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  • How can I keep the the logic to translate a ViewModel's values to a Where clause to apply to a linq query out of My Controller?

    - by Mr. Manager
    This same problem keeps cropping up. I have a viewModel that doesn't have any persistent backing. It is just a ViewModel to generate a search input form. I want to build a large where clause from the values the user entered. If the Action Accepts as a parameter SearchViewModel How do I do this without passing my viewModel to my service layer? Service shouldn't know about ViewModels right? Oh and if I serialize it, then it would be a big string and the key/values would be strongly typed. SearchViewModel this is just a snippet. [Display(Name="Address")] public string AddressKeywords { get; set; } /// <summary> /// Gets or sets the census. /// </summary> public string Census { get; set; } /// <summary> /// Gets or sets the lot block sub. /// </summary> public string LotBlockSub { get; set; } /// <summary> /// Gets or sets the owner keywords. /// </summary> [Display(Name="Owner")] public string OwnerKeywords { get; set; } In my controller action I was thinking of something like this. but I would think all this logic doesn't belong in my Controller. ActionResult GetSearchResults(SearchViewModel model){ var query = service.GetAllParcels(); if(model.Census != null){ query = query.Where(x=>x.Census == model.Census); } if (model.OwnerKeywords != null){ query = query.Where(x=>x.Owners == model.OwnerKeywords); } return View(query.ToList()); }

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  • Dynamically change MYSQL query within a PHP file using jQuery .post?

    - by John
    Hi, Been trying this for quite a while now and I need help. Basically I have a PHP file that queries database and I want to change the query based on a logged in users name. What happens on my site is that a user logs on with Twitter Oauth and I can display their details (twitter username etc.). I have a database which the user has added information to and I what I would like to happen is when the user logs in with Twitter Oauth, I could use jQuery to take the users username and update the mysql query to show only the results where the user_name = that particular users name. At the moment the mysql query is: "SELECT * FROM markers WHERE user_name = 'dave'" I've tried something like: "SELECT * FROM markers WHERE user_name = '$user_name'" And elsewhere in the PHP file I have $user_name = $_POST['user_name'];. In a separate file (the one in which the user is redirected to after they log in through Twitter) I have some jQuery like this: $(document).ready(function(){ $.post('phpsqlinfo_resultb.php',{user_name:"<?PHP echo $profile_name?>"})}); $profile_name has been defined earlier on that page. I know i'm clearly doing something wrong, i'm still learning. Is there a way to achieve what I want using jQuery to post the users username to the PHP file to change the mysql query to display only the results related to the user that is logged in. I've included the PHP file with the query below: <?php // create a new XML document //$doc = domxml_new_doc('1.0'); $doc = new DomDocument('1.0'); //$root = $doc->create_element('markers'); //$root = $doc->append_child($root); $root = $doc->createElement('markers'); $root = $doc->appendChild($root); $table_id = 'marker'; $user_name = $_POST['user_name']; // Make a MySQL Connection include("phpsqlinfo_addrow.php"); $result = mysql_query("SELECT * FROM markers WHERE user_name = '$user_name'") or die(mysql_error()); // process one row at a time //header("Content-type: text/xml"); header('Content-type: text/xml; charset=utf-8'); while($row = mysql_fetch_assoc($result)) { // add node for each row $occ = $doc->createElement($table_id); $occ = $root->appendChild($occ); $occ->setAttribute('lat', $row['lat']); $occ->setAttribute('lng', $row['lng']); $occ->setAttribute('type', $row['type']); $occ->setAttribute('user_name', utf8_encode($row['user_name'])); $occ->setAttribute('name', utf8_encode($row['name'])); $occ->setAttribute('tweet', utf8_encode($row['tweet'])); $occ->setAttribute('image', utf8_encode($row['image'])); } // while $xml_string = $doc->saveXML(); $user_name2->response; echo $xml_string; ?> This is for use with a google map mashup im trying to do. Many thanks if you can help me. If my question isn't clear enough, please say and i'll try to clarify for you. I'm sure this is a simple fix, i'm just relatively inexperienced to do it. Been at this for two days and i'm running out of time unfortunately.

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  • lapply slower than for-loop when used for a BiomaRt query. Is that expected?

