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  • Moving to Data Center

    - by Won
    Please, give me any advice. Our company has decided to move servers to a data center since we are having a major network traffic jam. The data center provides 100MB bandwidth and full 42 unit cabinet for us. Right now, I am planing to have two firewalls for a failover and changing DNS informations for a web server. Is there anything that I have aware of before I move them to the data center? 1. Web Server 2. Exchange Server 3. SQL Servers

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  • Data storage solutions for rapidly running out of space

    - by Grimlockz
    I have 2 web servers (1 live and other backup), the issue I have is our storage is rapidly running out. All the data on the server is used by our customers and new documents are uploaded to the server daily. So nothing can be deleted as it's always in use. We use a flat file structure with no database. I'm seeking solutions or ideas for the best place to move the our data to. The data has to be secure and needs to run on a linux environment. Not sure where to start - clusters, vmware, or they such solutions for huge file servers?

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  • Using truncate table alongside Hibernate?

    - by Marcus
    Is it OK to truncate tables while at the same time using Hibernate to insert data? We parse a big XML file with many relationships into Hibernate POJO's and persist to the DB. We are now planning on purging existing data at certain points in time by truncating the tables. Is this OK? It seems to work fine. We don't use Hibernate's second level cache. One thing I did notice, which is fine, is that when inserting we generate primary keys using Hibernate's @GeneratedValue where Hibernate just uses a key value one greater than the highest value in the table - and even though we are truncating the tables, Hibernate remembers the prior value and uses prior value + 1 as opposed to starting over at 1. This is fine, just unexpected. Note that the reason we do truncate as opposed to calling delete() on the Hibernate POJO's is for speed. We have gazillions of rows of data, and truncate is just so much faster.

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  • T-sql Common expression query as subquery

    - by ase69s
    I have the following query: WITH Orders(Id) AS ( SELECT DISTINCT anfrageid FROM MPHotlineAnfrageAnhang ) SELECT Id, ( SELECT CONVERT(VARCHAR(255),anfragetext) + ' | ' FROM MPHotlineAnfrageAnhang WHERE anfrageid = Id ORDER BY anfrageid, erstelltam FOR XML PATH('') ) AS Descriptions FROM Orders Its concatenates varchar values of diferents rows grouped by an id. But now i want to include it as a subquery and it gives some errors i cant solve. Simplified example of use: select descriptions from ( WITH Orders(Id) AS ( SELECT DISTINCT anfrageid FROM MPHotlineAnfrageAnhang ) SELECT Id, ( SELECT CONVERT(VARCHAR(255),anfragetext) + ' | ' FROM MPHotlineAnfrageAnhang WHERE anfrageid = Id ORDER BY anfrageid, erstelltam FOR XML PATH('') ) AS Descriptions FROM Orders ) as tx where id=100012 Errors (Aproximate translation from spanish): -Incorrect sintaxis near 'WITH'. -Incorrect sintaxis near 'WITH'. If the instruction is a common table expression or a xmlnamespaces clause, the previous instruction must end with semicolon. -Incorrect sintaxis near ')'. What im doing wrong?

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  • Page looks good in most browsers except in IE7...why

    - by reinhat
    Hi, The following page looks good in Firefox, Safari, Chrome, IE6 and IE8... but it looks bad in IE7. I don't have IE7 but I need to fix this issue because someone seen it in IE7 and it looks bad. Does anyone has any idea why this page renders different in IE7?...and what is the solution to make it display correctly? http://www.aetna.com/2009annualreport/mainBoard.html Problem: When you click on the "Board of Directors" or "Management Team" link and the listing table panel opens up, the far right third of the panel is getting cut off. Also some information appears to be missing in the cells. Thanks, Attila

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  • How to create a UDF that takes a query string and returns the query's resultset

    - by Martin
    I want to create a stored procedure that takes a simple SELECT statement and return the resultset as a CSV string. So the basic idea is get the sql statement from user input, run it using EXEC(@stmt) and convert the resultset to text using cursors. However, as SQLServer doesn't allow: select * from storedprocedure(@sqlStmt) UDF with EXEC(@sqlStmt) so I tried Insert into #tempTable EXEC(@sqlStmt), but this doesn't work (error = "invalid object name #tempTable"). I'm stuck. Could you please shed some light on this matter? Many thanks EDIT: Actually the output (e.g CSV string) is not important. The problem is I don't know how to assign a cursor to the resultset returned by EXEC. SP and UDF do not work with Exec() while creating a temp table before inserting values is impossible without knowing the input statement. I thought of OPENQUERY but it does not accept variables as its parameters.

