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• What are good NoSQL and non-relational database solutions for audit/logging database

  - by Juha Syrjälä

  What would be suitable database for following? I am especially interested about your experiences with non-relational NoSQL systems. Are they any good for this kind of usage, which system you have used and would recommend, or should I go with normal relational database (DB2)? I need to gather audit trail/logging type information from bunch of sources to a centralized server where I could generate reports efficiently and examine what is happening in the system. Typically a audit/logging event would consist always of some mandatory fields, for example globally unique id (some how generated by program that generated this event) timestamp event type (i.e. user logged in, error happened etc) some information about source (server1, server2) Additionally the event could contain 0-N key-value pairs, where value might be up to few kilobytes of text. It must run on Linux server It should work with high amount of data (100GB for example) it should support some kind of efficient full text search It should allow concurrent reading and writing It should be flexible to add new event types and add/remove key-value pairs to new events. Flexible=no changes should be required to database schema, application generating the events can just add new event types/new fields as needed. it should be efficient to make queries against database. For reporting and exploring what happened. For example: How many events with type=X occurred in some time period. Get all events where field A has value Y. Get all events with type X and field A has value 1 and field B is not 2 and event occurred in last 24h

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• Searching for flexible way to specify conenction string used by APS.NET membership

  - by bzamfir

  Hi, I develop an asp.net web application and I use ASP.NET membership provider. The application uses the membership schema and all required objects inside main application database However, during development I have to switch to various databases, for different development and testing scenarios. For this I have an external connection strings section file and also an external appsettings section, which allow me to not change main web.config but switch the db easily, by changing setting only in appsettings section. My files are as below: <connectionStrings configSource="connections.config"> </connectionStrings> <appSettings file="local.config"> .... ConnectionStrings looks as usual: <connectionStrings> <add name="MyDB1" connectionString="..." ... /> <add name="MyDB2" connectionString="..." ... /> .... </connectionStrings> And local.config as below <appSettings> <add key="ConnectionString" value="MyDB2" /> My code takes into account to use this connection string But membership settings in web.config contains the connection string name directly into the setting, like <add name="MembershipProvider" connectionStringName="MyDB2" ...> .... <add name="RoleProvider" connectionStringName="MyDB2" ...> Because of this, every time I have to edit them too to use the new db. Is there any way to config membership provider to use an appsetting to select db connection for membership db? Or to "redirect" it to read connection setting from somewhere else? Or at least to have this in some external file (like local.config) Maybe is some easy way to wrap asp.net membership provider intio my own provider which will just read connection string from where I want and pass it to original membership provider, and then just delegate the whole membership functionality to asp.net membership provider. Thanks.

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• Problem with JSONResult

  - by vikitor

  Hi, I' still newby to this so I'll try to explain what I'm doing. Basically what I want is to load a dropdownlist depending on the value of a previous one, and I want it to load the data and appear when the other one is changed. This is the code I've written in my controller: public ActionResult GetClassesSearch(bool ajax, string phylumID, string kingdom){ IList<TaxClass> lists = null; int _phylumID = int.Parse(phylumID); int _kingdom = int.Parse(kingdom); lists = _taxon.getClassByPhylumSearch(_phylumID, _kingdom); return Json(lists.count); } and this is how I call the method from the javascript function: function loadClasses(_phylum) { var phylum = _phylum.value; $.getJSON("/Suspension/GetClassesSearch/", { ajax: true, phylumID: phylum, kingdom: kingdom }, function(data) { alert(data); alert('no fallo') document.getElementById("pClass").style.display = "block"; document.getElementById("sClass").options[0] = new Option("-select-", "0", true, true); //for (i = 0; i < data.length; i++) { // $('#sClass').addOption(data[i].classID, data[i].className); //} }); } The thing is that just like this it works, I pass the function the number of classes within a selected phylum, and it displays the pclass element, the problem gets when I try to populate the slist with data (which should contain the objects retrieved from the database), because when there is data returned by the database changing return Json(lists) instead of return Json(lists.count) I keep getting the same error: A circular reference was detected while serializing an object of type 'SubSonic.Schema.DatabaseColumn'. I've been going round and round debugging and making tests but I can't make it work, and it is suppossed to be a simple thing, but I'm missing something. I have commented the for loop because I'm not quite sure if that's the way you access the data, because I've not been able to make it work when it finds records. Can anyone help me? Thanks in advance, Victor

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• (fluent) nhibernate conditional table mapping strategy

  - by grenade

  I have no control over database schema and have the following (simplified) table structure: CityProfile Id Name CountryProfile Id Name RegionProfile Id Name I have a .Net enum and class encapsulating the lot: public enum Scope { Region, Country, City } public class Profile { public Scope Scope { get; set; } public int Id { get; set; } public string Name { get; set; } } I am looking for a mechanism that allows me to map to the correct table, something like: public class ProfileMap : ClassMap<Profile> { public ProfileMap() { switch (x => x.Scope) { // <--Invalid code here! case Scope.City: Table("CityProfile"); break; case Scope.Country: Table("CountryProfile"); break; case Scope.Region: Table("RegionProfile"); break; } Id(x => x.Id); Map(x => x.Name); } } Or have I approached this wrong?

