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  • Using an Apt Repository for Paid Software Updates

    - by Scott Warren
    I'm trying to determine a way to distribute software updates for a hosted/on-site web application that may have weekly and/or monthly updates. I don't want the customers who use the on-site product to have to worry about updating it manually I just want it to download and install automatically ala Google Chrome. I'm planning on providing an OVF file with Ubuntu and the software installed and configured. My first thought on how to distributed software is to create six Apt repositories/channels (not sure which would be better at this point) that will be accessed through SSH using keys so if a customer doesn't renew their subscription we can disable their account: Beta - Used internally on test data to check the package for major defects. Internal - Used internally on live data to check the package for defects (dog fooding stage). External 1 - Deployed to 1% of our user base (randomly selected) to check for defects. External 9 - Deployed to 9% of our user base (ramdonly selected) to check for defects. External 90 - Deployed to the remaining 90% of users. Hosted - Deployed to the hosted environment. It will take a sign off at each stage to move into the next repository in case problems are reported. My questions to the community are: Has anyone tried something like this before? Can anyone see a downside to this type of a procedure? Is there a better way?

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  • Adattárház Fórum 2010. május 11.

    - by Fekete Zoltán
    Holnap, kedden az Adattárház Fórum 2010 rendezvényen egy érdekes eloadásban fog beszélni Jon Mead, a Rittman Mead Consulting egyik alapítója arról, hogyan használja az egyik vezeto egy brit kiskereskedelmi cég az Oracle Exadata / Database Machine rendszert az adattárházának sikeres, nagy teljesítményu muködösének. Az adattárház alapja, az Oracle Database tehát az Exadata platformon fut: Using Exadata in the Retail Sector: a Case Study. Ez az eloadás 15:10-kor kezdodik. 10:10-kor kezdodik a Szállítói kerekasztal, amin jómagam is részt veszek az Oracle oldaláról. Amirol beszélni fogok: Hogyan látja az Oracle az adattárházak fejlodését, és hogyan látja a világ az Oracle-t. 12:00-tól Fisher Erik, Sun fog érdekes eloadást tartani: Amit a hardverekrol mindig tudni szerettél volna címmel az adattárházakhoz használható hardverekrol. Itt is ki fog térni az Exadata / Database Machine megoldásban alkalmazott Smart Flash Cache alapját képezo Flash kártyákra is és a "hagyományos" :) tranzakciós, DW és más rendszerekben használható SSD diszkekre is. 10:20-kor a CERN eloadása kerül reflektorfénybe: From Tera Electronvolts to Terabytes - Physics Databases at CERN címmel. A CERN mindig is extrém felhasználója volt a technológiának, a határokat feszegetve és ezeket innovatív megoldásokkal kezelve.

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  • Passing multiple Vertex Attributes in GLSL 130

    - by Roy T.
    (note this question is closely related to this one however I didn't fully understand the accepted answer) To support videocards in laptops I have to rewrite my GLSL 330 shaders to GLSL 130. I'm trying to do this but somehow I don't get vertex attributes to work properly. My 330 shaders look like this: #version 330 layout(location = 0) in vec4 position; layout(location = 3) in vec4 color; smooth out vec4 theColor; void main() { gl_Position = position; theColor = color; } Now this explicit layout is not allowed in GLSL 130 so I referenced this page to see what the default layouts for some values would be. As you can see position should be the 0th vertex attribute and color should be the 3rd vertex attribute. Because this is a test case I had already configured my explicit layouts in the same way, which worked, so I now simply rewrote my shader to this and expected it to work: #version 130 smooth out vec4 theColor; void main() { gl_Position = gl_Vertex; theColor = gl_Color; } However this doesn't work, the value of gl_Color is always (1,1,1,1). So how should I pass multiple vertex attributes to my GLSL 130 shaders? For reference, this is how I set my vertex buffer object and attributes (I've just adapted this tutorial to JAVA+JOGL) gl.glBindBuffer(GL3.GL_ARRAY_BUFFER, vertex_buffer_id); gl.glEnableVertexAttribArray(0); gl.glEnableVertexAttribArray(3); gl.glVertexAttribPointer(0, 4 , GL3.GL_FLOAT, false, 0, 0); gl.glVertexAttribPointer(3, 4, GL3.GL_FLOAT, false, 0, 4*4*4); gl.glDrawArrays(GL3.GL_TRIANGLE_STRIP, 0, 4); gl.glDisableVertexAttribArray(0); gl.glDisableVertexAttribArray(3); EDIT I solved the problem by querying for the layout locations of position an color using glGetAttribLocation however I still don't understand why the 'hardcoded' values like gl_Color didn't work, can't I upload data in there as normal? Shouldn't they be used?

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  • Option Trading: Getting the most out of the event session options