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  • What's the convention for extending Linq with set based helper operations

    - by Luke Rohde
    Hi All I might be vaguing out here but I'm looking for a nice place to put set based helper operations in linq so I can do things like; db.Selections.ClearTemporary() which does something like db.DeleteAllOnSubmit(db.Selections.Where(s => s.Temporary)) Since I can figure out how to extend Table<Selection> the best I can do is create a static method in partial class of Selection (similar to Ruby) but I have to pass in the datacontext like; Selection.ClearTemporary(MyDataContext) This kind of sucks because I have two conventions for doing set based operations and I have to pass the data context to the static class. I've seen other people recommending piling helper methods into a partial of the datacontext like; myDataContext.ClearTemporarySelections(); But I feel this makes the dc a dumping ground for in-cohesive operations. Surely I'm missing something. I hope so. What's the convention? TIA

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  • What's the convention for extending Linq datacontext with set based helper operations specific to on

    - by Luke Rohde
    Hi All I might be vaguing out here but I'm looking for a nice place to put set based helper operations in linq so I can do things like; db.Selections.ClearTemporary() which does something like db.DeleteAllOnSubmit(db.Selections.Where(s => s.Temporary)) Since I can figure out how to extend Table<Selection> the best I can do is create a static method in partial class of Selection (similar to Ruby) but I have to pass in the datacontext like; Selection.ClearTemporary(MyDataContext) This kind of sucks because I have two conventions for doing set based operations and I have to pass the data context to the static class. I've seen other people recommending piling helper methods into a partial of the datacontext like; myDataContext.ClearTemporarySelections(); But I feel this makes the dc a dumping ground for in-cohesive operations. Surely I'm missing something. I hope so. What's the convention? TIA

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  • vb.net designing questions

    - by ferrer
    i have created a dynamic table through vb.net, so htmltable, htmltablerow, htmltablecell. I have added all style and properties in there. so eg. dim td as htmltablecell td.style.add("width","100px") td.style.add("color","blue") now what i want to do is add the tag to each row. this is because the first td of every row is a checkbox. and then textboxes follow. So when anyone clicks on the textbox, i want to checkbox to get checked. Any idea how I can do this?

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  • Adding new rows to a jQuery TableSorter with Pager

    - by macca1
    I have a basic table with the jQuery tableSorter on it in addition to a filter and pager: $("#myTable") .tablesorter({ debug: false, widgets: ['zebra'] }) .tablesorterFilter({ filterContainer: $("#filterBoxOne"), filterClearContainer: $("#filterClearOne"), filterColumns: [0, 1, 2], filterCaseSensitive: false }) .tablesorterPager({ container: $("#pagerOne"), positionFixed: false }); I'm trying to dynamically add a whole bunch of rows to it: function addRows() { $("#myTable tbody").append( $("#newRows").html() ); $("#myTable").trigger("update") .trigger("applyWidgets"); //.trigger("appendCache"); //tried this, didn't help } Everything is working fine except for the pager: it doesn't get updated when I add more rows, and upon clicking on one of the buttons (first, next, last, etc), the newly added rows disappear. Is there a way I can remove the pager and re-add it? Or is there some other way to achieve this?