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• Pass table as parameter to SQLCLR TV-UDF

  - by Skeolan

  We have a third-party DLL that can operate on a DataTable of source information and generate some useful values, and we're trying to hook it up through SQLCLR to be callable as a table-valued UDF in SQL Server 2008. Taking the concept here one step further, I would like to program a CLR Table-Valued Function that operates on a table of source data from the DB. I'm pretty sure I understand what needs to happen on the T-SQL side of things; but, what should the method signature look like in the .NET (C#) code? What would be the parameter datatype for "table data from SQL Server?" e.g. /* Setup */ CREATE TYPE InTableType AS TABLE (LocationName VARCHAR(50), Lat FLOAT, Lon FLOAT) GO CREATE TYPE OutTableType AS TABLE (LocationName VARCHAR(50), NeighborName VARCHAR(50), Distance FLOAT) GO CREATE ASSEMBLY myCLRAssembly FROM 'D:\assemblies\myCLR_UDFs.dll' WITH PERMISSION_SET = EXTERNAL_ACCESS GO CREATE FUNCTION GetDistances(@locations InTableType) RETURNS OutTableType AS EXTERNAL NAME myCLRAssembly.GeoDistance.SQLCLRInitMethod GO /* Execution */ DECLARE @myTable InTableType INSERT INTO @myTable(LocationName, Lat, Lon) VALUES('aaa', -50.0, -20.0) INSERT INTO @myTable(LocationName, Lat, Lon) VALUES('bbb', -20.0, -50.0) SELECT * FROM @myTable DECLARE @myResult OutTableType INSERT INTO @myResult MyCLRTVFunction @myTable --returns a table result calculated using the input The lat/lon - distance thing is a silly example that should of course be better handled entirely in SQL; but I hope it illustrates the general intent of table-in - table-out through a table-valued UDF tied to a SQLCLR assembly. I am not certain this is possible; what would the SQLCLRInitMethod method signature look like in the C#? public class GeoDistance { [SqlFunction(FillRowMethodName = "FillRow")] public static IEnumerable SQLCLRInitMethod(<appropriateType> myInputData) { //... } public static void FillRow(...) { //... } } If it's not possible, I know I can use a "context connection=true" SQL connection within the C# code to have the CLR component query for the necessary data given the relevant keys; but that's sensitive to changes in the DB schema. So I hope to just have SQL bundle up all the source data and pass it to the function. Bonus question - assuming this works at all, would it also work with more than one input table?

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• CF9 HQL Statement for many-to-many and Multiple Criteria

  - by Jeremy Battle

  I have the following setup: Listing.cfc component persistent="true" { property name="ListingId" column="ListingId" type="numeric" ormtype="int" fieldtype="id" generator="identity"; ... property name="Features" type="array" hint="Array of features" singularname="Feature" fieldtype="many-to-many" cfc="Feature" linktable="Listing_Feature" FKColumn="ListingId" inversejoincolumn="FeatureId"; } Feature.cfc component persistent="true" table="Feature" schema="dbo" output="false" { property name="FeatureId" column="FeatureId" type="numeric" ormtype="int" fieldtype="id" generator="identity"; property name="FeatureDescription" column="FeatureDescription" type="string" ormtype="string"; ... /*property name="Listings" fieldtype="many-to-many" cfc="Listing" linktable="Listing_Feature" fkcolumn="FeatureId" inversejoincolumn="ListingId" lazy="true" cascade="all" orderby="GroupOrder";*/ } I can select all listings that have a particular feature using: <cfset matchingListings = ormExecuteQuery("from Listing l left join l.Features as feature where feature.FeatureId = :feature",{feature = 110}) /> Which is fine, however, I'd like to be able to select all listings that have multiple features (for example a listing that has both "Dishwasher" AND "Garage") After a couple hours of googling and looking through hibernate documentation haven't been able to find a solution that won't give me an error. My guess is that the solution is pretty simple and I am just over-thinking it...anyone have any suggestions?

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• Can YAML have inheritance?

