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  • PHP Echo a large block of text

    - by Thomas
    Im new to PHP and I can't figure out what the rules are for using the echo function. For example, if I need to echo a large block of css/js, do I need to add echo to each line of text or is there a way to echo a large block of code with a single echo? When I try to echo a big block of code like this one, I get an error: if (is_single()) { echo '<link type="text/css" rel="stylesheet" href="http://jotform.com/css/styles/form.css"/><style type="text/css"> .form-label{ width:150px !important; } .form-label-left{ width:150px !important; } .form-line{ padding:10px; } .form-label-right{ width:150px !important; } body, html{ margin:0; padding:0; background:false; } .form-all{ margin:0px auto; padding-top:20px; width:650px !important; color:Black; font-family:Verdana; font-size:12px; } </style> <link href="http://jotform.com/css/calendarview.css" rel="stylesheet" type="text/css" /> <script src="http://jotform.com/js/prototype.js" type="text/javascript"></script> <script src="http://jotform.com/js/protoplus.js" type="text/javascript"></script> <script src="http://jotform.com/js/protoplus-ui.js" type="text/javascript"></script> <script src="http://jotform.com/js/jotform.js?v3" type="text/javascript"></script> <script src="http://jotform.com/js/location.js" type="text/javascript"></script> <script src="http://jotform.com/js/calendarview.js" type="text/javascript"></script> <script type="text/javascript"> JotForm.init(function(){ $('input_6').hint('ex: [email protected]'); }); </script>'; }else { } Is there a better way to echo large blocks of code without a lot of work (adding echo to each line for example)?

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  • cc1plus: error: include: Value too large for defined data type when compiling with g++

    - by Android
    I am making a project that should compile on Windows and Linux. I have made the project in Visual Studio and then made a makefile for linux. I created all the files in Windows with VS. It compiles and runs perfectly in VS but when I run the makefile and it runs g++ I get $ g++ -c -I include -o obj/Linux_x86/Server.obj src/Server.cpp cc1plus: error: include: Value too large for defined data type cc1plus: error: src/Server.cpp: Value too large for defined data type The code is nothing more than a Hello World atm. I just wanted to make sure that everything was working before I started development. I have tried searching but to no avail. Any help would be appreciated.

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  • Compressing large text data before storing into db?

    - by Steel Plume
    Hello, I have application which retrieves many large log files from a system LAN. Currently I put all log files on Postgresql, the table has a column type TEXT and I don't plan any search on this text column because I use another external process which nightly retrieves all files and scans for sensitive pattern. So the column value could be also a BLOB or a CLOB, but now my question is the following, the database has already its compression system, but could I improve this compression manually like with common compressor utilities? And above all WHAT IF I manually pre-compress the large file and then I put as binary into the data table, is it unuseful as database system provides its internal compression?

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  • large images on toolbar

    - by cagi
    Hi to all. Is it possible to have a 32x32 images on toolbar while keeping 16x16 in menu. I created toolbar resource (IDR_TOOLBAR1) and set it's button size as 32x32 and load it: if (!m_wndToolBar.CreateEx(this,...) || !m_wndToolBar.LoadToolBar(IDR_TOOLBAR1 )) { ... } When started toolbar correctly shows large btn images but menu is also enlarged showing 32x32 item images!? How to have menu images as before (small 16x16) My app info: SDI, VS2008 Thanks in advance! P.S. I have noticed an option check box "Large Images" in quick customization dialog under options tab. The dialog is enabled by default in my project. When selecting that option images buttons enlarge instantly, the problem is the new sized images is created from small ones and quality is poor. It would be better if new images list is loaded? Once again thanks in advance!

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  • Project design / FS layout for large django projects

    - by rcreswick
    What is the best way to layout a large django project? The tutuorials provide simple instructions for setting up apps, models, and views, but there is less information about how apps and projects should be broken down, how much sharing is allowable/necessary between apps in a typical project (obviously that is largely dependent on the project) and how/where general templates should be kept. Does anyone have examples, suggestions, and explanations as to why a certain project layout is better than another? I am particularly interested in the incorporation of large numbers of unit tests (2-5x the size of the actual code base) and string externalization / templates.

