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• Port forwarding on D-Link DIR-615 super-slow, useless

  - by Jaroslav Záruba

  Hello I have replaced my old router with DIR-615 from D-Link, and now the port forwarding is so slow it makes the router practically useless. Accessing the router itself (admin UI) is without issues, no delay whatsoever. But when I try to access a service on another computer in the network the requests take minutes and minutes. (E.g. I can see source of my GWT-app main page, but loading additional CSS and JS files takes years.) If anyone could recommend any further diagnostics I should do to figure out what is happening it would be great. Few notes: happens with more services (web-app on Tomcat, viewing directory index via Apache) it does not make a difference whether the service is hosted on wired or wireless PC accessing the service on a localhost works fine turning off firewall on the target PC does not make difference either (makes sense) when I replace this router with the old one (both 192.168.1.1) everything works fine I see nothing suspicious in the router's log I believe I have the latest firmware (4.11) DIR-615 sucks, it already died once completely Regards Jarda Z.

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• Very slow loading pages with router

  - by user984621

  I bought new router - this one: http://www.tp-link.com/en/products/details/?model=TL-WR841ND and the problem is, that the loading pages is so slow, even sometimes the pages aren't loaded at all. Is the same, when I have on the Mac OS or Windows. Below are the informations from the router-admin section: LAN IP Address: 192.168.2.1 Subnet Mask: 255.255.255.0 WAN IP Address: 192.168.1.100 Dynamic IP Subnet Mask: 255.255.255.0 Default Gateway: 192.168.1.254 DNS Server: 89.203.178.2 , 10.14.2.1 How can I fix this problem? Is almost impossible to use the internet this way.

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• Network based on Netgear FVS318 extremely slow

  - by Fentible

  A network I maintain uses an FVS318 as a router, with a separate switch. Communication within the network is slow. Out to the internet is even slower. As it stands there is one patch from the FVS to the switch and no other devices directly connected to the FVS because any that are run so slowly they might as well not be connected to the network. Swapping in a bog-standard home router dramatically increases network speed, but that's not a viable solution because some of the enterprise features of the FVS are required. There are quite a few complaints about this on the Netgear forum, but Netgear support have not been forthcoming with any help - so I turn to you all: any ideas?

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• Ubuntu 9.10 Dowload Speed Very Slow

  - by Don

  I'm running Ubuntu 9.10 desktop and I'm new to the Linux world, so bear with me. I'm on a corporate network of 3 T1s shared across 50-60 users. I typically get about 300 KB/sec for downloads, but for whatever reason, the Linux box will start out in that range, then drop to less than 1KB/Sec sometimes. Doesn't seen to matter where I'm downloading from. Right now I'm trying to get Eclipse for PHP and it's running at 3-6KB/sec. Getting the updates for the system will also drop to very slow rates. Our IT person has set up the machine to get the same 10.0.0.x address when it starts, and moved this IP to bypass our Proxy/Firewall going out, so that shouldn't be the issue. Can anyone recommend something I can try to better diagnose the problem. Again, I'm new to the Linux world and the hardware/OS setup side in general (coming form more of a coding background). Thanks for any advice.

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• mySQL Optimization Suggestions

