing the right lookup cache mode directly impacts the fidelity of your results and the performance of package execution.  Know how this selection impacts your ETL loads, and you’ll end up with more reliable, faster packages. If you want me to take a look at your server and its settings, or if your server is facing any issue we can Fix Your SQL Server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: SSIS

    Read the article

  • Nginx + Haproxy + Thin + Rails - 503 Service Unavailable -

    - by Luca G. Soave
    I don't know how troubleshoot this. I get "503 Service Unavailable" http error for all "nginx upstreams" proxy passing calls to haproxy fast_thin and slow_thin ( server 127.0.0.1:3100 and server 127.0.0.1:3200 ), which loadbalance on 6 Thin servers ( 127.0.0.1:3000 .. 3005 ). Static files like /blog are currently fine. The falldown is: nginx on port 80 - haproxy on 3100 and 3200 - thin on 3000 .. 3005 and then Rails. Here it is /etc/nginx/nginx.conf : user nginx; worker_processes 2; pid /var/run/nginx.pid; events { worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; sendfile on; tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; include /etc/nginx/conf.d/*.conf; } then /etc/nginx/conf.d/default.conf upstream fast_thin { server 127.0.0.1:3100; } upstream slow_thin { server 127.0.0.1:3200; } server { listen 80; server_name www.gitwatcher.com; rewrite ^/(.*) http://gitwatcher.com/$1 permanent; } server { listen 80; server_name gitwatcher.com; access_log /var/www/gitwatcher/log/access.log; error_log /var/www/gitwatcher/log/error.log; root /var/www/gitwatcher/public; # index index.html; location /about { proxy_pass http://fast_thin; break; } location /trends { proxy_pass http://slow_thin; break; } location /categories { proxy_pass http://slow_thin; break; } location /signout { proxy_pass http://slow_thin; break; } location /auth/github { proxy_pass http://slow_thin; break; } location / { proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header Host $http_host; proxy_redirect off; if (-f $request_filename/index.html) { rewrite (.*) $1/index.html break; } if (-f $request_filename.html) { rewrite (.*) $1.html break; } if (!-f $request_filename) { proxy_pass http://slow_thin; break; } } } then haproxy config file /etc/haproxy/haproxy.cfg : global log 127.0.0.1 local0 log 127.0.0.1 local1 notice #log loghost local0 info maxconn 4096 #chroot /usr/share/haproxy user haproxy group haproxy daemon #debug #quiet nbproc 1 # number of processing cores defaults log global retries 3 maxconn 2000 contimeout 5000 mode http clitimeout 60000 # maximum inactivity time on the client side srvtimeout 30000 # maximum inactivity time on the server side timeout connect 4000 # maximum time to wait for a connection attempt to a server to succeed option httplog option dontlognull option redispatch option httpclose # disable keepalive (HAProxy does not yet support the HTTP keep-alive mode) option abortonclose # enable early dropping of aborted requests from pending queue option httpchk # enable HTTP protocol to check on servers health option forwardfor # enable insert of X-Forwarded-For headers balance roundrobin # each server is used in turns, according to assigned weight stats enable # enable web-stats at /haproxy?stats stats auth haproxy:pr0xystats # force HTTP Auth to view stats stats refresh 5s # refresh rate of stats page listen rails_proxy 127.0.0.1:3100 # - equal weights on all servers # - maxconn will queue requests at HAProxy if limit is reached # - minconn dynamically scales the connection concurrency (bound my maxconn) depending on size of HAProxy queue # - check health every 20000 microseconds server web1 127.0.0.1:3000 weight 1 minconn 3 maxconn 6 check inter 20000 server web1 127.0.0.1:3001 weight 1 minconn 3 maxconn 6 check inter 20000 server web1 127.0.0.1:3002 weight 1 minconn 3 maxconn 6 check inter 20000 listen slow_proxy 127.0.0.1:3200 # cluster for slow requests, lower the queues, check less frequently server slow1 127.0.0.1:3003 weight 1 minconn 1 maxconn 3 check inter 40000 server slow2 127.0.0.1:3004 weight 1 minconn 1 maxconn 3 check inter 40000 server slow3 127.0.0.1:3005 weight 1 minconn 1 maxconn 3 check inter 40000 and the Thin config file /etc/thin/gitwatcher.yml : --- chdir: /var/www/gitwatcher environment: production address: 0.0.0.0 port: 3000 timeout: 30 log: log/thin.log pid: tmp/pids/thin.pid max_conns: 1024 max_persistent_conns: 100 require: [] wait: 30 servers: 6 daemonize: true if I look into open listen ports, I got the following : root@fullness:/var/www/gitwatcher# lsof | grep TCP | egrep "nginx|haproxy|thin" nginx 834 root 8u IPv4 921 0t0 TCP *:http (LISTEN) nginx 835 nginx 8u IPv4 921 0t0 TCP *:http (LISTEN) nginx 837 nginx 8u IPv4 921 0t0 TCP *:http (LISTEN) haproxy 1908 haproxy 4u IPv4 11699 0t0 TCP localhost:3100 (LISTEN) haproxy 1908 haproxy 6u IPv4 11701 0t0 TCP localhost:3200 (LISTEN) root@fullness:/var/www/gitwatcher# iptables -L get me the following : Chain INPUT (policy DROP) target prot opt source destination ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT tcp -- anywhere anywhere tcp dpt:22222 ACCEPT tcp -- anywhere anywhere tcp dpt:http ACCEPT tcp -- anywhere anywhere tcp dpt:https ACCEPT all -- anywhere anywhere DROP all -- anywhere anywhere Chain FORWARD (policy ACCEPT) target prot opt source destination Chain OUTPUT (policy ACCEPT) target prot opt source destination ACCEPT all -- anywhere anywhere Any help ?