    - by extended_events
    You can control different aspects of how an event session behaves by setting the event session options as part of the CREATE EVENT SESSION DDL. The default settings for the event session options are designed to handle most of the common event collection situations so I generally recommend that you just use the defaults. Like everything in the real world though, there are going to be a handful of “special cases” that require something different. This post focuses on identifying the special cases and the correct use of the options to accommodate those cases. There is a reason it’s called Default The default session options specify a total event buffer size of 4 MB with a 30 second latency. Translating this into human terms; this means that our default behavior is that the system will start processing events from the event buffer when we reach about 1.3 MB of events or after 30 seconds, which ever comes first. Aside: What’s up with the 1.3 MB, I thought you said the buffer was 4 MB?The Extended Events engine takes the total buffer size specified by MAX_MEMORY (4MB by default) and divides it into 3 equally sized buffers. This is done so that a session can be publishing events to one buffer while other buffers are being processed. There are always at least three buffers; how to get more than three is covered later. Using this configuration, the Extended Events engine can “keep up” with most event sessions on standard workloads. Why is this? The fact is that most events are small, really small; on the order of a couple hundred bytes. Even when you start considering events that carry dynamically sized data (eg. binary, text, etc.) or adding actions that collect additional data, the total size of the event is still likely to be pretty small. This means that each buffer can likely hold thousands of events before it has to be processed. When the event buffers are finally processed there is an economy of scale achieved since most targets support bulk processing of the events so they are processed at the buffer level rather than the individual event level. When all this is working together it’s more likely that a full buffer will be processed and put back into the ready queue before the remaining buffers (remember, there are at least three) are full. I know what you’re going to say: “My server is exceptional! My workload is so massive it defies categorization!” OK, maybe you weren’t going to say that exactly, but you were probably thinking it. The point is that there are situations that won’t be covered by the Default, but that’s a good place to start and this post assumes you’ve started there so that you have something to look at in order to determine if you do have a special case that needs different settings. So let’s get to the special cases… What event just fired?! How about now?! Now?! If you believe the commercial adage from Heinz Ketchup (Heinz Slow Good Ketchup ad on You Tube), some things are worth the wait. This is not a belief held by most DBAs, particularly DBAs who are looking for an answer to a troubleshooting question fast. If you’re one of these anxious DBAs, or maybe just a Program Manager doing a demo, then 30 seconds might be longer than you’re comfortable waiting. If you find yourself in this situation then consider changing the MAX_DISPATCH_LATENCY option for your event session. This option will force the event buffers to be processed based on your time schedule. This option only makes sense for the asynchronous targets since those are the ones where we allow events to build up in the event buffer – if you’re using one of the synchronous targets this option isn’t relevant. Avoid forgotten events by increasing your memory Have you ever had one of those days where you keep forgetting things? That can happen in Extended Events too; we call it dropped events. In order to optimizes for server performance and help ensure that the Extended Events doesn’t block the server if to drop events that can’t be published to a buffer because the buffer is full. You can determine if events are being dropped from a session by querying the dm_xe_sessions DMV and looking at the dropped_event_count field. Aside: Should you care if you’re dropping events?Maybe not – think about why you’re collecting data in the first place and whether you’re really going to miss a few dropped events. For example, if you’re collecting query duration stats over thousands of executions of a query it won’t make a huge difference to miss a couple executions. Use your best judgment. If you find that your session is dropping events it means that the event buffer is not large enough to handle the volume of events that are being published. There are two ways to address this problem. First, you could collect fewer events – examine you session to see if you are over collecting. Do you need all the actions you’ve specified? Could you apply a predicate to be more specific about when you fire the event? Assuming the session is defined correctly, the next option is to change the MAX_MEMORY option to a larger number. Picking the right event buffer size might take some trial and error, but a good place to start is with the number of dropped events compared to the number you’ve collected. Aside: There are three different behaviors for dropping events that you specify using the EVENT_RETENTION_MODE option. The default is to allow single event loss and you should stick with this setting since it is the best choice for keeping the impact on server performance low.You’ll be tempted to use the setting to not lose any events (NO_EVENT_LOSS) – resist this urge since it can result in blocking on the server. If you’re worried that you’re losing events you should be increasing your event buffer memory as described in this section. Some events are too big to fail A less common reason for dropping an event is when an event is so large that it can’t fit into the event buffer. Even though most events are going to be small, you might find a condition that occasionally generates a very large event. You can determine if your session is dropping large events by looking at the dm_xe_sessions DMV once again, this time check the largest_event_dropped_size. If this value is larger than the size of your event buffer [remember, the size of your event buffer, by default, is max_memory / 3] then you need a large event buffer. To specify a large event buffer you set the MAX_EVENT_SIZE option to a value large enough to fit the largest event dropped based on data from the DMV. When you set this option the Extended Events engine will create two buffers of this size to accommodate these large events. As an added bonus (no extra charge) the large event buffer will also be used to store normal events in the cases where the normal event buffers are all full and waiting to be processed. (Note: This is just a side-effect, not the intended use. If you’re dropping many normal events then you should increase your normal event buffer size.) Partitioning: moving your events to a sub-division Earlier I alluded to the fact that you can configure your event session to use more than the standard three event buffers – this is called partitioning and is controlled by the MEMORY_PARTITION_MODE option. The result of setting this option is fairly easy to explain, but knowing when to use it is a bit more art than science. First the science… You can configure partitioning in three ways: None, Per NUMA Node & Per CPU. This specifies the location where sets of event buffers are created with fairly obvious implication. There are rules we follow for sub-dividing the total memory (specified by MAX_MEMORY) between all the event buffers that are specific to the mode used: None: 3 buffers (fixed)Node: 3 * number_of_nodesCPU: 2.5 * number_of_cpus Here are some examples of what this means for different Node/CPU counts: Configuration None Node CPU 2 CPUs, 1 Node 3 buffers 3 buffers 5 buffers 6 CPUs, 2 Node 3 buffers 6 buffers 15 buffers 40 CPUs, 5 Nodes 3 buffers 15 buffers 100 buffers   Aside: Buffer size on multi-processor computersAs the number of Nodes or CPUs increases, the size of the event buffer gets smaller because the total memory is sub-divided into more pieces. The defaults will hold up to this for a while since each buffer set is holding events only from the Node or CPU that it is associated with, but at some point the buffers will get too small and you’ll either see events being dropped or you’ll get an error when you create your session because you’re below the minimum buffer size. Increase the MAX_MEMORY setting to an appropriate number for the configuration. The most likely reason to start partitioning is going to be related to performance. If you notice that running an event session is impacting the performance of your server beyond a reasonably expected level [Yes, there is a reasonably expected level of work required to collect events.] then partitioning might be an answer. Before you partition you might want to check a few other things: Is your event retention set to NO_EVENT_LOSS and causing blocking? (I told you not to do this.) Consider changing your event loss mode or increasing memory. Are you over collecting and causing more work than necessary? Consider adding predicates to events or removing unnecessary events and actions from your session. Are you writing the file target to the same slow disk that you use for TempDB and your other high activity databases? <kidding> <not really> It’s always worth considering the end to end picture – if you’re writing events to a file you can be impacted by I/O, network; all the usual stuff. Assuming you’ve ruled out the obvious (and not so obvious) issues, there are performance conditions that will be addressed by partitioning. For example, it’s possible to have a successful event session (eg. no dropped events) but still see a performance impact because you have many CPUs all attempting to write to the same free buffer and having to wait in line to finish their work. This is a case where partitioning would relieve the contention between the different CPUs and likely reduce the performance impact cause by the event session. There is no DMV you can check to find these conditions – sorry – that’s where the art comes in. This is  largely a matter of experimentation. On the bright side you probably won’t need to to worry about this level of detail all that often. The performance impact of Extended Events is significantly lower than what you may be used to with SQL Trace. You will likely only care about the impact if you are trying to set up a long running event session that will be part of your everyday workload – sessions used for short term troubleshooting will likely fall into the “reasonably expected impact” category. Hey buddy – I think you forgot something OK, there are two options I didn’t cover: STARTUP_STATE & TRACK_CAUSALITY. If you want your event sessions to start automatically when the server starts, set the STARTUP_STATE option to ON. (Now there is only one option I didn’t cover.) I’m going to leave causality for another post since it’s not really related to session behavior, it’s more about event analysis. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Clustering Basics and Challenges

