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  • Is jQuery modular? How to trim it down?

    - by usr
    Uncompressed, jQuery is 160KB in size. I did not see a way to exclude seldomly used parts of it like with jQuery UI. How can I reduce the (compressed and minified) file size of jQuery? I am quite concerned because dial-up lines and slow machines/browsers are very common among users of my site.

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  • Pie chart of *nix shell use [closed]

    - by hayk.mart
    I've encountered a situation where it would be very helpful to know the breakdown of shell use by percentage. For example, I'm looking for something like bash: X%, sh: Y%, csh, tcsh, zsh, ksh, dash, etc.. Obviously, I know there are several complications - multiple shells, the definition of "use", uncertainty and so forth, but I would like to see an informed answer derived from actual data and based on some stated metric, even if the result could be horribly wrong. Bonus if there is historical data demonstrating a shift in preferences.

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  • Which is the fastest idiomatic way to add all vectors (in the math sense) inside a Scala list?

    - by davips
    I have two solutions, but one doesn't compile and the other, I think, could be better: object Foo extends App { val vectors = List(List(1,2,3), List(2,2,3), List(1,2,2)) //just a stupid example //transposing println("vectors = " + vectors.transpose.map (_.sum)) //it prints vectors = List(4, 6, 8) //folding vectors.reduce { case (a, b) => (a zip b) map { case (x, y) => x + y } } //compiler says: missing parameter type for exp. function; arg. types must be fully known }

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  • Is it good practice to separate code into blocks?

    - by LM
    If I have a method that does multiple, related things, is it good practice to stick each "thing" that the method does into a seperate block? Ex. { int var //Code } { int var //More Code } It would help reduce the number of local variables, and make the code more readable, but I'm not sure if it's a good idea.

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  • How Can I Move the Web Browsers Scrollbar and Style It (CSS)?

    - by ThatMacLad
    Upon visiting the site that I'm currently working on you would immediately notice the fact that a bar placed at the top of your browser follows you down as you scroll through the blogs posts. I was wondering if there was any method which I could use to both shift the scrollbar below the bar rather than beside it and then style the bar to suit the sites style. Image:

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  • php pconnect vs connect

    - by user192344
    if i have a script which insert a data then exit the script will be opened by 100 user at same time or within 2 mins actually im doing email tracking so pconnect is bettwe or connect is better to reduce the resource i have close when after insert

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  • Is there image phase correlation libraries available for Python?

    - by kamasudra
    A project that involves image processing, i.e. to calculate the angular shift of the same image when shifted by a medium of certain Refractive Index. We have to build an app that correlates the 2 images (phase/2D correlation?) and then plot using Chaco and Mayavi (2 libraries in Python). Is there any other existing template software (FOSS) that we can base our app on, or use it as a reference?

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  • javascript - query object graph?

    - by Scott
    Given an object like this: var obj = { first:{ second:{ third:'hi there' } } }; And a key like this "first.second.third" How can I get the value of the nested object "hi there"? I think maybe the Array.reduce function could help, but not sure.

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  • Two quick Mathematica questions

    - by sciguy
    How do I remove the numbers on the x-axis only not the y-axis? Is it possible to shift the y-axis without shifting the functions? What I mean is, instead of having the y-axis at x = 0, could I have it at x = -5?

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  • Creating a good search solution

    - by Daniel
    I have an app where users have a role,a username,faculty and so on.When I'm looking for a list of users by their role or faculty or anything they have in common I can call (among others possible) @users = User.find_by_role(params[:role]) #or @users = User.find_by_shift(params[:shift]) So it keeps the system Class.find_by_property So the question is: What if at different points users lists should be generated based on different properties.I mean: I'm passing from different links params[:role] or params[:faculty] or params[:department] to my list action in my users controller.As I see it all has to be in that action,but which parameter should the search be made by?

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  • What free space thresholds/limits are advisable for 640 GB and 2 TB hard disk drives with ZEVO ZFS on OS X?