    Read the article

  • Postmaster uses excessive CPU and Disk Writes

    - by wolfcastle
    using PostgreSQL 9.1.2 I'm seeing excessive CPU usage and large amounts of writes to disk from postmaster tasks. This happens even while my application is doing almost nothing (10s of inserts per MINUTE). There are a reasonable number of connections open however. I've been trying to determine what in my application is causing this. I'm pretty newb with postgresql, and haven't gotten anywhere so far. I've turned on some logging options in my config file, and looked at connections in the pg_stat_activity table, but they are all idle. Yet each connection consumes ~ 50% CPU, and is writing ~15M/s to disk (reading nothing). I'm basically using the stock postgresql.conf with very little tweaks. I'd appreciate any advice or pointers on what I can do to track this down. Here is a sample of what top/iotop is showing me: Cpu(s): 18.9%us, 14.4%sy, 0.0%ni, 53.4%id, 11.8%wa, 0.0%hi, 1.5%si, 0.0%st Mem: 32865916k total, 7263720k used, 25602196k free, 575608k buffers Swap: 16777208k total, 0k used, 16777208k free, 4464212k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 17057 postgres 20 0 236m 33m 13m R 45.0 0.1 73:48.78 postmaster 17188 postgres 20 0 219m 15m 11m R 42.3 0.0 61:45.57 postmaster 17963 postgres 20 0 219m 16m 11m R 42.3 0.1 27:15.01 postmaster 17084 postgres 20 0 219m 15m 11m S 41.7 0.0 63:13.64 postmaster 17964 postgres 20 0 219m 17m 12m R 41.7 0.1 27:23.28 postmaster 18688 postgres 20 0 219m 15m 11m R 41.3 0.0 63:46.81 postmaster 17088 postgres 20 0 226m 24m 12m R 41.0 0.1 64:39.63 postmaster 24767 postgres 20 0 219m 17m 12m R 41.0 0.1 24:39.24 postmaster 18660 postgres 20 0 219m 14m 9.9m S 40.7 0.0 60:51.52 postmaster 18664 postgres 20 0 218m 15m 11m S 40.7 0.0 61:39.61 postmaster 17962 postgres 20 0 222m 19m 11m S 40.3 0.1 11:48.79 postmaster 18671 postgres 20 0 219m 14m 9m S 39.4 0.0 60:53.21 postmaster 26168 postgres 20 0 219m 15m 10m S 38.4 0.0 59:04.55 postmaster Total DISK READ: 0.00 B/s | Total DISK WRITE: 195.97 M/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO> COMMAND 17962 be/4 postgres 0.00 B/s 14.83 M/s 0.00 % 0.25 % postgres: aggw aggw [local] idle 17084 be/4 postgres 0.00 B/s 15.53 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17963 be/4 postgres 0.00 B/s 15.00 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17188 be/4 postgres 0.00 B/s 14.80 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17964 be/4 postgres 0.00 B/s 15.50 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 18664 be/4 postgres 0.00 B/s 15.13 M/s 0.00 % 0.23 % postgres: aggw aggw [local] idle 17088 be/4 postgres 0.00 B/s 14.71 M/s 0.00 % 0.13 % postgres: aggw aggw [local] idle 18688 be/4 postgres 0.00 B/s 14.72 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 24767 be/4 postgres 0.00 B/s 14.93 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 18671 be/4 postgres 0.00 B/s 16.14 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 17057 be/4 postgres 0.00 B/s 13.58 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 26168 be/4 postgres 0.00 B/s 15.50 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 18660 be/4 postgres 0.00 B/s 15.85 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle