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  • Finding Errant Output to System.out in Large Java Program

    - by SvrGuy
    Hi, We have a large java code base [~1 M Lines]. Buried (somewhere) in the code base is some old debug output to System.out that we want to remove (its cluttering things up). The problem is: out code base is so large that we can't easily find where the output is coming from. What we want is a way to see where System.out.println is getting called from (like a stack trace from an exception or some such). Its not suitable to debugging -- the errant output is coming from some errant thread somewhere etc. Any ideas on how to track the source of this errant output down? PS: 99.99% of calls to System.out are legit, and we have thousands of them, so simply searching the code base for System.out calls is not a solution!

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  • Tool to diagonalize large matrices

    - by Xodarap
    I want to compute a diffusion kernel, which involves taking exp(b*A) where A is a large matrix. In order to play with values of b, I'd like to diagonalize A (so that exp(A) runs quickly). My matrix is about 25k x 25k, but is very sparse - only about 60k values are non-zero. Matlab's "eigs" function runs of out memory, as does octave's "eig" and R's "eigen." Is there a tool to find the decomposition of large, sparse matrices? Dunno if this is relevant, but A is an adjacency matrix, so it's symmetric, and it is full rank.

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  • Java regex replace multiple file paths in a large String

    - by Joe Goble
    So a Regex pro I am not, and I'm looking for a good way to do this. I have a large string which contains a variable number <img> tags. I need to change the path on all of these images to images/. The large string also contains other stuff not just these img's. <img src='http://server.com/stuff1/img1.jpg' /> <img src='http://server.com/stuff2/img2.png' /> Replacing the server name with a ReplaceAll() I could do, it's the variable path in the middle I'm clueless on how to include. It doesn't necessarily need to be a regex, but looping through the entire string just seems wasteful.

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  • Looking for easy way to analyze var_dump (PHP) on large objects

    - by sdek
    I know (PHP's) var_dump is supposed to be "human readable" and all, but analyzing large objects is just a pain in the neck. I am struggling to make sense of a few of the large objects that are being passed around in a script that we are running. (I know that using xdebug with and IDE is a good idea, but I have not been able to get xdebug to run on this project for some reason - several days lost, ugh). Any ideas on how I can easily digest the contents of a really big var_dump? Any ideas are welcome... Although I am hoping that there is something similar to Thomas Frank's JSON tool (where you just put some code in and it gives a nice graphical representation).

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  • Javascript: Passing large objects or strings between function considered a bad practice

    - by Mr. Smee
    Is it considered a bad practice to pass around a large string or object (lets say from an ajax response) between functions? Would it be beneficial in any way save the response in a variable and keep reusing that variable? So in the code it would be something like this: var response; $.post(url, function(resp){ response = resp; }) function doSomething() { // do something with the response here } vs $.post(url, function(resp){ doSomething(resp); }) function doSomething(resp) { // do something with the resp here } Assume resp is a large object or string and it can be passed around between multiple functions.

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  • Downloading large files with AFNetworking

    - by goodfella
    I'm trying to implement downloading of a large file and show to user current progress, but block in: -[AFURLConnectionOperation setDownloadProgressBlock:] returns incorrect bytesRead and totalBytesRead values (they are smaller than they should be). For example: If I have a 90MB file and when it downloads completely, latest block invocation in setDownloadProgressBlock: gives me totalBytesRead value about 30MB. On other side, if file is 2MB large, latest block invocation gives correct totalBytesRead 2MB value. AFNetworking is updated to the latest version from github. If AFNetworking can't do it correctly, what solution can I use? Edit: I've determined that even if file is not downloaded completely (and this happens every time with relatively big file) AFNetworking calls success block in: -[AFHTTPRequestOperation setCompletionBlockWithSuccess:failure] I asked a similar question here about this situation, but didn't get any answers. I can check in code downloaded and real file sizes, but AFNetworking has no API for continuation of partial download.