    - by Graham Perrin
    Assuming that free space advice for ZEVO will not differ from advice for other modern implementations of ZFS … Question Please, what percentages or amounts of free space are advisable for hard disk drives of the following sizes? 640 GB 2 TB Thoughts A standard answer for modern implementations of ZFS might be "no more than 96 percent full". However if apply that to (say) a single-disk 640 GB dataset where some of the files most commonly used (by VirtualBox) are larger than 15 GB each, then I guess that blocks for those files will become sub optimally spread across the platters with around 26 GB free. I read that in most cases, fragmentation and defragmentation should not be a concern with ZFS. Sill, I like the mental picture of most fragments of a large .vdi in reasonably close proximity to each other. (Do features of ZFS make that wish for proximity too old-fashioned?) Side note: there might arise the question of how to optimise performance after a threshold is 'broken'. If it arises, I'll keep it separate. Background On a 640 GB StoreJet Transcend (product ID 0x2329) in the past I probably went beyond an advisable threshold. Currently the largest file is around 17 GB –  – and I doubt that any .vdi or other file on this disk will grow beyond 40 GB. (Ignore the purple masses, those are bundles of 8 MB band files.) Without HFS Plus: the thresholds of twenty, ten and five percent that I associate with Mobile Time Machine file system need not apply. I currently use ZEVO Community Edition 1.1.1 with Mountain Lion, OS X 10.8.2, but I'd like answers to be not too version-specific. References, chronological order ZFS Block Allocation (Jeff Bonwick's Blog) (2006-11-04) Space Maps (Jeff Bonwick's Blog) (2007-09-13) Doubling Exchange Performance (Bizarre ! Vous avez dit Bizarre ?) (2010-03-11) … So to solve this problem, what went in 2010/Q1 software release is multifold. The most important thing is: we increased the threshold at which we switched from 'first fit' (go fast) to 'best fit' (pack tight) from 70% full to 96% full. With TB drives, each slab is at least 5GB and 4% is still 200MB plenty of space and no need to do anything radical before that. This gave us the biggest bang. Second, instead of trying to reuse the same primary slabs until it failed an allocation we decided to stop giving the primary slab this preferential threatment as soon as the biggest allocation that could be satisfied by a slab was down to 128K (metaslab_df_alloc_threshold). At that point we were ready to switch to another slab that had more free space. We also decided to reduce the SMO bonus. Before, a slab that was 50% empty was preferred over slabs that had never been used. In order to foster more write aggregation, we reduced the threshold to 33% empty. This means that a random write workload now spread to more slabs where each one will have larger amount of free space leading to more write aggregation. Finally we also saw that slab loading was contributing to lower performance and implemented a slab prefetch mechanism to reduce down time associated with that operation. The conjunction of all these changes lead to 50% improved OLTP and 70% reduced variability from run to run … OLTP Improvements in Sun Storage 7000 2010.Q1 (Performance Profiles) (2010-03-11) Alasdair on Everything » ZFS runs really slowly when free disk usage goes above 80% (2010-07-18) where commentary includes: … OpenSolaris has changed this in onnv revision 11146 … [CFT] Improved ZFS metaslab code (faster write speed) (2010-08-22)

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  • Need help merging 2 AHK scripts

