Search Results

Search found 66013 results on 2641 pages for 'big data analytics'.

Page 38/2641 | < Previous Page | 34 35 36 37 38 39 40 41 42 43 44 45  | Next Page >

  • Extracting the Layout of all the Data Forms from the Relational Database

    - by RahulS
    Today I came across a question from one of our clients that: "what members are used on each data form WITHOUT having to go through the report generated out of our Planning app". We worked with client on this and reached to a simple query. All the form related information is stored in the following tables: HSP_FORM HSP_FORMOBJ_DEF HSP_FORMOBJ_DEF_MBR HSP_FORM_ATTRIBUTES HSP_FORM_CALCS HSP_FORM_DV_CONDITION HSP_FORM_DV_PM_RULE HSP_FORM_DV_RULE HSP_FORM_DV_USER_IN_PM_RULE HSP_FORM_LAYOUT HSP_FORM_MENUS HSP_FORM_VARIABLES If we want to retrieve just the members included, we can concentrate on: HSP_OBJECT to get the Object_ID for form, Object_Type is 7 for forms. (Ex: Select * from HSP_OBJECT where OBJECT_TYPE = 7) HSP_FORMOBJ_DEF Find the OBJDEF_ID for a particular form HSP_FORMOBJ_DEF_MBR Use the above OBJDEF_ID to find the members: Here the Mbr_ID is the Id of the member and Query_Type is the Function like Idesc, Level0 etc and Sequce is you sequence, And the final table we can use is HSP_FORM_LAYOUT: Layout_Type: 0->Pov 1-> Page, 2->Row, 3->Col, DIM_ID is the dimension ID and Ordinal is position. Here is the Query: SELECT HSP_OBJECT.OBJECT_NAME AS 'Form',  HSP_OBJECT_2.OBJECT_NAME AS 'Dimension',  HSP_OBJECT_1.OBJECT_NAME AS 'Member',  HSP_FORMOBJ_DEF_MBR.QUERY_TYPE FROM  <DatabaseName>.dbo.HSP_FORM_LAYOUT HSP_FORM_LAYOUT,  <DatabaseName>.dbo.HSP_FORMOBJ_DEF HSP_FORMOBJ_DEF,  <DatabaseName>.dbo.HSP_FORMOBJ_DEF_MBR HSP_FORMOBJ_DEF_MBR,  <DatabaseName>.dbo.HSP_MEMBER HSP_MEMBER,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT_1,  <DatabaseName>.dbo.HSP_OBJECT HSP_OBJECT_2 WHERE  HSP_OBJECT.OBJECT_ID = HSP_FORMOBJ_DEF.FORM_ID AND  HSP_FORMOBJ_DEF_MBR.OBJDEF_ID = HSP_FORMOBJ_DEF.OBJDEF_ID AND  HSP_MEMBER.MEMBER_ID = HSP_FORMOBJ_DEF_MBR.MBR_ID AND  HSP_OBJECT_1.OBJECT_ID = HSP_MEMBER.MEMBER_ID AND  HSP_OBJECT_2.OBJECT_ID = HSP_MEMBER.DIM_ID AND  HSP_FORM_LAYOUT.DIM_ID = HSP_MEMBER.DIM_ID AND  HSP_FORM_LAYOUT.FORM_ID = HSP_FORMOBJ_DEF.FORM_ID AND  ((HSP_OBJECT.OBJECT_TYPE=7)) ORDER BY HSP_OBJECT.OBJECT_NAME  Concentrate on Test1 data form and Actual Layout of it as follows: Corresponding Query_type for few of the functions: 9  for Idesc, 3  for Ancestors, -9 for ILvl0Des, 8  for Desc, 4  for IAncestors Its just a basic idea you can do lot on the basis of this. Cheers..!!! Rahul S. http://www.facebook.com/pages/HyperionPlanning/117320818374228

    Read the article

  • Sorting data in the SSIS Pipeline (Video)

    In this post I want to show a couple of ways to order the data that comes into the pipeline.  a number of people have asked me about this primarily because there are a number of ways to do it but also because some components in the pipeline take sorted inputs.  One of the methods I show is visually easy to understand and the other is less visual but potentially more performant.

