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  • How do I stop IIS from sending minutely GET requests to my proxied mongrel server?

    - by brad
    I have a rails application running on Windows Server 2008 running IIS7.5. I am using Application Request Routing to send requests to the Mongrel server via IIS (I didn't want to set it up like this but this was the environment I have been forced to use). IIS seems to send a GET request to the Mongrel server once every minute. This is not a huge deal but it does cause a lot of pollution in my logs and also creates a large amount of unwanted session data. I would really like to stop it from doing this. Is there a way?

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  • SQL Server 2008 R2 SQL Server has encountered x occurrence(s) of I/O requests taking longer than 15 seconds to complete on file

    - by Natalia
    When I alter or create a stored procedure directly on production or QA database, after a few seconds I start experience timeouts and application becomes unavailable. Log files shows this error: SQL Server has encountered 3 occurrence(s) of I/O requests taking longer than 15 seconds to complete on file [C:\Program Files\Microsoft SQL Server\MSSQL10_50.MSSQLSERVER\MSSQL\DATA\QA_Database.ldf] in database [QA_Database] (9). The OS file handle is 0x0000000000000568. The offset of the latest long I/O is: 0x0000002821a200 We have SQL Server 2008 R2 installed, including latest Service Pack. Production and staging environments are completely separated. I tried to reproduce it on QA, but to no avail. I have no clue what it could be. Appreciate your help.

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  • Can I alias all directory requests to a single file in nginx?

    - by user749618
    I'm trying to figure out how to take all requests made to a particular directory and return a json string without a redirect, in nginx. Example: curl -i http://example.com/api/call1/ Expected result: HTTP/1.1 200 OK Accept-Ranges: bytes Content-Type: application/json Date: Fri, 13 Apr 2012 23:48:21 GMT Last-Modified: Fri, 13 Apr 2012 22:58:56 GMT Server: nginx X-UA-Compatible: IE=Edge,chrome=1 Content-Length: 38 Connection: keep-alive {"logout": true} Here's what I have so far in my nginx conf: location ~ ^/api/(.*)$ { index /api_logout.json; alias /path/to/file/api_logout.json; types { } default_type "application/json; charset=utf-8"; break; } However, when I try to make the request the Content-Type doesn't stick: $ curl -i http://example.com/api/call1/ HTTP/1.1 200 OK Accept-Ranges: bytes Content-Type: application/octet-stream Date: Fri, 13 Apr 2012 23:48:21 GMT Last-Modified: Fri, 13 Apr 2012 22:58:56 GMT Server: nginx X-UA-Compatible: IE=Edge,chrome=1 Content-Length: 38 Connection: keep-alive {"logout": true} Is there a better way to do this? How can I get the application/json type to stick?

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  • Why does httpd handle requests for wrong hostnames in SSL mode?

    - by Manuel
    I have an SSL-enabled virtual host for my sites at example.com:10443 Listen 10443 <VirtualHost _default_:10443> ServerName example.com:10443 ServerAdmin [email protected] ErrorLog "/var/log/httpd/error_log" TransferLog "/var/log/httpd/access_log" SSLEngine on SSLProtocol all -SSLv2 SSLCipherSuite HIGH:MEDIUM:!aNULL:!MD5 SSLCertificateFile "/etc/ssl/private/example.com.crt" SSLCertificateKeyFile "/etc/ssl/private/example.com.key" SSLCertificateChainFile "/etc/ssl/private/sub.class1.server.ca.pem" SSLCACertificateFile "/etc/ssl/private/StartCom.pem" </VirtualHost> Browsing to https://example.com:10443/ works as expected. However, also browsing to https://subdomain.example.com:10443/ (with DNS set) shows me the same pages (after SSL certificate warning). I would have expected the directive ServerName example.com:10443 to reject all connection attempts to other server names. How can I tell the virtual host not to serve requests for URLs other than the top-level one?

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  • How do I serve only internal intranet requests for a site with Apache?

    - by purpletonic
    I have an externally facing web server on our domain that we use for testing multiple sites. I have a site on this server that I want only people from within our intranet to view. How do I prevent requests originating from outside the intranet from seeing this website? I tried the following in my apache config file, but I get a 403 error. <Directory /> Options FollowSymLinks Order Deny,Allow Allow from domain.com Allow from 10.0.0.0/10.255.255.255 Deny from All AllowOverride None </Directory> <Directory /var/www/sitename/public> Options Indexes FollowSymLinks MultiViews Order Deny,Allow Allow from domain.com Allow from 10.0.0.0/10.255.255.255 Deny from All AllowOverride None </Directory>

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  • Are you aware of any client-side malware that sends lots of junk requests for .gifs?

    - by Matt Sherman
    I am getting dozens of 404 errors on my site that are requests for gif's with apparently random names, like 4273uaqa.gif and 5pwowlag.gif. I see that most of them are coming from one user. I assume something is happening in the background on her machine without her knowledge. I assume it's a malware thing on the client. Has anyone seen this behavior before? Would love to advise my customer that s/he has an issue. I'd also like to stop getting these 404 reports. :)

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  • Binding services to localhost and using SSH tunnels - can requests be forged?

    - by Martin
    Given a typical webserver, with Apache2, common PHP scripts and a DNS server, would it be sufficient from a security perspective to bind administration interfaces like phpmyadmin to localhost and access it via SSH tunnels? Or could somebody, who knew eg. that phpmyadmin (or any other commonly availible script) is listening at a certain port on localhost easily forge requests that would be executed if no other authentication was present? In other words: could somebody from somewhere in the internet easily forge a request, so that the webserver would accept it, thinking it originated from 127.0.0.1 if the server is listening on 127.0.0.1 only? If there were a risk, could it be somehow dealt with on a lower level than the application, eg. by using iptables? The idea being, that if someone found a weakness in a php script or apache, the network would still block this request because it did not arrive via a SSH-tunnel?