    - by Karoly Vegh
    For upcoming posts it seemed to be a good idea to dedicate some time for cluster basic concepts and theory. This post misses a lot of details that would explode the articlesize, should you have questions, do not hesitate to ask them in the comments.  The goal here is to get some concepts straight. I can't promise to give you an overall complete definitions of cluster, cluster agent, quorum, voting, fencing, split brain condition, so the following is more of an explanation. Here we go. -------- Cluster, HA, failover, switchover, scalability -------- An attempted definition of a Cluster: A cluster is a set (2+) server nodes dedicated to keep application services alive, communicating through the cluster software/framework with eachother, test and probe health status of servernodes/services and with quorum based decisions and with switchover/failover techniques keep the application services running on them available. That is, should a node that runs a service unexpectedly lose functionality/connection, the other ones would take over the and run the services, so that availability is guaranteed. To provide availability while strictly sticking to a consistent clusterconfiguration is the main goal of a cluster.  At this point we have to add that this defines a HA-cluster, a High-Availability cluster, where the clusternodes are planned to run the services in an active-standby, or failover fashion. An example could be a single instance database. Some applications can be run in a distributed or scalable fashion. In the latter case instances of the application run actively on separate clusternodes serving servicerequests simultaneously. An example for this version could be a webserver that forwards connection requests to many backend servers in a round-robin way. Or a database running in active-active RAC setup.  -------- Cluster arhitecture, interconnect, topologies -------- Now, what is a cluster made of? Servers, right. These servers (the clusternodes) need to communicate. This of course happens over the network, usually over dedicated network interfaces interconnecting all the clusternodes. These connection are called interconnects.How many clusternodes are in a cluster? There are different cluster topologies. The most simple one is a clustered pair topology, involving only two clusternodes:  There are several more topologies, clicking the image above will take you to the relevant documentation. Also, to answer the question Solaris Cluster allows you to run up to 16 servers in a cluster. Where shall these clusternodes be placed? A very important question. The right answer is: It depends on what you plan to achieve with the cluster. Do you plan to avoid only a server outage? Then you can place them right next to eachother in the datacenter. Do you need to avoid DataCenter outage? In that case of course you should place them at least in different fire zones. Or in two geographically distant DataCenters to avoid disasters like floods, large-scale fires or power outages. We call this a stretched- or campus cluster, the clusternodes being several kilometers away from eachother. To cover really large distances, you probably need to move to a GeoCluster, which is a different kind of animal.  What is a geocluster? A Geographic Cluster in Solaris Cluster terms is actually a metacluster between two, separate (locally-HA) clusters.  -------- Cluster resource types, agents, resources, resource groups -------- So how does the cluster manage my applications? The cluster needs to start, stop and probe your applications. If you application runs, the cluster needs to check regularly if the application state is healthy, does it respond over the network, does it have all the processes running, etc. This is called probing. If the cluster deems the application is in a faulty state, then it can try to restart it locally or decide to switch (stop on node A, start on node B) the service. Starting, stopping and probing are the three actions that a cluster agent does. There are many different kinds of agents included in Solaris Cluster, but you can build your own too. Examples are an agent that manages (mounts, moves) ZFS filesystems, or the Oracle DB HA agent that cares about the database, or an agent that moves a floating IP address between nodes. There are lots of other agents included for Apache, Tomcat, MySQL, Oracle DB, Oracle Weblogic, Zones, LDoms, NFS, DNS, etc.We also need to clarify the difference between a cluster resource and the cluster resource group.A cluster resource is something that is managed by a cluster agent. Cluster resource types are included in Solaris cluster (see above, e.g. HAStoragePlus, HA-Oracle, LogicalHost). You can group cluster resources into cluster resourcegroups, and switch these groups together from one node to another. To stick to the example above, to move an Oracle DB service from one node to another, you have to switch the group between nodes, and the agents of the cluster resources in the group will do the following:  On node A Shut down the DB Unconfigure the LogicalHost IP the DB Listener listens on unmount the filesystem   Then, on node B: mount the FS configure the IP  startup the DB -------- Voting, Quorum, Split Brain Condition, Fencing, Amnesia -------- How do the clusternodes agree upon their action? How do they decide which node runs what services? Another important question. Running a cluster is a strictly democratic thing.Every node has votes, and you need the majority of votes to have the deciding power. Now, this is usually no problem, clusternodes think very much all alike. Still, every action needs to be governed upon in a productive system, and has to be agreed upon. Agreeing is easy as long as the clusternodes all behave and talk to eachother over the interconnect. But if the interconnect is gone/down, this all gets tricky and confusing. Clusternodes think like this: "My job is to run these services. The other node does not answer my interconnect communication, it must be down. I'd better take control and run the services!". The problem is, as I have already mentioned, clusternodes very much think alike. If the interconnect is gone, they all assume the other node is down, and they all want to mount the data backend, enable the IP and run the database. Double IPs, double mounts, double DB instances - now that is trouble. Also, in a 2-node cluster they both have only 50% of the votes, that is, they themselves alone are not allowed to run a cluster.  This is where you need a quorum device. According to Wikipedia, the "requirement for a quorum is protection against totally unrepresentative action in the name of the body by an unduly small number of persons.". They need additional votes to run the cluster. For this requirement a 2-node cluster needs a quorum device or a quorum server. If the interconnect is gone, (this is what we call a split brain condition) both nodes start to race and try to reserve the quorum device to themselves. They do this, because the quorum device bears an additional vote, that could ensure majority (50% +1). The one that manages to lock the quorum device (e.g. if it's an FC LUN, it SCSI reserves it) wins the right to build/run a cluster, the other one - realizing he was late - panics/reboots to ensure the cluster config stays consistent.  Losing the interconnect isn't only endangering the availability of services, but it also endangers the cluster configuration consistence. Just imagine node A being down and during that the cluster configuration changes. Now node B goes down, and node A comes up. It isn't uptodate about the cluster configuration's changes so it will refuse to start a cluster, since that would lead to cluster amnesia, that is the cluster had some changes, but now runs with an older cluster configuration repository state, that is it's like it forgot about the changes.  Also, to ensure application data consistence, the clusternode that wins the race makes sure that a server that isn't part of or can't currently join the cluster can access the devices. This procedure is called fencing. This usually happens to storage LUNs via SCSI reservation.  Now, another important question: Where do I place the quorum disk?  Imagine having two sites, two separate datacenters, one in the north of the city and the other one in the south part of it. You run a stretched cluster in the clustered pair topology. Where do you place the quorum disk/server? If you put it into the north DC, and that gets hit by a meteor, you lose one clusternode, which isn't a problem, but you also lose your quorum, and the south clusternode can't keep the cluster running lacking the votes. This problem can't be solved with two sites and a campus cluster. You will need a third site to either place the quorum server to, or a third clusternode. Otherwise, lacking majority, if you lose the site that had your quorum, you lose the cluster. Okay, we covered the very basics. We haven't talked about virtualization support, CCR, ClusterFilesystems, DID devices, affinities, storage-replication, management tools, upgrade procedures - should those be interesting for you, let me know in the comments, along with any other questions. Given enough demand I'd be glad to write a followup post too. Now I really want to move on to the second part in the series: ClusterInstallation.  Oh, as for additional source of information, I recommend the documentation: http://docs.oracle.com/cd/E23623_01/index.html, and the OTN Oracle Solaris Cluster site: http://www.oracle.com/technetwork/server-storage/solaris-cluster/index.html

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  • Collision detection with multiple polygons simultaneously

    - by Craig Innes
    I've written a collision system which detects/resolves collisions between a rectangular player and a convex polygon world using the Separating Axis Theorem. This scheme works fine when the player is colliding with a single polygon, but when I try to create a level made up of combinations of these shapes, the player gets "stuck" between shapes when trying to move from one polygon to the other. The reason for this seems to be that collisions are detected after the player has been pushed through the shape by its movement or gravity. When the system resolves the collision, it resolves them in an order that doesn't make sense (for example, when the player is moving from one flat rectangle to another, gravity pushes them below the ground, but the collision with the left hand side of the second block is resolved before the collision with the top of the block, meaning the player is pushed back left before being pushed back up). Other similar posts have resolved this problem by having a strict rule on which axes to resolve first. For example, always resolve the collision on the y axis, then if the object is still colliding with things, resolve on the x axis. This solution only works in the case of a completely axis oriented box world, and doesn't solve the problem if the player is stuck moving along a series of angled shapes or sliding down a wall. Does any one have any ideas of how I could alter my collision system to prevent these situations from happening?

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  • OpenSSH SFTP server with chroot() + user with chroot exception

    - by HannesFostie
    I am currently setting up an SFTP server but there is one detail I can't seem to figure out. When I add a user, I would like him to connect using his client and be able to write in his "root dir" right away. My Match case for the SFTP-users group currently has ChrootDirectory set as "/home/%u", and inside that directory I have to have a subdirectory owned by the user, while /home/%u itself is owned by root. Next to that, the "root dir" also has a couple files, .bashrc to name one. Is it possible to put these files somewhere else, remove them, or at least make them invisible to the user? Thanks EDIT: One more little thing I'd like to implement is for one account to have read (or rw, not sure yet) access to all other users' home directories. What is the easiest way to implement this? EDIT 2: Basically, having one user be an exception to the chroot rule would get me started.