    Read the article

  • Application Crash cleared the content of the Folder

    - by Ameya
    Recently while working on the LinuxDC++ over the network the application crashed while downloading files. Now my Downloads folder which had at least 60-80GB of data is completely cleaned but the system is not reporting the available the correct free space. Is there way to restore the contents of the folder only as the solution available are for the whole partition. I just want to recover the contents from one folder.

    Read the article

  • What's beyond c,c++ and data structure?

    - by sagacious
    I have learnt c and c++ programming languages.i have learnt data structure too. Now i'm confused what to do next?my aim is to be a good programmer. i want to go deeper into the field of programming and making the practical applications of what i have learnt. So,the question takes the form-what to do next?Or is there any site where i can see advantage of every language with it's features? sorry,if there's any language error and thanks in advance.

    Read the article

  • Five stars of open data - example and review

    - by Joe
    (there may be a more suited SE site for this question so feel free to shift) I have some data I'd like to make open to the public - It's synatesis of some related data retrived from freedom of infomation requests over the last year. The data itself is at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.csv or for fans of Excel, at http://www.cs.rhul.ac.uk/home/joseph/domesday/Domesday-Scotland.xlsx . It's no more than a table with about five columns. I'd like to make this properly open data, so I was looking at the 5 star deployment scheme for Open Data. Much of which is fine but I'm confused towards the end and I could do with an explenation from people who know the answers. So to get achieve the star levels I need: "make your stuff available on the Web (whatever format) under an open license" trival - all I have to do is put the notes up on the page that will give the provance of the data. "make it available as structured data (e.g., Excel instead of image scan of a table)"… done… "use non-proprietary formats (e.g., CSV instead of Excel)" - done… "use URIs to identify things, so that people can point at your stuff" - this is where I start to get a bit hazy - does this mean there should be an URI for every line in the table? "link your data to other data to provide context" - this isn't massively clear to me - does this mean to give the provence of the data? One column of the data I've put out is a link to where the data came from - is that the sort of thing we're looking at? Any and all information and answers welcome… EDIT - or if anyone wants to recommend a place SE or other place to ask the question - that would be cool...

    Read the article

  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

    Read the article

  • Building vs. Buying a Master Data Management Solution

    - by david.butler(at)oracle.com
    Many organizations prefer to build their own MDM solutions. The argument is that they know their data quality issues and their data better than anyone. Plus a focused solution will cost less in the long run then a vendor supplied general purpose product. This is not unreasonable if you think of MDM as a point solution for a particular data quality problem. But this approach carries significant risk. We now know that organizations achieve significant competitive advantages when they deploy MDM as a strategic enterprise wide solution: with the most common best practice being to deploy a tactical MDM solution and grow it into a full information architecture. A build your own approach most certainly will not scale to a larger architecture unless it is done correctly with the larger solution in mind. It is possible to build a home grown point MDM solution in such a way that it will dovetail into broader MDM architectures. A very good place to start is to use the same basic technologies that Oracle uses to build its own MDM solutions. Start with the Oracle 11g database to create a flexible, extensible and open data model to hold the master data and all needed attributes. The Oracle database is the most flexible, highly available and scalable database system on the market. With its Real Application Clusters (RAC) it can even support the mixed OLTP and BI workloads that represent typical MDM data access profiles. Use Oracle Data Integration (ODI) for batch data movement between applications, MDM data stores, and the BI layer. Use Oracle Golden Gate for more real-time data movement. Use Oracle's SOA Suite for application integration with its: BPEL Process Manager to orchestrate MDM connections to business processes; Identity Management for managing users; WS Manager for managing web services; Business Intelligence Enterprise Edition for analytics; and JDeveloper for creating or extending the MDM management application. Oracle utilizes these technologies to build its MDM Hubs.  Customers who build their own MDM solution using these components will easily migrate to Oracle provided MDM solutions when the home grown solution runs out of gas. But, even with a full stack of open flexible MDM technologies, creating a robust MDM application can be a daunting task. For example, a basic MDM solution will need: a set of data access methods that support master data as a service as well as direct real time access as well as batch loads and extracts; a data migration service for initial loads and periodic updates; a metadata management capability for items such as business entity matrixed relationships and hierarchies; a source system management capability to fully cross-reference business objects and to satisfy seemingly conflicting data ownership requirements; a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship; a set of data quality functions that can manage structured and unstructured data; a data quality interface to assist with preventing new errors from entering the system even when data entry is outside the MDM application itself; a continuing data cleansing function to keep the data up to date; an internal triggering mechanism to create and deploy change information to all connected systems; a comprehensive role based data security system to control and monitor data access, update rights, and maintain change history; a flexible business rules engine for managing master data processes such as privacy and data movement; a user interface to support casual users and data stewards; a business intelligence structure to support profiling, compliance, and business performance indicators; and an analytical foundation for directly analyzing master data. Oracle's pre-built MDM Hub solutions are full-featured 3-tier Internet applications designed to participate in the full Oracle technology stack or to run independently in other open IT SOA environments. Building MDM solutions from scratch can take years. Oracle's pre-built MDM solutions can bring quality data to the enterprise in a matter of months. But if you must build, at lease build with the world's best technology stack in a way that simplifies the eventual upgrade to Oracle MDM and to the full enterprise wide information architecture that it enables.