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  • large test data for knapsack problem

    - by user347918
    i am researcher student. I am searching large data for knapsack problem. I wanted test my algorithm for knapsack problem. But i couldn't find large data. I need data has 1000 item and capacity is no matter. The point is item as much as huge it's good for my algorithm. Is there any huge data available in internet. Does anybody know please guys i need urgent.

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  • Best place to store large amounts of session data

    - by audiopleb
    I'm building an application that needs to store and re-use large amounts of data per session. So for example, the user selects a large list of list items (say 2000 or significantly more) which have a numeric value as their key then they save that selection and go off to another page, do something else and then come back to the original page and need to load their selections into that page. What is the quickest and most efficient way of storing and reusing that data? In a text file saved with the session id? In a temp db table? In the session data itself (db sessions so size isn't a limit) using a serialised string or using gzcompress or gzencode? Any advice or insight would be great! Thank you!!!!

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  • setting syntax on in vim with large C file makes complete very slow

    - by skeept
    when I have syntax on in a large C file (about 8000) lines the completion ctrl-p and ctrl-n are very slow (more than 20). When I turn syntax off then completion takes less than a second. Any ideas on how to solve this? Thanks! EDIT: I figured out a minimal way of reproducing this behaviour: with an empty .vimrc and .vim folder the only changed settings are :set syntax on :set foldmethod=syntax and a large C file to edit, completion (and even general editing) becomes very very slow.

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  • MySQL Config File for Large System