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  • Solving Big Problems with Oracle R Enterprise, Part II

    - by dbayard
    Part II – Solving Big Problems with Oracle R Enterprise In the first post in this series (see https://blogs.oracle.com/R/entry/solving_big_problems_with_oracle), we showed how you can use R to perform historical rate of return calculations against investment data sourced from a spreadsheet.  We demonstrated the calculations against sample data for a small set of accounts.  While this worked fine, in the real-world the problem is much bigger because the amount of data is much bigger.  So much bigger that our approach in the previous post won’t scale to meet the real-world needs. From our previous post, here are the challenges we need to conquer: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In this post, we will show how we moved from sample data environment to working with full-scale data.  This post is based on actual work we did for a financial services customer during a recent proof-of-concept. Getting started with the Database At this point, we have some sample data and our IRR function.  We were at a similar point in our customer proof-of-concept exercise- we had sample data but we did not have the full customer data yet.  So our database was empty.  But, this was easily rectified by leveraging the transparency features of Oracle R Enterprise (see https://blogs.oracle.com/R/entry/analyzing_big_data_using_the).  The following code shows how we took our sample data SimpleMWRRData and easily turned it into a new Oracle database table called IRR_DATA via ore.create().  The code also shows how we can access the database table IRR_DATA as if it was a normal R data.frame named IRR_DATA. If we go to sql*plus, we can also check out our new IRR_DATA table: At this point, we now have our sample data loaded in the database as a normal Oracle table called IRR_DATA.  So, we now proceeded to test our R function working with database data. As our first test, we retrieved the data from a single account from the IRR_DATA table, pull it into local R memory, then call our IRR function.  This worked.  No SQL coding required! Going from Crawling to Walking Now that we have shown using our R code with database-resident data for a single account, we wanted to experiment with doing this for multiple accounts.  In other words, we wanted to implement the split-apply-combine technique we discussed in our first post in this series.  Fortunately, Oracle R Enterprise provides a very scalable way to do this with a function called ore.groupApply().  You can read more about ore.groupApply() here: https://blogs.oracle.com/R/entry/analyzing_big_data_using_the1 Here is an example of how we ask ORE to take our IRR_DATA table in the database, split it by the ACCOUNT column, apply a function that calls our SimpleMWRR() calculation, and then combine the results. (If you are following along at home, be sure to have installed our myIRR package on your database server via  “R CMD INSTALL myIRR”). The interesting thing about ore.groupApply is that the calculation is not actually performed in my desktop R environment from which I am running.  What actually happens is that ore.groupApply uses the Oracle database to perform the work.  And the Oracle database is what actually splits the IRR_DATA table by ACCOUNT.  Then the Oracle database takes the data for each account and sends it to an embedded R engine running on the database server to apply our R function.  Then the Oracle database combines all the individual results from the calls to the R function. This is significant because now the embedded R engine only needs to deal with the data for a single account at a time.  Regardless of whether we have 20 accounts or 1 million accounts or more, the R engine that performs the calculation does not care.  Given that normal R has a finite amount of memory to hold data, the ore.groupApply approach overcomes the R memory scalability problem since we only need to fit the data from a single account in R memory (not all of the data for all of the accounts). Additionally, the IRR_DATA does not need to be sent from the database to my desktop R program.  Even though I am invoking ore.groupApply from my desktop R program, because the actual SimpleMWRR calculation is run by the embedded R engine on the database server, the IRR_DATA does not need to leave the database server- this is both a performance benefit because network transmission of large amounts of data take time and a security benefit because it is harder to protect private data once you start shipping around your intranet. Another benefit, which we will discuss in a few paragraphs, is the ability to leverage Oracle database parallelism to run these calculations for dozens of accounts at once. From Walking to Running ore.groupApply is rather nice, but it still has the drawback that I run this from a desktop R instance.  This is not ideal for integrating into typical operational processes like nightly data warehouse refreshes or monthly statement generation.  But, this is not an issue for ORE.  