    Read the article

  • Importing data from text file to specific columns using BULK INSERT

    - by Dinesh Asanka
    Bulk insert is much faster than using other techniques such as  SSIS. However, when you are using bulk insert you can’t insert to specific columns. If, for example, there are five columns in a table you should have five values for each record in the text file you are importing from. This is an issue when you are expecting default values to be inserted into tables. Let us say you have table as below: In this table, you are expecting ID, Status and CreatedDate to be updated automatically, so your text file may only have   FirstName  LastName  values as below: Dinesh,Asanka Saman,Liyanage Ruwan,Silva Susantha,Bathige Jude,Peires Sanjeewa,Jayawickrama If you use bulk insert to this table like follows, You will be returned an error: Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1, column 1 (ID). To avoid this you will need to create a view with the columns you are expecting to fill and use bulk insert against it. If you check the table now, you will see table with values in the text file and the default values.

    Read the article

  • “Big Data” Is A Small Concept Unless You Can Apply It To The Customer Experience

    - by Michael Hylton
    There’s been a lot of recent talk in the industry about “big data”.  Much can be said about the importance of big data and the results from it, but you need to always consider the customer experience when analyzing and applying customer data. Personalization and merchandising drive the user experience.  Big data should enable you to gain valuable insight into each of your customers and apply that insight at the moment they are on your Web site, talking to one of your call center agents, or any other touchpoint.  While past customer experience is important, you need to combine that with what your customer is doing on your Web site now as well what they are doing and saying on social networking sites.  It’s key to have a 360 degree view of your customer across all of your touchpoints in order to provide that relevant and consistent experience that they come to expect when interacting with your brand. Big data can enable you to effectively market, merchandize, and recommend the right products to the right customers and the right time.  By taking customer data and applying it to product recommendations, you have an opportunity to gain a greater share of wallet through the cross-selling and up-selling of additional products and services.  You can also build sustaining loyalty programs to continue to engage with your customers throughout their long-term relationship with your brand.

    Read the article

  • “Big Data” Is A Small Concept Unless You Can Apply It To The Customer Experience

    - by Michael Hylton
    There’s been a lot of recent talk in the industry about “big data”.  Much can be said about the importance of big data and the results from it, but you need to always consider the customer experience when analyzing and applying customer data. Personalization and merchandising drive the user experience.  Big data should enable you to gain valuable insight into each of your customers and apply that insight at the moment they are on your Web site, talking to one of your call center agents, or any other touchpoint.  While past customer experience is important, you need to combine that with what your customer is doing on your Web site now as well what they are doing and saying on social networking sites.  It’s key to have a 360 degree view of your customer across all of your touchpoints in order to provide that relevant and consistent experience that they come to expect when interacting with your brand. Big data can enable you to effectively market, merchandize, and recommend the right products to the right customers and the right time.  By taking customer data and applying it to product recommendations, you have an opportunity to gain a greater share of wallet through the cross-selling and up-selling of additional products and services.  You can also build sustaining loyalty programs to continue to engage with your customers throughout their long-term relationship with your brand.