  - by Brian Schroeter

  I'm trying to optimize our mySQL configuration for our large Magento website. The reason I believe that mySQL needs to be configured further is because New Relic has shown that our SELECT queries are taking a long time (20,000+ ms) in some categories. I ran MySQLTuner 1.3.0 and got the following results... (Disclaimer: I restarted mySQL earlier after tweaking some settings, and so the results here may not be 100% accurate): >> MySQLTuner 1.3.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering [OK] Currently running supported MySQL version 5.5.37-35.0 [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM [--] Data in MyISAM tables: 7G (Tables: 332) [--] Data in InnoDB tables: 213G (Tables: 8714) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [--] Data in MEMORY tables: 0B (Tables: 353) [!!] Total fragmented tables: 5492 -------- Security Recommendations ------------------------------------------- [!!] User '@host5.server1.autopartsnetwork.com' has no password set. [!!] User '@localhost' has no password set. [!!] User 'root@%' has no password set. -------- Performance Metrics ------------------------------------------------- [--] Up for: 5h 3m 4s (5M q [317.443 qps], 42K conn, TX: 18B, RX: 2B) [--] Reads / Writes: 95% / 5% [--] Total buffers: 35.5G global + 184.5M per thread (1024 max threads) [!!] Maximum possible memory usage: 220.0G (174% of installed RAM) [OK] Slow queries: 0% (6K/5M) [OK] Highest usage of available connections: 5% (61/1024) [OK] Key buffer size / total MyISAM indexes: 512.0M/3.1G [OK] Key buffer hit rate: 100.0% (102M cached / 45K reads) [OK] Query cache efficiency: 66.9% (3M cached / 5M selects) [!!] Query cache prunes per day: 3486361 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 812K sorts) [!!] Joins performed without indexes: 1328 [OK] Temporary tables created on disk: 11% (126K on disk / 1M total) [OK] Thread cache hit rate: 99% (61 created / 42K connections) [!!] Table cache hit rate: 19% (9K open / 49K opened) [OK] Open file limit used: 2% (712/25K) [OK] Table locks acquired immediately: 100% (5M immediate / 5M locks) [!!] InnoDB buffer pool / data size: 32.0G/213.4G [OK] InnoDB log waits: 0 -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce your overall MySQL memory footprint for system stability Enable the slow query log to troubleshoot bad queries Increasing the query_cache size over 128M may reduce performance Adjust your join queries to always utilize indexes Increase table_cache gradually to avoid file descriptor limits Read this before increasing table_cache over 64: http://bit.ly/1mi7c4C Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 512M) [see warning above] join_buffer_size (> 128.0M, or always use indexes with joins) table_cache (> 12288) innodb_buffer_pool_size (>= 213G) My my.cnf configuration is as follows... [client] port = 3306 [mysqld_safe] nice = 0 [mysqld] tmpdir = /var/lib/mysql/tmp user = mysql port = 3306 skip-external-locking character-set-server = utf8 collation-server = utf8_general_ci event_scheduler = 0 key_buffer = 512M max_allowed_packet = 64M thread_stack = 512K thread_cache_size = 512 sort_buffer_size = 24M read_buffer_size = 8M read_rnd_buffer_size = 24M join_buffer_size = 128M # for some nightly processes client sessions set the join buffer to 8 GB auto-increment-increment = 1 auto-increment-offset = 1 myisam-recover = BACKUP max_connections = 1024 # max connect errors artificially high to support behaviors of NetScaler monitors max_connect_errors = 999999 concurrent_insert = 2 connect_timeout = 5 wait_timeout = 180 net_read_timeout = 120 net_write_timeout = 120 back_log = 128 # this table_open_cache might be too low because of MySQL bugs #16244691 and #65384) table_open_cache = 12288 tmp_table_size = 512M max_heap_table_size = 512M bulk_insert_buffer_size = 512M open-files-limit = 8192 open-files = 1024 query_cache_type = 1 # large query limit supports SOAP and REST API integrations query_cache_limit = 4M # larger than 512 MB query cache size is problematic; this is typically ~60% full query_cache_size = 512M # set to true on read slaves read_only = false slow_query_log_file = /var/log/mysql/slow.log slow_query_log = 0 long_query_time = 0.2 expire_logs_days = 10 max_binlog_size = 1024M binlog_cache_size = 32K sync_binlog = 0 # SSD RAID10 technically has a write capacity of 10000 IOPS innodb_io_capacity = 400 innodb_file_per_table innodb_table_locks = true innodb_lock_wait_timeout = 30 # These servers have 80 CPU threads; match 1:1 innodb_thread_concurrency = 48 innodb_commit_concurrency = 2 innodb_support_xa = true innodb_buffer_pool_size = 32G innodb_file_per_table innodb_flush_log_at_trx_commit = 1 innodb_log_buffer_size = 2G skip-federated [mysqldump] quick quote-names single-transaction max_allowed_packet = 64M I have a monster of a server here to power our site because our catalog is very large (300,000 simple SKUs), and I'm just wondering if I'm missing anything that I can configure further. :-) Thanks!

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• Win XP shut down window very slow to appear

  - by Heckmaier

  Hi all, I click Start-Shut Down and the Shut Down window takes 5 minutes to appear. This problem doesn't happen after a fresh boot, it only happens after I have been logged on for awhile. I am using a MacBookPro with Bootcamp. The machine actually shuts down quickly, its just really slow to bring up the shut down window. Basically I would like to know if: 1) Anyone has any ideas why this would happen 2) Who owns the "Shut Down" window (i.e. what happens on the OS after I click the Shut Down icon in the start menu) I've tried perusing the task manager to try and see if any processes look suspicious, but to no avail. thanks, H

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• Slow Gmail attachment download over HTTPS

  - by Todd

  It only affects Gmail. I have tested other HTTP, FTP and HTTPS websites and downloading is fine, at the exact same time the problem is affecting a Gmail attachment download. The symptoms include both: High waiting time, before the download starts (on the order of 30 seconds); AND Very slow download transfer speeds (on the order of 1kbps) It's a very strange problem, and I didn't find any recent issues relating to Google Australia. The account works fine at another site with a different ISP, so it's either a computer configuration or ISP - I lean to the latter.

