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• Linq-to-sql Compiled Query is returning result from different DataContext

  - by Vladimir Kojic

  Compiled query: public static Func<OperationalDataContext, short, Machine> QueryMachineById = CompiledQuery.Compile((OperationalDataContext db, short machineID) => db.Machines.Where(m => m.MachineID == machineID).SingleOrDefault()); It looks like compiled query is caching Machine object and returning the same object even if query is called from new DataContext (I’m disposing DataContext in the service but I’m getting Machine from previous DataContext). I use POCOs and XML mapping. Revised: It looks like compiled query is returning result from new data context and it is not using the one that I passed in compiled-query. Therefore I can not reuse returned object and link it to another object obtained from datacontext thru non compiled queries. I’m using unit of work pattern : // First Call Using(new DataContext) { Machine from DataContext.Table == machine from cached query } // Do some work // Second Call is failing Using(new DataContext) { Machine from DataContext.Table <> machine from cached query }

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• Adding objects to LDAP via CGI

  - by musashiXXX

  I have a web form that collects information and submits it to a cgi that attempts to insert the data into LDAP. The problem is that I'm trying to use a variable with ::ldap::add and it's just not working. Here's the code: if {[string length env(QUERY_STRING)] != 0} { set handle [::ldap::connect localhost] set dn "cn=admin,dc=mycompany,dc=com" set pw "myPassword" ::ldap::bind $handle $dn $pw set dn "cn=[ncgi::value givenName] [ncgi::value sn],ou=people,dc=mycompany,dc=com" set formValues [ puts "cn {{[ncgi::value givenName] [ncgi::value sn]}}" puts "displayName [ncgi::value givenName] [ncgi::value sn]" foreach {key value} [ncgi::nvlist] { if {[string length $value] != 0} { puts "$key $value" } } puts "objectClass top" puts "objectClass person" puts "objectClass organizationalPerson" puts "objectClass inetOrgPerson" ] ::ldap::add $handle $dn { $formValues } ldap::unbind $handle } However, if I replace $formValues with the actual entries that I want to insert into LDAP, they get added just fine. I'm new to TCL so I wouldn't be surprised if there were some glaring errors in this snippet. Thanks in advance!

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• Trying to get MYLDAPAdmin working on Scientific Linux

  - by techsjs2012

  I am trying to get MYLDAPAdmin working on Scientific Linux. I downloaded it and installed it but I am getting the following message. It looks like my PHP is not setup for LDAP. Can someone help me? Missing required extension Your install of PHP appears to be missing LDAP support. Please install LDAP support before using phpLDAPadmin. (Dont forget to restart your web server afterwards) After adding php-ldap.. I am now getting this error Unable to connect to LDAP server dvldap01.uftwf Error: Can't contact LDAP server (-1) for user error Failed to Authenticate to server Invalid Username or Password.

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• Connecting to Active Directory Application Mode from Perl

  - by Khurram Aziz

  I am trying to connect to Active Directory Application Mode instance. The instance is conenctable from third party LDAP clients like Softerra LDAP Browser. But I am getting the following error when connecting from Perl Net::LDAP=HASH(0x876d8e4) sending: Net::LDAP=HASH(0x876d8e4) received: 30 84 00 00 00 A7 02 01 02 65 84 00 00 00 9E 0A 0........e...... 01 01 04 00 04 84 00 00 00 93 30 30 30 30 30 34 ..........000004 44 43 3A 20 4C 64 61 70 45 72 72 3A 20 44 53 49 DC: LdapErr: DSI 44 2D 30 43 30 39 30 36 32 42 2C 20 63 6F 6D 6D D-0C09062B, comm 65 6E 74 3A 20 49 6E 20 6F 72 64 65 72 20 74 6F ent: In order to 20 70 65 72 66 6F 72 6D 20 74 68 69 73 20 6F 70 perform this op 65 72 61 74 69 6F 6E 20 61 20 73 75 63 63 65 73 eration a succes 73 66 75 6C 20 62 69 6E 64 20 6D 75 73 74 20 62 sful bind must b 65 20 63 6F 6D 70 6C 65 74 65 64 20 6F 6E 20 74 e completed on t 68 65 20 63 6F 6E 6E 65 63 74 69 6F 6E 2E 2C 20 he connection., 64 61 74 61 20 30 2C 20 76 65 63 65 00 __ __ __ data 0, vece.` My directory structure is Partition: CN=Apps,DC=MyCo,DC=COM User exists as CN=myuser,CN=Apps,DC=MyCo,DC=COM I have couple of other entries of the custom class which I am interested to browse; those instances appear fine in ADSI Edit, Softerra LDAP Browser etc. I am new to Perl....My perl code is #!/usr/bin/perl use Net::LDAP; $ldap = Net::LDAP->new("127.0.0.1", debug => 2, user => "CN=myuser,CN=Apps,DC=MyCo,DC=COM", password => "secret" ) or die "$@"; $ldap->bind(version => 3) or die "$@"; print "Connected to ldap\n"; $mesg = $ldap->search( filter => "(objectClass=*)" ) or die ("Failed on search.$!"); my $max = $mesg->count; print "$max records found!\n"; for( my $index = 0 ; $index < $max ; $index++) { my $entry = $mesg->entry($index); my $dn = $entry->dn; @attrs = $entry->attributes; foreach my $var (@attrs) { $attr = $entry->get_value( $var, asref => 1 ); if ( defined($attr) ) { foreach my $value ( @$attr ) { print "$var: $value\n"; } } } } $ldap->unbind();

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• Light-weight, free, database query tool for Windows?

