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  • How to write this Link2Sql select query

    - by RememberME
    I have 3 tables: subcontracts, companies and contacts. Each table has a active_status flags which shows that the item is still active (hasn't been deleted). Each contact has a company_id field which stores the id of the contact's company. Each subcontract has a company_id field which stores the subcontract's company. Each company has a company_id field which holds its guid and a primary_company field, b/c the company could be a subsidiary. If it's a subsidiary, the primary_company field holds the id of the primary company. I have a subcontract form. On the form, I have a drop-down of contacts which are stored in a contact table. Currently the drop-down lists all contacts. I would like to have the drop-down only list contacts which belong to the subcontract's company or any of that company's subsidiaries. I have the following query which I use elsewhere in the program to pass a company_id and get its subsidiaries. public IQueryable<company> GetSubsidiaryCompanies(Guid id) { return from c in db.companies where c.primary_company == id && c.active_status == true select c; } This is my current contact selection public IQueryable<contact> GetContacts() { return from c in db.contacts where c.active_status == true orderby c.contact_name select c; } What I need to do is pass it the subcontract.company_id and then only return the contacts where contact.company_id == subcontract.company_id or contact.company_id == one of the subsidiary ids.

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  • How do I make the following interaction with mySQL more efficient?

    - by Travis
    I've got an array that contains combinations of unique MySql IDs: For example: [ [1,10,11], [2,10], [3,10,12], [3,12,13,20], [4,12] ] In total there are a couple hundred different combinations of IDs. Some of these combinations are "valid" and some are not. For example, [1,10,11] may be a valid combination, whereas [3,10,12] may be invalid. Combinations are valid or invalid depending on how the data is arranged in the database. Currently I am using a SELECT statement to determine whether or not a specific combination of IDs is valid. It looks something like this: SELECT id1 FROM table WHERE id2 IN ($combination) GROUP BY id1 HAVING COUNT(distinct id2) = $number ...where $combination is one possible combination of IDs (eg 1,10,11) and $number is the number of IDs in that combination (in this case, 3). An invalid combination will return 0 rows. A valid combination will return 1 or more rows. However, to solve the entire set of possible combinations means looping a couple hundred SELECT statements, which I would rather not be doing. I am wondering: Are there any tricks for making this more efficient? Is it possible to submit the entire dataset to mySQL in one go, and have mySQL iterate through it? Any suggestions would be much appreciated. Thanks in advance!

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  • Oracle Insert via Select from multiple tables where one table may not have a row

    - by Mikezx6r
    I have a number of code value tables that contain a code and a description with a Long id. I now want to create an entry for an Account Type that references a number of codes, so I have something like this: insert into account_type_standard (account_type_Standard_id, tax_status_id, recipient_id) ( select account_type_standard_seq.nextval, ts.tax_status_id, r.recipient_id from tax_status ts, recipient r where ts.tax_status_code = ? and r.recipient_code = ?) This retrieves the appropriate values from the tax_status and recipient tables if a match is found for their respective codes. Unfortunately, recipient_code is nullable, and therefore the ? substitution value could be null. Of course, the implicit join doesn't return a row, so a row doesn't get inserted into my table. I've tried using NVL on the ? and on the r.recipient_id. I've tried to force an outer join on the r.recipient_code = ? by adding (+), but it's not an explicit join, so Oracle still didn't add another row. Anyone know of a way of doing this? I can obviously modify the statement so that I do the lookup of the recipient_id externally, and have a ? instead of r.recipient_id, and don't select from the recipient table at all, but I'd prefer to do all this in 1 SQL statement.

