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  • What is the best way to post data from web browser to server?

    - by Kronass
    Hi, I want to know what is the best way to send data from web browser to server using post method. I've seen a practice where they wrap all the elements data in XML, convert it into Base64 string and then post it to the server (via Ajax or hidden field). this way will not work if the Javascript is disabled, any how if I ignored this. is it a good practice to wrap elements into XML (or create my custom wrapper in general) and post them to server saying it will enhance the maintainability of the code or just stick with the classical way and no need to add unnecessary text in the post.

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  • What is the best approach towards styling GWT applications?

    - by Ashwin
    General approach in GWT is to use Panels and then apply custom CSS themes to get a customized look. While I can achieve a certain extent of personalization of my GWT app through CSS tinkering, I was wondering how others generally approach styling. Some of the suggestions I came across the web were to manage layout with plain HTML, through use of HTMLPanel's. This way one can straightaway use the HTML mock-up within the application without having to code all the layout. So what in your opinion is the best and least painful way to approach layout and custom styling of GWT application?

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  • SVN Best practice for a "branch" of your main product ?

    - by Steffen
    At my job we develop websites - however now we're going to make a "whitelabelled" version of a site, which basically means it's the same site, however with a different logo and hosted on a different domain. Also it'll have minor graphical differences, but overall the engine is the same. My initial thought for keeping this in SVN, was to just make a branch for it - however I'm not quite certain if this could give me trouble later on. Normally I keep my branches somewhat short lived - mainly used for developing a new feature, without disturbing trunk. We need to be able to merge trunk changes into this "whitelabel" version, which I why I thought about branching it in the first place. So what's the best way to archive this ?

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  • Best practice for storage and retrieval of error messages.

    - by ferrari fan
    What is a best practice for storing user messages in a configuration file and then retrieving them for certain events throughout an application? I was thinking of having 1 single configuration file with entries such as REQUIRED_FIELD = {0} is a required field INVALID_FORMAT = The format for {0} is {1} etc. and then calling them from a class that would be something like this public class UIMessages { public static final String REQUIRED_FIELD = "REQUIRED_FIELD"; public static final String INVALID_FORMAT = "INVALID_FORMAT"; static { // load configuration file into a "Properties" object } public static String getMessage(String messageKey) { // return properties.getProperty(messageKey); } } Is this the right way to approach this problem or is there some de-facto standard already in place?

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  • From Oracle PL/SQL Developer to Java programmer - Is it a good decision? [on hold]

    - by user3554231
    I will explain my question in simple words. I have little over 1 year experience in Oracle. My dream is to be "called" as a 'Developer', be it database developer if not software developer. But right now I don't develop anything neither I am in good touch with PL/SQL and other Oracle Utilites like SQL*LOADER, shell scripting and stuff like that as I am only a System Analyst where I analyze and configure database using SQL queries. To be honest, I know very basic PL/SQL and good knowledge in SQL but that won't ever give me a chance to be a developer as I am lagging way behind the "real" developers knowledge. Now I feel I should learn JAVA as well so that I can cope up with the competition. But I am too scared to learn new things as it will take much more time which will indirectly increase my useless work experince(just analyzing) which values nothing in todays market. Moreover that, I am too lazy to work hard i.e. to study and not to work during office hours. To sum it up I am lazy and confused and scared but I want to learn things as well but don't know if I am intelligent enough to learn whole of PL/SQL or to master any other language. Is there any other way from which I can feel confident? Actually I even feel sometimes that after 2-3 years if I still don't achieve my goal, I won't ever be able to reach my destination. I just want to live my dream of being a developer. Give me some tips and hopes but not false hopes.

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  • What's the best way to unit test code that generates random output?

    - by Flynn1179
    Specifically, I've got a method picks n items from a list in such a way that a% of them meet one criterion, and b% meet a second, and so on. A simplified example would be to pick 5 items where 50% have a given property with the value 'true', and 50% 'false'; 50% of the time the method would return 2 true/3 false, and the other 50%, 3 true/2 false. Statistically speaking, this means that over 100 runs, I should get about 250 true/250 false, but because of the randomness, 240/260 is entirely possible. What's the best way to unit test this? I'm assuming that even though technically 300/200 is possible, it should probably fail the test if this happens. Is there a generally accepted tolerance for cases like this, and if so, how do you determine what that is?

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  • What's the best way to write a maintainable web scraping app?