  - by NoCatharsis

  My question is very similar to the one here except pertaining to a Windows tool. I am also referencing this table and what I found here with a Google search. However, I have no idea which tool would best meet my (very basic) purposes. I am currently using Excel with a basic ODBC connection string to query my database at work. However, Excel is pretty memory-heavy and a basic query tends to throw my computer into a 30 second stall-a-thon. Is there a free tool out there that is light-weight and can serve the same purpose when provided an ODBC connection and a SQL query? Also would prefer that it easily copies over to a spreadsheet as needed.

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• Visual Query Builder

  - by johnnyArt

  If been using "dbForge Query Builder" lately and I'm gotten used to the ease of building and testing a query, specially for those complex ones with inner joins, aliases and multiple conditionals. The expiry date of the trial is about to come, and while wanting to remain on the legal side for this I'd rather not pay the 50USD it costs (although I must say it's pretty cheap for what it does). So my question would be: Are there any free alternatives to replace this visual query builder? I've failed to find any and fear that my only two options are paying for it, or going to the dark side.

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• How do I set up disk quotas over LDAP on CentOs?

  - by Noxshun

  I've been google-ing for some time and I haven't been able to find any resources or hints on the subject. I am wondering if it is possible to do so, if so how? Any nudge in right direction will be appricated. I do know that if you download and install "Linux Quota" from source, you'll get some perl scripts which are supposed to aid with the matter. But there is as far as I know absolutely no good documentation to help you along the way. I am also running a NFS server from the same machine. Note: This is for a university assignment, so I might be totally stupid for asking this question. I am trying to explore the options. If there is a better way of solving this, please do tell. Edit: Here is a link to the site of Linux Quota. They do include a LDAP schema, so it should be possible.

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• Query optimization using composite indexes

  - by xmarch

  Many times, during the process of creating a new Coherence application, developers do not pay attention to the way cache queries are constructed; they only check that these queries comply with functional specs. Later, performance testing shows that these perform poorly and it is then when developers start working on improvements until the non-functional performance requirements are met. This post describes the optimization process of a real-life scenario, where using a composite attribute index has brought a radical improvement in query execution times.  The execution times went down from 4 seconds to 2 milliseconds! E-commerce solution based on Oracle ATG – Endeca In the context of a new e-commerce solution based on Oracle ATG – Endeca, Oracle Coherence has been used to calculate and store SKU prices. In this architecture, a Coherence cache stores the final SKU prices used for Endeca baseline indexing. Each SKU price is calculated from a base SKU price and a series of calculations based on information from corporate global discounts. Corporate global discounts information is stored in an auxiliary Coherence cache with over 800.000 entries. In particular, to obtain each price the process needs to execute six queries over the global discount cache. After the implementation was finished, we discovered that the most expensive steps in the price calculation discount process were the global discounts cache query. This query has 10 parameters and is executed 6 times for each SKU price calculation. The steps taken to optimise this query are described below; Starting point Initial query was: String filter = "levelId = :iLevelId AND  salesCompanyId = :iSalesCompanyId AND salesChannelId = :iSalesChannelId "+ "AND departmentId = :iDepartmentId AND familyId = :iFamilyId AND brand = :iBrand AND manufacturer = :iManufacturer "+ "AND areaId = :iAreaId AND endDate >=  :iEndDate AND startDate <= :iStartDate"; Map<String, Object> params = new HashMap<String, Object>(10); // Fill all parameters. params.put("iLevelId", xxxx); // Executing filter. Filter globalDiscountsFilter = QueryHelper.createFilter(filter, params); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); Set applicableDiscounts = globalDiscountsCache.entrySet(globalDiscountsFilter); With the small dataset used for development the cache queries performed very well. However, when carrying out performance testing with a real-world sample size of 800,000 entries, each query execution was taking more than 4 seconds. First round of optimizations The first optimisation step was the creation of separate Coherence index for each of the 10 attributes used by the filter. This avoided object deserialization while executing the query. Each index was created as follows: globalDiscountsCache.addIndex(new ReflectionExtractor("getXXX" ) , false, null); After adding these indexes the query execution time was reduced to between 450 ms and 1s. However, these execution times were still not good enough.  Second round of optimizations In this optimisation phase a Coherence query explain plan was used to identify how many entires each index reduced the results set by, along with the cost in ms of executing that part of the query. Though the explain plan showed that all the indexes for the query were being used, it also showed that the ordering of the query parameters was "sub-optimal".  Parameters associated to object attributes with high-cardinality should appear at the beginning of the filter, or more specifically, the attributes that filters out the highest of number records should be placed at the beginning. But examining corporate global discount data we realized that depending on the values of the parameters used in the query the “good” order for the attributes was different. In particular, if the attributes brand and family had specific values it was more optimal to have a different query changing the order of the attributes. Ultimately, we ended up with three different optimal variants of the query that were used in its relevant cases: String filter = "brand = :iBrand AND familyId = :iFamilyId AND departmentId = :iDepartmentId AND levelId = :iLevelId "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; String filter = "familyId = :iFamilyId AND departmentId = :iDepartmentId AND levelId = :iLevelId AND brand = :iBrand "+ "AND manufacturer = :iManufacturer AND endDate >=  :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId  AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; String filter = "brand = :iBrand AND departmentId = :iDepartmentId AND familyId = :iFamilyId AND levelId = :iLevelId "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; Using the appropriate query depending on the value of brand and family parameters the query execution time dropped to between 100 ms and 150 ms. But these these execution times were still not good enough and the solution was cumbersome. Third and last round of optimizations The third and final optimization was to introduce a composite index. However, this did mean that it was not possible to use the Coherence Query Language (CohQL), as composite indexes are not currently supporte in CohQL. As the original query had 8 parameters using EqualsFilter, 1 using GreaterEqualsFilter and 1 using LessEqualsFilter, the composite index was built for the 8 attributes using EqualsFilter. The final query had an EqualsFilter for the multiple extractor, a GreaterEqualsFilter and a LessEqualsFilter for the 2 remaining attributes.  All individual indexes were dropped except the ones being used for LessEqualsFilter and GreaterEqualsFilter. We were now running in an scenario with an 8-attributes composite filter and 2 single attribute filters. The composite index created was as follows: ValueExtractor[] ve = { new ReflectionExtractor("getSalesChannelId" ), new ReflectionExtractor("getLevelId" ),    new ReflectionExtractor("getAreaId" ), new ReflectionExtractor("getDepartmentId" ),    new ReflectionExtractor("getFamilyId" ), new ReflectionExtractor("getManufacturer" ),    new ReflectionExtractor("getBrand" ), new ReflectionExtractor("getSalesCompanyId" )}; MultiExtractor me = new MultiExtractor(ve); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); globalDiscountsCache.addIndex(me, false, null); And the final query was: ValueExtractor[] ve = { new ReflectionExtractor("getSalesChannelId" ), new ReflectionExtractor("getLevelId" ),    new ReflectionExtractor("getAreaId" ), new ReflectionExtractor("getDepartmentId" ),    new ReflectionExtractor("getFamilyId" ), new ReflectionExtractor("getManufacturer" ),    new ReflectionExtractor("getBrand" ), new ReflectionExtractor("getSalesCompanyId" )}; MultiExtractor me = new MultiExtractor(ve); // Fill composite parameters.String SalesCompanyId = xxxx;...AndFilter composite = new AndFilter(new EqualsFilter(me,                   Arrays.asList(iSalesChannelId, iLevelId, iAreaId, iDepartmentId, iFamilyId, iManufacturer, iBrand, SalesCompanyId)),                                     new GreaterEqualsFilter(new ReflectionExtractor("getEndDate" ), iEndDate)); AndFilter finalFilter = new AndFilter(composite, new LessEqualsFilter(new ReflectionExtractor("getStartDate" ), iStartDate)); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); Set applicableDiscounts = globalDiscountsCache.entrySet(finalFilter);      Using this composite index the query improved dramatically and the execution time dropped to between 2 ms and  4 ms.  These execution times completely met the non-functional performance requirements . It should be noticed than when using the composite index the order of the attributes inside the ValueExtractor was not relevant.