Oracle R Enterprise lets us run this from the database using regular SQL, which is easily integrated into standard operations.  That is extremely exciting and the way we actually did these calculations in the customer proof. As part of Oracle R Enterprise, it provides a SQL equivalent to ore.groupApply which it refers to as “rqGroupEval”.  To use rqGroupEval via SQL, there is a bit of simple setup needed.  Basically, the Oracle Database needs to know the structure of the input table and the grouping column, which we are able to define using the database’s pipeline table function mechanisms. Here is the setup script: At this point, our initial setup of rqGroupEval is done for the IRR_DATA table.  The next step is to define our R function to the database.  We do that via a call to ORE’s rqScriptCreate. Now we can test it.  The SQL you use to run rqGroupEval uses the Oracle database pipeline table function syntax.  The first argument to irr_dataGroupEval is a cursor defining our input.  You can add additional where clauses and subqueries to this cursor as appropriate.  The second argument is any additional inputs to the R function.  The third argument is the text of a dummy select statement.  The dummy select statement is used by the database to identify the columns and datatypes to expect the R function to return.  The fourth argument is the column of the input table to split/group by.  The final argument is the name of the R function as you defined it when you called rqScriptCreate(). The Real-World Results In our real customer proof-of-concept, we had more sophisticated calculation requirements than shown in this simplified blog example.  For instance, we had to perform the rate of return calculations for 5 separate time periods, so the R code was enhanced to do so.  In addition, some accounts needed a time-weighted rate of return to be calculated, so we extended our approach and added an R function to do that.  And finally, there were also a few more real-world data irregularities that we needed to account for, so we added logic to our R functions to deal with those exceptions.  For the full-scale customer test, we loaded the customer data onto a Half-Rack Exadata X2-2 Database Machine.  As our half-rack had 48 physical cores (and 96 threads if you consider hyperthreading), we wanted to take advantage of that CPU horsepower to speed up our calculations.  To do so with ORE, it is as simple as leveraging the Oracle Database Parallel Query features.  Let’s look at the SQL used in the customer proof: Notice that we use a parallel hint on the cursor that is the input to our rqGroupEval function.  That is all we need to do to enable Oracle to use parallel R engines. Here are a few screenshots of what this SQL looked like in the Real-Time SQL Monitor when we ran this during the proof of concept (hint: you might need to right-click on these images to be able to view the images full-screen to see the entire image): From the above, you can notice a few things (numbers 1 thru 5 below correspond with highlighted numbers on the images above.  You may need to right click on the above images and view the images full-screen to see the entire image): The SQL completed in 110 seconds (1.8minutes) We calculated rate of returns for 5 time periods for each of 911k accounts (the number of actual rows returned by the IRRSTAGEGROUPEVAL operation) We accessed 103m rows of detailed cash flow/market value data (the number of actual rows returned by the IRR_STAGE2 operation) We ran with 72 degrees of parallelism spread across 4 database servers Most of our 110seconds was spent in the “External Procedure call” event On average, we performed 8,200 executions of our R function per second (110s/911k accounts) On average, each execution was passed 110 rows of data (103m detail rows/911k accounts) On average, we did 41,000 single time period rate of return calculations per second (each of the 8,200 executions of our R function did rate of return calculations for 5 time periods) On average, we processed over 900,000 rows of database data in R per second (103m detail rows/110s) R + Oracle R Enterprise: Best of R + Best of Oracle Database This blog post series started by describing a real customer problem: how to perform a lot of calculations on a lot of data in a short period of time.  While standard R proved to be a very good fit for writing the necessary calculations, the challenge of working with a lot of data in a short period of time remained. This blog post series showed how Oracle R Enterprise enables R to be used in conjunction with the Oracle Database to overcome the data volume and performance issues (as well as simplifying the operations and security issues).  It also showed that we could calculate 5 time periods of rate of returns for almost a million individual accounts in less than 2 minutes. In a future post, we will take the same R function and show how Oracle R Connector for Hadoop can be used in the Hadoop world.  In that next post, instead of having our data in an Oracle database, our data will live in Hadoop and we will how to use the Oracle R Connector for Hadoop and other Oracle Big Data Connectors to move data between Hadoop, R, and the Oracle Database easily.