    - by Benj
    I wrote a perl script a while ago which logged into my online banking and emailed me my balance and a mini-statement every day. I found it very useful for keeping track of my finances. The only problem is that I wrote it just using perl and curl and it was quite complicated and hard to maintain. After a few instances of my bank changing their webpage I got fed up of debugging it to keep it up to date. So what's the best way of writing such a program in such a way that it's easy to maintain? I'd like to write a nice well engineered version in either Perl or Java which will be easy to update when the bank inevitably fiddle with their web site.

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  • Check if web form values has changed. Best practice

    - by Andrew Florko
    Hello everybody, I have multi-step form and user can navigate to any page to modify or add information. There is a menu that shows progress and steps user completed. This menu allows to navigate to any step user completed or going to complete. Inspite of big button "Save and Continue" some users click this menu to navigate further. I have to check - if values have changed in a form and ask: "Save changes? Yes/No". What is the best way (with minimum code) you suggest me to check if form values have changed. Thank you in advance!

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  • Best way to force Spring shutdown from a bean?

    - by xcut
    My application uses a Spring DefaultMessageListenerContainer to process incoming messages. The main method of the app already registers a shutdown hook. Question is this: what is the best way to force the application context to shut down? If I throw a RuntimeException in the message listener, it is handled by the container, and not passed on. Is calling System.exit acceptable? Do I pass along the ApplicationContext to every class that needs to shut down, so I can call close() on it?

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  • Best practice to detect iPhone app only access for web services?

    - by Gaius Parx
    I am developing an iPhone app together with web services. The iPhone app will use GET or POST to retrieve data from the web services such as http://www.myserver.com/api/top10songs.json to get data for top ten songs for example. There is no user account and password for the iPhone app. What is the best practice to ensure that only my iPhone app have access to the web API http://www.myserver.com/api/top10songs.json? iPhone SDK's UIDevice uniqueueIdentifier is not sufficient as anyone can fake the device id as parameter making the API call using wget, curl or web browsers. The web services API will not be published. The data of the web services is not secret and private, I just want to prevent abuse as there are also API to write some data to the server such as usage log.

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  • Best practice for avoiding locks on a heavily read table?

    - by Luiggi
    Hi, I have a big database (~4GB), with 2 large tables (~3M records) having ~180K SELECTs/hour, ~2k UPDATEs/hour and ~1k INSERTs+DELETEs/hour. What would be the best practice to guarantee no locks for the reading tasks while inserting/updating/deleting? I was thinking about using a NOLOCK hint, but there is so much discussed about this (is good, is bad, it depends) that I'm a bit lost. I must say I've tried this in a dev environment and I didn't find any problems, but I don't want to put it on production until I get some feedback... Thank you! Luiggi

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  • Basics of Join Predicate Pushdown in Oracle