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  • How do I capture and playback http web requests against multiple web servers?

    - by KevM
    My overall goal is to not interrupt a production system while capturing HTTP Posts to a web application so that I can reverse engineer the telemetry coming from a closed application. I have control over the transmitter of the HTTP Posts but not the receiving web application. It seems like I need a request "forking" proxy. Sort of a reverse proxy that pushes the request to 2 endpoints, a master and slave, only relaying the response from the master endpoint back to the requester. I am not a server geek so something like this may exist but I don't know the term of art for what I am looking for. Another possibility could be a simple logging proxy. Capture a log of the web requests. Rewrite the log to target my "slave" web application. Playback the log with curl or something. Thank you for your assistance.

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  • How can I force all requests to be SSL when using EC2 load balancer?

    - by chris
    I currently have a single EC2 instance which is forcing all requests to be secure by using mod_rewrite: RewriteEngine On RewriteCond %{SERVER_PORT} !443 RewriteRule ^(.*)$ https://%{HTTP_HOST}$1 [R,L] I am planning on moving to a load balanced setup, with multiple back-end instances. If I set up my EC2 load balancer with my certs, do I need to use SSL to communicate between the LB and my instances? If not, is it as simple as replacing the RewriteCond with RewriteCond %{HTTP:X-Forwarded_Proto} ^http$ Edit: I tried using the x-forwarded-proto, but it does not appear to work. Is there another way to detect if someone is connected to the LB via SSL?

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  • Squid randomly stops serving requests. How can I resolve this issue?

    - by Vijay
    The squid (2.7) proxy that I have running on ubuntu 8.10 stops accepting new requests after being online for a while, due to reasons that I can't discover. However doing a squid -k reload resolves the problem immediately. Now I manually run this command by monitoring the log and if i don't see any activity for 5 minutes I reload the config. Now on my quest for a solution I had several ideas: diagnose the root cause and eliminate it setup a script to automatically reload script if no new entries in access.log for the past 3 minutes painstakingly upgrade server to newer ubuntu version while keeping network offline or during off hours to minimize downtime. so i thought I would turn to you for solutions to option 2), as I do not understand squid enough for 1), and I'm avoiding 3) as long as i can. so can ideas?

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  • How do I block requests to Apache on a network interface?

    - by Dmitry Dulepov
    The problem: I have a local Apache instance on my Macbook Pro. I need it to listen on all network interfaces except en0 and en1 (basically, listen on lo and vnicX from Parallels). I know about "Listen *:80" but this is not a solution in this particular case. The only thing I could imagine if to use OS X firewall to block incoming requests to Apache on those interfaces. But I could not find any working examples and could not make such rules myself. Could somebody help, please?

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  • Weird Ubuntu Desktop Boot Partition On External Hard Drive

    - by Magnitus
    I have a Thinkpad with Windows 7. Last time I installed an Ubuntu/Windows dual boot, Windows was never same after and regularly got corrupted so this time, I installed Ubuntu on a separate external hard drive. I took a 500 GB external hard drive and used Windows to shrink the partition on it to 400 GB, freeing 100 GB to install Ubuntu. Then I modified the booting priority of my computer to boot from the external hard drive if present. Then, I installed Ubuntu desktop on the external hard drive using a DVD, picked the most simplistic partitioning scheme I could get away with (didn't go auto as it didn't include the external hard drive as a choice) and voilà. Fast forward some time and I'm trying to refresh my understanding of Linux partitions to install a bunch of servers, so I'm looking at the current partitioning scheme on my external hard drive and find the boot partition puzzling... sda is my integrated hard drive with Windows 7. sdb is my Ubuntu desktop external hard drive. Running parted on sdb, I get this: (parted) print Model: WD My Passport 0740 (scsi) Disk /dev/sdb: 500GB Sector size (logical/physical): 512B/512B Partition Table: msdos Number Start End Size Type File system Flags 1 1049kB 393GB 393GB primary ntfs boot 2 393GB 500GB 107GB extended 5 393GB 425GB 32.8GB logical linux-swap(v1) 6 425GB 500GB 74.6GB logical ext4 At this point, I'm wondering why the ntfs partition is flagged as "boot" and not my ext4 partition which is the partition that contains / (and by extension, /boot since it's not on its own separate partition). Looking at mtab only confirms what I already know: eric@eric-ThinkPad-W530:~$ sudo cat /etc/mtab /dev/sdb6 / ext4 rw,errors=remount-ro 0 0 proc /proc proc rw,noexec,nosuid,nodev 0 0 sysfs /sys sysfs rw,noexec,nosuid,nodev 0 0 none /sys/fs/cgroup tmpfs rw 0 0 none /sys/fs/fuse/connections fusectl rw 0 0 none /sys/kernel/debug debugfs rw 0 0 none /sys/kernel/security securityfs rw 0 0 udev /dev devtmpfs rw,mode=0755 0 0 devpts /dev/pts devpts rw,noexec,nosuid,gid=5,mode=0620 0 0 tmpfs /run tmpfs rw,noexec,nosuid,size=10%,mode=0755 0 0 none /run/lock tmpfs rw,noexec,nosuid,nodev,size=5242880 0 0 none /run/shm tmpfs rw,nosuid,nodev 0 0 none /run/user tmpfs rw,noexec,nosuid,nodev,size=104857600,mode=0755 0 0 none /sys/fs/pstore pstore rw 0 0 systemd /sys/fs/cgroup/systemd cgroup rw,noexec,nosuid,nodev,none,name=systemd 0 0 gvfsd-fuse /run/user/1000/gvfs fuse.gvfsd-fuse rw,nosuid,nodev,user=eric 0 0 /dev/sdb1 /media/eric/My\040Passport fuseblk rw,nosuid,nodev,allow_other,default_permissions,blksize=4096 0 0 My lack of understanding concerning this is not vital to anything (this is only my development desktop partition), but somehow annoys me. Any insight that could shed some light on this would be welcome.