    - by ptocquin
    I would like to query a database using BiomaRt package. I have loci and want to retrieve some related information, let say description. I first try to use lapply but was surprise by the time needed for the task to be performed. I thus tried a more basic for-loop and get a faster result. Is that expected or is something wrong with my code or with my understanding of apply ? I read other posts dealing with *apply vs for-loop performance (Here, for example) and I was aware that improved performance should not be expected but I don't understand why performance here is actually lower. Here is a reproducible example. 1) Loading the library and selecting the database : library("biomaRt") athaliana <- useMart("plants_mart_14") athaliana <- useDataset("athaliana_eg_gene",mart=athaliana) 2) Querying the database : loci <- c("at1g01300", "at1g01800", "at1g01900", "at1g02335", "at1g02790", "at1g03220", "at1g03230", "at1g04040", "at1g04110", "at1g05240" ) I create a function for the use in lapply : foo <- function(loci) { getBM("description","tair_locus",loci,athaliana) } When I use this function on the first element : > system.time(foo(cwp_loci[1])) utilisateur système écoulé 0.020 0.004 1.599 When I use lapply to retrieve the data for all values : > system.time(lapply(loci, foo)) utilisateur système écoulé 0.220 0.000 16.376 I then created a new function, adding a for-loop : foo2 <- function(loci) { for (i in loci) { getBM("description","tair_locus",loci[i],athaliana) } } Here is the result : > system.time(foo2(loci)) utilisateur système écoulé 0.204 0.004 10.919 Of course, this will be applied to a big list of loci, so the best performing option is needed. I thank you for assistance. EDIT Following recommendation of @MartinMorgan Simply passing the vector loci to getBM greatly improves the query efficiency. Simpler is better. > system.time(lapply(loci, foo)) utilisateur système écoulé 0.236 0.024 110.512 > system.time(foo2(loci)) utilisateur système écoulé 0.208 0.040 116.099 > system.time(foo(loci)) utilisateur système écoulé 0.028 0.000 6.193

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  • How to figure out how much RAM each prefork thread requires for maximum Wordpress performance on an EC2 small instance

    - by two7s_clash
    Just read Making WordPress Stable on EC2-Micro In the "Tuning Apache" section, I can't quite figure out how he comes up with his numbers for his prefork config. He explains how to get the numbers for an average process, which I get. But then: Or roughly 53MB per process...In this case, ten threads should be safe. This means that if we receive more than ten simultaneous requests, the other requests will be queued until a worker thread is available. In order to maximize performance, we will also configure the system to have this number of threads available all of the time. From 53MB per process, with 613MB of RAM, he somehow gets this config, which I don't get: <IfModule prefork.c> StartServers 10 MinSpareServers 10 MaxSpareServers 10 MaxClients 10 MaxRequestsPerChild 4000 </IfModule> How exactly does he get this from 53MB per process, with 613MB limit? Bonus question From the below, on a small instance (1.7 GB memory), what would good settings be? bitnami@ip-10-203-39-166:~$ ps xav |grep httpd 1411 ? Ss 0:00 2 0 114928 15436 0.8 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1415 ? S 0:06 10 0 125860 55900 3.1 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1426 ? S 0:08 19 0 127000 62996 3.5 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1446 ? S 0:05 48 0 131932 72792 4.1 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1513 ? S 0:05 7 0 125672 54840 3.1 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1516 ? S 0:02 2 0 125228 48680 2.7 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1517 ? S 0:06 2 0 127004 55796 3.1 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1518 ? S 0:03 1 0 127196 54208 3.0 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf 1531 ? R 0:04 0 0 127500 54236 3.0 /opt/bitnami/apache2/bin/httpd -f /opt/bitnami/apache2/conf/httpd.conf

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  • Increasing SQL Server / Sage performance with SSD? (Dell PE T410)

    - by Anthony
    I have a client wanting better performance of their Sage (Accpac & CRM) server (v5.5, soon to be v7). It's running on 1 of 2 Hyper-V VMs (Svr2008) on a Dell PE T410 server with 24GB of RAM (1333MHz) & dual quad-core, and both VMs (only their C: drives) are on a single RAID5 array. All clients connect via 1Gb ethernet. The 2nd VM is SBS2008 with 9GB RAM (& all SBS dbs & company data are on a separate RAID5 array), & 3GB RAM for the Svr2008 hypervisor. I've given the Sage/SQL Server VM all the RAM I can (12GB) & SQL Server RAM caching (~8GB, never exceeds ~7.5GB, eg. entire db can now be cached in RAM) and that's helped significantly. Upgrading the Hypervisor to Svr2012 is an obvious step, but probably not a dramatic improvement? What about an SSD for this Sage/SQL Server VM (VM = 100GB, <10GB for the actual live DB) ? Can SSDs be put into the SAS hot-swap bays? Or will I have to use the mobo SATA(3Gbps?) ports, or PCI-E SSD card? Should SSDs be RAIDed for this situation? Or is SSD's higher reliability offsetting the need for RAID1/5/10? (I have nightly full disk backups) New territory for me, would appreciate some feedback. Thanks, Anthony.

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  • Increasing MSSQL/Sage performance with SSD? (Dell PE T410)

    - by Anthony
    I have a client wanting better performance of their Sage (Accpac & CRM) server (v5.5, soon to be v7). It's running on 1 of 2 Hyper-V VMs (Svr2008) on a Dell PE T410 server with 24GB of RAM (1333MHz) & dual quad-core, and both VMs (only their C: drives) are on a single RAID5 array. All clients connect via 1Gb ethernet. The 2nd VM is SBS2008 with 9GB RAM (& all SBS dbs & company data are on a separate RAID5 array), & 3GB RAM for the Svr2008 hypervisor. I've given the Sage/MSSQL VM all the RAM I can (12GB) & SQL RAM caching (~8GB, never exceeds ~7.5GB, eg. entire db can now be cached in RAM) and that's helped significantly. Upgrading the Hypervisor to Svr2012 is an obvious step, but probably not a dramatic improvement? What about an SSD for this Sage/SQL VM (VM = 100GB, <10GB for the actual live DB) ? Can SSDs be put into the SAS hot-swap bays? Or will I have to use the mobo SATA(3Gbps?) ports, or PCI-E SSD card? Should SSDs be RAIDed for this situation? Or is SSD's higher reliability offsetting the need for RAID1/5/10? (I have nightly full disk backups) New territory for me, would appreciate some feedback. Thanks, Anthony.