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  • Zend Framework - applying order by on a nested query

    - by Gublooo
    Hey guys This might be a very simple thing. Check out the normal sql query below (select * from shopping order by shopping_id desc limit 5) order by RAND() This query runs successfully in mysql - not sure if this is the right way of doing it - but it works. It gets the last 5 ids from shopping table and randomly orders them everytime I want to achieve this in Zend. I'm not sure how to execute the first part and then apply the RAND clause to the results - what I have below does not do that. $select = $this-select() -from(array('sh'='shopping')) -order('shopping_id desc') -limit(5) -order('RAND()');

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  • Recordset manipulation in SSIS

    - by JSacksteder
    In my SSIS job, I have a need to accumulate a set of rows and commit them all transitionally when processing has completed successfully. If this was pure SQL, I would use a temp table inside a transaction. In SSIS there are a number of issues complicating this. It's difficult to have multiple components share the same transaction and having temp tables that do not exist at design time is a pain. If I use Recordsets inside SSIS for this purpose, there are other issues. My understanding is that an 'Execute SQL' component will re-initialize the Recordset when it runs, so I can't use that to append an additional row. Is there a way to create an OLE DB connection that references an in-memory Recordset? Is there a better way to achieve this result?

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  • QGrid display default "loading" message when updating a table / on custom update

    - by JVXR
    I have a case where I need to update a jqgrid based on some search criteria which the user selects. I can get the data to update , but I would want the loading message to show while the new data is being fetched. Can someone please let me know how to get that working ? Current code follows var ob_gridContents = $.ajax( { url : '/DisplayObAnalysisResults.action?getCustomAnalysisResults', data : "portfolioCategory="+ $('#portfolioCategory').val() +"&subPortfolioCategory="+ $('#subPortfolioCategory').val() + "&subportfolio=" + $('#subportfolio').val(), async : false }).responseText; var ob_Grid = jQuery('#OBGrid')[0]; var ob_GridJsonContents = eval('(' + ob_gridContents + ')'); $('#ob_Grid').trigger("reloadGrid"); ob_Grid.addJSONData(ob_GridJsonContents); ob_Grid = null; ob_GridJsonContents = null; }

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  • ASP.NET error when trying to configure ListView + SqlDatasource for a MySql Table

    - by stighy
    Hi, i'm using ASP.NET + a MySql Db. I'm trying to configure a ListView so i've written: <asp:SqlDataSource ID="dsDatiUtente" runat="server" ConnectionString="Server=12.28.136.29;Database=mydb;Uid=m111d1;Pwd=fake;Pooling=false;" ProviderName="MySql.Data.MySqlClient" SelectCommand="SELECT * FROM user WHERE idUser=@IdUser" / At the beginning of my aspx page i've added <%@ Import Namespace="MySql.Data.MySqlClient" %> But if i click to the sqldatasource and click "Refresh Schema" i got this error: "Unable to retrive schema.... Unable to find the requested .Net Framework data provider" For instance, i've installed it , but i've also uninstalled old version, then installed new versions. In my project i simple copy Mysql dll into "bin" folder, then add a reference to that dll. I'm not sure is the corrected way... I need to have the "refreshed schema" to permit vs.net to build automatically my listview ... if i can't to "auto build" listview, i have to write all code by hand, and it is a too expensive work me :( What i'm wrong ? Thank you!

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  • How to set width of textbox to be same as MaxLength in ASP.NET

    - by John Galt
    Is there a way I can limit the width of a textbox to be equal to the MaxLength property? In my case right now, the textbox control is placed in a table cell as in this snippet: <td class=TDSmallerBold style="width:90%"> <asp:textbox id="txtTitle" runat="server" CausesValidation="true" Text="Type a title here..be concise but descriptive. Include price." ToolTip="Describe the item with a short pithy title (most important keywords first). Include the price. The title you provide here will be the primary text found by search engines that index Zipeee content." MaxLength="60" Width="100%"> </asp:textbox> (I know I should not use HTML tables to control layout..another subject for sure) but is there a way to constrain the actual width to the max number of characters allowed in the typed box?

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  • Standard Network Tiers in a Distributed N-Tier System

    Distributed N-Tier client/server architecture allows for segments of an application to be broken up and distributed across multiple locations on a network.  Listed below are standard tiers in a Distributed N-Tier System. End-User Client Tier The End-User Client is responsible for sending and receiving requests from web servers and other applications servers and translating the responses so that the End-User can interpret the data effectively. The primary roles for this tier are to communicate with servers and translate server responses back to the end-user to interpret. Business-Specific Functions Validate Data Display Data Send Data to Webserver Web Server Tier The Web server tier processes new requests for information coming in from the HTTP and HTTPS ports. This primarily handles the generation of user interfaces and calls the application server when needed to access Data and business logic when needed. Business-specific functions Send Data to application server Format Data for Display Validate Data Application Server Tier The application server stores and executes predefined business logic that is applied to various pieces of data as the business determines. The processed data is then returned back to the Webserver. Additionally, this server directly calls the database to obtain and store any data used by the system Business-Specific Functions Validate Data Process Data Send Data to Database Server Database Server Tier The Database Server is responsible for storing and returning all data need by the calling applications. The primary role for this this server is storage. Data is stored as needed and can be recalled at any point later in time. Business-Specific Functions Insert Data Delete Data Return Data to Application Server

