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  • Plugin execution not covered by lifecycle configuration: org.codehaus.mojo:aspectj-maven-plugin:1.0

    - by alexm
    I switched from q4e Helios to Indigo m2e plugin and my Maven 2 project no longer works. I had a ROO-generated Spring MVC project. This is what I get: Plugin execution not covered by lifecycle configuration: org.codehaus.mojo:aspectj-maven-plugin:1.0:test-compile (execution: default, phase: process-test-sources) Plugin execution not covered by lifecycle configuration: org.codehaus.mojo:aspectj-maven-plugin:1.0:compile (execution: default, phase: process-sources) Any insight is greatly appreciated. Thank you.

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  • SQL SERVER – Weekly Series – Memory Lane – #050

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Executing Remote Stored Procedure – Calling Stored Procedure on Linked Server In this example we see two different methods of how to call Stored Procedures remotely.  Connection Property of SQL Server Management Studio SSMS A very simple example of the how to build connection properties for SQL Server with the help of SSMS. Sample Example of RANKING Functions – ROW_NUMBER, RANK, DENSE_RANK, NTILE SQL Server has a total of 4 ranking functions. Ranking functions return a ranking value for each row in a partition. All the ranking functions are non-deterministic. T-SQL Script to Add Clustered Primary Key Jr. DBA asked me three times in a day, how to create Clustered Primary Key. I gave him following sample example. That was the last time he asked “How to create Clustered Primary Key to table?” 2008 2008 – TRIM() Function – User Defined Function SQL Server does not have functions which can trim leading or trailing spaces of any string at the same time. SQL does have LTRIM() and RTRIM() which can trim leading and trailing spaces respectively. SQL Server 2008 also does not have TRIM() function. User can easily use LTRIM() and RTRIM() together and simulate TRIM() functionality. http://www.youtube.com/watch?v=1-hhApy6MHM 2009 Earlier I have written two different articles on the subject Remove Bookmark Lookup. This article is as part 3 of original article. Please read the first two articles here before continuing reading this article. Query Optimization – Remove Bookmark Lookup – Remove RID Lookup – Remove Key Lookup Query Optimization – Remove Bookmark Lookup – Remove RID Lookup – Remove Key Lookup – Part 2 Query Optimization – Remove Bookmark Lookup – Remove RID Lookup – Remove Key Lookup – Part 3 Interesting Observation – Query Hint – FORCE ORDER SQL Server never stops to amaze me. As regular readers of this blog already know that besides conducting corporate training, I work on large-scale projects on query optimizations and server tuning projects. In one of the recent projects, I have noticed that a Junior Database Developer used the query hint Force Order; when I asked for details, I found out that the basic concept was not properly understood by him. Queries Waiting for Memory Allocation to Execute In one of the recent projects, I was asked to create a report of queries that are waiting for memory allocation. The reason was that we were doubtful regarding whether the memory was sufficient for the application. The following query can be useful in similar cases. Queries that do not have to wait on a memory grant will not appear in the result set of following query. 2010 Quickest Way to Identify Blocking Query and Resolution – Dirty Solution As the title suggests, this is quite a dirty solution; it’s not as elegant as you expect. However, it works totally fine. Simple Explanation of Data Type Precedence While I was working on creating a question for SQL SERVER – SQL Quiz – The View, The Table and The Clustered Index Confusion, I had actually created yet another question along with this question. However, I felt that the one which is posted on the SQL Quiz is much better than this one because what makes that more challenging question is that it has a multiple answer. Encrypted Stored Procedure and Activity Monitor I recently had received questionable if any stored procedure is encrypted can we see its definition in Activity Monitor.Answer is - No. Let us do a quick test. Let us create following Stored Procedure and then launch the Activity Monitor and check the text. Indexed View always Use Index on Table A single table can have maximum 249 non clustered indexes and 1 clustered index. In SQL Server 2008, a single table can have maximum 999 non clustered indexes and 1 clustered index. It is widely believed that a table can have only 1 clustered index, and this belief is true. I have some questions for all of you. Let us assume that I am creating view from the table itself and then create a clustered index on it. In my view, I am selecting the complete table itself. 2011 Detecting Database Case Sensitive Property using fn_helpcollations() I received a question on how to determine the case sensitivity of the database. The quick answer to this is to identify the collation of the database and check the properties of the collation. I have previously written how one can identify database collation. Once you have figured out the collation of the database, you can put that in the WHERE condition of the following T-SQL and then check the case sensitivity from the description. Server Side Paging in SQL Server CE (Compact Edition) SQL Server Denali is coming up with new T-SQL of Paging. I have written about the same earlier.SQL SERVER – Server Side Paging in SQL Server Denali – A Better Alternative,  SQL SERVER – Server Side Paging in SQL Server Denali Performance Comparison, SQL SERVER – Server Side Paging in SQL Server Denali – Part2 What is very interesting is that SQL Server CE 4.0 have the same feature introduced. Here is the quick example of the same. To run the script in the example, you will have to do installWebmatrix 4.0 and download sample database. Once done you can run following script. Why I am Going to Attend PASS Summit Unite 2011 The four-day event will be marked by a lot of learning, sharing, and networking, which will help me increase both my knowledge and contacts. Every year, PASS Summit provides me a golden opportunity to build my network as well as to identify and meet potential customers or employees. 2012 Manage Help Settings – CTRL + ALT + F1 This is very interesting read as my daughter once accidently came across a screen in SQL Server Management Studio. It took me 2-3 minutes to figure out how she has created the same screen. Recover the Accidentally Renamed Table “I accidentally renamed table in my SSMS. I was scrolling very fast and I made mistakes. It was either because I double clicked or clicked on F2 (shortcut key for renaming). However, I have made the mistake and now I have no idea how to fix this. If you have renamed the table, I think you pretty much is out of luck. Here are few things which you can do which can give you an idea about what your table name can be if you are lucky. Identify Numbers of Non Clustered Index on Tables for Entire Database Here is the script which will give you numbers of non clustered indexes on any table in entire database. Identify Most Resource Intensive Queries – SQL in Sixty Seconds #029 – Video Here is the complete complete script which I have used in the SQL in Sixty Seconds Video. Thanks Harsh for important Tip in the comment. http://www.youtube.com/watch?v=3kDHC_Tjrns Advanced Data Quality Services with Melissa Data – Azure Data Market For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • C#, Linq, Dynamic Query: Code to filter a Dynamic query outside of the Repository

