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  • How are you coping with Ubuntu's Unity app launcher? (It auto-hides, can't minimize apps)

    - by Bad Learner
    [Firstly, let me tell you that this cannot be subjective in anyway, as I think at least Ubuntu beginners will have these questions boggling in their mind; and yes, this is a question that has a definite answer - - so, I am completely within the rules.] Okay, coming to the point, I see that Ubuntu uses Unity since v10.xx (netbook edition?) and carried the same to v11.04 & v11.10. As someone who's stuck to Windows for all these years, it's somewhat difficult to cope with Ubuntu's Unity, for the following reasons: [1] The Unity app launcher (to the screen's left) auto-hides when a window is maximized. [2]- And once launched, apps cannot be minimized by clicking the app's icon in the launcher. I have to go to the top-left of the screen and click the "_" button. I do know I can fix these issues by installing some configuration tool. But the thing is, if that's how it's meant to work, Canonical/Ubuntu would have designed it that way. But they didn't. Why? w.r.t above points [1], [2]: [1] EDITED: So, does it mean, it's good to work without maximizing the windows? Because if I maximize the window, the app launcher hides. And I need to hover the mouse to the left of the screen, wait a bit (even if it's a sec or even less, I can still feel the lag), and then click on the next app icon in the launcher to switch to it. I do know, I can use Alt+TAB to switch, but I am not sure which window comes next. This, I feel, isn't productive. Also, this makes me feel, Ubuntu is designed for large screens (it's nice on my 1920x1080p screen), because I can have two windows side-by-side or something like that on a large screen. This is not possible on smaller screens. [2]- Being able to minimize an application's window by clicking on its icon in the launcher (just like it works on Windows & probably elsewhere) would have been great, rather than having to go to the top-left and clicking the _ (minimize) button which brings up the app launcher itself (from hiding) most of the time. It's too tiring to have these small issues in the UI. I really would like to know how you are coping with these issues the way they are?

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  • Display turns off when watching videos (then video starts to lag), how to fix it?

    - by Bad Learner
    Okay, here's the thing - - On my Ubuntu 11.10 64-bit installation, I have the display set to turn off automatically after 3 minutes of inactivity. There are two problems now: the display turns off even when I am watching videos. But I don't want to keep fiddling my mouse or keyboard when I am watching a movie. Okay, like I said above, the display turns off, then I move the mouse a bit each time, and the display turns back on. But now, the video doesn't play properly, it lags. A lot actually. Are these issues common? Can these be fixed?

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  • What is the difference between "data hiding" and "encapsulation"?

    - by Software Engeneering Learner
    I'm reading "Java concurrency in practice" and there is said: "Fortunately, the same object-oriented techniques that help you write well-organized, maintainable classes - such as encapsulation and data hiding -can also help you create thread-safe classes." The problem #1 - I never heard about data hiding and don't know what it is. The problem #2 - I always thought that encapsulation is using private vs public, and is actually the data hiding. Can you please explain what data hiding is and how it differs from encapsulation?

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  • Server drives: 2.5" SCSI less reliable than 3.5" ?

    - by Bill
    Just had an HP 2.5" SAS 10k drive fail on a RAID5 array after about 2.5 years. It made me wonder if this was a fluke or an indication that 2.5" drives are less reliable than 3.5" SAS drives. I've had many 3.5" SAS drives running for many years without any issues (knock on wood). I would think that smaller drives would generate less heat and therefore be more reliable, but couldn't find any evidence of this. I realize all drives will eventually fail and that it's a crap shoot with any particular model, but was hoping someone could point out some related studies or comment on the SCSI drive sizes they've found to be most reliable in servers. Thanks.

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  • Is there any complications or side effects for changing final field access/visibility modifier from private to protected?

    - by Software Engeneering Learner
    I have a private final field in one class and then I want to address that field in a subclass. I want to change field access/visibility modifier from private to protected, so I don't have to call getField() method from subclass and I can instead address that field directly (which is more clear and cohessive). Will there be any side effects or complications if I change private to protected for a final field? UPDATE: from logical point of view, it's obvious that descendant should be able to directly access all predecessor fields, right? But there are certain constraints that are imposed on private final fields by JVM, like 100% initialization guarantee after construction phase(useful for concurrency) and so on. So I would like to know, by changing from private to protected, won't that or any other constraints be compromised?

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  • The enterprise vendor con - connecting SSD's using SATA 2 (3Gbits) thus limiting there performance