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  • (Oracle Performance) Will a query based on a view limit the view using the where clause?

    - by BestPractices
    In Oracle (10g), when I use a View (not Materialized View), does Oracle take into account the where clause when it executes the view? Let's say I have: MY_VIEW = SELECT * FROM PERSON P, ORDERS O WHERE P.P_ID = O.P_ID And I then execute the following: SELECT * FROM MY_VIEW WHERE MY_VIEW.P_ID = '1234' When this executes, does oracle first execute the query for the view and THEN filter it based on my where clause (where MY_VIEW.P_ID = '1234') or does it do this filtering as part of the execution of the view? If it does not do the latter, and P_ID had an index, would I also lose out on the indexing capability since Oracle would be executing my query against the view which doesn't have the index rather than the base table which has the index?

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  • Will adding a SSD cache device to my ZFS storage improve performance?

    - by Sysadminicus
    The server has 4GB of RAM and my zpool is made up of 15.5k SAS drives arranged like this: NAME STATE READ WRITE CKSUM tank ONLINE 0 0 0 raidz1-0 ONLINE 0 0 0 c0t2d0 ONLINE 0 0 0 c0t3d0 ONLINE 0 0 0 c0t4d0 ONLINE 0 0 0 c0t5d0 ONLINE 0 0 0 c0t6d0 ONLINE 0 0 0 c0t7d0 ONLINE 0 0 0 c0t8d0 ONLINE 0 0 0 raidz1-1 ONLINE 0 0 0 c0t10d0 ONLINE 0 0 0 c0t11d0 ONLINE 0 0 0 c0t12d0 ONLINE 0 0 0 c0t13d0 ONLINE 0 0 0 c0t14d0 ONLINE 0 0 0 spares c0t9d0 AVAIL c0t1d0 AVAIL The primary use is as an NFS store for a couple VMWare ESXi servers. I can't do any "true" benchmarks because this is a production system (no budget for test systems), but using dd and bonnie++ I can't get more than ~40-50MB/s writes and ~70-90MB/s reads. It seems I should be able to do much better, but I'm not sure where to optimize. Based on what I've read, I think dropping in a OCZ Vertex 2 Pro SSD as my L2ARC is going to be the best bang-for-the-buck to improve througput. Is there something else I should be looking into to help performance? If not... How do I know how big a cache device I need? Am I safe with only a single SSD as my cache device?

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  • Better performance to Query the DB or Cache small result sets?

    - by user169867
    Say I need to populate 4 or 5 dropdowns w/ items from a database. Each drop down will have < 15 items in it. These items almost never change. Now I could query the DB each time the page is accessed or I could grab the values from a custom class that would check to see if they already exist in ASP.Net's cache and only if they don't query the DB to update the cache. It's trivial for me to write but I'm unsure if the performace would be better or not. I think it would be (although not likely anything huge). What do you think?

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  • From a performance standpoint, is there a preferred way to set up Thunderbird message filters?

    - by Steve V.
    When I used Kontact, I used filters heavily to sort my incoming email into various folders. Since switching to Thunderbird, I've been slowly recreating these filters as new mail arrives. This seems like the perfect time to rethink how I use message filters. The way I see it, there are two basic ways to filter messages. Either I can have lots of filters, or I can have lots of criteria. An example is in order. Assume that I get emails from four people (Boss, CEO, Intern, and StackOverflow) that I want to sort into two folders, "Stack" and "Work" Option A: Filter 1: if FROM contains "Boss" -> move to "Work" Filter 2: if FROM contains "CEO" -> move to "Work" Filter 3: if FROM contains "Intern" -> move to "Work" Filter 4: if FROM contains "StackOverflow" -> move to "Stack" Option B: Filter 1: if FROM contains "Boss" OR FROM contains "CEO" OR FROM contains "Intern" -> move to "Work" Filter 2: if FROM contains "StackOverflow" -> move to "Stack" Assuming that when I'm done, I'll have about a hundred different criteria to filter on, is one of these methods better than the other from a performance standpoint?

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  • How to query range of data in DB2 with highest performance?

    - by Fuangwith S.
    Usually, I need to retrieve data from a table in some range; for example, a separate page for each search result. In MySQL I use LIMIT keyword but in DB2 I don't know. Now I use this query for retrieve range of data. SELECT * FROM( SELECT SMALLINT(RANK() OVER(ORDER BY NAME DESC)) AS RUNNING_NO , DATA_KEY_VALUE , SHOW_PRIORITY FROM EMPLOYEE WHERE NAME LIKE 'DEL%' ORDER BY NAME DESC FETCH FIRST 20 ROWS ONLY ) AS TMP ORDER BY TMP.RUNNING_NO ASC FETCH FIRST 10 ROWS ONLY but I know it's bad style. So, how to query for highest performance?

