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  • Linux data storage and partitioning

    - by Rajeev
    In the following output of df -h you can see that i have added a new hard drive(/dev/hdd1) and have mounted as /hdd1. My question is if I start dumping data to /opt will that data be mounted in /hdd1 or / My goal is to utilise the new hdd1 instead of old disk(/dev/sda3). How can this be done? Filesystem Size Used Avail Use% Mounted on /dev/sda3 442G 312G 12G 86% / tmpfs 1.9G 0 1.9G 0% /dev/shm /dev/sda1 194M 57M 128M 31% /boot /dev/sdb1 1.7T 201M 2.6T 1% /hdd1

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  • Raid 5 GPT Partitioning

    - by user39325
    I have a Dell Poweredge r710 server with five 1 TB disks. All of them are in RAID 5. I was trying to install Centos but it says "Your boot partition is on disk using GPT Partition..." I read somewhere that centos can't install on a disk larger than 2TB, so I made some partitions smaller, but it's not working. PS, I am going to install Proxmox on that, but Proxmox also won't accept disks larger than 2TB.

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  • Data transfer is extrem slow after partitioning extern usb drive

    - by user125912
    I bought an extern usb 3.0 drive with 500 gb capacity. OS is Windows 7. I use it with an usb 2.0 slot, no prob. Initially I used it without making several partitions and it was fast as hell. Then I had the great idea to make partitions, one for programs, one for data and one for backup. I chose the free EASEUS Partition Master 9.1.1. and ended up with these partitions: F:Apps, primary, NTFS, 100gb H:Data, logic, NTFS, 250gb B:Backup, logic, NTFS, 150gb THE PROBLEM: When I copy files from C: to F: I get a transfer rate of about 100 KB/S ! When I copy files from C: to H: I get a transfer rate of about 4 MB/S ! thats all muuuch to slow, slower then before. What can I do to speed the shit up? Thanks in advance!

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  • Ubuntu 9.10 Server (minimal virtual machine) partitioning

    - by John
    I am setting up a generic Ubuntu server and am trying to figure out the (best) way to partition the machine. Again, this is just a generic one: The default drive is 20GB. Some guides show: Separate /home, /usr, /var and /tmp partitions Another one suggested something like this: / 4GB /boot 512MB /tmp 1GB /home 5GB /usr 5GB /var 5GB What is the best way to accomplish this?

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  • Table Partitioning

    - by Ankur Gahlot
    How advantageous is it to use partitioning of tables as compared to normal approach ? Is there a sort of sample case or detailed comparative analysis that could statistically ( i know this is too strong a word, but it would really help if it is illustrated by some numbers ) emphasize on the utility of the process. Thanks, Ankur

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  • Unity3d: calculate the result of a transform without modifying transform object itself

    - by Heisenbug
    I'm in the following situation: I need to move an object in some way, basically rotating it around its parent local position, or translating it in its parent local space (I know how to do this). The amount of rotation and translation is know at runtime (it depends on several factors, the speed of the object, enviroment factors, etc..). The problem is the following: I can perform this transformation only if the result position of the transformed object fit some criterias. An example could be this: the distance between the position before and after the transformation must be less than a given threshold. (Actually the conditions could be several and more complex) The problem is that if I use Transform.Rotate and Transform.Translate methods of my GameObject, I will loose the original Transform values. I think I can't copy the original Transform using instantiate for performance issues. How can I perform such a task? I think I have more or less 2 possibilities: First Don't modify the GameObject position through Transform. Calculate which will be the position after the transform. If the position is legal, modify transform through Translate and Rotate methods Second Store the original transform someway. Transform the object using Translate and Rotate. If the transformed position is illegal, restore the original one.