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  • SQL Server 2005: Improving performance for thousands or Insert requests. logout-login time= 120ms.

    - by Rad
    Can somebody shed some lights on how SQL Server 2005 deals with may request issued by a client using ADO.NET 2.0. Below is the shortend output of SQL Trace. I can see that connection pooling is working (I believe there is only one connection being pooled). What is not clear to me is why we have so many sp_reset_connection calls i.e a series of: Audit Login, SQL:BatchStarting, RPC:Starting and Audit Logout for each loop in for loop below. I can see that there is constant switching between tempdb and master database which leads me to conclude that we lost the context when next connection is created by fetching it from the pool based on ConectionString argument. I can see that every 15ms I can get 100-200 login/logout per second (reported at the same time by Profiler). The after 15ms I have again a series fo 100-200 login/logout per second. I need clarification on how this might affect much complex insert queries in production environment. I use Enterprise Library 2006, the code is compiled with VS 2005 and it is a console application that parses a flat file with 10 of thousand of rows grouping parent-child rows, runs on an application server and runs 2 stored procedure on a remote SQL Server 2005 inserting a parent record, retrieves Identity value and using it calls the second stored procedure 1, 2 or multiple times (sometimes several thousands) inserting child records. The child table has close to 10 million records with 5-10 indexes some of them being covering non-clustered. There is a pretty complex Insert trigger that copies inserted detail record to an archive table. All in all I only have 7 inserts per second which means it can take 2-4 hours for 50 thousand records. When I run Profiler on the test server (that is almost equivalent with production server) I can see that there is about 120ms between Audit Logout and Audit Login trace entries which almost give me chance to insert about 8 records. So my question is if there is some way to improve inserting of records since the company loads 100 thousands of records and does daily planning and has SLA to fulfill client request coming as flat file orders and some big files 10 thousands have to be processed(imported quickly). 4 hours to import 60 thousands should be reduced to 30 minutes. I was thinking to use BatchSize of DataAdapter to send multiple stored procedure calls, SQL Bulk inserts to batch multiple inserts from DataReader or DataTable, SSIS fast load. But I don't know how to properly analyze re-indexing and stats population and maybe this has to take some time to finish. What is worse is that the company uses the biggest table for reporting and other online processing and indexes cannot be dropped. I manage transaction manually by setting a field to a value and do an transactional update changing that value to a new value that other applications are using to get committed rows. Please advise how to approach this problem. For now I am trying to have a staging tables with minimal logging in a separate database and no indexes and I will try to do batched (massive) parent child inserts. I believe Production DB has simple recovery model, but it could be full recovery. If DB user that is being used by my .NET console application has bulkadmin role does it mean its bulk inserts are minimally logged. I understand that when a table has clustered and many non-clustered indexes that inserts are still logged for each row. Connection pooling is working, but with many login/logouts. Why? for (int i = 1; i <= 10000; i++){ using (SqlConnection conn = new SqlConnection("server=(local);database=master;integrated security=sspi;")) {conn.Open(); using (SqlCommand cmd = conn.CreateCommand()){ cmd.CommandText = "use tempdb"; cmd.ExecuteNonQuery();}}} SQL Server Profiler trace: Audit Login master 2010-01-13 23:18:45.337 1 - Nonpooled SQL:BatchStarting use tempdb master 2010-01-13 23:18:45.337 RPC:Starting exec sp_reset_conn tempdb 2010-01-13 23:18:45.337 Audit Logout tempdb 2010-01-13 23:18:45.337 2 - Pooled Audit Login -- network protocol master 2010-01-13 23:18:45.383 2 - Pooled SQL:BatchStarting use tempdb master 2010-01-13 23:18:45.383 RPC:Starting exec sp_reset_conn tempdb 2010-01-13 23:18:45.383 Audit Logout tempdb 2010-01-13 23:18:45.383 2 - Pooled Audit Login -- network protocol master 2010-01-13 23:18:45.383 2 - Pooled SQL:BatchStarting use tempdb master 2010-01-13 23:18:45.383 RPC:Starting exec sp_reset_conn tempdb 2010-01-13 23:18:45.383 Audit Logout tempdb 2010-01-13 23:18:45.383 2 - Pooled

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  • How do I make Nginx redirect all requests for files which do not exist to a single php file?

    - by Richard
    I have the following nginx vhost config: server { listen 80 default_server; access_log /path/to/site/dir/logs/access.log; error_log /path/to/site/dir/logs/error.log; root /path/to/site/dir/webroot; index index.php index.html; try_files $uri /index.php; location ~ \.php$ { if (!-f $request_filename) { return 404; } fastcgi_pass localhost:9000; fastcgi_param SCRIPT_FILENAME /path/to/site/dir/webroot$fastcgi_script_name; include /path/to/nginx/conf/fastcgi_params; } } I want to redirect all requests that don't match files which exist to index.php. This works fine for most URIs at the moment, for example: example.com/asd example.com/asd/123/1.txt Neither of asd or asd/123/1.txt exist so they get redirected to index.php and that works fine. However, if I put in the url example.com/asd.php, it tries to look for asd.php and when it can't find it, it returns 404 instead of sending the request to index.php. Is there a way to get asd.php to be also sent to index.php if asd.php doesn't exist?