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  • Git - post-receive hook with git pull "Failed to find a valid git directory"

    - by ludicco
    It's very weird but when setting a git repository and creating a post-receive hook with: echo "--initializing hook--" cd ~/websites/testing echo "--prepare update--" git pull echo "--update completed--" the hook runs indeed, but it never manage to run git pull properly: 6bfa32c..71c3d2a master -> master --initializing hook-- --prepare update-- fatal: Not a git repository: '.' Failed to find a valid git directory. --update completed-- so I'm asking myself now, how it's possible to make the hook update the clone with post-receive? in this case the user running the processes is the same, and its everything inside the user folder so I really don't understand...because if if I go manually into cd ~/websites/testing git pull it works without any problem... any help on that would be pretty much appreciated Thanks a lot

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  • Automating an SSRS 2008 R2 Report Snapshots and run report with most recent data

    - by Mr Shoubs
    I would like to automate a report snapshot, but there is only an option to take a snapshot in the Report History Tab. All the resources I've found suggest I need to go to processing options and select "Render this report from a snapshot". But I don't want to do that - when I go to a report, I want to get the most recent data. However daily at midnight I'd like to take a snapshot and store it in the history in case I want to compare the reports as of midnight for the last few weeks. Or am I doing this wrong and have to create a subscription instead? Note: this is for an auditing database and has way to much data in to query a range with more than 1 day in it - reports are restricted as such. (1 day has over 1 million rows on it's own).

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  • Add game mechanics through equipment?

    - by Sidar
    In a game with different weapons and armor that actually affect more than just player stats, how would you achieve such effect? (These are just examples not concrete ideas ) For example we could have a handgun, uzi and then you have the graviton-gun. The first two would just shoot bullets, the third one does more than just shoot a simple projectile. It could allow the player to hold an enemy and drag it to use it as a meat shield. The player could also wear generic armor but at some point wears armor that can absorb projectiles. After absorbing enough projectiles you can shoot a giant blast. All these weapons/armor have different "behaviors" that either just raise stats or actually add new mechanics. In a simple case most guns would have similar properties and changing a few settings would create a new weapon (handgun shoots at an interval of x amount of seconds, lower this number and you have a machinegun). This obviously does not work if you intend to do more than just shoot projectiles. I'm pretty much stuck on writing the interface structure. While weapons and armor have different purposes they should both be able to process certain effects that change or add mechanics in the game world.

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  • ESXi 5 network performance is slow

    - by R D
    We just did a fresh install of ESXi 5 on a host that was running ESX 4 before. Nothing has changed hardware wise. After the upgrade network performance is much slower. Even copying a big file from one VM to another VM within same virtual switch is slower compared to other hosts that are running ESX 4. Network cards are auto-negotiating at 1Gbps as were on ESX 4 prior to upgrade. All settings are default and I haven't played with Advanced Settings at all. Before opening a case with vmware, wanted to know if I am missing something or if others have experienced similar issues and found a fix?

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  • LINQ: Single vs. First

    - by Paulo Morgado
    I’ve witnessed and been involved in several discussions around the correctness or usefulness of the Single method in the LINQ API. The most common argument is that you are querying for the first element on the result set and an exception will be thrown if there’s more than one element. The First method should be used instead, because it doesn’t throw if the result set has more than one item. Although the documentation for Single states that it returns a single, specific element of a sequence of values, it actually returns THE single, specific element of a sequence of ONE value. One you use the Single method in your code you are asserting that your query will result in a scalar result instead of a result set of arbitrary length. On the other hand, the documentation for First states that it returns the first element of a sequence of arbitrary length. Imagine you want to catch a taxi. You go the the taxi line and catch the FIRST one, no matter how many are there. On the other hand, if you go the the parking lot to get your car, you want the SINGLE one specific car that’s yours. If your “query” “returns” more than one car, it’s an exception. Either because it “returned” not only your car or you happen to have more than one car in that parking lot. In either case, you can only drive one car at once and you’ll need to refine your “query”.

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  • IASA South East Florida Chapter Meeting Recap - June 2011

    - by Sam Abraham
    Erik Russell and Giles Marino were our speakers for the June 2011 IASA South East Florida Chapter meeting.    Attendees filled all available seats at the Microsoft office conference room where the event was held. This highlights the high interest in Enterprise Architecture as a career track and chartered project role. Also in attendance were our Board of Directors and Alex Funkhouser, President, Sherlock Technology.   Rainer Habermann, Chapter President, kicked off the meeting by introducing our speakers and Board of Directors.   Alex Funkhouser, President of South Florida’s staffing firm Sherlock Technology spoke briefly about available Software Architect positions in the area. Alex also congratulated and presented this week’s Sherlock Raffle winner with $500 in cash.   Our speakers Giles and Erik then proceeded with their talk. Erik presented a business case in the government sector where Enterprise Architecture helped a government entity cut costs and streamline its various business operations. Technologies leveraged in Erik’s demonstrated project were Java-based.   Giles then followed with a thorough demonstration of the Architecture patterns he used to migrate a complete backend system for an insurance company to the .Net Platform.   Audience was very engaged with our speakers as evidenced by the large number of follow-up questions asked at the end of the talk.   We greatly enjoyed Giles and Erik’s talk and look forward to having them share with us more of their adventures as Enterprise Architects in the near future.   Below are some photos of the event.   Sam Abraham Secretary- IASA South East Florida Chapter. http://www.iasaglobal.org/iasa/South_East_Florida.asp Chapter President - Rainer Habermann kicks off our meeting.   Sherlock Technology President Alex Funkhouser holding Sherlock's weekly cash prize. Alex shares available Software Architect opportunities with our members Erik Russell addressing our membership Giles Marino sharing his architecture experience in the insurance industry In this photo: Dave Noderer, Rainer Habermann, Quent Herschelman and Alex Funkhouser. Event attracted a large audience and filled the Microsoft conference room where it was held

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  • Generate webservice proxy using oracle ant tasks

    - by adrian.muraru
    Proxy generation tends to be very slow when done using jdeveloper wizard and even more this time increases when jdeveloper is started over a remote desktop connection. So here's step-by-step howto that can be used to generate webservice proxy from your *nix shell Create a dir in your scratch area : e.g. /tmp/<username>/genproxy Get build.xml file attached, save it in the dir above and change the properties defined in it to match your ws endpoint. More specifically you need to edit: proxy.wsdl - the path (either locally or URL) where WSDL file can be accessed from proxy.handler - the handler class proxy.package - the class package where the proxy will be generated Start a new shell session (out of the ADE view if you're using one) and set the environment needed for proxy generation using ant and Oracle WebServicesAssembler genProxy [1] $ setenv ORACLE_HOME /opt/jdev_local/10.1.3/ $ setenv PATH $ORACLE_HOME/ant/bin:$PATH Note that the above env setup is needed even if you already have ORACLE_HOME set and ant utiliy available in your PATH. That way you'll be sure the proxy will be generated using the same libraries your jdeveloper is using in its wizard Generate proxy $ cd /tmp/<username>/genproxy $ ant genproxy And voila, the proxy files should be available in ./src directory. Notes: [1] More information about genProxy can be found at : http://download.oracle.com/docs/cd/B32110_01/web.1013/b28974/wsassemble.htm#CHDJJIEI [2] In my case this method is much faster then using the jdeveloper wizard (15secs compared to 25minutes) [3] There is one minor drawback though, the jdeveloper .proxy configuration file is not generated. -Adrian

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  • So…is it a Seek or a Scan?