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  • CSS Gridlines For Alternating Columns

    - by Michael
    I have created a table with 20 rows and 10 columns. I would like to create a gridline separating every two columns. So, between column 2 and 3 there would be a line separating them. There should also be lines separating columns 4 and 5, coulumns 6 and 7, and columns 8 and 9. But I do not want to have a line separating columns 1 and 2, or columns 3 and 4, etc. Is there any way to do this with CSS? I have tried creating a left border on each individual cell of the column, but it does not give me a solid line going down the column. Any help would be greatly appreciated.

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  • R data.frame with stacked specified titles for latex output with xtable

    - by hhh
    > w<-data.frame(c(0,0,1,1.3,2.1), c(0,0.6,0.9,1.6091,1.6299), c(258,141,206.4,125.8,140.5), c(162,162.7,162.4,162,162)) > colnames(w) <- c('Worst Cum', 'Best Cum', 'Worst Points', 'Best Points' ) Wrong (the code) Worst Cum Best Cum Worst Points Best Points 1 0.0 0.0000 258.0 162.0 2 0.0 0.6000 141.0 162.7 3 1.0 0.9000 206.4 162.4 4 1.3 1.6091 125.8 162.0 5 2.1 1.6299 140.5 162.0 Goal: how? CUM Points Worst Best Worst Best 1 0.0 0.0000 258.0 162.0 2 0.0 0.6000 141.0 162.7 3 1.0 0.9000 206.4 162.4 4 1.3 1.6091 125.8 162.0 5 2.1 1.6299 140.5 162.0 Trial 1: fail with many data.frames > a<-data.frame(c(0,0,1,1.3,2.1), c(0,0.6,0.9,1.6091,1.6299)) > b<-data.frame(c(258,141,206.4,125.8,140.5), c(162,162.7,162.4,162,162)) > c<-data.frame(cbind(a,b)) > colnames(c) <- c('Cum', 'Points') > colnames(a) <- c('Worst', 'Best') > colnames(b) <- c('Worst', 'Best') and > xtable(c) % latex table generated in R 2.13.1 by xtable 1.6-0 package % Thu Nov 24 03:43:34 2011 \begin{table}[ht] \begin{center} \begin{tabular}{rrrrr} \hline & Cum & Points & NA & NA \\ \hline 1 & 0.00 & 0.00 & 258.00 & 162.00 \\ 2 & 0.00 & 0.60 & 141.00 & 162.70 \\ 3 & 1.00 & 0.90 & 206.40 & 162.40 \\ 4 & 1.30 & 1.61 & 125.80 & 162.00 \\ 5 & 2.10 & 1.63 & 140.50 & 162.00 \\ \hline \end{tabular} \end{center} \end{table} > xtable(a) % latex table generated in R 2.13.1 by xtable 1.6-0 package % Thu Nov 24 03:45:06 2011 \begin{table}[ht] \begin{center} \begin{tabular}{rrr} \hline & Worst & Best \\ \hline 1 & 0.00 & 0.00 \\ 2 & 0.00 & 0.60 \\ 3 & 1.00 & 0.90 \\ 4 & 1.30 & 1.61 \\ 5 & 2.10 & 1.63 \\ \hline \end{tabular} \end{center} \end{table} It is wrong because it replaces the inner headers with higher-level header nb "NA" vals.

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  • free public databases with non-trivial table structures?

    - by Caffeine Coma
    I'm looking for some sample database data that I can use for testing and demonstrating a DB tool I am working on. I need a DB that has (preferably) many tables, and many foreign key relationships between the tables. Ideally the data would be in SQL dump format, or at least in something that maintains the foreign key references, and could be easily import into an RDBMS (MySQL or H2). The dataset itself doesn't have to be huge (in fact, best if it's not). I thought about using the Stackoverflow Data Dump, but it's only about 5 tables.