    - by Dr. Zim
    If you do something like this in your Repository: IQueryable<CarClass> GetCars(string condition, params object[] values) { return db.Cars.Where(condition, values); } And you set the condition and values outside of the repository: string condition = "CarMake == @Make"; object[] values = new string[] { Make = "Ford" }; var result = myRepo.GetCars( condition, values); How would you be able to sort the result outside of the repository with Dynamic Query? return View( "myView", result.OrderBy("Price")); Somehow I am losing the DynamicQuery nature when the data exits from the repository. And yes, I haven't worked out how to return the CarClass type where you would normally do a Select new Carclass { fieldName = m.fieldName, ... }

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  • LINQ query needs either ascending or descending in the same query

    - by Sir Psycho
    Is there anyway this code can be refactored? The only difference is the order by part. Idealy I'd like to use a delegate/lamda expression so the code is reusable but I don't know how to conditionally add and remove the query operators OrderBy and OrderByDescending var linq = new NorthwindDataContext(); var query1 = linq.Customers .Where(c => c.ContactName.StartsWith("a")) .SelectMany(cus=>cus.Orders) .OrderBy(ord => ord.OrderDate) .Select(ord => ord.CustomerID); var query2 = linq.Customers .Where(c => c.ContactName.StartsWith("a")) .SelectMany(cus => cus.Orders) .OrderByDescending(ord => ord.OrderDate) .Select(ord => ord.CustomerID);