    - by Paul White
    You’re probably most familiar with the terms ‘Seek’ and ‘Scan’ from the graphical plans produced by SQL Server Management Studio (SSMS).  The image to the left shows the most common ones, with the three types of scan at the top, followed by four types of seek.  You might look to the SSMS tool-tip descriptions to explain the differences between them: Not hugely helpful are they?  Both mention scans and ranges (nothing about seeks) and the Index Seek description implies that it will not scan the index entirely (which isn’t necessarily true). Recall also yesterday’s post where we saw two Clustered Index Seek operations doing very different things.  The first Seek performed 63 single-row seeking operations; and the second performed a ‘Range Scan’ (more on those later in this post).  I hope you agree that those were two very different operations, and perhaps you are wondering why there aren’t different graphical plan icons for Range Scans and Seeks?  I have often wondered about that, and the first person to mention it after yesterday’s post was Erin Stellato (twitter | blog): Before we go on to make sense of all this, let’s look at another example of how SQL Server confusingly mixes the terms ‘Scan’ and ‘Seek’ in different contexts.  The diagram below shows a very simple heap table with two columns, one of which is the non-clustered Primary Key, and the other has a non-unique non-clustered index defined on it.  The right hand side of the diagram shows a simple query, it’s associated query plan, and a couple of extracts from the SSMS tool-tip and Properties windows. Notice the ‘scan direction’ entry in the Properties window snippet.  Is this a seek or a scan?  The different references to Scans and Seeks are even more pronounced in the XML plan output that the graphical plan is based on.  This fragment is what lies behind the single Index Seek icon shown above: You’ll find the same confusing references to Seeks and Scans throughout the product and its documentation. Making Sense of Seeks Let’s forget all about scans for a moment, and think purely about seeks.  Loosely speaking, a seek is the process of navigating an index B-tree to find a particular index record, most often at the leaf level.  A seek starts at the root and navigates down through the levels of the index to find the point of interest: Singleton Lookups The simplest sort of seek predicate performs this traversal to find (at most) a single record.  This is the case when we search for a single value using a unique index and an equality predicate.  It should be readily apparent that this type of search will either find one record, or none at all.  This operation is known as a singleton lookup.  Given the example table from before, the following query is an example of a singleton lookup seek: Sadly, there’s nothing in the graphical plan or XML output to show that this is a singleton lookup – you have to infer it from the fact that this is a single-value equality seek on a unique index.  The other common examples of a singleton lookup are bookmark lookups – both the RID and Key Lookup forms are singleton lookups (an RID lookup finds a single record in a heap from the unique row locator, and a Key Lookup does much the same thing on a clustered table).  If you happen to run your query with STATISTICS IO ON, you will notice that ‘Scan Count’ is always zero for a singleton lookup. Range Scans The other type of seek predicate is a ‘seek plus range scan’, which I will refer to simply as a range scan.  The seek operation makes an initial descent into the index structure to find the first leaf row that qualifies, and then performs a range scan (either backwards or forwards in the index) until it reaches the end of the scan range. The ability of a range scan to proceed in either direction comes about because index pages at the same level are connected by a doubly-linked list – each page has a pointer to the previous page (in logical key order) as well as a pointer to the following page.  The doubly-linked list is represented by the green and red dotted arrows in the index diagram presented earlier.  One subtle (but important) point is that the notion of a ‘forward’ or ‘backward’ scan applies to the logical key order defined when the index was built.  In the present case, the non-clustered primary key index was created as follows: CREATE TABLE dbo.Example ( key_col INTEGER NOT NULL, data INTEGER NOT NULL, CONSTRAINT [PK dbo.Example key_col] PRIMARY KEY NONCLUSTERED (key_col ASC) ) ; Notice that the primary key index specifies an ascending sort order for the single key column.  This means that a forward scan of the index will retrieve keys in ascending order, while a backward scan would retrieve keys in descending key order.  If the index had been created instead on key_col DESC, a forward scan would retrieve keys in descending order, and a backward scan would return keys in ascending order. A range scan seek predicate may have a Start condition, an End condition, or both.  Where one is missing, the scan starts (or ends) at one extreme end of the index, depending on the scan direction.  Some examples might help clarify that: the following diagram shows four queries, each of which performs a single seek against a column holding every integer from 1 to 100 inclusive.  The results from each query are shown in the blue columns, and relevant attributes from the Properties window appear on the right: Query 1 specifies that all key_col values less than 5 should be returned in ascending order.  The query plan achieves this by seeking to the start of the index leaf (there is no explicit starting value) and scanning forward until the End condition (key_col < 5) is no longer satisfied (SQL Server knows it can stop looking as soon as it finds a key_col value that isn’t less than 5 because all later index entries are guaranteed to sort higher). Query 2 asks for key_col values greater than 95, in descending order.  SQL Server returns these results by seeking to the end of the index, and scanning backwards (in descending key order) until it comes across a row that isn’t greater than 95.  Sharp-eyed readers may notice that the end-of-scan condition is shown as a Start range value.  This is a bug in the XML show plan which bubbles up to the Properties window – when a backward scan is performed, the roles of the Start and End values are reversed, but the plan does not reflect that.  Oh well. Query 3 looks for key_col values that are greater than or equal to 10, and less than 15, in ascending order.  This time, SQL Server seeks to the first index record that matches the Start condition (key_col >= 10) and then scans forward through the leaf pages until the End condition (key_col < 15) is no longer met. Query 4 performs much the same sort of operation as Query 3, but requests the output in descending order.  Again, we have to mentally reverse the Start and End conditions because of the bug, but otherwise the process is the same as always: SQL Server finds the highest-sorting record that meets the condition ‘key_col < 25’ and scans backward until ‘key_col >= 20’ is no longer true. One final point to note: seek operations always have the Ordered: True attribute.  This means that the operator always produces rows in a sorted order, either ascending or descending depending on how the index was defined, and whether the scan part of the operation is forward or backward.  You cannot rely on this sort order in your queries of course (you must always specify an ORDER BY clause if order is important) but SQL Server can make use of the sort order internally.  In the four queries above, the query optimizer was able to avoid an explicit Sort operator to honour the ORDER BY clause, for example. Multiple Seek Predicates As we saw yesterday, a single index seek plan operator can contain one or more seek predicates.  These seek predicates can either be all singleton seeks or all range scans – SQL Server does not mix them.  For example, you might expect the following query to contain two seek predicates, a singleton seek to find the single record in the unique index where key_col = 10, and a range scan to find the key_col values between 15 and 20: SELECT key_col FROM dbo.Example WHERE key_col = 10 OR key_col BETWEEN 15 AND 20 ORDER BY key_col ASC ; In fact, SQL Server transforms the singleton seek (key_col = 10) to the equivalent range scan, Start:[key_col >= 10], End:[key_col <= 10].  This allows both range scans to be evaluated by a single seek operator.  To be clear, this query results in two range scans: one from 10 to 10, and one from 15 to 20. Final Thoughts That’s it for today – tomorrow we’ll look at monitoring singleton lookups and range scans, and I’ll show you a seek on a heap table. Yes, a seek.  On a heap.  Not an index! If you would like to run the queries in this post for yourself, there’s a script below.  Thanks for reading! IF OBJECT_ID(N'dbo.Example', N'U') IS NOT NULL BEGIN DROP TABLE dbo.Example; END ; -- Test table is a heap -- Non-clustered primary key on 'key_col' CREATE TABLE dbo.Example ( key_col INTEGER NOT NULL, data INTEGER NOT NULL, CONSTRAINT [PK dbo.Example key_col] PRIMARY KEY NONCLUSTERED (key_col) ) ; -- Non-unique non-clustered index on the 'data' column CREATE NONCLUSTERED INDEX [IX dbo.Example data] ON dbo.Example (data) ; -- Add 100 rows INSERT dbo.Example WITH (TABLOCKX) ( key_col, data ) SELECT key_col = V.number, data = V.number FROM master.dbo.spt_values AS V WHERE V.[type] = N'P' AND V.number BETWEEN 1 AND 100 ; -- ================ -- Singleton lookup -- ================ ; -- Single value equality seek in a unique index -- Scan count = 0 when STATISTIS IO is ON -- Check the XML SHOWPLAN SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col = 32 ; -- =========== -- Range Scans -- =========== ; -- Query 1 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col <= 5 ORDER BY E.key_col ASC ; -- Query 2 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col > 95 ORDER BY E.key_col DESC ; -- Query 3 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col >= 10 AND E.key_col < 15 ORDER BY E.key_col ASC ; -- Query 4 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col >= 20 AND E.key_col < 25 ORDER BY E.key_col DESC ; -- Final query (singleton + range = 2 range scans) SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col = 10 OR E.key_col BETWEEN 15 AND 20 ORDER BY E.key_col ASC ; -- === TIDY UP === DROP TABLE dbo.Example; © 2011 Paul White email: [email protected] twitter: @SQL_Kiwi