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  • Long connection times from PHP to MySQL on EC2

    - by Erik Giberti
    I'm having an intermittent issue connecting to a database slave with InnoDB. Intermittently I get connections taking longer than 2 seconds. These servers are hosted on Amazon's EC2. The app server is PHP 5.2/Apache running on Ubuntu. The DB slave is running Percona's XtraDB 5.1 on Ubuntu 9.10. It's using an EBS Raid array for the data storage. We already use skip name resolve and bind to address 0.0.0.0. This is a stub of the PHP code that's failing $tmp = mysqli_init(); $start_time = microtime(true); $tmp-options(MYSQLI_OPT_CONNECT_TIMEOUT, 2); $tmp-real_connect($DB_SERVERS[$server]['server'], $DB_SERVERS[$server]['username'], $DB_SERVERS[$server]['password'], $DB_SERVERS[$server]['schema'], $DB_SERVERS[$server]['port']); if(mysqli_connect_errno()){ $timer = microtime(true) - $start_time; mail($errors_to,'DB connection error',$timer); } There's more than 300Mb available on the DB server for new connections and the server is nowhere near the max allowed (60 of 1,200). Loading on both servers is < 2 on 4 core m1.xlarge instances. Some highlights from the mysql config max_connections = 1200 thread_stack = 512K thread_cache_size = 1024 thread_concurrency = 16 innodb-file-per-table innodb_additional_mem_pool_size = 16M innodb_buffer_pool_size = 13G Any help on tracing the source of the slowdown is appreciated. [EDIT] I have been updating the sysctl values for the network but they don't seem to be fixing the problem. I made the following adjustments on both the database and application servers. net.ipv4.tcp_window_scaling = 1 net.ipv4.tcp_sack = 0 net.ipv4.tcp_timestamps = 0 net.ipv4.tcp_fin_timeout = 20 net.ipv4.tcp_keepalive_time = 180 net.ipv4.tcp_max_syn_backlog = 1280 net.ipv4.tcp_synack_retries = 1 net.core.rmem_max = 16777216 net.core.wmem_max = 16777216 net.ipv4.tcp_rmem = 4096 87380 16777216 net.ipv4.tcp_wmem = 4096 87380 16777216 [EDIT] Per jaimieb's suggestion, I added some tracing and captured the following data using time. This server handles about 51 queries/second at this the time of day. The connection error was raised once (at 13:06:36) during the 3 minute window outlined below. Since there was 1 failure and roughly 9,200 successful connections, I think this isn't going to produce anything meaningful in terms of reporting. Script: date /root/database_server.txt (time mysql -h database_Server -D schema_name -u appuser -p apppassword -e '') /dev/null 2 /root/database_server.txt Results: === Application Server 1 === Mon Feb 22 13:05:01 EST 2010 real 0m0.008s user 0m0.001s sys 0m0.000s Mon Feb 22 13:06:01 EST 2010 real 0m0.007s user 0m0.002s sys 0m0.000s Mon Feb 22 13:07:01 EST 2010 real 0m0.008s user 0m0.000s sys 0m0.001s === Application Server 2 === Mon Feb 22 13:05:01 EST 2010 real 0m0.009s user 0m0.000s sys 0m0.002s Mon Feb 22 13:06:01 EST 2010 real 0m0.009s user 0m0.001s sys 0m0.003s Mon Feb 22 13:07:01 EST 2010 real 0m0.008s user 0m0.000s sys 0m0.001s === Database Server === Mon Feb 22 13:05:01 EST 2010 real 0m0.016s user 0m0.000s sys 0m0.010s Mon Feb 22 13:06:01 EST 2010 real 0m0.006s user 0m0.010s sys 0m0.000s Mon Feb 22 13:07:01 EST 2010 real 0m0.016s user 0m0.000s sys 0m0.010s [EDIT] Per a suggestion received on a LinkedIn question, I tried setting the back_log value higher. We had been running the default value (50) and increased it to 150. We also raised the kernel value /proc/sys/net/core/somaxconn (maximum socket connections) to 256 on both the application and database server from the default 128. We did see some elevation in processor utilization as a result but still received connection timeouts.

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  • How to get http requests details in a tcpdump?

    - by tucson
    I am trying to get a tcpdump trace of some http requests. Here is what I got so far (I replaced the real IP addresses with REMOTE and LOCAL): C:\>Windump -na -i 3 ip host REMOTE and ip src LOCAL and tcp port 80 Windump: listening on \Device\NPF_{8056BE5E-BDBB-44E6-B492-9274B410AD66} 13:13:34.985460 IP LOCAL.4261 > REMOTE.80: . 1784894764:1784894765(1) ack 1268208398 win 65535 13:13:38.589175 IP LOCAL.4302 > REMOTE.80: F 3708464308:3708464308(0) ack 982485614 win 65535 13:13:38.589285 IP LOCAL.4303 > REMOTE.80: F 890175362:890175362(0) ack 2462862919 win 65535 13:13:38.589330 IP LOCAL.4304 > REMOTE.80: F 1838079178:1838079178(0) ack 156173959 win 65535 13:13:38.589374 IP LOCAL.4305 > REMOTE.80: F 3952718843:3952718843(0) ack 2209231545 win 65535 13:13:38.589413 IP LOCAL.4306 > REMOTE.80: F 446105750:446105750(0) ack 3141849979 win 65535 13:13:38.590265 IP LOCAL.4302 > REMOTE.80: . ack 2 win 65535 13:13:38.590403 IP LOCAL.4304 > REMOTE.80: . ack 2 win 65535 13:13:38.590429 IP LOCAL.4303 > REMOTE.80: . ack 2 win 65535 13:13:38.590484 IP LOCAL.4305 > REMOTE.80: . ack 2 win 65535 13:13:38.590514 IP LOCAL.4306 > REMOTE.80: . ack 2 win 65535 But I do not get the following level of details: Request URL:http://domain.com/index.php Request Method:POST Status Code:200 OK POST /index.php HTTP/1.1 Host: domain.com Connection: keep-alive Content-Length: 151 Cache-Control: max-age=0 etc How can I get this level of data?