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  • Backup Meta-Data

    - by BuckWoody
    I'm working on a PowerShell script to show me the trending durations of my backup activities. The first thing I need is the data, so I looked at the Standard Reports in SQL Server Management Studio, and found a report that suited my needs, so I pulled out the script that it runs and modified it to this T-SQL Script. A few words here - you need to be in the MSDB database for this to run, and you can add a WHERE clause to limit to a database, timeframe, type of backup, whatever. For that matter, I won't use all of the data in this query in my PowerShell script, but it gives me lots of avenues to graph: SELECT distinct t1.name AS 'DatabaseName' ,(datediff( ss,  t3.backup_start_date, t3.backup_finish_date)) AS 'DurationInSeconds' ,t3.user_name AS 'UserResponsible' ,t3.name AS backup_name ,t3.description ,t3.backup_start_date ,t3.backup_finish_date ,CASE WHEN t3.type = 'D' THEN 'Database' WHEN t3.type = 'L' THEN 'Log' WHEN t3.type = 'F' THEN 'FileOrFilegroup' WHEN t3.type = 'G' THEN 'DifferentialFile' WHEN t3.type = 'P' THEN 'Partial' WHEN t3.type = 'Q' THEN 'DifferentialPartial' END AS 'BackupType' ,t3.backup_size AS 'BackupSizeKB' ,t6.physical_device_name ,CASE WHEN t6.device_type = 2 THEN 'Disk' WHEN t6.device_type = 102 THEN 'Disk' WHEN t6.device_type = 5 THEN 'Tape' WHEN t6.device_type = 105 THEN 'Tape' END AS 'DeviceType' ,t3.recovery_model  FROM sys.databases t1 INNER JOIN backupset t3 ON (t3.database_name = t1.name )  LEFT OUTER JOIN backupmediaset t5 ON ( t3.media_set_id = t5.media_set_id ) LEFT OUTER JOIN backupmediafamily t6 ON ( t6.media_set_id = t5.media_set_id ) ORDER BY backup_start_date DESC I'll munge this into my Excel PowerShell chart script tomorrow. Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. Yes, there are always multiple ways to do things, and this script may not work in every situation, for everything. It’s just a script, people. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Backup Meta-Data

    - by BuckWoody
    I'm working on a PowerShell script to show me the trending durations of my backup activities. The first thing I need is the data, so I looked at the Standard Reports in SQL Server Management Studio, and found a report that suited my needs, so I pulled out the script that it runs and modified it to this T-SQL Script. A few words here - you need to be in the MSDB database for this to run, and you can add a WHERE clause to limit to a database, timeframe, type of backup, whatever. For that matter, I won't use all of the data in this query in my PowerShell script, but it gives me lots of avenues to graph: SELECT distinct t1.name AS 'DatabaseName' ,(datediff( ss,  t3.backup_start_date, t3.backup_finish_date)) AS 'DurationInSeconds' ,t3.user_name AS 'UserResponsible' ,t3.name AS backup_name ,t3.description ,t3.backup_start_date ,t3.backup_finish_date ,CASE WHEN t3.type = 'D' THEN 'Database' WHEN t3.type = 'L' THEN 'Log' WHEN t3.type = 'F' THEN 'FileOrFilegroup' WHEN t3.type = 'G' THEN 'DifferentialFile' WHEN t3.type = 'P' THEN 'Partial' WHEN t3.type = 'Q' THEN 'DifferentialPartial' END AS 'BackupType' ,t3.backup_size AS 'BackupSizeKB' ,t6.physical_device_name ,CASE WHEN t6.device_type = 2 THEN 'Disk' WHEN t6.device_type = 102 THEN 'Disk' WHEN t6.device_type = 5 THEN 'Tape' WHEN t6.device_type = 105 THEN 'Tape' END AS 'DeviceType' ,t3.recovery_model  FROM sys.databases t1 INNER JOIN backupset t3 ON (t3.database_name = t1.name )  LEFT OUTER JOIN backupmediaset t5 ON ( t3.media_set_id = t5.media_set_id ) LEFT OUTER JOIN backupmediafamily t6 ON ( t6.media_set_id = t5.media_set_id ) ORDER BY backup_start_date DESC I'll munge this into my Excel PowerShell chart script tomorrow. Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. Yes, there are always multiple ways to do things, and this script may not work in every situation, for everything. It’s just a script, people. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • A query for date within a year