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• Slow running Ubuntu 10.10 laptop

  - by user5978

  Hello everyone. I have a slow computer. When I click on an icon say Firefox it can take 10 seconds to load. when I minimize and maximize windows you can see it happening. I get "ghost" screens where you see the window outline of the box but nothing in it or it may be white. The laptop is two years old and has these specs: Intel core two duo 2.8GHZ CPU 4GB RAM 500GB HDD 512MB Nvidia 8600GT video Realtek HD audio What is going on and where should I start looking for issues? Ubuntu 10.10 was upgraded from 10.04LTS following the instructions from the Ubuntu Wiki and it was done through the update manager GUI, not the CLI. Thanks for the help.

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• Slow network file copy on Windows 7

  - by Jason V.

  I wrote a program that uses xcopy to transfer files (usually between 1KB and 2MB) over our intranet. Usually, I am copying files from my host machine (Windows 7 x64) to a VMWare virtual machine running Windows Server 2008 (the VM is running on my host machine, if that matters). On Windows XP, the file transfers usually only require a few seconds to complete. But on my Windows 7 machine, the transfer of the first file (1.5 MB) takes around 1.5 minutes to complete. This is true whether I use xcopy, robocopy, or programmatically using File.Copy(). I noticed that if I use File.Copy, the first transfer is very slow and subsequent transfers are much faster. Any clue how I can speed up the process? Is there a setting in Windows 7 (or server 2008) that I could try?

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• Slow Gmail Attachment Download over HTTPS [closed]

  - by Todd

  It only affects Gmail. I have tested other HTTP, FTP and HTTPS websites and downloading is fine, at the exact same time the problem is affecting a Gmail attachment download. The symptoms include both: High waiting time, before the download starts (in the order of 30 seconds); AND Very slow download transfer speeds ( in the order of 1kbps) It's a very strange problem, and I didn't find any recent issues relating to Google Australia. The account works fine at another site with a different ISP, so it's either a computer configuration or ISP - I lean to the latter.

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• Practical mysql schema advice for eCommerce store - Products & Attributes

  - by Gravy

  I am currently planning my first eCommerce application (mySQL & Laravel Framework). I have various products, which all have different attributes. Describing products very simply, Some will have a manufacturer, some will not, some will have a diameter, others will have a width, height, depth and others will have a volume. Option 1: Create a master products table, and separate tables for specific product types (polymorphic relations). That way, I will not have any unnecessary null fields in the products table. Option 2: Create a products table, with all possible fields despite the fact that there will be a lot of null rows Option 3: Normalise so that each attribute type has it's own table. Option 4: Create an attributes table, as well as an attribute_values table with the value being varchar regardless of the actual data-type. The products table would have a many:many relationship with the attributes table. Option 5: Common attributes to all or most products put in the products table, and specific attributes to a particular category of product attached to the categories table. My thoughts are that I would like to be able to allow easy product filtering by these attributes and sorting. I would also want the frontend to be fast, less concern over the performance of the inserting and updating of product records. Im a bit overwhelmed with the vast implementation options, and cannot find a suitable answer in terms of the best method of approach. Could somebody point me in the right direction? In an ideal world, I would like to offer the following kind of functionality - http://www.glassesdirect.co.uk/products/ to my eCommerce store. As can be seen, in the sidebar, you can select an attribute the glasses to filter them. e.g. male / female or plastic / metal / titanium etc... Alternatively, should I just dump the mySql relational database idea and learn mongodb?

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• MySQL – Grouping by Multiple Columns to Single Column as A String

  - by Pinal Dave

  In this post titled SQL SERVER – Grouping by Multiple Columns to Single Column as A String we have seen how to group multiple column data in comma separate values in a single row grouping by another column by using FOR XML clause. In this post we will see how we can produce the same result using the GROUP_CONCAT function in MySQL. Let us create the following table and data. CREATE TABLE TestTable (ID INT, Col VARCHAR(4)); INSERT INTO TestTable (ID, Col) SELECT 1, 'A' UNION ALL SELECT 1, 'B' UNION ALL SELECT 1, 'C' UNION ALL SELECT 2, 'A' UNION ALL SELECT 2, 'B' UNION ALL SELECT 2, 'C' UNION ALL SELECT 2, 'D' UNION ALL SELECT 2, 'E'; Now to generate csv values of the column col for each ID, use the following code SELECT ID, GROUP_CONCAT(col) AS CSV FROM TestTable GROUP BY ID; The result is ID CSV 1 A,B,C 2 A,B,C,D,E You can also change the delimiters. For example instead of comma, if you want to have a pipe symbol (|), use the following SELECT ID, REPLACE(GROUP_CONCAT(col),',','|') AS CSV FROM TestTable GROUP BY ID; The result is ID CSV 1 A|B|C 2 A|B|C|D|E MySQL makes this very simple with its support of GROUP_CONCAT function. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Mysql query help - Alter this mysql query to get these results?