    - by Jonathon
    We are running MySQL on a Windows 2003 Server Enterpise Edition box. MySQL is about the only program running on the box. We have approx. 8 slaves replicated to it, but my understanding is that having multiple slaves connecting to the same master does not significantly slow down performance, if at all. The master server has 16G RAM, 10 Terabyte drives in RAID 10, and four dual-core processors. From what I have seen from other sites, we have a really robust machine as our master db server. We just upgraded from a machine with only 4G RAM, but with similar hard drives, RAID, etc. It also ran Apache on it, so it was our db server and our application server. It was getting a little slow, so we split the db server onto this new machine and kept the application server on the first machine. We also distributed the application load amongst a few of our other slave servers, which also run the application. The problem is the new db server has mysqld.exe consuming 95-100% of CPU almost all the time and is really causing the app to run slowly. I know we have several queries and table structures that could be better optimized, but since they worked okay on the older, smaller server, I assume that our my.ini (MySQL config) file is not properly configured. Most of what I see on the net is for setting config files on small machines, so can anyone help me get the my.ini file correct for a large dedicated machine like ours? I just don't see how mysqld could get so bogged down! FYI: We have about 100 queries per second. We only use MyISAM tables, so skip-innodb is set in the ini file. And yes, I know it is reading the ini file correctly because I can change some settings (like the server-id and it will kill the server at startup). Here is the my.ini file: #MySQL Server Instance Configuration File # ---------------------------------------------------------------------- # Generated by the MySQL Server Instance Configuration Wizard # # # Installation Instructions # ---------------------------------------------------------------------- # # On Linux you can copy this file to /etc/my.cnf to set global options, # mysql-data-dir/my.cnf to set server-specific options # (@localstatedir@ for this installation) or to # ~/.my.cnf to set user-specific options. # # On Windows you should keep this file in the installation directory # of your server (e.g. C:\Program Files\MySQL\MySQL Server X.Y). To # make sure the server reads the config file use the startup option # "--defaults-file". # # To run run the server from the command line, execute this in a # command line shell, e.g. # mysqld --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini" # # To install the server as a Windows service manually, execute this in a # command line shell, e.g. # mysqld --install MySQLXY --defaults-file="C:\Program Files\MySQL\MySQL Server X.Y\my.ini" # # And then execute this in a command line shell to start the server, e.g. # net start MySQLXY # # # Guildlines for editing this file # ---------------------------------------------------------------------- # # In this file, you can use all long options that the program supports. # If you want to know the options a program supports, start the program # with the "--help" option. # # More detailed information about the individual options can also be # found in the manual. # # # CLIENT SECTION # ---------------------------------------------------------------------- # # The following options will be read by MySQL client applications. # Note that only client applications shipped by MySQL are guaranteed # to read this section. If you want your own MySQL client program to # honor these values, you need to specify it as an option during the # MySQL client library initialization. # [client] port=3306 [mysql] default-character-set=latin1 # SERVER SECTION # ---------------------------------------------------------------------- # # The following options will be read by the MySQL Server. Make sure that # you have installed the server correctly (see above) so it reads this # file. # [mysqld] # The TCP/IP Port the MySQL Server will listen on port=3306 #Path to installation directory. All paths are usually resolved relative to this. basedir="D:/MySQL/" #Path to the database root datadir="D:/MySQL/data" # The default character set that will be used when a new schema or table is # created and no character set is defined default-character-set=latin1 # The default storage engine that will be used when create new tables when default-storage-engine=MYISAM # Set the SQL mode to strict #sql-mode="STRICT_TRANS_TABLES,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION" # we changed this because there are a couple of queries that can get blocked otherwise sql-mode="" #performance configs skip-locking max_allowed_packet = 1M table_open_cache = 512 # The maximum amount of concurrent sessions the MySQL server will # allow. One of these connections will be reserved for a user with # SUPER privileges to allow the administrator to login even if the # connection limit has been reached. max_connections=1510 # Query cache is used to cache SELECT results and later return them # without actual executing the same query once again. Having the query # cache enabled may result in significant speed improvements, if your # have a lot of identical queries and rarely changing tables. See the # "Qcache_lowmem_prunes" status variable to check if the current value # is high enough for your load. # Note: In case your tables change very often or if your queries are # textually different every time, the query cache may result in a # slowdown instead of a performance improvement. query_cache_size=168M # The number of open tables for all threads. Increasing this value # increases the number of file descriptors that mysqld requires. # Therefore you have to make sure to set the amount of open files # allowed to at least 4096 in the variable "open-files-limit" in # section [mysqld_safe] table_cache=3020 # Maximum size for internal (in-memory) temporary tables. If a table # grows larger than this value, it is automatically converted to disk # based table This limitation is for a single table. There can be many # of them. tmp_table_size=30M # How many threads we should keep in a cache for reuse. When a client # disconnects, the client's threads are put in the cache if there aren't # more than thread_cache_size threads from before. This greatly reduces # the amount of thread creations needed if you have a lot of new # connections. (Normally this doesn't give a notable performance # improvement if you have a good thread implementation.) thread_cache_size=64 #*** MyISAM Specific options # The maximum size of the temporary file MySQL is allowed to use while # recreating the index (during REPAIR, ALTER TABLE or LOAD DATA INFILE. # If the file-size would be bigger than this, the index will be created # through the key cache (which is slower). myisam_max_sort_file_size=100G # If the temporary file used for fast index creation would be bigger # than using the key cache by the amount specified here, then prefer the # key cache method. This is mainly used to force long character keys in # large tables to use the slower key cache method to create the index. myisam_sort_buffer_size=64M # Size of the Key Buffer, used to cache index blocks for MyISAM tables. # Do not set it larger than 30% of your available memory, as some memory # is also required by the OS to cache rows. Even if you're not using # MyISAM tables, you should still set it to 8-64M as it will also be # used for internal temporary disk tables. key_buffer_size=3072M # Size of the buffer used for doing full table scans of MyISAM tables. # Allocated per thread, if a full scan is needed. read_buffer_size=2M read_rnd_buffer_size=8M # This buffer is allocated when MySQL needs to rebuild the index in # REPAIR, OPTIMZE, ALTER table statements as well as in LOAD DATA INFILE # into an empty table. It is allocated per thread so be careful with # large settings. sort_buffer_size=2M #*** INNODB Specific options *** innodb_data_home_dir="D:/MySQL InnoDB Datafiles/" # Use this option if you have a MySQL server with InnoDB support enabled # but you do not plan to use it. This will save memory and disk space # and speed up some things. skip-innodb # Additional memory pool that is used by InnoDB to store metadata # information. If InnoDB requires more memory for this purpose it will # start to allocate it from the OS. As this is fast enough on most # recent operating systems, you normally do not need to change this # value. SHOW INNODB STATUS will display the current amount used. innodb_additional_mem_pool_size=11M # If set to 1, InnoDB will flush (fsync) the transaction logs to the # disk at each commit, which offers full ACID behavior. If you are # willing to compromise this safety, and you are running small # transactions, you may set this to 0 or 2 to reduce disk I/O to the # logs. Value 0 means that the log is only written to the log file and # the log file flushed to disk approximately once per second. Value 2 # means the log is written to the log file at each commit, but the log # file is only flushed to disk approximately once per second. innodb_flush_log_at_trx_commit=1 # The size of the buffer InnoDB uses for buffering log data. As soon as # it is full, InnoDB will have to flush it to disk. As it is flushed # once per second anyway, it does not make sense to have it very large # (even with long transactions). innodb_log_buffer_size=6M # InnoDB, unlike MyISAM, uses a buffer pool to cache both indexes and # row data. The bigger you set this the less disk I/O is needed to # access data in tables. On a dedicated database server you may set this # parameter up to 80% of the machine physical memory size. Do not set it # too large, though, because competition of the physical memory may # cause paging in the operating system. Note that on 32bit systems you # might be limited to 2-3.5G of user level memory per process, so do not # set it too high. innodb_buffer_pool_size=500M # Size of each log file in a log group. You should set the combined size # of log files to about 25%-100% of your buffer pool size to avoid # unneeded buffer pool flush activity on log file overwrite. However, # note that a larger logfile size will increase the time needed for the # recovery process. innodb_log_file_size=100M # Number of threads allowed inside the InnoDB kernel. The optimal value # depends highly on the application, hardware as well as the OS # scheduler properties. A too high value may lead to thread thrashing. innodb_thread_concurrency=10 #replication settings (this is the master) log-bin=log server-id = 1 Thanks for all the help. It is greatly appreciated.