    - by Mikey
    i have two functioning scripts that i want to merge into a single AHK File. My problem is that when i combine both scripts, the second script doesnt function or causes an error on script 1. Either way, script 2 ist not functioning at all. Here are some facts: Script 1 = a simple menu script where i want to assign hotkeys to. Script 2 = A small launcher script from a user named Tertius in autohotkey forum. Can someone please look at both codes and help me merge this? The INI File for script 2 looks like this: Keywords.ini npff|Firefox|Firefox gm|Gmail|http://gmail.google.com ;;;;;;;;;;;; BEGIN SCRIPT 2 DetectHiddenWindows, On SetWinDelay, -1 SetKeyDelay, -1 SetBatchLines, -1 GoSub Remin SetTimer, Remin, % 1000 * 60 Loop, read, %A_ScriptDir%\keywords.ini { LineNumber = %A_Index% Loop, parse, A_LoopReadLine, | { if (A_Index == 1) abbrevs%LineNumber% := A_LoopField else if (A_Index == 2) tips%LineNumber% := A_LoopField else if (A_Index == 3) programs%LineNumber% := A_LoopField else if (A_Index == 4) params%LineNumber% := A_LoopField } tosay := abbrevs%LineNumber% } cnt = %LineNumber% Loop { Input, Key, L1 V, % "{LControl}{RControl}{LAlt}{RAlt}{LShift}{RShift}{LWin}{RWin}" . "{AppsKey}{F1}{F2}{F3}{F4}{F5}{F6}{F7}{F8}{F9}{F10}{F11}{F12}{Left}{Right}{Up}{Down}" . "{Home}{End}{PgUp}{PgDn}{Del}{Ins}{BS}{Capslock}{Numlock}{PrintScreen}{Pause}{Escape}" If( ( Asc(Key) = 65 && Asc(Key) <= 90 ) || ( Asc(Key) = 97 && Asc(Key) <= 122 ) ) Word .= Key Else { Word := "" Continue } tipup := false Loop %cnt% { if (Word == abbrevs%A_index%) { tip := tips%A_index% ToolTip %tip% tipup := true } else { if (tipup == false) ToolTip } } } $Tab:: Loop %cnt% { if (Word != "" && Word == abbrevs%A_index%) { Word := "" StringLen, len, abbrevs%A_index% Loop %len% Send {Shift Down}{Left} Send {Shift Up}{BS} ToolTip program := programs%A_index% param := params%A_index% run, %program% %param% return } } Word := "" Send {Tab} Return ~LButton:: ~MButton:: ~RButton:: ~XButton1:: ~XButton2:: Word := "" Tooltip Return Remin: WinMinimize, %A_ScriptFullPath% - AutoHotkey v WinHide, %A_ScriptFullPath% - AutoHotkey v Return ;;;;;;;;;; END SCRIPT 2 ;;;;;;;;;;;;;; BEGIN SCRIPT 1 ;This is a working script that creates a popup menu. ; Create the popup menu by adding some items to it. Menu, MyMenu, Add, FIS 201, MenuHandler Menu, MyMenu, Add ; Add a separator line. Menu, MyMenu, Color, Lime, Single ;Define the Menu Color ; Create another menu destined to become a submenu of the above menu. Menu, Submenu1, Add, Item2, MenuHandler Menu, Submenu1, Add, Item3, MenuHandler Menu, Submenu1, Color, Yellow ;Define the Menu Color ; Create another menu destined to become a submenu of the above menu. Menu, Submenu2, Add, Item1a, MenuHandler Menu, Submenu2, Add, Item2a, MenuHandler Menu, Submenu2, Add, Item3a, MenuHandler Menu, Submenu2, Add, Item4a, MenuHandler Menu, Submenu2, Add, Item5a, MenuHandler Menu, Submenu2, Add, Item6a, MenuHandler Menu, Submenu2, Color, Aqua ;Define the Menu Color ; Create a submenu in the first menu (a right-arrow indicator). When the user selects it, the second menu is displayed. Menu, MyMenu, Add, BKRS 119, :Submenu1 Menu, MyMenu, Add ; Add a separator line below the submenu. Menu, MyMenu, Add, BKRS 201, :Submenu2 Menu, MyMenu, Add ; Add a separator line below the submenu. Menu, MyMenu, Add ; Add a separator line below the submenu. Menu, MyMenu, Add, Google Search, Google ; Add another menu item beneath the submenu. return ; End of script's auto-execute section. Capslock & LButton::Menu, MyMenu, Show ; i.e. press the Win-Z hotkey to show the menu. MenuHandler: MsgBox You selected %A_ThisMenuItem% from the menu %A_ThisMenu%. return ;;;;;;;;;;;;;;;;;;;;;;;; ;;;;;;;; Google Search ;;; FORMAT InputBox, OutputVar [, Title, Prompt, HIDE, Width, Height, X, Y, Font, Timeout, Default] Google: InputBox, SearchTerm, Google Search,,,350, 120 if SearchTerm < "" Run http://www.google.de/search?sclient=psy-ab&hl=de&site=&source=hp&q=%SearchTerm%&btnG=Suche return ; Make Window Transparent Space::WinSet, Transparent, 125, A ^!Space UP::WinSet, Transparent, OFF, A return ;;;;;;;;;;; END SCRIPT 1 Help is appreciated. Kind Regards, Mikey

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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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  • Oracle Data Mining a Star Schema: Telco Churn Case Study