  - by sandeepan-nath

  Please execute the following queries first to set up so that you can help me:- CREATE TABLE IF NOT EXISTS `Tutor_Details` ( `id_tutor` int(10) NOT NULL auto_increment, `firstname` varchar(100) NOT NULL default '', `surname` varchar(155) NOT NULL default '', PRIMARY KEY (`id_tutor`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=41 ; INSERT INTO `Tutor_Details` (`id_tutor`,`firstname`, `surname`) VALUES (1, 'Sandeepan', 'Nath'), (2, 'Bob', 'Cratchit'); CREATE TABLE IF NOT EXISTS `Classes` ( `id_class` int(10) unsigned NOT NULL auto_increment, `id_tutor` int(10) unsigned NOT NULL default '0', `class_name` varchar(255) default NULL, PRIMARY KEY (`id_class`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=229 ; INSERT INTO `Classes` (`id_class`,`class_name`, `id_tutor`) VALUES (1, 'My Class', 1), (2, 'Sandeepan Class', 2); CREATE TABLE IF NOT EXISTS `Tags` ( `id_tag` int(10) unsigned NOT NULL auto_increment, `tag` varchar(255) default NULL, PRIMARY KEY (`id_tag`), UNIQUE KEY `tag` (`tag`), KEY `id_tag` (`id_tag`), KEY `tag_2` (`tag`), KEY `tag_3` (`tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=18 ; INSERT INTO `Tags` (`id_tag`, `tag`) VALUES (1, 'Bob'), (6, 'Class'), (2, 'Cratchit'), (4, 'Nath'), (3, 'Sandeepan'), (5, 'My'); CREATE TABLE IF NOT EXISTS `Tutors_Tag_Relations` ( `id_tag` int(10) unsigned NOT NULL default '0', `id_tutor` int(10) default NULL, KEY `Tutors_Tag_Relations` (`id_tag`), KEY `id_tutor` (`id_tutor`), KEY `id_tag` (`id_tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO `Tutors_Tag_Relations` (`id_tag`, `id_tutor`) VALUES (3, 1), (4, 1), (1, 2), (2, 2); CREATE TABLE IF NOT EXISTS `Class_Tag_Relations` ( `id_tag` int(10) unsigned NOT NULL default '0', `id_class` int(10) default NULL, `id_tutor` int(10) NOT NULL, KEY `Class_Tag_Relations` (`id_tag`), KEY `id_class` (`id_class`), KEY `id_tag` (`id_tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO `Class_Tag_Relations` (`id_tag`, `id_class`, `id_tutor`) VALUES (5, 1, 1), (6, 1, 1), (3, 2, 2), (6, 2, 2); In the present system data which I have given , tutor named "Sandeepan Nath" has has created class named "My Class" and tutor named "Bob Cratchit" has created class named "Sandeepan Class". Requirement - To execute a single query with limit on the results to show search results as per AND logic on the search keywords like this:- If "Sandeepan Class" is searched , Tutor Sandeepan Nath's record from Tutor Details table is returned(because "Sandeepan" is the firstname of Sandeepan Nath and Class is present in class name of Sandeepan's class) If "Class" is searched Both the tutors from the Tutor_details table are fetched because Class is present in the name of the class created by both the tutors. Following is what I have so far achieved (PHP Mysql):- <?php $searchTerm1 = "Sandeepan"; $searchTerm2 = "Class"; mysql_select_db("test"); $sql = "SELECT td.* FROM Tutor_Details AS td LEFT JOIN Tutors_Tag_Relations AS ttagrels ON td.id_tutor = ttagrels.id_tutor LEFT JOIN Classes AS wc ON td.id_tutor = wc.id_tutor LEFT JOIN Class_Tag_Relations AS wtagrels ON td.id_tutor = wtagrels.id_tutor LEFT JOIN Tags as t1 on ((t1.id_tag = ttagrels.id_tag) OR (t1.id_tag = wtagrels.id_tag)) LEFT JOIN Tags as t2 on ((t2.id_tag = ttagrels.id_tag) OR (t2.id_tag = wtagrels.id_tag)) where t1.tag LIKE '%".$searchTerm1."%' AND t2.tag LIKE '%".$searchTerm2."%' GROUP BY td.id_tutor LIMIT 10 "; $result = mysql_query($sql); echo $sql; if($result) { while($rec = mysql_fetch_object($result)) $recs[] = $rec; //$rec = mysql_fetch_object($result); echo "<br><br>"; if(is_array($recs)) { foreach($recs as $each) { print_r($each); echo "<br>"; } } } ?> But the results are :- If "Sandeepan Nath" is searched, it does not return any tutor (instead of only Sandeepan's row) If "Sandeepan Class" is searched, it returns Sandeepan's row (instead of Both tutors ) If "Bob Class" is searched, it correctly returns Bob's row If "Bob Cratchit" is searched, it does not return any tutor (instead of only

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• Boost.Log - Multiple processes to one log file?