    - by Fabiano PS
    My table is like this on Postgres, note that all days start by 01, there is only 1 entry a month+year SELECT * FROM "fis_historico_receita" +----+------------+---------------+ | id | data | receita_bruta | +----+------------+---------------+ | 1 | 2010-02-01 | 100000.0 | | 2 | 2010-01-01 | 100000.0 | | 3 | 2009-12-01 | 100000.0 | | 4 | 2009-11-01 | 100000.0 | | 5 | 2009-10-01 | 100000.0 | | 6 | 2009-09-01 | 100000.0 | | 7 | 2009-08-01 | 100000.0 | | 8 | 2009-07-01 | 100000.0 | | 9 | 2009-06-01 | 100000.0 | | 10 | 2009-05-01 | 100000.0 | | 11 | 2009-04-01 | 100000.0 | | 12 | 2009-03-01 | 100000.0 | | 13 | 2009-02-01 | 100000.0 | | 14 | 2009-01-01 | 100000.0 | | 15 | 2008-12-01 | 100000.0 | +----+------------+---------------+ What I want is to find 12 months starting right from before the current. I tried this: select * from fis_historico_receita where data in interval '1 year' I really would like an answer using Interval, +1 goes for everyone that runs on Postgres

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  • mysql query using jdbc

    - by S.PRATHIBA
    Hi all, I need to retrieve the last 20 values from my database.For example I have the following table Service_ID Service_Type consumer_feedback | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 36 | Printer | 1 | | 36 | Printer | 0 | | 37 | Printer | 0 | | 39 | Printer | -1 | | 39 | Printer | 0 | | 40 | Printer | 0 | I need to retrieve last 10 values from the table.I need to do the operation using jdbc.I have attached the sample code.Kindly help me. import java.io.; import java.sql.; public class CountRows2 { public static void main(String[] args) { System.out.println("Count number of rows in a specific table!"); Connection con = null; int count = 0; try{ Class.forName("com.mysql.jdbc.Driver"); con = DriverManager.getConnection ("jdbc:mysql://localhost:3306/prathi","root","mysql"); try{ Statement st = con.createStatement(); ResultSet res1 = st.executeQuery("SELECT COUNT(*) FROM consumer1" ); while (res1.next()){ count = res1.getInt(1); } System.out.println("Number of column:"+count); } catch (SQLException s){ System.out.println("SQL statement is not executed!"); } } catch (Exception e){ e.printStackTrace(); } try{ Class.forName("com.mysql.jdbc.Driver"); con = DriverManager.getConnection ("jdbc:mysql://localhost:3306/prathi","root","mysql"); try{ Statement st = con.createStatement(); ResultSet res1 = st.executeQuery("SELECT * FROM consumer1 LIMIT count-10,10"); while (res1.next()){ int Service = res1.getInt(1); String s1 = res1.getString(2); int feedback=res1.getInt(3); } System.out.println("Service" + " " +"s1" + " " +"feedback"); } catch (SQLException s){ System.out.println("SQL statement is not executed!"); } } catch (Exception e){ e.printStackTrace(); } } } I am getting the output as: C:javac CountRows2.java C:java CountRows2 Count number of rows in a specific table! Number of column:558 SQL statement is not executed! Thanks a lot....