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  • Rails multiple select box issue for search

    - by Reido
    First off here is my model, controller, view: My model, this is where I have my search code:--------------------------- def self.find_by_lcc(params) where = [] where << "category = 'Land'" unless params[:mls].blank? where << "mls = :mls" end unless params[:county].blank? where << "county = :county" end unless params[:acreage_range].blank? where << "acreage_range = :acreage_range" end unless params[:landtype].blank? where << "landtype = :landtype" end unless params[:price_range].blank? where << "price_range = :price_range" end if where.empty? [] else find(:all, :conditions => [where.join(" AND "), params], :order => "county, price desc") end end My controller:---------------- def land @counties = ['Adams', 'Alcorn', 'Amite', 'Attala'] @title = "Browse" return if params[:commit].nil? @properties = Property.find_by_lcc(params) else 'No properties were found' render :action = 'land_table' end My View: ---------------------- <table width="900"> <tr> <td> <% form_tag({ :action => "land" }, :method => "get") do %> <fieldset> <legend>Search our Land Properties</legend> <div class="form_row"><p>&nbsp;</p></div> <div class="form_row"> <label for="mls">MLS Number:</label>&nbsp; <%= text_field_tag 'mls', params[:mls] %> </div> <div class="form_row"> <label for "county"><font color="#ff0000">*County:</font></label>&nbsp; <%= select_tag "county", options_for_select(@counties), :multiple => true, :size => 6 %> </div> <div class="form_row"> <label for "acreage_range">Acreage:</label>&nbsp; <%= select_tag "acreage_range", options_for_select([['All',''],['1-10','1-10'],['11-25','11-25'],['26-50','26-50'],['51-100','51-100']]) %> </div> <div class="form_row"> <label for "landtype">Type:</label>&nbsp; <%= select_tag "landtype", options_for_select([['All',''],['Waterfront','Waterfront'],['Wooded','Wooded'],['Pasture','Pasture'],['Woods/Pasture','Woods/Pasture'],['Lot','Lot']]) %> </div> <div class="form_row"> <label for="price_range"><font color="#ff0000">*Price:</font></label>&nbsp; <%= select_tag "price_range", options_for_select([['All',''],['0-1,000','0-1,000'],['1,001-10,000','1,001-10,000'],['10,001-50,000','10,001-50,000'],['50,001-100,000','50,001-100,000'],['100,001-150,000']])%> </div> <input type="text" style="display: none;" disabled="disabled" size="1" /> <%= submit_tag "Search", :class => "submit" %> </fieldset> <% end%> </td> </tr> </table> The search works fine until I add ", :multiple = true, :size = 6" to make the county field multiple select. Then I get the error: Processing PublicController#land (for 65.0.81.83 at 2010-04-01 13:11:30) [GET] Parameters: {"acreage_range"=>"", "commit"=>"Search", "county"=>["Adams", "Amite"], "landtype"=>"", "price_range"=>"", "mls"=>""} ActiveRecord::StatementInvalid (Mysql::Error: Operand should contain 1 column(s): SELECT * FROM `properties` WHERE (category = 'Land' AND county = 'Adams','Amite') ORDER BY county, price desc): app/models/property.rb:93:in `find_by_lcc' app/controllers/public_controller.rb:84:in `land' /usr/lib/ruby/1.8/thread.rb:135:in `synchronize' fcgi (0.8.7) lib/fcgi.rb:117:in `session' fcgi (0.8.7) lib/fcgi.rb:104:in `each_request' fcgi (0.8.7) lib/fcgi.rb:36:in `each' dispatch.fcgi:24 I've tried to make the county, acreage_range, and price_range fields into multiple select boxes numerous ways, but can not get any method to work correctly. Any help would be greatly appreciated. Thanks,

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  • Select random row from MySQL (with probability)

    - by James Simpson
    I have a MySQL table that has a row called cur_odds which is a percent number with the percent probability that that row will get selected. How do I make a query that will actually select the rows in approximately that frequency when you run through 100 queries for example? I tried the following, but a row that has a probability of 0.35 ends up getting selected around 60-70% of the time. SELECT * FROM table ORDER BY RAND()*cur_odds DESC

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  • Testing for existence using SELECT WHERE HAVING and NOT HAVING in a grouped subset