    - by tonyrogerson
    When comparing SSD against Hard drive performance it really makes me cross when folk think comparing an array of SSD running on 3GBits/sec to hard drives running on 6GBits/second is somehow valid. In a paper from DELL (http://www.dell.com/downloads/global/products/pvaul/en/PowerEdge-PowerVaultH800-CacheCade-final.pdf) on increasing database performance using the DELL PERC H800 with Solid State Drives they compare four SSD drives connected at 3Gbits/sec against ten 10Krpm drives connected at 6Gbits [Tony slaps forehead while shouting DOH!]. It is true in the case of hard drives it probably doesn’t make much difference 3Gbit or 6Gbit because SAS and SATA are both end to end protocols rather than shared bus architecture like SCSI, so the hard drive doesn’t share bandwidth and probably can’t get near the 600MiBytes/second throughput that 6Gbit gives unless you are doing contiguous reads, in my own tests on a single 15Krpm SAS disk using IOMeter (8 worker threads, queue depth of 16 with a stripe size of 64KiB, an 8KiB transfer size on a drive formatted with an allocation size of 8KiB for a 100% sequential read test) I only get 347MiBytes per second sustained throughput at an average latency of 2.87ms per IO equating to 44.5K IOps, ok, if that was 3GBits it would be less – around 280MiBytes per second, oh, but wait a minute [...fingers tap desk] You’ll struggle to find in the commodity space an SSD that doesn’t have the SATA 3 (6GBits) interface, SSD’s are fast not only low latency and high IOps but they also offer a very large sustained transfer rate, consider the OCZ Agility 3 it so happens that in my masters dissertation I did the same test but on a difference box, I got 374MiBytes per second at an average latency of 2.67ms per IO equating to 47.9K IOps – cost of an 240GB Agility 3 is £174.24 (http://www.scan.co.uk/products/240gb-ocz-agility-3-ssd-25-sata-6gb-s-sandforce-2281-read-525mb-s-write-500mb-s-85k-iops), but that same drive set in a box connected with SATA 2 (3Gbits) would only yield around 280MiBytes per second thus losing almost 100MiBytes per second throughput and a ton of IOps too. So why the hell are “enterprise” vendors still only connecting SSD’s at 3GBits? Well, my conspiracy states that they have no interest in you moving to SSD because they’ll lose so much money, the argument that they use SATA 2 doesn’t wash, SATA 3 has been out for some time now and all the commodity stuff you buy uses it now. Consider the cost, not in terms of price per GB but price per IOps, SSD absolutely thrash Hard Drives on that, it was true that the opposite was also true that Hard Drives thrashed SSD’s on price per GB, but is that true now, I’m not so sure – a 300GByte 2.5” 15Krpm SAS drive costs £329.76 ex VAT (http://www.scan.co.uk/products/300gb-seagate-st9300653ss-savvio-15k3-25-hdd-sas-6gb-s-15000rpm-64mb-cache-27ms) which equates to £1.09 per GB compared to a 480GB OCZ Agility 3 costing £422.10 ex VAT (http://www.scan.co.uk/products/480gb-ocz-agility-3-ssd-25-sata-6gb-s-sandforce-2281-read-525mb-s-write-410mb-s-30k-iops) which equates to £0.88 per GB. Ok, I compared an “enterprise” hard drive with a “commodity” SSD, ok, so things get a little more complicated here, most “enterprise” SSD’s are SLC and most commodity are MLC, SLC gives more performance and wear, I’ll talk about that another day. For now though, don’t get sucked in by vendor marketing, SATA 2 (3Gbit) just doesn’t cut it, SSD need 6Gbit to breath and even that SSD’s are pushing. Alas, SSD’s are connected using SATA so all the controllers I’ve seen thus far from HP and DELL only do SATA 2 – deliberate? Well, I’ll let you decide on that one.

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  • Disk performance below expectations

    - by paulH
    this is a follow-up to a previous question that I asked (Two servers with inconsistent disk speed). I have a PowerEdge R510 server with a PERC H700 integrated RAID controller (call this Server B) that was built using eight disks with 3Gb/s bandwidth that I was comparing with an almost identical server (call this Server A) that was built using four disks with 6Gb/s bandwidth. Server A had much better I/O rates than Server B. Once I discovered the difference with the disks, I had Server A rebuilt with faster 6Gbps disks. Unfortunately this resulted in no increase in the performance of the disks. Expecting that there must be some other configuration difference between the servers, we took the 6Gbps disks out of Server A and put them in Server B. This also resulted in no increase in the performance of the disks. We now have two identical servers built, with the exception that one is built with six 6Gbps disks and the other with eight 3Gbps disks, and the I/O rates of the disks is pretty much identical. This suggests that there is some bottleneck other than the disks, but I cannot understand how Server B originally had better I/O that has subsequently been 'lost'. Comparative I/O information below, as measured by SQLIO. The same parameters were used for each test. It's not the actual numbers that are significant but rather the variations between systems. In each case D: is a 2 disk RAID 1 volume, and E: is a 4 disk RAID 10 volume (apart from the original Server A, where E: was a 2 disk RAID 0 volume). Server A (original setup with 6Gpbs disks) D: Read (MB/s) 63 MB/s D: Write (MB/s) 170 MB/s E: Read (MB/s) 68 MB/s E: Write (MB/s) 320 MB/s Server B (original setup with 3Gpbs disks) D: Read (MB/s) 52 MB/s D: Write (MB/s) 88 MB/s E: Read (MB/s) 112 MB/s E: Write (MB/s) 130 MB/s Server A (new setup with 3Gpbs disks) D: Read (MB/s) 55 MB/s D: Write (MB/s) 85 MB/s E: Read (MB/s) 67 MB/s E: Write (MB/s) 180 MB/s Server B (new setup with 6Gpbs disks) D: Read (MB/s) 61 MB/s D: Write (MB/s) 95 MB/s E: Read (MB/s) 69 MB/s E: Write (MB/s) 180 MB/s Can anybody suggest any ideas what is going on here? The drives in use are as follows: Dell Seagate F617N ST3300657SS 300GB 15K RPM SAS Dell Hitachi HUS156030VLS600 300GB 3.5 inch 15000rpm 6GB SAS Hitachi Hus153030vls300 300GB Server SAS Dell ST3146855SS Seagate 3.5 inch 146GB 15K SAS

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  • I/O intensive MySql server on Amazon AWS