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  • Does a high run queue length average result in poor performance for a web server?

    - by Domino
    I'm trying to narrow down the list of suspects of web servers that perform moderately well most of the time with occasional bouts of poor performance. I'm analyzing the data collected and summarized by sar. I've noticed a few things, one of which is high number of tasks in the run queue. 10:15:01 AM runq-sz plist-sz ldavg-1 ldavg-5 ldavg-15 blocked 10:25:01 AM 2 150 0.05 0.05 0.06 0 10:35:01 AM 4 149 0.08 0.12 0.09 0 10:45:01 AM 6 150 0.13 0.19 0.15 0 10:55:01 AM 1 150 0.08 0.10 0.13 0 11:05:01 AM 4 150 0.20 0.35 0.23 0 11:15:01 AM 3 149 0.02 0.09 0.15 0 11:25:01 AM 7 149 0.04 0.05 0.11 0 11:35:01 AM 4 150 0.14 0.15 0.13 0 11:45:01 AM 6 150 0.27 0.18 0.16 0 11:55:01 AM 5 150 0.08 0.10 0.13 0 12:05:01 PM 3 149 0.35 0.40 0.26 0 12:15:01 PM 19 155 0.02 0.10 0.16 1 12:25:01 PM 2 150 0.00 0.07 0.12 0 12:35:02 PM 3 151 0.58 0.24 0.17 0 12:45:01 PM 8 150 0.02 0.13 0.15 0 12:55:01 PM 6 149 0.81 0.29 0.18 0 01:05:01 PM 3 148 0.00 0.09 0.13 0 01:15:01 PM 7 149 0.00 0.04 0.11 0 I believe these are 10 minute averages. Is this an indicator that the web server is not performing as fast as it could if the average run queue length was lower?

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  • Performance-optimizing Oracle 10g on a server that is also a Tomcat JSP app server?

    - by PKHunter
    I have inherited a simple RedHat 5 - 64bit platform. It has SCSI disks on RAID1, with 16GB of RAM. Double Core CPU. Oracle 10g, Release 2. This would be a decent platform for running the DB only, perhaps, but the same server in an "A-A mode" clustering (very simple) also runs Tomcat and there are several Java servlets running on this. Sadly there is no caching platform etc. We only use an external CDN for some html caching. I am personally more familiar with web environments on the LAMPP platform (apache, php, mysql, postgresql). PROBLEM: Because the server has both Tomcat JSP/Java and Oracle 10g running on the same server, with no caching, I have some issues of the server going down. Often, sadly. QUESTION: What are my options in terms of improving performance of all these different apps? Connection Pooling? Example, in Postgresql world we have PgBouncer, which really helps things. Does Oracle have something similar? Or is there a famous Java-based external pooler that people use in production environments? (I'm not familiar with Java) Any "SQL cache" as in the MySQL and Postgresql world? Any other kind of application cache, as "APC" or "eAccelarator" in the PHP world? The "OSCache" stuff from the Java world (JSP thingie I found on Google: http://onjava.com/pub/a/onjava/2005/01/05/jspcache.html?page=2) ... What else? Sorry if this is a noob question. I have googled and googled, but problem is I don't know what to google for, other than the broad general concepts above. So if not full answers, I would even appreciate basic pointers and I am happy to JFGI myself. Thanks!

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  • How to improve network performance between two Win 2008 KMV guest having virtio driver already?

    - by taazaa
    I have two physical servers with Ubuntu 10.04 server on them. They are connected with a 1Gbps card over a gigabit switch. Each of these host servers has one Win 2008 guest VM. Both VMs are well provisioned (4 cores, 12GB RAM), RAW disks. My asp.net/sql server applications are running much slower compared to very similar physical setups. Both machines are setup to use virtio for disk and network. I used iperf to check network performance and I get: Physical host 1 ----- Physical Host 2: 957 Mbits/sec Physical host 1 ----- Win 08 Guest 1: 557 Mbits/sec Win 08 Guest 1 ----- Phy host 1: 182 Mbits/sec Win 08 Guest 1 ----- Win 08 Guest 2: 111 Mbits /sec My app is running on Win08 Guest 1 and Guest 2 (web and db). There is a huge drop in network throughput (almost 90%) between the two guest. Further the throughput does not seem to be symmetric between host and guest as well. The CPU utilization on the guests and hosts is less than 2% right now (we are just testing right now). Apart from this, there have been random slow downs in the network to as low as 1 Mbits/sec making the whole application unusable. Any help to trouble shoot this would be appreciated.