    - by IanC
    I have data on which I need to count +1 if a particular condition exists or another condition doesn't exist. I'm using SQL Server 2008. I shred the following simplified sample XML into a temp table and validate it: <product type="1"> <param type="1"> <item mode="0" weight="1" /> </param> <param type="2"> <item mode="1" weight="1" /> <item mode="0" weight="0.1" /> </param> <param type="3"> <item mode="1" weight="0.75" /> <item mode="1" weight="0.25" /> </param> </product> The validation in concern is the following rule: For each product type, for each param type, mode may be 0 & (1 || 2). In other words, there may be a 0(s), but then 1s or 2s are required, or there may be only 1(s) or 2(s). There cannot be only 0s, and there cannot be 1s and 2s. The only part I haven't figured out is how to detect if there are only 0s. This seems like a "not having" problem. The validation code (for this part): WITH t1 AS ( SELECT SUM(t.ParamWeight) AS S, COUNT(1) AS C, t.ProductTypeID, t.ParamTypeID, t.Mode FROM @t AS t GROUP BY t.ProductTypeID, t.ParamTypeID, t.Mode ), ... UNION ALL SELECT TOP (1) 1 -- only mode 0 & (1 || 2) is allowed FROM t1 WHERE t1.Mode IN (1, 2) GROUP BY t1.ProductTypeID, t1.ParamTypeID HAVING COUNT(1) > 1 UNION ALL ... ) SELECT @C = COUNT(1) FROM t2 This will show if any mode 1s & 2s are mixed, but not if the group contains only a 0. I'm sure there is a simple solution, but it's evading me right now. EDIT: I thought of a "cheat" that works perfectly. I added the following to the above: SELECT TOP (1) 1 -- only mode 0 & (null || 1 || 2) is allowed FROM t1 GROUP BY t1.ProductTypeID, t1.ParamTypeID HAVING SUM(t1.Mode) = 0 However, I'd still like to know how to do this without cheating.

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  • SQL query, select from 2 tables random

    - by klaus
    Hello all i have a problem that i just CANT get to work like i what it.. i want to show news and reviews (2 tables) and i want to have random output and not the same output here is my query i really hope some one can explain me what i do wrong SELECT anmeldelser.billed_sti , anmeldelser.overskrift , anmeldelser.indhold , anmeldelser.id , anmeldelser.godkendt FROM anmeldelser LIMIT 0,6 UNION ALL SELECT nyheder.id , nyheder.billed_sti , nyheder.overskrift , nyheder.indhold , nyheder.godkendt FROM nyheder ORDER BY rand() LIMIT 0,6

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  • SQL SERVER – Subquery or Join – Various Options – SQL Server Engine Knows the Best – Part 2

    - by pinaldave
    This blog post is part 2 of the earlier written article SQL SERVER – Subquery or Join – Various Options – SQL Server Engine knows the Best by Paulo R. Pereira. Paulo has left excellent comment to earlier article once again proving the point that SQL Server Engine is smart enough to figure out the best plan itself and uses the same for the query. Let us go over his comment as he has posted. “I think IN or EXISTS is the best choice, because there is a little difference between ‘Merge Join’ of query with JOIN (Inner Join) and the others options (Left Semi Join), and JOIN can give more results than IN or EXISTS if the relationship is 1:0..N and not 1:0..1. And if I try use NOT IN and NOT EXISTS the query plan is different from LEFT JOIN too (Left Anti Semi Join vs. Left Outer Join + Filter). So, I found a case where EXISTS has a different query plan than IN or ANY/SOME:” USE AdventureWorks GO -- use of SOME SELECT * FROM HumanResources.Employee E WHERE E.EmployeeID = SOME ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddress EA UNION ALL SELECT EA.EmployeeID FROM HumanResources.EmployeeDepartmentHistory EA ) -- use of IN SELECT * FROM HumanResources.Employee E WHERE E.EmployeeID IN ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddress EA UNION ALL SELECT EA.EmployeeID FROM HumanResources.EmployeeDepartmentHistory EA ) -- use of EXISTS SELECT * FROM HumanResources.Employee E WHERE EXISTS ( SELECT EA.EmployeeID FROM HumanResources.EmployeeAddress EA UNION ALL SELECT EA.EmployeeID FROM HumanResources.EmployeeDepartmentHistory EA ) When looked into execution plan of the queries listed above indeed we do get different plans for queries and SQL Server Engines creates the best (least cost) plan for each query. Click on image to see larger images. Thanks Paulo for your wonderful contribution. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, Readers Contribution, SQL, SQL Authority, SQL Joins, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Autopostback select lists in ASP.NET MVC using jQuery