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• Problem in HQL query

  - by Rupeshit

  I written a query in my sql like this: "select * from table_name order by col_name = 101 desc " Which is working perfectly fine in mysql but when I tried to convert this query into HQl query then it is throwing an exception.So can anyone suggest me that how to write HQL query for the above SQL query.

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• SQLAlchemy custom query column

  - by thrillerator

  I have a declarative table defined like this: class Transaction(Base): __tablename__ = "transactions" id = Column(Integer, primary_key=True) account_id = Column(Integer) transfer_account_id = Column(Integer) amount = Column(Numeric(12, 2)) ... The query should be: SELECT id, (CASE WHEN transfer_account_id=1 THEN -amount ELSE amount) AS amount FROM transactions WHERE account_id = 1 OR transfer_account_id = 1 My code is: query = Transaction.query.filter_by(account_id=1, transfer_account_id=1) query = query.add_column(func.case(...).label("amount") But it doesn't replace the amount column. Been trying to do this with for hours and I don't want to use raw SQL.

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• how to design the query for non-sql database

  - by Benny

  can anyone give some reference for non-sql database query interface design pattern? For sql-based database, the query can be achieved by combining the query token. but for non-sql, how to design the query, given that the query could be very complex.

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• Active Directory: User UPN or DN for NTLM name, using pure LDAP?

  - by Bernd Haug

  I have a Java app that can authenticate to LDAP by logging users into the AD LDAP server with the NTLM name (which they are used to - this is a requirement). I now also need to do authorization, and hence need to find a forest-unique identifier for the user (DN or UPN should work), from which I can further query the directory. The method needs to be absolutely portable, even if the AD is structured in an unusual fashion, otherwise I could just do a string replacement and search for a UPN of "${ntlm-user}@${ntlm-domain}.${configured-trailing-domain}" How can I do this, using pure LDAP? Currently, I'm using the java.naming.directory package, which I'd like to keep using, since it doesn't throw up problems when not binding with a DN but logging in with an NTLM name?