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  • Scripting out Contained Database Users

    - by Argenis
      Today’s blog post comes from a Twitter thread on which @SQLSoldier, @sqlstudent144 and @SQLTaiob were discussing the internals of contained database users. Unless you have been living under a rock, you’ve heard about the concept of contained users within a SQL Server database (hit the link if you have not). In this article I’d like to show you that you can, indeed, script out contained database users and recreate them on another database, as either contained users or as good old fashioned logins/server principals as well. Why would this be useful? Well, because you would not need to know the password for the user in order to recreate it on another instance. I know there is a limited number of scenarios where this would be necessary, but nonetheless I figured I’d throw this blog post to show how it can be done. A more obscure use case: with the password hash (which I’m about to show you how to obtain) you could also crack the password using a utility like hashcat, as highlighted on this SQLServerCentral article. The Investigation SQL Server uses System Base Tables to save the password hashes of logins and contained database users. For logins it uses sys.sysxlgns, whereas for contained database users it leverages sys.sysowners. I’ll show you what I do to figure this stuff out: I create a login/contained user, and then I immediately browse the transaction log with, for example, fn_dblog. It’s pretty obvious that only two base tables touched by the operation are sys.sysxlgns, and also sys.sysprivs – the latter is used to track permissions. If I connect to the DAC on my instance, I can query for the password hash of this login I’ve just created. A few interesting things about this hash. This was taken on my laptop, and I happen to be running SQL Server 2014 RTM CU2, which is the latest public build of SQL Server 2014 as of time of writing. In 2008 R2 and prior versions (back to 2000), the password hashes would start with 0x0100. The reason why this changed is because starting with SQL Server 2012 password hashes are kept using a SHA512 algorithm, as opposed to SHA-1 (used since 2000) or Snefru (used in 6.5 and 7.0). SHA-1 is nowadays deemed unsafe and is very easy to crack. For regular SQL logins, this information is exposed through the sys.sql_logins catalog view, so there is really no need to connect to the DAC to grab an SID/password hash pair. For contained database users, there is (currently) no method of obtaining SID or password hashes without connecting to the DAC. If we create a contained database user, this is what we get from the transaction log: Note that the System Base Table used in this case is sys.sysowners. sys.sysprivs is used as well, and again this is to track permissions. To query sys.sysowners, you would have to connect to the DAC, as I mentioned previously. And this is what you would get: There are other ways to figure out what SQL Server uses under the hood to store contained database user password hashes, like looking at the execution plan for a query to sys.dm_db_uncontained_entities (Thanks, Robert Davis!) SIDs, Logins, Contained Users, and Why You Care…Or Not. One of the reasons behind the existence of Contained Users was the concept of portability of databases: it is really painful to maintain Server Principals (Logins) synced across most shared-nothing SQL Server HA/DR technologies (Mirroring, Availability Groups, and Log Shipping). Often times you would need the Security Identifier (SID) of these logins to match across instances, and that meant that you had to fetch whatever SID was assigned to the login on the principal instance so you could recreate it on a secondary. With contained users you normally wouldn’t care about SIDs, as the users are always available (and synced, as long as synchronization takes place) across instances. Now you might be presented some particular requirement that might specify that SIDs synced between logins on certain instances and contained database users on other databases. How would you go about creating a contained database user with a specific SID? The answer is that you can’t do it directly, but there’s a little trick that would allow you to do it. Create a login with a specified SID and password hash, create a user for that server principal on a partially contained database, then migrate that user to contained using the system stored procedure sp_user_migrate_to_contained, then drop the login. CREATE LOGIN <login_name> WITH PASSWORD = <password_hash> HASHED, SID = <sid> ; GO USE <partially_contained_db>; GO CREATE USER <user_name> FROM LOGIN <login_name>; GO EXEC sp_migrate_user_to_contained @username = <user_name>, @rename = N’keep_name’, @disablelogin = N‘disable_login’; GO DROP LOGIN <login_name>; GO Here’s how this skeleton would look like in action: And now I have a contained user with a specified SID and password hash. In my example above, I renamed the user after migrated it to contained so that it is, hopefully, easier to understand. Enjoy!

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  • Disaster Recovery Discovery