  - by Jason

  This question involves a lot of symfony but it should be easy enough for someone to follow who only knows YAML and not symfony. My symfony models come from a three-step process: First, I create the tables in MySQL. Second, I run a symfony command (symfony doctrine:build-schema) to convert my table structure into a YAML file. Third, I run another symfony command (symfony doctrine:build-model) to convert the YAML file into PHP code. Here's the problem: there are some tables in the database that I don't want to end up in my symfony code. For example, let's say I have two tables: one called my_table and another called wordpress. The YAML file I end up with might look like this: MyTable: connection: doctrine tableName: my_table Wordpress: connection: doctrine tableName: wordpress That's great except the wordpress table has nothing to do with my symfony models. The result is that every single time I make a change to my database and generate this YAML file, I have to manually remove wordpress. It's annoying! I'd like to be able to create a file called baseConfig.php or something that looks like this: $config = array( 'MyTable' => array( 'connection' => 'doctrine', 'tableName' => 'my_table', ), 'Wordpress' => array( 'connection' => 'doctrine', 'tableName' => 'wordpress', ), ); And then I could have a separate file called config.php or something where I could make modifications to the base config: unset($config['Wordpress']); So my question is: is there any way to convert YAML into executable PHP code (as opposed to load YAML INTO PHP code like what sfYaml::load() does) to achieve this sort of thing? Or is there maybe some other way to achieve YAML inheritance? Thanks, Jason

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• Table design issues - should I create separate fields or store as a blob

  - by Ali

  Hi guys I'm working on my web based ordering system and we would like to maintain a kind of task history for each of our orders. A hsitory in the sense that we would like to maintain a log of who did what on an order like lets say an order has been entered - we would like to know if the order was acknowledged for an example. Or lets say somebody followed up on the order - etc. Consider that there are numerous situations like this for each order would it be wise to create a schema on the lines of: Orders ID - title - description - date - is_ack - is_follow - ack_by ..... That accounts to a lot of fields - on teh other hand I could have one LongText field called 'history' and fill it with a serialised object holding all the information. However in the latter case I can't run a query to lets say retrieve all orders that have not been acknowledged and stuff like that. With time requirements woudl change and I would be required to modify it to allow for more detailed tracking and that is why I need to set up a way which would be feasible to scale upon yet I don't want to be restricted on the SQL side too much.

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• Troubleshooting PG Function

  - by Grasper

  I have this function: CREATE OR REPLACE FUNCTION CREATE_AIRSPACE_AVAILABILITY_RECORD (cur_user VARCHAR, start_time VARCHAR, start_date VARCHAR, end_time VARCHAR, end_date VARCHAR, airspace_name VARCHAR) RETURNS VOID AS ' DECLARE c_user ALIAS for $1; BEGIN IF start_time IS NULL OR start_date IS NULL OR end_time IS NULL OR end_date IS NULL THEN INSERT INTO c_user.AIRSPACE_AVAILABILITY (ASP_AIRSPACE_NM, ASA_TIME_ID, ASA_START_DT, ASA_END_DT) SELECT airspace_name, 1, ABP.ABP_START_DT, ABP.ABP_STOP_DT FROM ABP WHERE EXISTS (SELECT ASP.ASP_AIRSPACE_NM FROM AIRSPACE ASP WHERE ASP.ASP_AIRSPACE_NM = airspace_name); ELSIF start_time IS NOT NULL AND start_date IS NOT NULL AND end_time IS NOT NULL AND end_date IS NOT NULL THEN INSERT INTO c_user.AIRSPACE_AVAILABILITY (ASP_AIRSPACE_NM, ASA_TIME_ID, ASA_START_DT, ASA_END_DT) SELECT airspace_name, 1, TO_DATE(start_date||start_time,''YYMMDDHH24MI''), TO_DATE(end_date||end_time,''YYMMDDHH24MI'') FROM DUAL WHERE EXISTS (SELECT ASP.ASP_AIRSPACE_NM FROM c_user.AIRSPACE ASP WHERE ASP.ASP_AIRSPACE_NM = airspace_name); END IF; END ; ' LANGUAGE plpgsql; I try calling it like so: select * from CREATE_AIRSPACE_AVAILABILITY_RECORD('user1','','','','',''); and I get this error: ERROR: schema "c_user" does not exist SQL state: 3F000 Context: SQL statement "INSERT INTO c_user.AIRSPACE_AVAILABILITY (ASP_AIRSPACE_NM, ASA_TIME_ID, ASA_START_DT, ASA_END_DT) SELECT $1 , 1, TO_DATE( $2 || $3 ,'YYMMDDHH24MI'), TO_DATE( $4 || $5 ,'YYMMDDHH24MI') FROM DUAL WHERE EXISTS (SELECT ASP.ASP_AIRSPACE_NM FROM c_user.AIRSPACE ASP WHERE ASP.ASP_AIRSPACE_NM = $1 )" PL/pgSQL function "create_airspace_availability_record" line 23 at SQL statement Why isn't c_user being replaced with my param (user1)?