    - by rhossi
    We recently moved from a traditional Data Center to cloud computing on AWS. We are developing a product in partnership with another company, and we need to create a database server for the product we'll release. I have been using Amazon Web Services for the past 3 years, but this is the first time I received a spec with this very specific hardware configuration. I know there are trade-offs and that real hardware will always be faster than virtual machines, and knowing that fact forehand, what would you recommend? 1) Amazon EC2? 2) Amazon RDS? 3) Something else? 4) Forget it baby, stick to the real hardware Here is the hardware requirements This server will be focused on I/O and MySQL for the statistics, memory size and disk space for the images hosting. Server 1 I/O The very main part on this server will be I/O processing, FusionIO cards have proven themselves extremely efficient, this is currently the best you can have in this domain. o Fusion ioDrive2 MLC 365GB (http://www.fusionio.com/load/-media-/1m66wu/docsLibrary/FIO_ioDrive2_Datasheet.pdf) CPU MySQL will use less CPU cores than Apache but it will use them very hard, the E7 family has 30M Cache L3 wichi provide boost performance : o 1x Intel E7-2870 will be ok. Storage SAS will be good enough in terms of performance, especially considering the space required. o RAID 10 of 4 x SAS 10k or 15k for a total available space of 512 GB. Memory o 64 GB minimum is required on this server considering the size of the statistics database. Warning: the statistics database will grow quickly, if possible consider starting with 128 GB directly, it will help. This server will be focused on I/O and MySQL for the statistics, memory size and disk space for the images hosting. Server 2 I/O The very main part on this server will be I/O processing, FusionIO cards have proven themselves extremely efficient, this is currently the best you can have in this domain. o Fusion ioDrive2 MLC 365GB (http://www.fusionio.com/load/-media-/1m66wu/docsLibrary/FIO_ioDrive2_Datasheet.pdf) CPU MySQL will use less CPU cores than Apache but it will use them very hard, the E7 family has 30M Cache L3 wichi provide boost performance : o 1x Intel E7-2870 will be ok. Storage SAS will be good enough in terms of performance, especially considering the space required. o RAID 10 of 4 x SAS 10k or 15k for a total available space of 512 GB. Memory o 64 GB minimum is required on this server considering the size of the statistics database. Warning: the statistics database will grow quickly, if possible consider starting with 128 GB directly, it will help. Thanks in advance. Best,

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  • How to address a recurring low temperature error seen at every boot-up?

    - by GregC
    After updating to latest controller firmware, I started receiving the following error messages: LSI 2208 ROC: Temperature sensor below error threshold on enclosure 1 Sensors 5 thru 7 Is this something I should worry about, or is it a Red Herring? Details: I have a Sans Digital NexentaSTOR 24-disk JBOD enclosure connected to LSI 9286-8e RAID-on-Chip controller with two SAS cables. Seagate ES.2 3TB SAS hard drives populate every bay in the enclosure.

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  • Can't get running JPA2 with Hibernate and Maven