    - by Rodney Landrum
    Last weekend I joined several of my IT staff on a mission to perform a DR test in our remote CoLo center in a large South East city of the US. Can I be more obtuse? The goal was simple for me as the sole DBA in a throng of Windows, Storage, Network and SAN admins – restore the databases and make them work. There were 4 applications that back ended to 7 SQL Server databases on 4 different SQL Server instances. We would maintain the original server names, but beyond that it was fair game. We had time to prepare so I was able to script out or otherwise automate the recovery process. I used sp_help_revlogin for three of the servers, a bit of a cheat actually because restoring the Master database on the target DR servers was the specified course of action according to the DR procedures ( the caveat “IF REQUIRED” left it open to interpretation. I really wanted to avoid the step of restoring Master for a number of reasons but mainly because I did not want to deal with issues starting SQL Services afterward. Having to account for the location of TempDB and the version conflicts of the resource DBs were just two of the battles I chose not to fight. Not to mention other system database location problems that might arise and prevent SQL from starting.  I was going to have to restore all of the user databases anyway, so I would not really gain any benefit, outside of logins, for taking the time to restore the source Master database over the newly installed one on the fresh server. What I wanted was the ability to restore the Master database as a user database, call it Master_Mine, from a backup on the source system and then use that restored database to script the SQL Logins and passwords on the DR systems. While I did not attempt this on the trip, the thought stuck in my mind and this past week I succeeded at scripting user accounts and passwords using only a restored copy of the Master database. Granted there were several challenges to overcome.  Also, as is usual for any work like this the usual disclaimers apply:  This is not something that I would imagine Microsoft would condone or support and this was really only an experiment for me to learn if it was even possible. While I have tested the process with success, I do not know that I would use this technique in a documented procedure because future updates for SQL Server will render this technique non-functional. I thought at first, incorrectly of course, that I could use sp_help_revlogin on a restored copy of the master database I named Master_Mine.   Since sp_help_revlogin uses system schema objects, sys.syslogins and sys.server_principals, this was not going to work because all results would come from the main Master database. To test this I added a SQL login via SSMS, backed up Master, restored  it as Master_Mine, and then deleted the login.  Even though the test account I created should presumably still be in the Master_Mine database, I should be able to get to it and script out its creation with its password hash so that I would not need to know the password, but any applications that stored that password would not have to be altered in the DR scenario. They would just work as expected. Once I realized that would not work I began looking deeper.  Knowing that sys.syslogins and sys.server_principals are system views, their underlying code should be available with sp_helptext, right? They were. And this led me to discover the two tables sys.sysxlgns and sys.sysprivs, where the data I needed was stored. These tables existed in both the real Master and the restored copy, Master_Mine.  I used this information to tweak the sp_help_revlogin stored procedure to use these tables instead to create the logins cursor used in sp_help_revlogin. For the password hash,  sp_help_revlogin uses the function LoginProperty() which takes a user name and option ‘passwordhash’ to return the hash for the user. Unfortunately, it requires the login to exist in the Master database. This would not work. So another slight modification I had to make was to pull the password hash itself (pwdhash from sys.sysxlgns) into the logins cursor and comment out the section of sp_help_revlogin that uses LoginProperty. Instead, I pass the pwdhash value as the variable @PWD_varbinary to the sp_hexadecimal stored procedure which is also created by and used within the code provided by Microsoft in the link above for sp_help_revlogin. The final challenge: sys.sysxlgns and sys.server_principals are visible only within a Dedicated Administrator Connection (DAC) query window in SSMS or within SQLCDMD.  To open a DAC connection you have to be logged in on the SQL Server itself, via RDP in my case,  and you preface the server name in the query connection with ADMIN:, so that the server connection looks like ADMIN:ServerName. From there you can create the modified stored procedure in the restored copy of a Master database from a source system as whatever name you like, and then run the modified stored procedure. I named my new stored procedure usp_help_revlogin_MyMaster. Upon execution I was happy to see the logins and password hashes that I needed to apply from the source Master database without having to restore over the new Master system database and without the need to access the original server (assuming it was down due to whatever disaster put it in that state). You will note that I am not providing full code samples here of the modifications. I will say that it was a slight bit of work and anyone who needed to do this for whatever reason, could fairly easily roll their own solution with the information provided herein.  My goal, as I said was to prove that this could be done and provide another option if required to ease the burden of getting SQL Servers up and available in an emergency situation where alternatives may be more challenging or otherwise unavailable.  

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  • Unity is broken after upgrading to 12.10 (Optimus laptop)

    - by SyS
    I upgraded to GNU/Linux Ubuntu 12.10 but have been unable to use Unity properly afterwards. Indeed, I encountered the exact same problem as a lot of people: the Unity side and top bars are not displaying, although in my case, Unity seems completely broken, as I can't even right-click. However, in my case, it's worth noticing that I have an Optimus laptop with a Nvidia graphics card (GeForce GT 540M). Bumblebee and its 'optirun' command is working just fine, as usual, after the upgrade. I tried several things, as resetting Compiz and Unity (with the command 'setside unity') -- which works but I have to do it everytime I boot and it resets all my settings -- updating/reinstalling/reconfiguring my Nvidia drivers as well as bumblebee, trying with Nouveau drivers instead of nvidia-current, check if linux-headers-generic were installed (they were). However, I couldn't reset xorg.conf files as they're just not there. There is neither xorg.conf file, nor its backup in /etc/X11. I think this is where the problem comes from, although I'm far from an expert. Maybe retrieving a xorg.conf file will fix this mess, but I have no idea how to do that. I'm just tired and don't know what to do. So, here I am, begging for your help.

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  • Comparing Nginx+PHP-FPM to Apache-mod_php

    - by Rushi
    I'm running Drupal and trying to figure out the best stack to serve it. Apache + mod_php or Nginx + PHP-FPM I used ApacheBench (ab) and Siege to test both setups and I'm seeing Apache performing better. This surprises me a little bit since I've heard a lot of good things about Nginx + PHP-FPM. My current Nginx setup is something that is a bit out of the box, and the same goes for PHP-FPM What optimizations I can make to speed up the Nginx + PHP-FPM combo over Apache and mo_php ? In my tests using ab, Apache is outperforming Nginx significantly (higher requets/second and finishing tests much faster) I've googled around a bit, but since I've never using Nginx, PHP-FPM or FastCGI, I don't exactly know where to start PHP v5.2.13, Drupal v6, latest PHP-FPM and Nginx compiled from source. Apache v2.0.63 ApacheBench Nginx + PHP-FPM Server Software: nginx/0.7.67 Server Hostname: test2.com Server Port: 80 Concurrency Level: 25 ---> Time taken for tests: 158.510008 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 ---> Requests per second: 6.31 [#/sec] (mean) Time per request: 3962.750 [ms] (mean) Time per request: 158.510 [ms] (mean, across all concurrent requests) Transfer rate: 181.38 [Kbytes/sec] received ApacheBench Apache using mod_php Server Software: Apache/2.0.63 Server Hostname: test1.com Server Port: 80 Concurrency Level: 25 --> Time taken for tests: 63.556663 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 --> Requests per second: 15.73 [#/sec] (mean) Time per request: 1588.917 [ms] (mean) Time per request: 63.557 [ms] (mean, across all concurrent requests) Transfer rate: 103.94 [Kbytes/sec] received