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  • Best Practices - which domain types should be used to run applications

    - by jsavit
    This post is one of a series of "best practices" notes for Oracle VM Server for SPARC (formerly named Logical Domains) One question that frequently comes up is "which types of domain should I use to run applications?" There used to be a simple answer in most cases: "only run applications in guest domains", but enhancements to T-series servers, Oracle VM Server for SPARC and the advent of SPARC SuperCluster have made this question more interesting and worth qualifying differently. This article reviews the relevant concepts and provides suggestions on where to deploy applications in a logical domains environment. Review: division of labor and types of domain Oracle VM Server for SPARC offloads many functions from the hypervisor to domains (also called virtual machines). This is a modern alternative to using a "thick" hypervisor that provides all virtualization functions, as in traditional VM designs, This permits a simpler hypervisor design, which enhances reliability, and security. It also reduces single points of failure by assigning responsibilities to multiple system components, which further improves reliability and security. In this architecture, management and I/O functionality are provided within domains. Oracle VM Server for SPARC does this by defining the following types of domain, each with their own roles: Control domain - management control point for the server, used to configure domains and manage resources. It is the first domain to boot on a power-up, is an I/O domain, and is usually a service domain as well. I/O domain - has been assigned physical I/O devices: a PCIe root complex, a PCI device, or a SR-IOV (single-root I/O Virtualization) function. It has native performance and functionality for the devices it owns, unmediated by any virtualization layer. Service domain - provides virtual network and disk devices to guest domains. Guest domain - a domain whose devices are all virtual rather than physical: virtual network and disk devices provided by one or more service domains. In common practice, this is where applications are run. Typical deployment A service domain is generally also an I/O domain: otherwise it wouldn't have access to physical device "backends" to offer to its clients. Similarly, an I/O domain is also typically a service domain in order to leverage the available PCI busses. Control domains must be I/O domains, because they boot up first on the server and require physical I/O. It's typical for the control domain to also be a service domain too so it doesn't "waste" the I/O resources it uses. A simple configuration consists of a control domain, which is also the one I/O and service domain, and some number of guest domains using virtual I/O. In production, customers typically use multiple domains with I/O and service roles to eliminate single points of failure: guest domains have virtual disk and virtual devices provisioned from more than one service domain, so failure of a service domain or I/O path or device doesn't result in an application outage. This is also used for "rolling upgrades" in which service domains are upgraded one at a time while their guests continue to operate without disruption. (It should be noted that resiliency to I/O device failures can also be provided by the single control domain, using multi-path I/O) In this type of deployment, control, I/O, and service domains are used for virtualization infrastructure, while applications run in guest domains. Changing application deployment patterns The above model has been widely and successfully used, but more configuration options are available now. Servers got bigger than the original T2000 class machines with 2 I/O busses, so there is more I/O capacity that can be used for applications. Increased T-series server capacity made it attractive to run more vertical applications, such as databases, with higher resource requirements than the "light" applications originally seen. This made it attractive to run applications in I/O domains so they could get bare-metal native I/O performance. This is leveraged by the SPARC SuperCluster engineered system, announced a year ago at Oracle OpenWorld. In SPARC SuperCluster, I/O domains are used for high performance applications, with native I/O performance for disk and network and optimized access to the Infiniband fabric. Another technical enhancement is the introduction of Direct I/O (DIO) and Single Root I/O Virtualization (SR-IOV), which make it possible to give domains direct connections and native I/O performance for selected I/O devices. A domain with either a DIO or SR-IOV device is an I/O domain. In summary: not all I/O domains own PCI complexes, and there are increasingly more I/O domains that are not service domains. They use their I/O connectivity for performance for their own applications. However, there are some limitations and considerations: at this time, a domain using physical I/O cannot be live-migrated to another server. There is also a need to plan for security and introducing unneeded dependencies: if an I/O domain is also a service domain providing virtual I/O go guests, it has the ability to affect the correct operation of its client guest domains. This is even more relevant for the control domain. where the ldm has to be protected from unauthorized (or even mistaken) use that would affect other domains. As a general rule, running applications in the service domain or the control domain should be avoided. To recap: Guest domains with virtual I/O still provide the greatest operational flexibility, including features like live migration. I/O domains can be used for applications with high performance requirements. This is used to great effect in SPARC SuperCluster and in general T4 deployments. Direct I/O (DIO) and Single Root I/O Virtualization (SR-IOV) make this more attractive by giving direct I/O access to more domains. Service domains should in general not be used for applications, because compromised security in the domain, or an outage, can affect other domains that depend on it. This concern can be mitigated by providing guests' their virtual I/O from more than one service domain, so an interruption of service in the service domain does not cause an application outage. The control domain should in general not be used to run applications, for the same reason. SPARC SuperCluster use the control domain for applications, but it is an exception: it's not a general purpose environment; it's an engineered system with specifically configured applications and optimization for optimal performance. These are recommended "best practices" based on conversations with a number of Oracle architects. Keep in mind that "one size does not fit all", so you should evaluate these practices in the context of your own requirements. Summary Higher capacity T-series servers have made it more attractive to use them for applications with high resource requirements. New deployment models permit native I/O performance for demanding applications by running them in I/O domains with direct access to their devices. This is leveraged in SPARC SuperCluster, and can be leveraged in T-series servers to provision high-performance applications running in domains. Carefully planned, this can be used to provide higher performance for critical applications.