    - by Maria Colgan
    Happy New Year to all of our readers! We hope you all had a great holiday season. We start the new year by continuing our series on Optimizer transformations. This time it is the turn of Predicate Pushdown. I would like to thank Rafi Ahmed for the content of this blog.Normally, a view cannot be joined with an index-based nested loop (i.e., index access) join, since a view, in contrast with a base table, does not have an index defined on it. A view can only be joined with other tables using three methods: hash, nested loop, and sort-merge joins. Introduction The join predicate pushdown (JPPD) transformation allows a view to be joined with index-based nested-loop join method, which may provide a more optimal alternative. In the join predicate pushdown transformation, the view remains a separate query block, but it contains the join predicate, which is pushed down from its containing query block into the view. The view thus becomes correlated and must be evaluated for each row of the outer query block. These pushed-down join predicates, once inside the view, open up new index access paths on the base tables inside the view; this allows the view to be joined with index-based nested-loop join method, thereby enabling the optimizer to select an efficient execution plan. The join predicate pushdown transformation is not always optimal. The join predicate pushed-down view becomes correlated and it must be evaluated for each outer row; if there is a large number of outer rows, the cost of evaluating the view multiple times may make the nested-loop join suboptimal, and therefore joining the view with hash or sort-merge join method may be more efficient. The decision whether to push down join predicates into a view is determined by evaluating the costs of the outer query with and without the join predicate pushdown transformation under Oracle's cost-based query transformation framework. The join predicate pushdown transformation applies to both non-mergeable views and mergeable views and to pre-defined and inline views as well as to views generated internally by the optimizer during various transformations. The following shows the types of views on which join predicate pushdown is currently supported. UNION ALL/UNION view Outer-joined view Anti-joined view Semi-joined view DISTINCT view GROUP-BY view Examples Consider query A, which has an outer-joined view V. The view cannot be merged, as it contains two tables, and the join between these two tables must be performed before the join between the view and the outer table T4. A: SELECT T4.unique1, V.unique3 FROM T_4K T4,            (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3) VWHERE T4.unique3 = V.hundred(+) AND       T4.ten = V.ten(+) AND       T4.thousand = 5; The following shows the non-default plan for query A generated by disabling join predicate pushdown. When query A undergoes join predicate pushdown, it yields query B. Note that query B is expressed in a non-standard SQL and shows an internal representation of the query. B: SELECT T4.unique1, V.unique3 FROM T_4K T4,           (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3             AND T4.unique3 = V.hundred(+)             AND T4.ten = V.ten(+)) V WHERE T4.thousand = 5; The execution plan for query B is shown below. In the execution plan BX, note the keyword 'VIEW PUSHED PREDICATE' indicates that the view has undergone the join predicate pushdown transformation. The join predicates (shown here in red) have been moved into the view V; these join predicates open up index access paths thereby enabling index-based nested-loop join of the view. With join predicate pushdown, the cost of query A has come down from 62 to 32.  As mentioned earlier, the join predicate pushdown transformation is cost-based, and a join predicate pushed-down plan is selected only when it reduces the overall cost. Consider another example of a query C, which contains a view with the UNION ALL set operator.C: SELECT R.unique1, V.unique3 FROM T_5K R,            (SELECT T1.unique3, T2.unique1+T1.unique1             FROM T_5K T1, T_10K T2             WHERE T1.unique1 = T2.unique1             UNION ALL             SELECT T1.unique3, T2.unique2             FROM G_4K T1, T_10K T2             WHERE T1.unique1 = T2.unique1) V WHERE R.unique3 = V.unique3 and R.thousand < 1; The execution plan of query C is shown below. In the above, 'VIEW UNION ALL PUSHED PREDICATE' indicates that the UNION ALL view has undergone the join predicate pushdown transformation. As can be seen, here the join predicate has been replicated and pushed inside every branch of the UNION ALL view. The join predicates (shown here in red) open up index access paths thereby enabling index-based nested loop join of the view. Consider query D as an example of join predicate pushdown into a distinct view. We have the following cardinalities of the tables involved in query D: Sales (1,016,271), Customers (50,000), and Costs (787,766).  D: SELECT C.cust_last_name, C.cust_city FROM customers C,            (SELECT DISTINCT S.cust_id             FROM sales S, costs CT             WHERE S.prod_id = CT.prod_id and CT.unit_price > 70) V WHERE C.cust_state_province = 'CA' and C.cust_id = V.cust_id; The execution plan of query D is shown below. As shown in XD, when query D undergoes join predicate pushdown transformation, the expensive DISTINCT operator is removed and the join is converted into a semi-join; this is possible, since all the SELECT list items of the view participate in an equi-join with the outer tables. Under similar conditions, when a group-by view undergoes join predicate pushdown transformation, the expensive group-by operator can also be removed. With the join predicate pushdown transformation, the elapsed time of query D came down from 63 seconds to 5 seconds. Since distinct and group-by views are mergeable views, the cost-based transformation framework also compares the cost of merging the view with that of join predicate pushdown in selecting the most optimal execution plan. Summary We have tried to illustrate the basic ideas behind join predicate pushdown on different types of views by showing example queries that are quite simple. Oracle can handle far more complex queries and other types of views not shown here in the examples. Again many thanks to Rafi Ahmed for the content of this blog post.

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • Coherence Special Interest Group: First Meeting in Toronto and Upcoming Events in New York and Calif

    - by [email protected]
    The first meeting of the Toronto Coherence Special Interest Group (TOCSIG). Date: Friday, April 23, 2010 Time: 8:30am-12:00pm Where: Oracle Mississauga Office, Customer Visitation Center, 110 Matheson Blvd. West, Suite 100, Mississauga, ON L5R3P4 Cameron Purdy, Vice President of Development (Oracle), Patrick Peralta, Senior Software Engineer (Oracle), and Noah Arliss, Software Development Manager (Oracle) will be presenting. Further information about this event can be seen here   The New York Coherence SIG is hosting its seventh meeting. Date: Thursday, Apr 15, 2010 Time: 5:30pm-5:45pm ET social and 5:45pm-8:00pm ET presentations Where: Oracle Office, Room 30076, 520 Madison Avenue, 30th Floor, Patrick Peralta, Dr. Gene Gleyzer, and Craig Blitz from Oracle, will be presenting. Further information about this event can be seen here   The Bay Area Coherence SIG is hosting its fifth meeting. Date: Thursday, Apr 29, 2009 Time: 5:30pm-5:45pm PT social and 5:45pm-8:00pm PT presentations Where: Oracle Conference Center, 350 Oracle Parkway, Room 203, Redwood Shores, CA Tom Lubinski from SL Corp., Randy Stafford from the Oracle A-team, and Taylor Gautier from Grid Dynamics will be presenting Further information about this event can be seen here   Great news, aren't they? 