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  • Hello Operator, My Switch Is Bored

    - by Paul White
    This is a post for T-SQL Tuesday #43 hosted by my good friend Rob Farley. The topic this month is Plan Operators. I haven’t taken part in T-SQL Tuesday before, but I do like to write about execution plans, so this seemed like a good time to start. This post is in two parts. The first part is primarily an excuse to use a pretty bad play on words in the title of this blog post (if you’re too young to know what a telephone operator or a switchboard is, I hate you). The second part of the post looks at an invisible query plan operator (so to speak). 1. My Switch Is Bored Allow me to present the rare and interesting execution plan operator, Switch: Books Online has this to say about Switch: Following that description, I had a go at producing a Fast Forward Cursor plan that used the TOP operator, but had no luck. That may be due to my lack of skill with cursors, I’m not too sure. The only application of Switch in SQL Server 2012 that I am familiar with requires a local partitioned view: CREATE TABLE dbo.T1 (c1 int NOT NULL CHECK (c1 BETWEEN 00 AND 24)); CREATE TABLE dbo.T2 (c1 int NOT NULL CHECK (c1 BETWEEN 25 AND 49)); CREATE TABLE dbo.T3 (c1 int NOT NULL CHECK (c1 BETWEEN 50 AND 74)); CREATE TABLE dbo.T4 (c1 int NOT NULL CHECK (c1 BETWEEN 75 AND 99)); GO CREATE VIEW V1 AS SELECT c1 FROM dbo.T1 UNION ALL SELECT c1 FROM dbo.T2 UNION ALL SELECT c1 FROM dbo.T3 UNION ALL SELECT c1 FROM dbo.T4; Not only that, but it needs an updatable local partitioned view. We’ll need some primary keys to meet that requirement: ALTER TABLE dbo.T1 ADD CONSTRAINT PK_T1 PRIMARY KEY (c1);   ALTER TABLE dbo.T2 ADD CONSTRAINT PK_T2 PRIMARY KEY (c1);   ALTER TABLE dbo.T3 ADD CONSTRAINT PK_T3 PRIMARY KEY (c1);   ALTER TABLE dbo.T4 ADD CONSTRAINT PK_T4 PRIMARY KEY (c1); We also need an INSERT statement that references the view. Even more specifically, to see a Switch operator, we need to perform a single-row insert (multi-row inserts use a different plan shape): INSERT dbo.V1 (c1) VALUES (1); And now…the execution plan: The Constant Scan manufactures a single row with no columns. The Compute Scalar works out which partition of the view the new value should go in. The Assert checks that the computed partition number is not null (if it is, an error is returned). The Nested Loops Join executes exactly once, with the partition id as an outer reference (correlated parameter). The Switch operator checks the value of the parameter and executes the corresponding input only. If the partition id is 0, the uppermost Clustered Index Insert is executed, adding a row to table T1. If the partition id is 1, the next lower Clustered Index Insert is executed, adding a row to table T2…and so on. In case you were wondering, here’s a query and execution plan for a multi-row insert to the view: INSERT dbo.V1 (c1) VALUES (1), (2); Yuck! An Eager Table Spool and four Filters! I prefer the Switch plan. My guess is that almost all the old strategies that used a Switch operator have been replaced over time, using things like a regular Concatenation Union All combined with Start-Up Filters on its inputs. Other new (relative to the Switch operator) features like table partitioning have specific execution plan support that doesn’t need the Switch operator either. This feels like a bit of a shame, but perhaps it is just nostalgia on my part, it’s hard to know. Please do let me know if you encounter a query that can still use the Switch operator in 2012 – it must be very bored if this is the only possible modern usage! 2. Invisible Plan Operators The second part of this post uses an example based on a question Dave Ballantyne asked using the SQL Sentry Plan Explorer plan upload facility. If you haven’t tried that yet, make sure you’re on the latest version of the (free) Plan Explorer software, and then click the Post to SQLPerformance.com button. That will create a site question with the query plan attached (which can be anonymized if the plan contains sensitive information). Aaron Bertrand and I keep a close eye on questions there, so if you have ever wanted to ask a query plan question of either of us, that’s a good way to do it. The problem The issue I want to talk about revolves around a query issued against a calendar table. The script below creates a simplified version and adds 100 years of per-day information to it: USE tempdb; GO CREATE TABLE dbo.Calendar ( dt date NOT NULL, isWeekday bit NOT NULL, theYear smallint NOT NULL,   CONSTRAINT PK__dbo_Calendar_dt PRIMARY KEY CLUSTERED (dt) ); GO -- Monday is the first day of the week for me SET DATEFIRST 1;   -- Add 100 years of data INSERT dbo.Calendar WITH (TABLOCKX) (dt, isWeekday, theYear) SELECT CA.dt, isWeekday = CASE WHEN DATEPART(WEEKDAY, CA.dt) IN (6, 7) THEN 0 ELSE 1 END, theYear = YEAR(CA.dt) FROM Sandpit.dbo.Numbers AS N CROSS APPLY ( VALUES (DATEADD(DAY, N.n - 1, CONVERT(date, '01 Jan 2000', 113))) ) AS CA (dt) WHERE N.n BETWEEN 1 AND 36525; The following query counts the number of weekend days in 2013: SELECT Days = COUNT_BIG(*) FROM dbo.Calendar AS C WHERE theYear = 2013 AND isWeekday = 0; It returns the correct result (104) using the following execution plan: The query optimizer has managed to estimate the number of rows returned from the table exactly, based purely on the default statistics created separately on the two columns referenced in the query’s WHERE clause. (Well, almost exactly, the unrounded estimate is 104.289 rows.) There is already an invisible operator in this query plan – a Filter operator used to apply the WHERE clause predicates. We can see it by re-running the query with the enormously useful (but undocumented) trace flag 9130 enabled: Now we can see the full picture. The whole table is scanned, returning all 36,525 rows, before the Filter narrows that down to just the 104 we want. Without the trace flag, the Filter is incorporated in the Clustered Index Scan as a residual predicate. It is a little bit more efficient than using a separate operator, but residual predicates are still something you will want to avoid where possible. The estimates are still spot on though: Anyway, looking to improve the performance of this query, Dave added the following filtered index to the Calendar table: CREATE NONCLUSTERED INDEX Weekends ON dbo.Calendar(theYear) WHERE isWeekday = 0; The original query now produces a much more efficient plan: Unfortunately, the estimated number of rows produced by the seek is now wrong (365 instead of 104): What’s going on? The estimate was spot on before we added the index! Explanation You might want to grab a coffee for this bit. Using another trace flag or two (8606 and 8612) we can see that the cardinality estimates were exactly right initially: The highlighted information shows the initial cardinality estimates for the base table (36,525 rows), the result of applying the two relational selects in our WHERE clause (104 rows), and after performing the COUNT_BIG(*) group by aggregate (1 row). All of these are correct, but that was before cost-based optimization got involved :) Cost-based optimization When cost-based optimization starts up, the logical tree above is copied into a structure (the ‘memo’) that has one group per logical operation (roughly speaking). The logical read of the base table (LogOp_Get) ends up in group 7; the two predicates (LogOp_Select) end up in group 8 (with the details of the selections in subgroups 0-6). These two groups still have the correct cardinalities as trace flag 8608 output (initial memo contents) shows: During cost-based optimization, a rule called SelToIdxStrategy runs on group 8. It’s job is to match logical selections to indexable expressions (SARGs). It successfully matches the selections (theYear = 2013, is Weekday = 0) to the filtered index, and writes a new alternative into the memo structure. The new alternative is entered into group 8 as option 1 (option 0 was the original LogOp_Select): The new alternative is to do nothing (PhyOp_NOP = no operation), but to instead follow the new logical instructions listed below the NOP. The LogOp_GetIdx (full read of an index) goes into group 21, and the LogOp_SelectIdx (selection on an index) is placed in group 22, operating on the result of group 21. The definition of the comparison ‘the Year = 2013’ (ScaOp_Comp downwards) was already present in the memo starting at group 2, so no new memo groups are created for that. New Cardinality Estimates The new memo groups require two new cardinality estimates to be derived. First, LogOp_Idx (full read of the index) gets a predicted cardinality of 10,436. This number comes from the filtered index statistics: DBCC SHOW_STATISTICS (Calendar, Weekends) WITH STAT_HEADER; The second new cardinality derivation is for the LogOp_SelectIdx applying the predicate (theYear = 2013). To get a number for this, the cardinality estimator uses statistics for the column ‘theYear’, producing an estimate of 365 rows (there are 365 days in 2013!): DBCC SHOW_STATISTICS (Calendar, theYear) WITH HISTOGRAM; This is where the mistake happens. Cardinality estimation should have used the filtered index statistics here, to get an estimate of 104 rows: DBCC SHOW_STATISTICS (Calendar, Weekends) WITH HISTOGRAM; Unfortunately, the logic has lost sight of the link between the read of the filtered index (LogOp_GetIdx) in group 22, and the selection on that index (LogOp_SelectIdx) that it is deriving a cardinality estimate for, in group 21. The correct cardinality estimate (104 rows) is still present in the memo, attached to group 8, but that group now has a PhyOp_NOP implementation. Skipping over the rest of cost-based optimization (in a belated attempt at brevity) we can see the optimizer’s final output using trace flag 8607: This output shows the (incorrect, but understandable) 365 row estimate for the index range operation, and the correct 104 estimate still attached to its PhyOp_NOP. This tree still has to go through a few post-optimizer rewrites and ‘copy out’ from the memo structure into a tree suitable for the execution engine. One step in this process removes PhyOp_NOP, discarding its 104-row cardinality estimate as it does so. To finish this section on a more positive note, consider what happens if we add an OVER clause to the query aggregate. This isn’t intended to be a ‘fix’ of any sort, I just want to show you that the 104 estimate can survive and be used if later cardinality estimation needs it: SELECT Days = COUNT_BIG(*) OVER () FROM dbo.Calendar AS C WHERE theYear = 2013 AND isWeekday = 0; The estimated execution plan is: Note the 365 estimate at the Index Seek, but the 104 lives again at the Segment! We can imagine the lost predicate ‘isWeekday = 0’ as sitting between the seek and the segment in an invisible Filter operator that drops the estimate from 365 to 104. Even though the NOP group is removed after optimization (so we don’t see it in the execution plan) bear in mind that all cost-based choices were made with the 104-row memo group present, so although things look a bit odd, it shouldn’t affect the optimizer’s plan selection. I should also mention that we can work around the estimation issue by including the index’s filtering columns in the index key: CREATE NONCLUSTERED INDEX Weekends ON dbo.Calendar(theYear, isWeekday) WHERE isWeekday = 0 WITH (DROP_EXISTING = ON); There are some downsides to doing this, including that changes to the isWeekday column may now require Halloween Protection, but that is unlikely to be a big problem for a static calendar table ;)  With the updated index in place, the original query produces an execution plan with the correct cardinality estimation showing at the Index Seek: That’s all for today, remember to let me know about any Switch plans you come across on a modern instance of SQL Server! Finally, here are some other posts of mine that cover other plan operators: Segment and Sequence Project Common Subexpression Spools Why Plan Operators Run Backwards Row Goals and the Top Operator Hash Match Flow Distinct Top N Sort Index Spools and Page Splits Singleton and Range Seeks Bitmaps Hash Join Performance Compute Scalar © 2013 Paul White – All Rights Reserved Twitter: @SQL_Kiwi