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  • Best way to run multiple queries per second on database, performance wise?

    - by Michael Joell
    I am currently using Java to insert and update data multiple times per second. Never having used databases with Java, I am not sure what is required, and how to get the best performance. I currently have a method for each type of query I need to do (for example, update a row in a database). I also have a method to create the database connection. Below is my simplified code. public static void addOneForUserInChannel(String channel, String username) throws SQLException { Connection dbConnection = null; PreparedStatement ps = null; String updateSQL = "UPDATE " + channel + "_count SET messages = messages + 1 WHERE username = ?"; try { dbConnection = getDBConnection(); ps = dbConnection.prepareStatement(updateSQL); ps.setString(1, username); ps.executeUpdate(); } catch(SQLException e) { System.out.println(e.getMessage()); } finally { if(ps != null) { ps.close(); } if(dbConnection != null) { dbConnection.close(); } } } And my DB connection private static Connection getDBConnection() { Connection dbConnection = null; try { Class.forName(DB_DRIVER); } catch (ClassNotFoundException e) { System.out.println(e.getMessage()); } try { dbConnection = DriverManager.getConnection(DB_CONNECTION, DB_USER,DB_PASSWORD); return dbConnection; } catch (SQLException e) { System.out.println(e.getMessage()); } return dbConnection; } This seems to be working fine for now, with about 1-2 queries per second, but I am worried that once I expand and it is running many more, I might have some issues. My questions: Is there a way to have a persistent database connection throughout the entire run time of the process? If so, should I do this? Are there any other optimizations that I should do to help with performance? Thanks

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  • How to best design a date/geographic proximity query on GAE?

    - by Dane
    Hi all, I'm building a directory for finding athletic tournaments on GAE with web2py and a Flex front end. The user selects a location, a radius, and a maximum date from a set of choices. I have a basic version of this query implemented, but it's inefficient and slow. One way I know I can improve it is by condensing the many individual queries I'm using to assemble the objects into bulk queries. I just learned that was possible. But I'm also thinking about a more extensive redesign that utilizes memcache. The main problem is that I can't query the datastore by location because GAE won't allow multiple numerical comparison statements (<,<=,=,) in one query. I'm already using one for date, and I'd need TWO to check both latitude and longitude, so it's a no go. Currently, my algorithm looks like this: 1.) Query by date and select 2.) Use destination function from geopy's distance module to find the max and min latitude and longitudes for supplied distance 3.) Loop through results and remove all with lat/lng outside max/min 4.) Loop through again and use distance function to check exact distance, because step 2 will include some areas outside the radius. Remove results outside supplied distance (is this 2/3/4 combination inefficent?) 5.) Assemble many-to-many lists and attach to objects (this is where I need to switch to bulk operations) 6.) Return to client Here's my plan for using memcache.. let me know if I'm way out in left field on this as I have no prior experience with memcache or server caching in general. -Keep a list in the cache filled with "geo objects" that represent all my data. These have five properties: latitude, longitude, event_id, event_type (in anticipation of expanding beyond tournaments), and start_date. This list will be sorted by date. -Also keep a dict of pointers in the cache which represent the start and end indices in the cache for all the date ranges my app uses (next week, 2 weeks, month, 3 months, 6 months, year, 2 years). -Have a scheduled task that updates the pointers daily at 12am. -Add new inserts to the cache as well as the datastore; update pointers. Using this design, the algorithm would now look like: 1.) Use pointers to slice off appropriate chunk of list based on supplied date. 2-4.) Same as above algorithm, except with geo objects 5.) Use bulk operation to select full tournaments using remaining geo objects' event_ids 6.) Assemble many-to-manys 7.) Return to client Thoughts on this approach? Many thanks for reading and any advice you can give. -Dane

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  • ActiveRecord + CodeIgniter - Return single value from query, not in array form.

    - by txmail
    Say you construct an activerecord query that will always just return a single value, how do you just address that single value instead of getting an array in return? For instance I am using an ActiveRecord query to return the SUM of a single column, it will only return this one single SUM, instead of having to parse the array is there a way to assign the value as a function return equal to that value instead of getting an array?

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  • Why is Oracle using a skip scan for this query?