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  • index help for a MySQL query using greater-than operator and ORDER BY

    - by Jaymon
    I have a table with at least a couple million rows and a schema of all integers that looks roughly like this: start stop first_user_id second_user_id The rows get pulled using the following queries: SELECT * FROM tbl_name WHERE stop >= M AND first_user_id=N AND second_user_id=N ORDER BY start ASC SELECT * FROM tbl_name WHERE stop >= M AND first_user_id=N ORDER BY start ASC I cannot figure out the best indexes to speed up these queries. The problem seems to be the ORDER BY because when I take that out the queries are fast. I've tried all different types of indexes using the standard index format: ALTER TABLE tbl_name ADD INDEX index_name (index_col_1,index_col_2,...) And none of them seem to speed up the queries. Does anyone have any idea what index would work? Also, should I be trying a different type of index? I can't guarantee the uniqueness of each row so I've avoided UNIQUE indexes. Any guidance/help would be appreciated. Thanks!

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  • Problem with write query

    - by phenevo
    Hi, I've got collection of geo objects in database: There are four Tables: Countries Regions Provinces Cities Cities has inter alia ProvinceCode Provinces has inter alia regionCode Regions has inter alia CountryCode And there is fifth Table: Descriptions ObjectCode ObjectType(country, region, province, city) Description. How to get from Descriptions table, all descriptions from objects which are in the definite country ??

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  • Filtering MySQL query result according to a interval of timestamp

    - by celalo
    Let's say I have a very large MySQL table with a timestamp field. So I want to filter out some of the results not to have too many rows because I am going to print them. Let's say the timestamps are increasing as the number of rows increase and they are like every one minute on average. (Does not necessarily to be exactly once every minute, ex: 2010-06-07 03:55:14, 2010-06-07 03:56:23, 2010-06-07 03:57:01, 2010-06-07 03:57:51, 2010-06-07 03:59:21 ...) As I mentioned earlier I want to filter out some of the records, I do not have specific rule to do that, but I was thinking to filter out the rows according to the timestamp interval. After I achieve filtering I want to have a result set which has a certain amount of minutes between timestamps on average (ex: 2010-06-07 03:20:14, 2010-06-07 03:29:23, 2010-06-07 03:38:01, 2010-06-07 03:49:51, 2010-06-07 03:59:21 ...) Last but not least, the operation should not take incredible amount of time, I need this functionality to be almost fast as a normal select operation. Do you have any suggestions?

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  • SQL Query that can return intersecting data

    - by Alex
    I have a hard time finding a good question title - let me just show you what I have and what the desired outcome is. I hope this can be done in SQL (I have SQL Server 2008). 1) I have a table called Contacts and in that table I have fields like these: FirstName, LastName, CompanyName 2) Some demo data: FirstName LastName CompanyName John Smith Smith Corp Paul Wade Marc Andrews Microsoft Bill Gates Microsoft Steve Gibbs Smith Corp Diane Rowe ABC Inc. 3) I want to get an intersecting list of people and companies, but companies only once. This would look like this: Name ABC Inc. Bill Gates Diane Rowe John Smith Marc Andrews Microsoft Smith Corp Steve Gibbs Paul Wade Can I do this with SQL? How?

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  • OSLO, ANTLR or other parser grammar, for parsing QUERY EXPRESSION

    - by Jay Allard
    Greetings I'm working on a project that requires me to write queries in text form, then convert them to some easily processed nodes to be processed by some abiguous repository. Of everything there, the part I'm least interested is the part that converts the text to nodes. I'm hoping it's already done somewhere. Because I'm making stuff up as I go, I chose to use a LINQish expression syntax. from m in Movie select m.A, m.B I started parsing it manually and got the basics, but it's pretty cheesy. I'm looking for the better solution. I made some progress using MGrammar, but it would be nice if such a thing already existed. Does anyone know of anything that already does this? I looked for existing ANTLR templates, but no luck. Thanks for the help.