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  • Adsense: You have rejected ad requests, which will result in lost revenue

    - by Chankey Pathak
    Got an alert on my adsense account which says You have rejected ad requests, which will result in lost revenue. The following ad units have made ad requests with incorrect site information. This occurs when the URL of the server from which the ad unit has been served differs from the URL of the actual page where the ad will be displayed. Learn how to fix these errors. So the solution is that I'll have to use "google_page_url = "http://myurl.com/fullpath";" I'm using wordpress, what should be the URL for google_page_url? For example my website is www.technostall.com. Should I put www.technostall.com there or should I give the path of each post? That is not good because I'm using a sidebar widget for sidebar ad unit. I can't change google_page_url for each page. What should I do? This error is appearing only on my sidebar/navigation ad units. Is using google_page_url = document.location; fine?

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  • AutoCompleteTextView not displaying result even when the ArrayAdapter is updated

    - by cant0na
    I'm trying to get an AutoCompleteTextView(ACTV) to display results I'm a getting from a network resource. I have set the completion-treshold to 2 and I can see that the request is fired when I enter to characters. The result I am getting is the correct one. Lets say I write "ca", and I get the result "car" as an autocompletion. I have a callback function which receives the result from an AsyncTask and puts the result into the ArrayAdapter. Then I call .showDropDown() on the ACTV and an empty dropdown is shown (half the size of a normal element). Then if I enter the last letter "r" and the ACTV shows "car", the dropdown is shown and the result is suddenly in the list. The same happens if I have entered two characters (which returns a valid result), and the remove the last letter. When the letter is removed, "car" is shown as an autocompletion value. Has anyone had this problem? It looks like the adapter is filled with the result, but the result does not show until the next action I do. I have also tried to run .notifyDataSetChanged() after I have added the result to the adapter, but that should not be needed, or?

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  • More on PHP and Oracle 11gR2 Improvements to Client Result Caching

    - by christopher.jones
    Oracle 11.2 brought several improvements to Client Result Caching. CRC is way for the results of queries to be cached in the database client process for reuse.  In an Oracle OpenWorld presentation "Best Practices for Developing Performant Application" my colleague Luxi Chidambaran had a (non-PHP generated) graph for the Niles benchmark that shows a DB CPU reduction up to 600% and response times up to 22% faster when using CRC. Sometimes CRC is called the "Consistent Client Cache" because Oracle automatically invalidates the cache if table data is changed.  This makes it easy to use without needing application logic rewrites. There are a few simple database settings to turn on and tune CRC, so management is also easy. PHP OCI8 as a "client" of the database can use CRC.  The cache is per-process, so plan carefully before caching large data sets.  Tables that are candidates for caching are look-up tables where the network transfer cost dominates. CRC is really easy in 11.2 - I'll get to that in a moment.  It was also pretty easy in Oracle 11.1 but it needed some tiny application changes.  In PHP it was used like: $s = oci_parse($c, "select /*+ result_cache */ * from employees"); oci_execute($s, OCI_NO_AUTO_COMMIT); // Use OCI_DEFAULT in OCI8 <= 1.3 oci_fetch_all($s, $res); I blogged about this in the past.  The query had to include a specific hint that you wanted the results cached, and you needed to turn off auto committing during execution either with the OCI_DEFAULT flag or its new, better-named alias OCI_NO_AUTO_COMMIT.  The no-commit flag rule didn't seem reasonable to me because most people wouldn't be specific about the commit state for a query. Now in Oracle 11.2, DBAs can now nominate tables for caching, either with CREATE TABLE or ALTER TABLE.  That means you don't need the query hint anymore.  As well, the no-commit flag requirement has been lifted.  Your code can now look like: $s = oci_parse($c, "select * from employees"); oci_execute($s); oci_fetch_all($s, $res); Since your code probably already looks like this, your DBA can find the top queries in the database and simply tune the system by turning on CRC in the database and issuing an ALTER TABLE statement for candidate tables.  Voila. Another CRC improvement in Oracle 11.2 is that it works with DRCP connection pooling. There is some fine print about what is and isn't cached, check the Oracle manuals for details.  If you're using 11.1 or non-DRCP "dedicated servers" then make sure you use oci_pconnect() persistent connections.  Also in PHP don't bind strings in the query, although binding as SQLT_INT is OK.