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• SQL SERVER – Identify Most Resource Intensive Queries – SQL in Sixty Seconds #028 – Video

  - by pinaldave

  During performance tuning conversation the very first question people often ask is what are the queries offending the server or in another word let us identify the queries which are the most resource intensive. The resources are often described as either Memory, CPU or IO. When we talk about the queries the same is applicable for them as well. The query which is doing lots of reads or writes are for sure resource intensive as well query which are taking maximum CPU time. Performance tuning is a very deep subject and we all have our own preference regarding what should be the first step to tuning and what should be looked with the salt of grain. Though there is no denying that a query which uses more resources than what it should be using for sure require tuning. There are many ways to do identify query using intense resources (e.g. Extended events etc) but in this one we will go by simple DMV. There is a small gotcha we all have to remember about usage of DMV is that it only brings back results from existing cache. So if you have a query which is very resource intensive but is not cached or if you have explicitly removed the query from the cache it will be not part of the result returned by this DMV. It is quite possible that a query is aged and removed from the cache if your cache is not huge. If your cache is large you may want to be careful in running this query during business hours as this query itself can be resource intensive. Get Script to identify resource intensive query from Here Related Tips in SQL in Sixty Seconds: SQL SERVER – Find Most Expensive Queries Using DMV Simple Example to Configure Resource Governor – Introduction to Resource Governor SQL SERVER – DMV – sys.dm_exec_query_optimizer_info – Statistics of Optimizer SQL SERVER – Wait Stats – Wait Types – Wait Queues – Day 0 of 28 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video Tagged: Excel

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• Query Months help

  - by StealthRT

  Hey all i am in need of some helpful tips/advice on how to go about my problem. I have a database that houses a "signup" table. The date for this table is formated as such: 2010-04-03 00:00:00 Now suppose i have 10 records in this database: 2010-04-03 00:00:00 2010-01-01 00:00:00 2010-06-22 00:00:00 2010-02-08 00:00:00 2010-02-05 00:00:00 2010-03-08 00:00:00 2010-09-29 00:00:00 2010-11-16 00:00:00 2010-04-09 00:00:00 2010-05-21 00:00:00 And i wanted to get each months total registers... so following the example above: Jan = 1 Feb = 2 Mar = 1 Apr = 2 May = 1 Jun = 1 Jul = 0 Aug = 0 Sep = 1 Oct = 0 Nov = 1 Dec = 0 Now how can i use a query to do that but not have to use a query like: WHERE left(date, 7) = '2010-01' and keep doing that 12 times? I would like it to be a single query call and just have it place the months visits into a array like so: do until EOF theMonthArray[0] = "total for jan" theMonthArray[1] = "total for feb" theMonthArray[2] = "total for mar" theMonthArray[3] = "total for apr" ...etc loop I just can not think of a way to do that other than the example i posted with the 12 query called-one for each month. This is my query as of right now. Again, this only populates for one month where i am trying to populate all 12 months all at once. SELECT count(idNumber) as numVisits, theAccount, signUpDate, theActive from userinfo WHERE theActive = 'YES' AND idNumber = '0203' AND theAccount = 'SUB' AND left(signUpDate, 7) = '2010-04' GROUP BY idNumber ORDER BY numVisits; The example query above outputs this: numVisits | theAccount | signUpDate | theActive 2 SUB 2010-04-16 00:00:00 YES Which is correct because i have 2 records within the month of April. But again, i am trying to do all 12 months at one time (in a single query) so i do not tax the database server as much when compared to doing 12 different query's... UPDATE I'm looking to do something like along these lines: if NOT rst.EOF if left(rst("signUpDate"), 7) = "2010-01" then theMonthArray[0] = rst("numVisits") end if if left(rst("signUpDate"), 7) = "2010-02" then theMonthArray[1] = rst("numVisits") end if etc etc.... end if Any help would be great! :) David

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• Python ldap AttributeError

  - by jenny

  Hi guys, I have an python error AttributeError: 'module' object has no attribute 'initialize' I am running Python 2.6.2 on Solaris 10 UNIX and recently installed the pythonldap 2.3.9. The script is very basic, only has these 2 lines. Can anyone tell me why?? Traceback error below. #!/usr/local/bin/python import ldap, sys con = ldap.initialize('ldap://localhost') Traceback (most recent call last): File "./myldap.py", line 5, in con = ldap.initialize('ldap://localhost') AttributeError: 'module' object has no attribute 'initialize' Regards, Jenny

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• Is there a way to optimize this mysql query...?

  - by SpikETidE

  Hi Everyone... Say, I got these two tables.... Table 1 : Hotels hotel_id hotel_name 1 abc 2 xyz 3 efg Table 2 : Payments payment_id payment_date hotel_id total_amt comission p1 23-03-2010 1 100 10 p2 23-03-2010 2 50 5 p3 23-03-2010 2 200 25 p4 23-03-2010 1 40 2 Now, I need to get the following details from the two tables Given a particular date (say, 23-03-2010), the sum of the total_amt for each of the hotel for which a payment has been made on that particular date. All the rows that has the date 23-03-2010 ordered according to the hotel name A sample output is as follows... +------------+------------+------------+---------------+ | hotel_name | date | total_amt | commission | +------------+------------+------------+---------------+ | * abc | 23-03-2010 | 140 | 12 | +------------+------------+------------+---------------+ |+-----------+------------+------------+--------------+| || paymt_id | date | total_amt | commission || |+-----------+------------+------------+--------------+| || p1 | 23-03-2010 | 100 | 10 || |+-----------+------------+------------+--------------+| || p4 | 23-03-2010 | 40 | 2 || |+-----------+------------+------------+--------------+| +------------+------------+------------+---------------+ | * xyz | 23-03-2010 | 250 | 30 | +------------+------------+------------+---------------+ |+-----------+------------+------------+--------------+| || paymt_id | date | total_amt | commission || |+-----------+------------+------------+--------------+| || p2 | 23-03-2010 | 50 | 5 || |+-----------+------------+------------+--------------+| || p3 | 23-03-2010 | 200 | 25 || |+-----------+------------+------------+--------------+| +------------------------------------------------------+ Above the sample of the table that has to be printed... The idea is first to show the consolidated detail of each hotel, and when the '*' next to the hotel name is clicked the breakdown of the payment details will become visible... But that can be done by some jquery..!!! The table itself can be generated with php... Right now i am using two separate queries : One to get the sum of the amount and commission grouped by the hotel name. The next is to get the individual row for each entry having that date in the table. This is, of course, because grouping the records for calculating sum() returns only one row for each of the hotel with the sum of the amounts... Is there a way to combine these two queries into a single one and do the operation in a more optimized way...?? Hope i am being clear.. Thanks for your time and replies...