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  • Most efficient method to query a Young Tableau

    - by Matthieu M.
    A Young Tableau is a 2D matrix A of dimensions M*N such that: i,j in [0,M)x[0,N): for each p in (i,M), A[i,j] <= A[p,j] for each q in (j,N), A[i,j] <= A[i,q] That is, it's sorted row-wise and column-wise. Since it may contain less than M*N numbers, the bottom-right values might be represented either as missing or using (in algorithm theory) infinity to denote their absence. Now the (elementary) question: how to check if a given number is contained in the Young Tableau ? Well, it's trivial to produce an algorithm in O(M*N) time of course, but what's interesting is that it is very easy to provide an algorithm in O(M+N) time: Bottom-Left search: Let x be the number we look for, initialize i,j as M-1, 0 (bottom left corner) If x == A[i,j], return true If x < A[i,j], then if i is 0, return false else decrement i and go to 2. Else, if j is N-1, return false else increment j This algorithm does not make more than M+N moves. The correctness is left as an exercise. It is possible though to obtain a better asymptotic runtime. Pivot Search: Let x be the number we look for, initialize i,j as floor(M/2), floor(N/2) If x == A[i,j], return true If x < A[i,j], search (recursively) in A[0:i-1, 0:j-1], A[i:M-1, 0:j-1] and A[0:i-1, j:N-1] Else search (recursively) in A[i+1:M-1, 0:j], A[i+1:M-1, j+1:N-1] and A[0:i, j+1:N-1] This algorithm proceed by discarding one of the 4 quadrants at each iteration and running recursively on the 3 left (divide and conquer), the master theorem yields a complexity of O((N+M)**(log 3 / log 4)) which is better asymptotically. However, this is only a big-O estimation... So, here are the questions: Do you know (or can think of) an algorithm with a better asymptotical runtime ? Like introsort prove, sometimes it's worth switching algorithms depending on the input size or input topology... do you think it would be possible here ? For 2., I am notably thinking that for small size inputs, the bottom-left search should be faster because of its O(1) space requirement / lower constant term.

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  • Mysql SELECT nested query, very complicated?

    - by smartbear
    Okay, first following are my tables: Table house: id | items_id | 1 | 1,5,10,20 | Table items: id | room_name | refer 1 | kitchen | 3 5 | room1 | 10 Table kitchen: id | detail_name | refer 3 | spoon | 4 5 | fork | 10 Table spoon: id | name | color | price | quantity_available | 4 | spoon_a | white | 50 | 100 | 5 | spoon_b | black | 30 | 200 | How to do a nested select statement, where I want to select id, name, color, price and quantity_available column, from the each value inside the 'items_id' column in 'house' table? This is very challenging!! EDIT: after read robin's answer Table house: id | items_id | house1 | 1 | house1 | 5 | house1 | 10 | house2 | 20 | If this it the house table, how to do the nested, join, or whatever select statement??

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  • Different ways to query this search in SQL?