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  • Ubuntu 12.04 partioning an external drive without lossing data

    - by Menelaos Perdikeas
    I have an Ubuntu 12.04 with an external 1.5T disk (just for data). It is /dev/sdc1 seen below: $ df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/sda1 ext4 1451144932 27722584 1350794536 3% / udev devtmpfs 6199460 4 6199456 1% /dev tmpfs tmpfs 2482692 988 2481704 1% /run none tmpfs 5120 0 5120 0% /run/lock none tmpfs 6206724 284 6206440 1% /run/shm /dev/sdc1 fuseblk 1465135100 172507664 1292627436 12% /media/Elements The thing is I would like to implement this rsync-based backup strategy and I want to use my /dev/sdc1 external drive for that. Since the guide mentioned above recommends placing the backup directory in a separate partition I want to repartition the /dev/sdc1 external hard disk but retain existing data in a separate partition. E.g. split /dev/sdc1 into two partitions: (i) one to be used exclusively for the rsync-based backup and (ii) the other for the existing miscellaneous data. How should I go about partitioning with minimal risk to my existing data and what kind of filesystem do you recommend? I would prefer a console-based guide but unfortunately all the material I found on the web is oriented towards partitioning the main (bootable) disk and not an external fuseblk filesystem used only for passive data.

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  • How can I extend / create a new partition from the following setup?

    - by Kiada
    I'm a little unsure what to do in this situation. When I try to create a new simple volume from the unallocated space I get an error because I already have 4 partitions. I have no option to extend either my C:\ primary partition or the E:\ logical drive. C:\ - Gaming Win7 install. D:\ - Storage Unallocated Space - Would somehow like to install OSX on a partition from this space. E:\ - Software Development Win7 install. I:\ - Ignore this. It's an external 1TB HDD. Do I have any options that do not involve formatting / losing information on either C:\ or E:\? Thank you. Link to visual disk partitioning setup image. Edit: A bit more information regarding partitions. Firstly, the image linked above is a screenshot of Windows 7 partitioning tool, easier to read than text I guess! H:\ System Reserved: 100MB NTFS C:\ 244 GB NTFS Healthy (Page File, Primary Partition) D:\ 294 GB NTFS Healthy (Primary Partition) E:\ 100 GB NTFS Healthy (Boot, Page File, Crash Dump, Logical Drive) Unallocated 292 GB Hope this helps :)

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  • result set using two different views (from an if statement)

    - by mailman1979
    Hi All, I have a bit of code that works with a result set called "result" (original I know) but depending on the incoming variable I'd like to fire the specific query depending. I have the below in an if statement but that just makes the "result" recordset gets those nasty red lines and it doesn't work. I'm sure this is easy to work out. if (area == "dashboard") { IQueryable<ViewGetNavigationMainItem> result = (from m in _entities.ViewGetNavigationMainItems where m.area.Trim() == area.Trim() where m.state == "Online" where m.parentID == parentID orderby m.sequence ascending select m); } else { //Get the Content Items IQueryable<ViewGetNavigationContentItem> result = (from m in _entities.ViewGetNavigationContentItems where m.navID == navID where m.parentID == parentID orderby m.contentOrder ascending select m); } maxRecords = result.Count(); foreach (var item in result) { etc etc etc

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  • SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

    - by Brian
    Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 28 August 2012.