  - by Kevin

  Reading through the doc for Boost.Log, it explains how to "fan out" into multiple files/sinks pretty well from one application, and how to get multiple threads working together to log to one place, but is there any documentation on how to get multiple processes logging to a single log file? What I imagine is that every process would log to its own "private" log file, but in addition, any messages above a certain severity would also go to a "common" log file. Is this possible with Boost.Log? Is there some configuration of the sinks that makes this easy? I understand that I will likely have the same "timestamp out of order" problem described in the FAQ here, but that's OK, as long as the timestamps are correct I can work with that. This is all on one machine, so no remote filesystem problems either.

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• SQL SERVER – Example of Performance Tuning for Advanced Users with DB Optimizer

  - by Pinal Dave

  Performance tuning is such a subject that everyone wants to master it. In beginning everybody is at a novice level and spend lots of time learning how to master the art of performance tuning. However, as we progress further the tuning of the system keeps on getting very difficult. I have understood in my early career there should be no need of ego in the technology field. There are always better solutions and better ideas out there and we should not resist them. Instead of resisting the change and new wave I personally adopt it. Here is a similar example, as I personally progress to the master level of performance tuning, I face that it is getting harder to come up with optimal solutions. In such scenarios I rely on various tools to teach me how I can do things better. Once I learn about tools, I am often able to come up with better solutions when I face the similar situation next time. A few days ago I had received a query where the user wanted to tune it further to get the maximum out of the performance. I have re-written the similar query with the help of AdventureWorks sample database. SELECT * FROM HumanResources.Employee e INNER JOIN HumanResources.EmployeeDepartmentHistory edh ON e.BusinessEntityID = edh.BusinessEntityID INNER JOIN HumanResources.Shift s ON edh.ShiftID = s.ShiftID; User had similar query to above query was used in very critical report and wanted to get best out of the query. When I looked at the query – here were my initial thoughts Use only column in the select statements as much as you want in the application Let us look at the query pattern and data workload and find out the optimal index for it Before I give further solutions I was told by the user that they need all the columns from all the tables and creating index was not allowed in their system. He can only re-write queries or use hints to further tune this query. Now I was in the constraint box – I believe * was not a great idea but if they wanted all the columns, I believe we can’t do much besides using *. Additionally, if I cannot create a further index, I must come up with some creative way to write this query. I personally do not like to use hints in my application but there are cases when hints work out magically and gives optimal solutions. Finally, I decided to use Embarcadero’s DB Optimizer. It is a fantastic tool and very helpful when it is about performance tuning. I have previously explained how it works over here. First open DBOptimizer and open Tuning Job from File >> New >> Tuning Job. Once you open DBOptimizer Tuning Job follow the various steps indicates in the following diagram. Essentially we will take our original script and will paste that into Step 1: New SQL Text and right after that we will enable Step 2 for Generating Various cases, Step 3 for Detailed Analysis and Step 4 for Executing each generated case. Finally we will click on Analysis in Step 5 which will generate the report detailed analysis in the result pan. The detailed pan looks like. It generates various cases of T-SQL based on the original query. It applies various hints and available hints to the query and generate various execution plans of the query and displays them in the resultant. You can clearly notice that original query had a cost of 0.0841 and logical reads about 607 pages. Whereas various options which are just following it has different execution cost as well logical read. There are few cases where we have higher logical read and there are few cases where as we have very low logical read. If we pay attention the very next row to original query have Merge_Join_Query in description and have lowest execution cost value of 0.044 and have lowest Logical Reads of 29. This row contains the query which is the most optimal re-write of the original query. Let us double click over it. Here is the query: SELECT * FROM HumanResources.Employee e INNER JOIN HumanResources.EmployeeDepartmentHistory edh ON e.BusinessEntityID = edh.BusinessEntityID INNER JOIN HumanResources.Shift s ON edh.ShiftID = s.ShiftID OPTION (MERGE JOIN) If you notice above query have additional hint of Merge Join. With the help of this Merge Join query hint this query is now performing much better than before. The entire process takes less than 60 seconds. Please note that it the join hint Merge Join was optimal for this query but it is not necessary that the same hint will be helpful in all the queries. Additionally, if the workload or data pattern changes the query hint of merge join may be no more optimal join. In that case, we will have to redo the entire exercise once again. This is the reason I do not like to use hints in my queries and I discourage all of my users to use the same. However, if you look at this example, this is a great case where hints are optimizing the performance of the query. It is humanly not possible to test out various query hints and index options with the query to figure out which is the most optimal solution. Sometimes, we need to depend on the efficiency tools like DB Optimizer to guide us the way and select the best option from the suggestion provided. Let me know what you think of this article as well your experience with DB Optimizer. Please leave a comment. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Joins, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• SQL Intersection Conference, Las Vegas MGM Grand 10-13 November 2014