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  • Emulate "Go to Dekstop/Home/etc." behavior in OS X via AppleScript

    - by pattulus
    OS X has build in support for going to certain Folders (Home, Utilities, Desktop, etc.) via a Shortcut. I wanted to emulate this behavior for the the Downloads Folder. The only thing that is missing the script below is that it won’t succeed when no window is opened in the Finder (see Error message). tell application "Finder" activate set target of Finder window 1 to folder "Downloads" of folder "username" of disk "Macintosh HD" end tell Error message: error "Finder got an error: Can’t set Finder window 1 to folder \"Downloads\" of folder \"username\" of disk \"Macintosh HD\"." number -10006 from Finder window 1 It great if you know about some kind of 'if-compliement' that triggers opening the Downloads Folder in case there is no window 1 open in the Finder. Thanks in advance.

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  • Minty Bug: Build an FM Bug Inside a Mint Container

    - by ETC
    Electronics projects that have real world (and showing off to your friends) potential are the most fun; today we take a look at a clever FM bug design hidden in a mint container. At PyroElectro Projects they wanted to try something new with the whole electronics-in-mint-container genre. They opted to turn a container of Ice Breakers Frost mints (the Ice Breakers response to Altoid Mints, presumably) into a small FM bug. The most clever part of the design is that the container still holds mints. Aside from a small black dot on the back of the case you’d have little reason to believe it was anything buy a box of mints. Check out the video below to see the mint container unpacked and the hidden electronics payload revealed: If you’re interested in the project hit up the link below for additional information. FM Bug Transmitter Mint Box [Pyro Electro Projects via Hack A Day] Latest Features How-To Geek ETC How to Get Amazing Color from Photos in Photoshop, GIMP, and Paint.NET Learn To Adjust Contrast Like a Pro in Photoshop, GIMP, and Paint.NET Have You Ever Wondered How Your Operating System Got Its Name? Should You Delete Windows 7 Service Pack Backup Files to Save Space? What Can Super Mario Teach Us About Graphics Technology? Windows 7 Service Pack 1 is Released: But Should You Install It? Get the MakeUseOf eBook Guide to Hacker Proofing Your PC Sync Your Windows Computer with Your Ubuntu One Account [Desktop Client] Awesome 10 Meter Curved Touchscreen at the University of Groningen [Video] TV Antenna Helper Makes HDTV Antenna Calibration a Snap Turn a Green Laser into a Microscope Projector [Science] The Open Road Awaits [Wallpaper]

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  • LLBLGen Pro and JSON serialization

    - by FransBouma
    I accidentally removed a reply from my previous blogpost, and as this blog-engine here at weblogs.asp.net is apparently falling apart, I can't re-add it as it thought it would be wise to disable comment controls on all posts, except new ones. So I'll post the reply here as a quote and reply on it. 'Steven' asks: What would the future be for LLBLGen Pro to support JSON for serialization? Would it be worth the effort for a LLBLGenPro user to bother creating some code templates to produce additional JSON serializable classes? Or just create some basic POCO classes which could be used for exchange of client/server data and use DTO to map these back to LLBGenPro ones? If I understand the work around, it is at the expense of losing xml serialization. Well, as described in the previous post, to enable JSON serialization, you can do that with a couple of lines and some attribute assignments. However, indeed, the attributes might make the XML serialization not working, as described in the previous blogpost. This is the case if the service you're using serializes objects using the DataContract serializer: this serializer will give up to serialize the entity objects to XML as the entity objects implement IXmlSerializable and this is a no-go area for the DataContract serializer. However, if your service doesn't use a DataContract serializer, or you serialize the objects manually to Xml using an xml serializer, you're fine. When you want to switch to Xml serializing again, instead of JSON in WebApi, and you have decorated the entity classes with the data-contract attributes, you can switch off the DataContract serializer, by setting a global configuration setting: var xml = GlobalConfiguration.Configuration.Formatters.XmlFormatter; xml.UseXmlSerializer = true; This will make the WebApi use the XmlSerializer, and run the normal IXmlSerializable interface implementation.

