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  • How to select all parent objects into DataContext using single LINQ query ?

    - by too
    I am looking for an answer to a specific problem of fetching whole LINQ object hierarchy using single SELECT. At first I was trying to fill as much LINQ objects as possible using LoadOptions, but AFAIK this method allows only single table to be linked in one query using LoadWith. So I have invented a solution to forcibly set all parent objects of entity which of list is to be fetched, although there is a problem of multiple SELECTS going to database - a single query results in two SELECTS with the same parameters in the same LINQ context. For this question I have simplified this query to popular invoice example: public static class Extensions { public static IEnumerable<T> ForEach<T>(this IEnumerable<T> collection, Action<T> func) { foreach(var c in collection) { func(c); } return collection; } } public IEnumerable<Entry> GetResults(AppDataContext context, int CustomerId) { return ( from entry in context.Entries join invoice in context.Invoices on entry.EntryInvoiceId equals invoice.InvoiceId join period in context.Periods on invoice.InvoicePeriodId equals period.PeriodId // LEFT OUTER JOIN, store is not mandatory join store in context.Stores on entry.EntryStoreId equals store.StoreId into condStore from store in condStore.DefaultIfEmpty() where (invoice.InvoiceCustomerId = CustomerId) orderby entry.EntryPrice descending select new { Entry = entry, Invoice = invoice, Period = period, Store = store } ).ForEach(x => { x.Entry.Invoice = Invoice; x.Invoice.Period = Period; x.Entry.Store = Store; } ).Select(x => x.Entry); } When calling this function and traversing through result set, for example: var entries = GetResults(this.Context); int withoutStore = 0; foreach(var k in entries) { if(k.EntryStoreId == null) withoutStore++; } the resulting query to database looks like (single result is fetched): SELECT [t0].[EntryId], [t0].[EntryInvoiceId], [t0].[EntryStoreId], [t0].[EntryProductId], [t0].[EntryQuantity], [t0].[EntryPrice], [t1].[InvoiceId], [t1].[InvoiceCustomerId], [t1].[InvoiceDate], [t1].[InvoicePeriodId], [t2].[PeriodId], [t2].[PeriodName], [t2].[PeriodDateFrom], [t4].[StoreId], [t4].[StoreName] FROM [Entry] AS [t0] INNER JOIN [Invoice] AS [t1] ON [t0].[EntryInvoiceId] = [t1].[InvoiceId] INNER JOIN [Period] AS [t2] ON [t2].[PeriodId] = [t1].[InvoicePeriodId] LEFT OUTER JOIN ( SELECT 1 AS [test], [t3].[StoreId], [t3].[StoreName] FROM [Store] AS [t3] ) AS [t4] ON [t4].[StoreId] = ([t0].[EntryStoreId]) WHERE (([t1].[InvoiceCustomerId]) = @p0) ORDER BY [t0].[InvoicePrice] DESC -- @p0: Input Int (Size = 0; Prec = 0; Scale = 0) [186] -- Context: SqlProvider(Sql2008) Model: AttributedMetaModel Build: 3.5.30729.1 SELECT [t0].[EntryId], [t0].[EntryInvoiceId], [t0].[EntryStoreId], [t0].[EntryProductId], [t0].[EntryQuantity], [t0].[EntryPrice], [t1].[InvoiceId], [t1].[InvoiceCustomerId], [t1].[InvoiceDate], [t1].[InvoicePeriodId], [t2].[PeriodId], [t2].[PeriodName], [t2].[PeriodDateFrom], [t4].[StoreId], [t4].[StoreName] FROM [Entry] AS [t0] INNER JOIN [Invoice] AS [t1] ON [t0].[EntryInvoiceId] = [t1].[InvoiceId] INNER JOIN [Period] AS [t2] ON [t2].[PeriodId] = [t1].[InvoicePeriodId] LEFT OUTER JOIN ( SELECT 1 AS [test], [t3].[StoreId], [t3].[StoreName] FROM [Store] AS [t3] ) AS [t4] ON [t4].[StoreId] = ([t0].[EntryStoreId]) WHERE (([t1].[InvoiceCustomerId]) = @p0) ORDER BY [t0].[InvoicePrice] DESC -- @p0: Input Int (Size = 0; Prec = 0; Scale = 0) [186] -- Context: SqlProvider(Sql2008) Model: AttributedMetaModel Build: 3.5.30729.1 The question is why there are two queries and how can I fetch LINQ objects without such hacks?