    - by erlord
    Have been trying the whole day long and googled the ** out of the web ... in vain. You are my last hope: Here's my code: The Entity: package sas.test.model; import javax.persistence.Entity; import javax.persistence.Id; @Entity public class Employee { @Id private int id; private String name; private long salary; public Employee() {} public Employee(int id) { this.id = id; } public int getId() { return id; } public void setId(int id) { this.id = id; } public String getName() { return name; } public void setName(String name) { this.name = name; } public long getSalary() { return salary; } public void setSalary (long salary) { this.salary = salary; } } The service class: package sas.test.dao; import sas.test.model.Employee; import javax.persistence.*; import java.util.List; public class EmployeeService { protected EntityManager em; public EmployeeService(EntityManager em) { this.em = em; } public Employee createEmployee(int id, String name, long salary) { Employee emp = new Employee(id); emp.setName(name); emp.setSalary(salary); em.persist(emp); return emp; } public void removeEmployee(int id) { Employee emp = findEmployee(id); if (emp != null) { em.remove(emp); } } public Employee raiseEmployeeSalary(int id, long raise) { Employee emp = em.find(Employee.class, id); if (emp != null) { emp.setSalary(emp.getSalary() + raise); } return emp; } public Employee findEmployee(int id) { return em.find(Employee.class, id); } } And the main class: package sas.test.main; import javax.persistence.*; import java.util.List; import sas.test.model.Employee; import sas.test.dao.EmployeeService; public class ExecuteMe { public static void main(String[] args) { EntityManagerFactory emf = Persistence.createEntityManagerFactory("EmployeeService"); EntityManager em = emf.createEntityManager(); EmployeeService service = new EmployeeService(em); // create and persist an employee em.getTransaction().begin(); Employee emp = service.createEmployee(158, "John Doe", 45000); em.getTransaction().commit(); System.out.println("Persisted " + emp); // find a specific employee emp = service.findEmployee(158); System.out.println("Found " + emp); // find all employees // List<Employee> emps = service.findAllEmployees(); // for (Employee e : emps) // System.out.println("Found employee: " + e); // update the employee em.getTransaction().begin(); emp = service.raiseEmployeeSalary(158, 1000); em.getTransaction().commit(); System.out.println("Updated " + emp); // remove an employee em.getTransaction().begin(); service.removeEmployee(158); em.getTransaction().commit(); System.out.println("Removed Employee 158"); // close the EM and EMF when done em.close(); emf.close(); } } Finally my confs. pom.xml: <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>Test_JPA_CRUD</groupId> <artifactId>Test_JPA_CRUD</artifactId> <packaging>jar</packaging> <version>1.0</version> <name>Test_JPA_CRUD</name> <url>http://maven.apache.org</url> <repositories> <repository> <id>maven2-repository.dev.java.net</id> <name>Java.net Repository for Maven</name> <url>http://download.java.net/maven/2/ </url> <layout>default</layout> </repository> <repository> <id>maven.org</id> <name>maven.org Repository</name> <url>http://repo1.maven.org/maven2</url> <releases> <enabled>true</enabled> </releases> <snapshots> <enabled>true</enabled> </snapshots> </repository> </repositories> <dependencies> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.8.1</version> <scope>test</scope> </dependency> <!-- <dependency> <groupId>javax</groupId> <artifactId>javaee-api</artifactId> <version>6.0</version> </dependency> --> <!-- <dependency> <groupId>javax.persistence</groupId> <artifactId>persistence-api</artifactId> <version>1.0</version> </dependency> --> <!-- JPA2 provider --> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-entitymanager</artifactId> <version>3.4.0.GA</version> </dependency> <!-- JDBC driver --> <dependency> <groupId>org.apache.derby</groupId> <artifactId>derby</artifactId> <version>10.5.3.0_1</version> </dependency> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-core</artifactId> <version>3.3.2.GA</version> </dependency> <dependency> <groupId>org.hibernate</groupId> <artifactId>ejb3-persistence</artifactId> <version>3.3.2.Beta1</version> </dependency> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-annotations</artifactId> <version>3.4.0.GA</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-log4j12</artifactId> <version>1.5.2</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.14</version> </dependency> </dependencies> <build> <plugins> <!-- compile with mvn assembly:assembly --> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-jar-plugin</artifactId> <version>2.2</version> </plugin> <!-- compile with mvn assembly:assembly --> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-assembly-plugin</artifactId> <version>2.2-beta-2</version> <configuration> <descriptorRefs> <descriptorRef>jar-with-dependencies</descriptorRef> </descriptorRefs> <archive> <manifest> <mainClass>sas.test.main.ExecuteMe</mainClass> </manifest> </archive> </configuration> <executions> <execution> <phase>package</phase> </execution> </executions> </plugin> <plugin> <!-- Force UTF-8 & Java-Version 1.6 --> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <configuration> <source>1.6</source> <target>1.6</target> <!--<encoding>utf-8</encoding>--> </configuration> </plugin> </plugins> </build> </project> and the persistence.xml, which, I promise, is in the classpath of the target: <?xml version="1.0" encoding="UTF-8"?> <persistence version="1.0" xmlns="http://java.sun.com/xml/ns/persistence" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/persistence http://java.sun.com/xml/ns/persistence/persistence_1_0.xsd http://java.sun.com/xml/ns/persistence "> <persistence-unit name="EmployeeService" transaction-type="RESOURCE_LOCAL"> <provider>org.hibernate.ejb.HibernatePersistence</provider> <class>sas.test.model.Employee</class> <properties> <property name="javax.persistence.jdbc.driver" value="org.apache.derby.jdbc.EmbeddedDriver"/> <property name="hibernate.dialect" value="org.hibernate.dialect.DerbyDialect"/> <property name="hibernate.show_sql" value="true"/> <property name="javax.persistence.jdbc.url" value="jdbc:derby:webdb;create=true"/> </properties> </persistence-unit> </persistence> As you may have noticed from some commented code, I tried both, the Hibernate and the J2EE 6 implementation of JPA2.0, however, both failed. The above-mentioned code ends up with following error: log4j:WARN No appenders could be found for logger (org.hibernate.cfg.annotations.Version). log4j:WARN Please initialize the log4j system properly. Exception in thread "main" java.lang.UnsupportedOperationException: The user must supply a JDBC connection at org.hibernate.connection.UserSuppliedConnectionProvider.getConnection(UserSuppliedConnectionProvider.java:54) at org.hibernate.jdbc.ConnectionManager.openConnection(ConnectionManager.java:446) at org.hibernate.jdbc.ConnectionManager.getConnection(ConnectionManager.java:167) at org.hibernate.jdbc.JDBCContext.connection(JDBCContext.java:142) Any idea what's going wrong? Any "Hello World" maven/JPA2 demo that actually runs? I couldn't get any of those provided by google's search running. Thanx in advance.

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  • Sun Fire X4800 M2 Delivers World Record TPC-C for x86 Systems