    - by Jason Baker
    Here's the tkprof output for a query that's running extremely slowly (WARNING: it's long :-) ): SELECT mbr_comment_idn, mbr_crt_dt, mbr_data_source, mbr_dol_bl_rmo_ind, mbr_dxcg_ctl_member, mbr_employment_start_dt, mbr_employment_term_dt, mbr_entity_active, mbr_ethnicity_idn, mbr_general_health_status_code, mbr_hand_dominant_code, mbr_hgt_feet, mbr_hgt_inches, mbr_highest_edu_level, mbr_insd_addr_idn, mbr_insd_alt_id, mbr_insd_name, mbr_insd_ssn_tin, mbr_is_smoker, mbr_is_vip, mbr_lmbr_first_name, mbr_lmbr_last_name, mbr_marital_status_cd, mbr_mbr_birth_dt, mbr_mbr_death_dt, mbr_mbr_expired, mbr_mbr_first_name, mbr_mbr_gender_cd, mbr_mbr_idn, mbr_mbr_ins_type, mbr_mbr_isreadonly, mbr_mbr_last_name, mbr_mbr_middle_name, mbr_mbr_name, mbr_mbr_status_idn, mbr_mpi_id, mbr_preferred_am_pm, mbr_preferred_time, mbr_prv_innetwork, mbr_rep_addr_idn, mbr_rep_name, mbr_rp_mbr_id, mbr_same_mbr_ins, mbr_special_needs_cd, mbr_timezone, mbr_upd_dt, mbr_user_idn, mbr_wgt, mbr_work_status_idn FROM (SELECT /*+ FIRST_ROWS(1) */ mbr_comment_idn, mbr_crt_dt, mbr_data_source, mbr_dol_bl_rmo_ind, mbr_dxcg_ctl_member, mbr_employment_start_dt, mbr_employment_term_dt, mbr_entity_active, mbr_ethnicity_idn, mbr_general_health_status_code, mbr_hand_dominant_code, mbr_hgt_feet, mbr_hgt_inches, mbr_highest_edu_level, mbr_insd_addr_idn, mbr_insd_alt_id, mbr_insd_name, mbr_insd_ssn_tin, mbr_is_smoker, mbr_is_vip, mbr_lmbr_first_name, mbr_lmbr_last_name, mbr_marital_status_cd, mbr_mbr_birth_dt, mbr_mbr_death_dt, mbr_mbr_expired, mbr_mbr_first_name, mbr_mbr_gender_cd, mbr_mbr_idn, mbr_mbr_ins_type, mbr_mbr_isreadonly, mbr_mbr_last_name, mbr_mbr_middle_name, mbr_mbr_name, mbr_mbr_status_idn, mbr_mpi_id, mbr_preferred_am_pm, mbr_preferred_time, mbr_prv_innetwork, mbr_rep_addr_idn, mbr_rep_name, mbr_rp_mbr_id, mbr_same_mbr_ins, mbr_special_needs_cd, mbr_timezone, mbr_upd_dt, mbr_user_idn, mbr_wgt, mbr_work_status_idn, ROWNUM AS ora_rn FROM (SELECT mbr.comment_idn AS mbr_comment_idn, mbr.crt_dt AS mbr_crt_dt, mbr.data_source AS mbr_data_source, mbr.dol_bl_rmo_ind AS mbr_dol_bl_rmo_ind, mbr.dxcg_ctl_member AS mbr_dxcg_ctl_member, mbr.employment_start_dt AS mbr_employment_start_dt, mbr.employment_term_dt AS mbr_employment_term_dt, mbr.entity_active AS mbr_entity_active, mbr.ethnicity_idn AS mbr_ethnicity_idn, mbr.general_health_status_code AS mbr_general_health_status_code, mbr.hand_dominant_code AS mbr_hand_dominant_code, mbr.hgt_feet AS mbr_hgt_feet, mbr.hgt_inches AS mbr_hgt_inches, mbr.highest_edu_level AS mbr_highest_edu_level, mbr.insd_addr_idn AS mbr_insd_addr_idn, mbr.insd_alt_id AS mbr_insd_alt_id, mbr.insd_name AS mbr_insd_name, mbr.insd_ssn_tin AS mbr_insd_ssn_tin, mbr.is_smoker AS mbr_is_smoker, mbr.is_vip AS mbr_is_vip, mbr.lmbr_first_name AS mbr_lmbr_first_name, mbr.lmbr_last_name AS mbr_lmbr_last_name, mbr.marital_status_cd AS mbr_marital_status_cd, mbr.mbr_birth_dt AS mbr_mbr_birth_dt, mbr.mbr_death_dt AS mbr_mbr_death_dt, mbr.mbr_expired AS mbr_mbr_expired, mbr.mbr_first_name AS mbr_mbr_first_name, mbr.mbr_gender_cd AS mbr_mbr_gender_cd, mbr.mbr_idn AS mbr_mbr_idn, mbr.mbr_ins_type AS mbr_mbr_ins_type, mbr.mbr_isreadonly AS mbr_mbr_isreadonly, mbr.mbr_last_name AS mbr_mbr_last_name, mbr.mbr_middle_name AS mbr_mbr_middle_name, mbr.mbr_name AS mbr_mbr_name, mbr.mbr_status_idn AS mbr_mbr_status_idn, mbr.mpi_id AS mbr_mpi_id, mbr.preferred_am_pm AS mbr_preferred_am_pm, mbr.preferred_time AS mbr_preferred_time, mbr.prv_innetwork AS mbr_prv_innetwork, mbr.rep_addr_idn AS mbr_rep_addr_idn, mbr.rep_name AS mbr_rep_name, mbr.rp_mbr_id AS mbr_rp_mbr_id, mbr.same_mbr_ins AS mbr_same_mbr_ins, mbr.special_needs_cd AS mbr_special_needs_cd, mbr.timezone AS mbr_timezone, mbr.upd_dt AS mbr_upd_dt, mbr.user_idn AS mbr_user_idn, mbr.wgt AS mbr_wgt, mbr.work_status_idn AS mbr_work_status_idn FROM mbr JOIN mbr_identfn ON mbr.mbr_idn = mbr_identfn.mbr_idn WHERE mbr_identfn.mbr_idn = mbr.mbr_idn AND mbr_identfn.identfd_type = :identfd_type_1 AND mbr_identfn.identfd_number = :identfd_number_1 AND mbr_identfn.entity_active = :entity_active_1) WHERE ROWNUM <= :ROWNUM_1) WHERE ora_rn > :ora_rn_1 call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 9936 0.46 0.49 0 0 0 0 Execute 9936 0.60 0.59 0 0 0 0 Fetch 9936 329.87 404.00 0 136966922 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 29808 330.94 405.09 0 136966922 0 0 Misses in library cache during parse: 0 Optimizer mode: FIRST_ROWS Parsing user id: 36 (JIVA_DEV) Rows Row Source Operation ------- --------------------------------------------------- 0 VIEW (cr=102 pr=0 pw=0 time=2180 us) 0 COUNT STOPKEY (cr=102 pr=0 pw=0 time=2163 us) 0 NESTED LOOPS (cr=102 pr=0 pw=0 time=2152 us) 0 INDEX SKIP SCAN IDX_MBR_IDENTFN (cr=102 pr=0 pw=0 time=2140 us)(object id 341053) 0 TABLE ACCESS BY INDEX ROWID MBR (cr=0 pr=0 pw=0 time=0 us) 0 INDEX UNIQUE SCAN PK_CLAIMANT (cr=0 pr=0 pw=0 time=0 us)(object id 334044) Rows Execution Plan ------- --------------------------------------------------- 0 SELECT STATEMENT MODE: HINT: FIRST_ROWS 0 VIEW 0 COUNT (STOPKEY) 0 NESTED LOOPS 0 INDEX MODE: ANALYZED (SKIP SCAN) OF 'IDX_MBR_IDENTFN' (INDEX (UNIQUE)) 0 TABLE ACCESS MODE: ANALYZED (BY INDEX ROWID) OF 'MBR' (TABLE) 0 INDEX MODE: ANALYZED (UNIQUE SCAN) OF 'PK_CLAIMANT' (INDEX (UNIQUE)) ******************************************************************************** Based on my reading of Oracle's documentation of skip scans, a skip scan is most useful when the first column of an index has a low number of unique values. The thing is that the first index of this column is a unique primary key. So am I correct in assuming that a skip scan is the wrong thing to do here? Also, what kind of scan should it be doing? Should I do some more hinting for this query? EDIT: I should also point out that the query's where clause uses the columns in IDX_MBR_IDENTFN and no columns other than what's in that index. So as far as I can tell, I'm not skipping any columns.