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  • print hierarchy data(adjacency list model) in a list(ul/ol/li)

    - by adi
    I have adjacency list model like on the page http://dev.mysql.com/tech-resources/articles/hierarchical-data.html i have make a full table containing all data ordered by level using this SELECT t1.name AS lev1, t2.name as lev2, t3.name as lev3, t4.name as lev4 FROM category AS t1 LEFT JOIN category AS t2 ON t2.parent = t1.category_id LEFT JOIN category AS t3 ON t3.parent = t2.category_id LEFT JOIN category AS t4 ON t4.parent = t3.category_id WHERE t1.name = 'ELECTRONICS'; ORDER by ..... I want to make an unordered list using php from the table Anyone can help me...

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  • looking for a set union find algorithm

    - by Mig
    I have thousands of lines of 1 to 100 numbers, every line define a group of numbers and a relationship among them. I need to get the sets of related numbers. Little Example: If I have this 7 lines of data T1 T2 T3 T4 T5 T6 T1 T5 T4 T3 T4 I need a not so slow algorith to know that the sets here are: T1 T2 T6 (because T1 is related with T2 in the first line and T1 related with T6 in the line 5) T3 T4 T5 (because T5 is with T4 in line 6 and T3 is with T4 in line 7) but when you have very big sets is painfully slow to do a search of a T(x) in every big set, and do unions of sets... etc. Do you have a hint to do this in a not so brute force manner? I'm trying to do this in python. Thanks

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  • MySQL Count If using 4 tables or Perl

    - by user1726133
    Hi I have a relatively convoluted query that relies on 4 different tables, unfortunately I do not have control of this data, but I do have to query it. I ran this simpler query and it works using just table 1 and table 2 SELECT actor, receiver, count(IF(t2.group1 = "anxiety behavior", 1,0)) AS 'anxiety' FROM ethogram_edited_obs_behaviors t1 JOIN ethogram_behaviors t2 on t1.behavior = t2.behavior_code GROUP BY actor; Below are the 4 tables I need and the query I tried that didn't work Table 1 | Table 2 | Table 3 | Table 4 Actor | Behavior | Behavior | type of Behavior | subject | sex | subject |subject_code er frown | frown anxiety behavior | Eric M | Eric | er Here is the query that is failing SELECT actor, count(IF(t2.group1 = "anxiety behavior", 1,0) AND(t3.sex = "M", 1,0)) AS 'anxiety', FROM ethogram_edited_obs_behaviors t1 JOIN ethogram_behaviors t2 on t1.behavior = t2.behavior_code JOIN subject_code t3 on t1.actor = t3.behavior_code1 JOIN subjects t4 on t3.subject = t4.yerkes_code GROUP BY actor; Any help would be much appreciated!! Thanks :) P.S. if this is easier to do in Perl tips also much appreciated

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  • Linq to Entity Dynamic where clause

    - by GodSmart
    I have Linq to Entity query like you can see below I am using it five times in my code, everything that change is where clause. is it possible to create a method and pass just where values, not to write all code five times. Thank you items = from t1 in _entities.table1 join t2 in _entities.Table2 on t1.column1 equals t2.column1 join t3 in _entities.Table3 on t1.column2 equals t3.column2 join t4 in _entities.Table4 on t1.column3 equals t4.column3 where **t1.column5 == Something** select new { t1.column7, t2.column8, t3.column9, t4.column10 };

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  • Strange Template error : error C2783: could not deduce template argument

    - by osum
    Hi, I have created a simple function with 2 diffrernt template arguments t1, t2 and return type t3. So far no compilation error. But when Itry to call the function from main, I encounter error C2783. I needed to know If the following code is legally ok? If not how is it fixed? please help! template <typename t1, typename t2, typename t3> t3 adder1 (t1 a , t2 b) { return int(a + b); }; int main() { int sum = adder1(1,6.0); // error C2783 could not deduce template argument for t3 return 0; }

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  • how to join 3 relational tables

    - by orioncabbar
    Hello there, how to join 3 relational tables with the structure: t1 | id t2 | id | rating t3 | source_id | relation t3 stores the data of a field which t1 and t2 uses both. so source_id field can be t1's id or t2's id. input : t1 id output : t2 rating an example: **t1** id | --------- 42 | **t2** id | rating ------------- 37 | 9.2 **t3** id | source_id -------------- 42 | 1 37 | 1 26 | 2 23 | 1 what i want is to get 9.2 output with 42 input. can you do that in one sql query?

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  • what's wrong with this code?