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• MS Query returns data inside itself but does not export it to Excel

  - by kappa

  Hi, I'm having a strange problem with Excel and MS Query: I'm using MS Query to run a T-SQL query against a Microsoft SQL Server 2000 and return the results to Excel. To do this, I open Excel, go to Data - Import external data - New database query, select my data source, paste the SQL script in MS Query and click File - Return data to Microsoft Office Excel, leaving all the query options to their defaults. This works fine for many other Excel files, but this time although MS Query shows the correct data when I paste the SQL script, after returning to Excel all I get is the query name in the upper left cell, with no data returned. I fear the cause could be the SQL script, as it contains some advanced functions like union all, UDFs and variables. Here's the script: declare @date smalldatetime set @date = dateadd(day, datediff(day, 0, getdate()), 0) select [date], sum([hours]) as [hours] from ( select [date], [hours] from [server].[dbo].[udf] (84, '2010-01-01', @date) union all select [date], [hours] from [server].[dbo].[udf] (89, '2010-01-01', @date) union all select [date], [hours] from [server].[dbo].[udf] (93, '2010-01-01', @date) ) as [a] group by [date] order by [date] asc I can't get rid of the UDF as inside them are done advanced groupings involving cursors and temporary tables, nor I can remove the variable as the UDF won't accept dateadd(day, datediff(day, 0, getdate()), 0) as parameter. Any ideas? Thanks in advance, Andrea.

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• How can I make Mac OS X Address Book display a person’s home address from an LDAP server?

  - by Arcturus

  Hi, (I've posted this question on Stack Overflow first, but someone told me it belonged here.) I have a custom LDAP server, which I can customize to generate whichever object class and attributes I need. I'm trying to display people from that server in the Mac OS X address book. Names and organizations display correctly, as well as work-related phone and address. However, I've never been able to have a home address displayed in the address book. This is an example of output from running a ldapsearch: # extended LDIF # # LDAPv3 # base <dc=example,dc=com> with scope subtree # filter: (givenName=Joh*) # requesting: ALL # # 10041, example.com dn: uid=10041,dc=example,dc=com objectclass: top objectclass: person objectclass: organizationalPerson objectclass: inetOrgPerson objectclass: mozillaOrgPerson uid: 10041 cn: John Doe givenName: John sn: Doe o: Acme telephoneNumber: 500 00 00 mobile: 500 00 00 mail: [email protected] street: Baker St postalCode: 10098 l: New York c: US homePostalAddress: White St mozillaHomePostalCode: 10098 mozillaHomeLocalityName: New York mozillaHomeCountryName: US # search result search: 2 result: 0 Success # numResponses: 2 # numEntries: 1 Every piece of information shows up in the address book up to here: homePostalAddress: White St mozillaHomePostalCode: 10098 mozillaHomeLocalityName: New York mozillaHomeCountryName: US Which object class or attribute name should I use to have the home address show up in the Mac OS X address book?

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• error in auth.log but can login; LDAP/PAM

  - by Peter

  I have a server running OpenLDAP. When I start a ssh-session I can log in without problems, but an error appears in the logs. This only happens when I log in with a LDAP account (so not with a system account such as root). Any help to eliminate these errors would be much appreciated. The relevant piece from /var/log/auth.log sshd[6235]: pam_unix(sshd:auth): authentication failure; logname= uid=0 euid=0 tty=ssh ruser= rhost=example.com user=peter sshd[6235]: Accepted password for peter from 192.168.1.2 port 2441 ssh2 sshd[6235]: pam_unix(sshd:session): session opened for user peter by (uid=0) pam common-session session [default=1] pam_permit.so session required pam_unix.so session optional pam_ldap.so session required pam_mkhomedir.so skel=/etc/skel umask=0022 session required pam_limits.so session required pam_unix.so session optional pam_ldap.so pam common-auth auth [success=1 default=ignore] pam_ldap.so auth required pam_unix.so nullok_secure use_first_pass auth required pam_permit.so session required pam_mkhomedir.so skel=/etc/skel umask=0022 silent auth sufficient pam_unix.so nullok_secure use_first_pass auth requisite pam_succeed_if.so uid >= 1000 quiet auth sufficient pam_ldap.so use_first_pass auth required pam_deny.so pam common-account account [success=2 new_authtok_reqd=done default=ignore] pam_ldap.so account [success=1 default=ignore] pam_unix.so account required pam_unix.so account sufficient pam_succeed_if.so uid < 1000 quiet account [default=bad success=ok user_unknown=ignore] pam_ldap.so account required pam_permit.so account sufficient pam_ldap.so account sufficient pam_unix.so

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• Is there a word or description for this type of query?