    - by rajbk
    This tiny snippet of code show you how to have your select lists autopostback its containing form when the selected value changes. When the DOM is fully loaded, we get all select nodes that have an attribute of “data-autopostback” with a value of “true”. We wire up the “change” JavaScript event to all these select nodes. This event is fired as soon as the user changes their selection with the mouse.  When the event is fired, we find the closest form tag for the select node that raised the event and submit the form. $(document).ready(function () { $("select:[data-autopostback=true]").change(function () { $(this).closest("form").submit(); }); }); A select tag with autopostback enabled will look like this <select id="selCategory" name="Category" data-autopostback="true"> <option value='1'>Electronics</option> <option value='2'>Books</option> </select> The reason I am using “data-" suffix in the attribute is to be HTML5 Compliant. A custom data attribute is an attribute in no namespace whose name starts with the string "data-", has at least one character after the hyphen, is XML-compatible, and contains no characters in the range U+0041 to U+005A (LATIN CAPITAL LETTER A to LATIN CAPITAL LETTER Z). The snippet can be used with any HTML page.

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  • SQL SERVER – Guest Posts – Feodor Georgiev – The Context of Our Database Environment – Going Beyond the Internal SQL Server Waits – Wait Type – Day 21 of 28

    - by pinaldave
    This guest post is submitted by Feodor. Feodor Georgiev is a SQL Server database specialist with extensive experience of thinking both within and outside the box. He has wide experience of different systems and solutions in the fields of architecture, scalability, performance, etc. Feodor has experience with SQL Server 2000 and later versions, and is certified in SQL Server 2008. In this article Feodor explains the server-client-server process, and concentrated on the mutual waits between client and SQL Server. This is essential in grasping the concept of waits in a ‘global’ application plan. Recently I was asked to write a blog post about the wait statistics in SQL Server and since I had been thinking about writing it for quite some time now, here it is. It is a wide-spread idea that the wait statistics in SQL Server will tell you everything about your performance. Well, almost. Or should I say – barely. The reason for this is that SQL Server is always a part of a bigger system – there are always other players in the game: whether it is a client application, web service, any other kind of data import/export process and so on. In short, the SQL Server surroundings look like this: This means that SQL Server, aside from its internal waits, also depends on external waits and settings. As we can see in the picture above, SQL Server needs to have an interface in order to communicate with the surrounding clients over the network. For this communication, SQL Server uses protocol interfaces. I will not go into detail about which protocols are best, but you can read this article. Also, review the information about the TDS (Tabular data stream). As we all know, our system is only as fast as its slowest component. This means that when we look at our environment as a whole, the SQL Server might be a victim of external pressure, no matter how well we have tuned our database server performance. Let’s dive into an example: let’s say that we have a web server, hosting a web application which is using data from our SQL Server, hosted on another server. The network card of the web server for some reason is malfunctioning (think of a hardware failure, driver failure, or just improper setup) and does not send/receive data faster than 10Mbs. On the other end, our SQL Server will not be able to send/receive data at a faster rate either. This means that the application users will notify the support team and will say: “My data is coming very slow.” Now, let’s move on to a bit more exciting example: imagine that there is a similar setup as the example above – one web server and one database server, and the application is not using any stored procedure calls, but instead for every user request the application is sending 80kb query over the network to the SQL Server. (I really thought this does not happen in real life until I saw it one day.) So, what happens in this case? To make things worse, let’s say that the 80kb query text is submitted from the application to the SQL Server at least 100 times per minute, and as often as 300 times per minute in peak times. Here is what happens: in order for this query to reach the SQL Server, it will have to be broken into a of number network packets (according to the packet size settings) – and will travel over the network. On the other side, our SQL Server network card will receive the packets, will pass them to our network layer, the packets will get assembled, and eventually SQL Server will start processing the query – parsing, allegorizing, generating the query execution plan and so on. So far, we have already had a serious network overhead by waiting for the packets to reach our Database Engine. There will certainly be some processing overhead – until the database engine deals with the 80kb query and its 20 subqueries. The waits you see in the DMVs are actually collected from the point the query reaches the SQL Server and the packets are assembled. Let’s say that our query is processed and it finally returns 15000 rows. These rows have a certain size as well, depending on the data types returned. This means that the data will have converted to packages (depending on the network size package settings) and will have to reach the application server. There will also be waits, however, this time you will be able to see a wait type in the DMVs called ASYNC_NETWORK_IO. What this wait type indicates is that the client is not