    - by user329820
    Hi this is my code which will not work correctly ! what is wrong with its data type :( thanks CREATE TABLE T1 (A INTEGER NOT NULL); CREATE TABLE T3 (A SMALLINT NOT NULL); INSERT T1 VALUES (32768.5); SELECT * FROM T1; INSERT T3 SELECT * FROM T1; SELECT * FROM T3;

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  • Oracle SQL outer join query puzzle

    - by user1651446
    So I am dumb and I have this: select whatever from bank_accs b1, bank_accs b2, table3 t3 where t3.bank_acc_id = t1.bank_acc_id and b2.bank_acc_number = b1.bank_acc_number and b2.currency_code(+) = t3.buy_currency and trunc(sysdate) between nvl(b2.start_date, trunc(sysdate)) and nvl(b2.end_date, trunc(sysdate)); My problem is with the date (actuality) check on b2. Now, I need to return a row for each t3xb1 (t3 = ~10 tables joined, of course), even if there are ONLY INVALID records (date-wise) in b2. How do I outer-join this bit properly? Can't use ANSI joins, must do in a single flat query. Thanks.

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  • Replacing backslashes in Python strings

    - by user323659
    I have some code to encrypt some strings in Python. Encrypted text is used as a parameter in some urls, but after encrypting, there comes backslashes in string and I cannot use single backslash in urllib2.urlopen. I cannot replace single backslash with double. For example: print cipherText '\t3-@\xab7+\xc7\x93H\xdc\xd1\x13G\xe1\xfb' print cipherText.replace('\\','\\\\') '\t3-@\xab7+\xc7\x93H\xdc\xd1\x13G\xe1\xfb' Also putting r in front of \ in replace statement did not worked. All I want to do is calling that kind of url: http://awebsite.me/main?param="\t3-@\xab7+\xc7\x93H\xdc\xd1\x13G\xe1\xfb" And also this url can be successfully called: http://awebsite.me/main?param="\\t3-@\\xab7+\\xc7\\x93H\\xdc\\xd1\\x13G\\xe1\\xfb" Any idea will be appreciated.

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  • database assignment

    - by eric
    Hi, Given the following table: CREATE TABLE T1 (A INTEGER NOT NULL); CREATE TABLE T3 (A SMALLINT NOT NULL); INSERT T1 VALUES (32768.5); SELECT * FROM T1; INSERT T3 SELECT * FROM T1; SELECT * FROM T3; What is the output of above query? If any error occured please declare the line of it?Explain your answer!

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  • How to SUM columns on multiple conditions in a GROUP BY

    - by David Liddle
    I am trying to return a list of Accounts with their Balances, Outcome and Income Account Transaction ------- ----------- AccountID TransactionID BankName AccountID Locale Amount Status Here is what I currently have. Could someone explain where I am going wrong? select a.ACCOUNT_ID, a.BANK_NAME, a.LOCALE, a.STATUS, sum(t1.AMOUNT) as BALANCE, sum(t2.AMOUNT) as OUTCOME, sum(t3.AMOUNT) as INCOME from ACCOUNT a left join TRANSACTION t1 on t1.ACCOUNT_ID = a.ACCOUNT_ID left join TRANSACTION t2 on t1.ACCOUNT_ID = a.ACCOUNT_ID and t2.AMOUNT < 0 left join TRANSACTION t3 on t3.ACCOUNT_ID = a.ACCOUNT_ID and t3.AMOUNT > 0 group by a.ACCOUNT_ID, a.BANK_NAME, a.LOCALE, a.[STATUS]

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  • C#/.NET Little Wonders: Tuples and Tuple Factory Methods