    Read the article

  • Simple tool to graph memory usage?

    - by dbr
    Is there a script that will show memory usage as a graph, for example as a pie-chart, with each process being being a separate slice? I'm not looking for something like Munin to graph memory usage over time, but rather show the memory usage per-process at a single point in time. To make my request even more obscure, it is for a headless server (so no X applications). The simplest way would be to write a PNG file, or possibly an HTML file (which could use Javascript to allow the filtering of processes, changing between graph-types and so on)

    Read the article

  • Intel turbo boost - in reality

    - by gisek
    I have an Intel i7-3630QM processor in my laptop. Its speed is supposed to be from 2.4 to 3.4 GHz in turbo boost mode. In reality, will it ever run all cores on full speed (3.4GHz mentioned above) at the same time? I heard somewhere that this additional 1GHz is shared between all cores in laptops. If the boost is 1GHz per core it's pretty impressive (over 40% speed up). What does it really look like? How long can a processor run in turbo mode?

    Read the article

  • High Availability with 2 servers?

    - by Tom R
    Is it possible to have a high availability setup with 2 servers? Running Windows Web Server 2008 and MSSQL Web Edition (as I know Express isn't supported)? Getting to the point where our one dedicated server needs scaled out and going to a second server already more than doubles the cost as need to use Web Edition rather than Express (db is only 500MB).

    Read the article

  • I need an admin toolset for Windows 2003 and 2008

    - by eugeneK
    i know this is way too general question but anyway. I need few tools, will write down my tasks as sysadmin and if you have any to automate my job i would be glad to hear. I don't mind paying for software needed unless it is way too expensive. First of i backup all files on server at local/office storage. I 7zip all SQL backup files and then move them over network to centralized location and then FTP them from office PC which has no FTP server installed and cannot have one. Backups happen at 4AM at the morning thus i need to set time for compressing and afterward FTPing. Then i FTP all IIS web application as differentiation backup, same goes for VOD movies. Second tool i need is system monitor which will monitor all servers from themselves and from external location for CPU/Memory/Hard disk and other basic failures. This tool should able to execute Website address with parameters which will send me an email with all report on failure. Third tool i need is a way to get all Event Logs from 10 Windows based servers without accessing each any of them manually. If you know any solution, thanks in advance.