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  • APC not caching many files

    - by tetranz
    Hello I have a Drupal site running on a VPS at Linode with PHP 5.2.10 and APC 3.1.6. It never caches more than about 25 files and barely uses any of its available memory. Drupal has hundreds of php files. I have another server where APC seems to work well and does indeed cache hundreds of files. The only difference with that site is that it runs Ubuntu 10.04 and php 5.3.2. The config settings are the same. What could be wrong? I'll paste the config from apc.php below. This is after hitting multiple parts of Drupal. Thanks APC Version 3.1.6 PHP Version 5.2.10-2ubuntu6.5 APC Host xxx.example.com Server Software Apache/2.2.12 (Ubuntu) Shared Memory 1 Segment(s) with 32.0 MBytes (mmap memory, pthread mutex locking) Start Time 2010/12/02 11:32:17 Uptime 3 minutes File Upload Support 1 File Cache Information Cached Files 21 ( 1.4 MBytes) Hits 169 Misses 21 Request Rate (hits, misses) 1.00 cache requests/second Hit Rate 0.89 cache requests/second Miss Rate 0.11 cache requests/second Insert Rate 0.17 cache requests/second Cache full count 0 User Cache Information Cached Variables 0 ( 0.0 Bytes) Hits 0 Misses 0 Request Rate (hits, misses) 0.00 cache requests/second Hit Rate 0.00 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.00 cache requests/second Cache full count 0 Runtime Settings apc.cache_by_default 1 apc.canonicalize 1 apc.coredump_unmap 0 apc.enable_cli 0 apc.enabled 1 apc.file_md5 0 apc.file_update_protection 2 apc.filters apc.gc_ttl 3600 apc.include_once_override 0 apc.lazy_classes 0 apc.lazy_functions 0 apc.max_file_size 1M apc.mmap_file_mask apc.num_files_hint 1000 apc.preload_path apc.report_autofilter 0 apc.rfc1867 0 apc.rfc1867_freq 0 apc.rfc1867_name APC_UPLOAD_PROGRESS apc.rfc1867_prefix upload_ apc.rfc1867_ttl 3600 apc.shm_segments 1 apc.shm_size 32M apc.slam_defense 1 apc.stat 1 apc.stat_ctime 0 apc.ttl 0 apc.use_request_time 1 apc.user_entries_hint 4096 apc.user_ttl 0 apc.write_lock 1

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  • How to populate RRD database with CPU and MEM usage data?

    - by Tomaszs
    I have a Lighttpd server (on Centos) and would like to display 4 graphs: lighttpd traffic, lighttpd requests per second, CPU usage and MEM usage. I've set place for rrd database for lighttpd config like this: rrdtool.binary = "/usr/bin/rrdtool" rrdtool.db-name = "/var/www/lighttpd.rrd" And put into my WWW cgi-bin sh file that gets data from lighttpd RRD file and creates graphs of traffic and requests per second like this: #!/bin/sh RRDTOOL=/usr/bin/rrdtool OUTDIR=//var/www/graphs INFILE=/var/www/lighttpd.rrd OUTPRE=lighttpd-traffic WIDTH=400 HEIGHT=100 DISP="-v bytes --title TrafficWebserver \ DEF:binraw=$INFILE:InOctets:AVERAGE \ DEF:binmaxraw=$INFILE:InOctets:MAX \ DEF:binminraw=$INFILE:InOctets:MIN \ DEF:bout=$INFILE:OutOctets:AVERAGE \ DEF:boutmax=$INFILE:OutOctets:MAX \ DEF:boutmin=$INFILE:OutOctets:MIN \ CDEF:bin=binraw,-1,* \ CDEF:binmax=binmaxraw,-1,* \ CDEF:binmin=binminraw,-1,* \ CDEF:binminmax=binmaxraw,binminraw,- \ CDEF:boutminmax=boutmax,boutmin,- \ AREA:binmin#ffffff: \ STACK:binmax#f00000: \ LINE1:binmin#a0a0a0: \ LINE1:binmax#a0a0a0: \ LINE2:bin#efb71d:incoming \ GPRINT:bin:MIN:%.2lf \ GPRINT:bin:AVERAGE:%.2lf \ GPRINT:bin:MAX:%.2lf \ AREA:boutmin#ffffff: \ STACK:boutminmax#00f000: \ LINE1:boutmin#a0a0a0: \ LINE1:boutmax#a0a0a0: \ LINE2:bout#a0a735:outgoing \ GPRINT:bout:MIN:%.2lf \ GPRINT:bout:AVERAGE:%.2lf \ GPRINT:bout:MAX:%.2lf \ " $RRDTOOL graph $OUTDIR/$OUTPRE-hour.png -a PNG --start -14400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-day.png -a PNG --start -86400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-month.png -a PNG --start -2592000 $DISP -w $WIDTH -h $HEIGHT OUTPRE=lighttpd-requests DISP="-v req --title RequestsperSecond -u 1 \ DEF:req=$INFILE:Requests:AVERAGE \ DEF:reqmax=$INFILE:Requests:MAX \ DEF:reqmin=$INFILE:Requests:MIN \ CDEF:reqminmax=reqmax,reqmin,- \ AREA:reqmin#ffffff: \ STACK:reqminmax#00f000: \ LINE1:reqmin#a0a0a0: \ LINE1:reqmax#a0a0a0: \ LINE2:req#00a735:requests" $RRDTOOL graph $OUTDIR/$OUTPRE-hour.png -a PNG --start -14400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-day.png -a PNG --start -86400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-month.png -a PNG --start -2592000 $DISP -w $WIDTH -h $HEIGHT Basically it's not my script, i get it from somewhere from the internet. Now i would like to do the same for CPU usage and MEM usage. I don't like to use any additional packages! As you can see lighttpd populates lighttpd.rrd file with traffic data and requests per second. Now i would like to the system to populate second rrd file with CPU and MEM usage, so i can add to sh file code to generate graphs for this data. How can I populate RRD file with CPU and MEM usage data? Please, NO THIRD-PARTY tools !