  - by Nick

  We have the requirement to find a result in a collection of records based on a prioritised set of search criteria against a relational db (I'm talking indexed field matching here rather than text search). The way we are thinking about designing the query is to begin with a highly refined and specific set of criteria. If there are no results for this initial query we want to progressively reduce the criteria one by one in order of reducing priority, querying each time such a less specific set of criteria until we find a result we can accept. Alternatively, we have considered starting with a smaller set of criteria and increasing until we have reduced number of results down to the last set. What I would like to know is if an existing term to describe this type of query exists? So that we can look to model our own on existing patterns and use best practice.

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• How do I get a server-side count on an LDAP query from Sun Java System Directory Server?

  - by cubetwo1729

  I wish to count the number of objects returned from a query (but I do not need the actual objects themselves) from Sun Java System Directory Server 5.2. E.g., if I want to find all people with surname Smith, I would want something like ldapsearch -LLL -H ldaps://example.com -b "ou=people,dc=example,dc=com" "sn=Smith" but with some sort of count. Is this possible without returning all of the results?

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• Openldap/Sasl/GSSAPI on Debian: Key table entry not found

  - by badbishop

  The goal: to make an OpenLDAP server to authenticate using Kerberos V via GSSAPI Setup: several virtual machines running on freshly installed/updated Debian Squeeze A master KDC server kdc.example.com A LDAP server, running OpenLDAP ldap.example.com The problem: tom@ldap:~$ ldapsearch -b 'dc=example,dc=com' SASL/GSSAPI authentication started ldap_sasl_interactive_bind_s: Other (e.g., implementation specific) error (80) additional info: SASL(-1): generic failure: GSSAPI Error: Unspecified GSS failure. Minor code may provide more information (Key table entry not found) One might suggest to add that bloody keytab entry, but here's the real problem: ktutil: rkt /etc/ldap/ldap.keytab ktutil: list slot KVNO Principal ---- ---- --------------------------------------------------------------------- 1 2 ldap/[email protected] 2 2 ldap/[email protected] 3 2 ldap/[email protected] 4 2 ldap/[email protected] So, the entry as suggested by the OpenLDAP manual is there allright. Deleting and re-creating both service principal and the keytab on ldap.example.com didn't help, I get the same error. And before I make the keytab file readable by openldap, I get "Permission denied" error instead of the one in the subject. Which implies, that the right keytab file is being accessed, as set in /etc/default/slapd. I have my doubts about the following part of slapd config: root@ldap:~# cat /etc/ldap/slapd.d/cn\=config.ldif | grep -v "^#" dn: cn=config objectClass: olcGlobal cn: config olcArgsFile: /var/run/slapd/slapd.args olcLogLevel: 256 olcPidFile: /var/run/slapd/slapd.pid olcToolThreads: 1 structuralObjectClass: olcGlobal entryUUID: d6737f5c-d321-1030-9dbe-27d2a7751e11 olcSaslHost: kdc.example.com olcSaslRealm: EXAMPLE.COM olcSaslSecProps: noplain,noactive,noanonymous,minssf=56 olcAuthzRegexp: {0}"uid=([^/]*),cn=EXAMPLE.COM,cn=GSSAPI,cn=auth" "uid=$1,ou=People,dc=example,dc=com" olcAuthzRegexp: {1}"uid=host/([^/]*).example.com,cn=example.com,cn=gssapi,cn=auth" "cn=$1,ou=hosts,dc=example,dc=com" A HOWTO at https://help.ubuntu.com/community/OpenLDAPServer#Kerberos_Authentication mentiones vaguely: Also, it is frequently necessary to map the Distinguished Name (DN) of an authorized Kerberos client to an existing entry in the DIT. I fail to understand where in the tree this should be defined, what schema should be used, etc. After hours of googling, it's official: I'm stuck! Please, help. Other things checked: Kerberos as such works fine (I can ssh without using a password to any machine in this setup). That means there should be no DNS-related problems. ldapsearch -b 'dc=example,dc=com' -x works OK. SASL/GSSAPI has been tested using sasl-sample-server -m GSSAPI -s ldap and sasl-sample-client -s ldap -n ldap.example.com -u tom without errors: root@ldap:~# sasl-sample-server -m GSSAPI -s ldap Forcing use of mechanism GSSAPI Sending list of 1 mechanism(s) S: R1NTQVBJ Waiting for client mechanism... C: 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 'GSSAPI' Sending response... S: YIGZBgkqhkiG9xIBAgICAG+BiTCBhqADAgEFoQMCAQ+iejB4oAMCARKicQRvkxggi9pW+yJ1ExbTwLDclqw/VQ98aPq8mt39hkO6PPfcO2cB+t6vJ01xRKBrT9D2qF2XK0SWD4PQNb5UFbH4RM/bKAxDuCfZ1MHKgIWTLu4bK7VGZTbYydcckU2d910jIdvkkHhaRqUEM4cqp/cR Waiting for client reply... C: got '' Sending response... S: BQQF/wAMAAAAAAAAMBOWqQcACAAlCodrXW66ZObsEd4= Waiting for client reply... C: BQQE/wAMAAAAAAAAFUYbXQQACAB0b20VynB4uGH/iIzoRhw=got '?' Negotiation complete Username: tom Realm: (NULL) SSF: 56 sending encrypted message 'srv message 1' S: AAAASgUEB/8AAAAAAAAAADATlqrqrBW0NRfPMXMdMz+zqY32YakrHqFps3o/vO6yDeyPSaSqprrhI+t7owk7iOsbrZ/idJRxCBm8Wazx Waiting for encrypted message... C: AAAATQUEBv8AAAAAAAAAABVGG17WC1+/kIV9xTMUdq6Y4qYmmTahHVCjidgGchTOOOrBLEwA9IqiTCdRFPVbK1EgJ34P/vxMQpV1v4WZpcztgot '' recieved decoded message 'client message 1' root@ldap:~# sasl-sample-client -s ldap -n ldap.example.com -u tom service=ldap Waiting for mechanism list from server... S: R1NTQVBJrecieved 6 byte message Choosing best mechanism from: GSSAPI returning OK: tom Using mechanism GSSAPI Preparing initial. Sending initial response... C: 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 Waiting for server reply... S: YIGZBgkqhkiG9xIBAgICAG+BiTCBhqADAgEFoQMCAQ+iejB4oAMCARKicQRvkxggi9pW+yJ1ExbTwLDclqw/VQ98aPq8mt39hkO6PPfcO2cB+t6vJ01xRKBrT9D2qF2XK0SWD4PQNb5UFbH4RM/bKAxDuCfZ1MHKgIWTLu4bK7VGZTbYydcckU2d910jIdvkkHhaRqUEM4cqp/cRrecieved 156 byte message C: Waiting for server reply... S: BQQF/wAMAAAAAAAAMBOWqQcACAAlCodrXW66ZObsEd4=recieved 32 byte message Sending response... C: BQQE/wAMAAAAAAAAFUYbXQQACAB0b20VynB4uGH/iIzoRhw= Negotiation complete Username: tom SSF: 56 Waiting for encoded message... S: AAAASgUEB/8AAAAAAAAAADATlqrqrBW0NRfPMXMdMz+zqY32YakrHqFps3o/vO6yDeyPSaSqprrhI+t7owk7iOsbrZ/idJRxCBm8Wazxrecieved 78 byte message recieved decoded message 'srv message 1' sending encrypted message 'client message 1' C: AAAATQUEBv8AAAAAAAAAABVGG17WC1+/kIV9xTMUdq6Y4qYmmTahHVCjidgGchTOOOrBLEwA9IqiTCdRFPVbK1EgJ34P/vxMQpV1v4WZpczt