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  • Javascript large number array compression

    - by gatapia
    Hi All, I've got a javascript application that sends a large amount of numerical data down the wire. This data is then stored in a database. I am having size issues (too much bandwidth, database getting too big). I am now ready to sacrifice some performance for compression. I was thinking of implementing a base 62 number.toString(62) and parseInt(compressed, 62). This would certainly reduce the size of the data but before I go ahead and do this I thought I would put it to the folks here as I know there must be some outside the box solution I have not considered. The basic specs are: - Compress large number arrays into strings for JSONP transfer (So I think UTF is out) - Be relatively fast, look I'm not expecting same performance as I have now but I also don't want gzip compression either. Any ideas would be greatly appreciated. Thanks Guido Tapia

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  • Download Large Files using java

    - by angelina
    Dear All, I M building a application in which i want to download large files on handset (mobile),but if size of file is large i m getting exception socket exception-broken pipe . inputStream = new FileInputStream(path); byte[] buffer = new byte[1024]; int bytesRead = 0; do { bytesRead = inputStream.read(buffer, offset, buffer.length); resp.getOutputStream().write(buffer, 0, bytesRead); } while (bytesRead == buffer.length); resp.getOutputStream().flush(); }

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  • Streaming large result sets with MySQL

    - by configurator
    I'm developing a spring application that uses large MySQL tables. When loading large tables, I get an OutOfMemoryException, since the driver tries to load the entire table into application memory. I tried using statement.setFetchSize(Integer.MIN_VALUE); but then every ResultSet I open hangs on close(); looking online I found that that happens because it tries loading any unread rows before closing the ResultSet, but that is not the case since I do this: ResultSet existingRecords = getTableData(tablename); try { while (existingRecords.next()) { // ... } } finally { existingRecords.close(); // this line is hanging, and there was no exception in the try clause } The hangs happen for small tables (3 rows) as well, and if I don't close the RecordSet (which happened in one method) then connection.close() hangs.