consuming the data fast enough and the network buffers are filling up. Recently Pinal Dave posted a blog on Client Statistics. What Client Statistics does is captures the physical flow characteristics of the query between the client(Management Studio, in this case) and the server and back to the client. As you see in the image, there are three categories: Query Profile Statistics, Network Statistics and Time Statistics. Number of server roundtrips–a roundtrip consists of a request sent to the server and a reply from the server to the client. For example, if your query has three select statements, and they are separated by ‘GO’ command, then there will be three different roundtrips. TDS Packets sent from the client – TDS (tabular data stream) is the language which SQL Server speaks, and in order for applications to communicate with SQL Server, they need to pack the requests in TDS packets. TDS Packets sent from the client is the number of packets sent from the client; in case the request is large, then it may need more buffers, and eventually might even need more server roundtrips. TDS packets received from server –is the TDS packets sent by the server to the client during the query execution. Bytes sent from client – is the volume of the data set to our SQL Server, measured in bytes; i.e. how big of a query we have sent to the SQL Server. This is why it is best to use stored procedures, since the reusable code (which already exists as an object in the SQL Server) will only be called as a name of procedure + parameters, and this will minimize the network pressure. Bytes received from server – is the amount of data the SQL Server has sent to the client, measured in bytes. Depending on the number of rows and the datatypes involved, this number will vary. But still, think about the network load when you request data from SQL Server. Client processing time – is the amount of time spent in milliseconds between the first received response packet and the last received response packet by the client. Wait time on server replies – is the time in milliseconds between the last request packet which left the client and the first response packet which came back from the server to the client. Total execution time – is the sum of client processing time and wait time on server replies (the SQL Server internal processing time) Here is an illustration of the Client-server communication model which should help you understand the mutual waits in a client-server environment. Keep in mind that a query with a large ‘wait time on server replies’ means the server took a long time to produce the very first row. This is usual on queries that have operators that need the entire sub-query to evaluate before they proceed (for example, sort and top operators). However, a query with a very short ‘wait time on server replies’ means that the query was able to return the first row fast. However a long ‘client processing time’ does not necessarily imply the client spent a lot of time processing and the server was blocked waiting on the client. It can simply mean that the server continued to return rows from the result and this is how long it took until the very last row was returned. The bottom line is that developers and DBAs should work together and think carefully of the resource utilization in the client-server environment. From experience I can say that so far I have seen only cases when the application developers and the Database developers are on their own and do not ask questions about the other party’s world. I would recommend using the Client Statistics tool during new development to track the performance of the queries, and also to find a synchronous way of utilizing resources between the client – server – client. Here is another example: think about similar setup as above, but add another server to the game. Let’s say that we keep our media on a separate server, and together with the data from our SQL Server we need to display some images on the webpage requested by our user. No matter how simple or complicated the logic to get the images is, if the images are 500kb each our users will get the page slowly and they will still think that there is something wrong with our data. Anyway, I don’t mean to get carried away too far from SQL Server. Instead, what I would like to say is that DBAs should also be aware of ‘the big picture’. I wrote a blog post a while back on this topic, and if you are interested, you can read it here about the big picture. And finally, here are some guidelines for monitoring the network performance and improving it: Run a trace and outline all queries that return more than 1000 rows (in Profiler you can actually filter and sort the captured trace by number of returned rows). This is not a set number; it is more of a guideline. The general thought is that no application user can consume that many rows at once. Ask yourself and your fellow-developers: ‘why?’. Monitor your network counters in Perfmon: Network Interface:Output queue length, Redirector:Network errors/sec, TCPv4: Segments retransmitted/sec and so on. Make sure to establish a good friendship with your network administrator (buy them coffee, for example J ) and get into a conversation about the network settings. Have them explain to you how the network cards are setup – are they standalone, are they ‘teamed’, what are the settings – full duplex and so on. Find some time to read a bit about networking. In this short blog post I hope I have turned your attention to ‘the big picture’ and the fact that there are other factors affecting our SQL Server, aside from its internal workings. As a further reading I would still highly recommend the Wait Stats series on this blog, also I would recommend you have the coffee break conversation with your network admin as soon as possible. This guest post is written by Feodor Georgiev. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL

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  • rank on two dates - each date iteratively

    - by Abhi
    How to query for rank over 'value' for each day in the below table? Ex: IT should list out the 'mydate', 'value', 'rank' for all values on 20th and then do a fresh rank() for all values on 21st? Thanks... create table tv (mydate,value) as select to_date('20/03/2010 00','dd/mm/yyyy HH24'),98 from dual union all select to_date('20/03/2010 01','dd/mm/yyyy HH24'),124 from dual union all select to_date('20/03/2010 02','dd/mm/yyyy HH24'),140 from dual union all select to_date('20/03/2010 03','dd/mm/yyyy HH24'),138 from dual union all select to_date('20/03/2010 04','dd/mm/yyyy HH24'),416 from dual union all select to_date('20/03/2010 05','dd/mm/yyyy HH24'),196 from dual union all select to_date('20/03/2010 06','dd/mm/yyyy HH24'),246 from dual union all select to_date('20/03/2010 07','dd/mm/yyyy HH24'),176 from dual union all select to_date('20/03/2010 08','dd/mm/yyyy HH24'),124 from dual union all select to_date('20/03/2010 09','dd/mm/yyyy HH24'),128 from dual union all select to_date('20/03/2010 10','dd/mm/yyyy HH24'),32010 from dual union all select to_date('20/03/2010 11','dd/mm/yyyy HH24'),384 from dual union all select to_date('20/03/2010 12','dd/mm/yyyy HH24'),368 from dual union all select to_date('20/03/2010 13','dd/mm/yyyy HH24'),392 from dual union all select to_date('20/03/2010 14','dd/mm/yyyy HH24'),374 from dual union all select to_date('20/03/2010 15','dd/mm/yyyy HH24'),350 from dual union all select to_date('20/03/2010 16','dd/mm/yyyy HH24'),248 from dual union all select to_date('20/03/2010 17','dd/mm/yyyy HH24'),396 from dual union all select to_date('20/03/2010 18','dd/mm/yyyy HH24'),388 from dual union all select to_date('20/03/2010 19','dd/mm/yyyy HH24'),360 from dual union all select to_date('20/03/2010 20','dd/mm/yyyy HH24'),194 from dual union all select to_date('20/03/2010 21','dd/mm/yyyy HH24'),234 from dual union all select to_date('20/03/2010 22','dd/mm/yyyy HH24'),328 from dual union all select to_date('20/03/2010 23','dd/mm/yyyy HH24'),216 from dual union all select to_date('21/03/10 00','dd/mm/yyyy HH24'),224 from dual union all select to_date('21/03/10 01','dd/mm/yyyy HH24'),292 from dual union all select to_date('21/03/10 02','dd/mm/yyyy HH24'),264 from dual union all select to_date('21/03/10 03','dd/mm/yyyy HH24'),132 from dual union all select to_date('21/03/10 04','dd/mm/yyyy HH24'),142 from dual union all select to_date('21/03/10 05','dd/mm/yyyy HH24'),328 from dual union all select to_date('21/03/10 06','dd/mm/yyyy HH24'),184 from dual union all select to_date('21/03/10 07','dd/mm/yyyy HH24'),240 from dual union all select to_date('21/03/10 08','dd/mm/yyyy HH24'),224 from dual union all select to_date('21/03/10 09','dd/mm/yyyy HH24'),496 from dual union all select to_date('21/03/10 10','dd/mm/yyyy HH24'),370 from dual union all select to_date('21/03/10 11','dd/mm/yyyy HH24'),352 from dual union all select to_date('21/03/10 12','dd/mm/yyyy HH24'),438 from dual union all select to_date('21/03/10 13','dd/mm/yyyy HH24'),446 from dual union all select to_date('21/03/10 14','dd/mm/yyyy HH24'),426 from dual union all select to_date('21/03/10 15','dd/mm/yyyy HH24'),546 from dual union all select to_date('21/03/10 16','dd/mm/yyyy HH24'),546 from dual union all select to_date('21/03/10 17','dd/mm/yyyy HH24'),684 from dual union all select to_date('21/03/10 18','dd/mm/yyyy HH24'),568 from dual union all select to_date('21/03/10 19','dd/mm/yyyy HH24'),504 from dual union all select to_date('21/03/10 20','dd/mm/yyyy HH24'),392 from dual union all select to_date('21/03/10 21','dd/mm/yyyy HH24'),256 from dual union all select to_date('21/03/10 22','dd/mm/yyyy HH24'),236 from dual union all select to_date('21/03/10 23','dd/mm/yyyy HH24'),168 from dual