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• pam_ldap.so before pam_unix.so? Is it ever possible?

  - by user1075993

  we have a couple of servers with PAM+LDAP. The configuration is standard (see http://arthurdejong.org/nss-pam-ldapd/setup or http://wiki.debian.org/LDAP/PAM). For example, /etc/pam.d/common-auth contains: auth sufficient pam_unix.so nullok_secure auth requisite pam_succeed_if.so uid >= 1000 quiet auth sufficient pam_ldap.so use_first_pass auth requiered pam_deny.so And, of course, it works for both ldap and local users. But every login goes first to pam_unix.so, fails, and only then tries pam_ldap.so successfully. As a result, we have a well-known failure message for every single ldap user login: pam_unix(<some_service>:auth): authentication failure; logname= uid=0 euid=0 tty=ssh ruser= rhost=<some_host> user=<some_user> I have up to 60000 of such log messages per day and I want to change the configuration so, that PAM will try ldap authentication first, and only if it fails - try pam_unix.so (I think it can improve the i/o performance of the server). But if I change common-auth to the following: auth sufficient pam_ldap.so use_first_pass auth sufficient pam_unix.so nullok_secure auth requiered pam_deny.so Then I simply can't login anymore with local (non-ldap) user (e.g., via ssh). Does somebody knows the right configuration? Why Debian and nss-pam-ldapd have pam_unix.so at first by default? Is there really no way to change it? Thank you in advance. P.S. I don't want to disable logs, but want to set ldap authentication on the first place.

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• SQL SERVER – SQL in Sixty Seconds – 5 Videos from Joes 2 Pros Series – SQL Exam Prep Series 70-433