    Read the article

  • Big IP F5 outbound HTTP issues

    - by mbuk2k
    We've tried upgrading from 9.x to 10.2 on our F5 Big IP 3400 and everything went over fine apart from one thing. We're unable to establish any outbound HTTP (80) connections from any servers that are assigned to a virtual server. This is something that worked before and is required for certain calls our servers need to make. Interestingly HTTPS (443) connections work fine, it's literally just anything outbound over port 80 seems to fail. Does anyone know if anything has changed between 9.4 and 10.2 that would mean additional config would need to be made to allow for external HTTP connections? Any advice would be appreciated, thank you

    Read the article

  • AIX network parameters to close TCP sockets of unplugged devices

    - by ADD Geek
    Hi there We have an AIX box, running what we call in banking "ATM Switch" not the ATM networking switch, but the bank ATM driver. where we have some ATM machines connected to two server processes. The problem is, when we disconnect any of these machines, the netstat -na| grep <port number> command shows that the socket established for this disconnected device is still established, we have to manually send a command from the software to make the socket aware that it is not live anymore. Is there a parameter on tcp level to make this connection aware within a minute or two that this device is not connected anymore? we had the following parameters set with root privileges: no -o tcp_keepidle=1000 no -o tcp_keepcnt=2 no -o tcp_keepintvl=150 no -o tcp_finwait2=100 it was originally having the default values. but even after we changed these parameters and restarted the server processes, the problem was still there.

    Read the article

  • In the Cloud, Everything Costs Money

    - by BuckWoody
    I’ve been teaching my daughter about budgeting. I’ve explained that most of the time the money coming in is from only one or two sources – and you can only change that from time to time. The money going out, however, is to many locations, and it changes all the time. She’s made a simple debits and credits spreadsheet, and I’m having her research each part of the budget. Her eyes grow wide when she finds out everything has a cost – the house, gas for the lawnmower, dishes, water for showers, food, electricity to run the fridge, a new fridge when that one breaks, everything has a cost. She asked me “how do you pay for all this?” It’s a sentiment many adults have looking at their own budgets – and one reason that some folks don’t even make a budget. It’s hard to face up to the realities of how much it costs to do what we want to do. When we design a computing solution, it’s interesting to set up a similar budget, because we don’t always consider all of the costs associated with it. I’ve seen design sessions where the new software or servers are considered, but the “sunk” costs of personnel, networking, maintenance, increased storage, new sizes for backups and offsite storage and so on are not added in. They are already on premises, so they are assumed to be paid for already. When you move to a distributed architecture, you'll see more costs directly reflected. Store something, pay for that storage. If the system is deployed and no one is using it, you’re still paying for it. As you watch those costs rise, you might be tempted to think that a distributed architecture costs more than an on-premises one. And you might be right – for some solutions. I’ve worked with a few clients where moving to a distributed architecture doesn’t make financial sense – so we didn’t implement it. I still designed the system in a distributed fashion, however, so that when it does make sense there isn’t much re-architecting to do. In other cases, however, if you consider all of the on-premises costs and compare those accurately to operating a system in the cloud, the distributed system is much cheaper. Again, I never recommend that you take a “here-or-there-only” mentality – I think a hybrid distributed system is usually best – but each solution is different. There simply is no “one size fits all” to architecting a solution. As you design your solution, cost out each element. You might find that using a hybrid approach saves you money in one design and not in another. It’s a brave new world indeed. So yes, in the cloud, everything costs money. But an on-premises solution also costs money – it’s just that “dad” (the company) is paying for it and we don’t always see it. When we go out on our own in the cloud, we need to ensure that we consider all of the costs.

    Read the article

  • Highlight Word add-in for Visual Studio 2010 [SSDT]

    - by jamiet
    I’ve just been alerted by my colleague Kyle Harvie to a Visual Studio 2010 add-in that should prove very useful if you are an SSDT user. Its simply called Highlight all occurrences of selected word and does exactly what it says on the tin, you highlight a word and it shows all other occurrences of that word in your script: There’s a limitation for .sql files (which I have reported) where the highlighting doesn’t work if the word is wrapped in square brackets but what the heck, its free, it takes about ten seconds to install….install it already! @Jamiet

    Read the article

  • Microsoft Entourage/Exchange Server problem: all objects disappeared from server - still in some for

    - by splattne
    One of our employees works with Entourage on his MacBook Pro (OSX 10.6) accessing Exchange Server 2007. Last Friday morning, I think while working over a VPN, Entourage (I think it was Entourage) deleted all his objects (mail, calendar, contacts) on the server and while creating a lot of strange folders (starting with underscores) on the client. The local data seems to be there, but not in a consistent form. Since the user's mailbox is rather big, I suspect, that there was some kind of "move" operation which did not complete. I tried to export the data, but the export stops because of a corrupted object. Is there a tool or another way to export or retrieve the local data? Edit - FYI: we solved the problem getting his data from the previous night's backup.