    Read the article

  • Javascript: Safely upload a client data file

    - by Jeffrey Sweeney
    I'm (still) working on a template-based XML editing program. It's a GUI-based XML editor that only allows users to add certain tags and attributes based off the requirements. You can see the current version here for an idea. Now, I'd like to allow users to upload their own data templates, but I'm concerned about potential XSS hacks. Currently, the template file is in Javascript object literal notation, which unsurprisingly is a security nightmare if the user can upload their own. I was thinking of using XML instead, but is there an even better alternative?

    Read the article

  • Reuse the data CRUD methods in data access layer, but they are updated too quickly

    - by ValidfroM
    I agree that we should put CRUD methods in a data access layer, However, in my current project I have some issues. It is a legacy system, and there are quite a lot CRUD methods in some concrete manager classes. People including me seem to just add new methods to it, rather than reuse the existing methods. Because We don't know whether the existing method is what we need Even if we have source code, do we really need read other's code then make decision? It is updated too quickly. Do not have time get familiar with the DAO API. Back to the question, how do you solve that in your project? If we say "reuse", it really needs to be reusable rather than just an excuse.

    Read the article

  • Design: How to model / where to store relational data between classes

    - by Walker
    I'm trying to figure out the best design here, and I can see multiple approaches, but none that seems "right." There are three relevant classes here: Base, TradingPost, and Resource. Each Base has a TradingPost which can offer various Resources depending on the Base's tech level. Where is the right place to store the minimum tech level a base must possess to offer any given resource? A database seems like overkill. Putting it in each subclass of Resource seems wrong--that's not an intrinsic property of the Resource. Do I have a mediating class, and if so, how does it work? It's important that I not be duplicating code; that I have one place where I set the required tech level for a given item. Essentially, where does this data belong? P.S. Feel free to change the title; I struggled to come up with one that fits.

    Read the article

  • Still no detected structured data in Google Webmaster Tools [on hold]

    - by user6211
    Can you give me some suggestions what's wrong with my structured data? Google still cannot read it. It looks like this: <div class="identity"> <div itemscope itemtype="http://schema.org/LocalBusiness"> <a itemprop="url" href="http://MYDOMAIN.co.uk/"><div itemprop="name"><strong>MY_COMPANY</strong></div></a> <div itemprop="address" itemscope itemtype="http://schema.org/PostalAddress"> <span itemprop="streetAddress">MY_ADDRESS</span>, <span itemprop="addressLocality">London</span>, <span itemprop="postalCode">SE5 MY_XYZ</span>, <span itemprop="addressCountry">UK</span> </div> </div> </div>

    Read the article

  • Consolidating hotels data from various booking sites with different IDs or reference

    - by Victor
    In one of my projects, I have data for hotels, and other booking sites are able to book this hotel. For example: Hotel A - Booking (ID = 4002), Expedia (ID = 123), Priceline (ID = 147) The three booking engines each uses their own Id to reference to Hotel A. I would need to check manually and make the right reference to the hotel. If I have 100,000 hotels, I have to check manually 300,000 (considering 3 booking sites) times? They might provide API, then I can cross check the name, address or latitude/longitude, but if they differ a little bit then I might give the wrong reference to the wrong hotel. I'm sure there are better ways to do this. There are many travel sites out there which do hotel price checking on many booking sites, but how do they do to make sure they are checking the right hotel on these booking sites? Anyone has any experience on this?

    Read the article

  • Mount external HD ubuntu 12.10

    - by Luigi Tiburzi
    Although it's an abundantly treated matter, I'm unable to find an answer valid for my needs. I had a 12.04 installation of ubuntu and I decided to install the 12.10. I copied (using GParted) the partition where my system was to an external hd where there is a windows partition. Then I installed the newest ubuntu version and now I want to take back some files (for example my .emacs) from that partition but when I try to mount it, it is not found as sdb and if I mount it from /dev/usb/hddev0 I don't get any output, only a blinking cursor, no errors, no output. I even tried to mount it as an ntfs disk but the result was the same. It's like the hd cannot be detected. So how can I access data to that disk? Could I get them from GParted terminal instead of Ubuntu one? Thanks