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  • Browser, upload large file

    - by Mike
    I'm looking for a way to allow a user to upload a large file (~1gb) to my unix server using a web page and browser. There are a lot of examples that illustrate how to do this with a traditional post request, however this doesn't seem like a good idea when the file is this large. I'm looking for recommendations on the best approach. Bonus points if the method includes a way of providing progress information to the user. For now security is not a major concern, as most users who will be using the service can be trusted. We can also assume that the connection between client and host will not be interrupted (or if it is they have to start over).

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  • Get count matches in query on large table very slow

    - by Roy Roes
    I have a mysql table "items" with 2 integer fields: seid and tiid The table has about 35000000 records, so it's very large. seid tiid ----------- 1 1 2 2 2 3 2 4 3 4 4 1 4 2 The table has a primary key on both fields, an index on seid and an index on tiid. Someone types in 1 or more tiid values and now I would like to get the seid with most results. For example when someone types 1,2,3, I would like to get seid 2 and 4 as result. They both have 2 matches on the tiid values. My query so far: SELECT COUNT(*) as c, seid FROM items WHERE tiid IN (1,2,3) GROUP BY seid HAVING c = (SELECT COUNT(*) as c, seid FROM items WHERE tiid IN (1,2,3) GROUP BY seid ORDER BY c DESC LIMIT 1) But this query is extremly slow, because of the large table. Does anyone know how to construct a better query for this purpose?

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  • Secrets of delivering .NET size large products?

    - by Joan Venge
    In software companies I have seen it's really hard to work on very large products where everything depends on everything else. For instance Microsoft works on C#, F#, .NET, WPF, Visual Studio where these things are interconnected. I don't know how many people are involved, but if it's in 100s, how do they keep in sync with everything, so they design and implement features without conflicting with other dependencies and future plans of other products? I am wondering that if MS is able to do this, they must have a very good system. Any guidelines or secrets for MS or non-MS very large software product delivering?

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  • Comparing large strings in JavaScript with a hash

    - by user4815162342
    I have a form with a textarea that can contain large amounts of content (say, articles for a blog) edited using one of a number of third party rich text editors. I'm trying to implement something like an autosave feature, which should submit the content through ajax if it's changed. However, I have to work around the fact that some of the editors I have as options don't support an "isdirty" flag, or an "onchange" event which I can use to see if the content has changed since the last save. So, as a workaround, what I'd like to do is keep a copy of the content in a variable (let's call it lastSaveContent), as of the last save, and compare it with the current text when the "autosave" function fires (on a timer) to see if it's different. However, I'm worried about how much memory that could take up with very large documents. Would it be more efficient to store some sort of hash in the lastSaveContent variable, instead of the entire string, and then compare the hash values? If so, can you recommend a good javascript library/jquery plugin that implements an appropriate hash for this requirement?

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  • Passing Large amount of data in PHP.

    - by Simple
    I would like to know what is the best way to pass a large amount of XML data from one PHP script to another. I have a script that reads in an XML feed of jobs. I would like to have the script display a list of the job titles as links. When the user clicks a link they would be taken to another page displaying the details for that job. The job details are too large to send in the query string, and it seems poor style to start a session for data that isn't specific to that user. Any ideas?

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  • Very large database, very small portion most being retrieved in real time

    - by mingyeow
    Hi folks, I have an interesting database problem. I have a DB that is 150GB in size. My memory buffer is 8GB. Most of my data is rarely being retrieved, or mainly being retrieved by backend processes. I would very much prefer to keep them around because some features require them. Some of it (namely some tables, and some identifiable parts of certain tables) are used very often in a user facing manner How can I make sure that the latter is always being kept in memory? (there is more than enough space for these) More info: We are on Ruby on rails. The database is MYSQL, our tables are stored using INNODB. We are sharding the data across 2 partitions. Because we are sharding it, we store most of our data using JSON blobs, while indexing only the primary keys

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