    Read the article

  • Just to not to be ingnorant.

    - by atch
    Could anyone explain to me why is it that producers of processors claim that their processor can perform so many thousands (or millions) operations per second and yet typical program (Word, VS etc.) on my machine with 4GB, 3500hz starts with no less than 10sek. Have to mention that I've just formatted disk and tick any necessarry boxes to optimize my machine. So if for example outlook starts in 10 sek I wonder how many millions of operations have to be performed to run such program? Thanks

    Read the article

  • Install several lighttpd services in same server

    - by Pedro
    Hi, I'm running one videos streamming site using lighttpd, but at the moment the badwith of the server is at 50%, memory is ok, disks ok... But lighttpd is giving me timeouts. I think that if I had 2 or 3 lighttpd services running in the same machine I can solve this issue. How can I setup this? Regards, Pedro

    Read the article

  • Depends libntfs10 error while installing testdisk

    - by user260223
    I want to install testdisk to ubuntu 10.04 LTS but i'm getting an error. Any help? Here is the output: # sudo apt-get install testdisk Reading package lists... Done Building dependency tree Reading state information... Done Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet been created or been moved out of Incoming. The following information may help to resolve the situation: The following packages have unmet dependencies: testdisk: Depends: libntfs10 (>= 2.0.0) but it is not installable E: Broken packages I also tried: wget http://launchpadlibrarian.net/40386584/libntfs10_2.0.0-1ubuntu4_i386.deb; sudo dpkg -i *.deb And i get this error: dpkg: error processing libntfs10_2.0.0-1ubuntu4_i386.deb (--install): package architecture (i386) does not match system (amd64) Errors were encountered while processing: libntfs10_2.0.0-1ubuntu4_i386.deb

    Read the article

  • WCF Data Service Pipeline

    - by Daniel Cazzulino
    For documentation purposes, I just draw the following UML sequence diagrams for the “Astoria” pipeline, using Visual Studio 2010 Ultimate: For a single-entity (or non-batched) request, this is the sequence: For a batch request, this is the sequence instead: DataService component is your own DataService<T>-derived class, and DataService.ProcessingPipeline refers to its ProcessingPipeline property pipeline events.   /kzu

    Read the article

  • Proper Data Structure for Commentable Comments

    - by Wesley
    Been struggling with this on an architectural level. I have an object which can be commented on, let's call it a Post. Every post has a unique ID. Now I want to comment on that Post, and I can use ID as a foreign key, and each PostComment has an ItemID field which correlates to the Post. Since each Post has a unique ID, it is very easy to assign "Top Level" comments. When I comment on a comment however, I feel like I now need a PostCommentComment, which attaches to the ID of the PostComment. Since ID's are assigned sequentially, I can no longer simply use ItemID to differentiate where in the tree the comment is assigned. I.E. both a Post and a Post Comment might have an ID of '5', so my foreign key relationship is invalid. This seems like it could go on infinitely, with PostCommentCommentComment's etc... What's the best way to solve this? Should I have a field in the comment called "IsPostComment" or something of the like to know which collection to attach the ID to? This strikes me as the best solution I've seen so far, but now I feel like I need to make recursive DataBase calls which start to get expensive. Meaning, I get a Post and get all PostComments where ItemID == Post.ID && where IsPostComment == true Then I take that as a collection, gather all the ID's of the PostComments, and do another search where ItemID == PostComment[all].ID && where IsPostComment == false, then repeat infinitely. This means I make a call for every layer, and if I'm calling 100 Posts, I might make 1000 DB calls to get 10 layers of comments each. What is the right way to do this?