    Read the article

  • Using Ubuntu to recover data from a crashed Windows install

    - by user289391
    I was using Windows on my laptop when suddenly the blue screen of death appeared and then laptop restarted and wrote for me this : Intel UNDI, PXE-2.1 (built 083) Copyright (C) 1997-200 Intel Corporation This Product is covered by one or more of the following patents: US5,307459, US5,434,872, US5732,094, US6579,884, US6115,776 and US6,327,625 Realtek PCIe FE Family Controller Series v120 (01/26/10) PXE-M0F: ExitingPXEROM. reboot failed I have Ubuntu on an external disk so I have now booted to that. Two questions: Any theories on what happened? How can I use Ubuntu to recovers my data from Windows install?

    Read the article

  • disk not accessible

    - by user107044
    i formatted my hard drive yesterday and it was working well even after the formatting. But when I restarted my system again , is is showing that the space is alloted to my files but they are inaccessible. I have even tried to unhide the files and folders, if they got hidden somehow. But nothing works. the hard drive is being shown empty but the properties are saying that it still conatins the data : http://imgur.com/ObjTE in the image, it is showing that the directory has only 1 file of size:4.8 kbps but the space being used by the drive is 11.6 GB. do suggest some solution.

    Read the article

  • SQL SERVER Data Pages in Buffer Pool Data Stored in MemoryCache

    This will drop all the clean buffers so we will be able to start again from there. Now, run the following script and check the execution plan of the query. Have you ever wondered what types of data are there in your cache? During SQL Server Trainings, I am usually asked if there is any [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • How To - Guide to Importing Data from a MySQL Database to Excel using MySQL for Excel