  - by Paul White

  I am very pleased to announce that I will be speaking at the SQL Intersection conference in Las Vegas again this year. This time around, I am giving a full-day workshop, "Mastering SQL Server Execution Plan Analysis" as well as a two-part session, "Parallel Query Execution" during the main conference. The workshop is a pre-conference event, held on Sunday 9 November (straight after this year's PASS Summit). Being on Sunday gives you the whole Monday off to recover and before the...(read more)

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• Ajax, php, mysql not working mysql limit

  - by Hofmeister Ákos

  I have 3 files. list.php $articles = $mysqli->query("SELECT mainPictureBig, title, writer, writeDate, link FROM articles WHERE category=$this->category ORDER BY writeDate DESC LIMIT 0,10"); while($article = mysqli_fetch_row($articles)) { echo "<a href=\"".$this->url."/".$article[3]."/".$article[4]."\"><div id=\"listElement\"> <div id=\"listElementWallpaper\" style=\"background-image: url('category/img.jpg');\"></div> <div id=\"listElementContent\"><div id=\"listElementTitle\">".$article[1]."</div>".$this->giveWriter($article[2]).", ".$this->giveDate($article[3])."</div> </div></a>"; } $maximumElements=ceil($numberOfContent / 10) * 10; It's working, so there is no problem, it lists the first 10 elements from the sql table, and i got the $numberOfCOntent part also. Than i have a button: echo "<div id=\"listMore\"><div id=\"buttonOne\" onclick=\"listMore($this->category,$maximumElements)\">Load more</div></div>"; There is also no problem, i load the .js file, and it looks like: var from = 10; function listMore(categoryId, maximum) { $( "#listMore" ).slideUp( 200, function() { $( "#listMore" ).html("<center>Loading..</center>"); $( "#listMore" ).slideDown( 500, function() { $.post( "http://localhost/ajax.php", {type: "listMore", id: categoryId, sqlFrom: from} ) .done(function( elements ) { $("#listBody").append( elements ); if(maximum > from+10) { from = from+10; $( "#listMore" ).slideUp(200, function() { $( "#listMore" ).html("<div id=\"buttonOne\" onclick=\"listMore("+categoryId+","+maximum+")\">Load more</div>"); $( "#listMore" ).slideDown(200); }); } else $( "#listMore" ).slideUp(200); }); }); }); } And it's also working, and the problem is in the PHP file. As you can see, i'm sending an integer the "from" variable, the PHP file: $articles = $mysqli->query("SELECT mainPictureBig, title, writer, writeDate, link FROM articles WHERE category=$id ORDER BY writeDate DESC LIMIT $from,10"); It's also working, but not loading the next 10, only the next 9. So it skips the very next row and loads the rows only after the very first, so only 9. I tried to write here only the important part of the code, so i skipped some echo part etc. Any idea?

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• simple query solve it and give me the query [closed]

  - by Dharmendra

  table is : nobel(yr, subject, winner) Query is : In which years was the physics prize awrded but no chemistry prize. here 'winner' is the name of winner please solve

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• PHP Can't connect to MySQL on the production server

  - by Jairo Santos

  I'm having problems with connections with MySQL through PHP script. The MySQL user is root and I added GRANTS to root@'%' so I can connect from anywhere. Lets assume my MySQL host as "bigboy.com.br" The funny part is, from my local machine, on my test server, the script can connect to the MySQL server normally. But on the dedicated server where MySQL is running, the same PHP script gives me "Access denied for 'root'@'bigboy.com.br'" error.

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• Benchmark MySQL Cluster using flexAsynch: No free node id found for mysqld(API)?