    Read the article

  • Removing Duplicate Data From SQL Query Output For Display On A Web Page [migrated]

    - by doubleJ
    I had asked a similar question on stackoverflow but didn't really get anywhere. This page shows the output that I'm currently getting from my MSSQL server. I have a table of venue information (name, address, etc...) that our events happen on. Separately, I have a table of the actual events that are scheduled (an event may happen multiple times in one day and/or over multiple days). I join those tables with this query: <?php try { $dbh = new PDO("sqlsrv:Server=localhost;Database=Sermons", "", ""); $dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION); $sql = "SELECT TOP (100) PERCENT dbo.TblSermon.Day, dbo.TblSermon.Date, dbo.TblSermon.Time, dbo.TblSermon.Speaker, dbo.TblSermon.Series, dbo.TblSermon.Sarasota, dbo.TblSermon.NonFlc, dbo.TblJoinSermonLocation.MeetingName, dbo.TblLocation.Location, dbo.TblLocation.Pastors, dbo.TblLocation.Address, dbo.TblLocation.City, dbo.TblLocation.State, dbo.TblLocation.Zip, dbo.TblLocation.Country, dbo.TblLocation.Phone, dbo.TblLocation.Email, dbo.TblLocation.WebAddress FROM dbo.TblLocation RIGHT OUTER JOIN dbo.TblJoinSermonLocation ON dbo.TblLocation.ID = dbo.TblJoinSermonLocation.Location RIGHT OUTER JOIN dbo.TblSermon ON dbo.TblJoinSermonLocation.Sermon = dbo.TblSermon.ID WHERE (dbo.TblSermon.Date >= { fn NOW() }) ORDER BY dbo.TblSermon.Date, dbo.TblSermon.Time"; $stmt = $dbh->prepare($sql); $stmt->execute(); $stmt->setFetchMode(PDO::FETCH_ASSOC); foreach ($stmt as $row) { echo "<pre>"; print_r($row); echo "</pre>"; } unset($row); $dbh = null; } catch(PDOException $e) { echo $e->getMessage(); } ?> So, as it loops through the query results, it creates an array for each record and ends up like this: Array ( [Day] => Tuesday [Date] => 2012-10-30 00:00:00.000 [Time] => 07:00 PM [Speaker] => Keith Moore [Location] => The Ark Church [Pastors] => Alan & Joy Clayton [Address] => 450 Humble Tank Rd. [City] => Conroe [State] => TX [Zip] => 77305.0 [Phone] => (936) 756-1988 [Email] => [email protected] [WebAddress] => http://www.thearkchurch.org ) Array ( [Day] => Wednesday [Date] => 2012-10-31 00:00:00.000 [Time] => 07:00 PM [Speaker] => Keith Moore [Location] => The Ark Church [Pastors] => Alan & Joy Clayton [Address] => 450 Humble Tank Rd. [City] => Conroe [State] => TX [Zip] => 77305.0 [Phone] => (936) 756-1988 [Email] => [email protected] [WebAddress] => http://www.thearkchurch.org ) Array ( [Day] => Tuesday [Date] => 2012-11-06 00:00:00.000 [Time] => 07:00 PM [Speaker] => Keith Moore [Location] => Fellowship Of Faith Christian Center [Pastors] => Michael & Joan Kalstrup [Address] => 18999 Hwy. 59 [City] => Oakland [State] => IA [Zip] => 51560.0 [Phone] => (712) 482-3455 [Email] => [email protected] [WebAddress] => http://www.fellowshipoffaith.cc ) Array ( [Day] => Wednesday [Date] => 2012-11-14 00:00:00.000 [Time] => 07:00 PM [Speaker] => Keith Moore [Location] => Faith Family Church [Pastors] => Michael & Barbara Cameneti [Address] => 8200 Freedom Ave NW [City] => Canton [State] => OH [Zip] => 44720.0 [Phone] => (330) 492-0925 [Email] => [WebAddress] => http://www.myfaithfamily.com ) As you can see, The Ark Church and its associated contact information is duplicated, so when I work with those arrays and output them to the page, I see a bunch of duplicate content. I'd like to remove the duplicate information so that I get results similar to this: The Ark Church Alan & Joy Clayton 450 Humble Tank Rd. Conroe, TX 77305 (936) 756-1988 [email protected] http://www.thearkchurch.org Meetings: Tuesday, 2012-10-30 07:00 PM Wednesday, 2012-10-31 07:00 PM Fellowship Of Faith Christian Center Michael & Joan Kalstrup 18999 Hwy. 59 Oakland, IA 51560 (712) 482-3455 [email protected] http://www.fellowshipoffaith.cc Meetings: Tuesday, 2012-11-06 07:00 PM Faith Family Church Michael & Barbara Cameneti 8200 Freedom Ave NW Canton, OH 44720 (330) 492-0925 http://www.myfaithfamily.com Meetings: Wednesday, 2012-11-14 07:00 PM It doesn't necessarily have to end up like that (I'm not looking for code specific for these results, but a concept of how to not show the duplicated information). I'm assuming that an additional foreach or while will do it, but I haven't figured out any logic that says <?php if ($location == $previouslocation) echo ""; ?>.