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• MDX equivalent to SQL subqueries with aggregation

  - by James Lampe

  I'm new to MDX and trying to solve the following problem. Investigated calculated members, subselects, scope statements, etc but can't quite get it to do what I want. Let's say I'm trying to come up with the MDX equivalent to the following SQL query: SELECT SUM(netMarketValue) net, SUM(CASE WHEN netMarketValue > 0 THEN netMarketValue ELSE 0 END) assets, SUM(CASE WHEN netMarketValue < 0 THEN netMarketValue ELSE 0 END) liabilities, SUM(ABS(netMarketValue)) gross someEntity1 FROM ( SELECT SUM(marketValue) netMarketValue, someEntity1, someEntity2 FROM <some set of tables> GROUP BY someEntity1, someEntity2) t GROUP BY someEntity1 In other words, I have an account ledger where I hide internal offsetting transactions (within someEntity2), then calculate assets & liabilities after aggregating them by someEntity2. Then I want to see the grand total of those assets & liabilities aggregated by the bigger entity, someEntity1. In my MDX schema I'd presumably have a cube with dimensions for someEntity1 & someEntity2, and marketValue would be my fact table/measure. I suppose i could create another DSV that did what my subquery does (calculating net), and simply create a cube with that as my measure dimension, but I wonder if there is a better way. I'd rather not have 2 cubes (one for these net calculations and another to go to a lower level of granularity for other use cases), since it will be a lot of duplicate info in my database. These will be very large cubes.

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• Database warehouse design: fact tables and dimension tables

  - by morpheous

  I am building a poor man's data warehouse using a RDBMS. I have identified the key 'attributes' to be recorded as: sex (true/false) demographic classification (A, B, C etc) place of birth date of birth weight (recorded daily): The fact that is being recorded My requirements are to be able to run 'OLAP' queries that allow me to: 'slice and dice' 'drill up/down' the data and generally, be able to view the data from different perspectives After reading up on this topic area, the general consensus seems to be that this is best implemented using dimension tables rather than normalized tables. Assuming that this assertion is true (i.e. the solution is best implemented using fact and dimension tables), I would like to seek some help in the design of these tables. 'Natural' (or obvious) dimensions are: Date dimension Geographical location Which have hierarchical attributes. However, I am struggling with how to model the following fields: sex (true/false) demographic classification (A, B, C etc) The reason I am struggling with these fields is that: They have no obvious hierarchical attributes which will aid aggregation (AFAIA) - which suggest they should be in a fact table They are mostly static or very rarely change - which suggests they should be in a dimension table. Maybe the heuristic I am using above is too crude? I will give some examples on the type of analysis I would like to carryout on the data warehouse - hopefully that will clarify things further. I would like to aggregate and analyze the data by sex and demographic classification - e.g. answer questions like: How does male and female weights compare across different demographic classifications? Which demographic classification (male AND female), show the most increase in weight this quarter. etc. Can anyone clarify whether sex and demographic classification are part of the fact table, or whether they are (as I suspect) dimension tables.? Also assuming they are dimension tables, could someone elaborate on the table structures (i.e. the fields)? The 'obvious' schema: CREATE TABLE sex_type (is_male int); CREATE TABLE demographic_category (id int, name varchar(4)); may not be the correct one.

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• Fluent NHibernate - Cascade delete a child object when no explicit parent->child relationship exists

  - by John Price

  I've got an application that keeps track of (for the sake of an example) what drinks are available at a given restaurant. My domain model looks like: class Restaurant { public IEnumerable<RestaurantDrink> GetRestaurantDrinks() { ... } //other various properties } class RestaurantDrink { public Restaurant Restaurant { get; set; } public Drink { get; set; } public string DrinkVariety { get; set; } //"fountain drink", "bottled", etc. //other various properties } class Drink { public string Name { get; set; } public string Manufacturer { get; set; } //other various properties } My db schema is (I hope) about what you'd expect; "RestaurantDrinks" is essentially a mapping table between Restaurants and Drinks with some extra properties (like "DrinkVariety" tacked on). Using Fluent NHibernate to set up mappings, I've set up a "HasMany" relationship from Restaurants to RestaurantDrinks that causes the latter to be deleted when its parent Restaurant is deleted. My question is, given that "Drink" does not have any property on it that explicitly references RestaurantDrinks (the relationship only exists in the underlying database), can I set up a mapping that will cause RestaurantDrinks to be deleted if their associated Drink is deleted? Update: I've been trying to set up the mapping from the "RestaurantDrink" end of things using References(x => x.Drink) .Column("DrinkId") .Cascade.All(); But this doesn't seem to work (I still get an FK violation when deleting a Drink).