  - by quanta

  I am going to benchmark MySQL Cluster using flexAsynch follow this guide, details as below: mkdir /usr/local/mysqlc732/ cd /usr/local/src/mysql-cluster-gpl-7.3.2 cmake . -DCMAKE_INSTALL_PREFIX=/usr/local/mysqlc732/ -DWITH_NDB_TEST=ON make make install Everything works fine until this step: # /usr/local/mysqlc732/bin/flexAsynch -t 1 -p 80 -l 2 -o 100 -c 100 -n FLEXASYNCH - Starting normal mode Perform benchmark of insert, update and delete transactions 1 number of concurrent threads 80 number of parallel operation per thread 100 transaction(s) per round 2 iterations Load Factor is 80% 25 attributes per table 1 is the number of 32 bit words per attribute Tables are with logging Transactions are executed with hint provided No force send is used, adaptive algorithm used Key Errors are disallowed Temporary Resource Errors are allowed Insufficient Space Errors are disallowed Node Recovery Errors are allowed Overload Errors are allowed Timeout Errors are allowed Internal NDB Errors are allowed User logic reported Errors are allowed Application Errors are disallowed Using table name TAB0 NDBT_ProgramExit: 1 - Failed ndb_cluster.log: WARNING -- Failed to allocate nodeid for API at 127.0.0.1. Returned eror: 'No free node id found for mysqld(API).' I also have recompiled with -DWITH_DEBUG=1 -DWITH_NDB_DEBUG=1. How can I run flexAsynch in the debug mode? # /usr/local/mysqlc732/bin/flexAsynch -h FLEXASYNCH Perform benchmark of insert, update and delete transactions Arguments: -t Number of threads to start, default 1 -p Number of parallel transactions per thread, default 32 -o Number of transactions per loop, default 500 -l Number of loops to run, default 1, 0=infinite -load_factor Number Load factor in index in percent (40 -> 99) -a Number of attributes, default 25 -c Number of operations per transaction -s Size of each attribute, default 1 (PK is always of size 1, independent of this value) -simple Use simple read to read from database -dirty Use dirty read to read from database -write Use writeTuple in insert and update -n Use standard table names -no_table_create Don't create tables in db -temp Create table(s) without logging -no_hint Don't give hint on where to execute transaction coordinator -adaptive Use adaptive send algorithm (default) -force Force send when communicating -non_adaptive Send at a 10 millisecond interval -local 1 = each thread its own node, 2 = round robin on node per parallel trans 3 = random node per parallel trans -ndbrecord Use NDB Record -r Number of extra loops -insert Only run inserts on standard table -read Only run reads on standard table -update Only run updates on standard table -delete Only run deletes on standard table -create_table Only run Create Table of standard table -drop_table Only run Drop Table on standard table -warmup_time Warmup Time before measurement starts -execution_time Execution Time where measurement is done -cooldown_time Cooldown time after measurement completed -table Number of standard table, default 0

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• How can I centralise MySQL data between 3 or more geographically separate servers?

  - by Andy Castles

  To explain the background to the question: We have a home-grown PHP application (for running online language-learning courses) running on a Linux server and using MySQL on localhost for saving user data (e.g. results of tests taken, marks of submitted work, time spent on different pages in the courses, etc). As we have students from different geographic locations we currently have 3 virtual servers hosted close to those locations (Spain, UK and Hong Kong) and users are added to the server closest to them (they access via different URLs, e.g. europe.domain.com, uk.domain.com and asia.domain.com). This works but is an administrative nightmare as we have to remember which server a particular user is on, and users can only connect to one server. We would like to somehow centralise the information so that all users are visible on any of the servers and users could connect to any of the 3 servers. The question is, what method should we use to implement this. It must be an issue that that lots of people have encountered but I haven't found anything conclusive after a fair bit of Googling around. The closest I have seen to solutions are: something like master-master replication, but I have read so many posts suggesting that this is not a good idea as things like auto_increment fields can break. circular replication, this sounded perfect but to quote from O'Reilly's High Performance MySQL, "In general, rings are brittle and best avoided" We're not against rewriting code in the application to make it work with whatever solution is required but I am not sure if replication is the correct thing to use. Thanks, Andy P.S. I should add that we experimented with writes to a central database and then using reads from a local database but the response time between the different servers for writing was pretty bad and it's also important that written data is available immediately for reading so if replication is too slow this could cause out-of-date data to be returned. Edit: I have been thinking about writing my own rudimentary replication script which would involve something like having each user given a server ID to say which is his "home server", e.g. users in asia would be marked as having the Hong Kong server as their own server. Then the replication scripts (which would be a PHP script set to run as a cron job reasonably frequently, e.g. every 15 minutes or so) would run independently on each of the servers in the system. They would go through the database and distribute any information about users with the "home server" set to the server that the script is running on to all of the other databases in the system. They would also need to suck new information which has been added to any of the other databases on the system where the "home server" flag is the server where the script is running. I would need to work out the details and build in the logic to deal with conflicts but I think it would be possible, however I wanted to make sure that there is not a correct solution for this already out there as it seems like it must be a problem that many people have already come across.