    - by Bart Terrell
    I am teaching myself MS-SQL and I am trying to find different ways to find the Count of Paid and Unpaid Claims for 2012 grouped by Region from these 3 tables. If there is a returned date, the claim is unpaid if the returned date is null then the claim is paid. I will attach the code I have ran, but I am not sure if there are better ways to do it. Thanks. Here is the code: SET dateformat ymd; CREATE TABLE Claims ( ClaimID INT, SubID INT, [Claim Date] DATETIME ); CREATE TABLE Phoneship ( ClaimID INT, [Shipping Number] INT, [Claim Date] DATETIME, [Ship Date] DATETIME, [Returned Date] DATETIME ); CREATE TABLE Enrollment ( SubID INT, Enrollment_Date DATETIME, Channel NVARCHAR(255), Region NVARCHAR(255), Status FLOAT, Drop_Date DATETIME ); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (102, 201, '2011-10-13 00:00:00', '2011-10-14 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (103, 202, '2011-11-02 00:00:00', '2011-11-03 00:00:00', '2011-11-20 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (103, 203, '2011-11-02 00:00:00', '2011-11-22 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (105, 204, '2012-01-16 00:00:00', '2012-01-17 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (106, 205, '2012-02-15 00:00:00', '2012-02-16 00:00:00', '2012-02-26 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (106, 206, '2012-02-15 00:00:00', '2012-02-27 00:00:00', '2012-03-06 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (107, 207, '2012-03-12 00:00:00', '2012-03-13 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (108, 208, '2012-05-11 00:00:00', '2012-05-12 00:00:00', NULL); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (109, 209, '2012-05-13 00:00:00', '2012-05-14 00:00:00', '2012-05-28 00:00:00'); INSERT INTO [Phoneship] ([ClaimID], [Shipping Number], [Claim Date], [Ship Date], [Returned Date]) VALUES (109, 210, '2012-05-13 00:00:00', '2012-05-30 00:00:00', NULL); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (101, 12345678, '2011-03-06 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (102, 12347190, '2011-10-13 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (103, 12348723, '2011-11-02 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (104, 12349745, '2011-11-09 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (105, 12347190, '2012-01-16 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (106, 12349234, '2012-02-15 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (107, 12350767, '2012-03-12 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (108, 12350256, '2012-05-11 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (109, 12347701, '2012-05-13 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (110, 12350256, '2012-05-15 00:00:00'); INSERT INTO [Claims] ([ClaimID], [SubID], [Claim Date]) VALUES (111, 12350767, '2012-06-30 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12345678, '2011-01-05 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12346178, '2011-03-13 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12346679, '2011-05-19 00:00:00', 'Indirect Dealers', 'Southeast', 0, '2012-03-15 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12347190, '2011-07-25 00:00:00', 'Retail', 'Northeast', 0, '2012-05-21 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12347701, '2011-08-14 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12348212, '2011-09-30 00:00:00', 'Retail', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12348723, '2011-10-20 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12349234, '2012-01-06 00:00:00', 'Indirect Dealers', 'West', 0, '2012-02-14 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12349745, '2012-01-26 00:00:00', 'Retail', 'Northeast', 0, '2012-04-15 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12350256, '2012-02-11 00:00:00', 'Retail', 'Southeast', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12350767, '2012-03-02 00:00:00', 'Indirect Dealers', 'West', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12351278, '2012-04-18 00:00:00', 'Retail', 'Midwest', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12351789, '2012-05-08 00:00:00', 'Indirect Dealers', 'West', 0, '2012-07-04 00:00:00'); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12352300, '2012-06-24 00:00:00', 'Retail', 'Midwest', 1, NULL); INSERT INTO [Enrollment] ([SubID], [Enrollment_Date], [Channel], [Region], [Status], [Drop_Date]) VALUES (12352811, '2012-06-25 00:00:00', 'Retail', 'Southeast', 1, NULL); And Query1 SELECT Count(ClaimID) AS 'Paid Claim', (SELECT Count(ClaimID) FROM dbo.phoneship WHERE [returned date] IS NOT NULL) AS 'Unpaid Claim' FROM dbo.Phoneship WHERE [Returned Date] IS NULL GROUP BY claimid Query2 SELECT Count(*) AS 'Paid Claims', (SELECT Count(*) FROM dbo.Phoneship WHERE [Returned Date] IS NOT NULL) AS 'Unpaid Claims' FROM dbo.Phoneship WHERE [Returned Date] IS NULL; Query3 Select Distinct(C.[Shipping Number]), Count(C.ClaimID) AS 'COUNT ClaimID', A.Region, A.SubID From dbo.HSEnrollment A Inner Join dbo.Claims B On A.SubId = B.SubId Inner Join dbo.Phoneship C On B.ClaimID = C.ClaimID Where C.[Returned Date] IS NULL Group By A.Region, A.Subid, C.ClaimID, C.[Shipping Number] Order By A.Region

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