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• Spring-hibernate mapping problem

  - by James

  I have a spring-hibernate application which is failing to map an object properly: basically I have 2 domain objects, a Post and a User. The semantics are that every Post has 1 corresponding User. The Post domain object looks roughly as follows: class Post { private int pId; private String attribute; ... private User user; //getters and setters here } As you can see, Post contains a reference to User. When I load a Post object, I want to corresponding User object to be loaded (lazily - only when its needed). My mapping looks as follows: <class name="com...Post" table="post"> <id name="pId" column="PostId" /> <property name="attribute" column="Attribute" type="java.lang.String" /> <one-to-one name="User" fetch="join" class="com...User"></one-to-one> </class> And of course I have a basic mapping for User set up. As far as my table schema is concerned, I have a table called post with a foreign UserId which links to the user table. I thought this setup should work, BUT when I load a page that forces the lazy loading of the User object, I notice the following Hiberate query being generated: Select ... from post this_ left outer join user user2_ on this.PostId=user2_.UserId ... Obviously this is wrong: it should be joining UserId from post with UserId from user, but instead its incorrectly joining PostId from post (its primary key) with UserId from user. Any ideas? Thanks!

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• Routing an ActiveMq topic to an external broker.

  - by chillitom

  Hi All, I have an ActiveMq topic which I wish to transform and share with an external broker. At present I have the following which performs the transformation: <camelContext id="camel" xmlns="http://activemq.apache.org/camel/schema/spring"> <route> <from uri="activemq:topic:OriginalTopic"/> <to uri="xslt:file:///xslt/transformation.xsl"/> <to uri="activemq:topic:NewTopic"/> </route> </camelContext> However this just sends the message to the current broker network. I'd like to pass the NewTopic messages to an external broker only. I don't want to join the external broker using a <networkConnector .. > as only this topic should be send to the external broker and no others. Is there a simple way to route messages to an external broker? Many thanks.

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• How should I define a composite foreign key for domain constraints in the presence of surrogate keys

  - by Samuel Danielson

  I am writing a new app with Rails so I have an id column on every table. What is the best practice for enforcing domain constraints using foreign keys? I'll outline my thoughts and frustration. Here's what I would imagine as "The Rails Way". It's what I started with. Companies: id: integer, serial company_code: char, unique, not null Invoices: id: integer, serial company_id: integer, not null Products: id: integer, serial sku: char, unique, not null company_id: integer, not null LineItems: id: integer, serial invoice_id: integer, not null, references Invoices (id) product_id: integer, not null, references Products (id) The problem with this is that a product from one company might appear on an invoice for a different company. I added a (company_id: integer, not null) to LineItems, sort of like I'd do if only using natural keys and serials, then added a composite foreign key. LineItems (product_id, company_id) references Products (id, company_id) LineItems (invoice_id, company_id) references Invoices (id, company_id) This properly constrains LineItems to a single company but it seems over-engineered and wrong. company_id in LineItems is extraneous because the surrogate foreign keys are already unique in the foreign table. Postgres requires that I add a unique index for the referenced attributes so I am creating a unique index on (id, company_id) in Products and Invoices, even though id is simply unique. The following table with natural keys and a serial invoice number would not have these issues. LineItems: company_code: char, not null sku: char, not null invoice_id: integer, not null I can ignore the surrogate keys in the LineItems table but this also seems wrong. Why make the database join on char when it has an integer already there to use? Also, doing it exactly like the above would require me to add company_code, a natural foreign key, to Products and Invoices. The compromise... LineItems: company_id: integer, not null sku: integer, not null invoice_id: integer, not null does not require natural foreign keys in other tables but it is still joining on char when there is a integer available. Is there a clean way to enforce domain constraints with foreign keys like God intended, but in the presence of surrogates, without turning the schema and indexes into a complicated mess?

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• doublechecking: no db-wide 'unicode switch' for sql server in the foreseeable future, i.e. like Orac

  - by user72150

  Hi all, I believe I know the answer to this question, but wanted to confirm: Question Does Sql server (or will it in the foreseeable future), offer a database-wide "unicode switch" which says "store all characters in unicode (UTF-16, UCS-2, etc)", i.e. like Oracle. The Context Our application has provided "CJK" (Chinese-Japanese-Korean) support for years--using Oracle as the db store. Recently folks have been asking for the same support in sql server. We store our db schema definition in xml and generate the vendor-specific definitions (oracle, sql server) using vendor-specific xsl. We can make the change easily. The problem is for upgrades. Generated scripts would need to change the column types for 100+ columns from varchar to nvarchar, varchar(max) to nvarchar(max), etc. These changes require dropping and recreating indexes and foreign keys if the any indexes/fk's exist on the column. Non-trivial. Risky. DB-wide character encodings for us would eliminate programming changes. (I.e. we would not to change the column types from varchar to nvarchar; sql server would correctly store unicode data in varchar columns). I had thought that eventually sql server would "see the light" and allow storing unicode in varchar/clob columns. Evidently not yet. Recap So just to triple check: does mssql offer a database-wide switch for character encoding? Will it in SQL2008R3? or 2010? thanks, bill

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• Hibernate - query caching/second level cache does not work by value object containing subitems