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• Symlink error when installing MySQL via Homebrew

  - by Asad Syed

  Trying to install MySQL via Homebrew. The install seems to work fine but i get an error: "Error: The linking step did not complete successfully The formula built, but is not symlinked into /usr/local You can try again using `brew link mysql'" Naturally, after this I ran: brew link mysql Which spat out: Error: Could not symlink file: /usr/local/Cellar/mysql/5.5.20/include/typelib.h /usr/local/include is not writable. You should change its permissions. So I ran it with sudo and got a "cowardly refusing to brew link mysql".

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• Change the mysql.sock that the system PHP uses

  - by Mark P.

  In the past I had installed MySQL as part of XAMPP in /Applications/XAMPP/ and the PHP that the system used (e.g. from command line) used /Applications/XAMPP/xamppfiles/var/mysql/mysql.sock to connect with MySQL. Now I have installed MySQL 5 with macports and I want my system PHP to be able to use that. I think I must set PHP to use /opt/local/var/run/mysql5/mysqld.sock but where do I set this? Is there a php.ini for CLI PHP?

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• mysql, how to log login attempts

  - by CarlosH

  From time to time there are failed login attempts in our mysql production server (mysql dashboard alert us). Is there a way to log every single success and failed login to mysql server without enabling the 'general_log'?. We thing general_log is not an option due it's a production server with high load.

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• nginx can't see MySQL

  - by user135235

  I have a fully working Joomla 2.5.6 install driven by a local MySQL server, but I'd like to test nginx to see if it's a faster web serving experience than Apache. \ PHP 5.4.6 (PHP54w) \ CentOS 6.2 \ Joomla 2.5.6 \ PHP54w-fpm.i386 (FastCGI process manager) \ php -m shows: mysql & mysqli modules loaded Nginx seems to have installed fine via yum, it can process a PHP-info file via FastCGI perfectly OK (http://37.128.190.241/php.php) but when I stop Apache, start nginx instead and visit my site I get: "Database connection error (1): The MySQL adapter 'mysqli' is not available." I've tried adjusting my Joomla configuration.php to use mysql instead of mysqli but I get the same basic error, only this time "Database connection error (1): The MySQL adapter 'mysql' is not available" of course! Can anyone think what the problem might be please? I did try explicitly setting extension = mysqli.so and extension = mysql.so in my php.ini to try and force the issue (despite php -m showing they were both successfully loaded anyway) - no difference. I have a pretty standard nginx default.conf: server { listen 80; server_name www.MYDOMAIN.com; server_name_in_redirect off; access_log /var/log/nginx/localhost.access_log main; error_log /var/log/nginx/localhost.error_log info; root /var/www/html/MYROOT_DIR; index index.php index.html index.htm default.html default.htm; # Support Clean (aka Search Engine Friendly) URLs location / { try_files $uri $uri/ /index.php?q=$uri&$args; } # deny running scripts inside writable directories location ~* /(images|cache|media|logs|tmp)/.*\.(php|pl|py|jsp|asp|sh|cgi)$ { return 403; error_page 403 /403_error.html; } location ~ \.php$ { fastcgi_pass 127.0.0.1:9000; fastcgi_index index.php; include fastcgi_params; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include /etc/nginx/fastcgi.conf; } # caching of files location ~* \.(ico|pdf|flv)$ { expires 1y; } location ~* \.(js|css|png|jpg|jpeg|gif|swf|xml|txt)$ { expires 14d; } } Snip of output from phpinfo under nginx: Server API FPM/FastCGI Virtual Directory Support disabled Configuration File (php.ini) Path /etc Loaded Configuration File /etc/php.ini Scan this dir for additional .ini files /etc/php.d Additional .ini files parsed /etc/php.d/curl.ini, /etc/php.d/fileinfo.ini, /etc/php.d/json.ini, /etc/php.d/phar.ini, /etc/php.d/zip.ini Snip of output from phpinfo under Apache: Server API Apache 2.0 Handler Virtual Directory Support disabled Configuration File (php.ini) Path /etc Loaded Configuration File /etc/php.ini Scan this dir for additional .ini files /etc/php.d Additional .ini files parsed /etc/php.d/curl.ini, /etc/php.d/fileinfo.ini, /etc/php.d/json.ini, /etc/php.d/mysql.ini, /etc/php.d/mysqli.ini, /etc/php.d/pdo.ini, /etc/php.d/pdo_mysql.ini, /etc/php.d/pdo_sqlite.ini, /etc/php.d/phar.ini, /etc/php.d/sqlite3.ini, /etc/php.d/zip.ini Seems that with Apache, PHP is loading substantially more additional .ini files, including ones relating to mysql (mysql.ini, mysqli.ini, pdo_mysql.ini) than nginx. Any ideas how I get nginix to also call these additional .ini's ? Thanks in advance, Steve

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