    - by Brian
    Oracle's Sun Fire X4800 M2 server equipped with eight 2.4 GHz Intel Xeon Processor E7-8870 chips obtained a result of 5,055,888 tpmC on the TPC-C benchmark. This result is a world record for x86 servers. Oracle demonstrated this world record database performance running Oracle Database 11g Release 2 Enterprise Edition with Partitioning. The Sun Fire X4800 M2 server delivered a new x86 TPC-C world record of 5,055,888 tpmC with a price performance of $0.89/tpmC using Oracle Database 11g Release 2. This configuration is available 06/26/12. The Sun Fire X4800 M2 server delivers 3.0x times better performance than the next 8-processor result, an IBM System p 570 equipped with POWER6 processors. The Sun Fire X4800 M2 server has 3.1x times better price/performance than the 8-processor 4.7GHz POWER6 IBM System p 570. The Sun Fire X4800 M2 server has 1.6x times better performance than the 4-processor IBM x3850 X5 system equipped with Intel Xeon processors. This is the first TPC-C result on any system using eight Intel Xeon Processor E7-8800 Series chips. The Sun Fire X4800 M2 server is the first x86 system to get over 5 million tpmC. The Oracle solution utilized Oracle Linux operating system and Oracle Database 11g Enterprise Edition Release 2 with Partitioning to produce the x86 world record TPC-C benchmark performance. Performance Landscape Select TPC-C results (sorted by tpmC, bigger is better) System p/c/t tpmC Price/tpmC Avail Database MemorySize Sun Fire X4800 M2 8/80/160 5,055,888 0.89 USD 6/26/2012 Oracle 11g R2 4 TB IBM x3850 X5 4/40/80 3,014,684 0.59 USD 7/11/2011 DB2 ESE 9.7 3 TB IBM x3850 X5 4/32/64 2,308,099 0.60 USD 5/20/2011 DB2 ESE 9.7 1.5 TB IBM System p 570 8/16/32 1,616,162 3.54 USD 11/21/2007 DB2 9.0 2 TB p/c/t - processors, cores, threads Avail - availability date Oracle and IBM TPC-C Response times System tpmC Response Time (sec) New Order 90th% Response Time (sec) New Order Average Sun Fire X4800 M2 5,055,888 0.210 0.166 IBM x3850 X5 3,014,684 0.500 0.272 Ratios - Oracle Better 1.6x 1.4x 1.3x Oracle uses average new order response time for comparison between Oracle and IBM. Graphs of Oracle's and IBM's response times for New-Order can be found in the full disclosure reports on TPC's website TPC-C Official Result Page. Configuration Summary and Results Hardware Configuration: Server Sun Fire X4800 M2 server 8 x 2.4 GHz Intel Xeon Processor E7-8870 4 TB memory 8 x 300 GB 10K RPM SAS internal disks 8 x Dual port 8 Gbs FC HBA Data Storage 10 x Sun Fire X4270 M2 servers configured as COMSTAR heads, each with 1 x 3.06 GHz Intel Xeon X5675 processor 8 GB memory 10 x 2 TB 7.2K RPM 3.5" SAS disks 2 x Sun Storage F5100 Flash Array storage (1.92 TB each) 1 x Brocade 5300 switches Redo Storage 2 x Sun Fire X4270 M2 servers configured as COMSTAR heads, each with 1 x 3.06 GHz Intel Xeon X5675 processor 8 GB memory 11 x 2 TB 7.2K RPM 3.5" SAS disks Clients 8 x Sun Fire X4170 M2 servers, each with 2 x 3.06 GHz Intel Xeon X5675 processors 48 GB memory 2 x 300 GB 10K RPM SAS disks Software Configuration: Oracle Linux (Sun Fire 4800 M2) Oracle Solaris 11 Express (COMSTAR for Sun Fire X4270 M2) Oracle Solaris 10 9/10 (Sun Fire X4170 M2) Oracle Database 11g Release 2 Enterprise Edition with Partitioning Oracle iPlanet Web Server 7.0 U5 Tuxedo CFS-R Tier 1 Results: System: Sun Fire X4800 M2 tpmC: 5,055,888 Price/tpmC: 0.89 USD Available: 6/26/2012 Database: Oracle Database 11g Cluster: no New Order Average Response: 0.166 seconds Benchmark Description TPC-C is an OLTP system benchmark. It simulates a complete environment where a population of terminal operators executes transactions against a database. The benchmark is centered around the principal activities (transactions) of an order-entry environment. These transactions include entering and delivering orders, recording payments, checking the status of orders, and monitoring the level of stock at the warehouses. Key Points and Best Practices Oracle Database 11g Release 2 Enterprise Edition with Partitioning scales easily to this high level of performance. COMSTAR (Common Multiprotocol SCSI Target) is the software framework that enables an Oracle Solaris host to serve as a SCSI Target platform. COMSTAR uses a modular approach to break the huge task of handling all the different pieces in a SCSI target subsystem into independent functional modules which are glued together by the SCSI Target Mode Framework (STMF). The modules implementing functionality at SCSI level (disk, tape, medium changer etc.) are not required to know about the underlying transport. And the modules implementing the transport protocol (FC, iSCSI, etc.) are not aware of the SCSI-level functionality of the packets they are transporting. The framework hides the details of allocation providing execution context and cleanup of SCSI commands and associated resources and simplifies the task of writing the SCSI or transport modules. Oracle iPlanet Web Server middleware is used for the client tier of the benchmark. Each web server instance supports more than a quarter-million users while satisfying the response time requirement from the TPC-C benchmark. See Also Oracle Press Release -- Sun Fire X4800 M2 TPC-C Executive Summary tpc.org Complete Sun Fire X4800 M2 TPC-C Full Disclosure Report tpc.org Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page Sun Fire X4800 M2 Server oracle.com OTN Oracle Linux oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage F5100 Flash Array oracle.com OTN Disclosure Statement TPC Benchmark C, tpmC, and TPC-C are trademarks of the Transaction Processing Performance Council (TPC). Sun Fire X4800 M2 (8/80/160) with Oracle Database 11g Release 2 Enterprise Edition with Partitioning, 5,055,888 tpmC, $0.89 USD/tpmC, available 6/26/2012. IBM x3850 X5 (4/40/80) with DB2 ESE 9.7, 3,014,684 tpmC, $0.59 USD/tpmC, available 7/11/2011. IBM x3850 X5 (4/32/64) with DB2 ESE 9.7, 2,308,099 tpmC, $0.60 USD/tpmC, available 5/20/2011. IBM System p 570 (8/16/32) with DB2 9.0, 1,616,162 tpmC, $3.54 USD/tpmC, available 11/21/2007. Source: http://www.tpc.org/tpcc, results as of 7/15/2011.