    - by Javier Treviño
    Fetching data from a database to then get it into an Excel spreadsheet to do analysis, reporting, transforming, sharing, etc. is a very common task among users. There are several ways to extract data from a MySQL database to then import it to Excel; for example you can use the MySQL Connector/ODBC to configure an ODBC connection to a MySQL database, then in Excel use the Data Connection Wizard to select the database and table from which you want to extract data from, then specify what worksheet you want to put the data into.  Another way is to somehow dump a comma delimited text file with the data from a MySQL table (using the MySQL Command Line Client, MySQL Workbench, etc.) to then in Excel open the file using the Text Import Wizard to attempt to correctly split the data in columns. These methods are fine, but involve some degree of technical knowledge to make the magic happen and involve repeating several steps each time data needs to be imported from a MySQL table to an Excel spreadsheet. So, can this be done in an easier and faster way? With MySQL for Excel you can. MySQL for Excel features an Import MySQL Data action where you can import data from a MySQL Table, View or Stored Procedure literally with a few clicks within Excel.  Following is a quick guide describing how to import data using MySQL for Excel. This guide assumes you already have a working MySQL Server instance, Microsoft Office Excel 2007 or 2010 and MySQL for Excel installed. 1. Opening MySQL for Excel Being an Excel Add-In, MySQL for Excel is opened from within Excel, so to use it open Excel, go to the Data tab located in the Ribbon and click MySQL for Excel at the far right of the Ribbon. 2. Creating a MySQL Connection (may be optional) If you have MySQL Workbench installed you will automatically see the same connections that you can see in MySQL Workbench, so you can use any of those and there may be no need to create a new connection. If you want to create a new connection (which normally you will do only once), in the Welcome Panel click New Connection, which opens the Setup New Connection dialog. Here you only need to give your new connection a distinctive Connection Name, specify the Hostname (or IP address) where the MySQL Server instance is running on (if different than localhost), the Port to connect to and the Username for the login. If you wish to test if your setup is good to go, click Test Connection and an information dialog will pop-up stating if the connection is successful or errors were found. 3.Opening a connection to a MySQL Server To open a pre-configured connection to a MySQL Server you just need to double-click it, so the Connection Password dialog is displayed where you enter the password for the login. 4. Selecting a MySQL Schema After opening a connection to a MySQL Server, the Schema Selection Panel is shown, where you can select the Schema that contains the Tables, Views and Stored Procedures you want to work with. To do so, you just need to either double-click the desired Schema or select it and click Next >. 5. Importing data… All previous steps were really the basic minimum needed to drill-down to the DB Object Selection Panel  where you can see the Database Objects (grouped by type: Tables, Views and Procedures in that order) that you want to perform actions against; in the case of this guide, the action of importing data from them. a. From a MySQL Table To import from a Table you just need to select it from the list of Database Objects’ Tables group, after selecting it you will note actions below the list become available; then click Import MySQL Data. The Import Data dialog is displayed; you can see some basic information here like the name of the Excel worksheet the data will be imported to (in the window title), the Table Name, the total Row Count and a 10 row preview of the data meant for the user to see the columns that the table contains and to provide a way to select which columns to import. The Import Data dialog is designed with defaults in place so all data is imported (all rows and all columns) by just clicking Import; this is important to minimize the number of clicks needed to get the job done. After the import is performed you will have the data in the Excel worksheet formatted automatically. If you need to override the defaults in the Import Data dialog to change the columns selected for import or to change the number of imported rows you can easily do so before clicking Import. In the screenshot below the defaults are overridden to import only the first 3 columns and rows 10 – 60 (Limit to 50 Rows and Start with Row 10). If the number of rows to be imported exceeds the maximum number of rows Excel can hold in its worksheet, a warning will be displayed in the dialog, meaning the imported number of rows will be limited by that maximum number (65,535 rows if the worksheet is in Compatibility Mode).  In the screenshot below you can see the Table contains 80,559 rows, but only 65,534 rows will be imported since the first row is used for the column names if the Include Column Names as Headers checkbox is checked. b. From a MySQL View Similar to the way of importing from a Table, to import from a View you just need to select it from the list of Database Objects’ Views group, then click Import MySQL Data. The Import Data dialog is displayed; identically to the way everything looks when importing from a table, the dialog displays the View Name, the total Row Count and the data preview grid. Since Views are really a filtered way to display data from Tables, it is actually as if we are extracting data from a Table; so the Import Data dialog is actually identical for those 2 Database Objects. After the import is performed, the data in the Excel spreadsheet looks like the following screenshot. Note that you can override the defaults in the Import Data dialog in the same way described above for importing data from Tables. Also the Compatibility Mode warning will be displayed if data exceeds the maximum number of rows explained before. c. From a MySQL Procedure Too import from a Procedure you just need to select it from the list of Database Objects’ Procedures group (note you can see Procedures here but not Functions since these return a single value, so by design they are filtered out). After the selection is made, click Import MySQL Data. The Import Data dialog is displayed, but this time you can see it looks different to the one used for Tables and Views.  Given the nature of Store Procedures, they require first that values are supplied for its Parameters and also Procedures can return multiple Result Sets; so the Import Data dialog shows the Procedure Name and the Procedure Parameters in a grid where their values are input. After you supply the Parameter Values click Call. After calling the Procedure, the Result Sets returned by it are displayed at the bottom of the dialog; output parameters and the return value of the Procedure are appended as the last Result Set of the group. You can see each Result Set is displayed as a tab so you can see a preview of the returned data.  You can specify if you want to import the Selected Result Set (default), All Result Sets – Arranged Horizontally or All Result Sets – Arranged Vertically using the Import drop-down list; then click Import. After the import is performed, the data in the Excel spreadsheet looks like the following screenshot.  Note in this example all Result Sets were imported and arranged vertically. As you can see using MySQL for Excel importing data from a MySQL database becomes an easy task that requires very little technical knowledge, so it can be done by any type of user. Hope you enjoyed this guide! Remember that your feedback is very important for us, so drop us a message: MySQL on Windows (this) Blog - https://blogs.oracle.com/MySqlOnWindows/ Forum - http://forums.mysql.com/list.php?172 Facebook - http://www.facebook.com/mysql Cheers!

    Read the article

  • Excel Conditional Formatting Multiple Data Bars and Data Icons in one cell

    - by wbeard52
    I am using Excel 2007 on a windows machine. I am attempting to place one data bar and one data icon into a cell under the conditional formatting. The issue is that I don't really want to have data icons or data bars for cells that have dates in the future and I only want to have data icons for dates in the at least one month in the past. This is what I have: This is what I want: I am using the EOMONTH function to determine the last day of the month for the conditional formatting calculations. For the data bar the formula is =EOMONTH(Now(), 4) and =EOMONTH(Now(), -1). The data icons formulas are =EOMONTH(Now(), -1) and =EOMONTH(Now(), -2) Is there a way in Excel 2007 to get rid of the data icons for all the dates in the future and lose the data bars when the date has past. Thanks

    Read the article

  • Criteria strings, how many different criteria can be entered to retrieve specific data?