    - by James Michael Hare
    Once again, in this series of posts I look at the parts of the .NET Framework that may seem trivial, but can really help improve your code by making it easier to write and maintain.  This week, we look at the System.Tuple class and the handy factory methods for creating a Tuple by inferring the types. What is a Tuple? The System.Tuple is a class that tends to inspire a reaction in one of two ways: love or hate.  Simply put, a Tuple is a data structure that holds a specific number of items of a specific type in a specific order.  That is, a Tuple<int, string, int> is a tuple that contains exactly three items: an int, followed by a string, followed by an int.  The sequence is important not only to distinguish between two members of the tuple with the same type, but also for comparisons between tuples.  Some people tend to love tuples because they give you a quick way to combine multiple values into one result.  This can be handy for returning more than one value from a method (without using out or ref parameters), or for creating a compound key to a Dictionary, or any other purpose you can think of.  They can be especially handy when passing a series of items into a call that only takes one object parameter, such as passing an argument to a thread's startup routine.  In these cases, you do not need to define a class, simply create a tuple containing the types you wish to return, and you are ready to go? On the other hand, there are some people who see tuples as a crutch in object-oriented design.  They may view the tuple as a very watered down class with very little inherent semantic meaning.  As an example, what if you saw this in a piece of code: 1: var x = new Tuple<int, int>(2, 5); What are the contents of this tuple?  If the tuple isn't named appropriately, and if the contents of each member are not self evident from the type this can be a confusing question.  The people who tend to be against tuples would rather you explicitly code a class to contain the values, such as: 1: public sealed class RetrySettings 2: { 3: public int TimeoutSeconds { get; set; } 4: public int MaxRetries { get; set; } 5: } Here, the meaning of each int in the class is much more clear, but it's a bit more work to create the class and can clutter a solution with extra classes. So, what's the correct way to go?  That's a tough call.  You will have people who will argue quite well for one or the other.  For me, I consider the Tuple to be a tool to make it easy to collect values together easily.  There are times when I just need to combine items for a key or a result, in which case the tuple is short lived and so the meaning isn't easily lost and I feel this is a good compromise.  If the scope of the collection of items, though, is more application-wide I tend to favor creating a full class. Finally, it should be noted that tuples are immutable.  That means they are assigned a value at construction, and that value cannot be changed.  Now, of course if the tuple contains an item of a reference type, this means that the reference is immutable and not the item referred to. Tuples from 1 to N Tuples come in all sizes, you can have as few as one element in your tuple, or as many as you like.  However, since C# generics can't have an infinite generic type parameter list, any items after 7 have to be collapsed into another tuple, as we'll show shortly. So when you declare your tuple from sizes 1 (a 1-tuple or singleton) to 7 (a 7-tuple or septuple), simply include the appropriate number of type arguments: 1: // a singleton tuple of integer 2: Tuple<int> x; 3:  4: // or more 5: Tuple<int, double> y; 6:  7: // up to seven 8: Tuple<int, double, char, double, int, string, uint> z; Anything eight and above, and we have to nest tuples inside of tuples.  The last element of the 8-tuple is the generic type parameter Rest, this is special in that the Tuple checks to make sure at runtime that the type is a Tuple.  This means that a simple 8-tuple must nest a singleton tuple (one of the good uses for a singleton tuple, by the way) for the Rest property. 1: // an 8-tuple 2: Tuple<int, int, int, int, int, double, char, Tuple<string>> t8; 3:  4: // an 9-tuple 5: Tuple<int, int, int, int, double, int, char, Tuple<string, DateTime>> t9; 6:  7: // a 16-tuple 8: Tuple<int, int, int, int, int, int, int, Tuple<int, int, int, int, int, int, int, Tuple<int,int>>> t14; Notice that on the 14-tuple we had to have a nested tuple in the nested tuple.  Since the tuple can only support up to seven items, and then a rest element, that means that if the nested tuple needs more than seven items you must nest in it as well.  Constructing tuples Constructing tuples is just as straightforward as declaring them.  That said, you have two distinct ways to do it.  The first is to construct the tuple explicitly yourself: 1: var t3 = new Tuple<int, string, double>(1, "Hello", 3.1415927); This creates a triple that has an int, string, and double and assigns the values 1, "Hello", and 3.1415927 respectively.  Make sure the order of the arguments supplied matches the order of the types!  Also notice that we can't half-assign a tuple or create a default tuple.  Tuples are immutable (you can't change the values once constructed), so thus you must provide all values at construction time. Another way to easily create tuples is to do it implicitly using the System.Tuple static class's Create() factory methods.  