    Read the article

  • Database types for customer analytics

    - by Drewdavid
    I am exploring a paid solution to start providing better embedded, dashboard-style analytics information to our website customers/account holders, but would like to also offer an in-house development option to our team. The more equipped I am with specifics (such as the subject of this question), the better the adoption rate from the team (or so I have found), regardless of the path we choose Would anyone care to summarize a couple of options for a fast and scalable database type through which we would provide the following: • Daily pageviews to a users account pages (users have between 1 and 1000 pages) • Some calculated/compounded metrics (such as conversion rate, i.e. certain page type viewed to contact form thank you page ratio) • We have about 1,500 members (will need room to grow); the number of concurrently logged in users will for the question's sake be 50 I ask because our developer has balked at providing this level of "over time" granularity (i.e. daily) due to the number of space it would take up in a MYSQL database To avoid a downvote I have asked specifically for more than one option, realizing that different people will have different solutions. I will make amendments to my question if so guided by answering parties Thank you for sharing your valued answers :)

    Read the article

  • winusb formatting and installation error, lost data storage on 32gb flash drive

    - by Cary Felton
    i recently purchased a pny brand 32gb usb drive to use for configuring a dual boot on my computer, and for hdd files backup. i also recently installed zorin os 6.1 as my main os, and then downloaded winusb for linux, and set it to install the iso for windows 8 release preview as the activation code is still good untill jan.2013, and there was an error on the installation. i rebooted the computer, plugged in the usb drive, and i went from 32gb usable space to somehow having a partitioned drive (mounted as two separate drives) one being 3.7gb, and the other being i believe 25gb or so... i then formatted the drive with gparted back to fat32, and it still read as a windows usb with the installation files on it still? so then i took my usb drive to my library which runs windows 8, i installed bootice, and completely reformatted my usb drive, and somehow it is usable, but still not perfect. it reads i only have 29.9gb usable space... i have already thought of the non usable area, and that doesnt account for this error as when i first bought the drive and plugged it in on linux, it read total drive space was 32.2 and exactly 32 was usable. somehow i am short by 2gb of space which is very critical for what i am doing. i love linux, i only needed windows for bluray playback with daplayer as it wont work well in wine, but if i keep losing space on my usb drives im afraid ill have to switch back. any help would be appreciated as i already visited pny's site, and they have no support for this issue, and im not that fond of partitions, file systems, or formatting.

    Read the article

  • Which design better when use foreign key instead of a string to store a list of id

    - by Kien Thanh
    I'm building online examination system. I have designed to table, Question and GeneralExam. The table GeneralExam contains info about the exam like name, description, duration,... Now I would like to design table GeneralQuestion, it will contain the ids of questions belongs to a general exam. Currently, I have two ideas to design GeneralQuestion table: It will have two columns: general_exam_id, question_id. It will have two columns: general_exam_id, list_question_ids (string/text). I would like to know which designing is better, or pros and cons of each designing. I'm using Postgresql database.

    Read the article

< Previous Page | 326 327 328 329 330 331 332 333 334 335 336 337  | Next Page >