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  • Performance Test and TCP tuning

    - by Mithir
    We are in the process of performance testing an application which receives tcp requests converts them to soap requests (WCF-httpBinding) which other services work on. The server is Windows Server 2008 R2. The TCP requests are received by TcpListener instance (.NET C#). There are 3 http-binded WCF services running on the same server. We have built a performance test client which goal is to simulate multiple concurrent requests(each request has to be different and recognizable by the application). We built a test running 150 requests that run on the same time (by 150 different threads), and we noticed straight away that some requests get the TCP connection slowly, but once they get it, they act fast. A single request writes twice on the same connection- request and an application ack. Although a single request+ack can take about 150ms, the 150 test takes about 7 seconds. The Problem When we try to run this test from 2 different computers we lose requests. some clients requests are getting no connection was made because the target machine actively refused it So I got here and got convinced it was because of the backlog. I changed the TcpListener parameters and did the registry AFD backlog changes written here but it still didn't work, so I inserted all of the TCP tuning suggested plus some netsh commands which were recommended, but still no change, we still get that error. Is there anything else I need to know? Are there any other solutions?

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  • Evernote from vim

    - by juanpablo
    I search a way to edit evernote notes from vim I begin with this #!/bin/bash evernoteDir="$HOME/Library/Application*Support/Evernote/data" dataDir=$(ls -trlh $evernoteDir| tail -n 1| awk '{print $NF}') contentDir="$evernoteDir/$dataDir/content" file=$(ls -trlh $contentDir | tail -n 1| awk '{print $NF}') vim -c 's/div>/div>\r/g' $contentDir/$file/content.html https://gist.github.com/1256416 or maybe create a vim plugin for this ... you have any suggestion? EDIT: for a more simple edition of the evernote note in html format, I make this vim function " Markup function {{{ fun! MkdToHtml() "{{{ " markdown to html silent! execute '%s/ $/<br\/>/g' silent! execute '%s/\*\*\(.*\)\*\*/<b>\1<\/b>/g' silent! execute '%s/\t*###\(.*\)/<H3>\1<\/H3>/g' endf "}}} command! -complete=command MkdToHtml call MkdToHtml() nn <silent> <leader>mm :MkdToHtml<CR> " }}} and a vim function for open the last note edited fun! LastEvernote() "{{{ " a better solution is with evernote api let evernoteDir=expand("$HOME")."/Library/Application*Support/Evernote/data" let dataDir=system("ls -trlh ".evernoteDir."| tail -n 1| awk '{print $NF}'") let contentDir=evernoteDir."/".dataDir."/content" let contentDir=substitute(contentDir,"\n","",'g') let note=system("ls -trlh ".contentDir." | tail -n 1| awk '{print $NF}'") let note=substitute(note,"\n","",'g') sil! exec 'sp '.contentDir.'/'.note.'/content.html' sil! exec '1s/>/>\r/g' sil! exec '%s/<br.*\/>/<br\/>\r/g' sil! exec '%s/<\//\r<\//g' sil! exec 'g/^\s*$/d' normal gg sil! exec '1,4fo' sil! exec '$-1,$fo' endf https://gist.github.com/1289727

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  • AWS elastic load balancer basic issues

    - by Jones
    I have an array of EC2 t1.micro instances behind a load balancer and each node can manage ~100 concurrent users before it starts to get wonky. i would THINK if i have 2 such instances it would allow my network to manage 200 concurrent users... apparently not. When i really slam the server (blitz.io) with a full 275 concurrents, it behaves the same as if there is just one node. it goes from 400ms response time to 1.6 seconds (which for a single t1.micro is expected, but not 6). So the question is, am i simply not doing something right or is ELB effectively worthless? Anyone have some wisdom on this? AB logs: Loadbalancer (3x m1.medium) Document Path: /ping/index.html Document Length: 185 bytes Concurrency Level: 100 Time taken for tests: 11.668 seconds Complete requests: 50000 Failed requests: 0 Write errors: 0 Non-2xx responses: 50001 Total transferred: 19850397 bytes HTML transferred: 9250185 bytes Requests per second: 4285.10 [#/sec] (mean) Time per request: 23.337 [ms] (mean) Time per request: 0.233 [ms] (mean, across all concurrent requests) Transfer rate: 1661.35 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 1 2 4.3 2 63 Processing: 2 21 15.1 19 302 Waiting: 2 21 15.0 19 261 Total: 3 23 15.7 21 304 Single instance (1x m1.medium direct connection) Document Path: /ping/index.html Document Length: 185 bytes Concurrency Level: 100 Time taken for tests: 9.597 seconds Complete requests: 50000 Failed requests: 0 Write errors: 0 Non-2xx responses: 50001 Total transferred: 19850397 bytes HTML transferred: 9250185 bytes Requests per second: 5210.19 [#/sec] (mean) Time per request: 19.193 [ms] (mean) Time per request: 0.192 [ms] (mean, across all concurrent requests) Transfer rate: 2020.01 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 1 9 128.9 3 3010 Processing: 1 10 8.7 9 141 Waiting: 1 9 8.7 8 140 Total: 2 19 129.0 12 3020

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