These methods (much like C++'s std::make_pair method) will infer the types from the method call so you don't have to type them in.  This can dramatically reduce the amount of typing required especially for complex tuples! 1: // this 4-tuple is typed Tuple<int, double, string, char> 2: var t4 = Tuple.Create(42, 3.1415927, "Love", 'X'); Notice how much easier it is to use the factory methods and infer the types?  This can cut down on typing quite a bit when constructing tuples.  The Create() factory method can construct from a 1-tuple (singleton) to an 8-tuple (octuple), which of course will be a octuple where the last item is a singleton as we described before in nested tuples. Accessing tuple members Accessing a tuple's members is simplicity itself… mostly.  The properties for accessing up to the first seven items are Item1, Item2, …, Item7.  If you have an octuple or beyond, the final property is Rest which will give you the nested tuple which you can then access in a similar matter.  Once again, keep in mind that these are read-only properties and cannot be changed. 1: // for septuples and below, use the Item properties 2: var t1 = Tuple.Create(42, 3.14); 3:  4: Console.WriteLine("First item is {0} and second is {1}", 5: t1.Item1, t1.Item2); 6:  7: // for octuples and above, use Rest to retrieve nested tuple 8: var t9 = new Tuple<int, int, int, int, int, int, int, 9: Tuple<int, int>>(1,2,3,4,5,6,7,Tuple.Create(8,9)); 10:  11: Console.WriteLine("The 8th item is {0}", t9.Rest.Item1); Tuples are IStructuralComparable and IStructuralEquatable Most of you know about IComparable and IEquatable, what you may not know is that there are two sister interfaces to these that were added in .NET 4.0 to help support tuples.  These IStructuralComparable and IStructuralEquatable make it easy to compare two tuples for equality and ordering.  This is invaluable for sorting, and makes it easy to use tuples as a compound-key to a dictionary (one of my favorite uses)! Why is this so important?  Remember when we said that some folks think tuples are too generic and you should define a custom class?  This is all well and good, but if you want to design a custom class that can automatically order itself based on its members and build a hash code for itself based on its members, it is no longer a trivial task!  Thankfully the tuple does this all for you through the explicit implementations of these interfaces. For equality, two tuples are equal if all elements are equal between the two tuples, that is if t1.Item1 == t2.Item1 and t1.Item2 == t2.Item2, and so on.  For ordering, it's a little more complex in that it compares the two tuples one at a time starting at Item1, and sees which one has a smaller Item1.  If one has a smaller Item1, it is the smaller tuple.  However if both Item1 are the same, it compares Item2 and so on. For example: 1: var t1 = Tuple.Create(1, 3.14, "Hi"); 2: var t2 = Tuple.Create(1, 3.14, "Hi"); 3: var t3 = Tuple.Create(2, 2.72, "Bye"); 4:  5: // true, t1 == t2 because all items are == 6: Console.WriteLine("t1 == t2 : " + t1.Equals(t2)); 7:  8: // false, t1 != t2 because at least one item different 9: Console.WriteLine("t2 == t2 : " + t2.Equals(t3)); The actual implementation of IComparable, IEquatable, IStructuralComparable, and IStructuralEquatable is explicit, so if you want to invoke the methods defined there you'll have to manually cast to the appropriate interface: 1: // true because t1.Item1 < t3.Item1, if had been same would check Item2 and so on 2: Console.WriteLine("t1 < t3 : " + (((IComparable)t1).CompareTo(t3) < 0)); So, as I mentioned, the fact that tuples are automatically equatable and comparable (provided the types you use define equality and comparability as needed) means that we can use tuples for compound keys in hashing and ordering containers like Dictionary and SortedList: 1: var tupleDict = new Dictionary<Tuple<int, double, string>, string>(); 2:  3: tupleDict.Add(t1, "First tuple"); 4: tupleDict.Add(t2, "Second tuple"); 5: tupleDict.Add(t3, "Third tuple"); Because IEquatable defines GetHashCode(), and Tuple's IStructuralEquatable implementation creates this hash code by combining the hash codes of the members, this makes using the tuple as a complex key quite easy!  For example, let's say you are creating account charts for a financial application, and you want to cache those charts in a Dictionary based on the account number and the number of days of chart data (for example, a 1 day chart, 1 week chart, etc): 1: // the account number (string) and number of days (int) are key to get cached chart 2: var chartCache = new Dictionary<Tuple<string, int>, IChart>(); Summary The System.Tuple, like any tool, is best used where it will achieve a greater benefit.  I wouldn't advise overusing them, on objects with a large scope or it can become difficult to maintain.  However, when used properly in a well defined scope they can make your code cleaner and easier to maintain by removing the need for extraneous POCOs and custom property hashing and ordering. They are especially useful in defining compound keys to IDictionary implementations and for returning multiple values from methods, or passing multiple values to a single object parameter. Tweet Technorati Tags: C#,.NET,Tuple,Little Wonders