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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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  • Megacli is killing me, any help appreciated

    - by Stefan
    I run a server with 2 drives in raid0 configured through BIOS. I just added 2 more drives using hotplug (the server is dell r610 with RHEL 5.4 64bit) and I would like to configure a separate raid0 partition on these drives. I am getting the following error: /opt/MegaRAID/MegaCli/MegaCli64 -CfgLdAdd r0[32:2, 32:3] -a0 The specified physical disk does not have the appropriate attributes to complete the requested command. Exit Code: 0x26 All the parameters are correct and there is just no reason why this command could not work, see this (fujitsu is current raid, seagate is the new one I want to create): /opt/MegaRAID/MegaCli/MegaCli64 -PDList -aALL | egrep 'Adapter|Enclosure|Slot|Inquiry' Adapter #0 Enclosure Device ID: 32 Slot Number: 0 Enclosure position: 0 Inquiry Data: FUJITSU MBD2147RC D807D0A4PA101174 Enclosure Device ID: 32 Slot Number: 1 Enclosure position: 0 Inquiry Data: FUJITSU MBD2147RC D807D0A4PA10115T Enclosure Device ID: 32 Slot Number: 2 Enclosure position: 0 Inquiry Data: SEAGATE ST9300603SS FS033SE0TF5K Enclosure Device ID: 32 Slot Number: 3 Enclosure position: 0 Inquiry Data: SEAGATE ST9300603SS FS023SE070FK I also tried to set up the drive as hotspare, also some strange error: /opt/MegaRAID/MegaCli/MegaCli64 -PDHSP -Set -physdrv[32:3] -a0 Adapter: 0: Set Physical Drive at EnclId-32 SlotId-3 as Hot Spare Failed. FW error description: The specified device is in a state that doesn't support the requested command. Exit Code: 0x32 As you can see the disk is in Unconfigured, Good state: Enclosure Device ID: 32 Slot Number: 3 Enclosure position: 0 Device Id: 3 Sequence Number: 1 Media Error Count: 0 Other Error Count: 0 Predictive Failure Count: 0 Last Predictive Failure Event Seq Number: 0 PD Type: SAS Raw Size: 279.396 GB [0x22ecb25c Sectors] Non Coerced Size: 278.896 GB [0x22dcb25c Sectors] Coerced Size: 278.875 GB [0x22dc0000 Sectors] Firmware state: Unconfigured(good), Spun Up SAS Address(0): 0x5000c50005cd20b1 SAS Address(1): 0x0 Connected Port Number: 3(path0) Inquiry Data: SEAGATE ST9300603SS FS023SE070FK FDE Capable: Not Capable FDE Enable: Disable Secured: Unsecured Locked: Unlocked Needs EKM Attention: No Foreign State: Foreign Foreign Secure: Drive is not secured by a foreign lock key Device Speed: Unknown Link Speed: Unknown Media Type: Hard Disk Device Drive Temperature :30C (86.00 F)

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  • Strange performance issue with Dell R7610 and LSI 2208 RAID controller

    - by GregC
    Connecting controller to any of the three PCIe x16 slots yield choppy read performance around 750 MB/sec Lowly PCIe x4 slot yields steady 1.2 GB/sec read Given same files, same Windows Server 2008 R2 OS, same RAID6 24-disk Seagate ES.2 3TB array on LSI 9286-8e, same Dell R7610 Precision Workstation with A03 BIOS, same W5000 graphics card (no other cards), same settings etc. I see super-low CPU utilization in both cases. SiSoft Sandra reports x8 at 5GT/sec in x16 slot, and x4 at 5GT/sec in x4 slot, as expected. I'd like to be able to rely on the sheer speed of x16 slots. What gives? What can I try? Any ideas? Please assist Cross-posted from http://en.community.dell.com/support-forums/desktop/f/3514/t/19526990.aspx Follow-up information We did some more performance testing with reading from 8 SSDs, connected directly (without an expander chip). This means that both SAS cables were utilized. We saw nearly double performance, but it varied from run to run: {2.0, 1.8, 1.6, and 1.4 GB/sec were observed, then performance jumped back up to 2.0}. The SSD RAID0 tests were conducted in a x16 PCIe slot, all other variables kept the same. It seems to me that we were getting double the performance of HDD-based RAID6 array. Just for reference: maximum possible read burst speed over single channel of SAS 6Gb/sec is 570 MB/sec due to 8b/10b encoding and protocol limitations (SAS cable provides four such channels).

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  • What am I (a beginner) losing, by choosing Cherokee over Apache for serving dynamic content?

    - by Bad Learner
    I am a complete beginner and am planning to setup a photo sharing site. This is the setup I am planning, basically for a start - - Cherokee (instead of Apache) for serving dynamic content (python-based application), and Nginx for serving static files. Since, I am a beginner, what have I, to lose? So, can someone, from your experience, please tell me, what I'd lose by choosing Cherokee over Apache for serving dynamic content in PHP/Python/whatever? Anything other than the fact that there's lot of documentation, many people who can help when there's an issue etc as Apache is well established and the most popular web server? Again, my intention is not to spurt a flame war here. Just wanted to know if Cherokee would be better than Apache in terms of performance, reliability, and speed, when it matters (peak load times). Also, I heard it's a lot faster than Apache in serving dynamic content, is it true?