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  • Webcast: 12.2.4 Advanced Planning Command Center Enhancements

    - by ChristineS-Oracle
    Webcast: 12.2.4 Advanced Planning Command Center Enhancements Date: June 12, 2014 at 11:00 am ET, 10:00 am CT, 9:00 am MT, 8:00 am PT, 8:30 pm, India Time (Mumbai, GMT+05:30) This advisor webcast helps Functional Users and IT Analysts understand the new features introduced in Advanced Planning Command Center (APCC) as part of 12.2.4 release. These include custom hierarchies, custom measures, additional measures like projected on hand etc. Other new features include new reports like Build Plan, Order Details. It also includes new integration capabilities between APCC and DRP and support for Trade Planning in APCC. Topics will include: New Feature Introduction Feature Overview and Setup Steps Implementation Tips & Best Practices Details & Registration: Doc ID 1670447.1

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  • SPARC Solaris Momentum

    - by Mike Mulkey-Oracle
    Following up on the Oracle Solaris 11.2 launch on April 29th, if you were able to watch the launch event, you saw Mark Hurd state that Oracle will be No. 1 in high-end computing systems "in a reasonable time frame”.  "This is not a 3-year vision," he continued.Well, According to IDC's latest 1QCY14 Tracker, Oracle has regained the #1 UNIX Shipments Marketshare! You can see the report and read about it here: Oracle regains the #1 UNIX Shipments Marketshare, but suffice to say that SPARC Solaris is making strong gains on the competition.  If you have seen the public roadmap through 2019 of Oracle's commitment to continue to deliver on this technology, you can see that Mark Hurd’s comment was not to be taken lightly.  We feel the systems tide turning in Oracle's direction and are working hard to show our partner community the value of being a part of the SPARC Solaris momentum.We are now planning for the Solaris 11.2 GA in late summer (11.2 beta is available now), as well as doing early preparations for Oracle OpenWorld 2014 on September 28th.  Stay tuned there!Here is a sampling of the coverage highlights around the Oracle Solaris 11.2 launch:“Solaris is still one of the most advanced platforms in the enterprise.” – ITBusinessEdge“Oracle is serious about clouds now, just as its customers are, whether they are building them in their own datacenters or planning to use public clouds.” – EnterpriseTech"Solaris is more about a layer of an integrated system than an operating system.” — ZDNet

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  • SSRS Report from Oracle DB - Use stored procedure

    - by Emtucifor
    I am developing a report in Sql Server Reporting Services 2005, connecting to an Oracle 11g database. As you post replies perhaps it will help to know that I'm skilled in MSSQL Server and inexperienced in Oracle. I have multiple nested subreports and need to use summary data in outer reports and the same data but in detail in the inner reports. In order to spare the DB server from multiple executions, I thought to populate some temp tables at the beginning and then query just them the multiple times in the report and the subreports. In SSRS, Datasets are evidently executed in the order they appear in the RDL file. And you can have a dataset that doesn't return a rowset. So I created a stored procedure to populate my four temp tables and made this the first Dataset in my report. This SP works when I run it from SQLDeveloper and I can query the data from the temp tables. However, this didn't appear to work out because SSRS was apparently not reusing the same session, so even though the global temporary tables were created with ON COMMIT PRESERVE ROWS my Datasets were empty. I switched to using "real" tables and am now passing in an additional parameter, a GUID in string form, uniquely generated on each new execution, that is part of the primary key of each table, so I can get back just the rows for this execution. Running this from Sql Developer works fine, example: DECLARE ActivityCode varchar2(15) := '1208-0916 '; ExecutionID varchar2(32) := SYS_GUID(); BEGIN CIPProjectBudget (ActivityCode, ExecutionID); END; Never mind that in this example I don't know the GUID, this simply proves it works because rows are inserted to my four tables. But in the SSRS report, I'm still getting no rows in my Datasets and SQL Developer confirms no rows are being inserted. So I'm thinking along the lines of: Oracle uses implicit transactions and my changes aren't getting committed? Even though I can prove that the non-rowset returning SP is executing (because if I leave out the parameter mapping it complains at report rendering time about not having enough parameters) perhaps it's not really executing. Somehow. Wrong execution order isn't the problem or rows would appear in the tables, and they aren't. I'm interested in any ideas about how to accomplish this (especially the part about not running the main queries multiple times). I'll redesign my whole report. I'll stop using a stored procedure. Suggest anything you like! I just need help getting this working and I am stuck. If you want more details, in my SSRS report I have a List object (it's a container that repeats once for each row in a Dataset) that has some header values and then contains a subreport. Eventually, there will be four total reports: one main report, with three nested subreports. Each subreport will be in a List on the parent report.