    - by Janet
    For our membership database we are currently using an old DOS program "Arclist". The program is old but the one feature we desperately need in a database program is to be able to enter multiple criteria at one time for more of a "one time" extraction of the data meeting all the various criteria entered in what I call a "criteria string". An example may be extracting only those records with zip codes matching (67893, 54235, 54323, 54201, 54302, 54303, 54301, 67894, 67895). Another set of criteria might be to omit records, not equal to, one type of criteria in one field and also extract records matching criteria in another field. So we would want records "not equal to" in one field, but whose information equals requested information in another field.

    Read the article

  • Isolating test data in acceptance tests

    - by Matt Phillips
    I'm looking for guidance on how to keep my acceptance tests isolated. Right now the issue I'm having with being able to run the tests in parallel is the database records that are manipulated in the tests. I've written helpers that take care of doing inserts and deletes before tests are executed, to make sure the state is correct. But now I can't run them in parallel against the same database without uniquely generating the test data fields for each test. For example. Testing creating a row i'll delete everything where column A = foo and column B = bar Then I'll navigate through the UI in the test and create a record with column A = foo and column B = bar. Testing that a duplicate row is not allowed to be created. I'll insert a row with column A = foo and column B = bar and then use the UI to try and do the exact same thing. This will display an error message in the UI as expected. These tests work perfectly when ran separately and serially. But I can't run them at the same time for fear that one will create or delete a record the other is expecting. Any tips on how to structure them better so they can be run in parallel?

    Read the article

  • Space-efficient data structures for broad-phase collision detection

    - by Marian Ivanov
    As far as I know, these are three types of data structures that can be used for collision detection broadphase: Unsorted arrays: Check every object againist every object - O(n^2) time; O(log n) space. It's so slow, it's useless if n isn't really small. for (i=1;i<objects;i++){ for(j=0;j<i;j++) narrowPhase(i,j); }; Sorted arrays: Sort the objects, so that you get O(n^(2-1/k)) for k dimensions O(n^1.5) for 2d and O(n^1.67) for 3d and O(n) space. Assuming the space is 2D and sortedArray is sorted so that if the object begins in sortedArray[i] and another object ends at sortedArray[i-1]; they don't collide Heaps of stacks: Divide the objects between a heap of stacks, so that you only have to check the bucket, its children and its parents - O(n log n) time, but O(n^2) space. This is probably the most frequently used approach. Is there a way of having O(n log n) time with less space? When is it more efficient to use sorted arrays over heaps and vice versa?

    Read the article

  • Ubuntu Tools for recovering data from damaged USB Flash Drive ~ 10 Gb

    - by PREDA LUCIAN
    I have technical issues with my USB Flash Drive - JetFlash®V15 (TS16GJFV15) It's very critical situation because I can not see the data from it and I should get a way to recover them ASAP. So, in general, I have connected Non-stop that USB Flash Disk at my laptop. Was appear Power surges and when I was coming back, I saw that problem with it. Details regarding JetFlash®V15 (in present): - when I connect it on USP slot, the led is working intermittent and later on remain with constant light. - if I inspect the computer drivers, I found "Generic USB Flash Disk" (when the stick it's connected). - if I inspect "Properties", I can see next details: --- Type: unknown (application/octet-stream) --- Size: unknown --- Volume: unknown --- Accessed: unknown --- Modified: unknown I inspected that stick on 2 different computers (as well in different different USB Ports) and was the same problem, I can not see the content. I was checking with Windows 7 and Ubuntu 10.04 OS, but without success. With both OS was working before this issue. I'll appreciate an answer which will solve the problem, not an answer which will certify the problem. What I have to do, to recover the information form it (nearly 10 Gb)? I'm looking forward to be guided from a technical expert.

    Read the article

< Previous Page | 34 35 36 37 38 39 40 41 42 43 44 45  | Next Page >