    - by charlie.berger
    There is a complete and detailed Telco Churn case study "How to" Blog Series just posted by Ari Mozes, ODM Dev. Manager.  In it, Ari provides detailed guidance in how to leverage various strengths of Oracle Data Mining including the ability to: mine Star Schemas and join tables and views together to obtain a complete 360 degree view of a customer combine transactional data e.g. call record detail (CDR) data, etc. define complex data transformation, model build and model deploy analytical methodologies inside the Database  His blog is posted in a multi-part series.  Below are some opening excerpts for the first 3 blog entries.  This is an excellent resource for any novice to skilled data miner who wants to gain competitive advantage by mining their data inside the Oracle Database.  Many thanks Ari! Mining a Star Schema: Telco Churn Case Study (1 of 3) One of the strengths of Oracle Data Mining is the ability to mine star schemas with minimal effort.  Star schemas are commonly used in relational databases, and they often contain rich data with interesting patterns.  While dimension tables may contain interesting demographics, fact tables will often contain user behavior, such as phone usage or purchase patterns.  Both of these aspects - demographics and usage patterns - can provide insight into behavior.Churn is a critical problem in the telecommunications industry, and companies go to great lengths to reduce the churn of their customer base.  One case study1 describes a telecommunications scenario involving understanding, and identification of, churn, where the underlying data is present in a star schema.  That case study is a good example for demonstrating just how natural it is for Oracle Data Mining to analyze a star schema, so it will be used as the basis for this series of posts...... Mining a Star Schema: Telco Churn Case Study (2 of 3) This post will follow the transformation steps as described in the case study, but will use Oracle SQL as the means for preparing data.  Please see the previous post for background material, including links to the case study and to scripts that can be used to replicate the stages in these posts.1) Handling missing values for call data recordsThe CDR_T table records the number of phone minutes used by a customer per month and per call type (tariff).  For example, the table may contain one record corresponding to the number of peak (call type) minutes in January for a specific customer, and another record associated with international calls in March for the same customer.  This table is likely to be fairly dense (most type-month combinations for a given customer will be present) due to the coarse level of aggregation, but there may be some missing values.  Missing entries may occur for a number of reasons: the customer made no calls of a particular type in a particular month, the customer switched providers during the timeframe, or perhaps there is a data entry problem.  In the first situation, the correct interpretation of a missing entry would be to assume that the number of minutes for the type-month combination is zero.  In the other situations, it is not appropriate to assume zero, but rather derive some representative value to replace the missing entries.  The referenced case study takes the latter approach.  The data is segmented by customer and call type, and within a given customer-call type combination, an average number of minutes is computed and used as a replacement value.In SQL, we need to generate additional rows for the missing entries and populate those rows with appropriate values.  To generate the missing rows, Oracle's partition outer join feature is a perfect fit.  select cust_id, cdre.tariff, cdre.month, minsfrom cdr_t cdr partition by (cust_id) right outer join     (select distinct tariff, month from cdr_t) cdre     on (cdr.month = cdre.month and cdr.tariff = cdre.tariff);   ....... Mining a Star Schema: Telco Churn Case Study (3 of 3) Now that the "difficult" work is complete - preparing the data - we can move to building a predictive model to help identify and understand churn.The case study suggests that separate models be built for different customer segments (high, medium, low, and very low value customer groups).  To reduce the data to a single segment, a filter can be applied: create or replace view churn_data_high asselect * from churn_prep where value_band = 'HIGH'; It is simple to take a quick look at the predictive aspects of the data on a univariate basis.  While this does not capture the more complex multi-variate effects as would occur with the full-blown data mining algorithms, it can give a quick feel as to the predictive aspects of the data as well as validate the data preparation steps.  Oracle Data Mining includes a predictive analytics package which enables quick analysis. begin  dbms_predictive_analytics.explain(   'churn_data_high','churn_m6','expl_churn_tab'); end; /select * from expl_churn_tab where rank <= 5 order by rank; ATTRIBUTE_NAME       ATTRIBUTE_SUBNAME EXPLANATORY_VALUE RANK-------------------- ----------------- ----------------- ----------LOS_BAND                                      .069167052          1MINS_PER_TARIFF_MON  PEAK-5                   .034881648          2REV_PER_MON          REV-5                    .034527798          3DROPPED_CALLS                                 .028110322          4MINS_PER_TARIFF_MON  PEAK-4                   .024698149          5From the above results, it is clear that some predictors do contain information to help identify churn (explanatory value > 0).  The strongest uni-variate predictor of churn appears to be the customer's (binned) length of service.  The second strongest churn indicator appears to be the number of peak minutes used in the most recent month.  The subname column contains the interior piece of the DM_NESTED_NUMERICALS column described in the previous post.  By using the object relational approach, many related predictors are included within a single top-level column. .....   NOTE:  These are just EXCERPTS.  Click here to start reading the Oracle Data Mining a Star Schema: Telco Churn Case Study from the beginning.    

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