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  • Multiple data series in real time plot

    - by Gr3n
    Hi, I'm kind of new to Python and trying to create a plotting app for values read via RS232 from a sensor. I've managed (after some reading and copying examples online) to get a plot working that updates on a timer which is great. My only trouble is that I can't manage to get multiple data series into the same plot. Does anyone have a solution to this? This is the code that I've worked out this far: import os import pprint import random import sys import wx # The recommended way to use wx with mpl is with the WXAgg backend import matplotlib matplotlib.use('WXAgg') from matplotlib.figure import Figure from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigCanvas, NavigationToolbar2WxAgg as NavigationToolbar import numpy as np import pylab DATA_LENGTH = 100 REDRAW_TIMER_MS = 20 def getData(): return int(random.uniform(1000, 1020)) class GraphFrame(wx.Frame): # the main frame of the application def __init__(self): wx.Frame.__init__(self, None, -1, "Usart plotter", size=(800,600)) self.Centre() self.data = [] self.paused = False self.create_menu() self.create_status_bar() self.create_main_panel() self.redraw_timer = wx.Timer(self) self.Bind(wx.EVT_TIMER, self.on_redraw_timer, self.redraw_timer) self.redraw_timer.Start(REDRAW_TIMER_MS) def create_menu(self): self.menubar = wx.MenuBar() menu_file = wx.Menu() m_expt = menu_file.Append(-1, "&Save plot\tCtrl-S", "Save plot to file") self.Bind(wx.EVT_MENU, self.on_save_plot, m_expt) menu_file.AppendSeparator() m_exit = menu_file.Append(-1, "E&xit\tCtrl-X", "Exit") self.Bind(wx.EVT_MENU, self.on_exit, m_exit) self.menubar.Append(menu_file, "&File") self.SetMenuBar(self.menubar) def create_main_panel(self): self.panel = wx.Panel(self) self.init_plot() self.canvas = FigCanvas(self.panel, -1, self.fig) # pause button self.pause_button = wx.Button(self.panel, -1, "Pause") self.Bind(wx.EVT_BUTTON, self.on_pause_button, self.pause_button) self.Bind(wx.EVT_UPDATE_UI, self.on_update_pause_button, self.pause_button) self.hbox1 = wx.BoxSizer(wx.HORIZONTAL) self.hbox1.Add(self.pause_button, border=5, flag=wx.ALL | wx.ALIGN_CENTER_VERTICAL) self.vbox = wx.BoxSizer(wx.VERTICAL) self.vbox.Add(self.canvas, 1, flag=wx.LEFT | wx.TOP | wx.GROW) self.vbox.Add(self.hbox1, 0, flag=wx.ALIGN_LEFT | wx.TOP) self.panel.SetSizer(self.vbox) #self.vbox.Fit(self) def create_status_bar(self): self.statusbar = self.CreateStatusBar() def init_plot(self): self.dpi = 100 self.fig = Figure((3.0, 3.0), dpi=self.dpi) self.axes = self.fig.add_subplot(111) self.axes.set_axis_bgcolor('white') self.axes.set_title('Usart data', size=12) pylab.setp(self.axes.get_xticklabels(), fontsize=8) pylab.setp(self.axes.get_yticklabels(), fontsize=8) # plot the data as a line series, and save the reference # to the plotted line series # self.plot_data = self.axes.plot( self.data, linewidth=1, color="blue", )[0] def draw_plot(self): # redraws the plot xmax = len(self.data) if len(self.data) > DATA_LENGTH else DATA_LENGTH xmin = xmax - DATA_LENGTH ymin = 0 ymax = 4096 self.axes.set_xbound(lower=xmin, upper=xmax) self.axes.set_ybound(lower=ymin, upper=ymax) # enable grid #self.axes.grid(True, color='gray') # Using setp here is convenient, because get_xticklabels # returns a list over which one needs to explicitly # iterate, and setp already handles this. # pylab.setp(self.axes.get_xticklabels(), visible=True) self.plot_data.set_xdata(np.arange(len(self.data))) self.plot_data.set_ydata(np.array(self.data)) self.canvas.draw() def on_pause_button(self, event): self.paused = not self.paused def on_update_pause_button(self, event): label = "Resume" if self.paused else "Pause" self.pause_button.SetLabel(label) def on_save_plot(self, event): file_choices = "PNG (*.png)|*.png" dlg = wx.FileDialog( self, message="Save plot as...", defaultDir=os.getcwd(), defaultFile="plot.png", wildcard=file_choices, style=wx.SAVE) if dlg.ShowModal() == wx.ID_OK: path = dlg.GetPath() self.canvas.print_figure(path, dpi=self.dpi) self.flash_status_message("Saved to %s" % path) def on_redraw_timer(self, event): if not self.paused: newData = getData() self.data.append(newData) self.draw_plot() def on_exit(self, event): self.Destroy() def flash_status_message(self, msg, flash_len_ms=1500): self.statusbar.SetStatusText(msg) self.timeroff = wx.Timer(self) self.Bind( wx.EVT_TIMER, self.on_flash_status_off, self.timeroff) self.timeroff.Start(flash_len_ms, oneShot=True) def on_flash_status_off(self, event): self.statusbar.SetStatusText('') if __name__ == '__main__': app = wx.PySimpleApp() app.frame = GraphFrame() app.frame.Show() app.MainLoop()