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  • return the result of a query and the total number of rows in a single function

    - by csotelo
    This is a question as might be focused on working in the best way, if there are other alternatives or is the only way: Using Codeigniter ... I have the typical 2 functions of list records and show total number of records (using the page as an alternative). The problem is that they are rather large. Sample 2 functions in my model: count Rows: function get_all_count() { $this->db->select('u.id_user'); $this->db->from('user u'); if($this->session->userdata('detail') != '1') { $this->db->join('management m', 'm.id_user = u.id_user', 'inner'); $this->db->where('id_detail', $this->session->userdata('detail')); if($this->session->userdata('management') === '1') { $this->db->or_where('detail', 1); } else { $this->db->where("id_profile IN ( SELECT e2.id_profile FROM profile e, profile e2, profile_path p, profile_path p2 WHERE e.id_profile = " . $this->session->userdata('profile') . " AND p2.id_profile = e.id_profile AND p.path LIKE(CONCAT(p2.path,'%')) AND e2.id_profile = p.id_profile )", NULL, FALSE); $this->db->where('MD5(u.id_user) <>', $this->session->userdata('id_user')); } } $this->db->where('u.id_user <>', 1); $this->db->where('flag <>', 3); $query = $this->db->get(); return $query->num_rows(); } results per page function get_all($limit, $offset, $sort = '') { $this->db->select('u.id_user, user, email, flag'); $this->db->from('user u'); if($this->session->userdata('detail') != '1') { $this->db->join('management m', 'm.id_user = u.id_user', 'inner'); $this->db->where('id_detail', $this->session->userdata('detail')); if($this->session->userdata('management') === '1') { $this->db->or_where('detail', 1); } else { $this->db->where("id_profile IN ( SELECT e2.id_profile FROM profile e, profile e2, profile_path p, profile_path p2 WHERE e.id_profile = " . $this->session->userdata('profile') . " AND p2.id_profile = e.id_profile AND p.path LIKE(CONCAT(p2.path,'%')) AND e2.id_profile = p.id_profile )", NULL, FALSE); $this->db->where('MD5(u.id_user) <>', $this->session->userdata('id_user')); } } $this->db->where('u.id_user <>', 1); $this->db->where('flag <>', 3); if($sort) $this->db->order_by($sort); $this->db->limit($limit, $offset); $query = $this->db->get(); return $query->result(); } You see, I repeat the most of the functions, the difference is that only the number of fields and management pages. I wonder if there is any alternative to get as much results as the query in a single function. I have seen many tutorials, and all create 2 functions: one to count and another to show results ... Will there be more optimal?

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  • SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark

    - by Brian
    Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved World Record 18,000 concurrent users while executing a PeopleSoft Payroll batch job of 500,000 employees in 43.32 minutes and maintaining online users response time at < 2 seconds. This world record is the first to run online and batch workloads concurrently. This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier. The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment. The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 35% (online and batch) leaving significant headroom for additional processing across the three tiers. The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices. This is the first three tier mixed workload (online and batch) PeopleSoft benchmark also processing PeopleSoft payroll batch workload. Performance Landscape PeopleSoft HR Self-Service and Payroll Benchmark Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-2 (web) SPARC T4-4 (app) SPARC T4-2 (db) 18,000 0.944 0.503 43.32 64 Configuration Summary Application Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 512 GB memory 5 x 300 GB SAS internal disks 1 x 100 GB and 2 x 300 GB internal SSDs 2 x 10 Gbe HBA Oracle Solaris 11 11/11 PeopleTools 8.52 PeopleSoft HCM 9.1 Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031 Java Platform, Standard Edition Development Kit 6 Update 32 Database Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Web Tier Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 2 x 300 GB SAS internal disks 1 x 100 GB internal SSD Oracle Solaris 11 11/11 PeopleTools 8.52 Oracle WebLogic Server 10.3.4 Java Platform, Standard Edition Development Kit 6 Update 32 Storage Configuration: 1 x Sun Server X2-4 as a COMSTAR head for data 4 x Intel Xeon X7550, 2.0 GHz 128 GB memory 1 x Sun Storage F5100 Flash Array (80 flash modules) 1 x Sun Storage F5100 Flash Array (40 flash modules) 1 x Sun Fire X4275 as a COMSTAR head for redo logs 12 x 2 TB SAS disks with Niwot Raid controller Benchmark Description This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2. The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published. PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions. All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions. The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes. The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state. Key Points and Best Practices Two Oracle PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning. Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads. See Also Oracle PeopleSoft Benchmark White Papers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN PeopleSoft Enterprise Human Capital Management oracle.com OTN PeopleSoft Enterprise Human Capital Management (Payroll) oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Oracle's PeopleSoft HR and Payroll combined benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 09/30/2012.