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  • Java Google App Engine Datastore: 'IN' operator available on JDO query filters, as with Python?

    - by Jim Blackler
    This page describes an 'IN' operator that can be used in GAE Datastore to compare a field against a list of possible matches, not just a single value: However this is for Python. In Java (App Engine 1.2.5), trying query.setFilter("someField IN param"); on my javax.jdo.query fires a JDOUserException 'Portion of expression could not be parsed: IN param'. Is there a way this can be done?

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  • Adding custom query to paginator (KNP Paginator) in Symfony2?

    - by Unni
    I have the following query , how to write these query in Symfony2 SELECT Inventory_Stock.id, Inventory_Stock.quantity, SUM(InventoryUsage.quantity) ,Inventory_Stock.quantity - SUM(InventoryUsage.quantity) AS Stock FROM Inventory_Stock LEFT JOIN InventoryUsage ON Inventory_Stock.id = InventoryUsage.InventoryStock_id WHERE Inventory_Stock.id = 26 OR Inventory_Stock.id = 27 GROUP BY Inventory_Stock.id ORDER BY Stock DESC I need to paginate this as well Would be great if any one could help me out as this has been pulling my hair out for couple of days.

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  • Is there a way to add or remove a line of an LINQ to DB Query based on if the value being checked is

    - by RandomBen
    If I have a query like this: String Category = HttpContext.Current.Request.QueryString["Product"].ToString(); IQueryable<ItemFile> pressReleases = from file in connection.ItemFile where file.Type_ID == 8 && file.Category == Category select file; Is there a way to make this LINQ Query so that I do no use the line file.Category == Category if Category is null or empty?

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  • How can I query Google Spreadsheets API with a string value?

    - by ColinM
    I am using Zend_Gdata_SpreadsheetsListQuery. In PHP my query is: "confirmation=$confirmation" The problem is that $confirmation = 'AB-CD-EFG-012345'; Apparently the hyphens are causing problems with the query and the exception thrown is: Uncaught exception 'Zend_Gdata_App_HttpException' with message 'Expected response code 200, got 400 Parse error: Invalid token encountered' How can I quote or escape the value to not cause parse errors? Single quotes cause the same error, double quotes don't throw errors but there are no results to match.

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