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  • Dealing with a badly formatted CSV file

    - by Josh K
    I have an exceptionally bad CSV file. Although I "solved" the problem in the end by manually writing scripts to process and reprocess this specific file I wanted to know if there were any other solutions out there. You have a CSV file that has all the fields terminated by | (pipe) characters. Running a quick check shows you that there are 53 fields in the file. The person who gave you the file claims there there are only 28 fields. Not all of the fields have information in them. For example there are five custom_field_{num} fields which may or may not have data. How would you get this into a database nicely? The ideal solution (and one I searched high and low for) would be to just throw it all into a table with no column names or specifications. Then remove any columns that were completely blank and then give them titles and specifications.

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  • advantages of Zend_Db_Table vs raw (My)SQL?

    - by sunwukung
    Currently working on a new Zend application and developing the Model. Having worked with Zend_Db_Table before, I opted to replace references in the Model to the Table API with a custom SQL script to take care of data access duties. Now I'm looking at developing a new application/domain model, and I wanted to get some feedback from people re: their experiences with Zend_Db API vs raw SQL, and use cases where it would be preferable to use the API. From a project perspective, the DB platform is unlikely to change from MySQL - so it doesn't need to be particularly abstract - and I assume writing a custom SQL API will be more performant than the assorted classes the Zend DB API requires.

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  • Style:Display and Visibility errors ?

    - by dhaliwaljee
    < table border="1" cellpadding="0" cellspacing="0" width="100%"> < tr> < td>1< /td> < td>1< /td> < td>1< /td> < td>1< /td> < td>1< /td> </tr> < tr style="display:block "> < td>2< /td> < td>2< /td> < td>2< /td> < td>2< /td> < td>2< /td> </ tr> < tr style="visibility:hidden "> < td>3< /td> < td>3< /td> < td>3< /td> < td>3< /td> < td>3< /td> < /tr> < tr style="visibility:hidden "> < td>4< /td> < td>4< /td> < td>4< /td> < td>4< /td> < td>4< /td> < /tr> < tr> < td>5< /td> < td>5< /td> < td>5< /td> < td>5< /td> < td>5< /td> < /tr> < tr> < td>6< /td> < /tr> < tr> < td>7< /td> < /tr> < /table> see the code I am using visibility and display for hidden or showing rows but both have errors Visibility hide the row but do not removed space, like "display:none", I can use "display" but it is not working properly with safari and Firefox. Please give me solution for it. My requirement is:- Hide the row and also removed its space on all browsers.

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  • How to design this simple database?

    - by Vafello
    I have 2 tables - one storing user information (id, username, password) and the second one storing information about events (id, name, description, date, username(represents the user who created the event)). I would like to implement 'favourite events' functionality. This would allow the user to store his favourite events and later display them in a list. I am not sure how to implement this in terms of design. I need a simple solution. Something like storing the IDs of favourite events in a field in the user table. I am using mysql and php. Can anyone point me to the right direction?

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