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  • Amazon EC2: Not able to open web application even if port it opened

    - by learner
    I have a t1.micro instance with public dns looks similar to ec2-184-72-67-202.compute-1.amazonaws.com (some numbers changed) On this machine, I am running a django app $ sudo python manage.py runserver --settings=vlists.settings.dev Validating models... 0 errors found Django version 1.4.1, using settings 'vlists.settings.dev' Development server is running at http://127.0.0.1:8000/ I have opened the port 8000 through AWS console Now when I hit the following in Chrome http://ec2-184-72-67-202.compute-1.amazonaws.com:8000, I get Oops! Google Chrome could not connect to WHat is that I am doing wrong?

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  • Is it the address bus size or the data bus size that determines "8-bit , 16-bit ,32-bit ,64-bit " systems?

    - by learner
    My simple understanding is as follows. Memory (RAM) is composed of bits, groups of 8 which form bytes, each of which can be addressed ,and hence byte addressable memory. Address Bus stores the location of a byte of memory. If an address bus is of size 32 bits, that means it can hold upto 232 numbers and it hence can refer upto 232 bytes of memory = 4GB of memory and any memory greater than that is useless. Data bus is used to send the value to be written to/read off the memory. If I have a data bus of size 32 bits, it means a maximum of 4 bytes can be written to/read off the memory at a time. I find no relation between this size and the maximum memory size possible. But I read here that: Even though most systems are byte-addressable, it makes sense for the processor to move as much data around as possible. This is done by the data bus, and the size of the data bus is where the names 8-bit system, 16-bit system, 32-bit system, 64-bit system, etc.. come from. When the data bus is 8 bits wide, it can transfer 8 bits in a single memory operation. When the data bus is 32 bits wide (as is most common at the time of writing), at most, 32 bits can be moved in a single memory operation. This says that the size of the data bus is what gives an OS the name, 8bit, 16bit and so on. What is wrong with my understanding?

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  • Windows Server 2008 R2 install reboots unexpectedly during "Completing installation" phase

    - by knda
    I am attempting to install Windows Server 2008 R2 onto a Cisco UCS C201 M2 rack mounted server but am having major difficulties and wondering if anyone has some insight or items they could recommend for me to look at to get this one resolved. Installation is being attempted via the Cisco remote console (using CIMC's Virtual dvd-rom).. following the first phase of Setup where the installation files are copied to the target hard drive, then a reboot occurs to load Setup from the HDD, mid-way in the "Completing Installation" phase the system then reboots unexpectedly. System configuration Cisco UCS C201 M2 (2RU rack mounted server) 16GB RAM, 2x 73GB 15K SAS, 4x 300GB 10k SAS Add-on cards - Intel quad-port GigE card (no fibre channel cards) Storage - LSI MegaRAID SAS 9261-8i. onboard SATA is disabled (no SATA drives connected) KVM - Belkin No physical DVD-ROM.. :( I have... Run memtest86+, no RAM faults Disabled/enabled SATA support (BIOS) Attempted install from USB DVD-ROM, no effect Attempted unattended install scripted via Cisco Configuration Manager DVD provided Removed Belkin KVM in case that was causing drama Discovered that the Cisco website is "awesome" for searching for PDFs/Drivers cough, reverted back to Google Downloaded latest LSI drivers from LSI's site and used during Server 2008 install checked Windows ISO against checksum's from MS site checked Windows ISO by using it for an install in a VM Running out of ways to troubleshoot this as I am not sure how to enable any sort of 'verbose' mode during the setup process. Next step I have planned is to remove the Intel NIC and try the installation again.. Edit: Problem was the "Cisco INTEL QUAD PT GBE" (1000/PT) .. will have to see if this card is faulty or if it's just drivers.. thanks for the help.

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  • What is the standard system architecture for MongoDB

    - by learner
    I know this question is too vague, so I would like to add some key numbers to give insights about what the scenario is Each Document size - 360KB Total Documents - 1.5 million Document created/day - 2k read intensive - YES Availability requirement - HIGH With these requirements in mind, here is what I believe should be the architecture, but not too sure, please share your experiences and point me to right directions 2 Linux Box(Ubuntu 11 would do)(on a different rack setup for availability) 64-bit Mongo Database 1-master(for read/wr1te) and 1-slave(read-only with replication ON) Sharding not needed at this point in time Thank you in advance

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  • How to install imagemagick on windows 7

    - by learner
    How to install image magic at windows 7. I followed these instruction To install IMagick on windows xp (php 5.2.x) 1.) download and install ImageMagick-6.5.8-7 Q16-windows-dll.exe imagemagick.org/download/binaries/ ImageMagick-6.5.8-7-Q16-windows-dll.exe 2.) download php_imagick_dyn-Q16.dll from: valokuva.org/outside-blog-content/ imagick-windows-builds/080709/ copy dll to [PHP]/extension dir and rename it to php_imagick.dll 3.) You have to edit your php.ini file and add new extension "extension=php_imagick.dll" 4.) Save ini file and restart apache server. (If necessary, restart your windows) 5.) phpinfo() should show imagick enabled. after that I execute a sample script but its not working. it shows the Imagic class missing error. Please help me to install Imagick. :-(