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  • I DISTINCTly hate MySQL (help building a query)

    - by Alex Mcp
    This is staight forward I believe: I have a table with 30,000 rows. When I SELECT DISTINCT 'location' FROM myTable it returns 21,000 rows, about what I'd expect, but it only returns that one column. What I want is to move those to a new table, but the whole row for each match. My best guess is something like SELECT * from (SELECT DISTINCT 'location' FROM myTable) or something like that, but it says I have a vague syntax error. Is there a good way to grab the rest of each DISTINCT row and move it to a new table all in one go?

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  • HTML Select and Text Input

    - by Vijay Dev
    We have all seen countless instances of forms with a select drop down having one of it's options as "Other" and on choosing that option, we get to see a input text box (which was hidden all along) asking us to type in our input. Is there a better way to implement this? Are there plugins out there which will let me do this better? Or are standard HTML elements suffice (some setting to a , may be) ?

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  • jQuery toggle div from select option

    - by Jeffrey
    I'm in need to toggle divs from a dropdown select option box. I'd like it similar to asmselect for jquery but instead of listing the option tag I'd like it to display a hidden div. Is there anything like this out there? Or anyone know how to set it up? Thanks, Jeff.

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  • Select distinct from multiple fields using sql

    - by Bryan
    I have 5 columns corresponding to answers in a trivia game database - right, wrong1, wrong2, wrong3, wrong4 I want to return all possible answers without duplicates. I was hoping to accomplish this without using a temp table. Is it possible to use something similar to this?: select c1, c2, count(*) from t group by c1, c2 But this returns 3 columns. I would like one column of distinct answers. Thanks for your time

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  • C# : Filtering data of data table using select method

    - by Royson
    I have data table containing one column as FilePath. FilePath D:\New folder\link.txt D:\New folder\SharepointMigration(Work Schedule).xls D:\New folder\my2\link.txt D:\New folder\my2\SharepointMigration(Work Schedule).xls D:\New folder\my2\my3\New Text Document.txt D:\New folder\Try.txt I am filtering my data table by DataRow[] dtRow = dataTable_FilesWithMetaData.Select("FilePath Like '" + sourcePath + "%'"); But it gives me all files and subfolder files. But i want only files not subfolders. How to write such type of filter expression..??

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  • SQL Select table1.columa as table1.columb

    - by Lukas Oppermann
    I am working on a database join and I want to do the following: Select tabel_one.id, tabel_one.title, tabel_one.content, table_two.value as table_two.key from tabel_one Join table_two ON table_two.id = table_one.id .... The Important part is: table_two.value as table_two.key Is there a way this could work?

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  • SQL Server: How can I SELECT FROM TABLE TO Other Format

    - by RedsDevils
    I have Table A. How can I select from Table A to get Table B Format. Table A Employee Name Effective Date FieldType FieldValue Maung Mya 1/1/2005 Title Project Engineer Maung Mya 1/1/2005 Department IT Department Maung Mya 1/1/2007 Title Assist Project Manager Kyaw Kyaw 1/1/2006 Title Software Engineer Kyaw Kyaw 1/1/2006 Department IT Department Table B Effective Date Employee Name Title Department 1/1/2007 Maung Mya Assist Project Manager IT Department 1/1/2006 Kyaw Kyaw Software Engineer IT Department Anyone please suggest me. Thanks in advance.

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