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  • Space partitioning algorithm

    - by Karol Kolenda
    I have a set of points which are contained within the rectangle. I'd like to split the rectangles into subrectangles based on point density (giving a number of subrectangles or desired density, whichever is easiest). The partitioning doesn't have to be exact (almost any approximation better than regular grid would do), but the algorithm have to cope with the large number of points - approx. 200 millions. The desired number of subrectangles however is substantially lower (around 1000). Does anyone knows any algorithm which may help me with this particular task?

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  • Uninstall Linux Mint without deleting partition?

    - by user3525308
    I've got a dual-boot system using Windows 7 and Linux Mint 13. When I first installed Mint using the regular Mint installer, the installer did not give me the option of partitioning my drive, presumably because my computer already had 4 partitions. I decided that I wanted to uninstall Mint and opt for Ubuntu instead, but I have no idea how to remove Mint! Every guide I look at tells me to just delete/reformat the Linux partition... But in my case, no separate partition exists.

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  • How to create an EFI System Partition?

    - by Alex Popov
    TL; DR How do I create an EFI system partition from scratch? How do I put the EFI firmware on it onces it is created? Long version I hava Toshiba T430 laptop. I received it with Windows 7 installed (but I think originally it has shipped with Windows 8). I installed Ubuntu on it, but deleted some partitions on the disk so that I ended up wiping out the Windows and only having Ubuntu. Among the deleted partitions was the EFI System partition. I discovered that Ubuntu now boots in Legacy mode (and not UEFI). I am trying to follow this guide on converting my Ubuntu installation from Legacy to UEFI. The problem - since there is no EFI partition whenever I choose from BIOS to boot using UEFI I cannot boot. That counts not only for the harddrive, but usb and DVD as well. I think this is logical - it expects an EFI partition and since it can't find it, it cannot continue booting futher, be it from HDD or DVD. So how do I recreate the EFI partition? The guide above says: Creating an EFI partition If you are manually partitioning your disk in the Ubuntu installer, you need to make sure you have an EFI partition set up. If your disk already contains an EFI partition (eg if your computer had Windows8 preinstalled), it can be used for Ubuntu too. Do not format it. It is strongly recommended to have only 1 EFI partition per disk. An EFI partition can be created via a recent version of GParted (the Gparted version included in the 12.04 disk is OK), and must have the following attributes: Mount point: /boot/efi (remark: no need to set this mount point when using the manual partitioning, the Ubuntu installer will detect it automatically) Size: minimum 100Mib. 200MiB recommended. Type: FAT32 Other: needs a "boot" flag. I had some trouble creating this partition: I boot from a live Ubuntu DVD, open GParted, create a 200MB partition and format it to FAT32. In GParted I cannot set the mount point and thus cannot set the bootflag. I didn't set the mount point in /etc/fstab since it's a live CD and fstab looked quite differently from what I expected compared to a normal boot. Anyway, I just didn't know what values to set. I booted again via the live DVD and then chose to install Ubuntu. I then created a partition with the mentioned criteria - mount point, 200MB, FAT32, boot flag. However, I continue to have this problem and I suppose it's because on that partition there is no EFI firmware, it's just an empty partition, which is suitable to have EFI firmware. So again, how do I create an EFI partition, which has the EFI software, so that the laptop can once again boot in UEFI mode?

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  • Partition 500gb of database stored in SQL Server

    - by Devendra
    Hello I have 500GB of database stored in SQL Server. Because it has too big a database, it takes time to update and insert data. Now the case is that I want to partition the data. So which partitioning techniques should I use? Or is there any other technique which will improve my performance?