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  • Calling oracle stored procedure from Excel - VBA

    - by Ram
    I have to execute an Oracle stored procedure from vba (Excel) with around 38 input parameters. The stored procedure will insert some values in the destination table once that is executed. When it is executed through VBA the number of fields which is inserted is less than when it is executed directly from the backend (oracle). For example it is creating around 17 fields of records while executing directly from the back end. (I have created a wrapper class in the back-end and passing the same parameter values in the back-end.). It is creating around 15 fields of records while executing from the excel VBA in the destination table. Kindly let me know what could be the possible reasons for this.

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  • Comparing two Oracle schema, other users

    - by Igman
    Hello! I have been tasked with comparing two oracle schema with a large number of tables to find the structural differences in the schema. Up until know I have used the DB Diff tool in Oracle SQL Developer, and it has worked very well. The issue is that now I need to compare tables in a user that I cannot log into , but I can see it through the other users section in SQL developer. The issue is that whenever I try to use the diff tool to compare those objects to the other schema it does not work. Does anyone have any idea how to do this? It would save me a very large amount of work. I have some basic SQL knowledge if that is whats needed. Thanks.

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  • Labeling connections using Oracle Universal Connection Pool (UCP) doesn't seem to work

    - by sapporo
    I'm evaluating the Oracle Universal Connection Pool (UCP) included with their 11.2 JDBC driver, but cannot get the labeling functionality to work properly (which I'd like to use to minimize the amount of ALTER SESSION statements). I'm basically following their sample code to implement the ConnectionLabelingCallback interface. The callback method cost(Properties reqLabels, Properties currentLabels) is called as expected, so the callback seems to be configured correctly. However, the other callback method configure(Properties reqLabels, Object conn) is passed arguments that make it impossible to provide a meaningful implementation: reqLabels is always null, so the callback method has no way of knowing what labels need to be set. conn is of type oracle.jdbc.driver.T4CConnection, which cannot be cast to LabelableConnection, so the callback method has no way of inspecting or manipulating the labels attached to the connection. My code is running on Java 6 and using ojdbc6.jar and ucp.jar version 11.2.0.1.0. The database is actually 10.2, but that should not be a problem according to the docs, since the UCP functionality is completely implemented in the JDBC driver. Thanks in advance!

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  • Setting session timezone with spring jdbc oracle

    - by user337620
    Hello I have a spring/jdbc/oracle 10g application. The Oracle server database timezone is set to GMT + 2 JVM timezone is GMT + 2 (even though it doesn't matter in my case). I have a stored procedure that performs some date operations. The problem is that session timezone is different(GMT) than database timezone even though I do not set session timezone explicit in my code/configuration. As far as I know the session timezone is by default equal to database timezone. Any idea why is the session timezone different than database timezone or how can I configure it in spring configuration (org.apache.commons.dbcp.BasicDataSource) ? Thank you.

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  • Using MyGeneration, doodads, and Oracle XE, is it possible to implement an "auto number primary key"

    - by Michael Rosario
    Hello world. Using MyGeneration, doodads, and Oracle XE, is it possible to implement an "auto number primary key" scheme? Problem facts: I am using Oracle XE. I have implemented the following table and trigger: CREATE TABLE "USERS" ( "ID" NUMBER(38,0), "USER_NAME" VARCHAR2(50), "PASSWORD" VARCHAR2(50), "EMAIL" VARCHAR2(100), CONSTRAINT "USERS_PK" PRIMARY KEY ("ID") ENABLE ) / CREATE OR REPLACE TRIGGER "BI_USERS" before insert on "USERS" for each row begin select "USERS_SEQ".nextval into :NEW.ID from dual; end; / ALTER TRIGGER "BI_USERS" ENABLE / MyGeneration / Doodads created the following stored proc... CREATE OR REPLACE PROCEDURE "XXX"."PI_USERS" ( p_ID IN USERS.ID%type, p_USER_NAME IN USERS.USER_NAME%type, p_PASSWORD IN USERS.PASSWORD%type, p_EMAIL IN USERS.EMAIL%type ) IS BEGIN INSERT INTO USERS ( ID, USER_NAME, PASSWORD, EMAIL ) VALUES ( p_ID, p_USER_NAME, p_PASSWORD, p_EMAIL ); END PI_USERS; The sequence and trigger combination is working fine. The BusinessEntity class in C# does not receive the new ID. Any recommended ways to allow the calling code receive the new record ID?

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