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  • Running a reverse proxy in front of Splunk 4.x

    - by sgerrand
    So, I have previously installed Splunk 3.x behind a reverse proxy and downloaded the latest version (4.0.6 at time of typing) expecting it to be as easy to use as before. Sadly this was not the case. There appears to be some elements which are not being translated correctly through the reverse proxy, causing Splunk to fail. I have used the following configuration in Apache2 to no avail: ServerName monitoringbox.com DocumentRoot /path/to/nowhere ProxyRequests off ProxyPass /splunk http://127.0.0.1:8000/splunk ProxyPassReverse /splunk http://127.0.0.1:8000/splunk Order allow,deny Allow from all Has anyone else had more luck than me in setting up Splunk 4.x behind a reverse proxy?

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  • License Requirements for Including Dual-Licensed Open-Source Software

    - by Rick Roth
    How do you opt into one software license and not the other when the distributor gives the consumer more than one choice? For example I would like to use the DataTables JavaScript library in my web application. According to their web site, "DataTables is dual licensed under the GPL v2 license or a BSD (3-point) license." Furthermore, the source code of the JavaScript library has this text that calls out both licenses: /** * @summary DataTables * @description Paginate, search and sort HTML tables * @version 1.9.4 * @file jquery.dataTables.js * @author Allan Jardine (www.sprymedia.co.uk) * @contact www.sprymedia.co.uk/contact * * @copyright Copyright 2008-2012 Allan Jardine, all rights reserved. * * This source file is free software, under either the GPL v2 license or a * BSD style license, available at: * http://datatables.net/license_gpl2 * http://datatables.net/license_bsd * * This source file is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY * or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details. * * For details please refer to: http://www.datatables.net */ Finally, the web pages with the licensing text (e.g. the DataTables BSD license page) has this statement: "DataTables is made available under both the GPL v2 license and a BSD (3-point) style license. You can select which one you wish to use the DataTables code under." My specific question is "how do you select which one you want to use." In my case, I want to only use the BSD license and I want to make it explicitly clear that I do not opt into the GPL v2 license in any way. How do you do that and have it hold up to legal challenge?

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  • Formating Columns in Excel created by af:exportCollectionActionListener

    - by Duncan Mills
    The af:exportCollectionActionListener behavior in ADF Faces Rich client provides a very simple way of quickly dumping out the contents or selected rows in a table or treeTable to Excel. However, that simplicity comes at a price as it pretty much left up to Excel how to format the data. A common use case where you have a problem is that of ID columns which are often long numerics. You probably want to represent this data as a string, Excel however will probably have other ideas and render it as an exponent  - not what you intended. In earlier releases of the framework you could sort of work around this by taking advantage of a bug which would allow you to surround the outputText in question with invisible outputText components which provided formatting hints to Excel. Something like this: <af:column headertext="Some wide label">  <af:panelgrouplayout layout="horizontal">     <af:outputtext value="=TEXT(" visible="false">     <af:outputtext value="#{row.bigNumberValue}" rendered="true"/>    <af:outputtext value=",0)" visible="false">   </af:panelgrouplayout> </af:column> However, this bug was fixed and so it can no longer be used as a trick, the export now ignores invisible columns. So, if you really need control over the formatting there are several alternatives: First the more powerful ADF Desktop Integration (ADFdi) package which allows you to build fully transactional spreadsheets that "pull" the data and can update it. This gives you all the control that might need on formatting but it does need specific Excel Add-ins on the client to work. For more information about ADFdi have a look at this tutorial on OTN. Or you can of course look at BI Publisher or Apache POI if you're happy with output only spreadsheets

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  • Pagination, Duplicate Content, and SEO

    - by Iamtotallylost
    Please consider a list of items (forum comments, articles, shoes, doesn't matter) which are spread over multiple pages. Different sort orders are supported (by date, by popularity, by price, etc). So, an URL might look like this (I use the query style here to simplify things): /items?id=1234&page=42&sort=popularity /items?id=1234&page=5&sort=date Now, in terms of SEO, I think I should be worried about duplicate content. After all, each item appears at least as many times as there are sort orders. I've seen Matt Cutts talking about the rel=canonical link tag, but he also said that the canonical page should have very similar content. But this is not the case here because page #1 in a non-canonical sort order might have completely different items than page #1 in the canonical sort order. For a given non-canonical page, there is no clear canonical page listing all the same items, so I think rel=canonical won't help here. Then I thought about using the noindex meta tag on all pages with non-canonical sort order, and not using it on all pages with canonical sort order. However, if I use that method, what will happen with backlinks that are going to non-canonical pages -- will they still spread their page rank juice, even though the first page googlebot (or any other crawler) is going to encounter is marked as "noindex"? Can you please comment on my problem and what you think is the best solution? If you think you have a better solution, please consider that 1) I do not want to use Javascript for this, 2) I do not want all the items to be on one page. Thank you.

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  • Manipulating Human Tasks (for testing) by Mark Nelson

    - by JuergenKress
    A few months ago, while working on a BPM migration, I had the need to look at the status of human tasks, and to manipulate them – essentially to just have a single user take random actions on them at some interval, to help drive a set of processes that were being tested. To do this, I wrote a little utility called httool.  It reuses some of the core domain classes from my custom worklist sample (with minimal changes to make it a remote client instead of a local one). I have not got around to documenting it yet, but it is pretty simple and fairly self explanatory.  So I thought I would go ahead and share it with folks, in case anyone is interested in playing with it. You can get the code from my ci-samples repository on java.net: git clone git://java.net/ci4fmw~ci-samples It is in the httool directory. I do plan to get back to this “one day” and enhance it to be more intelligent – target particular task types, update the payload, follow a set of “rules” about what action to take – so that I can use it for more driving more interesting test scenarios.  If anyone is feeling generous with their time, and interested, please feel free to join the java.net project and hack away to your heart’s content. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Technorati Tags: Mark Nelson,Human Task,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Log Location Url Responses of 301 redirects from IIS

    - by James Lawruk
    Is there a way to log 301 redirects returned by IIS with the (1) request Url and the (2) location Url of the response? Something like this: Url, Location /about-us, /about /old-page, /new-page The IIS logs contain the Request Url and the status code (301), but not the location Url of the response. Ideally there would be an additional field in the IIS Log called Location that would be populated when IIS responded with a 301. In my case the source of the redirect could be ISAPI Rewrite Rules, ASP.NET applications, Cold Fusion applications, or IIS itself. Perhaps there is a way to log IIS response data? Thanks for your help.

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