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  • OVM Templates: Oracle Solaris Container with Oracle Database 11gR2

    - by Roman Ivanov
    I am delighted to inform you that Oracle just made available new Oracle Solaris Virtual Machine (VM) Templates: Oracle Solaris Container with Oracle Database 11gR2. This VM Templates available for SPARC and x86 platforms. Both Oracle VM Templates based on encapsulating an Oracle Solaris 10 Container which can then be attached to SPARC or x86 system running Oracle Solaris 10 10/09 or later. Make sure your select correct SPARC or x86 platform. The download includes Oracle Solaris 10 10/09 Container Oracle Database 11gR2 pre-installed in the Container.

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  • IBM "per core" comparisons for SPECjEnterprise2010

    - by jhenning
    I recently stumbled upon a blog entry from Roman Kharkovski (an IBM employee) comparing some SPECjEnterprise2010 results for IBM vs. Oracle. Mr. Kharkovski's blog claims that SPARC delivers half the transactions per core vs. POWER7. Prior to any argument, I should say that my predisposition is to like Mr. Kharkovski, because he says that his blog is intended to be factual; that the intent is to try to avoid marketing hype and FUD tactic; and mostly because he features a picture of himself wearing a bike helmet (me too). Therefore, in a spirit of technical argument, rather than FUD fight, there are a few areas in his comparison that should be discussed. Scaling is not free For any benchmark, if a small system scores 13k using quantity R1 of some resource, and a big system scores 57k using quantity R2 of that resource, then, sure, it's tempting to divide: is  13k/R1 > 57k/R2 ? It is tempting, but not necessarily educational. The problem is that scaling is not free. Building big systems is harder than building small systems. Scoring  13k/R1  on a little system provides no guarantee whatsoever that one can sustain that ratio when attempting to handle more than 4 times as many users. Choosing the denominator radically changes the picture When ratios are used, one can vastly manipulate appearances by the choice of denominator. In this case, lots of choices are available for the resource to be compared (R1 and R2 above). IBM chooses to put cores in the denominator. Mr. Kharkovski provides some reasons for that choice in his blog entry. And yet, it should be noted that the very concept of a core is: arbitrary: not necessarily comparable across vendors; fluid: modern chips shift chip resources in response to load; and invisible: unless you have a microscope, you can't see it. By contrast, one can actually see processor chips with the naked eye, and they are a bit easier to count. If we put chips in the denominator instead of cores, we get: 13161.07 EjOPS / 4 chips = 3290 EjOPS per chip for IBM vs 57422.17 EjOPS / 16 chips = 3588 EjOPS per chip for Oracle The choice of denominator makes all the difference in the appearance. Speaking for myself, dividing by chips just seems to make more sense, because: I can see chips and count them; and I can accurately compare the number of chips in my system to the count in some other vendor's system; and Tthe probability of being able to continue to accurately count them over the next 10 years of microprocessor development seems higher than the probability of being able to accurately and comparably count "cores". SPEC Fair use requirements Speaking as an individual, not speaking for SPEC and not speaking for my employer, I wonder whether Mr. Kharkovski's blog article, taken as a whole, meets the requirements of the SPEC Fair Use rule www.spec.org/fairuse.html section I.D.2. For example, Mr. Kharkovski's footnote (1) begins Results from http://www.spec.org as of 04/04/2013 Oracle SUN SPARC T5-8 449 EjOPS/core SPECjEnterprise2010 (Oracle's WLS best SPECjEnterprise2010 EjOPS/core result on SPARC). IBM Power730 823 EjOPS/core (World Record SPECjEnterprise2010 EJOPS/core result) The questionable tactic, from a Fair Use point of view, is that there is no such metric at the designated location. At www.spec.org, You can find the SPEC metric 57422.17 SPECjEnterprise2010 EjOPS for Oracle and You can also find the SPEC metric 13161.07 SPECjEnterprise2010 EjOPS for IBM. Despite the implication of the footnote, you will not find any mention of 449 nor anything that says 823. SPEC says that you can, under its fair use rule, derive your own values; but it emphasizes: "The context must not give the appearance that SPEC has created or endorsed the derived value." Substantiation and transparency Although SPEC disclaims responsibility for non-SPEC information (section I.E), it says that non-SPEC data and methods should be accurate, should be explained, should be substantiated. Unfortunately, it is difficult or impossible for the reader to independently verify the pricing: Were like units compared to like (e.g. list price to list price)? Were all components (hw, sw, support) included? Were all fees included? Note that when tpc.org shows IBM pricing, there are often items such as "PROCESSOR ACTIVATION" and "MEMORY ACTIVATION". Without the transparency of a detailed breakdown, the pricing claims are questionable. T5 claim for "Fastest Processor" Mr. Kharkovski several times questions Oracle's claim for fastest processor, writing You see, when you publish industry benchmarks, people may actually compare your results to other vendor's results. Well, as we performance people always say, "it depends". If you believe in performance-per-core as the primary way of looking at the world, then yes, the POWER7+ is impressive, spending its chip resources to support up to 32 threads (8 cores x 4 threads). Or, it just might be useful to consider performance-per-chip. Each SPARC T5 chip allows 128 hardware threads to be simultaneously executing (16 cores x 8 threads). The Industry Standard Benchmark that focuses specifically on processor chip performance is SPEC CPU2006. For this very well known and popular benchmark, SPARC T5: provides better performance than both POWER7 and POWER7+, for 1 chip vs. 1 chip, for 8 chip vs. 8 chip, for integer (SPECint_rate2006) and floating point (SPECfp_rate2006), for Peak tuning and for Base tuning. For example, at the 8-chip level, integer throughput (SPECint_rate2006) is: 3750 for SPARC 2170 for POWER7+. You can find the details at the March 2013 BestPerf CPU2006 page SPEC is a trademark of the Standard Performance Evaluation Corporation, www.spec.org. The two specific results quoted for SPECjEnterprise2010 are posted at the URLs linked from the discussion. Results for SPEC CPU2006 were verified at spec.org 1 July 2013, and can be rechecked here.