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  • dd oflag=direct 5x fast

    - by César
    I have Centos 6.2 in server with this specs: 2xCPU 16 Core AMD Opteron 6282 SE 64GB RAM Raid controller H700 1GB cache NV - 2HD 74GB SAS 15Krpm RAID1 stripe 16k (OS Centos 6.2) sda - 4HD 146GB SAS 15Krpm RAID10 stripe 16k (ext4 bs 4096, no barriers) sdb -> /vol01 Raid controller H800 1GB cache nv - MD1200 12HD 300GB SAS 15Krpm RAID10 stripe 256k (For DB Postgres 8.3.18) (ext4 bs 4096, stride 64, stripe-width 384, no barriers) sdc -> /vol02 I'm benchmarking IO speed with dd, and view thah if in RAID10 12 disk exec: dd if=/dev/zero of=DD bs=8M count=10000 oflag=direct 10000+0 records in 10000+0 records out 83886080000 bytes (84 GB) copied, 126,03 s, 666 MB/s but if I remove "oflag=direct" option obtain about 80 MB/s. In read benchmark, results are similar: dd of=/dev/null if=DD bs=8M count=10000 iflag=direct 10000+0 records in 10000+0 records out 83886080000 bytes (84 GB) copied, 79,5918 s, 1,1 GB/s If remove iflag=direct obtain 150MB/s... I don't understand this huge differences, on other machines y don't have this behavior. Can I have some kernel parameter misconfigured? Thanks!

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  • Extend RAID 1 (HP SmartArray P410i) running Linux

    - by Oliver
    I took over a fairly simple server setup with the following RAID 1 config running Ubuntu 11.10 (Kernel 3.0.0-12-server x86_64): => ctrl all show config Smart Array P410i in Slot 0 (Embedded) (sn: removed) array A (SAS, Unused Space: 1335535 MB) logicaldrive 1 (279.4 GB, RAID 1, OK) physicaldrive 1I:1:1 (port 1I:box 1:bay 1, SAS, 1 TB, OK) physicaldrive 1I:1:2 (port 1I:box 1:bay 2, SAS, 1 TB, OK) Initially there were two 300GB disks that got replaced by 1TB disks and I now have to extend the logical volume to use that extra space. However, when trying to do so I get the following warning: => ctrl slot=0 ld 1 modify size=max Warning: Extension may not be supported on certain operating systems. Performing extension on these operating systems can cause data to become inaccessible. See ACU documentation for details. Continue? (y/n) Is it safe to say yes or am I at risk of corrupting the file system / loosing data? Rearranging and extending the file system afterwards shouldn't be an issue as I can take the server offline and boot from a gparted live disk. Here's the config of the RAID controller in use: => ctrl all show detail Smart Array P410i in Slot 0 (Embedded) Bus Interface: PCI Slot: 0 Serial Number: removed RAID 6 (ADG) Status: Disabled Controller Status: OK Hardware Revision: Rev C Firmware Version: 5.12 Rebuild Priority: Medium Expand Priority: Medium Surface Scan Delay: 15 secs Surface Scan Mode: Idle Wait for Cache Room: Disabled Surface Analysis Inconsistency Notification: Disabled Post Prompt Timeout: 0 secs Cache Board Present: False Drive Write Cache: Disabled SATA NCQ Supported: True And the partition table: Number Start End Size Type File system Flags 1 1049kB 274GB 274GB primary ext4 boot 2 274GB 300GB 25.8GB extended 5 274GB 300GB 25.8GB logical linux-swap(v1)

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  • Adding third disk as a single disk in a server with an existing RAID1

    - by slowhandsolo
    I've got a ProLiant DL360 G5 server (Fedora 13) with two SAS disks in a hardware RAID 1, working fine. Now I hot plugged another SAS disk. I'd like to configure this new hard disk out of my RAID, as a single non-RAID disk (ex. /dev/sdb). Even after rebooting the server, I can't see the new disk with "fdisk -l". It displays only my hardware RAID, but not the new disk. [root@myserver]# fdisk -l Disco /dev/cciss/c0d0: 300.0 GB, 299966445568 bytes Disposit. Inicio Comienzo Fin Bloques Id Sistema /dev/cciss/c0d0p1 * 1 126 512000 83 Linux /dev/cciss/c0d0p2 126 71798 292422656 8e Linux LVM Disco /dev/dm-0: 234.9 GB, 234881024000 bytes Disco /dev/dm-1: 10.5 GB, 10536091648 bytes Disco /dev/dm-2: 21.0 GB, 20971520000 bytes Disco /dev/dm-3: 31.5 GB, 31474057216 bytes Disco /dev/dm-4: 1577 MB, 1577058304 bytes However, I can see the new disk using the HP Array Configuration Utility CLI for Linux "hpacucli": [root@myserver]# hpacucli => controller slot=0 physicaldrive all show status physicaldrive 1I:1:1 (port 1I:box 1:bay 1, 300 GB): OK physicaldrive 1I:1:2 (port 1I:box 1:bay 2, 300 GB): OK physicaldrive 1I:1:3 (port 1I:box 1:bay 3, 300 GB): OK => controller slot=0 pd all show detail Smart Array P400i in Slot 0 (Embedded) array A physicaldrive 1I:1:1 Port: 1I Box: 1 Bay: 1 physicaldrive 1I:1:2 Port: 1I Box: 1 Bay: 2 **unassigned** physicaldrive 1I:1:3 Port: 1I Box: 1 Bay: 3 Status: OK Drive Type: **Unassigned Drive** As you can see, I've got two SAS disks in a RAID 1 and the new disk as "unassigned". Is there any way to work with the new disk as another non-RAID single disk? If relevant, I want to create a new partition in my new disk, format it with mkfs and mount it, but as I can't see it with fdisk, I don't know how to do it. Thanks!

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