  - by Zoltan Hamori

  Hi! I have been struggling with the following problem: I have a value object containing different panels. Each panel has a list of fields. Mapping: <class name="com.aviseurope.core.application.RACountryPanels" table="CTRY" schema="DBDEV1A" where="PEARL_CTRY='Y'" lazy="join"> <cache usage="read-only"/> <id name="ctryCode"> <column name="CTRY_CD_ID" sql-type="VARCHAR2(2)" not-null="true"/> </id> <bag name="panelPE" table="RA_COUNTRY_MAPPING" fetch="join" where="MANDATORY_FLAG!='N'"> <key column="COUNTRY_LOCATION_ID"/> <many-to-many class="com.aviseurope.core.application.RAFieldVO" column="RA_FIELD_MID" where="PANEL_ID='PE'"/> </bag> </class> I use the following criteria to get the value object: Session m_Session = HibernateUtil.currentSession(); m_Criteria = m_Session.createCriteria(RACountryPanels.class); m_Criteria.add(Expression.eq("ctryCode", p_Country)); m_Criteria.setCacheable(true); As I see the query cache contains only the main select like select * from CTRY where ctry_cd_id=? Both RACountryPanels and RAFieldVO are second level cached. If I check the 2nd level cache content I can see that it cointains the RAFields and the RACountryPanels as well and I can see the select .. from CTRY where ctry_cd_id=... in query cache region as well. When I call the servlet it seems that it is using the cache, but second time not. If I check the content of the cache using JMX, everything seems to be ok, but when I measure the object access time, it seems that it does not always use the cache. Cheers Zoltan

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• Parameterized Queries /Without/ using queries.

  - by Aren B

  I've got a bit of a poor situation here. I'm stuck working with commerce server, which doesn't do a whole lot of sanitization/parameterization. I'm trying to build up my queries to prevent SQL Injection, however some things like the searches / where clause on the search object need to be built up, and there's no parameterized interface. Basically, I cannot parameterize, however I was hoping to be able to use the same engine to BUILD my query text if possible. Is there a way to do this, aside from writing my own parameterizing engine which will probably still not be as good as parameterized queries? Update: Example The where clause has to be built up as a sql query where clause essentially: CatalogSearch search = /// Create Search object from commerce server search.WhereClause = string.Format("[cy_list_price] > {0} AND [Hide] is not NULL AND [DateOfIntroduction] BETWEEN '{1}' AND '{2}'", 12.99m, DateTime.Now.AddDays(-2), DateTime.Now); *Above Example is how you refine the search, however we've done some testing, this string is NOT SANITIZED. This is where my problem lies, because any of those inputs in the .Format could be user input, and while i can clean up my input from text-boxes easily, I'm going to miss edge cases, it's just the nature of things. I do not have the option here to use a parameterized query because Commerce Server has some insane backwards logic in how it handles the extensible set of fields (schema) & the free-text search words are pre-compiled somewhere. This means I cannot go directly to the sql tables What i'd /love/ to see is something along the lines of: SqlCommand cmd = new SqlCommand("[cy_list_price] > @MinPrice AND [DateOfIntroduction] BETWEEN @StartDate AND @EndDate"); cmd.Parameters.AddWithValue("@MinPrice", 12.99m); cmd.Parameters.AddWithValue("@StartDate", DateTime.Now.AddDays(-2)); cmd.Parameters.AddWithValue("@EndDate", DateTime.Now); CatalogSearch search = /// constructor search.WhereClause = cmd.ToSqlString();

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• Using datetime float representation as primary key

  - by devanalyst

  From my experience I have learn that using an surrogate INT data type column as primary key esp. an IDENTITY key column offers better performance than using GUID or char/varchar data type column as primary key. I try to use IDENTITY key as primary key wherever possible. But recently I came across a schema where the tables were horizontally partitioned and were managed via a Partitioned view. So the tables could not have an IDENTITY column since that would make the Partitioned View non updatable. One work around for this was to create a dummy 'keygenerator' table with an identity column to generate IDs for primary key. But this would mean having a 'keygenerator' table for each of the Partitioned View. My next thought was to use float as a primary key. The reason is the following key algorithm that I devised DECLARE @KEY FLOAT SET @KEY = CONVERT(FLOAT,GETDATE())/100000.0 SET @KEY = @EMP_ID + @KEY Heres how it works. CONVERT(FLOAT,GETDATE()) gives float representation of current datetime since internally all datetime are represented by SQL as a float value. CONVERT(FLOAT,GETDATE())/100000.0 converts the float representation into complete decimal value i.e. all digits are pushed to right side of ".". @KEY = @EMP_ID + @KEY adds the Employee ID which is an integer to this decimal value. The logic is that the Employee ID is guaranteed to be unique across sessions since an employee cannot connect to an application more than once at the same time. And for the same employee each time a key will be generated the current datetime will be unique. In all an unique key across all employee sessions and across time. So for Emp Ids 11 and 12, I have key values like 12.40046693321566357, 11.40046693542361111 But my concern whether float data type as primary key offer benefits compared to choosing GUID or char/varchar as primary keys. Also important thing is because of partitioning the float column is going to be part of a composite key.