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  • Any dangers of sharing /home partition between two distros?

    - by Linux_iOS.rb.cpp.c.lisp.m.sh
    I have a laptop with a 250GB HDD. I have an existing installation of Kubuntu across three partitions (A 20GB one for /, 2GB for swap, and something like 97GB for /home). If I add another partition, use that as / for a Mint 13 install, and then use the existing /home partition as Linux Mint's home folder (different user names), are there any dangers (besides badly done partitioning, and other dumb things like that)?

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  • How to perform spatial partitioning in n-dimensions?

    - by kevin42
    I'm trying to design an implementation of Vector Quantization as a c++ template class that can handle different types and dimensions of vectors (e.g. 16 dimension vectors of bytes, or 4d vectors of doubles, etc). I've been reading up on the algorithms, and I understand most of it: here and here I want to implement the Linde-Buzo-Gray (LBG) Algorithm, but I'm having difficulty figuring out the general algorithm for partitioning the clusters. I think I need to define a plane (hyperplane?) that splits the vectors in a cluster so there is an equal number on each side of the plane. [edit to add more info] This is an iterative process, but I think I start by finding the centroid of all the vectors, then use that centroid to define the splitting plane, get the centroid of each of the sides of the plane, continuing until I have the number of clusters needed for the VQ algorithm (iterating to optimize for less distortion along the way). The animation in the first link above shows it nicely. My questions are: What is an algorithm to find the plane once I have the centroid? How can I test a vector to see if it is on either side of that plane?

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  • Lost website rankings as a result of using a 302 redirect instead of a 301

    - by george peris
    I have an online store and during the last 2 days I noticed a big change in its SERPS for some keywords. The site is indexed in local Google for 5 keywords, and the online store is based on Magento 1.7. 5 days ago, I set up an SSL certificate in the online store in order to get better ranking results. I setup the SSL and followed the instructions from the Magento to make permanent 301 redirects from the HTTP URLs to the HTTPS URLs. I replaced all the URLs of the online store with HTTPS. When I saw in the SERPS that the rankings for some keywords were going up and down, I checked some URLs to see if all was going well with 301 redirects and found that the redirects where 302 and not 301, which is a big bug caused by Magento. I solved the problem with the .htaccess, but still the rankings for the homepage have disappeared. I fetched the site again using Google Webmaster Tools and am waiting to see. Can you please advise if I did something wrong, and what else I could do?

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  • How properly perform passing operation result to View

    - by atomAltera
    I'm developing web site on self made MVC engine. I have actionController that handles operations like register, login, post submit and etc. actionController receives operation name and parameters. Of course it mast handle errors such user with same nick already exists or password is to short about which action handler have to notify user. The question is which is the best way to organize errors, such that View could easily get localized user notification message. I see two ways First one: define error constants like ERR_NICK_BUSY = '1' ERR_NICK_INVALID = '2' ... and localization map local[ERR_NICK_BUSY] = 'User with the same nick already registered' local[ERR_NICK_INVALID ] = 'Nick, you entered is invalid' ... And second one: define abstract constants like ERR_FIELD_BUSY = '1' ERR_FIELD_INVALID = '2' ... and pass them with field name. In this case localization looks like local['nick_'+ERR_FIELD_BUSY] = 'User with the same nick already registered' ... I don't like both this methods. Can you advise something else?

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  • How do I handle 3rd party search result data (via cache)

    - by reikyoushin
    I have a search function on my site and it is taking data from 6 different 3rd party resources. The problem is, it takes too long requesting the data over and over again on the results page. I've read for questions like this on SO about session not being a good choice but for me 'memcache' is not an option, because the server doesn't have memcached installed and I have no way to install it now. Is there any other approach to do this? Storing in the database seem inappropriate because the data depends on the search terms requested. What I've been thinking is writing a file on the server that would act as a cache for this file but I don't know how I would know when to delete it after.

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