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  • New Exadata, Exalogic, Exalytics Public References

    - by Javier Puerta
    CUSTOMER SUCCESS STORIES & SPOTLIGHTS AmerisourceBergen (US) Oracle Exadata, Oracle Advanced Compression, Oracle Advanced Customer Support Services, Oracle Active Data Guard Published: July 31, 2014 Guangzhou Municipal Human Resources and Social Security Bureau (China) Exalogic, Enterprise Mgr Published: July 31, 2014 Norfolk Southern Corp. (US) Oracle Exadata, Oracle Exalytics, Oracle Business Intelligence Suite, Enterprise Edition Published: July 30, 2014 TDC (Denmark) Oracle Exadata, Oracle ZFS Storage Appliance, SPARC T4-4, SPARC T4-1, Oracle Solaris, Oracle Consulting, Oracle Advanced Customer Support Services Published: July 30, 2014 Chosun Ilbo (Korea) Oracle Exadata, Oracle GoldenGate Published: July 29, 2014 GIA (Gemological Institute of America) (US), Exalogic, Exadata Published: July 25, 2014 City of Lakeland (US) Oracle Exadata, Oracle Active Data Guard, Oracle Partitioning, Oracle Tuning Pack, Oracle Enterprise Manager, Oracle Diagnostics Pack, Oracle Enterprise Service Bus, Oracle Advanced Customer Support Services, Oracle Platinum Services Published: July 15, 2014 Tech Mahindra (India) Oracle Exadata, SPARC T5-4, Oracle Solaris 11, PeopleSoft Human Resources, Oracle Advanced Customer Support Services Published: July 01, 2014

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  • Multiple Denial of Service vulnerabilities in libpng

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2007-5266 Denial of Service (DoS) vulnerability 4.3 PNG reference library (libpng) Solaris 10 SPARC: 137080-03 X86: 137081-03 Solaris 9 SPARC: 139382-02 114822-06 X86: 139383-02 Solaris 8 SPARC: 114816-04 X86: 114817-04 CVE-2007-5267 Denial of Service (DoS) vulnerability 4.3 CVE-2007-5268 Denial of Service (DoS) vulnerability 4.3 CVE-2007-5269 Denial of Service (DoS) vulnerability 5.0 CVE-2008-1382 Denial of Service (DoS) vulnerability 7.5 CVE-2008-3964 Denial of Service (DoS) vulnerability 4.3 CVE-2009-0040 Denial of Service (DoS) vulnerability 6.8 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • Technical Presentation: State of the LDom @ 3.1

    - by uwes
    Announcing a new technical presentation covering Oracle VM for SPARC on eSTEP portal. For those of you, who want to have a brief technical overview to OVM for SPARC (aka LDOMs) have a look into Stefan Hinker´s just finished presentation. Based on the current 3.1 release, Stefan covers the following topics: LDoms – Basics of the SPARC Hypervisor Partitioned Hardware – Virtualized PCIe Virtual IO Domain Configurations & Recommendations Management The presentation can be downloaded from eSTEP portal. URL: http://launch.oracle.com/ PIN: eSTEP_2011 The material can be found under tab eSTEP Download.

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  • Oracle Solaris Studio Express 6/10 and its Customer Feedback Program are now available

    - by pieter.humphrey
    Oracle Solaris Studio Express 6/10 and the Customer Feedback Program for it are now available. Oracle Solaris Studio Express 6/10 is available on Solaris 10 (SPARC, x86), OEL 5 (x86), RHEL 5 (x86), SuSE 11 (x86) today and will be available for OpenSolaris in the near future. New feature highlights since the last release include: C/C++/Fortran compiler optimizations for the latest UltraSPARC and SPARC64-based architectures such as UltraSPARC T2 and SPARC64 VII C/C++/Fortran compiler optimizations for the latest x86 architectures including the Intel Xeon 7500 processor series (Nehalem-EX) and the Intel Xeon 5600 processor series (Westmere-EP) Enhanced debugging and code coverage tooling Improved application profiling with the Performance Analyzer Updated IDE based on NetBeans 6.8 To find more information and download go to http://developers.sun.com/sunstudio/downloads/express/ To participate in the customer feedback program for Oracle Solaris Studio Express 6/10 go to http://developers.sun.com/sunstudio/customerfeedback/index.jsp Please get the word out, try out this new release and send us your feedback! Technorati Tags: developer,development,solaris,sparc,Oracle Solaris Studio,Solaris Studio,Sun Studio,oracle,otn del.icio.us Tags: developer,development,solaris,sparc,Oracle Solaris Studio,Solaris Studio,Sun Studio,oracle,otn