  - by pinaldave

  Joes 2 Pros SQL Server Learning series is indeed fun. Joes 2 Pros series is written for beginners and who wants to build expertise for SQL Server programming and development from fundamental. In the beginning of the series author Rick Morelan is not shy to explain the simplest concept of how to open SQL Server Management Studio. Honestly the book starts with that much basic but as it progresses further Rick discussing about various advanced concepts from query tuning to Core Architecture. This five part series is written with keeping SQL Server Exam 70-433. Instead of just focusing on what will be there in exam, this series is focusing on learning the important concepts thoroughly. This book no way take short cut to explain any concepts and at times, will go beyond the topic at length. The best part is that all the books has many companion videos explaining the concepts and videos. Every Wednesday I like to post a video which explains something in quick few seconds. Today we will go over five videos which I posted in my earlier posts related to Joes 2 Pros series. Introduction to XML Data Type Methods – SQL in Sixty Seconds #015 The XML data type was first introduced with SQL Server 2005. This data type continues with SQL Server 2008 where expanded XML features are available, most notably is the power of the XQuery language to analyze and query the values contained in your XML instance. There are five XML data type methods available in SQL Server 2008: query() – Used to extract XML fragments from an XML data type. value() – Used to extract a single value from an XML document. exist() – Used to determine if a specified node exists. Returns 1 if yes and 0 if no. modify() – Updates XML data in an XML data type. node() – Shreds XML data into multiple rows (not covered in this blog post). [Detailed Blog Post] | [Quiz with Answer] Introduction to SQL Error Actions – SQL in Sixty Seconds #014 Most people believe that when SQL Server encounters an error severity level 11 or higher the remaining SQL statements will not get executed. In addition, people also believe that if any error severity level of 11 or higher is hit inside an explicit transaction, then the whole statement will fail as a unit. While both of these beliefs are true 99% of the time, they are not true in all cases. It is these outlying cases that frequently cause unexpected results in your SQL code. To understand how to achieve consistent results you need to know the four ways SQL Error Actions can react to error severity levels 11-16: Statement Termination – The statement with the procedure fails but the code keeps on running to the next statement. Transactions are not affected. Scope Abortion – The current procedure, function or batch is aborted and the next calling scope keeps running. That is, if Stored Procedure A calls B and C, and B fails, then nothing in B runs but A continues to call C. @@Error is set but the procedure does not have a return value. Batch Termination – The entire client call is terminated. XACT_ABORT – (ON = The entire client call is terminated.) or (OFF = SQL Server will choose how to handle all errors.) [Detailed Blog Post] | [Quiz with Answer] Introduction to Basics of a Query Hint – SQL in Sixty Seconds #013 Query hints specify that the indicated hints should be used throughout the query. Query hints affect all operators in the statement and are implemented using the OPTION clause. Cautionary Note: Because the SQL Server Query Optimizer typically selects the best execution plan for a query, it is highly recommended that hints be used as a last resort for experienced developers and database administrators to achieve the desired results. [Detailed Blog Post] | [Quiz with Answer] Introduction to Hierarchical Query – SQL in Sixty Seconds #012 A CTE can be thought of as a temporary result set and are similar to a derived table in that it is not stored as an object and lasts only for the duration of the query. A CTE is generally considered to be more readable than a derived table and does not require the extra effort of declaring a Temp Table while providing the same benefits to the user. However; a CTE is more powerful than a derived table as it can also be self-referencing, or even referenced multiple times in the same query. A recursive CTE requires four elements in order to work properly: Anchor query (runs once and the results ‘seed’ the Recursive query) Recursive query (runs multiple times and is the criteria for the remaining results) UNION ALL statement to bind the Anchor and Recursive queries together. INNER JOIN statement to bind the Recursive query to the results of the CTE. [Detailed Blog Post] | [Quiz with Answer] Introduction to SQL Server Security – SQL in Sixty Seconds #011 Let’s get some basic definitions down first. Take the workplace example where “Tom” needs “Read” access to the “Financial Folder”. What are the Securable, Principal, and Permissions from that last sentence? A Securable is a resource that someone might want to access (like the Financial Folder). A Principal is anything that might want to gain access to the securable (like Tom). A Permission is the level of access a principal has to a securable (like Read). [Detailed Blog Post] | [Quiz with Answer] Please leave a comment explain which one was your favorite video as that will help me understand what works and what needs improvement. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology, Video

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• Using Query Classes With NHibernate

  - by Liam McLennan

  Even when using an ORM, such as NHibernate, the developer still has to decide how to perform queries. The simplest strategy is to get access to an ISession and directly perform a query whenever you need data. The problem is that doing so spreads query logic throughout the entire application – a clear violation of the Single Responsibility Principle. A more advanced strategy is to use Eric Evan’s Repository pattern, thus isolating all query logic within the repository classes. I prefer to use Query Classes. Every query needed by the application is represented by a query class, aka a specification. To perform a query I: Instantiate a new instance of the required query class, providing any data that it needs Pass the instantiated query class to an extension method on NHibernate’s ISession type. To query my database for all people over the age of sixteen looks like this: [Test] public void QueryBySpecification() { var canDriveSpecification = new PeopleOverAgeSpecification(16); var allPeopleOfDrivingAge = session.QueryBySpecification(canDriveSpecification); } To be able to query for people over a certain age I had to create a suitable query class: public class PeopleOverAgeSpecification : Specification<Person> { private readonly int age; public PeopleOverAgeSpecification(int age) { this.age = age; } public override IQueryable<Person> Reduce(IQueryable<Person> collection) { return collection.Where(person => person.Age > age); } public override IQueryable<Person> Sort(IQueryable<Person> collection) { return collection.OrderBy(person => person.Name); } } Finally, the extension method to add QueryBySpecification to ISession: public static class SessionExtensions { public static IEnumerable<T> QueryBySpecification<T>(this ISession session, Specification<T> specification) { return specification.Fetch( specification.Sort( specification.Reduce(session.Query<T>()) ) ); } } The inspiration for this style of data access came from Ayende’s post Do You Need a Framework?. I am sick of working through multiple layers of abstraction that don’t do anything. Have you ever seen code that required a service layer to call a method on a repository, that delegated to a common repository base class that wrapped and ORMs unit of work? I can achieve the same thing with NHibernate’s ISession and a single extension method. If you’re interested you can get the full Query Classes example source from Github.

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