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• Amazon Elastic MapReduce: Exception from FileSystem

  - by S.N

  Hi, I run my application using ruby client: ruby elastic-mapreduce -j j-20PEKMT9BRSUC --jar s3n://sakae55/lib/edu.cit.som.jar --main-class edu.cit.som.hadoop.SOMDriver --arg s3n://sakae55/repository/input/ecoli/ --arg s3n://sakae55/repository/output/ecoli/pl/ --arg s3n://sakae55/repository/data/ecoli/som.txt Then, I am seeing the following error: java.lang.IllegalArgumentException: This file system object (file:///) does not support access to the request path 'hdfs://i -10-195-207-230.ec2.internal:9000/mnt/var/lib/hadoop/tmp/mapred/system/job_201004221221_0017/job.jar' You possibly called Fi eSystem.get(conf) when you should of called FileSystem.get(uri, conf) to obtain a file system supporting your path. at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:320) at org.apache.hadoop.fs.RawLocalFileSystem.pathToFile(RawLocalFileSystem.java:52) at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:416) at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:259) at org.apache.hadoop.fs.FileSystem.isDirectory(FileSystem.java:676) at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:200) at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:1184) at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:1160) at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:1132) at org.apache.hadoop.mapred.JobClient.configureCommandLineOptions(JobClient.java:662) at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:729) at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1026) at edu.cit.som.hadoop.SOMDriver.runIteration(SOMDriver.java:106) at edu.cit.som.hadoop.SOMDriver.train(SOMDriver.java:69) at edu.cit.som.hadoop.SOMDriver.run(SOMDriver.java:52) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) at edu.cit.som.hadoop.SOMDriver.main(SOMDriver.java:36) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.apache.hadoop.util.RunJar.main(RunJar.java:155) at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) I am not sure why the error references to "file:///" even though all the arguments I pass do not use the schema.

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• Can't get MySQL source query to work using Python mysqldb module

  - by Chris

  I have the following lines of code: sql = "source C:\\My Dropbox\\workspace\\projects\\hosted_inv\\create_site_db.sql" cursor.execute (sql) When I execute my program, I get the following error: Error 1064: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'source C:\My Dropbox\workspace\projects\hosted_inv\create_site_db.sql' at line 1 Now I can copy and past the following into mysql as a query: source C:\\My Dropbox\\workspace\\projects\\hosted_inv\\create_site_db.sql And it works perfect. When I check the query log for the query executed by my script, it shows that my query was the following: source C:\\My Dropbox\\workspace\\projects\\hosted_inv\\create_site_db.sql However, when I manually paste it in and execute, the entire create_site_db.sql gets expanded in the query log and it shows all the sql queries in that file. Am I missing something here on how mysqldb does queries? Am I running into a limitation. My goal is to run a sql script to create the schema structure, but I don't want to have to call mysql in a shell process to source the sql file. Any thoughts? Thanks!

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• Sharepoint: Integrity of lookup fields after a list import

  - by driAn

  Hi there I got a question about the behavior of lookup fields when importing data. I wonder how the lookup fields behave when the list they point to is being replaced/imported. To explain the issue, I will provide a quick example below: As example, assume we have these two sharepoint lists: Product Types ------------- + Type Name + Code Nr + etc Products -------- + Product Name + Product Type (Lookup field to list "Product Types") + etc In my scenario, the Products List contains production data on the production Sharepoint platform. It is filled with data by the business users. However the Product Types list contains rather static data and is maintained by the developer. Now after a development cycle, the developer wants to deploy his new webparts and his new data (product types list). The developer performs the following procedure: On the dev machine: Export "product type" list using stsadm On the production machine: Delete all items in the "product type" list On the production machine: Import the "product type" list using stsadm This means we basically replace the "product type" list on the production server while keeping the "product" list as it is. Now the question: Is this safe? Will the lookup references break under certain circumstances? Any downside of this import/export procedure? What happens if someone accesses a "product" during the import? Will the (now invalid) reference clear its own content (become a null value). What happens if the schema of the "product type" list changes (new column)? Will this cause any troubles? Thanks for all feedback and suggestions!

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• Relational vs. Dimensional Databases, what's the difference?