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  • Újabb Oracle TPC-H rekord 3 TB-on, a nem klaszterezett kategóriában

    - by Fekete Zoltán
    A TPC-H a döntéstámogatási, adattárházas, üzleti intelligencia rendszerek teljesítményét méri, www.tpc.org. Most a 3 TB-os méretben született új rekord a TPC-H teszten a non-clustered kategóriában az Oracle Database 11gR2-vel, Sun M9000 hardveren. „A nagy méretu rendszerekben elért TPC-H benchmark-rekordokkal az Oracle Database 11g továbbra is orzi vezeto helyét az adattárház-rendszerek között" - nyilatkozta Juan Loaiza, az Oracle rendszertechnológiáért felelos elso alelnöke. „Ez az eredmény bizonyítja, hogy az Oracle Database 11g és az Oracle Sun SPARC Enterprise M9000 kiszolgálója együttesen nagyteljesítményu alapot biztosít az ügyfelek adattárház-alkalmazásai számára." Az Oracle sajtóhír magyar nyelven: Az Oracle® Database 11g új világrekordot állított fel a Sun SPARC Enterprise M9000 kiszolgálón végzett három terabájtos fürtözés nélküli TPC-H sebességpróbán Az Oracle sajtóhír angol nyelven: Oracle® Database 11g Sets New World Record TPC-H Three Terabyte Non-Clustered Benchmark Result on Sun SPARC Enterprise M9000 Server

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  • Oracle Virtual Networking Partner Sales Playbook Now Available

    - by Cinzia Mascanzoni
    Oracle Virtual Networking Partner Sales Playbook now available to partners registered in OPN Server and Storage Systems Knowledge Zones. Equips you to sell, identify and qualify opportunities, pursue specific sales plays, and deliver competitive differentiation. Find out where you should plan to focus your resources, and how to broaden your offerings by leveraging the OPN Specialized enablement available to your organization. Playbook is accessible to member partners through the following Knowledge Zones: Sun x86 Servers, Sun Blade Servers, SPARC T-Series Servers, SPARC Enterprise High-End M-Series Servers, SPARC Enterprise Entry-Level and Midrange M-Series Servers, Oracle Desktop Virtualization, NAS Storage, SAN Storage, Sun Flash Storage, StorageTek Tape Storage.

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • Neue Marketing Kits für Hardware

    - by A&C Redaktion
    Zur Vertriebsunterstützung gibt es jetzt auch Oracle Marketing Kits in Deutsch für folgende Hardware-Lösungen: Server & Storage: Improve Database Capacity Management with Oracle Storage and Hybrid Columnar Compression Server & Storage: Accelerating Database Test & Development with Sun ZFS Storage Appliance Server & Storage: Upgrade SAN Storage to Oracle Pillar Axiom Server & Storage: SPARC Refresh with Oracle Solaris Operating System Server & Storage: SPARC Server Refresh: The Next Level of Datacenter Performance with Oracle’s New SPARC Servers Server & Storage: Oracle Server Virtualization Server & Storage: Oracle Desktop Virtualization

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  • New Marketing Assets Available

    - by swalker
    NEW translated demand generation materials available for the following Oracle Marketing Kits, designed to help partners generate sales around Oracle's solutions: Server & Storage: Improve Database Capacity Management with Oracle Storage and Hybrid Columnar Compression Server & Storage: Accelerating Database Test & Development with Sun ZFS Storage Appliance Server & Storage: Upgrade SAN Storage to Oracle Pillar Axiom Server & Storage: SPARC Refresh with Oracle Solaris Operating System Server & Storage: SPARC Server Refresh: The Next Level of Datacenter Performance with Oracle’s New SPARC Servers Server & Storage: Oracle Server Virtualization Server & Storage: Oracle Desktop Virtualization

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  • Neue Marketing Kits für Hardware

    - by A&C Redaktion
    Die Oracle Marketing-Kit sind ein beliebtes Instrument zur Vertriebsunterstützung. Stetig erweitert enthalten sie den Textentwurf für Emailing, Landigpad und ein Telemarketing-Script. Jetzt sind brandneue Kits u.a. in Deutsch für folgende Hardware-Lösungen verfügbar: Server & Storage: Improve Database Capacity Management with Oracle Storage and Hybrid Columnar Compression Server & Storage: Accelerating Database Test & Development with Sun ZFS Storage Appliance Server & Storage: Upgrade SAN Storage to Oracle Pillar Axiom Server & Storage: SPARC Refresh with Oracle Solaris Operating System Server & Storage: SPARC Server Refresh: The Next Level of Datacenter Performance with Oracle’s New SPARC Servers Server & Storage: Oracle Server Virtualization Server & Storage: Oracle Desktop Virtualization

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