  - by grautur

  I'm trying to learn about OLAP and data warehousing, and I'm confused about the difference between relational and dimensional modeling. Is dimensional modeling basically relational modeling, but allowing for redundant/un-normalized data? For example, let's say I have historical sales data on (product, city, # sales). I understand that the following would be a relational point-of-view: Product | City | # Sales Apples, San Francisco, 400 Apples, Boston, 700 Apples, Seattle, 600 Oranges, San Francisco, 550 Oranges, Boston, 500 Oranges, Seattle, 600 While the following is a more dimensional point-of-view: Product | San Francisco | Boston | Seattle Apples, 400, 700, 600 Oranges, 550, 500, 600 But it seems like both points of view would nonetheless be implemented in an identical star schema: Fact table: Product ID, Region ID, # Sales Product dimension: Product ID, Product Name City dimension: City ID, City Name And it's not until you start adding some additional details to each dimension that the differences start popping up. For instance, if you wanted to track regions as well, a relational database would tend to have a separate region table, in order to keep everything normalized: City dimension: City ID, City Name, Region ID Region dimension: Region ID, Region Name, Region Manager, # Regional Stores While a dimensional database would allow for denormalization to keep the region data inside the city dimension, in order to make it easier to slice the data: City dimension: City ID, City Name, Region Name, Region Manager, # Regional Stores Is this correct?

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• How to force ADO.Net to use only the System.String DataType in the readers TableSchema.

  - by Keith Sirmons

  Howdy, I am using an OleDbConnection to query an Excel 2007 Spreadsheet. I want force the OleDbDataReader to use only string as the column datatype. The system is looking at the first 8 rows of data and inferring the data type to be Double. The problem is that on row 9 I have a string in that column and the OleDbDataReader is returning a Null value since it could not be cast to a Double. I have used these connection strings: Provider=Microsoft.ACE.OLEDB.12.0;Data Source="ExcelFile.xlsx";Persist Security Info=False;Extended Properties="Excel 12.0;IMEX=1;HDR=No" Provider=Microsoft.Jet.OLEDB.4.0;Data Source="ExcelFile.xlsx";Persist Security Info=False;Extended Properties="Excel 8.0;HDR=No;IMEX=1" Looking at the reader.GetSchemaTable().Rows[7].ItemArray[5], it's dataType is Double. Row 7 in this schema correlates with the specific column in Excel I am having issues with. ItemArray[5] is its DataType column Is it possible to create a custom TableSchema for the reader so when accessing the ExcelFiles, I can treat all cells as text instead of letting the system attempt to infer the datatype? I found some good info at this page: Tips for reading Excel spreadsheets using ADO.NET The main quirk about the ADO.NET interface is how datatypes are handled. (You'll notice I've been carefully avoiding the question of which datatypes are returned when reading the spreadsheet.) Are you ready for this? ADO.NET scans the first 8 rows of data, and based on that guesses the datatype for each column. Then it attempts to coerce all data from that column to that datatype, returning NULL whenever the coercion fails! Thank you, Keith Here is a reduced version of my code: using (OleDbConnection connection = new OleDbConnection(BuildConnectionString(dataMapper).ToString())) { connection.Open(); using (OleDbCommand cmd = new OleDbCommand()) { cmd.Connection = connection; cmd.CommandText = SELECT * from [Sheet1$]; using (OleDbDataReader reader = cmd.ExecuteReader()) { using (DataTable dataTable = new DataTable("TestTable")) { dataTable.Load(reader); base.SourceDataSet.Tables.Add(dataTable); } } } }

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• Database warehoue design: fact tables and dimension tables

  - by morpheous

  I am building a poor man's data warehouse using a RDBMS. I have identified the key 'attributes' to be recorded as: sex (true/false) demographic classification (A, B, C etc) place of birth date of birth weight (recorded daily): The fact that is being recorded My requirements are to be able to run 'OLAP' queries that allow me to: 'slice and dice' 'drill up/down' the data and generally, be able to view the data from different perspectives After reading up on this topic area, the general consensus seems to be that this is best implemented using dimension tables rather than normalized tables. Assuming that this assertion is true (i.e. the solution is best implemented using fact and dimension tables), I would like to see some help in the design of these tables. 'Natural' (or obvious) dimensions are: Date dimension Geographical location Which have hierarchical attributes. However, I am struggling with how to model the following fields: sex (true/false) demographic classification (A, B, C etc) The reason I am struggling with these fields is that: They have no obvious hierarchical attributes which will aid aggregation (AFAIA) - which suggest they should be in a fact table They are mostly static or very rarely change - which suggests they should be in a dimension table. Maybe the heuristic I am using above is too crude? I will give some examples on the type of analysis I would like to carryout on the data warehouse - hopefully that will clarify things further. I would like to aggregate and analyze the data by sex and demographic classification - e.g. answer questions like: How does male and female weights compare across different demographic classifications? Which demographic classification (male AND female), show the most increase in weight this quarter. etc. Can anyone clarify whether sex and demographic classification are part of the fact table, or whether they are (as I suspect) dimension tables.? Also assuming they are dimension tables, could someone elaborate on the table structures (i.e. the fields)? The 'obvious' schema: CREATE TABLE sex_type (is_male int); CREATE TABLE demographic_category (id int, name varchar(4)); may not be the correct one.

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